CN115631625A - Smart mine management and control system based on big data platform - Google Patents
Smart mine management and control system based on big data platform Download PDFInfo
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The invention belongs to the field of mine management and control, relates to a data analysis technology, and is used for solving the problem that the existing intelligent mine management and control system cannot accurately judge the mine underground driving standard, in particular to an intelligent mine management and control system based on a big data platform, which comprises a mine management and control platform, wherein the mine management and control platform is in communication connection with a vehicle supervision module, a safety monitoring module, a rescue supervision module and a storage module; the vehicle supervision module is used for carrying out operation supervision analysis on underground mine vehicles: marking underground mine vehicles as supervision objects, carrying out speed limit marking on driving paths of the supervision objects to obtain a plurality of speed limit sections and non-speed limit sections, and obtaining the driving speed of the supervision objects and marking the driving speed as a driving speed value; the mine underground vehicle monitoring system can be used for monitoring and analyzing the operation of the mine underground vehicle through the vehicle monitoring module, and the driving standard of a monitored object is fed back by adopting different standards after marking is finished, so that the underground driving safety is improved.
Description
Technical Field
The invention belongs to the field of mine management and control, relates to a data analysis technology, and particularly relates to a smart mine management and control system based on a big data platform.
Background
The intelligent mine is based on the premise and foundation of mine digitization and informatization, active sensing, automatic analysis and rapid processing are carried out on mine production, occupational health and safety, technical support, logistics support and the like, the intelligent mine is built, and finally the construction of a safe mine, an unmanned mine, a high-efficiency mine and a clean mine is realized.
The current wisdom mine management and control system is driving in the pit through the surveillance video usually, construction safety is monitored, but because the road conditions in the pit of mine is complicated with the environment, consequently can't adopt unified standard to monitor the early warning to driving speed, and then can't carry out accurate judgement to the driving standard in the pit of mine, in addition, the video monitoring in the pit of mine distributes extensively, large in quantity, monitoring time is long, current wisdom mine management and control system can't draw video monitoring content through the accident probability, lead to the control management inefficiency, accident discovery and accident rescue efficiency when taking place the incident are not high.
In view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a smart mine management and control system based on a big data platform, which is used for solving the problem that the conventional smart mine management and control system cannot accurately judge the underground driving standard of a mine;
the technical problems to be solved by the invention are as follows: how to provide a wisdom mine management and control system that can carry out accurate judgement to mine downhole driving standard.
The purpose of the invention can be realized by the following technical scheme:
an intelligent mine management and control system based on a big data platform comprises a mine management and control platform, wherein the mine management and control platform is in communication connection with a vehicle supervision module, a safety monitoring module, a rescue supervision module and a storage module;
the vehicle supervision module is used for carrying out operation supervision analysis on underground mine vehicles: the method comprises the steps of marking underground mine vehicles as supervision objects, carrying out speed-limiting marking on driving paths of the supervision objects to obtain a plurality of speed-limiting road sections and non-speed-limiting road sections, obtaining driving speeds of the supervision objects and marking the driving speeds as driving speed values, obtaining the non-speed-limiting threshold values through a storage module when the supervision objects drive on the non-speed-limiting road sections, comparing the driving speed values with the non-speed-limiting threshold values, and judging whether the driving speeds of the non-speed-limiting road sections meet requirements or not through comparison results; when the monitored object runs on the speed-limiting road section, the speed-limiting threshold value is obtained through the storage module, the running speed value is compared with the speed-limiting threshold value, and whether the running speed of the speed-limiting road section meets the requirement or not is judged through the comparison result;
the safety monitoring module is used for monitoring and analyzing the driving safety of the vehicle: the method comprises the steps that a sound sensor arranged on a monitored object is used for conducting whistle monitoring on the monitored object, when the monitored object conducts whistle, a monitored road section where the monitored object is located is marked as a whistle road section, a speed-limiting road section and the whistle road section in the monitored road section which is driven by the monitored object are compared, and whether the driving specification of the monitored object meets requirements or not is judged through a comparison result;
the rescue supervision module is used for monitoring and analyzing the underground mine rescue efficiency when a safety accident occurs.
