CN112991677A - Safety monitoring system and method for field geological exploration - Google Patents
Safety monitoring system and method for field geological exploration Download PDFInfo
- Publication number
- CN112991677A CN112991677A CN202110168162.6A CN202110168162A CN112991677A CN 112991677 A CN112991677 A CN 112991677A CN 202110168162 A CN202110168162 A CN 202110168162A CN 112991677 A CN112991677 A CN 112991677A
- Authority
- CN
- China
- Prior art keywords
- geological
- module
- sending
- early warning
- derivative
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
- G08B21/0208—Combination with audio or video communication, e.g. combination with "baby phone" function
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0261—System arrangements wherein the object is to detect trespassing over a fixed physical boundary, e.g. the end of a garden
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/028—Communication between parent and child units via remote transmission means, e.g. satellite network
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Child & Adolescent Psychology (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Library & Information Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- Remote Sensing (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a system and a method for monitoring the safety of field geological exploration, which relate to the technical field of safety monitoring and solve the technical problems that the position of an exploration worker is not accurately monitored in the prior scheme and the exploration worker cannot be quickly positioned and searched when in danger; the invention is provided with the communication diagnosis module which is used for detecting the communication state of the position data acquisition unit before the geological exploration is carried out by an exploration worker, thereby laying a foundation for the normal acquisition of the position data of the exploration worker; the invention is provided with a geological early warning module which evaluates the danger degree of a survey area according to environmental data and a satellite image, provides reference basis for survey personnel and provides guarantee for the safety of the survey personnel; the safety early warning module is arranged, the area where the exploration personnel are located can be rapidly judged, the search efficiency of the exploration personnel is improved, and further guarantee is provided for the life safety of the exploration personnel.
Description
Technical Field
The invention belongs to the technical field of safety monitoring, and particularly relates to a system and a method for monitoring field geological exploration safety.
Background
The field geological exploration operation is the basic work of geological workers, the field geological exploration is mostly in the wild and other hard-environment areas, and many unpredictable potential safety hazards exist, such as remote mountainous areas, border areas and high-altitude areas, which have bad climate, crude conditions and unsmooth communication, and natural disasters such as earthquakes, landslides, debris flows, large wild animals and the like can often occur; the severe natural conditions bring great inconvenience to geological exploration, huge potential safety hazards exist, and after an accident occurs, because the specific position of a trapped person cannot be determined and contact cannot be established, timely and effective emergency rescue cannot be implemented easily.
The invention patent with publication number CN107271032A discloses a system and a method for monitoring field geological exploration safety, wherein the system comprises: a vibration detector for detecting vibration by generating electric charge by compressing minerals, and a physiotherapy housing for performing quantitative physiotherapy on a human body by detecting the amount of the electric charge; the method comprises the following steps: the vibration detector generates electric charges by compressing minerals to detect vibration, and the physiotherapy jacket carries out quantitative physiotherapy on a human body by detecting the amount of the electric charges.
The scheme is based on the Beidou satellite navigation system, communication with the remote terminal is realized, the specific coordinates of the distress position are sent, and the distress position is alarmed for help, so that the comfort level of geologists can be improved, and the harm of high-intensity work to body health is relieved; however, the scheme does not consider that the specific coordinates of the distress position may not be sent out when the distress is really in distress, so that the rescue is not timely; therefore, the above solution still needs further improvement.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a system and a method for monitoring the safety of field geological exploration.
The purpose of the invention can be realized by the following technical scheme: a field geological exploration safety monitoring system comprises a processor, a communication diagnosis module, a data acquisition module, a geological early warning module, a safety early warning module, a comprehensive management module and a data storage module;
the data acquisition module comprises a geographic data acquisition unit and a position data acquisition unit; the geographic data acquisition unit is used for acquiring environmental data and a satellite image and sending the environmental data and the satellite image to the geological early warning module; the position data acquisition unit is used for acquiring the positions of the surveyors and sending the positions of the surveyors to the safety early warning module;
the safety precaution module is used for monitoring investigation personnel's position, includes:
when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position;
dividing a circular area by taking the real-time position as a circle center and taking the distance between at least two communication base stations and the real-time position as a radius, and respectively marking the circular area as a first circular area and a second circular area;
generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; the personnel position display graph displays a first circular area and a second circular area in real time; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;
when the real-time position is not received within the preset time, determining that the surveyor is in danger; the preset time is obtained through simulation of a large amount of data;
marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module;
sending the personnel position display diagram to the comprehensive management module; and sending the personnel position display picture to a data storage module through a processor for encrypted storage.
