CN115802309A - Electromagnetic radiation early warning method and system for rail transit of suspension type maglev train - Google Patents
Electromagnetic radiation early warning method and system for rail transit of suspension type maglev train Download PDFInfo
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Abstract
The invention belongs to the technical field of electromagnetic radiation monitoring, and particularly provides a suspension type magnetic-levitation train rail transit electromagnetic radiation early warning method and system, wherein the method comprises the following steps: arranging a plurality of sensors along a train track and forming a plurality of wireless network nodes; the sink node receives the electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to the remote control center according to a specified format; the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm; and when the electromagnetic radiation is predicted to exceed the safety threshold, a danger alarm is sent out and the position of the danger source is prompted. The scheme improves the electromagnetic radiation real-time monitoring and collecting technology for the suspension type permanent magnetic-levitation train, and realizes all-weather, all-train-track and all-directional electromagnetic radiation monitoring of the train through the wireless sensor network monitoring module; and the early warning is carried out through remote analysis, so that the safety of personnel is guaranteed.
Description
Technical Field
The invention relates to the technical field of electromagnetic radiation monitoring, in particular to a suspension type magnetic-levitation train rail transit electromagnetic radiation early warning method and system.
Background
Along with the rapid development of urbanization, people have more and more shortcuts when going out, various magnetic suspension train track traffics are more popular among groups because of high efficiency, intelligence and environmental protection, suspension type magnetic suspension train track traffic systems also have strong electromagnetic radiation because of complex structures and special materials, complicated and complicated various electromagnetic environments and the existence of high-frequency signals such as 5G, and the traditional electromagnetic radiation monitoring system cannot meet the monitoring requirements of the train track traffic system. In order to effectively monitor the electromagnetic energy of the magnetic-levitation train track traffic system, the problems of the arrangement of multiple sensors, data transmission, data processing, positioning and alarming devices need to be solved, so as to realize the continuous and omnibearing acquisition of electromagnetic radiation signals of the magnetic-levitation train track traffic system.
Wireless Sensor Network (WSN) monitoring system comprises a large amount of Wireless Network node clusters, every WSN node cluster comprises a plurality of Wireless Network node and a convergent node, and every Wireless Network node all is furnished with electromagnetic radiation Sensor and positioner (the big dipper satellite navigation system in China, the BDS module), can monitor the regional magnetic field intensity of node place in succession, electric field intensity and other information, and utilize 5G Wireless transmission mode to send monitoring data to convergent node, in convergent node, carry out analysis fusion processing to multisensor data, in order to obtain more target information, it is simple to have the overall arrangement equipment, advantages such as convenient and simple Network deployment. In order to ensure the health of people, a system capable of rapidly and comprehensively knowing the electromagnetic radiation condition of the whole system is urgently needed so as to provide a safe riding environment for national environmental protection departments and passengers.
Disclosure of Invention
The invention aims at the technical problem that the electromagnetic radiation of the magnetic suspension train track is difficult to monitor in the prior art.
The invention provides a suspension type magnetic-levitation train track traffic electromagnetic radiation early warning method, which comprises the following steps:
s1, arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and acquiring electromagnetic radiation information and position information of a train and a traffic system in real time;
s2, the sink node receives electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to a remote control center according to a specified format;
s3, the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm;
and S4, when the electromagnetic radiation is predicted to exceed the safety threshold, sending a danger alarm and prompting the position of a danger source.
Preferably, the S1 further includes: when the wireless network node finishes one acquisition work, the data is packed and sent to the sink node according to a specified mode, and then the data acquisition is continued.
Preferably, the S2 specifically includes: the sink node packs the information of a plurality of wireless network nodes in the same area and then transmits the information to the remote control center according to a specified format.
Preferably, the electromagnetic radiation information comprises an electrostatic field of 0-300Hz, a very low frequency electromagnetic field of 0-300Hz, a medium frequency electromagnetic field of 300Hz-10MHz, and electromagnetic radiation in a radio frequency range of 10MHz-300 GHz.