As a preferred embodiment of the present invention, the process of speed limit marking the driving path of the supervised object includes: dividing a driving path of a monitored object into a plurality of monitored road sections, marking the monitored road sections including intersections, turns and slopes as static road sections, marking the monitored road sections except the static road sections as dynamic road sections, carrying out environment monitoring on the dynamic road sections to obtain an environment coefficient HJ of the dynamic road sections, obtaining an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax: if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the driving environment of the dynamic road section meets the requirement; and if the environment coefficient HJ is greater than or equal to the environment threshold HJmax, judging that the driving environment of the dynamic road section does not meet the requirement, marking the corresponding dynamic road section as a loop different road section, marking all the static road sections and the loop different road sections as speed-limiting road sections, and marking the supervision road sections except the speed-limiting road sections as non-speed-limiting road sections.
As a preferred embodiment of the present invention, the specific process of comparing the speed value with the non-speed limit threshold value includes: if the driving speed value is smaller than the non-speed-limiting threshold value, judging that the driving speed of the monitored object meets the requirement; otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the vehicle monitoring module;
the specific process of comparing the running speed value with the speed limit threshold value comprises the following steps: if the driving speed value is smaller than the speed limit threshold value, judging that the driving speed of the monitored object meets the requirement; otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the vehicle monitoring module.
As a preferred embodiment of the present invention, the process of obtaining the environmental coefficient HJ includes: acquiring smoke data YQ and dust data HC of the dynamic road section, wherein the acquiring process of the smoke data YQ and the dust data HC of the dynamic road section comprises the following steps: setting a plurality of monitoring points in the dynamic section, acquiring a carbon monoxide concentration value, a carbon dioxide concentration value and a sulfur dioxide concentration value of the monitoring points in the dynamic section, marking the average values of the carbon monoxide concentration value, the carbon dioxide concentration value and the sulfur dioxide concentration value of the monitoring points as flue gas concentration values of the monitoring points, summing the flue gas concentration values of all the monitoring points, averaging to obtain flue gas data YQ of the dynamic section, acquiring a dust concentration value of the monitoring points in the dynamic section, summing the dust concentration values of all the monitoring points, averaging to obtain dust data HC of the dynamic section, and carrying out numerical calculation on the flue gas data YQ and the dust data HC to obtain an environment coefficient HJ of the dynamic section.
As a preferred embodiment of the present invention, the specific process of comparing the speed-limit road section and the whistle road section in the supervision road section that the supervision object travels through includes: if the speed-limiting road section is completely overlapped with the whistling road section, judging that the driving safety of the monitored object meets the requirement; if a speed-limiting road section which is not overlapped with the whistling road section exists, judging that the driving standard of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the safety monitoring module; if the whistle road section which is not overlapped with the speed limit road section exists, the corresponding whistle road section is marked as an accident road section, a video recording of the supervision object passing through the time period of the accident road section is intercepted and sent to the mine management and control platform, and the mine management and control platform sends the video recording to a mobile phone terminal of a manager after receiving the video recording.
As a preferred embodiment of the present invention, the specific process of monitoring and analyzing the mine underground rescue efficiency by the rescue supervision module when a safety accident occurs includes: acquiring positioning data JW and material data WZ of the safety accident, and obtaining a rescue coefficient JY of the safety accident by carrying out numerical calculation on the positioning data JW and the material data WZ; the rescue threshold value JYmax is obtained through the storage module, and the rescue coefficient JY is compared with the rescue threshold value JYmax: if the rescue coefficient JY is smaller than the rescue threshold JYmax, judging that the rescue efficiency of the safety accident meets the requirement; if the rescue coefficient JY is greater than or equal to the rescue threshold JYmax, judging that the rescue efficiency of the safety accident does not meet the requirement, sending a rescue unqualified signal to the mine management and control platform by the rescue supervision module, and sending the rescue unqualified signal to a mobile phone terminal of a manager after the mine management and control platform receives the rescue unqualified signal.
As a preferred embodiment of the present invention, the process of acquiring the seating data JW and the material data WZ of the security incident includes: the method comprises the steps of marking the occurrence time of a safety accident as starting time, obtaining the time when a special electric locomotive, a pedestrian locomotive and a locomotive driver reach a bottom-hole yard after the safety accident occurs, marking the time as locomotive time, pedestrian vehicle time and driver time respectively, marking the difference values of the locomotive time, the pedestrian vehicle time and the driver time with the starting time as locomotive time, pedestrian vehicle time and driver time respectively, summing the locomotive time, the pedestrian vehicle time and the driver time, averaging the locomotive time, the pedestrian vehicle time and the driver time to obtain in-place data JW, and marking the difference value of the time when rescue goods arrive at a well mouth and the starting time as goods and materials data WZ.