Preferably, the comprehensive management module is used for displaying a personnel position display diagram; the comprehensive management module is also used for scheduling search and rescue personnel.
Preferably, the geological early warning module is used for analyzing the geological state of the investigation region, and comprises:
after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained;
after data planning is carried out on the environment data, the environment data are input into an environment evaluation model to obtain an output result and are marked as SJ; the output result is an environment early warning label corresponding to the environment data;
the geological early warning module receives the satellite image, simultaneously imports a vector file of an investigation region, cuts the satellite image through ArcGIS, preprocesses the image and marks the image as a primary screen image;
identifying the total number L of bare land pixels, the total number Z of vegetation pixels, the total number P of lake pixels and the total number T of image pixels in the primary screening image by a pattern identification technology;
by the formula
Acquiring a terrain evaluation coefficient D of an investigation region; wherein epsilon, epsilon and theta are proportionality coefficients, and epsilon, epsilon and theta are real numbers which are all larger than 0;
by the formula
Acquiring a geological state evaluation coefficient DZ; wherein α 1 is a proportionality coefficient, and α 1 is a real number greater than 0;
when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
and respectively sending the output result, the terrain evaluation coefficient and the geological state evaluation coefficient to a data storage module and a comprehensive management module through a processor.
Preferably, the specific acquiring step of the environment assessment model includes:
acquiring environmental historical data of an investigation region through a data storage module; the environmental historical data is environmental data of a survey area over years;
setting an environment early warning label for the investigation region according to the environment historical data; the value of the environment early warning label is 0 and 1, when the value of the environment early warning label is 0, the environment danger of the investigation region is represented, and when the value of the environment early warning label is 1, the environment of the investigation region is represented to be normal;
constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network;
after the environmental historical data and the corresponding environmental early warning labels are subjected to data normalization, dividing the environmental historical data and the corresponding environmental early warning labels into a training set, a test set and a check set according to a set proportion; the set ratio comprises 4:1, 3:2 and 5: 3;
training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as an environment evaluation model;
and sending the environment evaluation model to a data storage module through the processor for encrypted storage.
Preferably, the communication diagnosis module is used for diagnosing the communication state of the position data acquisition unit; the step of diagnosing the communication state of the position data acquisition unit specifically includes:
before geological exploration is carried out by an exploration worker, a first state signal is sent to a communication base station through a signal transceiver arranged in a position data acquisition unit according to a set period, and a second state signal is sent to the signal transceiver arranged in the position data acquisition unit immediately when the communication base station receives the first state signal; the set period includes one second, one minute, and one quarter hour;
when the signal processor receives the second state signal, acquiring a time difference value between the sending time of the first state signal and the sending time of the second state signal; the time obtained by the time difference is taken as an independent variable, the time difference is taken as a dependent variable, and a time difference change curve is established through an N-order polynomial fitting method; wherein N is more than or equal to 2;
acquiring a derivative function of a time difference change curve;
after removing the first independent variable and the last independent variable, any independent variable is taken and marked as a first independent variable, the independent variable before the first independent variable is marked as a second independent variable, and the independent variable after the first independent variable is marked as a third independent variable;
respectively importing the first independent variable, the second independent variable and the third independent variable into a derivative function to obtain derivative values, marking the derivative values as a first derivative value, a second derivative value and a third derivative value after obtaining absolute values of the derivative values, obtaining mean values of the first derivative value, the second derivative value and the third derivative value and marking the mean values as derivative mean values DJZ;
when the derivative mean value DJZ meets YDJZ-mu and DJZ + mu, judging that the communication of the position data acquisition unit is normal; otherwise, judging that the communication of the position data acquisition unit is abnormal, and generating and sending a communication abnormal signal to the comprehensive management module; YDJZ is a derivative mean threshold value, YDJZ is obtained through simulation of a large amount of data, mu is a proportionality coefficient, and mu is a real number larger than 0;
and respectively sending the time difference value change curves to the comprehensive management module and the data storage module through the processor.