Preferably, the S1 specifically includes:
the method comprises the steps that a train track is segmented, sensors are arranged according to segments, communication is carried out between wireless network nodes, and the wireless network nodes and a sink node in a multi-hop network mode, when a train is about to leave the train track of the segment, a control module in a WSN communication module of the train immediately transmits signals to a wireless network node communication module on the train track of the lower segment, and a new wireless network is requested to be formed.
Preferably, the S2 specifically includes: and testing whether the sink node can work normally or not and testing whether the communication can work normally or not.
Preferably, the S2 specifically includes:
the sink node adopts two power supply modes of a power supply internal power supply and an external charging circuit, can control and select the external charging mode to supply power under normal conditions, and is switched into the internal power supply to automatically supply power when the external power fails suddenly or has an emergency temporarily.
The invention also provides a suspension type maglev train track traffic electromagnetic radiation early warning system, which is used for realizing the suspension type maglev train track traffic electromagnetic radiation early warning method and comprises the following steps:
the sensor laying module is used for laying a plurality of sensors along a train track to form a plurality of wireless network nodes and collecting electromagnetic radiation information and position information of a train and a traffic system in real time;
the sink node module is used for receiving the electromagnetic radiation data of the wireless network node, processing the electromagnetic radiation data and transmitting the processed electromagnetic radiation data to the remote control center according to a specified format;
the remote control center is used for establishing a mathematical model by the remote control center through deep learning of the electromagnetic radiation data, and predicting and positioning the electromagnetic radiation change of the train by combining a genetic algorithm;
and the early warning module is used for sending out a danger alarm and prompting the position of the danger source when the electromagnetic radiation is predicted to exceed the safety threshold.
The invention also provides electronic equipment which comprises a memory and a processor, wherein the processor is used for realizing the steps of the electromagnetic radiation early warning method for the rail transit of the suspension type magnetic-levitation train when executing the computer management program stored in the memory.
The invention also provides a computer readable storage medium, on which a computer management program is stored, wherein the computer management program realizes the steps of the electromagnetic radiation early warning method for the rail transit of the suspension type magnetic-levitation train when being executed by the processor.
Has the advantages that: the invention provides a suspension type magnetic-levitation train rail transit electromagnetic radiation early warning method and a suspension type magnetic-levitation train rail transit electromagnetic radiation early warning system, wherein the method comprises the following steps: the method comprises the following steps of arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and collecting electromagnetic radiation information and position information of a train and a traffic system in real time; the sink node receives the electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to the remote control center according to a specified format; the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm; and when the electromagnetic radiation is predicted to exceed the safety threshold, a danger alarm is sent out and the position of the danger source is prompted. The scheme perfects the electromagnetic radiation real-time monitoring and acquisition technology for the suspension type permanent magnetic-levitation train, and realizes all-weather, all-train track and all-directional electromagnetic radiation monitoring of the train through the wireless sensor network monitoring module; and the early warning is carried out through remote analysis, so that the safety of personnel is guaranteed.
Drawings
Fig. 1 is a flow chart of an electromagnetic radiation early warning method for track traffic of a suspension type magnetic-levitation train provided by the invention;
fig. 2 is a schematic diagram of a hardware structure of a possible electronic device provided in the present invention;
FIG. 3 is a schematic diagram of a hardware structure of a possible computer-readable storage medium provided by the present invention;
FIG. 4 is a diagram of a suspension type magnetic-levitation train track traffic electromagnetic radiation early warning system provided by the present invention;
fig. 5 is a schematic diagram of a wireless network node free networking provided by the present invention.
Detailed Description
The following detailed description of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
As shown in fig. 1, fig. 4 and fig. 5, the suspension type magnetic-levitation train rail transit electromagnetic radiation early warning method provided by the invention comprises the following steps:
the method comprises the following steps of S1, arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and collecting electromagnetic radiation information and position information of a train and a traffic system in real time;
s2, the sink node receives electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to a remote control center according to a specified format;
s3, the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm;
and S4, when the electromagnetic radiation is predicted to exceed the safety threshold, a danger alarm is sent out and the position of a danger source is prompted.
