CN117449910A - Intelligent comprehensive coal mine mining management system based on perception interaction technology - Google Patents
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Abstract
The invention relates to the field of interactive perception technology and intelligent comprehensive mining, in particular to a coal mine comprehensive mining intelligent management system based on the perception interactive technology, which comprises a data acquisition and transmission module, a data analysis and processing module, an early warning and command measure module and a data transmission and follow-up analysis module, wherein the data acquisition and transmission module collects data in a coal mine working environment, the data analysis and processing module receives the data of the data acquisition and transmission module and processes and analyzes the data in real time by using the data analysis technology, and when the system detects that potential risks exist in the coal mine environment, the early warning and command measure module triggers an early warning mechanism and returns the data to a data scheduling center through the data transmission and follow-up analysis module for follow-up analysis, reporting and recording. The invention has the beneficial effects that: through the perception interaction technology, the system realizes the intellectualization, informatization and refinement of the safety management of the coal mine industry, reduces the accident risk, improves the accident emergency capability and ensures the sustainable development of coal mine production.
Description
Technical Field
The invention relates to the field of interactive perception technology and intelligent fully-mechanized mining, in particular to a coal mine fully-mechanized mining intelligent management system based on the perception interactive technology.
Background
The coal mine industry is taken as an important energy industry and makes an important contribution to the social and economic development. However, due to the special working environment and high risk nature of coal mines, accidents and safety risks have been serious problems faced by the industry. Coal mine accidents not only cause casualties and property loss, but also have negative effects on social stability and sustainable development. Therefore, how to improve the safety management level in the coal mine work, prevent accidents, and ensure the lives and the health of staff is always an urgent requirement of the coal mine industry. Traditional coal mine safety management methods have achieved some achievements, such as safety training and regulation. However, the conventional method has some limitations, and is difficult to meet the complex requirements of modern coal mines. Traditional methods rely primarily on manual inspection and monitoring of stationary equipment, which may suffer from response delays, inaccurate data, and environmental conditions. In addition, manual inspection has a certain risk in a dangerous environment, and the safety of staff cannot be truly guaranteed.
In order to solve the problems, information technology, sensing technology and communication technology advanced technology are widely applied to coal mine safety management in recent years. Particularly, the development of the perception interaction technology brings new opportunities for coal mine safety management. The perception interaction technology realizes real-time monitoring and analysis of the working environment by integrating sensors, communication technology and data analysis means, so that potential risks are predicted and prevented, and the efficiency and level of safety management are improved.
The application of the perception interaction technology in the fully-mechanized intelligent management system is an innovative exploration. The system combines the instant audio and video communication technology, the intelligent wearable equipment and the data analysis technology, and realizes multidimensional sensing and intelligent management of the coal mine environment. The intelligent wearable device can sense the vital signs of staff and the states of surrounding environments in real time, and when abnormal conditions occur, the system immediately sends out alarm notification to provide safety guidance for the staff. The immersive intelligent experience dispatching center of the system processes and deeply analyzes the data collected from the intelligent wearing equipment and the sensors in real time through a data analysis technology, so that potential risks and abnormal conditions are identified, and corresponding early warning and command measures are adopted.
In addition, the coal mine industry is required to better ensure the rights and interests and safety of staff while pursuing sustainable development. The safety requirements of governments and society on coal mine industry are continuously improved, and the modernization transformation of coal mine safety management is promoted. The intelligent management system for fully mechanized coal mining based on the perception interaction technology is just a brand-new angle under the background, and provides a more advanced, intelligent and refined solution for the coal mine industry.
Disclosure of Invention
In view of the foregoing, the present invention aims to provide a real-time data anomaly detection method for electric power.
The aim of the invention is realized by the following technical scheme:
the intelligent management system comprises a data acquisition and transmission module, a data analysis and processing module, an early warning and command measure module and a data transmission and follow-up analysis module, wherein the data acquisition and transmission module collects data from a coal mine working environment, the data comprise gas concentration, temperature, humidity and pressure, the acquired data are transmitted through intelligent wearing equipment so as to be analyzed and processed later, the data analysis and processing module receives the data from the intelligent wearing equipment, the data are processed and analyzed in real time by using the data analysis technology, the system can make quick response by identifying abnormal conditions and risk factors, when the system detects that potential risks exist in the coal mine environment, the early warning and command measure module provides proper command measures according to analysis results, the safety of personnel is ensured, the intelligent wearing equipment not only transmits real-time environment data, but also can measure vital signs and equipment states of the personnel, the data are transmitted back to a center, the data transmission and follow-up analysis module analyzes, reports and records, and helps a coal mine enterprise to evaluate events, and better preventive and management measures are taken.
Further, the data acquisition and transmission module collects data from the coal mine working environment and transmits the data to the core immersive intelligent experience scheduling center of the system, in the coal mine environment, various sensor devices are deployed and used for monitoring different environment parameters including gas concentration, temperature, humidity and pressure in real time, each sensor is responsible for collecting data of a specific type, so that the state and potential risk of a workplace are comprehensively known, vital signs of staff and the conditions of surrounding environments can be monitored in real time through the intelligent wearing device, the intelligent wearing device is provided with various sensors, the safety of the staff can be guaranteed, and precious data sources can be provided for the system.