Preferably, the environmental data includes a temperature value, a humidity value, a wind force value, an air pressure value and rainfall; the position data acquisition unit is attached to the body of an exploration worker; the geographic data acquisition unit and the position data acquisition unit are both provided with signal transceivers; and the signal transceiver stops sending signals when vital sign parameters of the surveyor are abnormal, wherein the vital sign parameters comprise body temperature and heartbeat.
Preferably, the processor is respectively in communication connection with the communication diagnosis module, the data acquisition module, the geological early warning module, the safety early warning module, the comprehensive management module and the data storage module; the comprehensive management module is respectively in communication connection with the data storage module and the safety early warning module, the data acquisition module is respectively in communication connection with the communication diagnosis module and the geological early warning module, and the safety early warning module is in communication connection with the geological early warning module.
Preferably, the working method of the field geological exploration safety monitoring system comprises the following steps:
the method comprises the following steps: before geological exploration is carried out by an exploration worker, a time difference change curve is established through an N-order polynomial fitting method; acquiring a derivative function of a time difference change curve; obtaining the mean value of the first derivative value, the second derivative value and the third derivative value according to the derivative function and marking the mean value as a derivative mean value; judging the communication state of the position data acquisition unit according to the derivative mean value;
step two: after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained; acquiring a geological state evaluation coefficient DZ; when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
step three: when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position; acquiring a first circular area and a second circular area according to the real-time position; generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; when the real-time position is not received within the preset time, determining that the surveyor is in danger; marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module; and sending the personnel position display diagram to the comprehensive management module.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is provided with a communication diagnosis module, which is used for diagnosing the communication state of the position data acquisition unit; the communication diagnosis module detects the communication state of the position data acquisition unit before the geological exploration of the exploration personnel, and lays a foundation for the normal acquisition of the position data of the exploration personnel;
2. the invention is provided with a geological early warning module, which is used for analyzing the geological state of an investigation region; the geological early warning module evaluates the danger degree of a survey area according to the environmental data and the satellite image, provides a reference basis for survey personnel and guarantees the safety of the survey personnel;
3. the invention is provided with a safety early warning module, which is used for monitoring the position of an exploration worker; the safety precaution module acquires the real-time position of the investigation personnel through at least two communication base stations, generates personnel position display pictures, can quickly judge the area where the investigation personnel are located when the investigation personnel run into danger, helps to improve the search efficiency of the investigation personnel, and provides further guarantee for the life safety of the investigation personnel.
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 schematic diagram of the principle 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.
Referring to fig. 1, a safety monitoring system for field geological exploration comprises a processor, a communication diagnosis module, a data acquisition module, a geological early warning module, a safety early warning module, a comprehensive management module and a data storage module;
the data acquisition module comprises a geographic data acquisition unit and a position data acquisition unit; the geological data acquisition unit is used for acquiring environmental data and a satellite image and sending the environmental data and the satellite image to the geological early warning module; the position data acquisition unit is used for acquiring the positions of the surveyors and sending the positions of the surveyors to the safety early warning module;
the safety precaution module is used for monitoring investigation personnel's position, includes:
when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position;
dividing a circular area by taking the real-time position as a circle center and taking the distance between at least two communication base stations and the real-time position as a radius, and respectively marking the circular area as a first circular area and a second circular area;
generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; the personnel position display graph displays a first circular area and a second circular area in real time; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;
when the real-time position is not received within the preset time, determining that the surveyor is in danger; the preset time is obtained through simulation of a large amount of data;
marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module;
sending the personnel position display diagram to the comprehensive management module; and sending the personnel position display picture to a data storage module through a processor for encrypted storage.
Further, the comprehensive management module is used for displaying the personnel position display diagram; the comprehensive management module is also used for scheduling search and rescue personnel.
Further, the geological early warning module is used for analyzing the geological state of the investigation region, and comprises the following steps:
after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained;
after data planning is carried out on the environment data, the environment data are input into an environment evaluation model to obtain an output result and are marked as SJ; the output result is an environment early warning label corresponding to the environment data;
the geological early warning module receives the satellite image, simultaneously imports a vector file of an investigation region, cuts the satellite image through ArcGIS, preprocesses the image and marks the image as a primary screen image;
identifying the total number L of bare land pixels, the total number Z of vegetation pixels, the total number P of lake pixels and the total number T of image pixels in the primary screening image by a pattern identification technology;
by the formula
Acquiring a terrain evaluation coefficient D of an investigation region; wherein epsilon, epsilon and theta are proportionality coefficients, and epsilon, epsilon and theta are real numbers which are all larger than 0;
by the formula
Acquiring a geological state evaluation coefficient DZ; wherein α 1 is a proportionality coefficient, and α 1 is a real number greater than 0;
when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
and respectively sending the output result, the terrain evaluation coefficient and the geological state evaluation coefficient to a data storage module and a comprehensive management module through a processor.