Firstly, a wireless sensor network monitoring module is subjected to acquisition testing, and whether each wireless network node can work normally is verified. According to the arrangement of the wireless network node module to the electromagnetic radiation sensor module, the antenna module, the microcontroller module, the communication module, the positioning module, the digital display device and the power supply module, the electromagnetic radiation sensor probes with different frequencies are respectively placed at different positions by combining the structure, equipment layout and circuit design of the permanent magnetic suspension train track traffic system, and meanwhile, the antenna module is installed at a specified position.
The electromagnetic radiation sensor module and the antenna module are arranged on two sides of a train track overhead beam and outside and inside a carriage of a permanent magnetic-levitation train according to the working space of the system, form a wireless network in a free networking mode, and sense, acquire and process the electromagnetic radiation information in the acquired network coverage area range in real time in a mutual cooperation mode;
when the train runs through each section of train track, the WSN communication modules at the top and front and back of the train establish a connection relationship with the communication modules of the wireless network nodes at the train track position of the current train, and form a wireless network through a self-organizing party, so as to complete the omnibearing collection of electromagnetic radiation of the permanent magnetic suspension train track traffic system at the current moment, and the communication is performed in the wireless sensor network, among the wireless network nodes, and between the wireless network nodes and the sink node in a multi-hop network manner. When the train is about to leave the train track, the control module in the train WSN communication module immediately transmits signals to the wireless network node communication module on the train track of the lower section to request to form a new wireless network for transmitting information.
When a train runs into a new train track section, the wireless network node can be guaranteed to uninterruptedly complete networking, the WSN communication modules behind the train are controlled to be disconnected with the train track to be passed through, the WSN communication modules in the middle and the back complete a networking task with the new train track section when the train is about to enter the new train track section in sequence, and the wireless network node can be guaranteed to complete all-weather and all-directional acquisition and monitoring tasks on electromagnetic radiation of a train track traffic system, and reference is made to fig. 5.
When the wireless network node finishes one acquisition, the data is packed and sent to the sink node according to a specified mode, and then the acquisition is continued, wherein the data sent by the wireless network node comprises electromagnetic radiation information, position information and the like of each wireless network node;
secondly, whether the sink node can work normally or not and whether the test is limited and the wireless communication can work normally or not are tested. When the sink node receives electromagnetic radiation data sent by a wireless network node in the network, the sink node firstly carries out corresponding data processing and then sends the data to a remote control center in a wireless network mode.
The system comprises a sink node, a power supply, a voltage stabilizing circuit, a charging circuit, a power supply detection circuit and the like, wherein the sink node adopts two power supply modes of an internal power supply and an external charging circuit, and consists of an intrinsic safety battery assembly, the voltage stabilizing circuit, the charging circuit, the power supply detection circuit and the like; meanwhile, when the power supply detection circuit finds that the internal power supply supplies power, the remote control center can send an alarm, and meanwhile, the positioning system is activated to report points, so that an operator is warned to timely maintain and find conditions;
it should be noted that the power supply of the wireless network node is the same as that of the sink node;
it should be noted that the sink node mainly adopts a wireless communication and optical fiber communication mode, and performs fast data information transmission in a wireless communication mode under normal conditions, and when the wireless communication cannot be used under severe conditions, the sink node automatically starts the optical fiber communication mode to perform data information transmission, so as to ensure the stable operation of the system and the normal monitoring and acquisition of electromagnetic radiation;
the method comprises the steps of utilizing deep learning target analysis detection to build a model framework through data acquisition monitoring software of a remote control center, setting a starting program, classifying and analyzing received acquired data, setting the starting program, continuously updating a data set, updating model setting, and classifying and storing the data according to frequency. After the data processing is finished, the data packet is sent to an electromagnetic radiation analysis processing module according to a specified format, the electromagnetic radiation change trend of the train of one to two days in the future is predicted and multi-target positioned according to the established mathematical model and a genetic algorithm, and the predicted data and the processed data are stored in a corresponding database according to the specified format.