Further, the collected data needs to be quickly and reliably transmitted to the immersed intelligent experience dispatching center of the system, the wireless communication technology is adopted to ensure that the data can be transmitted to the immersed intelligent experience dispatching center of the system in real time, the data transmission channel transmits the data to the immersed intelligent experience dispatching center of the system, the immersed intelligent experience dispatching center of the system has strong data processing and analyzing capacity and can process a large amount of real-time data and respond correspondingly, the data collection and transmission module can integrate and store the collected data from different sensors and intelligent wearable devices, a comprehensive environment image is formed, subsequent data analysis and pattern recognition are facilitated, encryption communication and data protection measures are adopted, and data leakage or unauthorized access is prevented.
Further, the data analysis and processing module receives the environmental data transmitted from the data acquisition and transmission module, performs real-time processing and deep analysis by using a data analysis technology, the system needs to integrate the data to form a complete scene image, uses a real-time data processing technology to rapidly analyze the happening event, detect abnormal conditions and respond timely, the data analysis and processing module identifies hidden modes, trends and anomalies from the data, the mode identification can help the system predict possible risk factors and identify common dangerous events, and when the anomalies or risk factors are detected, the data analysis and processing module generates real-time early warning to inform relevant personnel to take necessary measures.
Furthermore, the invention provides a real-time data processing technology for processing data in real time, and the data stream comprises gas concentration, temperature, humidity and pressure, and S is used for each data stream 1 ，s 2 ，s 3 Sum s 4 The gas concentration, temperature, humidity and pressure data collected by the sensor are continuous and have time sequence, so the data frequency for defining the gas concentration, temperature, humidity and pressure is w respectively 1 ，w 2 ，w 3 And w 4 Data amplitudes defining gas concentration, temperature, humidity, and pressure are A respectively 1 ，A 2 ，A 3 And A 4 Each data element has a time stamp T, T is a statistical period, and T e T, a window is used to limit the processing range of the data, and a response function of a rolling window with a size of N at the moment of time T is:wherein v is sampling frequency, j is imaginary parameter, and window function defining gas concentration, temperature, humidity and pressure is:
wherein,for normalized gas concentration amplitude, +.>For normalized temperature amplitude, ++>For the normalized humidity amplitude, ++>For normalized pressure amplitude, the data stream function S (t) filtered by the window function is:
wherein a= { a 1 ,A 2 ,A 3 ,A 4 And is the collection of gas concentration, temperature, humidity and pressure data,is a normalized set of gas concentration, temperature, humidity, pressure data.
Furthermore, as the collected gas concentration, temperature, humidity and pressure all have respective characteristics, the invention models the gas concentration, temperature, humidity and pressure respectively so as to adapt to the intelligent management system for fully mechanized coal mining based on the perception interaction technology, which is provided by the invention, and comprises the following specific steps:
define the gas concentration variation as:
wherein A is 1 (t)' represents a change in gas concentrationThe chemical rate, Γ is the diffusion coefficient, x is the position coordinate, R (x, t) is the removal rate, Q (x, t) rate constant, depending on the position and time, is used to represent the rate of gas generation at a specific position and time point, G (t) represents the source term function at time t, describing the variation of the gas source behavior with time, the proposed rate of change of the gas concentration taking into account the diffusion, removal and source term effects;
defining a temperature function as:
A 2 (t)＝Te 0 +(max(Te)-min(Te))sin(2πft+φ)+ε(t)
wherein Te represents the temperature, is a function of the time t, te 0 The invention sets an hour as a calculation period, and has the following stepsPhi is a temperature adjustment factor, the initial time of temperature adjustment, epsilon (t) represents an error term, the error term considers unpredictable factors such as the previous change of weather, weather abnormality and the like, and the error term is estimated according to actual observation data or simulation, so that the adaptability of an algorithm is enhanced;
defining a humidity function as:
wherein delta is saturated water vapor pressure difference slope, R n Is net radiation, G is heat flux, gamma is adaptation constant, U is wind speed, e s Is saturated water vapor pressure, e a For the actual water vapor pressure, alpha and beta are mutually independent adjusting parameters, D soil R is the difference between the actual humidity and the critical humidity soil For evaporation rate, delta is the transpiration rate response function, comprising temperature, photosynthetically Active Radiation (PAR) and net radiation (R n ) E (t) adding humidity to represent the humidity contribution of other factors;
defining a pressure function as:
wherein,for initial pressure, (max (A) 4 )-min(A 4 ) A) represents a solar pressure difference, j is an imaginary parameter, l is a pressure change frequency, phi is a pressure regulating factor, < ->Is->Conjugate of the term.