Further, the specific acquiring step of the environment evaluation model comprises:
acquiring environmental historical data of an investigation region through a data storage module; the environmental historical data is environmental data of a survey area over years;
setting an environment early warning label for the investigation region according to the environment historical data; the value of the environment early warning label is 0 and 1, when the value of the environment early warning label is 0, the environment danger of the investigation region is represented, and when the value of the environment early warning label is 1, the environment of the investigation region is represented to be normal;
constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network;
after the environmental historical data and the corresponding environmental early warning labels are subjected to data normalization, dividing the environmental historical data and the corresponding environmental early warning labels into a training set, a test set and a check set according to a set proportion; the set ratios include 4:1, 3:2, and 5: 3;
training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as an environment evaluation model;
and sending the environment evaluation model to a data storage module through the processor for encrypted storage.
Further, the communication diagnosis module is used for diagnosing the communication state of the position data acquisition unit; the step of diagnosing the communication state of the position data acquisition unit specifically includes:
before geological exploration is carried out by an exploration worker, a first state signal is sent to a communication base station through a signal transceiver arranged in a position data acquisition unit according to a set period, and a second state signal is sent to the signal transceiver arranged in the position data acquisition unit immediately when the communication base station receives the first state signal; the set period includes one second, one minute, and one quarter hour;
when the signal processor receives the second state signal, acquiring a time difference value between the sending time of the first state signal and the sending time of the second state signal; the time obtained by the time difference is taken as an independent variable, the time difference is taken as a dependent variable, and a time difference change curve is established through an N-order polynomial fitting method; wherein N is more than or equal to 2;
acquiring a derivative function of a time difference change curve;
after removing the first independent variable and the last independent variable, any independent variable is taken and marked as a first independent variable, the independent variable before the first independent variable is marked as a second independent variable, and the independent variable after the first independent variable is marked as a third independent variable;
respectively importing the first independent variable, the second independent variable and the third independent variable into a derivative function to obtain derivative values, marking the derivative values as a first derivative value, a second derivative value and a third derivative value after obtaining absolute values of the derivative values, obtaining mean values of the first derivative value, the second derivative value and the third derivative value and marking the mean values as derivative mean values DJZ;
when the derivative mean value DJZ meets YDJZ-mu and DJZ + mu, judging that the communication of the position data acquisition unit is normal; otherwise, judging that the communication of the position data acquisition unit is abnormal, and generating and sending a communication abnormal signal to the comprehensive management module; YDJZ is a derivative mean threshold value, YDJZ is obtained through simulation of a large amount of data, mu is a proportionality coefficient, and mu is a real number larger than 0;
and respectively sending the time difference value change curves to the comprehensive management module and the data storage module through the processor.
Further, the environmental data comprises a temperature value, a humidity value, a wind force value, an air pressure value and rainfall; the position data acquisition unit is attached to the body of an exploration worker; the geographic data acquisition unit and the position data acquisition unit are both provided with signal transceivers.
Further, the processor is respectively in communication connection with the communication diagnosis module, the data acquisition module, the geological early warning module, the safety early warning module, the comprehensive management module and the data storage module; the comprehensive management module is respectively in communication connection with the data storage module and the safety early warning module, the data acquisition module is respectively in communication connection with the communication diagnosis module and the geological early warning module, and the safety early warning module is in communication connection with the geological early warning module.
