CN116929362B - Experimental emergency rescue auxiliary decision-making platform based on big data technology - Google Patents
Experimental emergency rescue auxiliary decision-making platform based on big data technology Download PDFInfo
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Abstract
The invention relates to an experimental emergency rescue auxiliary decision-making platform based on big data technology, which relates to the technical field of big data; the system comprises a data acquisition module, a data processing module, an emergency analysis module and a model optimization module; the data acquisition module consists of a data acquisition terminal and a data input terminal and is used for acquiring laboratory information data; the data processing module comprises a first processing unit, a second processing unit and a third processing unit, processes laboratory information data and establishes a historical dangerous escape route model according to a processing result; the emergency analysis module is used for carrying out rescue practice analysis on the escape dangerous route model and generating a rescue escape route according to an analysis result; the model optimization module is used for optimizing the escape dangerous route model; the escape dangerous route model is obtained and applied to emergency rescue, and the escape route is obtained in the emergency rescue to rescue.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an experimental emergency rescue auxiliary decision-making platform based on big data technology.
Background
The laboratory is a necessary space for enterprises, schools and scientific research institutions, and is used for storing various experimental raw materials on one hand and carrying out various experiments on the other hand, so that the laboratory always belongs to a high-risk place, is concerned by various units, is safe, is used for coping with various sudden dangers, and is also an emphasized point of various enterprises and institutions to the greatest extent;
in the prior art, when a sudden danger occurs in a laboratory, a correct escape route cannot be selected for laboratory dynamic personnel when the laboratory dynamic personnel are not prepared, the position of the laboratory dynamic personnel cannot be determined in a short-distance closed space for rescue personnel, the rescue route cannot be determined, the rescue time is precious and short, and the laboratory dynamic personnel are rescued in golden time to ensure the life of the laboratory dynamic personnel, so that the auxiliary decision platform for the emergency rescue based on a big data technology experiment is provided; the system is suitable for laboratories of different types, and can quickly react and make emergency guidance when an emergency occurs.
Disclosure of Invention
In order to solve the technical problems, the invention provides an experimental emergency rescue auxiliary decision-making platform based on big data technology;
the aim of the invention can be achieved by the following technical scheme: the experimental emergency rescue auxiliary decision-making platform based on the big data technology comprises a decision-making terminal, wherein the decision-making terminal is connected with a data acquisition module, a data processing module, an emergency analysis module and a model optimization module;
the data acquisition module consists of a data acquisition terminal and a data input terminal and is used for acquiring laboratory information data;
the data processing module comprises a first processing unit, a second processing unit and a third processing unit;
the first processing unit is used for processing laboratory information data, generating first processing data and sending the first processing data to the second processing unit;
the second processing unit is used for obtaining time information data according to the first processing data, processing the time information data, generating second processing data and sending the second processing data to the third processing unit;
the third processing unit is used for processing the second processing data, generating third processing data and establishing an escape danger route model according to the third processing data;
the emergency analysis module is used for carrying out rescue practice analysis on the escape dangerous route model and generating a rescue escape route according to an analysis result;
the model optimization module is used for optimizing the escape dangerous route model.
Further, the laboratory information data includes location information, time information data, and a hazard escape route;
the position information data comprise position information data of laboratory dynamic personnel, laboratory door position information data and laboratory window position information;
the time information data comprises dangerous occurrence time information data, successful rescue time information data and expected time information data;
the hazard escape route includes an autonomous escape route and a rescue escape route.
Further, the process of collecting laboratory information data by the data collecting module comprises the following steps:
setting laboratory dynamic personnel entering a laboratory to wear an intelligent bracelet, wherein the intelligent bracelet is connected with a 5G communication network and is connected with a terminal through wireless communication;
the intelligent bracelet is provided with a GPS satellite tracking locator and is used for obtaining position information data of laboratory dynamic personnel wearing the intelligent bracelet, establishing an experiment space system by taking the position information data of the laboratory dynamic personnel as a three-dimensional coordinate system origin, marking positions of a laboratory window and a laboratory door, obtaining the information data of the laboratory door and the information data of the laboratory window in real time according to the change of the position information data of the laboratory dynamic personnel, and importing the experiment space system into the intelligent bracelet;
sharing an experimental space system corresponding to the intelligent bracelet to a terminal, and generating an experimental space map by the terminal receiving a plurality of experimental space sharing systems;
the laboratory space map takes the positions of laboratory dynamic personnel corresponding to the intelligent bracelet as different origins to obtain corresponding laboratory door information data and laboratory window information data.