Further, the data analysis and processing module further processes the data according to the counted gas concentration, temperature, humidity and pressure to define S 1 (t),S 2 (t),S 3 (t),S 4 (t) the data flow functions after filtering the window functions of gas concentration, temperature, humidity and pressure respectively, and updating the response function of the gas concentration to be:
the response function for temperature is updated as:
the response function for humidity is updated as:
the response function for pressure is updated as:
further, when a potential risk or an abnormal situation is detected, the early warning and command measure module provides timely early warning notification for related personnel and provides proper command measures to ensure the safety of the personnel, and the method specifically comprises the following steps: abnormality detection and risk early warning, instant alarm notification, personalized command measures, coordination and linkage and interaction of a command center, wherein the abnormality detection and risk early warning is performed through analysis of a data analysis and processing module, the system detects an abnormality in the environment, and the early warning and command measure module immediately triggers an early warning mechanism; the system can send instant alarm notification to related personnel when abnormality or risk occurs, the instant alarm notification is realized by intelligent wearable equipment, mobile application programs, sound or optical signals, the content of the notification can clearly indicate the occurrence of problems and actions to be taken, the personalized command measures are needed by different risk conditions, the early warning and command measure modules provide personalized command suggestions according to specific conditions, the staff is helped to take correct actions, the coordination and linkage are carried out, the risk can involve a plurality of personnel and equipment, and at the moment, the early warning and command measure modules coordinate the linkage among different departments or personnel, so that comprehensive and coordinated response and actions are ensured; the early warning and command measure module interacts with an immersive intelligent experience scheduling center of the system, and the system receives instructions from the scheduling center to optimize the action scheme.
Further, the data transmission and follow-up analysis module transmits the data obtained from the data acquisition and transmission module to the core immersive intelligent experience scheduling center, the immersive intelligent experience scheduling center receives the data from the data transmission channel and stores the data in a database or other data storage system, the stored historical data is analyzed to identify trends, modes and potential risk factors, the system can better know environment changes and risk evolution through analysis of the historical data, the data transmission and follow-up analysis module generates reports, the historical data, trends and events of the environment conditions are summarized, decision support is provided for coal mine managers to help better know the conditions of the coal mine working environment, and the modules present complex data into graphs, graphs or instrument panels which are easy to understand through a data visualization technology, so that the managers can intuitively know the data and quickly identify potential problems.
The invention has the beneficial effects that: the method can timely detect potential risk factors and abnormal conditions in the coal mine environment through a real-time perception interaction technology. The intelligent wearable equipment worn by the staff monitors vital signs of the staff and states of surrounding environments in real time. Once the dangerous situation is found, the system can immediately send out alarm notification and provide corresponding command measures to ensure the safety of staff, and the innovation is that: according to the invention, various sensor devices are deployed for monitoring different environmental parameters in real time, including gas concentration, temperature, humidity and pressure, in a data analysis and processing module, modeling is provided for the gas concentration, the temperature, the humidity and the pressure in consideration of application scenes of a fully-mechanized intelligent management system, firstly, gas concentration change is provided, the influence of diffusion, removal and source items is considered, further expansion and adjustment can be carried out according to specific conditions and needs, more factors such as the influence of wind speed, humidity, temperature and the like on the diffusion are considered, then a temperature function is provided, the change trend of the temperature in one day is described, sin (2pi ft+phi) is used for simulating the periodic change of the temperature in one day, the period of the sine function is one day, the amplitude of the sine function is controlled by the daily temperature difference (max (Te) -min (Te)), the phase phi is used for adjusting the initial time of the temperature so as to adapt to the conditions of different geographic positions and increase error items, the error items consider unpredictable factors such as the former change, weather abnormality and the like, the error items are estimated according to actual observation data or simulation, the adaptability of an algorithm is enhanced, and the evaporation and the vapor contribution and the humidity are considered; finally, the invention provides the pressure function, the influence of the pressure change frequency on the pressure function is shown and emphasized by utilizing the imaginary transformation, and the expression pressure function provided by the invention can correctly show the periodic change of the atmospheric pressure, and is suitable for a real fully-mechanized mining scene. The invention expands the response function by utilizing the window function, which is characterized in that the sensor has larger influence on the position, the signal, the noise and the vibration due to the complicated situation of the fully mechanized mining scene, and reduces the leakage of the sampled data, controls the data resolution, weakens the side lobes of the sampled data and cuts off the tail of the signal by utilizing the window function and removes the unnecessary part in the signal, thereby realizing the denoising and preprocessing of the signal. The intelligent coal mine safety management system combines multiple technologies of data acquisition, transmission, analysis and early warning, and achieves the intelligent coal mine safety management. The system can automatically monitor and analyze environmental data, predict potential risks, and take action if necessary. This makes the security management process more intelligent and efficient, improving the accident prevention and emergency response capabilities. In addition, the invention can analyze the data acquired in real time. Once the potential risk factors or abnormal conditions are found, the system generates real-time early warning notices, timely alerts related personnel and provides corresponding action suggestions. This helps to respond quickly at critical moments, reducing the risk of accidents, and the system not only simply alerts but also provides personalized command measures according to different risk situations. The measures are adjusted according to different characteristics of the environment and actual conditions of staff, so that the staff is helped to take proper actions to ensure safety, the risk of coal mine accidents is reduced, and casualties and property loss are reduced. The method is beneficial to improving the safety production level of the coal mine industry, guaranteeing the rights and interests of staff, and improving the trust of society to the coal mine industry, so that the sustainable development of the industry is promoted.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation on the invention, and other drawings can be obtained by one of ordinary skill in the art without undue effort from the following drawings.
