CN111762229A - Method for supervising full life cycle of railway dangerous cargo transportation - Google Patents
Method for supervising full life cycle of railway dangerous cargo transportation Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0054—Train integrity supervision, e.g. end-of-train [EOT] devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a method for supervising the whole life cycle of railway dangerous goods transportation, wherein dangerous goods are loaded, corresponding detection devices are arranged in each carriage of a transport vehicle, a processor is arranged in a control room of the transport vehicle, a database and a data cache capable of storing data packets are arranged in the processor, the detection devices are used for detecting the state of the dangerous goods in the transportation process, and are coded, so that the dangerous goods correspond to the codes; the detection device transmits the detected data to the processor through the communication module, and the data are stored and analyzed by the processor and are compared with a set threshold value; and the processor stores the comparison result. The invention has the beneficial effects that: this scheme can realize carrying out real-time, on-line measuring at dangerous goods transportation's full life cycle, can in time know when some characteristic data change in order to do in response, provides the safety guarantee for dangerous goods passes through the railway transportation.
Description
Technical Field
The invention relates to the field of railway transportation, in particular to a method for supervising the whole life cycle of railway dangerous goods transportation.
Background
The railway logistics base mainly plays a role in cargo distribution and allocation in nationwide, regional and regional railway logistics node cities, is arranged in a transportation hub and a region with high and sufficient market demands, meets the cargo class and multi-mode intermodal demand, and has a logistics service function and a related matching service function. However, the aspects of data exchange, information sharing and repeated operation among related information systems of the railway logistics base still need to be perfected.
With the rapid development of the logistics industry at home and abroad, the transportation demand of dangerous goods in railway freight is gradually increased. The implementation information of goods is difficult to obtain when the railway freight car transports dangerous goods, and there are the monitoring blind area big, problem such as safe risk height. In case of the dangerous goods being out of control, serious influence can be caused.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a railway dangerous goods transportation full life cycle supervision method which is used for monitoring goods transported by a railway wagon in real time so as to be convenient for timely finding and processing when the goods are abnormal and ensure the safety of the transported goods.
The invention is realized by the following technical scheme: a method for supervising the whole life cycle of railway dangerous goods transportation comprises the following steps:
step S1: loading dangerous goods, arranging a corresponding detection device in each carriage of the transport vehicle, arranging a processor in a control room of the transport vehicle, arranging a database and a data cache capable of storing data packets in the processor, detecting the state of the dangerous goods in the transport process by using the detection device, and coding the detection device to enable the dangerous goods to correspond to the codes;
step S2: the detection device transmits the detected data to the processor through the communication module, and the data are stored and analyzed by the processor and are compared with a set threshold value;
step S3: and the processor stores the comparison result.
Further, in order to better implement the invention, the processor is arranged in a monitoring room of the railway transport vehicle.
Further, in order to better implement the present invention, the information detected by the detecting device includes pressure, temperature, detection time, and power supply line voltage.
Further, in order to better implement the present invention, the communication module transmits data once at a certain time interval.
Furthermore, in order to better implement the present invention, the dangerous goods are divided into a plurality of groups, the corresponding detection devices are also divided into a plurality of trunk groups, and the time points of the data transmission of the communication modules in different groups are staggered.
Furthermore, in order to better implement the invention, the codes corresponding to the detection devices for detecting the same type of state have at least one common point.
Furthermore, in order to better implement the present invention, when the detection device detects data abnormality, the detected data is immediately sent to the processor for processing.
Further, in order to better implement the invention, the code of the detection device is arranged corresponding to the carriage.
The carriage in be provided with the temperature control system who is used for the controlled temperature, temperature control system include coolant storage device and a plurality of and the solenoid valve of coolant storage device intercommunication, the solenoid valve be connected with the treater, the intercommunication of solenoid valve have the shower nozzle of different orientations.
Further, in order to better implement the invention, the processor is in communication connection with stations along the railway.
Further, in order to better implement the invention, the railway is divided into areas along sections, the central mileage positions of adjacent stations are taken as dividing points, and after a vehicle passes through one dividing point, the processor transmits the collected data to the station between the dividing point and the next dividing point.
The beneficial effect that this scheme obtained is:
this scheme can realize carrying out real-time, on-line measuring at dangerous cargo transportation's full life cycle, can in time know when some characteristic data change in order to respond, provides the safety guarantee for dangerous cargo passes through the railway transportation.