Further, the process of generating the first processing data by the first processing unit includes:
and automatically generating a plurality of dangerous escape routes to the laboratory door information data or to the laboratory window information data according to the position information data of one laboratory dynamic personnel, storing the plurality of dangerous escape routes in a database, and generating first processing data.
Further, the process of generating the second processing data by the second processing unit includes:
corresponding emergency exercises are carried out on a plurality of dangerous escape routes corresponding to the position information data of one laboratory dynamic person, and time information data corresponding to the plurality of dangerous escape routes of the laboratory dynamic person are obtained according to the emergency exercises;
the emergency exercise records starting time information data and successful rescue time information data of the emergency exercise, the starting time of the emergency exercise is marked as dangerous occurrence time information data, the dangerous occurrence time information data and the successful rescue information data generate a group of time information data sets, and the predicted time information data is obtained according to the dangerous occurrence time information data and the successful rescue time information data and is marked as YT;
marking dangerous occurrence time information data as WT and successful rescue time information data as CT;
obtaining predicted time information data according to the dangerous occurrence time information data and the successful rescue time information data, and marking the predicted time information data as YT, namely, the formula is as follows:
wherein ST is expressed as a factor time, W, generated by a risk factor in the risk escape route 1 、W 2 、W 3 Weights denoted CT, WT, ST;
and sending the obtained predicted time information data to a time information data set, generating second processing data, storing a plurality of second processing data in a database, and displaying the predicted time information data in a dangerous escape route corresponding to an experimental space system of the intelligent bracelet and an experimental space map of the terminal.
Further, the process of establishing the escape danger route model by the third processing unit includes:
setting a predicted time information data threshold value a, wherein a is more than 0, scheduling predicted time information data in second processing data in a database, comparing the predicted time information data with a predicted time information data threshold range, and screening a dangerous escape route corresponding to the predicted time information data;
if YT is less than or equal to a, reserving the corresponding dangerous escape route, if YT is more than a, rejecting the corresponding dangerous escape route, storing the reserved dangerous escape route in a database, displaying the dangerous escape route in an experimental space system of the intelligent bracelet, and marking the dangerous escape route in the experimental space system of the intelligent bracelet as an autonomous escape route;
and establishing an escape dangerous route model according to the marked autonomous escape route, and sending the escape dangerous route model to an experimental space map of the terminal for display.
Further, the emergency analysis module generates a rescue escape route comprising:
the experimental space map receives the escape dangerous route model, and the emergency analysis module carries out rescue practice analysis on the autonomous escape route in the escape dangerous route model;
the method comprises the steps that a laboratory dynamic person sends an alarm signal to a terminal through an intelligent bracelet, when the laboratory dynamic person sends the alarm signal, the intelligent bracelet sends an alarm flicker sound signal to inform the terminal of position information data of the laboratory dynamic person, the terminal rescue person receives the alarm signal, obtains an autonomous escape route through an escape danger route model, and decides an autonomous escape route with the shortest predicted time information data to rescue the laboratory dynamic person according to predicted time information data of the autonomous escape route to obtain rescue time of the autonomous escape route;
screening the autonomous escape route according to the rescue time, setting a rescue time threshold, reserving the autonomous escape route if the rescue time is smaller than the rescue time threshold, removing the autonomous escape route if the rescue time is larger than the rescue time threshold, generating a rescue escape route from the reserved autonomous escape route, and automatically generating the rescue escape route in an experimental space map if a terminal rescue person autonomously selects the rescue escape route;
the automatically generated rescue escape route is sent to an escape hazard route model.
