CN113065984A - Intelligent detection and evaluation system and method for rail transit station emergency drilling information - Google Patents
Intelligent detection and evaluation system and method for rail transit station emergency drilling information Download PDFInfo
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Abstract
Disclosed is an intelligent detection and evaluation system and method for rail transit station emergency drilling information, which comprises an online detection module, a system configuration module, a data analysis module, a system scoring module and an evaluation analysis module, wherein the system collects coordinate data, video data and voice data of drilling personnel in real time, the multi-source detection data is stored in a database in a classified manner, a standardized interface is provided for data, an efficient data calling mode is provided for data analysis, fusion matching and application, the construction of an evaluation method system and an evaluation standard is realized, an automatic scoring and evaluation system meeting production requirements is provided, an effective technical means is provided for improving drilling evaluation efficiency and emergency plan optimization, cooperative management between human-machine-ring in the station is realized by combining other service systems such as facility equipment positioning, passenger flow detection, station environment control detection and the like, and the station operation management efficiency and passenger service level are improved, the safe and efficient operation of the rail transit system is fully guaranteed.
Description
Technical Field
The invention relates to the technical field of rail transit safety, in particular to an intelligent detection and evaluation system and method for rail transit station emergency drilling information.
Background
The operation safety of the rail transit system is a precondition and guarantee for the normal trip of passengers, and is also a basic requirement and a primary standard for the trip of the passengers. In order to effectively deal with the influence of emergencies such as natural disasters, social security, equipment faults and the like on the rail transit system, an operation company improves the emergency handling capacity of operation personnel in the form of emergency drilling and evaluation, perfects an emergency handling scheme and ensures the safe operation of the rail transit system.
At present, the emergency drilling form of the rail transit station mainly comprises desktop deduction and field drilling, wherein the field drilling has the characteristics of higher authenticity, need of running in production environments such as stations and the like, capability of enabling drilling personnel to actually operate production facility equipment and keep a mental state and the like, and irreplaceable effect on the detection of emergency handling capacity and safety consciousness of the drilling personnel. The emergency drilling evaluation is usually in the form of third-party field evaluation, and the evaluation personnel carries equipment such as a scoring table, a timer, a law enforcement recorder and the like to follow the field drilling personnel, record and score the performance of the drilling. However, the drilling process is time-compact, the field environment is complex, and the subjectivity of manual evaluation may cause the problems of inaccurate data record, limited data record, influence of subjective factors on the evaluation result, long manual analysis period and the like in the drilling process.
The prior related art mainly focuses on the technologies of realizing drilling and evaluation and positioning and scheduling assistance of emergency drilling personnel in a virtual environment by using a simulation technology, wherein the simulation drilling evaluation is difficult to realize the effect of field drilling due to limited simulation effect and experience, and the effective evaluation of the emergency handling capability of the emergency drilling personnel is difficult to realize only based on the positioning technology because the rail transit emergency drilling needs to investigate the execution conditions of key behaviors such as equipment carrying, running position, equipment operation and information transmission.
Therefore, the main disadvantages of the current rail transit emergency drilling and evaluation technology are focused on:
(1) the manual evaluation form adopted at present in the rail transit station is greatly influenced by the field drilling form and subjective factors, and the problems that an evaluator is inaccurate in drilling data record, lack of objectivity in scoring, injured in the evaluation process, long in manual analysis period, high in human resource consumption and the like can be caused.
(2) The data records of the prior rail transit field drilling are less, the field drilling evaluation can record whether the key behaviors are executed or not and the execution time, but the data of the running track, the residence time of the key area, the behavior characteristics and the like of personnel under the emergency condition can not be effectively collected, so that the resource waste of the drilling data is caused, and the utilization rate of the drilling data is lower.
(3) The existing emergency drilling detection technology has a single data source, and a detection technology mainly based on a positioning technology can acquire position and track information of drilling personnel, but cannot meet the requirements of judging and counting key behaviors of equipment carrying, equipment operation, information transmission and the like in rail transit emergency drilling and evaluation, and is difficult to realize effectiveness evaluation of drilling execution conditions.