If the electromagnetic radiation energy exceeds the set standard value and the predicted value exceeds the specified standard value in the received collected data during analysis and processing, the early warning module is linked to send warning information, red flicker display is carried out on a warning electromagnetic radiation value area, and meanwhile positioning information of a target to which the electromagnetic radiation energy value at the position is triggered, so that operators can check analysis reasons and check a permanent magnetic suspension train track traffic system in time; meanwhile, if the predicted electromagnetic radiation change trend shows that the electromagnetic radiation energy exceeds a set standard value, warning information is given to remind an operator of paying attention to the electromagnetic radiation change in two days later, and abnormal conditions are prevented;
an operation user can register an account through the data acquisition monitoring software, so that the electromagnetic radiation change of the train track traffic system can be checked in time, and meanwhile, the condition that new equipment data is lost in different places can be effectively prevented when an emergency occurs, and historical data in the storage module can be called; in addition, the data change of each node can be monitored in real time through data acquisition monitoring software, whether the electromagnetic radiation value of each position of the train rail transit system is normal or not can be monitored, whether the electromagnetic radiation value is below a set standard or not can be monitored, if the electromagnetic radiation value exceeds the set standard, an alarm can be given, meanwhile, the positioning module is linked, the electromagnetic radiation abnormality of the position of the node is displayed, and timely processing is facilitated.
It should be noted that, in the invention, all modules are linked with each other and work jointly in a mutual correlation manner, and the invention designs a continuous, omnibearing, multi-target and all-weather real-time monitoring and collecting platform capable of monitoring and collecting electromagnetic energy of a permanent magnetic-levitation train and a traffic system, and provides an invention support for the development of a suspended permanent magnetic-levitation train track traffic system.
The wireless network node comprises a sensor module, an antenna module, a remote control center, a communication module, a positioning module, a digital display device and a power supply module. The wireless sensor network monitoring module is configured with any 3-dimensional omnidirectional probe with different frequencies, comprises an electric field sensor probe, a magnetic field sensor probe, an electric field-magnetic field sensor probe and a digital-to-analog conversion function module, covers an electrostatic field of 0-300Hz, an extremely-low frequency electromagnetic field, a medium frequency electromagnetic field of 300Hz-10MHz and radio frequency electromagnetic radiation of 10MHz-300GHz, and can cover the frequency range from power frequency to microwave radiation; the antenna module mainly aims at high-frequency electromagnetic energy, converts and collects the electromagnetic energy in space and comprises an antenna group with the covering frequency of 10MHz-300 GHz.
The remote control center comprises a central processing unit, a memory, an embedded operating system and the like, is the core of the wireless network node, and is mainly responsible for controlling the work of each sensor, the work of the antenna group, carrying out necessary data processing on the monitored and collected data, executing a high-level network protocol, controlling the working mode of a power supply and the like; the communication module comprises a radio frequency communication module, a 5G communication module and an optical fiber communication module and is mainly responsible for transmitting the collected data to a remote control center.
The positioning module comprises a Chinese Beidou navigation system (BDS module) and is mainly used for marking data acquired at each wireless network node, and when the acquired electromagnetic radiation value exceeds a certain standard, the positioning module can position the corresponding wireless network node according to the position information of the target to which the acquired data corresponds, so that an operator can quickly position the abnormal position of the electromagnetic radiation, and quickly take countermeasures; the power module is connected with the equipment and supplies power.
In a preferable scheme, the main working surface space of the system is long and narrow and meanders, is positioned in the air, and is in a dangerous and complex electromagnetic environment of strong magnetism and strong electricity.
In the preferable scheme, the wireless network nodes are mainly distributed in the train track overbeam and used for collecting the external electromagnetic radiation energy and the internal electromagnetic radiation energy of the train track traffic system, and a small part of the wireless network nodes are distributed inside and outside a train carriage and used for collecting the electromagnetic radiation energy inside and outside the train carriage.