Drawings
FIG. 1 is a schematic structural diagram of the present embodiment;
FIG. 2 is a schematic diagram of a data packet transmission process;
FIG. 3 is a schematic diagram of a packet analysis process;
FIG. 4 is a schematic diagram of a monitoring system;
wherein 1-processor, 2-dangerous goods, 3-detection device.
Detailed Description
The present invention will be described in further detail with reference to examples, but the embodiments of the present invention are not limited thereto.
Example 1:
as shown in fig. 1 and fig. 2, in this embodiment, a method for supervising a life cycle of railway transportation of dangerous goods includes the following steps:
step S1: the dangerous goods 2 are loaded, corresponding detection devices 3 are arranged in each carriage of the transport vehicle, a processor 1 is arranged in a control room of the transport vehicle, a database and a data cache capable of storing data packets are arranged in the processor 1, states of the dangerous goods 2 in the transport process are detected by the detection devices 3, the detection devices 3 are coded, and the dangerous goods 2 correspond to the codes.
The number of the data packets capable of being cached in the data cache is set according to the number of the truck sections and the type of the detection device 3, and the number of the data packets is equal to the product of the number of the truck sections and the type of the detection device 3, so that the phenomenon that too many cached data packets occupy too much memory is avoided.
Step S2: the detection device 3 transmits the detected data to the processor 1 through the communication module, and the processor 1 stores and analyzes the data and compares the data with a set threshold value. Utilize treater 1 control detection device 3 to start, detection device 3 real-time detection data, after certain time interval, detection device 3 sends treater 1 through communication module after forming the data packet with the data packing that detects, the data packet caches in treater 1, treater 1 reads in the data packet detection device 3's code and timestamp, if find timestamp and code and the data packet that has handled the same, then delete this data packet, if different, then handle it, through making the detection data in the data packet and comparing with the threshold value of settlement, judge whether the state of dangerous goods 2 is unusual.
Step S3: after the processor 1 processes the cached data packet, the cached data packet and the comparison result are stored in the database.
The database provides functions of storing data, inquiring data, exporting data and the like.
This scheme can realize carrying out real time monitoring and detecting dangerous goods 2's state to dangerous goods 2 at the in-process of railway transportation, can in time master whether unusual change appears in dangerous goods 2, is favorable to carrying out effectual protection, the safety of guarantee transportation at the in-process of dangerous goods 2 transportation.
In this embodiment, the database may also be used to store information such as a storage location before loading the dangerous goods 2, a total amount of storage, a loading time, a station number, a delivery type, a filling type, a transportation route, a total tonnage, a total vehicle number, a specific classified tonnage of dangerous goods, a vehicle number, and an operator.
In this embodiment, the detection device further includes a camera device, the camera device is connected to the processor 1, and an additional database is provided in the processor 1 so as to store data generated by the camera device.
Example 2:
on the basis of the above embodiment, in this embodiment, the wireless detection device 3 is adopted as the detection device 3, and the wireless detection device 3 is connected to the wireless communication module, so that the wireless communication module is in wireless communication connection with the processor 1. Utilize wireless detection device 3 to make detection device 3 keep the contact with dangerous goods 2 in dangerous goods 2 warehousing, warehouse-out, transport, freight transportation etc. in-process to can detect dangerous goods 2's characteristic data at whole in-process, make dangerous goods 2 some characteristic data also can be monitored at the in-process that shifts, loading and unloading, thereby ensure dangerous goods 2 and shift, the safety of the in-process of loading and unloading. So as to avoid the increase of workload and the confusion of detection data caused by repeatedly disassembling and assembling the detection device 3.
Example 3:
on the basis of the above embodiment, in this embodiment, the database is provided with a correspondence table of codes of the detection devices 3, types of dangerous goods 2, and corresponding vehicles.
The vehicle is labeled A, B, C, D … … according to the number of nodes;
the dangerous goods 2 are marked as a, b, c, d … … according to the different types;
the detection device 3 is marked as 001, 002 and 003 … … according to the detected parameters;
for the specific detection device 3 on the vehicle, for example, for the transportation of c dangerous goods 2 on a B-section vehicle, two kinds of data need to be detected, and the corresponding detection device 3 is encoded as Bc001 and Bc002, respectively.
Through encoding the detection device 3, the data packet which can be cached through the effective encoding mark belongs to specific parameters detected by which dangerous goods 2 in which vehicle, the data is convenient to be classified and processed quickly, the efficiency of data processing is improved, and the subsequent reading and processing of the data are convenient.
Example 4:
on the basis of the above embodiments, in the present embodiment, the information detected by the detection device 3 includes one or more of pressure, temperature, detection time, and power supply line voltage.