Fig. 1 is a schematic diagram of the structure of the present invention.
Detailed Description
The invention will be further described with reference to the following examples.
Referring to fig. 1, the intelligent management system for fully mechanized coal mining based on the perception interaction technology comprises a data acquisition and transmission module, a data analysis and processing module, an early warning and command measure module and a data transmission and follow-up analysis module, wherein the data acquisition and transmission module collects data from a coal mine working environment, the data comprise gas concentration, temperature, humidity and pressure, the collected data are transmitted through an intelligent wearing device so as to be convenient for follow-up analysis and processing, the data analysis and processing module receives the data from the intelligent wearing device, the data are processed and analyzed in real time by using the data analysis technology, abnormal conditions and risk factors are identified, the system can make a quick response, when the system detects potential risks in the coal mine environment, the early warning and command measure module provides proper command measures according to analysis results, the safety of personnel is ensured, the intelligent wearing device can also measure vital signs and device states of the personnel, and the data are transmitted back to a center, and the data transmission and follow-up analysis module is used for analyzing, reporting and recording events, so that coal mine enterprises can be helped to evaluate, and better precaution and management measures are taken.
Specifically, data acquisition and transmission module collect data from colliery operational environment to with the core immersive wisdom of data transmission to the system experience dispatch center, in colliery environment, deployed multiple sensor equipment for the different environmental parameter of real-time supervision, including gas concentration, temperature, humidity, pressure, every sensor is responsible for collecting specific type's data, thereby comprehensively know the state and the potential risk of workplace, can real-time supervision staff's vital sign and the circumstances of surrounding environment through intelligent wearing equipment, intelligent wearing equipment has equipped various sensors, not only can ensure staff's safety, can also provide the precious data source for the system.
Specifically, the collected data needs to be quickly and reliably transmitted to the immersive intelligent experience dispatching center of the system, the wireless communication technology is adopted to ensure that the data can be transmitted to the immersive intelligent experience dispatching center of the system in real time, the data transmission channel transmits the data to the immersive intelligent experience dispatching center of the system, the immersive intelligent experience dispatching center of the system has strong data processing and analyzing capacity and can process a large amount of real-time data and respond correspondingly, the data collection and transmission module can integrate and store the collected data from different sensors and intelligent wearable devices, a comprehensive environment image is formed, subsequent data analysis and pattern recognition are facilitated, encryption communication and data protection measures are adopted, and data leakage or unauthorized access is prevented.
Specifically, the data analysis and processing module receives the environmental data transmitted from the data acquisition and transmission module, performs real-time processing and deep analysis by using a data analysis technology, the system needs to integrate the data to form a complete scene image, uses a real-time data processing technology to rapidly analyze the happening event, detect abnormal conditions and respond timely, the data analysis and processing module identifies hidden modes, trends and anomalies from the data, the mode identification can help the system predict possible risk factors and identify common dangerous events, and when the anomalies or risk factors are detected, the data analysis and processing module generates real-time early warning to inform relevant personnel to take necessary measures.
Preferably, the invention provides a real-time data processing technique for processing data in real time, and the data stream comprises gas concentration, temperature, humidity and pressure, and S is used for each 1 ，s 2 ，s 3 Sum s 4 The gas concentration, temperature, humidity and pressure data collected by the sensor are continuous and have time sequence, so the data frequency for defining the gas concentration, temperature, humidity and pressure is w respectively 1 ，w 2 ，w 3 And w 4 Data amplitudes defining gas concentration, temperature, humidity, and pressure are A respectively 1 ，A 2 ，A 3 And A 4 Each data element has a time stamp T, T is a statistical period, and T e T, a window is used to limit the processing range of the data, and a response function of a rolling window with a size of N at the moment of time T is:wherein c is sampling frequency, j is imaginary parameter, and window function defining gas concentration, temperature, humidity and pressure is:
wherein,for normalized gas concentration amplitude, +.>For normalized temperature amplitude, ++>For the normalized humidity amplitude, ++>For normalized pressure amplitude, the data stream function S (t) filtered by the window function is:
wherein a= { a 1 ,A 2 ,A 3 ,A 4 And is the collection of gas concentration, temperature, humidity and pressure data,is a normalized set of gas concentration, temperature, humidity, pressure data.