Further, the process of optimizing the escape danger route model by the model optimization module comprises the following steps:
if the laboratory dynamic personnel use the intelligent bracelet to schedule the escape dangerous route model in the experimental space system, automatically scheduling an autonomous escape route in the escape dangerous route model;
and if the terminal receives the alarm signal, automatically dispatching out a rescue escape route in the escape danger route model in the experimental space map.
Compared with the prior art, the invention has the beneficial effects that: the data acquisition module is composed of a data acquisition terminal and a data input terminal, laboratory information data are acquired, the laboratory information data are processed by a first processing unit, a second processing unit and a third processing unit which are included in the data processing module, a historical dangerous escape route model is established according to processing results, rescue practice analysis is conducted on the escape dangerous route model according to an emergency analysis module, a rescue escape route is generated according to analysis results, the escape dangerous route model is optimized, different escape dangerous routes are scheduled for different users by the aid of the escape dangerous route model, correct escape route selection is made for laboratory dynamic personnel when the laboratory dynamic personnel are not in standby, the position of the laboratory dynamic personnel is determined in a short-distance closed space, the rescue route is determined for the rescue personnel, and the laboratory dynamic personnel are rescued in golden time.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
As shown in fig. 1, the experimental emergency rescue auxiliary decision platform based on the big data technology comprises a decision terminal, wherein the decision terminal is connected with a data acquisition module, a data processing module, an emergency analysis module and a model optimization module;
the data acquisition module is composed of a data acquisition terminal and a data input terminal and is used for acquiring laboratory information data, and the specific process comprises the following steps:
the laboratory information data includes location information, time information data, and a hazard escape route;
the position information data comprise position information data of laboratory dynamic personnel, laboratory door position information data and laboratory window position information;
the time information data comprises dangerous occurrence time information data, successful rescue time information data and expected time information data;
the dangerous escape routes include autonomous escape routes and rescue escape routes;
setting laboratory dynamic personnel entering a laboratory to wear an intelligent bracelet, wherein the intelligent bracelet is connected with a 5G communication network and is connected with a wireless communication terminal, and the terminal comprises a laboratory management terminal and a fire control management terminal;
the intelligent bracelet is provided with a GPS satellite tracking locator and is used for obtaining position information data of laboratory dynamic personnel wearing the intelligent bracelet, establishing an experiment space system by taking the position information data of the laboratory dynamic personnel as a three-dimensional coordinate system origin, marking positions of a laboratory window and a laboratory door to obtain laboratory door information data and laboratory window information data, obtaining the laboratory door information data and the laboratory window information data in real time according to the position information data change of the laboratory dynamic personnel, and importing the experiment space system into the intelligent bracelet;
sharing an experimental space system corresponding to the intelligent bracelet to a terminal, and generating an experimental space map by the terminal receiving a plurality of experimental space sharing systems;
the laboratory space map takes the positions of laboratory dynamic personnel corresponding to the intelligent bracelet as different origins to obtain corresponding laboratory door information data and laboratory window information data;
it should be further noted that, in the implementation process, when the position information data of the laboratory dynamic personnel is set to be (0, 0), the laboratory door information data is obtained as (x) 1 ，y 1 ) Laboratory window information data is (x) 2 ，y 2 ) When the position information data of the laboratory dynamic personnel is changed to (0, 1), the obtained laboratory door information data is (x) 1 ，y 1 +1), laboratory window information data is (x) 2 ，y 2 +1)；
And sending the collected laboratory information data to a data processing module for processing.