As a preferred embodiment of the present invention, the working method of the intelligent mine management and control system based on the big data platform includes the following steps:
the method comprises the following steps: and (3) carrying out operation supervision analysis on underground mine vehicles: marking underground mine vehicles as supervision objects, carrying out speed limit marking on driving paths of the supervision objects to obtain a plurality of speed-limited road sections and non-speed-limited road sections, and respectively monitoring the driving speed of the supervision objects in the speed-limited road sections and the non-speed-limited road sections;
step two: monitoring and analyzing the driving safety of the vehicle: the method comprises the steps that a sound sensor arranged on a monitored object is used for conducting whistle monitoring on the monitored object, when the monitored object conducts whistle, a monitored road section where the monitored object is located is marked as a whistle road section, and a speed-limit road section in the monitored road section through which the monitored object runs is compared with the whistle road section;
step three: monitoring and analyzing the mine underground rescue efficiency when a safety accident occurs: acquiring the positioning data JW and the material data WZ of the safety accident, carrying out numerical calculation to obtain a rescue coefficient JY, and judging whether the rescue efficiency of the safety accident meets the requirement or not according to the numerical value of the rescue coefficient JY.
The invention has the following beneficial effects:
1. the mine underground vehicle operation monitoring analysis can be carried out through the vehicle monitoring module, the speed-limited road section and the non-speed-limited road section are marked through comprehensive analysis by combining an underground road condition structure and a driving environment, and the driving specifications of a monitored object are fed back by adopting different standards after marking is finished, so that the underground driving safety is improved, and the accident probability is reduced;
2. the safety monitoring module can be used for monitoring and analyzing the driving safety of the vehicle in combination with driving specifications, the accident occurrence probability is fed back through the whistle condition of a monitored object on a monitored road section, the underground driving sight is dark, the noise is high, therefore, the whistle early warning is carried out when a driver finds any obstacle in a driving path, after the vehicle drives, the driver can not clearly judge whether the obstacle is a worker or not and can not judge whether the two sides of the vehicle collide or not, when the whistle is carried out on a non-speed-limit road section, the monitoring video of a corresponding area of a corresponding time period is extracted, a manager checks the monitoring video and judges whether the safety accident occurs or not, and therefore, the early warning is carried out in time when the safety accident occurs;
3. the mine underground rescue efficiency can be monitored and analyzed through the rescue supervision module when a safety accident occurs, and the rescue coefficient is obtained through numerical calculation of the in-place time of each vehicle and the arrival time of goods and materials at the bottom of the well, so that whether the rescue efficiency is qualified or not is judged through the rescue coefficient, and the rescue efficiency of each department is supervised.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in figure 1, the intelligent mine management and control system based on the big data platform comprises a mine management and control platform, wherein the mine management and control platform is in communication connection with a vehicle supervision module, a safety monitoring module, a rescue supervision module and a storage module.
The vehicle supervision module is used for carrying out operation supervision analysis on underground mine vehicles: the method comprises the following steps of marking underground mine vehicles as supervision objects, carrying out speed-limiting marking on the driving paths of the supervision objects, obtaining a plurality of speed-limiting road sections and non-speed-limiting road sections, wherein the process of carrying out speed-limiting marking on the driving paths of the supervision objects comprises the following steps: dividing the driving path of the monitored object into a plurality of monitored road sections, marking the monitored road sections including intersections, turns and slopes as static road sections, marking the monitored road sections except the static road sections as dynamic road sections, and carrying out environment monitoring on the dynamic road sections: acquiring smoke data YQ and dust data HC of the dynamic road section, wherein the acquiring process of the smoke data YQ and the dust data HC of the dynamic road section comprises the following steps: setting a plurality of monitoring points in the dynamic section, acquiring a carbon monoxide concentration value, a carbon dioxide concentration value and a sulfur dioxide concentration value of the monitoring points in the dynamic section, marking the average values of the carbon monoxide concentration value, the carbon dioxide concentration value and the sulfur dioxide concentration value of the monitoring points as flue gas concentration values of the monitoring points, summing and averaging the flue gas concentration values of all the monitoring points to obtain flue gas data YQ of the dynamic section, acquiring dust concentration values of the monitoring points in the dynamic section, summing and averaging the dust concentration values of all the monitoring points to obtain dust data HC of the dynamic section, and obtaining an environmental coefficient HJ of the dynamic section through a formula HJ = alpha 1 x YQ + alpha 2 x HC, wherein the environmental coefficient is a numerical value reflecting the good degree of the driving environment of a monitoring object in the monitoring section, and the larger numerical value of the environmental coefficient indicates that the driving environment of the monitoring object in the monitoring section is worse; wherein α 1 and α 2 are both proportional coefficients, the environmental threshold HJmax is obtained through the storage module, and the environmental coefficient HJ is compared with the environmental threshold HJmax: if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the driving environment of the dynamic road section meets the requirement; if the environmental coefficient HJ is larger than or equal to the environmental threshold HJmax, judging that the driving environment of the dynamic road section does not meet the requirements, marking the corresponding dynamic road section as a loop abnormal road section, marking all static road sections and loop abnormal road sections as speed-limiting road sections, and marking the supervision road sections except the speed-limiting road sections as non-speed-limiting road sections; the driving speed of the monitored object is obtained and marked as a driving speed value, when the monitored object drives on a non-speed-limit road section, a non-speed-limit threshold value is obtained through a storage module, and the driving speed value is compared with the non-speed-limit threshold value: if the driving speed value is smaller than the non-speed-limiting threshold value, judging that the driving speed of the monitored object meets the requirement; otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the vehicle monitoring module; when the supervised object runs on the speed-limit road section, the speed-limit threshold is obtained through the storage module, and the running speed value is compared with the speed-limit threshold: if the driving speed value is smaller than the speed limit threshold value, judging that the driving speed of the monitored object meets the requirement; otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the vehicle monitoring module; the underground mine vehicle operation monitoring analysis is carried out, the speed-limited road section and the non-speed-limited road section are marked by combining the underground road condition structure and the driving environment for comprehensive analysis, and the driving specifications of the monitored objects are fed back by adopting different standards after the marking is finished, so that the underground driving safety is improved, and the accident probability is reduced.
The safety monitoring module is used for monitoring and analyzing the driving safety of the vehicle: monitoring the monitored object by whistling through a sound sensor arranged on the monitored object, marking the current monitored road section where the monitored object is located as a whistling road section when the monitored object whistles, and comparing the speed-limiting road section in the monitored road section where the monitored object runs with the whistling road section: if the speed-limiting road section is completely overlapped with the whistling road section, judging that the driving safety of the monitored object meets the requirement; if a speed-limiting road section which is not overlapped with the whistling road section exists, judging that the driving standard of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the safety monitoring module; if a whistle road section which is not overlapped with the speed-limiting road section exists, marking the corresponding whistle road section as an accident road section, intercepting a video recording of a supervision object passing through the time period of the accident road section and sending the video recording to a mine management and control platform, and sending the video recording to a mobile phone terminal of a manager after the mine management and control platform receives the video recording; monitoring analysis is carried out to vehicle driving safety in combination with driving standard, carry out the feedback to accident occurrence probability through the condition of whistling on the supervision highway section of supervision object, because driving sight is darker in the pit, the noise is great, consequently, discover at the driver in the driving route any barrier and can all carry out the early warning of whistling, and after the vehicle has gone by, the driver can not clearly judge whether the barrier is the staff, also can not judge whether bump takes place to the vehicle both sides, when whistling in the non-speed limit highway section, the control video that corresponds the period of time corresponding region is drawed, whether the incident appears is judged by managers inspection control video, thereby in time carry out the early warning when the incident appears.