In the preferred scheme, the wireless network nodes form a wireless network in a self-organizing way, the collected electromagnetic radiation signals in the network coverage area range are sensed, collected and processed in a mutual cooperation way in real time, multi-hop network ways are adopted for communication in the wireless sensor network, among the wireless network nodes and between the wireless network nodes and the sink nodes, and the monitoring information in the whole monitoring area is transmitted to the remote control center. And multiple convergent nodes are adopted to divide the WSN in the working surface of the system into multiple sections along the permanent magnetic-levitation train track, so that the energy consumption of wireless network nodes is reduced, the density of the wireless network nodes is increased, and the survivability of the system is improved.
In a preferred scheme, the electromagnetic radiation sensor module is mainly used for collecting and monitoring electric field, magnetic field and electric-magnetic field electric radiation data of a permanent magnetic-levitation train and the periphery thereof in an environment; the antenna module group is used for supplementing data acquired by the high-frequency module of the electromagnetic radiation sensor, providing different antenna calibration factors to a remote control center according to different frequencies, and calculating and analyzing the acquired electromagnetic energy signals in the space of the train rail transit system; the data conversion function module, the communication module and the BDS module are connected to the remote control center, the communication module mainly realizes wireless communication among wireless network nodes, and the permanent magnetic levitation train and the electromagnetic radiation field intensity around the permanent magnetic levitation train are orderly monitored according to instructions of the remote control center.
The sink node mainly receives data transmitted by the wireless network node, performs necessary processing on the received data and transmits the processed data to the remote control center, and mainly comprises a processor, a radio frequency communication module, a digital display device, a data storage module, a wired and wireless communication module, a positioning system, a power supply and other circuits.
According to the preferable scheme, the number of the convergent nodes is determined according to the length of the train track of the permanent magnetic-levitation train, the number of the convergent nodes is the same as the number of segments of the permanent magnetic-levitation train track, and the convergent nodes are divided into 2 kilometers for the length of the train track of the current test line and arranged on two sides of the overbeam of the train track.
In the preferable scheme, the sink node needs to perform a large amount of data processing, communication protocol conversion and other work, so the processor adopts a high-performance ARM processor STM32F429IIT6 with a 32-bit Cortex-M4 inner core with strong calculation capability, and the highest working frequency can reach 144Hz; the data storage module adopts an SD card as a nonvolatile memory for storing electromagnetic radiation data and working parameters, and data transmission is carried out between the memory and the processor in an SPI mode, so that the highest speed can reach 18Mbps; the wired and wireless communication module adopts four communication modes of RS485 communication, CAN communication, 5G communication and optical fiber communication according to the condition of the working environment; the power supply adopts a mode of an internal power supply and an external charging circuit, consists of an intrinsic safety battery assembly, a voltage stabilizing circuit, a charging circuit, a power supply detection circuit and the like, and is mainly used for ensuring that the system can normally operate under sudden faults and special severe conditions;
the 5G communication module comprises a 5G base station module and a wireless and limited communication module; it should be noted that the 5G base station module is installed along the track line of the train running of the suspension type permanent magnetic levitation train; the wireless and wired communication module comprises a WSN communication module, a wireless and wired communication module, a processor and a controller; it should be noted that, the WSN communication module is connected to the controller, and ensures normal communication between each wireless network node and the sink node; the WSN communication module is arranged at the top of each carriage of the suspension type permanent magnetic-levitation train and at the front position and the rear position of each section of train track and is used for providing stable wireless communication signals for the system, ensuring the stable communication inside and outside the carriages of the permanent magnetic-levitation train and ensuring the normal and stable network communication of the system; the controller is connected with the processor, and the processor is connected with the remote control center;
it should be noted that, the 5G base station is connected with the optical fiber through the external ethernet, which ensures the wireless and wired communication transmission work of the system; the wireless and wired communication guarantee unit obtains the current position of the train through the processor and the remote control center, the controller controls the WSN communication module to select a base station closest to the current position to be in communication connection with the WSN communication module according to the current position of the train, networking is carried out, electromagnetic radiation in the permanent magnetic-levitation train is collected, and therefore stability of system communication and stability of data transmission are guaranteed.