Preferably, the invention models the gas concentration, temperature, humidity and pressure respectively because the collected gas concentration, temperature, humidity and pressure have respective characteristics, so as to adapt to the intelligent management system for fully mechanized coal mining based on the perception interaction technology, which is provided by the invention, and comprises the following concrete steps:
define the gas concentration variation as:
wherein A is 1 (t) denotes the rate of change of the gas concentration, Γ is the diffusion coefficient, x is the position coordinate, R (x, t) is the removal rate, Q (x, t) rate constant, depending on the position and time, is used to denote the rate of gas generation at a specific position and point in time, G (t) denotes the source term function at time t, describing the change of the behavior of the gas source over time, the rate of change of the gas concentration proposed by the present invention taking into account the effects of diffusion, removal and source term;
defining a temperature function as:
A 2 (t)＝Te 0 +(max(Te)-min(Te))sin(2πft+φ)+ε(t)
wherein Te represents the temperature, is a function of the time t, te 0 The invention sets an hour as a calculation period, and has the following stepsPhi is a temperature adjustment factor, the initial time of temperature adjustment, epsilon (t) represents an error term, the error term considers unpredictable factors such as the previous change of weather, weather abnormality and the like, and the error term is estimated according to actual observation data or simulation, so that the adaptability of an algorithm is enhanced;
defining a humidity function as:
wherein delta is saturated water vapor pressure difference slope, R n Is net radiation, G is heat flux, gamma is adaptation constant, U is wind speed, e s Is saturated water vapor pressure, e a For the actual water vapor pressure, alpha and beta are mutually independent adjusting parameters, D soil R is the difference between the actual humidity and the critical humidity soil For evaporation rate, delta is the response function of the transpiration rate, comprising temperature, photosynthetically Active Radiation (PAR)And net radiation (R) n ) E (t) adding humidity to represent the humidity contribution of other factors;
defining a pressure function as:
wherein,for initial pressure, (max (A) 4 )-min(A 4 ) A) represents a solar pressure difference, j is an imaginary parameter, l is a pressure change frequency, phi is a pressure regulating factor, < ->Is->Conjugate of the term.
Specifically, the data analysis and processing module further processes the data according to the counted gas concentration, temperature, humidity and pressure, and defines S 1 (t),S 2 (t),S 3 (t),S 4 (t) the data flow functions after filtering the window functions of gas concentration, temperature, humidity and pressure respectively, and updating the response function of the gas concentration to be:
the response function for temperature is updated as:
the response function for humidity is updated as:
the response function for pressure is updated as:
specifically, when a potential risk or an abnormal situation is detected, the early warning and command measure module provides timely early warning notification for related personnel and provides proper command measures to ensure the safety of the personnel, and the method specifically comprises the following steps: abnormality detection and risk early warning, instant alarm notification, personalized command measures, coordination and linkage and interaction of a command center, wherein the abnormality detection and risk early warning is performed through analysis of a data analysis and processing module, the system detects an abnormality in the environment, and the early warning and command measure module immediately triggers an early warning mechanism; the system can send instant alarm notification to related personnel when abnormality or risk occurs, the instant alarm notification is realized by intelligent wearable equipment, mobile application programs, sound or optical signals, the content of the notification can clearly indicate the occurrence of problems and actions to be taken, the personalized command measures are needed by different risk conditions, the early warning and command measure modules provide personalized command suggestions according to specific conditions, the staff is helped to take correct actions, the coordination and linkage are carried out, the risk can involve a plurality of personnel and equipment, and at the moment, the early warning and command measure modules coordinate the linkage among different departments or personnel, so that comprehensive and coordinated response and actions are ensured; the early warning and command measure module interacts with an immersive intelligent experience scheduling center of the system, and the system receives instructions from the scheduling center to optimize the action scheme.
Specifically, the data transmission and follow-up analysis module transmits the data obtained from the data acquisition and transmission module to the core immersive intelligent experience scheduling center, the immersive intelligent experience scheduling center receives the data from the data transmission channel and stores the data in a database or other data storage system, the stored historical data is analyzed to identify trends, modes and potential risk factors, the system can better understand environment changes and risk evolution through analysis of the historical data, the data transmission and follow-up analysis module generates reports, the historical data, trends and events of the environmental conditions are summarized, decision support is provided for coal mine managers to help better understand the conditions of the coal mine working environment, and the modules present complex data as graphs, graphs or instrument panels which are easy to understand through a data visualization technology, so that the managers can intuitively understand the data and quickly identify potential problems.