When the dangerous goods 2 are gas or liquid, the internal pressure of the pressure sensor detector is utilized so as to monitor the change condition of the internal pressure in real time and judge whether the dangerous goods 2 are in an abnormal state according to pressure data.
The temperature sensor is used to detect the internal temperature, the surface temperature and/or the ambient temperature inside the dangerous cargo 2, so as to find out the abnormal temperature or ambient temperature of the dangerous cargo 2 in time.
As shown in fig. 3, after the processor 1 processes the buffered data packet and stores the data packet in the database, the processor 1 sends a feedback to the detection device 3 through the communication module. The detection device 3 transmits the data detected as the pair to the processor 1 after a predetermined time interval with respect to the base point of the time point at which the feedback is received, so that the time intervals for transmitting the data packets each time are the same. The time interval for transmitting the data packet may be designed to be 1-3 minutes once.
Through detecting power supply circuit's voltage, can monitor whether power supply circuit is unusual, avoid power supply circuit to appear short circuit, open circuit scheduling problem and make dangerous goods 2's transportation have the potential safety hazard.
Example 5:
on the basis of the above embodiment, in this embodiment, the dangerous goods 2 are divided into a plurality of groups according to each vehicle, the corresponding detection devices 3 are also divided into a plurality of trunk groups, and the time points of data transmission of the communication modules in different groups are staggered. The time points of data transmission of the communication modules in different groups are staggered, data collision can be avoided, the accuracy of the data is improved, the pressure of the processor 1 on processing the data is reduced, and more caches are avoided in the same time period.
Example 6:
in addition to the above embodiments, in the present embodiment, when the detection device 3 detects data abnormality, the detected data is immediately sent to the processor 1 for processing.
The detection device 3 is connected with a microprocessor 1. The microprocessor 1 is connected with the communication module, data detected by the detection device 3 are packed in the microprocessor 1 to form a data packet and are cached, the frequency of caching the data in the microprocessor 1 is higher than the frequency of transmitting the data packet to the processor 1 by the communication module, when the data packet is required to be transmitted to the processor 1 by the communication module, the latest packed data packet in the microprocessor 1 is selected, and the previously packed data packet is deleted by the microprocessor 1.
When the data detected by the detection device is abnormal, the microprocessor 1 is used for comparing the data to find the abnormality, and the microprocessor 1 informs the communication module to send the data packet with the abnormal data to the processor 1 for processing.
In this embodiment, the processor 1 may be connected to an alarm system, and the alarm system may include a sound alarm, a light alarm, and a display screen alarm. According to the coding of the monitoring device, vehicles with abnormal data and abnormal data types can be quickly found out, and the efficiency of troubleshooting and risk avoidance is improved.
Example 7:
on the basis of the above embodiment, in this embodiment, the detection device further includes a plurality of positioning devices, and the positioning devices are used for positioning the position of the vehicle in real time, and the positioning devices transmit the positioning data to the processor 1 according to a certain time interval, and the processor 1 packs the positioning data and the detection data of the same time point pair and stores the positioning data and the detection data into the database, and when inquiring data in the later period, the transportation state and the position of the dangerous goods 2 can be inquired at the same time. And the specific position of the vehicle can be quickly positioned when an accident happens.
In this embodiment, the positioning device adopts a GPS module or a beidou positioning module.
Example 8:
on the basis of the above embodiment, in this embodiment, the processor is in communication connection with stations along the railway, and the stations include a container handling station and a station. The system mainly comprises a processor, a container handling station and a station communication connection device, wherein the processor is in communication connection with the container handling station and the station where dangerous goods pass and stop, the processor is used for transmitting data in a database to the container handling station and the station in real time, the database of the container handling station and the database of the station are used for backup, auxiliary monitoring is carried out, and monitoring is carried out from multiple directions.
The container handling station or the station is provided with a monitoring system in communication connection with the processor 1, and the monitoring system comprises a monitoring management module, a statistical analysis module, an emergency disposal module and an interface module.
The monitoring management module comprises a real-time state monitoring module, an information management module, a historical state query module and an empty box management module.
The real-time state monitoring module is used for receiving and processing the data transmitted by the processor 1, storing the data in the information management module, inquiring the data in the information management module by using the historical state inquiry module, and collecting and storing the position information of the empty box by using the empty box management module.
The emergency handling module comprises an early warning management module, an alarm management module, an accident rescue management module, an emergency plan management module and a rescue capacity management module.
The early warning management module presets an early warning threshold value, when the real-time state monitoring module processes data and compares the data with an early warning value, and if the data reaches the early warning threshold value, the early warning management module sends out an early warning signal.