(4) The method and the system are lack of perfect evaluation method systems and automatic evaluation systems, lack of emergency drilling behavior feature libraries, quantitative evaluation standards, normal score conversion and systematic management of emergency drilling data, do not automatically and accurately identify drilling key behaviors according to the behavior features of drilling personnel, do not establish a universal data quantitative evaluation standard, and achieve perfect drilling result evaluation and analysis.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides an intelligent detection and evaluation system and method for rail transit station emergency drilling information.
On the one hand, the invention provides an intelligent detection and evaluation system for rail transit station emergency drilling information, which comprises the following components:
the online detection module, online detection module gathers the multisource detection data of check out test set under the rehearsal scene to multisource detection data storage to the system configuration module of gathering, wherein, multisource detection data include: positioning coordinates, video images and voice communication data;
the system configuration module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and performing data interaction with the data analysis module, the system scoring module and the evaluation analysis module for data storage, data matching, data calling and data updating;
the data analysis module analyzes the drilling process data and the key behavior characteristics based on the multi-source detection data and the drilling scene configuration data, transmits the drilling process data to the system configuration module and transmits the key behavior characteristics to the system scoring module;
the system scoring module is used for matching and resolving a rehearsal original score based on the weight assignment standard obtained from the system configuration module and the key behavior characteristics obtained from the data analysis module, converting the original score into a normal score based on historical data obtained from the system configuration module, and transmitting the original score and the normal score to the system configuration module;
and the evaluation analysis module is used for obtaining a drilling evaluation result and evaluation analysis based on the original score and the normal score provided by the system scoring module and the drilling process data and the weight assignment standard provided by the system configuration module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage.
Further, the check out test set of on-line measuring module is including location bracelet, location basic station and station camera, video image is gathered to the station camera, the location basic station with the location coordinate and the voice communication data of personnel and equipment are gathered to the location bracelet.
Further, the system configuration module includes:
the database is used for receiving and storing the multi-source detection data of the online detection module, and storing, reading and updating data among the data analysis module, the system scoring module and the evaluation analysis module;
a map engine to display location information of people and devices;
the multi-source data matching module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and linking with the online detection module through signals to serve data acquisition of the online detection module.
Further, the data analysis module comprises a positioning signal analysis engine, a video analysis engine and a voice analysis engine, the positioning signal analysis engine is based on the distance difference between the positioning bracelet and the positioning base station to analyze the real-time positioning coordinate of the positioning bracelet, the video analysis engine is based on a station camera to collect video images to analyze key behavior characteristics, and the voice analysis engine is based on voice communication data collected by the positioning bracelet to analyze voice data.
Further, the system scoring module includes a multimodal scoring engine.
Further, the evaluation and analysis module comprises a drilling result analysis engine and a drilling automatic scoring engine, and the drilling result analysis engine performs analysis based on the drilling process data stored by the system configuration module; and the drilling automatic scoring engine is used for matching the data analyzed by the drilling result analysis engine with the weight assignment standard so as to obtain a drilling evaluation result and evaluation analysis.
The invention provides an intelligent detection and evaluation method for rail transit station emergency drilling information, which comprises the following steps:
s1: generating a drilling scene and a weight assignment standard by configuration through a system configuration module;
s2: the method comprises the steps that multi-source detection data of detection equipment in a drilling scene are collected through an online detection module, and the collected multi-source detection data are stored in a system configuration module, wherein the multi-source detection data comprise positioning coordinates, video images and voice communication data, and the detection equipment comprises a positioning bracelet, a positioning base station and a station camera;
s3: analyzing the drilling process data and key behavior characteristics by a data analysis module through positioning track analysis, voice recognition and image recognition technologies, transmitting the drilling process data to a system configuration module, and transmitting the key behavior characteristics to a system scoring module;
s4: calculating a drilling original score through a system scoring module in a matching way, converting the original score into a normal score based on historical data obtained from a system configuration module, and transmitting the original score and the normal score to the system configuration module;
s5: and generating a drilling evaluation result and evaluation analysis through the original score, the normal mode score, the drilling process data and the weight assignment standard obtained by the evaluation analysis module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage and updating.