The invention has the beneficial effects that: the invention has the beneficial effects that: the method can timely detect potential risk factors and abnormal conditions in the coal mine environment through a real-time perception interaction technology. The intelligent wearable equipment worn by the staff monitors vital signs of the staff and states of surrounding environments in real time. Once the dangerous situation is found, the system can immediately send out alarm notification and provide corresponding command measures to ensure the safety of staff, and the innovation is that: according to the invention, various sensor devices are deployed for monitoring different environmental parameters in real time, including gas concentration, temperature, humidity and pressure, in a data analysis and processing module, modeling is provided for the gas concentration, the temperature, the humidity and the pressure in consideration of application scenes of a fully-mechanized intelligent management system, firstly, gas concentration change is provided, the influence of diffusion, removal and source items is considered, further expansion and adjustment can be carried out according to specific conditions and needs, more factors such as the influence of wind speed, humidity, temperature and the like on the diffusion are considered, then a temperature function is provided, the change trend of the temperature in one day is described, sin (2pi ft+phi) is used for simulating the periodic change of the temperature in one day, the period of the sine function is one day, the amplitude of the sine function is controlled by the daily temperature difference (max (Te) -min (Te)), the phase phi is used for adjusting the initial time of the temperature so as to adapt to the conditions of different geographic positions and increase error items, the error items consider unpredictable factors such as the former change, weather abnormality and the like, the error items are estimated according to actual observation data or simulation, the adaptability of an algorithm is enhanced, and the evaporation and the vapor contribution and the humidity are considered; finally, the invention provides the pressure function, the influence of the pressure change frequency on the pressure function is shown and emphasized by utilizing the imaginary transformation, and the expression pressure function provided by the invention can correctly show the periodic change of the atmospheric pressure, and is suitable for a real fully-mechanized mining scene. The invention expands the response function by utilizing the window function, which is characterized in that the sensor has larger influence on the position, the signal, the noise and the vibration due to the complicated situation of the fully mechanized mining scene, and reduces the leakage of the sampled data, controls the data resolution, weakens the side lobes of the sampled data and cuts off the tail of the signal by utilizing the window function and removes the unnecessary part in the signal, thereby realizing the denoising and preprocessing of the signal. The intelligent coal mine safety management system combines multiple technologies of data acquisition, transmission, analysis and early warning, and achieves the intelligent coal mine safety management. The system can automatically monitor and analyze environmental data, predict potential risks, and take action if necessary. This makes the security management process more intelligent and efficient, improving the accident prevention and emergency response capabilities. In addition, the invention can analyze the data acquired in real time. Once the potential risk factors or abnormal conditions are found, the system generates real-time early warning notices, timely alerts related personnel and provides corresponding action suggestions. This helps to respond quickly at critical moments, reducing the risk of accidents, and the system not only simply alerts but also provides personalized command measures according to different risk situations. The measures are adjusted according to different characteristics of the environment and actual conditions of staff, so that the staff is helped to take proper actions to ensure safety, the risk of coal mine accidents is reduced, and casualties and property loss are reduced. The method is beneficial to improving the safety production level of the coal mine industry, guaranteeing the rights and interests of staff, and improving the trust of society to the coal mine industry, so that the sustainable development of the industry is promoted.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. The intelligent management system for fully mechanized coal mining based on the perception interaction technology is characterized by comprising a data acquisition and transmission module, a data analysis and processing module, an early warning and command measure module and a data transmission and follow-up analysis module, wherein the data acquisition and transmission module collects data from a coal mine working environment, the data comprise gas concentration, temperature, humidity and pressure, the acquired data are transmitted through intelligent wearing equipment so as to be convenient for follow-up analysis and processing, the data analysis and processing module receives the data from the intelligent wearing equipment, the data are processed and analyzed in real time by using the data analysis technology, abnormal conditions and risk factors are identified, the system can make quick response, when the system detects potential risks in the coal mine environment, the early warning and command measure module provides proper command measures according to analysis results, the safety of personnel is ensured, the intelligent wearing equipment can also measure vital signs and equipment states of the personnel, and the data are transmitted back to a center, and the follow-up analysis module is used for analyzing, reporting and recording, the events are helped to be evaluated by coal mine enterprises, and better precautions and management measures are taken.
2. The intelligent management system for fully-mechanized coal mining based on the perception interaction technology according to claim 1, wherein the data acquisition and transmission module collects data from a coal mine working environment and transmits the data to a core immersive intelligent experience dispatching center of the system, in the coal mine environment, various sensor devices are deployed for monitoring different environment parameters including gas concentration, temperature, humidity and pressure in real time, each sensor is responsible for collecting data of a specific type, so that the state and potential risk of a workplace are comprehensively known, vital signs of staff and conditions of surrounding environments can be monitored in real time through intelligent wearing equipment, and the intelligent wearing equipment is provided with various sensors, so that the safety of the staff can be guaranteed, and precious data sources can be provided for the system.
3. The fully-mechanized mining intelligent management system based on the perception interaction technology according to claim 2, wherein collected data needs to be quickly and reliably transmitted to an immersive intelligent experience dispatching center of the system, the data can be guaranteed to be transmitted to the immersive intelligent experience dispatching center of the system in real time by adopting a wireless communication technology, a data transmission channel is used for transmitting the data to the immersive intelligent experience dispatching center of the system, the immersive intelligent experience dispatching center of the system has strong data processing and analyzing capacity and can process a large amount of real-time data and respond correspondingly, a data collection and transmission module can integrate and store the data collected from different sensors and intelligent wearable equipment, a comprehensive environment image is formed, subsequent data analysis and pattern recognition are facilitated, and encryption communication and data protection measures are adopted to prevent data leakage or unauthorized access.
4. The intelligent management system for fully-mechanized coal mining based on the perception interaction technology according to claim 1, wherein the data analysis and processing module receives the environmental data transmitted from the data acquisition and transmission module, performs real-time processing and deep analysis by using the data analysis technology, integrates the data to form a complete scene image, rapidly analyzes the occurring event by using the real-time data processing technology, detects abnormal conditions and responds in time, and the data analysis and processing module identifies implicit modes, trends and anomalies from the data, wherein the mode identification can help the system predict possible risk factors and identify common risk events, and when the anomalies or risk factors are detected, the data analysis and processing module generates real-time early warning to inform relevant personnel to take necessary measures.