The remote control center mainly comprises two platforms of hardware and software, wherein the hardware platform comprises a PC (personal computer) and a processor which control the management center; it should be noted that the processor is the same as the processor in the 5G communication module; the processor adopts an ARM embedded development board, a BDS module on the ARM embedded development board is communicated with a Beidou satellite, a serial port is connected with a WSN wireless sensor network, and a 5G communication module is connected with running software on a PC (personal computer) in an optical fiber and Ethernet mode; the software platform comprises a program written and operated by a Linux platform on an ARM embedded development board and a data acquisition monitoring software program at a PC terminal.
It should be noted that, a program compiled and run by the Linux platform on the ARM embedded development board in the software platform is compiled by C language and is mainly used for ensuring normal communication of the wireless sensor network node, the sink node and the data acquisition monitoring software;
the data acquisition monitoring software at the PC terminal can monitor instructions sent by operators, process and analyze data acquired by each wireless network node and sink node module, perform classification statistics according to frequency and store the data.
The data acquisition monitoring software comprises a user information module, a node monitoring control module, a data processing module, an electromagnetic radiation analysis processing module, an early warning module and a positioning information module;
it should be noted that the user information module can register a new user, and edit and modify user login and user profile information, etc.; the node monitoring control module can control the disconnection and connection of each node, can read and display the real-time working state of each node, checks the condition of each node, and can display and randomly call the electromagnetic radiation data acquisition picture of each node and the sink node in real time.
The remote control center processes response data according to the data packet received by the wireless network node monitoring control module, then utilizes the deep learning target analysis detection invention to establish a mathematical model on the basis of massive training, continuously supplements and perfects a data set in a subsequent test, perfects the mathematical model, sends the processed data to the electromagnetic radiation analysis processing module according to a specified format, and can read historical data;
the remote control center can analyze the electromagnetic radiation of the permanent magnetic-levitation train track traffic system according to the received processed data, predict the electromagnetic radiation change trend of one or two days in the future according to the established mathematical model and by combining the genetic algorithm multi-target positioning and prediction invention, and store the predicted data and the processed data into a corresponding database according to a specified format.
If the remote control center analyzes the received data packet and finds that the electromagnetic radiation energy exceeds the formulated standard value and the predicted value exceeds the specified standard value, the remote control center can be linked with the early warning module to send out warning information, display the early warning value and trigger the positioning information of the electromagnetic radiation energy value at the position to the target, so that an operator can check the analysis reason in time and check the permanent magnet maglev train track traffic system.
As shown in fig. 4 and fig. 5, an embodiment of the present invention further provides a suspension type magnetic-levitation train track traffic electromagnetic radiation early warning system, where the system is used to implement the suspension type magnetic-levitation train track traffic electromagnetic radiation early warning method described above, and the method includes:
the sensor laying module is used for laying a plurality of sensors along a train track to form a plurality of wireless network nodes and collecting electromagnetic radiation information and position information of a train and a traffic system in real time;
the sink node module is used for receiving the electromagnetic radiation data of the wireless network node, processing the electromagnetic radiation data and transmitting the processed electromagnetic radiation data to the remote control center according to a specified format;
the remote control center is used for establishing a mathematical model for the electromagnetic radiation data through deep learning by the remote control center, and predicting and positioning the electromagnetic radiation change of the train by combining a genetic algorithm;
and the early warning module is used for sending out a danger alarm and prompting the position of the danger source when the electromagnetic radiation is predicted to exceed the safety threshold.
Fig. 2 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the invention. As shown in fig. 2, an embodiment of the present invention provides an electronic device, which includes a memory 1310, a processor 1320, and a computer program 1311 stored in the memory 1310 and operable on the processor 1320, where the processor 1320, when executing the computer program 1311, implements the following steps: s1, arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and acquiring electromagnetic radiation information and position information of a train and a traffic system in real time;
s2, the sink node receives electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to a remote control center according to a specified format;
s3, the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm;
and S4, when the electromagnetic radiation is predicted to exceed the safety threshold, sending a danger alarm and prompting the position of a danger source.