Further, the step S1 includes the following steps:
s11: inputting exercise subjects, emergency parameters and configuration information of exercise stations;
s12: generating a drilling scene according to the parameter information of the emergency and the map information matched with the drilling station;
s13: obtaining standard scores of various drilling links by adopting an analytic hierarchy process and a good-bad solution distance method;
s14: and matching the evaluation standard of the current drilling station according to the factors of the distance between the key positions, the drilling time requirement, the equipment operation requirement and the information transmission requirement based on the map information of the drilling station.
Further, the step S2 includes the following steps:
s21: voice communication data are collected based on a built-in voice sensor module in the positioning bracelet;
s22: acquiring motion trail information of the drilling personnel through a UWB positioning technology based on a positioning bracelet and a positioning base station to acquire positioning coordinates;
s23: based on a station camera to collect video images;
s24: and storing the voice communication data, the positioning coordinates and the video images to a system configuration module through a wired network.
Further, the step S3 includes the following steps:
s31: the positioning bracelet analyzes bracelet position information through a UWB positioning technology and a TOA and TDOA mixed algorithm;
s32: the voice information is based on the key information of the voice recognition technology of the dynamic time adjustment algorithm;
s33: analyzing the field monitoring video by the video image information through a video identification technology by using a deep learning algorithm, and identifying information such as equipment carrying and equipment operation of operators;
s34: and linking the bracelet position information with the video information to analyze the drilling process data and the key behavior characteristics.
Compared with the prior art, the invention has the following advantages:
(1) the method has the advantages that accurate acquisition and management of drilling process data are achieved, coordinate data, video data and voice data of drilling personnel are acquired in real time, multi-source detection data are stored in a database in a classified mode, a standardized interface is provided for the data, and an efficient data calling mode is provided for data analysis, fusion matching and application.
(2) The method comprises the steps of realizing the construction of an evaluation method system and an evaluation standard, constructing an emergency drilling behavior feature library and quantifying the evaluation standard through a multi-source data detection and analysis technology, realizing the grading of drilling execution conditions with significant differences and the conversion of normal scores based on a large amount of drilling data, and providing a scientific method for the combination of the universality of the evaluation method and the flexibility of the evaluation standard.
(3) The automatic scoring and evaluating system meeting production requirements is realized, the drilling execution condition and the evaluation analysis are automatically generated according to the matching of the behavior analysis, the scoring standard and the safety behavior theory, the evaluation result difference caused by subjective factors of evaluators is reduced, the human resource consumption is reduced, the drilling evaluation efficiency is improved, and effective technical means are provided for improving the emergency handling capability of the drilling personnel and perfecting the emergency plan.
(4) The system realizes linkage and system function expansion with other service systems of the station, realizes cooperative management between man-machine-ring in the station by combining facility equipment positioning, passenger flow detection and station environment control detection service systems, improves station operation management efficiency and passenger service level, and fully ensures safe and efficient operation of a rail transit system.
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The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and together with the description serve to explain the principles of the invention. Other embodiments and many of the intended advantages of embodiments will be readily appreciated as they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. Like reference numerals designate corresponding similar parts.
Fig. 1 is an architecture diagram of an intelligent detection and evaluation system for rail transit station emergency drilling information according to an embodiment of the invention;
fig. 2 is a schematic diagram of an intelligent detection and evaluation method for rail transit station emergency drilling information according to an embodiment of the invention;
fig. 3 is a flowchart of an intelligent detection and evaluation method for rail transit station emergency drilling information according to an embodiment of the invention.
Detailed Description
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. In this regard, directional terminology, such as "top," "bottom," "left," "right," "up," "down," etc., is used with reference to the orientation of the figures being described. Because components of embodiments can be positioned in a number of different orientations, the directional terminology is used for purposes of illustration and is in no way limiting. It is to be understood that other embodiments may be utilized and logical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
Fig. 1 is a diagram showing the construction of an intelligent detection and evaluation system for emergency drilling information of a rail transit station.