Further, the working method of the field geological exploration safety monitoring system comprises the following steps:
the method comprises the following steps: before geological exploration is carried out by an exploration worker, a time difference change curve is established through an N-order polynomial fitting method; acquiring a derivative function of a time difference change curve; obtaining the mean value of the first derivative value, the second derivative value and the third derivative value according to the derivative function and marking the mean value as a derivative mean value; judging the communication state of the position data acquisition unit according to the derivative mean value;
step two: after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained; acquiring a geological state evaluation coefficient DZ; when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
step three: when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position; acquiring a first circular area and a second circular area according to the real-time position; generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; when the real-time position is not received within the preset time, determining that the surveyor is in danger; marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module; and sending the personnel position display diagram to the comprehensive management module.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
before geological exploration is carried out by an exploration worker, a first state signal is sent to a communication base station through a signal transceiver arranged in a position data acquisition unit according to a set period, and a second state signal is sent to the signal transceiver arranged in the position data acquisition unit immediately when the communication base station receives the first state signal; when the signal processor receives the second state signal, acquiring a time difference value between the sending time of the first state signal and the sending time of the second state signal; the time obtained by the time difference is taken as an independent variable, the time difference is taken as a dependent variable, and a time difference change curve is established through an N-order polynomial fitting method; acquiring a derivative function of a time difference change curve; after removing the first independent variable and the last independent variable, any independent variable is taken and marked as a first independent variable, the independent variable before the first independent variable is marked as a second independent variable, and the independent variable after the first independent variable is marked as a third independent variable; respectively importing the first independent variable, the second independent variable and the third independent variable into a derivative function to obtain derivative values, marking the derivative values as a first derivative value, a second derivative value and a third derivative value after obtaining absolute values of the derivative values, obtaining mean values of the first derivative value, the second derivative value and the third derivative value and marking the mean values as derivative mean values DJZ; when the derivative mean value DJZ meets YDJZ-mu and DJZ + mu, judging that the communication of the position data acquisition unit is normal; otherwise, judging that the communication of the position data acquisition unit is abnormal, and generating and sending a communication abnormal signal to the comprehensive management module;
after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained; after data planning is carried out on the environment data, the environment data are input into an environment evaluation model to obtain an output result and are marked as SJ; the geological early warning module receives the satellite image, simultaneously imports a vector file of an investigation region, cuts the satellite image through ArcGIS, preprocesses the image and marks the image as a primary screen image; identifying the total number L of bare land pixels, the total number Z of vegetation pixels, the total number P of lake pixels and the total number T of image pixels in the primary screening image by a pattern identification technology; acquiring a terrain evaluation coefficient D and a geological state evaluation coefficient DZ of an investigation region; when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position; dividing a circular area by taking the real-time position as a circle center and taking the distance between at least two communication base stations and the real-time position as a radius, and respectively marking the circular area as a first circular area and a second circular area; generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; when the real-time position is not received within the preset time, determining that the surveyor is in danger; marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module; sending the personnel position display diagram to the comprehensive management module; and sending the personnel position display picture to a data storage module through a processor for encrypted storage.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 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.
Claims (6)
1. A field geological exploration safety monitoring system is characterized by comprising a processor, a communication diagnosis module, a data acquisition module, a geological early warning module, a safety early warning module, a comprehensive management module and a data storage module;
the data acquisition module comprises a geographic data acquisition unit and a position data acquisition unit; the geographic data acquisition unit is used for acquiring environmental data and a satellite image and sending the environmental data and the satellite image to the geological early warning module; the position data acquisition unit is used for acquiring the positions of the surveyors and sending the positions of the surveyors to the safety early warning module;
the safety precaution module is used for monitoring investigation personnel's position, includes:
when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position;
dividing a circular area by taking the real-time position as a circle center and taking the distance between at least two communication base stations and the real-time position as a radius, and respectively marking the circular area as a first circular area and a second circular area;
generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; the personnel position display graph displays a first circular area and a second circular area in real time; the third-party map platform comprises a Baidu map, an Tencent map and a Gagde map;
when the real-time position is not received within the preset time, determining that the surveyor is in danger; the preset time is obtained through simulation of a large amount of data;
marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module;
sending the personnel position display diagram to the comprehensive management module; and sending the personnel position display picture to a data storage module through a processor for encrypted storage.