5. The intelligent comprehensive mining management system based on the perception interaction technology according to claim 4, wherein the invention provides a real-time data processing technology for processing data in real time, and the data flow comprises gas concentration, temperature, humidity and pressure, and S is used for each data flow 1 ，s 2 ，s 3 Sum s 4 The gas concentration, temperature, humidity and pressure data collected by the sensor are continuous and have time sequence, so the data frequency for defining the gas concentration, temperature, humidity and pressure is w respectively 1 ，w 2 ，w 3 And w 4 Data amplitudes defining gas concentration, temperature, humidity, and pressure are A respectively 1 ，A 2 ，A 3 And A 4 Each data element has a time stamp T, T is a statistical period, and T e T, a window is used to limit the processing range of the data, and a response function of a rolling window with a size of N at the moment of time T is:wherein v is sampling frequency, j is imaginary parameter, and window function defining gas concentration, temperature, humidity and pressure is:
wherein,for normalized gas concentration amplitude, +.>For normalized temperature amplitude, ++>For the normalized humidity amplitude, ++>For normalized pressure amplitude, the data stream function S (t) filtered by the window function is:
wherein a= { a 1 ,A 2 ,A 3 ,A 4 And is the collection of gas concentration, temperature, humidity and pressure data,is a normalized set of gas concentration, temperature, humidity, pressure data.
6. The intelligent management system for fully-mechanized coal mining based on the perception interaction technology according to claim 5, wherein the intelligent management system for fully-mechanized coal mining based on the perception interaction technology is characterized in that the concentration, the temperature, the humidity and the pressure of the collected gas are respectively characterized, and the intelligent management system for fully-mechanized coal mining based on the perception interaction technology is provided by the invention, and is specifically characterized in that:
define the gas concentration variation as:
wherein A is 1 (t) represents the rate of change of the gas concentration, Γ is the diffusion coefficient, x is the position coordinate, R (x, t) is the removal rate, Q (x, t) rate constant, depending on the position and time, is used to represent the rate of gas generation at a specific position and point in time, G (t) represents the source term function at time t, describing the change of the behavior of the gas source over time, the rate of change of the gas concentration proposed by the present invention taking into account the effects of diffusion, removal and source term;
defining a temperature function as:
A 2 (t)＝Te 0 +(max(Te)-min(Te))sin(2πft+φ)+ε(t)；
wherein Te represents the temperature, is a function of the time t, te 0 The invention sets an hour as a calculation period, and has the following stepsPhi is a temperature adjustment factor, the initial time of temperature adjustment, epsilon (t) represents an error term, the error term considers unpredictable factors such as the previous change of weather, weather abnormality and the like, and the error term is estimated according to actual observation data or simulation, so that the adaptability of an algorithm is enhanced;
defining a humidity function as:
wherein delta is saturated water vapor pressure difference slope, R n Is net radiation, G is heat flux, gamma is adaptation constant, U is wind speed, es is saturated water vapor pressure, e a For the actual water vapor pressure, alpha and beta are mutually independent adjusting parameters, D soil R is the difference between the actual humidity and the critical humidity soil For evaporation rate, delta is the transpiration rate response function, comprising temperature, photosynthetically Active Radiation (PAR) and net radiation (R n ) E (t) adding humidity to represent the humidity contribution of other factors;
defining a pressure function as:
wherein,for initial pressure, (max (A) 4 )-min(A 4 ) A) represents a solar pressure difference, j is an imaginary parameter, l is a pressure change frequency, phi is a pressure regulating factor, < ->Is->Conjugate of the term.
7. The intelligent management system for fully mechanized coal mining based on the perception interaction technology according to claim 5, wherein the data analysis and processing module further processes the data according to the counted gas concentration, temperature, humidity and pressure, and defines S 1 (t),S 2 (t),S 3 (t),S 4 (t) the data flow functions after filtering the window functions of gas concentration, temperature, humidity and pressure respectively, and updating the response function of the gas concentration to be:
the response function for temperature is updated as:
the response function for humidity is updated as:
the response function for pressure is updated as:
8. the intelligent management system for fully-mechanized coal mining based on the perception interaction technology according to claim 1, wherein the early warning and command measure module provides timely early warning notification to related personnel and provides proper command measures to ensure the safety of the personnel when the potential risk or abnormal situation is detected, specifically comprising: abnormality detection and risk early warning, instant alarm notification, personalized command measures, coordination and linkage and interaction of a command center, wherein the abnormality detection and risk early warning is performed through analysis of a data analysis and processing module, the system detects an abnormality in the environment, and the early warning and command measure module immediately triggers an early warning mechanism; the system can send instant alarm notification to related personnel when abnormality or risk occurs, the instant alarm notification is realized by intelligent wearable equipment, mobile application programs, sound or optical signals, the content of the notification can clearly indicate the occurrence of problems and actions to be taken, the personalized command measures are needed by different risk conditions, the early warning and command measure modules provide personalized command suggestions according to specific conditions, the staff is helped to take correct actions, the coordination and linkage are carried out, the risk can involve a plurality of personnel and equipment, and at the moment, the early warning and command measure modules coordinate the linkage among different departments or personnel, so that comprehensive and coordinated response and actions are ensured; the early warning and command measure module interacts with an immersive intelligent experience scheduling center of the system, and the system receives instructions from the scheduling center to optimize the action scheme.