The intelligent detection and evaluation system for the rail transit station emergency drilling information comprises an online detection module, a system configuration module, a data analysis module, a system scoring module and an evaluation and analysis module. The online detection module, online detection module gathers the multisource detection data of check out test set under the rehearsal scene to multisource detection data storage to the system configuration module of gathering, wherein, multisource detection data include: positioning coordinates, video images and voice communication data; the system configuration module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and performing data interaction with the data analysis module, the system scoring module and the evaluation analysis module for data storage, data matching, data calling and data updating; the data analysis module analyzes the drilling process data and the key behavior characteristics based on the multi-source detection data and the drilling scene configuration data, transmits the drilling process analysis data to the system configuration module and transmits the key behavior characteristics to the system scoring module; the system scoring module is used for matching and resolving a rehearsal original score based on the weight assignment standard obtained from the system configuration module and the key behavior characteristics obtained from the data analysis module, converting the original score into a normal score based on historical data obtained from the system configuration module, and transmitting the original score and the normal score to the system configuration module; and the evaluation analysis module is used for obtaining a drilling evaluation result and evaluation analysis based on the original score and the normal score provided by the system scoring module and the drilling process data and the weight assignment standard provided by the system configuration module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage.
In a specific embodiment, the online detection module provides multi-source detection data for the data analysis module to realize data analysis, provides storage data for the system configuration module, and provides data calling for the drilling evaluation analysis module; the system configuration module provides positioning and video linkage signals for the online detection module, provides a drilling scene for the data analysis module, provides a scoring standard for the system scoring module, and provides drilling process data and an evaluation analysis result for the evaluation analysis module; the data analysis module is used for analyzing the drilling process data according to the multi-source detection data transmitted by the online detection module and transmitting the analyzed drilling key behavior characteristics to the system scoring module; the method comprises the following steps of calling a camera at a corresponding position in a linkage manner according to positioning data of a drilling person and an online detection module to acquire video image data of the drilling person; and providing real-time warning for the non-standard behavior characteristics of the drilling personnel according to the drilling scenes provided by the system configuration module. The system scoring module scores the key behavior characteristic data of the drilling personnel provided by the data analysis module according to the weight assignment standard provided by the system configuration module and according to whether the drilling behavior is executed and the execution time; and the original score is transmitted to a system configuration module, the original score is converted into a normal score according to a large amount of historical data in the configuration module, and the original score or the normal score is transmitted to an evaluation analysis module. The evaluation analysis module is respectively matched with the grading grade stored in the database, the safety behavior analysis and the evaluation analysis according to the drilling score provided by the system scoring module and the drilling time consumption, the drilling key flow and the error summary data provided by the system configuration module, and outputs the contents of comprehensive evaluation, safety behavior analysis and the like and transmits the contents back to the system configuration module.
In a specific embodiment, the online detection module is a main part for realizing intelligent detection and evaluation of information of the drilling personnel, and the detection equipment comprises a positioning bracelet, a positioning base station and a station camera, wherein the station camera collects video images, the positioning base station and the positioning bracelet collects positioning coordinates and voice communication data of the personnel and equipment. Firstly, the installation and layout process of the equipment is carried out, the positioning base station is installed at a platform, a station hall, a channel and the like, and the required positioning area is completely covered according to the layout of station facility equipment. Make the emergent rehearsal personnel in station wear the location bracelet at rehearsal in-process whole journey, the station camera uses existing camera as the main, can add high definition digtal camera in regions such as building staircase, platform, station room as required, and the guarantee can be shot the equipment that rehearsal personnel carry with equipment operation action. The positioning base station and the positioning bracelet realize data transmission through a UWB wireless real-time high-precision positioning technology, and the camera transmits the collected video images to a back-end system through a wired network. The online detection module stores the acquired data to the system configuration module and provides data such as positioning coordinates, video images, voice communication and the like for the data analysis module.