The data processing module is used for processing laboratory information data, and establishing a historical dangerous escape route model according to a processing result, and the concrete process comprises the following steps:
the data processing module comprises a first processing unit, a second processing unit and a third processing unit, wherein the first processing unit and the second processing unit are connected and transmit information data to the third processing unit, the third processing unit receives the information data, performs calculation processing on the information data of the third processing unit based on edge calculation, and establishes a historical escape danger route model;
the first processing unit is configured to process the location information data, generate first processing data, and send the first processing data to the second processing unit, where the specific process includes:
automatically generating a plurality of dangerous escape routes according to the position information data of a laboratory dynamic person, storing the plurality of dangerous escape routes in a database, and marking the plurality of dangerous escape routes, namely marking the plurality of dangerous escape routes as n, wherein n is a natural number larger than 0;
the danger escape route is represented as a route from the position information data of the laboratory dynamic personnel to the laboratory door information data or to the laboratory window information data;
generating first processing data by a plurality of dangerous escape routes, and sending the first processing data to a second processing unit for processing;
it should be further noted that, in the implementation process, the dangerous escape route is changed along with the change of the position information data of the laboratory dynamic personnel, and the position information data of the laboratory dynamic personnel is different, so that the laboratory door information data and the laboratory window information data are changed, and the obtained dangerous escape route is also changed along with the change of the laboratory dynamic personnel; it should be further noted that the dangerous escape route may be either straight or curved;
the second processing unit is configured to obtain time information data according to the first processing data, process the time information data, generate second processing data, and send the second processing data to the third processing unit, where the specific process includes:
corresponding emergency exercises are carried out on a plurality of dangerous escape routes corresponding to the position information data of one laboratory dynamic person, and time information data corresponding to the plurality of dangerous escape routes of the laboratory dynamic person are obtained according to the emergency exercises;
the emergency exercise records starting time information data and successful rescue time information data of the emergency exercise, the starting time of the emergency exercise is marked as dangerous occurrence time information data, the dangerous occurrence time information data and the successful rescue information data generate a group of time information data sets, the data of the time information data sets are marked, the dangerous occurrence time information data is marked as WT, and the successful rescue time information data is marked as CT;
obtaining predicted time information data according to the dangerous occurrence time information data and the successful rescue time information data, and marking the predicted time information data as YT, namely, the formula is as follows:
wherein ST is expressed as a factor time, W, generated by a risk factor in the risk escape route 1 、W 2 、W 3 Weights denoted CT, WT, ST;
the obtained estimated time information data are sent to a time information data set to generate second processing data, a plurality of second processing data are stored in a database, and the estimated time information data are displayed in a dangerous escape route corresponding to an experimental space system of the intelligent bracelet and an experimental space map of the terminal;
the obtained second processing data is sent to a third processing unit for processing;
it should be further described that, in the implementation process, a laboratory dynamic person encounters an emergency danger in a laboratory, self-rescue or help seeking can be implemented, a danger escape route generated by the laboratory dynamic person in an experimental space system of the intelligent bracelet is an autonomous escape route, and a danger escape route generated by a terminal in an experimental space map is a rescue escape route;
the third processing unit is used for processing the second processing data to generate third processing data, and establishing an escape danger route model according to the third processing data, and the specific process comprises the following steps:
setting a predicted time information data threshold value a, wherein a is more than 0, scheduling predicted time information data in second processing data in a database, comparing the predicted time information data with a predicted time information data threshold range, and screening a dangerous escape route corresponding to the predicted time information data;
if YT is less than or equal to a, reserving the corresponding dangerous escape route, if YT is more than a, rejecting the corresponding dangerous escape route, storing the reserved dangerous escape route in a database, displaying the dangerous escape route in an experimental space system of the intelligent bracelet, and marking the dangerous escape route in the experimental space system of the intelligent bracelet as an autonomous escape route;
and establishing an escape dangerous route model according to the marked autonomous escape route, and sending the escape dangerous route model to an experimental space map of the terminal for display.