The emergency plan management module presets corresponding rescue signals aiming at different accidents, the rescue signals are correspondingly provided with a rescue scheme, and the accident type is judged according to the data received by the real-time state monitoring module.
The accident rescue management module is used for sending corresponding rescue signals, and the rescue efficiency is improved.
The alarm management module presets an alarm threshold value, when the real-time state monitoring module processes data and compares the data with the alarm threshold value, and if the data reaches the alarm threshold value, the early warning management module sends an alarm signal.
The statistical analysis module comprises a loading and unloading information statistical module, a dangerous cargo area distribution module and a dangerous cargo tank residual maintenance time prediction module.
The loading and unloading information statistical module is used for recording loading and unloading information of dangerous goods. The dangerous goods region distribution module is used for recording the distribution position information of dangerous goods.
The residual maintenance time prediction module of the dangerous cargo tank is used for recording the time when the dangerous cargo tank starts to be used, the time when the dangerous cargo tank is used and the time when the dangerous cargo tank can be used.
The time point when the vehicle arrives at the station and leaves the station and the time length when the vehicle stops at the station can be stored in the database, so that the rapid processing can be carried out when accidents happen in the transportation process, and the personnel and equipment can be conveniently mobilized. Meanwhile, the data query is convenient for a supervision department to extract from a plurality of places.
And the processor transmits the collected data to the station between the dividing point and the next dividing point after the vehicle passes through one dividing point.
When the vehicle runs on a railway, the data detected by the road section are transmitted to the corresponding stations according to different road sections, so that the data detected in the unit road section and the stations in the unit road section are in one-to-one correspondence, the influence on the efficiency of a server or a processor in the station due to the fact that the stations receive excessive data is avoided, and the data are convenient to manage and inquire.
Example 9:
on the basis of the above embodiment, in this embodiment, a temperature control system for controlling temperature is arranged in the carriage, and the temperature control system includes a temperature reducing agent storage device and a plurality of electromagnetic valves communicated with the temperature reducing agent storage device, the electromagnetic valves are connected with the processor, and the electromagnetic valves are communicated with nozzles in different directions.
Utilize the coolant storage device to store the coolant of a certain amount, under the higher condition of temperature in temperature is higher or the carriage, with the coolant blowout so that control the temperature in the carriage, prevent that the carriage internal temperature is too high and lead to dangerous goods temperature to rise.
After detection device detects the dangerous goods temperature rise, also can control the solenoid valve and open, release the temperature-reducing agent and control the temperature of dangerous goods to play the effect of prevention, or for follow-up to the processing time of striving for of dangerous goods temperature rise.
The cooling agent is selected according to the type of the dangerous goods, so that chemical reaction between the cooling agent and the dangerous goods is avoided, and dry ice and liquid nitrogen can be selected for example.
In this embodiment, other undescribed contents are the same as those in the above embodiment, and thus are not described again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (10)
1. A method for supervising the whole life cycle of railway dangerous goods transportation is characterized by comprising the following steps: the method comprises the following steps:
step S1: loading dangerous goods, arranging a corresponding detection device in each carriage of the transport vehicle, arranging a processor in a control room of the transport vehicle, arranging a database and a data cache capable of storing data packets in the processor, detecting the state of the dangerous goods in the transport process by using the detection device, and coding the detection device to enable the dangerous goods to correspond to the codes;
step S2: the detection device transmits the detected data to the processor through the communication module, and the data are stored and analyzed by the processor and are compared with a set threshold value;
step S3: the processor stores the comparison results in a database.
2. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the database is provided with a corresponding relation table of detection device codes, dangerous goods types and corresponding vehicles.
3. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the information detected by the detection device comprises one or more of pressure, temperature, detection time and power supply line voltage.
4. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the detection device detects data according to a certain time interval, and the communication module transmits the data once according to the corresponding time interval.
5. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 4, wherein: the dangerous goods are divided into a plurality of groups according to each section of vehicle, the corresponding detection devices are also divided into a plurality of trunk groups, and the time points of data transmission of the communication modules in different groups are staggered.
6. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the codes corresponding to the detection devices for detecting the same type of state have at least one common point; when the detection device detects data abnormity, the detected data is immediately sent to the processor for processing, and the code of the detection device is arranged corresponding to the carriage.
7. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the detection device also comprises a plurality of positioning devices.
8. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the carriage in be provided with the temperature control system who is used for the controlled temperature, temperature control system include coolant storage device and a plurality of and the solenoid valve of coolant storage device intercommunication, the solenoid valve be connected with the treater, the intercommunication of solenoid valve have the shower nozzle of different orientations.
9. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the processor is in communication connection with stations along the railway.
10. The method for supervising the full life cycle of railway dangerous goods transportation according to claim 1, wherein: the regional division is carried out along the railway in a segmented mode, the central mileage position of adjacent stations is used as a dividing point, and after a vehicle passes through one dividing point, the collected data are transmitted to the station between the dividing point and the next dividing point by the processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117744907A (en) * | 2024-02-19 | 2024-03-22 | 天津小铁马科技有限公司 | Goods source route planning method and device, electronic equipment and storage medium |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102830660A (en) * | 2011-06-16 | 2012-12-19 | 宁波图腾物联科技有限公司 | Dangerous goods transportation security detecting method and system thereof |
| CN104950830A (en) * | 2014-03-31 | 2015-09-30 | 北京物资学院 | Freight vehicle whole-course monitoring device and system |
| CN106228832A (en) * | 2016-08-12 | 2016-12-14 | 安徽中杰信息科技有限公司 | Hazardous materials transportation management system |
| CN205899753U (en) * | 2016-08-08 | 2017-01-18 | 江西科技师范大学 | Dangerous goods transportation supervises device |
| CN106375443A (en) * | 2016-08-31 | 2017-02-01 | 北京龙鼎源科技股份有限公司 | Engineering condition monitoring system |
| CN206292573U (en) * | 2016-11-01 | 2017-06-30 | 中国铁道科学研究院 | A kind of Railway Dangerous Goods Transport supervising device |
| CN107589708A (en) * | 2017-09-18 | 2018-01-16 | 浙江镇石物流有限公司 | A kind of hazardous materials transportation monitoring system based on position tracking |
| CN108196483A (en) * | 2018-01-15 | 2018-06-22 | 天津锐敏科技发展有限责任公司 | Railway Dangerous Goods tracking monitor system |
| CN108981818A (en) * | 2018-08-03 | 2018-12-11 | 智奇铁路设备有限公司 | A kind of high-speed wheel is to on-line measuring device and detection method |
| CN109147293A (en) * | 2018-07-18 | 2019-01-04 | 成都嘉泽兴业科技有限责任公司 | A kind of working method of environment monitoring data acquisition analysis system |
| CN109405389A (en) * | 2017-08-18 | 2019-03-01 | 江苏斯诺物联科技有限公司 | A kind of Cold Chain Logistics haulage truck temperature control system |
| CN109936835A (en) * | 2019-03-20 | 2019-06-25 | 珠海云航智能技术有限公司 | Ship monitoring method and ship terminal device |
| CN111063064A (en) * | 2019-12-04 | 2020-04-24 | 天津工业大学 | Dangerous goods management system and method based on RFID |
-
2020
- 2020-06-10 CN CN202010523541.8A patent/CN111762229A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102830660A (en) * | 2011-06-16 | 2012-12-19 | 宁波图腾物联科技有限公司 | Dangerous goods transportation security detecting method and system thereof |
| CN104950830A (en) * | 2014-03-31 | 2015-09-30 | 北京物资学院 | Freight vehicle whole-course monitoring device and system |
| CN205899753U (en) * | 2016-08-08 | 2017-01-18 | 江西科技师范大学 | Dangerous goods transportation supervises device |
| CN106228832A (en) * | 2016-08-12 | 2016-12-14 | 安徽中杰信息科技有限公司 | Hazardous materials transportation management system |
| CN106375443A (en) * | 2016-08-31 | 2017-02-01 | 北京龙鼎源科技股份有限公司 | Engineering condition monitoring system |
| CN206292573U (en) * | 2016-11-01 | 2017-06-30 | 中国铁道科学研究院 | A kind of Railway Dangerous Goods Transport supervising device |
| CN109405389A (en) * | 2017-08-18 | 2019-03-01 | 江苏斯诺物联科技有限公司 | A kind of Cold Chain Logistics haulage truck temperature control system |
| CN107589708A (en) * | 2017-09-18 | 2018-01-16 | 浙江镇石物流有限公司 | A kind of hazardous materials transportation monitoring system based on position tracking |
| CN108196483A (en) * | 2018-01-15 | 2018-06-22 | 天津锐敏科技发展有限责任公司 | Railway Dangerous Goods tracking monitor system |
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| CN111063064A (en) * | 2019-12-04 | 2020-04-24 | 天津工业大学 | Dangerous goods management system and method based on RFID |
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