In a specific embodiment, the system configuration module comprises a database, a map engine and multi-source data matching software, is a key for realizing information fusion matching, and provides data storage, data matching and data calling for other modules. The database is used for receiving and storing multi-source detection data of the online detection module, and storing, reading and updating data among the data analysis module, the system scoring module and the evaluation analysis module, for example, the database receives and stores three-dimensional coordinate data, voice data and video data, and provides functions of data storage, reading and updating and the like for other business functions; the map engine is used for displaying the position information of personnel and equipment, displaying the real-time position of the personnel and the position information of facility equipment in a station map, and providing service support for distance measurement, trajectory analysis and the like; the multi-source data matching module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and linking with the online detection module to serve data acquisition of the online detection module, and the multi-source data matching software is used for generating the drilling scene according to drilling setting and generating a corresponding weight assignment standard and matching a video camera at a corresponding position according to positioning coordinates to realize video linkage.
In a specific embodiment, the data parsing module includes a positioning signal parsing engine, a video parsing engine, and a voice parsing engine, and is a core component for implementing the recognition and evaluation analysis of the drilling behavior. The positioning signal analysis engine is used for calculating real-time space three-dimensional coordinates of the positioning bracelet by calculating information such as signal distance difference between the positioning bracelet and each positioning base station so as to analyze the real-time positioning coordinates of the positioning bracelet; the video analysis engine acquires video images based on the station camera to analyze key behavior characteristics, and analyzes whether the drilling personnel carry complete equipment and operate facility equipment at a specified time through monitoring videos shot by the station camera; the voice analysis engine analyzes whether the drilling personnel correctly transmit the information or not through the voice data of the drilling personnel; the data analysis result provides the system configuration and scoring module with the record and matching of the drilling process data and the key behavior characteristic data.
In the embodiment, the system scoring module is composed of a multi-mode scoring engine, which is an important component for realizing the statistics and updating of the exercise result. The multi-mode scoring engine receives the drilling process data transmitted by the data analysis module and calculates the drilling original score by matching with the weight assignment standard stored in the database in the system configuration module; calculating a running position track standard score according to the path tortuosity of a drilling person according to the coordinate information of the current station key position; combining with system timing, counting task processing time and total consumed time of each stage, and calculating time score; calculating an information transmission score according to the matching degree of the keywords in the voice information; calculating equipment carrying and equipment operation values according to the video identification behavior detection and image identification information; converting the normal modulus score through the original data stored in the database; the scoring module transmits the original score and the normal score to the system configuration module to provide scoring data for the evaluation analysis module.
In a specific embodiment, the evaluation analysis module is composed of a drilling result analysis engine and a drilling automatic scoring engine, and is a terminal for realizing drilling result analysis and output display. The drilling result analysis engine analyzes and processes the drilling data and the safety behaviors stored by the system configuration module, the drilling automatic scoring engine matches the drilling analysis processing result with the weight assignment standard to obtain the scoring level and the safety behavior analysis and evaluation analysis of drilling personnel, reads the drilling normal-mode score and drilling error summary data, and jointly outputs and displays the data as personal drilling data to provide reference for safety management and related research; and transmitting analysis result data such as the grading level, the safety behavior and the like back to a database of the system configuration module for storage and updating.
As shown in fig. 2, on the other hand, the invention provides an intelligent detection and evaluation method for rail transit station emergency drilling information, which includes the following steps:
s1: generating a drilling scene and a weight assignment standard by configuration through a system configuration module;
s2: the method comprises the steps that multi-source detection data of detection equipment in a drilling scene are collected through an online detection module, and the collected multi-source detection data are stored in a system configuration module, wherein the multi-source detection data comprise positioning coordinates, video images and voice communication data, and the detection equipment comprises a positioning bracelet, a positioning base station and a station camera;
s3: analyzing the drilling process data and key behavior characteristics by a data analysis module through positioning track analysis, voice recognition and image recognition technologies, transmitting the drilling process data to a system configuration module, and transmitting the key behavior characteristics to a system scoring module;
s4: calculating a drilling original score through a system scoring module in a matching way, converting the original score into a normal score based on historical data obtained from a system configuration module, and transmitting the original score and the normal score to the system configuration module;
s5: and generating a drilling evaluation result and evaluation analysis through the original score, the normal mode score, the drilling process data and the weight assignment standard obtained by the evaluation analysis module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage and updating.