The emergency analysis module is used for carrying out rescue practice analysis on the escape dangerous route model, and generating a rescue escape route according to an analysis result, wherein the specific process comprises the following steps of:
the experimental space map receives the escape dangerous route model, and the emergency analysis module carries out rescue practice analysis on the autonomous escape route in the escape dangerous route model;
the method is characterized in that the rescue practice analysis is that when laboratory dynamic personnel are in emergency danger, an alarm signal is sent to a terminal, the terminal manager rescue the laboratory dynamic personnel, the terminal manager obtains position information data of the laboratory dynamic personnel and a plurality of independent escape routes according to an experimental space map, and the laboratory dynamic personnel are rescued;
the method comprises the steps that a laboratory dynamic person sends an alarm signal to a terminal through an intelligent bracelet, when the laboratory dynamic person sends the alarm signal, the intelligent bracelet sends an alarm flicker sound signal to inform the terminal to rescue the position information data of the laboratory dynamic person, the terminal rescue person receives the alarm signal, an autonomous escape route is obtained through an escape danger route model, the autonomous escape route with the shortest predicted time information data is decided to rescue the laboratory dynamic person according to the predicted time information data of the autonomous escape route, and the rescue time of the autonomous escape route is obtained, wherein the rescue time is the time for the terminal rescue person to successfully rescue the laboratory dynamic person;
screening the autonomous escape route according to the rescue time, setting a rescue time threshold, reserving the autonomous escape route if the rescue time is smaller than the rescue time threshold, removing the autonomous escape route if the rescue time is larger than the rescue time threshold, generating a rescue escape route from the reserved autonomous escape route, and automatically generating the rescue escape route in an experimental space map if a terminal rescue person autonomously selects the rescue escape route;
the automatically generated rescue escape route is sent to an escape hazard route model.
The model optimization module is used for optimizing the escape dangerous route model, and the concrete process comprises the following steps:
if the laboratory dynamic personnel use the intelligent bracelet to schedule the escape dangerous route model in the experimental space system, automatically scheduling an autonomous escape route in the escape dangerous route model;
and if the terminal receives the alarm signal, automatically dispatching out a rescue escape route in the escape danger route model in the experimental space map.
Working principle: the method comprises the steps of collecting laboratory information data by using a data collecting module, sending the laboratory information data to a data processing module, sending position information data included in the laboratory information data to a first processing unit for processing, generating first processing data, sending the first processing data to a second processing unit, obtaining time information data according to the first processing data, processing the time information data, generating second processing data, sending the second processing data to a third processing unit, processing the second processing data, generating third processing data, establishing an escape danger route model according to the third processing data, carrying out rescue practice analysis on the escape danger route model, generating a rescue escape route according to an analysis result, optimizing the escape danger route model, and guaranteeing real-time performance and accuracy of the escape danger route model for escape routes scheduled by different users, so that the escape danger is faster.
The embodiments described above are only some, but not all, embodiments of the present invention, and all other embodiments obtained by a person skilled in the art without making any inventive changes are included in the scope of protection of the present invention.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (2)
1. The experimental emergency rescue auxiliary decision-making platform based on the big data technology comprises a decision-making terminal and is characterized in that the decision-making terminal is connected with a data acquisition module, a data processing module, an emergency analysis module and a model optimization module;
the data acquisition module consists of a data acquisition terminal and a data input terminal and is used for acquiring laboratory information data;
the data processing module comprises a first processing unit, a second processing unit and a third processing unit;
the first processing unit is used for processing laboratory information data, generating first processing data and sending the first processing data to the second processing unit;
the second processing unit is used for obtaining time information data according to the first processing data, processing the time information data, generating second processing data and sending the second processing data to the third processing unit;
the third processing unit is used for processing the second processing data, generating third processing data and establishing an escape danger route model according to the third processing data;
the emergency analysis module is used for carrying out rescue practice analysis on the escape dangerous route model and generating a rescue escape route according to an analysis result;
the model optimization module is used for optimizing the escape dangerous route model;
the laboratory information data includes location information data, time information data, and a hazard escape route;
the position information data comprise position information data of laboratory dynamic personnel, laboratory door position information data and laboratory window position information;
the time information data comprises dangerous occurrence time information data, successful rescue time information data and expected time information data;
the dangerous escape routes include autonomous escape routes and rescue escape routes;