2. The field geological survey safety monitoring system of claim 1, wherein the geological early warning module is configured to analyze the geological state of the survey area, and comprises:
after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained;
after data planning is carried out on the environment data, the environment data are input into an environment evaluation model to obtain an output result and are marked as SJ; the output result is an environment early warning label corresponding to the environment data;
the geological early warning module receives the satellite image, simultaneously imports a vector file of an investigation region, cuts the satellite image through ArcGIS, preprocesses the image and marks the image as a primary screen image;
identifying the total number L of bare land pixels, the total number Z of vegetation pixels, the total number P of lake pixels and the total number T of image pixels in the primary screening image by a pattern identification technology;
by the formula
Acquiring a terrain evaluation coefficient D of an investigation region; wherein epsilon, epsilon and theta are proportionality coefficients, and epsilon, epsilon and theta are real numbers which are all larger than 0;
by the formula
Acquiring a geological state evaluation coefficient DZ; wherein α 1 is a proportionality coefficient, and α 1 is a real number greater than 0;
when the geological state evaluation coefficient DZ satisfies 0 and DZ < L1, determining the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
and respectively sending the output result, the terrain evaluation coefficient and the geological state evaluation coefficient to a data storage module and a comprehensive management module through a processor.
3. The field geological survey safety monitoring system of claim 2, wherein the environmental assessment model is obtained by the steps of:
acquiring environmental historical data of an investigation region through a data storage module; the environmental historical data is environmental data of a survey area over years;
setting an environment early warning label for the investigation region according to the environment historical data; the value of the environment early warning label is 0 and 1, when the value of the environment early warning label is 0, the environment danger of the investigation region is represented, and when the value of the environment early warning label is 1, the environment of the investigation region is represented to be normal;
constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network;
after the environmental historical data and the corresponding environmental early warning labels are subjected to data normalization, dividing the environmental historical data and the corresponding environmental early warning labels into a training set, a test set and a check set according to a set proportion; the set ratio comprises 4:1, 3:2 and 5: 3;
training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as an environment evaluation model;
and sending the environment evaluation model to a data storage module through the processor for encrypted storage.
4. The field geological survey safety monitoring system of claim 1, wherein the communication diagnosis module is configured to diagnose the communication status of the position data acquisition unit; the step of diagnosing the communication state of the position data acquisition unit specifically includes:
before geological exploration is carried out by an exploration worker, a first state signal is sent to a communication base station through a signal transceiver arranged in a position data acquisition unit according to a set period, and a second state signal is sent to the signal transceiver arranged in the position data acquisition unit immediately when the communication base station receives the first state signal; the set period includes one second, one minute, and one quarter hour;
when the signal processor receives the second state signal, acquiring a time difference value between the sending time of the first state signal and the sending time of the second state signal; the time obtained by the time difference is taken as an independent variable, the time difference is taken as a dependent variable, and a time difference change curve is established through an N-order polynomial fitting method; wherein N is more than or equal to 2;
acquiring a derivative function of a time difference change curve;
after removing the first independent variable and the last independent variable, any independent variable is taken and marked as a first independent variable, the independent variable before the first independent variable is marked as a second independent variable, and the independent variable after the first independent variable is marked as a third independent variable;
respectively importing the first independent variable, the second independent variable and the third independent variable into a derivative function to obtain derivative values, marking the derivative values as a first derivative value, a second derivative value and a third derivative value after obtaining absolute values of the derivative values, obtaining mean values of the first derivative value, the second derivative value and the third derivative value and marking the mean values as derivative mean values DJZ;
when the derivative mean value DJZ meets YDJZ-mu and DJZ + mu, judging that the communication of the position data acquisition unit is normal; otherwise, judging that the communication of the position data acquisition unit is abnormal, and generating and sending a communication abnormal signal to the comprehensive management module; YDJZ is a derivative mean threshold value, YDJZ is obtained through simulation of a large amount of data, mu is a proportionality coefficient, and mu is a real number larger than 0;
and respectively sending the time difference value change curves to the comprehensive management module and the data storage module through the processor.
5. The field geological survey safety monitoring system of claim 1, wherein the environmental data comprises temperature, humidity, wind, air pressure and rainfall; the position data acquisition unit is attached to the body of an exploration worker; the geographic data acquisition unit and the position data acquisition unit are both provided with signal transceivers.