In a specific embodiment, S1 includes the following steps:
s11: inputting exercise subjects, emergency parameters and configuration information of exercise stations;
s12: generating a drilling scene according to the parameter information of the emergency and the map information matched with the drilling station;
s13: obtaining standard scores of various drilling links by adopting an analytic hierarchy process and a good-bad solution distance method;
s14: and matching the evaluation standard of the current drilling station according to the factors of the distance between the key positions, the drilling time requirement, the equipment operation requirement and the information transmission requirement based on the map information of the drilling station.
The system can input emergency events such as large passenger flows, fires, train faults and the like covered by the rail transit emergency plan and parameter information such as time and position of the emergency events according to the drilling requirements, selects an electronic map corresponding to the drilling station matching, and generates a drilling scene according to user selection information and configuration information stored by the system. The weight assignment standard obtains the standard score of each processing link by adopting an analytic hierarchy process and a good-bad solution distance process according to the emergency drilling execution condition corresponding to each emergency and the parameters thereof, and the weight assignment standard is matched with the assignment standard of the current station based on the electronic maps of different stations according to the factors such as the distance between key positions, the drilling time requirement, the equipment operation requirement and the information transmission requirement.
In a specific embodiment, S2 includes the following steps:
s21: voice communication data are collected based on a built-in voice sensor module in the positioning bracelet;
s22: acquiring motion trail information of the drilling personnel through a UWB positioning technology based on a positioning bracelet and a positioning base station to acquire positioning coordinates;
s23: based on a station camera to collect video images;
s24: and storing the voice communication data, the positioning coordinates and the video images to a system configuration module through a wired network.
The positioning bracelet is worn on the wrist of a drilling worker, the voice sensor module is used for acquiring the voice information of the drilling worker in real time, the UWB positioning technology is used for acquiring the motion track information of the drilling worker, and the motion track information is transmitted to the system configuration module; the high-definition camera is deployed at a station key position, collects the influence of station videos in real time and transmits the influence to the system configuration module through a wired network.
In a specific embodiment, S3 includes the following steps:
s31: the positioning bracelet analyzes bracelet position information through a UWB positioning technology and a TOA and TDOA mixed algorithm;
s32: the voice information is based on the key information of the voice recognition technology of the dynamic time adjustment algorithm;
s33: analyzing the field monitoring video by the video image information through a video identification technology by using a deep learning algorithm, and identifying information such as equipment carrying and equipment operation of operators;
s34: and linking the bracelet position information with the video information to analyze the drilling process data and the key behavior characteristics.
In the embodiment, in S4, a drill execution result and a drill evaluation analysis are generated according to the weight assignment criteria and the key behavior during the drill. Matching the emergency disposal behavior information of the drilling personnel analyzed by the positioning track analysis, the voice recognition and the image recognition technology with the weight assignment standard to obtain the original score of the execution condition of the drilling personnel; calculating the normal mode scores of each drilling link and the total scores through a large amount of historical drilling data and original scores stored in the system; calling a drilling execution result and displaying information such as drilling scores, drilling time consumption, drilling key processes, error summary and the like in a database; and calling and displaying the grading level, the safety behavior analysis and the evaluation analysis in the database by the drill evaluation analysis.
In the embodiment, the drilling configuration information, the weight assignment criteria, and the drilling process data are stored and updated in S5. And after the drilling is finished, storing key drilling data such as drilling scores and drilling time, storing drilling execution conditions and drilling evaluation analysis results corresponding to the drilling, and using the stored data for configuration updating after the system is started next time.
As shown in fig. 3, with the present detection and evaluation system, a drilling person logs in the system by inputting personal information such as name, job number, and age of the worker, and configures the system drilling scene parameter information as needed, thereby implementing a user information loading system. The system reads the information such as the user information, the model, the configuration and other drilling scenes stored in the database based on the authority corresponding to the personal information and the configured parameter information. And generating and initializing a drilling scene, such as a drilling event, an event parameter, a drilling mode, a drilling position and the like, which meet the requirements of the user according to the user information and the database data. And generating a drilling operation behavior weight assignment standard and a corresponding standard score according to the emergency plan, the drilling execution condition table and the historical drilling data based on the drilling situation selected by the drilling personnel.