the process for collecting laboratory information data by the data collecting module comprises the following steps:
providing that laboratory dynamic personnel entering a laboratory wear a smart bracelet, wherein the smart bracelet is connected with a 5G communication network and is connected with a terminal through wireless communication;
the intelligent bracelet is provided with a GPS satellite tracking locator and is used for obtaining position information data of laboratory dynamic personnel wearing the intelligent bracelet, establishing an experiment space system by taking the position information data of the laboratory dynamic personnel as a three-dimensional coordinate system origin, marking positions of a laboratory window and a laboratory door, obtaining the information data of the laboratory door and the information data of the laboratory window in real time according to the change of the position information data of the laboratory dynamic personnel, and importing the experiment space system into the intelligent bracelet;
sharing an experimental space system corresponding to the intelligent bracelet to a terminal, and generating an experimental space map by the terminal receiving a plurality of experimental space sharing systems;
the laboratory space map takes the positions of laboratory dynamic personnel corresponding to the intelligent bracelet as different origins to obtain corresponding laboratory door information data and laboratory window information data;
the process of generating first processing data by the first processing unit comprises the following steps:
automatically generating a plurality of dangerous escape routes to laboratory gate information data or laboratory window information data according to the position information data of the laboratory dynamic personnel, storing the plurality of dangerous escape routes in a database, and generating first processing data;
the process of generating second processing data by the second processing unit comprises the following steps:
corresponding emergency exercises are carried out on a plurality of dangerous escape routes corresponding to the position information data of the laboratory dynamic personnel, and time information data corresponding to the plurality of dangerous escape routes of the laboratory dynamic personnel are obtained according to the emergency exercises;
the emergency exercise records starting time information data and successful rescue time information data of the emergency exercise, the starting time of the emergency exercise is marked as dangerous occurrence time information data, the dangerous occurrence time information data and the successful rescue information data generate a group of time information data sets, and the predicted time information data is obtained according to the dangerous occurrence time information data and the successful rescue time information data and is marked as YT;
the obtained estimated time information data are sent to a time information data set to generate second processing data, a plurality of second processing data are stored in a database, and the estimated time information data are displayed in a dangerous escape route corresponding to an experimental space system of the intelligent bracelet and an experimental space map of the terminal;
the process of establishing the escape danger route model by the third processing unit comprises the following steps:
setting a predicted time information data threshold value a, wherein a is more than 0, scheduling predicted time information data in second processing data in a database, comparing the predicted time information data with a predicted time information data threshold range, and screening a dangerous escape route corresponding to the predicted time information data;
if YT is less than or equal to a, reserving the corresponding dangerous escape route, if YT is more than a, rejecting the corresponding dangerous escape route, storing the reserved dangerous escape route in a database, displaying the dangerous escape route in an experimental space system of the intelligent bracelet, and marking the dangerous escape route in the experimental space system of the intelligent bracelet as an autonomous escape route;
establishing an escape dangerous route model according to the marked autonomous escape route, and sending the escape dangerous route model to an experimental space map of the terminal for display;
the emergency analysis module generates a rescue escape route comprising:
the method comprises the steps that a laboratory dynamic person sends an alarm signal to a terminal through an intelligent bracelet, when the laboratory dynamic person sends the alarm signal, the intelligent bracelet sends an alarm flicker sound signal to inform the terminal of position information data of the laboratory dynamic person, the terminal rescue person receives the alarm signal, obtains an autonomous escape route through an escape danger route model, and decides an autonomous escape route with the shortest predicted time information data to rescue the laboratory dynamic person according to predicted time information data of the autonomous escape route to obtain rescue time of the autonomous escape route;
screening the autonomous escape route according to the rescue time, setting a rescue time threshold, reserving the autonomous escape route if the rescue time is smaller than the rescue time threshold, removing the autonomous escape route if the rescue time is larger than the rescue time threshold, generating a rescue escape route from the reserved autonomous escape route, and automatically generating the rescue escape route in an experimental space map if a terminal rescue person autonomously selects the rescue escape route;
the automatically generated rescue escape route is sent to an escape hazard route model.
2. The experimental emergency rescue aid decision-making platform based on big data technology according to claim 1, wherein the process of optimizing the escape danger route model by the model optimization module comprises:
if the laboratory dynamic personnel use the intelligent bracelet to schedule the escape dangerous route model in the experimental space system, automatically scheduling an autonomous escape route in the escape dangerous route model;
and if the terminal receives the alarm signal, automatically dispatching out a rescue escape route in the escape danger route model in the experimental space map.
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