Please refer to fig. 3, which is a schematic diagram of an embodiment of a computer-readable storage medium according to the present invention. As shown in fig. 3, the present embodiment provides a computer-readable storage medium 1400, on which a computer program 1411 is stored, the computer program 1411 when executed by a processor implements the steps of: the method comprises the following steps of S1, arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and collecting electromagnetic radiation information and position information of a train and a traffic system in real time;
s2, the sink node receives electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to a remote control center according to a specified format;
s3, the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm;
and S4, when the electromagnetic radiation is predicted to exceed the safety threshold, sending a danger alarm and prompting the position of a danger source.
Has the beneficial effects that:
the invention perfects the invention for monitoring and collecting electromagnetic radiation of a suspension type permanent magnetic-levitation train in real time, and realizes all-weather, all-train track and all-directional electromagnetic radiation monitoring of the train through the wireless sensor network monitoring module;
according to the invention, the high-speed low-delay 5G communication is adopted, each sensor of the wireless sensor network platform can realize real-time online operation, the electromagnetic radiation change of a train system can be monitored in real time, data sharing to other platforms of the system can be realized quickly and timely, the co-operation of multiple platforms is realized, and the safe and stable operation of the train is ensured;
the invention adopts the wireless communication invention to carry out electromagnetic radiation data transmission, realizes the dynamic monitoring of electromagnetic radiation, and establishes an efficient and quick-response information platform for long-term dynamic real-time monitoring and early warning of a suspension type permanent magnetic suspension train track traffic system;
the invention adopts the wireless sensing network invention, adopts the multi-sensor arrangement and the free networking mode, and realizes the continuous, omnibearing, multi-target and all-weather real-time monitoring and acquisition and data transmission of the electromagnetic energy of the permanent magnetic-levitation train and the traffic system by the combination of the fixed node and the mobile node;
the method adopts a wireless network platform to directly connect a control management center, realizes the storage and analysis processing of the acquired data, then establishes a mathematical model through deep learning according to the electromagnetic radiation data monitored by the system, and predicts the electromagnetic radiation change of the train and positions multiple targets by combining a genetic algorithm.
The invention adopts a multi-band electromagnetic radiation sensor which comprises an electrostatic field of 0-300Hz, an extremely low frequency electromagnetic field, a medium frequency electromagnetic field of 300Hz-10MHz and electromagnetic radiation in a radio frequency range of 10MHz-300GHz, can acquire electromagnetic field signals of different frequency bands of a permanent magnetic-levitation train system, and can monitor the possible harm of electromagnetic radiation of different frequencies to human bodies in real time, thereby making corresponding protective measures to promote the development of a suspended permanent magnetic-levitation train.
The invention adopts the linkage of the matching of the alarm system and the positioning system, can monitor the electromagnetic radiation change at a certain position of the train in real time, sends out an alarm when the electromagnetic radiation change exceeds the national standard and approaches the limit range value of human body bearing, reports out the position where the electromagnetic field energy exceeds the calibration value, and timely detects and protects.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A suspension type magnetic-levitation train track traffic electromagnetic radiation early warning method is characterized by comprising the following steps:
s1, arranging a plurality of sensors along a train track to form a plurality of wireless network nodes, and acquiring electromagnetic radiation information and position information of a train and a traffic system in real time;
s2, the sink node receives electromagnetic radiation data of the wireless network node, processes the electromagnetic radiation data and transmits the processed electromagnetic radiation data to a remote control center according to a specified format;
s3, the remote control center establishes a mathematical model for the electromagnetic radiation data through deep learning, and predicts the electromagnetic radiation change of the train and positions a target by combining a genetic algorithm;
and S4, when the electromagnetic radiation is predicted to exceed the safety threshold, sending a danger alarm and prompting the position of a danger source.
2. The electromagnetic radiation early warning method for suspended magnetic-levitation train track traffic as recited in claim 1, wherein the S1 further comprises: when the wireless network node finishes one acquisition work, the data is packed and sent to the sink node according to a specified mode, and then the data acquisition is continued.