After the system starts to drill, drilling personnel wear the positioning bracelet to execute a drilling task in a station environment, an operator system needing running position drilling starts to perform real-time positioning detection on the real-time position of the drilling personnel, and the operator system needing no running position drilling only starts video detection and voice detection to detect key behaviors of equipment carrying, equipment operation, information transmission and the like of the drilling personnel. If the real-time warning function of the system is started, the system can give out warning through the positioning bracelet when the operator generates irregular behaviors such as deviation from a drilling route, overtime treatment, omission of equipment operation and the like in the drilling process.
After the drilling is finished, the system outputs emergency drilling results such as drilling scores, drilling time consumption, drilling error summary and the like, and drilling evaluation analysis such as comprehensive evaluation of the drilling process, behavior analysis and evaluation analysis of drilling personnel and the like for the drilling and management personnel to use, and drilling process data and drilling result data are stored and updated to the database.
The system and the method realize accurate acquisition and management of drilling process data, acquire coordinate data, video data and voice data of drilling personnel in real time, store multi-source detection data to a database in a classified manner, provide a standardized interface for the data, and provide an efficient data calling mode for data analysis, fusion matching and application. The method comprises the steps of realizing the construction of an evaluation method system and an evaluation standard, constructing an emergency drilling behavior feature library and quantifying the evaluation standard through a multi-source data detection and analysis technology, realizing the grading of drilling execution conditions with significant differences and the conversion of normal scores based on a large amount of drilling data, and providing a scientific method for the combination of the universality of the evaluation method and the flexibility of the evaluation standard. The automatic scoring and evaluating system meeting production requirements is realized, drilling execution conditions and evaluation analysis are automatically generated according to the matching of behavior analysis, weight assignment standards and safety behavior theories, evaluation result differences caused by subjective factors of evaluators are reduced, human resource consumption is reduced, drilling evaluation efficiency is improved, and effective technical means are provided for improving emergency handling capacity of the drills and perfecting emergency plans. The system realizes linkage and system function expansion with other service systems of the station, realizes cooperative management between man-machine-ring in the station by combining facility equipment positioning, passenger flow detection and station environment control detection service systems, improves station operation management efficiency and passenger service level, and fully ensures safe and efficient operation of a rail transit system.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. Emergent rehearsal information intelligent detection evaluation system in track traffic station, its characterized in that includes:
the online detection module, online detection module gathers the multisource detection data of check out test set under the rehearsal scene to multisource detection data storage to the system configuration module of gathering, wherein, multisource detection data include: positioning coordinates, video images and voice communication data;
the system configuration module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and performing data interaction with the data analysis module, the system scoring module and the evaluation analysis module for data storage, data matching, data calling and data updating;
the data analysis module analyzes the drilling process data and the key behavior characteristics based on the multi-source detection data and the drilling scene configuration data, transmits the drilling process data to the system configuration module and transmits the key behavior characteristics to the system scoring module;
the system scoring module is used for matching and resolving a rehearsal original score based on the weight assignment standard obtained from the system configuration module and the key behavior characteristics obtained from the data analysis module, converting the original score into a normal score based on historical data obtained from the system configuration module, and transmitting the original score and the normal score to the system configuration module;
and the evaluation analysis module is used for obtaining a drilling evaluation result and evaluation analysis based on the original score and the normal score provided by the system scoring module and the drilling process data and the weight assignment standard provided by the system configuration module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage.
2. The intelligent detection and evaluation system for emergency drilling information of rail transit stations as claimed in claim 1, wherein the detection device comprises a positioning bracelet, a positioning base station and a station camera, the station camera collects video images, and the positioning base station and the positioning bracelet collect positioning coordinates and voice communication data of personnel and equipment.
3. The intelligent detection and evaluation system for emergency drilling information of rail transit station as claimed in claim 1, wherein the system configuration module comprises:
the database is used for receiving and storing the multi-source detection data of the online detection module, and storing, reading and updating data among the data analysis module, the system scoring module and the evaluation analysis module;
a map engine to display location information of people and devices;
the multi-source data matching module is used for configuring and generating a drilling scene based on drilling scene configuration data, configuring and generating a weight assignment standard based on an emergency plan standard, and linking with the online detection module through signals to serve data acquisition of the online detection module.