The rescue supervision module is used for monitoring and analyzing the mine underground rescue efficiency when a safety accident occurs: acquiring the positioning data JW and the material data WZ of the safety accident, wherein the acquiring process of the positioning data JW and the material data WZ of the safety accident comprises the following steps: marking the occurrence time of the safety accident as starting time, obtaining the time of the special electric locomotive, the pedestrian locomotive and the locomotive driver reaching a bottom-hole yard after the safety accident occurs, and respectively marking as locomotive time, pedestrian vehicle time and driver time, respectively marking the difference values of the locomotive time, the pedestrian vehicle time and the driver time as locomotive time, pedestrian vehicle time and driver time, summing the locomotive time, the pedestrian vehicle time and the driver time, and averaging to obtain in-position data JW, marking the difference value of the time of the rescue material reaching a wellhead and the starting time as material data WZ, and obtaining a rescue coefficient JY of the safety accident through a formula JY = beta 1 JW + alpha 2 WZ, wherein alpha 1 and alpha 2 are proportional coefficients, and alpha 1 is more than alpha 2 and more than 1; the rescue threshold value JYmax is obtained through the storage module, and the rescue coefficient JY is compared with the rescue threshold value JYmax: if the rescue coefficient JY is smaller than the rescue threshold JYmax, judging that the rescue efficiency of the safety accident meets the requirement; if the rescue coefficient JY is greater than or equal to the rescue threshold JYmax, judging that the rescue efficiency of the safety accident does not meet the requirement, sending a rescue unqualified signal to the mine management and control platform by the rescue supervision module, and sending the rescue unqualified signal to a mobile phone terminal of a manager after the mine management and control platform receives the rescue unqualified signal; the underground mine rescue efficiency is monitored and analyzed when a safety accident occurs, and the rescue coefficient is obtained by carrying out numerical calculation on the in-place time of each vehicle and the arrival time of goods and materials at the bottom of the well, so that whether the rescue efficiency is qualified or not is judged through the rescue coefficient, and the rescue efficiency of each department is supervised.
Example two
As shown in fig. 2, a smart mine management and control method based on a big data platform includes the following steps:
the method comprises the following steps: and (3) carrying out operation supervision analysis on underground mine vehicles: the method comprises the steps of marking underground mine vehicles as monitoring objects, carrying out speed-limiting marking on driving paths of the monitoring objects to obtain a plurality of speed-limiting road sections and non-speed-limiting road sections, and carrying out driving speed monitoring on the monitoring objects in the speed-limiting road sections and the non-speed-limiting road sections respectively, so that the underground driving safety is improved, and the accident probability is reduced;
step two: monitoring and analyzing the driving safety of the vehicle: the method comprises the steps that a sound sensor arranged on a monitored object is used for conducting whistle monitoring on the monitored object, when the monitored object conducts whistle, a monitored road section where the monitored object is located is marked as a whistle road section, a speed-limit road section and the whistle road section in the monitored road section through which the monitored object runs are compared, when the monitored road section is not subjected to whistle, a monitoring video of a region corresponding to a corresponding time period is extracted, and a manager checks the monitoring video and judges whether safety accidents occur or not;
step three: monitoring and analyzing the mine underground rescue efficiency when a safety accident occurs: acquiring in-place data JW and material data WZ of the safety accident, carrying out numerical calculation to obtain a rescue coefficient JY, and judging whether the rescue efficiency of the safety accident meets the requirements or not according to the numerical value of the rescue coefficient JY, thereby supervising the rescue efficiency of each department.
The utility model provides a wisdom mine management and control system based on big data platform, the during operation carries out operation supervision analysis to mine vehicle in the pit: marking underground mine vehicles as supervision objects, carrying out speed limit marking on driving paths of the supervision objects to obtain a plurality of speed-limited road sections and non-speed-limited road sections, and respectively monitoring the driving speed of the supervision objects in the speed-limited road sections and the non-speed-limited road sections; monitoring and analyzing the vehicle driving safety: the method comprises the steps of conducting whistle monitoring on a supervision object through a sound sensor arranged on the supervision object, marking a current supervision road section where the supervision object is located as a whistle road section when the supervision object whistles, comparing a speed limit road section and the whistle road section in the supervision road section where the supervision object runs through, and extracting a monitoring video through a comparison result.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula HJ = α 1 × yq + α 2 × hc; collecting multiple groups of sample data and setting corresponding environment coefficients for each group of sample data by a person skilled in the art; substituting the set environmental coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are 4.48 and 3.15 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the environmental coefficient preliminarily set by a person skilled in the art for each group of sample data; the proportional relation between the parameters and the quantized numerical values is not affected, for example, the environmental coefficient is in direct proportion to the numerical value of the smoke data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An intelligent mine management and control system based on a big data platform comprises the mine management and control platform and is characterized in that the mine management and control platform is in communication connection with a vehicle supervision module, a safety monitoring module, a rescue supervision module and a storage module;
the vehicle supervision module is used for carrying out operation supervision analysis on underground mine vehicles: the method comprises the steps of marking underground mine vehicles as supervision objects, carrying out speed-limiting marking on driving paths of the supervision objects to obtain a plurality of speed-limiting road sections and non-speed-limiting road sections, obtaining driving speeds of the supervision objects and marking the driving speeds as driving speed values, obtaining the non-speed-limiting threshold values through a storage module when the supervision objects drive on the non-speed-limiting road sections, comparing the driving speed values with the non-speed-limiting threshold values, and judging whether the driving speeds of the non-speed-limiting road sections meet requirements or not through comparison results; when the supervised object runs on the speed-limit road section, the speed-limit threshold value is obtained through the storage module, the running speed value is compared with the speed-limit threshold value, and whether the running speed of the speed-limit road section meets the requirement or not is judged through the comparison result;
the safety monitoring module is used for monitoring and analyzing the driving safety of the vehicle: the method comprises the steps that a sound sensor arranged on a monitored object is used for conducting whistle monitoring on the monitored object, when the monitored object conducts whistle, a monitored road section where the monitored object is located is marked as a whistle road section, a speed-limit road section and the whistle road section in the monitored road section through which the monitored object runs are compared, and whether the driving specification of the monitored object meets requirements or not is judged according to a comparison result;
the rescue supervision module is used for monitoring and analyzing the underground mine rescue efficiency when a safety accident occurs.
2. The intelligent mine management and control system based on the big data platform according to claim 1, wherein the process of speed limit marking of the driving path of the supervision object comprises the following steps: dividing a driving path of a monitored object into a plurality of monitored road sections, marking the monitored road sections including intersections, turns and slopes as static road sections, marking the monitored road sections except the static road sections as dynamic road sections, carrying out environment monitoring on the dynamic road sections to obtain an environment coefficient HJ of the dynamic road sections, obtaining an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax: if the environmental coefficient HJ is smaller than the environmental threshold HJmax, judging that the driving environment of the dynamic road section meets the requirement; and if the environment coefficient HJ is greater than or equal to the environment threshold HJmax, judging that the driving environment of the dynamic road section does not meet the requirement, marking the corresponding dynamic road section as a loop different road section, marking all the static road sections and the loop different road sections as speed-limiting road sections, and marking the supervision road sections except the speed-limiting road sections as non-speed-limiting road sections.
3. The intelligent mine management and control system based on the big data platform as claimed in claim 1, wherein the specific process of comparing the traveling speed value with the non-speed limit threshold value comprises: if the driving speed value is smaller than the non-speed-limiting threshold value, judging that the driving speed of the monitored object meets the requirement; otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving non-standard signal to the mine management and control platform by the vehicle monitoring module;
the specific process of comparing the running speed value with the speed limit threshold value comprises the following steps: if the driving speed value is smaller than the speed limit threshold value, judging that the driving speed of the monitored object meets the requirement; and otherwise, judging that the driving speed of the monitored object does not meet the requirement, and sending a driving nonstandard signal to the mine management and control platform by the vehicle monitoring module.
4. The intelligent mine management and control system based on the big data platform as claimed in claim 2, wherein the obtaining process of the environmental coefficient HJ comprises: acquiring smoke data YQ and dust data HC of the dynamic road section, wherein the acquiring process of the smoke data YQ and the dust data HC of the dynamic road section comprises the following steps: the method comprises the steps of setting a plurality of monitoring points in a dynamic section, obtaining a carbon monoxide concentration value, a carbon dioxide concentration value and a sulfur dioxide concentration value of the monitoring points in the dynamic section, marking the average values of the carbon monoxide concentration value, the carbon dioxide concentration value and the sulfur dioxide concentration value of the monitoring points as smoke concentration values of the monitoring points, summing and averaging the smoke concentration values of all the monitoring points to obtain smoke data YQ of the dynamic section, obtaining dust concentration values of the monitoring points in the dynamic section, summing and averaging the dust concentration values of all the monitoring points to obtain dust data HC of the dynamic section, and carrying out numerical calculation on the smoke data YQ and the dust data HC to obtain an environment coefficient HJ of the dynamic section.