9. The fully-mechanized coal mining intelligent management system based on the perception interaction technology according to claim 1, wherein the data transmission and follow-up analysis module transmits the data obtained from the data acquisition and transmission module to the core immersive intelligent experience scheduling center, the immersive intelligent experience scheduling center receives the data from the data transmission channel and stores the data in a database or other data storage system, analyzes the stored historical data to identify trends, modes and potential risk factors, the system can better understand environmental changes and risk evolution through analysis of the historical data, the data transmission and follow-up analysis module generates reports, gathers the historical data, trends and events of environmental conditions, the reports provide decision support for coal mine managers to help better understand the conditions of the coal mine working environment, and the module presents the complex data as a chart, a graph or an instrument panel which is easy to understand through the data visualization technology, so that the managers can intuitively understand the data and quickly identify potential problems.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102722775A (en) * | 2012-05-16 | 2012-10-10 | 山西潞安环保能源开发股份有限公司 | Security crisis management system and method for coal mine |
| CN106523033A (en) * | 2016-12-29 | 2017-03-22 | 深圳汇创联合自动化控制有限公司 | Efficient coal mine safety monitoring system |
| CN106971267A (en) * | 2017-03-28 | 2017-07-21 | 辽宁工程技术大学 | A kind of coal mine safety management risk evaluating method |
| CN114961857A (en) * | 2022-04-14 | 2022-08-30 | 山东科技大学 | Mine neural network perception and intelligent early warning method based on Internet of things |
| LU501766B1 (en) * | 2022-03-31 | 2022-10-03 | Univ Anhui Sci & Technology | Coal pillar stability detection system in a complex environment |
| CN115512297A (en) * | 2022-09-28 | 2022-12-23 | 东北大学 | Active non-coal mine safety risk identification system based on edge calculation |
| CN115614103A (en) * | 2022-11-15 | 2023-01-17 | 兖矿能源集团股份有限公司 | Coal mine rock burst monitoring device and method based on GIS and MS technology |
| CN115929383A (en) * | 2022-12-22 | 2023-04-07 | 国能榆林能源有限责任公司 | Accurate monitoring of colliery conflagration and multiple prevention and control system |
| CN116704692A (en) * | 2023-06-07 | 2023-09-05 | 山东尚安智能科技有限公司 | Fire control emergency early warning system based on artificial intelligence |
| CN116841262A (en) * | 2023-06-27 | 2023-10-03 | 北京红山信息科技研究院有限公司 | Intelligent factory production on-line monitoring analysis system based on machine vision |
| CN116887211A (en) * | 2023-09-06 | 2023-10-13 | 北京航天华腾科技有限公司 | Low-power consumption system for deep water drilling gas invasion data analysis |
-
2023
- 2023-10-26 CN CN202311394782.7A patent/CN117449910B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102722775A (en) * | 2012-05-16 | 2012-10-10 | 山西潞安环保能源开发股份有限公司 | Security crisis management system and method for coal mine |
| CN106523033A (en) * | 2016-12-29 | 2017-03-22 | 深圳汇创联合自动化控制有限公司 | Efficient coal mine safety monitoring system |
| CN106971267A (en) * | 2017-03-28 | 2017-07-21 | 辽宁工程技术大学 | A kind of coal mine safety management risk evaluating method |
| LU501766B1 (en) * | 2022-03-31 | 2022-10-03 | Univ Anhui Sci & Technology | Coal pillar stability detection system in a complex environment |
| CN114961857A (en) * | 2022-04-14 | 2022-08-30 | 山东科技大学 | Mine neural network perception and intelligent early warning method based on Internet of things |
| CN115512297A (en) * | 2022-09-28 | 2022-12-23 | 东北大学 | Active non-coal mine safety risk identification system based on edge calculation |
| CN115614103A (en) * | 2022-11-15 | 2023-01-17 | 兖矿能源集团股份有限公司 | Coal mine rock burst monitoring device and method based on GIS and MS technology |
| CN115929383A (en) * | 2022-12-22 | 2023-04-07 | 国能榆林能源有限责任公司 | Accurate monitoring of colliery conflagration and multiple prevention and control system |
| CN116704692A (en) * | 2023-06-07 | 2023-09-05 | 山东尚安智能科技有限公司 | Fire control emergency early warning system based on artificial intelligence |
| CN116841262A (en) * | 2023-06-27 | 2023-10-03 | 北京红山信息科技研究院有限公司 | Intelligent factory production on-line monitoring analysis system based on machine vision |
| CN116887211A (en) * | 2023-09-06 | 2023-10-13 | 北京航天华腾科技有限公司 | Low-power consumption system for deep water drilling gas invasion data analysis |
Non-Patent Citations (2)
| Title |
|---|
| 聂百胜;彭斌;范鹏宏;王龙康;郭昊;于红阳;刘帅;刘旭涛;: "矿山无线安全监测预警系统设计及关键技术", 煤炭科学技术, no. 07, 19 July 2016 (2016-07-19), pages 53 - 59 * |
| 霍中刚;武先利;: "互联网+智慧矿山发展方向", 煤炭科学技术, no. 07, 19 July 2016 (2016-07-19), pages 28 - 34 * |
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