3. The electromagnetic radiation early warning method for the track traffic of the suspended magnetic-levitation train as recited in claim 1, wherein the S2 specifically comprises: the sink node packs the information of a plurality of wireless network nodes in the same area and then transmits the information to the remote control center according to a specified format.
4. The suspended magnetic-levitation train track traffic electromagnetic radiation early warning method as claimed in claim 1, wherein the electromagnetic radiation information comprises an electrostatic field of 0-300Hz, a very low frequency electromagnetic field of 0-300Hz, a medium frequency electromagnetic field of 300Hz-10MHz, and an electromagnetic radiation in a radio frequency range of 10MHz-300 GHz.
5. The electromagnetic radiation early warning method for the track traffic of the suspended magnetic-levitation train as recited in claim 1, wherein the S1 specifically comprises:
the method comprises the steps that a train track is segmented, sensors are arranged according to segments, communication is carried out between wireless network nodes, and the wireless network nodes and a sink node in a multi-hop network mode, when a train is about to leave the train track of the segment, a control module in a WSN communication module of the train immediately transmits signals to a wireless network node communication module on the train track of the lower segment, and a new wireless network is requested to be formed.
6. The electromagnetic radiation early warning method for the track traffic of the suspended magnetic-levitation train as recited in claim 1, wherein the S2 specifically comprises: and testing whether the sink node can work normally or not and testing whether the communication can work normally or not.
7. The electromagnetic radiation early warning method for the track traffic of the suspended magnetic-levitation train as recited in claim 1, wherein the S2 specifically comprises:
the sink node adopts two power supply modes of an internal power supply and an external charging circuit, the external charging mode can be controlled and selected to supply power under normal conditions, and when the outside is suddenly powered off or has an emergency temporarily, the internal power supply is switched to automatically supply power.
8. A suspension type maglev train rail transit electromagnetic radiation early warning system, which is used for realizing the suspension type maglev train rail transit electromagnetic radiation early warning method as claimed in any one of claims 1 to 7, and comprises the following steps:
the sensor laying module is used for laying a plurality of sensors along a train track to form a plurality of wireless network nodes and collecting electromagnetic radiation information and position information of a train and a traffic system in real time;
the sink node module is used for receiving the electromagnetic radiation data of the wireless network node, processing the electromagnetic radiation data and transmitting the processed electromagnetic radiation data to the remote control center according to a specified format;
the remote control center is used for establishing a mathematical model by the remote control center through deep learning of the electromagnetic radiation data, and predicting and positioning the electromagnetic radiation change of the train by combining a genetic algorithm;
and the early warning module is used for sending out a danger alarm and prompting the position of the danger source when the electromagnetic radiation is predicted to exceed the safety threshold.
9. An electronic device, comprising a memory and a processor, wherein the processor is used for implementing the steps of the electromagnetic radiation early warning method for the suspended magnetic train rail transit according to any one of claims 1 to 7 when executing a computer management program stored in the memory.
10. A computer-readable storage medium, characterized in that a computer management-like program is stored thereon, and when being executed by a processor, the computer management-like program implements the steps of the electromagnetic radiation early warning method for suspended magnetic-levitation train track traffic according to any of claims 1-7.
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| CN103105539A (en) * | 2013-01-08 | 2013-05-15 | 深圳市环境监测中心站 | System and method of monitoring electromagnetic radiation |
| CN205754885U (en) * | 2016-05-13 | 2016-11-30 | 东华理工大学 | A kind of radioprotective online auto monitoring device based on ZigBee wireless sensor network |
| CN112860658A (en) * | 2021-01-15 | 2021-05-28 | 北京交通大学 | High-speed train electromagnetic emission prediction method based on data mining |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103105539A (en) * | 2013-01-08 | 2013-05-15 | 深圳市环境监测中心站 | System and method of monitoring electromagnetic radiation |
| CN205754885U (en) * | 2016-05-13 | 2016-11-30 | 东华理工大学 | A kind of radioprotective online auto monitoring device based on ZigBee wireless sensor network |
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