4. The intelligent rail transit station emergency drilling information detection and evaluation system according to claim 2, wherein the data analysis module comprises a positioning signal analysis engine, a video analysis engine and a voice analysis engine, the positioning signal analysis engine analyzes real-time positioning coordinates of a positioning bracelet based on a distance difference between the positioning bracelet and a positioning base station, the video analysis engine collects video images based on a station camera to analyze key behavior characteristics, and the voice analysis engine analyzes voice data based on voice communication data collected by the positioning bracelet.
5. The intelligent detection and evaluation system for emergency drilling information of rail transit stations as claimed in claim 2, wherein the system scoring module comprises a multi-mode scoring engine.
6. The intelligent detection and evaluation system for emergency drilling information at rail transit stations as claimed in claim 2, wherein the evaluation and analysis module comprises a drilling result analysis engine and a drilling automatic scoring engine, and the drilling result analysis engine performs analysis based on drilling process data stored by the system configuration module; and the drilling automatic scoring engine is used for matching the data analyzed by the drilling result analysis engine with the weight assignment standard so as to obtain a drilling evaluation result and evaluation analysis.
7. The intelligent detection and evaluation method for the emergency drilling information of the rail transit station is characterized by comprising the following steps of:
s1: generating a drilling scene and a weight assignment standard by configuration through a system configuration module;
s2: the method comprises the steps that multi-source detection data of detection equipment in a drilling scene are collected through an online detection module, and the collected multi-source detection data are stored in a system configuration module, wherein the multi-source detection data comprise positioning coordinates, video images and voice communication data, and the detection equipment comprises a positioning bracelet, a positioning base station and a station camera;
s3: analyzing the drilling process data and key behavior characteristics by a data analysis module through positioning track analysis, voice recognition and image recognition technologies, transmitting the drilling process data to a system configuration module, and transmitting the key behavior characteristics to a system scoring module;
s4: calculating a drilling original score through a system scoring module in a matching way, converting the original score into a normal score based on historical data obtained from a system configuration module, and transmitting the original score and the normal score to the system configuration module;
s5: and generating a drilling evaluation result and evaluation analysis through the original score, the normal mode score, the drilling process data and the weight assignment standard obtained by the evaluation analysis module, and transmitting the drilling evaluation result and the evaluation analysis to the system configuration module for storage and updating.
8. The intelligent detection and evaluation method for emergency drilling information at rail transit stations as claimed in claim 7, wherein said S1 comprises the following steps:
s11: inputting exercise subjects, emergency parameters and configuration information of exercise stations;
s12: generating a drilling scene according to the parameter information of the emergency and the map information matched with the drilling station;
s13: obtaining standard scores of various drilling links by adopting an analytic hierarchy process and a good-bad solution distance method;
s14: and matching the evaluation standard of the current drilling station according to the factors of the distance between the key positions, the drilling time requirement, the equipment operation requirement and the information transmission requirement based on the map information of the drilling station.
9. The intelligent detection and evaluation method for emergency drilling information at rail transit stations as claimed in claim 7, wherein said S2 comprises the following steps:
s21: voice communication data are collected based on a built-in voice sensor module in the positioning bracelet;
s22: acquiring motion trail information of the drilling personnel through a UWB positioning technology based on a positioning bracelet and a positioning base station to acquire positioning coordinates;
s23: based on a station camera to collect video images;
s24: and storing the voice communication data, the positioning coordinates and the video images to a system configuration module through a wired network.
10. The intelligent detection and evaluation method for emergency drilling information at rail transit stations as claimed in claim 7, wherein said S3 comprises the following steps:
s31: the positioning bracelet analyzes bracelet position information through a UWB positioning technology and a TOA and TDOA mixed algorithm;
s32: the voice information is based on the key information of the voice recognition technology of the dynamic time adjustment algorithm;
s33: analyzing the field monitoring video by the video image information through a video identification technology by using a deep learning algorithm, and identifying information such as equipment carrying and equipment operation of operators;
s34: and linking the bracelet position information with the video information to analyze the drilling process data and the key behavior characteristics.
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