6. The field geological survey safety monitoring system as claimed in claim 1, wherein the method for operating the field geological survey safety monitoring system comprises the following steps:
the method comprises the following steps: before geological exploration is carried out by an exploration worker, a time difference change curve is established through an N-order polynomial fitting method; acquiring a derivative function of a time difference change curve; obtaining the mean value of the first derivative value, the second derivative value and the third derivative value according to the derivative function and marking the mean value as a derivative mean value; judging the communication state of the position data acquisition unit according to the derivative mean value;
step two: after the geological early warning module receives the environmental data, an environmental evaluation model in the data storage module is obtained; acquiring a geological state evaluation coefficient DZ; when the geological state evaluation coefficient DZ is more than or equal to 0 and less than L1, judging the danger of the exploration area, generating and sending an area danger signal to the comprehensive management module; when the geological state evaluation coefficient DZ meets the condition that L1 is not more than DZ, judging the safety of the investigation region, generating and sending a region safety signal to the comprehensive management module;
step three: when the surveyor enters a surveying area, the position of the surveyor is obtained in real time through a position data acquisition unit and marked as a real-time position; acquiring a first circular area and a second circular area according to the real-time position; generating a personnel position display diagram by combining a third-party map platform with the coordinates of the communication base station; when the real-time position is not received within the preset time, determining that the surveyor is in danger; marking the overlapped area of the first circular area and the second circular area as a search and rescue area; marking the search and rescue area as red in the personnel position display picture, generating and sending a search and rescue signal to the comprehensive management module; and sending the personnel position display diagram to the comprehensive management module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110168162.6A CN112991677A (en) | 2021-02-07 | 2021-02-07 | Safety monitoring system and method for field geological exploration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110168162.6A CN112991677A (en) | 2021-02-07 | 2021-02-07 | Safety monitoring system and method for field geological exploration |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112991677A true CN112991677A (en) | 2021-06-18 |
Family
ID=76348896
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110168162.6A Pending CN112991677A (en) | 2021-02-07 | 2021-02-07 | Safety monitoring system and method for field geological exploration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112991677A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113644974A (en) * | 2021-08-16 | 2021-11-12 | 深圳市润迅通投资有限公司 | Fault management and control system of optical fiber communication port network |
| CN113681561A (en) * | 2021-08-27 | 2021-11-23 | 迅立达智能装备制造科技有限公司 | Intelligent industrial robot based on Internet of things |
| CN114584597A (en) * | 2022-03-02 | 2022-06-03 | 湖北中腾智能科教有限公司 | Intelligent monitoring fire-fighting system based on cloud system |
| CN115082545A (en) * | 2022-06-08 | 2022-09-20 | 国网黑龙江省电力有限公司大庆供电公司 | Safety system applied to electric power field |
| CN115662143A (en) * | 2022-11-21 | 2023-01-31 | 吉林大学 | Dynamic prediction system and method for operation safety situation of public transport enterprise |
| CN116341201A (en) * | 2023-02-20 | 2023-06-27 | 山东齐测工程设计咨询有限公司 | Survey and drawing execution supervision system based on geological survey engineering |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02220200A (en) * | 1989-02-21 | 1990-09-03 | Syst Gaade Service Kk | Broad area rescuing system |
| TW201545132A (en) * | 2014-05-26 | 2015-12-01 | Bingotimes Digital Technology Co Ltd | Wireless communication rescue system |
| CN106682546A (en) * | 2016-12-21 | 2017-05-17 | 武汉市龙腾创科技有限公司 | Search and rescue system based on RFID tag and method thereof |
| CN109118736A (en) * | 2018-10-15 | 2019-01-01 | 深圳市靓工创新应用科技有限公司 | Fire alarm system, method and readable storage medium storing program for executing based on Internet of Things |
| CN109147962A (en) * | 2018-08-20 | 2019-01-04 | 西南能矿集团股份有限公司 | A kind of geologic prospect remote medical consultation with specialists and supervisory systems based on Internet of Things |
| CN111784082A (en) * | 2020-08-04 | 2020-10-16 | 安徽亿纵电子科技有限公司 | GIS mountain torrent prevention early warning system based on big data |