5. The intelligent mine management and control system based on the big data platform according to claim 1, wherein the specific process of comparing the speed limit road section and the whistle road section in the supervision road section that the supervision object travels through comprises: if the speed-limiting road section is completely overlapped with the whistling road section, judging that the driving safety of the monitored object meets the requirement; if a speed-limiting road section which is not overlapped with the whistling road section exists, judging that the driving specification of the monitored object does not meet the requirement, and sending a driving non-specification signal to the mine management and control platform by the safety monitoring module; if the whistle road section which is not overlapped with the speed limit road section exists, the corresponding whistle road section is marked as an accident road section, a video recording of the supervision object passing through the time period of the accident road section is intercepted and sent to the mine management and control platform, and the mine management and control platform sends the video recording to a mobile phone terminal of a manager after receiving the video recording.
6. The intelligent mine management and control system based on the big data platform according to claim 1, wherein the specific process of monitoring and analyzing the mine underground rescue efficiency when a safety accident occurs by the rescue supervision module comprises: acquiring in-place data JW and material data WZ of the safety accident, and obtaining a rescue coefficient JY of the safety accident by carrying out numerical calculation on the in-place data JW and the material data WZ; the rescue threshold value JYmax is obtained through the storage module, and the rescue coefficient JY is compared with the rescue threshold value JYmax: if the rescue coefficient JY is smaller than the rescue threshold JYmax, judging that the rescue efficiency of the safety accident meets the requirement; if the rescue coefficient JY is greater than or equal to the rescue threshold JYmax, judging that the rescue efficiency of the safety accident does not meet the requirement, sending a rescue unqualified signal to the mine management and control platform by the rescue supervision module, and sending the rescue unqualified signal to a mobile phone terminal of a manager after the mine management and control platform receives the rescue unqualified signal.
7. The intelligent mine management and control system based on the big data platform as claimed in claim 6, wherein the process of acquiring the positioning data JW and the material data WZ of the safety accident comprises: the method comprises the steps of marking the occurrence time of a safety accident as starting time, obtaining the time when a special electric locomotive, a pedestrian locomotive and a locomotive driver reach a bottom-hole yard after the safety accident occurs, marking the time as locomotive time, pedestrian vehicle time and driver time respectively, marking the difference values of the locomotive time, the pedestrian vehicle time and the driver time with the starting time as locomotive time, pedestrian vehicle time and driver time respectively, summing the locomotive time, the pedestrian vehicle time and the driver time, averaging the locomotive time, the pedestrian vehicle time and the driver time to obtain in-place data JW, and marking the difference value of the time when rescue goods arrive at a well mouth and the starting time as goods and materials data WZ.
8. The intelligent mine management and control system based on the big data platform as claimed in any one of claims 1-7, wherein the working method of the intelligent mine management and control system based on the big data platform comprises the following steps:
the method comprises the following steps: and (3) carrying out operation supervision analysis on underground mine vehicles: marking underground mine vehicles as monitoring objects, carrying out speed-limiting marking on driving paths of the monitoring objects to obtain a plurality of speed-limiting road sections and non-speed-limiting road sections, and respectively monitoring the driving speed of the monitoring objects in the speed-limiting road sections and the non-speed-limiting road sections;
step two: monitoring and analyzing the driving safety of the vehicle: the method comprises the steps that a sound sensor arranged on a monitored object is used for conducting whistle monitoring on the monitored object, when the monitored object conducts whistle, a monitored road section where the monitored object is located is marked as a whistle road section, and a speed-limit road section in the monitored road section through which the monitored object runs is compared with the whistle road section;
step three: monitoring and analyzing the mine underground rescue efficiency when a safety accident occurs: acquiring the positioning data JW and the material data WZ of the safety accident, carrying out numerical calculation to obtain a rescue coefficient JY, and judging whether the rescue efficiency of the safety accident meets the requirement or not according to the numerical value of the rescue coefficient JY.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116610117A (en) * | 2023-04-28 | 2023-08-18 | 天宇正清科技有限公司 | Underground driving speed control method and device, electronic equipment and storage medium |
| CN117560473A (en) * | 2024-01-12 | 2024-02-13 | 北京瞭望神州科技有限公司 | Natural resource mine supervision scene-based video data processing method and device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116610117A (en) * | 2023-04-28 | 2023-08-18 | 天宇正清科技有限公司 | Underground driving speed control method and device, electronic equipment and storage medium |
| CN117560473A (en) * | 2024-01-12 | 2024-02-13 | 北京瞭望神州科技有限公司 | Natural resource mine supervision scene-based video data processing method and device |
| CN117560473B (en) * | 2024-01-12 | 2024-03-19 | 北京瞭望神州科技有限公司 | Natural resource mine supervision scene-based video data processing method and device |
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