-
2021
- 2021-02-07 CN CN202110168162.6A patent/CN112991677A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02220200A (en) * | 1989-02-21 | 1990-09-03 | Syst Gaade Service Kk | Broad area rescuing system |
| TW201545132A (en) * | 2014-05-26 | 2015-12-01 | Bingotimes Digital Technology Co Ltd | Wireless communication rescue system |
| CN106682546A (en) * | 2016-12-21 | 2017-05-17 | 武汉市龙腾创科技有限公司 | Search and rescue system based on RFID tag and method thereof |
| CN109147962A (en) * | 2018-08-20 | 2019-01-04 | 西南能矿集团股份有限公司 | A kind of geologic prospect remote medical consultation with specialists and supervisory systems based on Internet of Things |
| CN109118736A (en) * | 2018-10-15 | 2019-01-01 | 深圳市靓工创新应用科技有限公司 | Fire alarm system, method and readable storage medium storing program for executing based on Internet of Things |
| CN111784082A (en) * | 2020-08-04 | 2020-10-16 | 安徽亿纵电子科技有限公司 | GIS mountain torrent prevention early warning system based on big data |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113644974A (en) * | 2021-08-16 | 2021-11-12 | 深圳市润迅通投资有限公司 | Fault management and control system of optical fiber communication port network |
| CN113681561A (en) * | 2021-08-27 | 2021-11-23 | 迅立达智能装备制造科技有限公司 | Intelligent industrial robot based on Internet of things |
| CN113681561B (en) * | 2021-08-27 | 2022-12-06 | 迅立达智能装备制造科技有限公司 | Intelligent industrial robot based on Internet of things |
| CN114584597A (en) * | 2022-03-02 | 2022-06-03 | 湖北中腾智能科教有限公司 | Intelligent monitoring fire-fighting system based on cloud system |
| CN115082545A (en) * | 2022-06-08 | 2022-09-20 | 国网黑龙江省电力有限公司大庆供电公司 | Safety system applied to electric power field |
| CN115662143A (en) * | 2022-11-21 | 2023-01-31 | 吉林大学 | Dynamic prediction system and method for operation safety situation of public transport enterprise |
| CN116341201A (en) * | 2023-02-20 | 2023-06-27 | 山东齐测工程设计咨询有限公司 | Survey and drawing execution supervision system based on geological survey engineering |
| CN116341201B (en) * | 2023-02-20 | 2023-09-19 | 山东齐测工程设计咨询有限公司 | Survey and drawing execution supervision system based on geological survey engineering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112991677A (en) | Safety monitoring system and method for field geological exploration | |
| WO2023061039A1 (en) | Tailing pond risk monitoring and early-warning system based on internet of things | |
| CN111915128B (en) | Post-disaster evaluation and rescue auxiliary system for secondary landslide induced by earthquake | |
| CN103090825A (en) | Compatible railroad bridge condition monitoring system based on Beidou satellite | |
| CN113053063A (en) | Mobile terminal-based disaster online disposal flow implementation method | |
| KR102157592B1 (en) | System and method for beach safety management for prevention of beach safety accident and computer program for the same | |
| CN113487094B (en) | Ocean data management application platform | |
| EP3329212B1 (en) | System and method for detecting ground position changes | |
| CN114550073A (en) | Monitoring system of new energy automobile charging pile | |
| CN107884777A (en) | A kind of shatter-resistant protection and loss prevention device for unmanned plane | |
| CN115100816A (en) | Wearable near-electricity sensing equipment and monitoring system | |
| CN115762067A (en) | Mountain landslide monitoring system based on fusion of laser point cloud and video data | |
| CN115914282A (en) | Multidimensional monitoring system for leakage of buried natural gas pipeline | |
| CN206096454U (en) | A prevent falling protection and loss preventive device for unmanned aerial vehicle | |
| CN117408757B (en) | Intelligent evaluation system for monitoring advertisement putting effect | |
| CN112116220A (en) | Artificial intelligent early warning and monitoring method for earthquake damage of large-scale building group | |
| CN203011355U (en) | Compatible railway bridge state monitoring system based on big dipper | |
| CN109458924B (en) | Resistance smart grid deformation testing system and method based on ten-axis sensor | |
| CN116582930A (en) | Underground personnel accurate positioning software system based on regional positioning | |
| CN114462882B (en) | Safety protection system for water conservancy construction based on internet of things | |
| CN117197978A (en) | Forest fire monitoring and early warning system based on deep learning | |
| CN116090989A (en) | Digital twinning-based exposure test station management system | |
| CN114710717A (en) | Cable well lid monitoring system based on NB-IoT | |
| CN114646735A (en) | Carbon dioxide concentration monitoring system in air | |
| CN108613701A (en) | A kind of remote supervision system and method for dam |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |