CN113298475A - Dangerous goods judgment and transportation safety detection method and system based on Internet of things - Google Patents

Dangerous goods judgment and transportation safety detection method and system based on Internet of things Download PDF

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CN113298475A
CN113298475A CN202110730328.9A CN202110730328A CN113298475A CN 113298475 A CN113298475 A CN 113298475A CN 202110730328 A CN202110730328 A CN 202110730328A CN 113298475 A CN113298475 A CN 113298475A
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dangerous goods
information
transportation
current
dangerous
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何舒
栾维新
王文思
孙家庆
王新建
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Dalian Maritime University
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Dalian Maritime University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The invention provides a dangerous goods judgment and transportation safety detection method and system based on the Internet of things. The method comprises the steps of obtaining the type information of the dangerous goods, the condition information of the physical and chemical changes of the dangerous goods, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver, and establishing a database; setting a danger index threshold; acquiring condition information of physical and chemical changes of current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver; based on the acquired current information, performing matching analysis with stored information in a database, judging the type of the dangerous goods, and calculating to obtain a real-time danger index; judging whether the real-time danger index exceeds a preset danger index threshold value, if so, giving an alarm and giving early warning information; if not, the transportation process is safe.

Description

Dangerous goods judgment and transportation safety detection method and system based on Internet of things
Technical Field
The invention relates to the technical field of Internet of things, in particular to a dangerous goods judgment and transportation safety detection method and system based on the Internet of things.
Background
At present, a mode adopted for transporting dangerous goods is a mode of transporting common goods, and the transportation mode has two defects, wherein the first defect is that a transportation vehicle is turned over, collided, leaked and the like due to improper operation of a driver to cause explosion accidents; the second is that the transportation safety accident is caused by the change of the external condition of the dangerous goods in the transportation process;
with the development of technology, a lot of functions of positioning, tracking opinion monitoring and the like are realized by using big data and the technology of the Internet of Things (IoT), which originates from the media field and is the third revolution of the information technology industry. The internet of things is that any object is connected with a network through information sensing equipment according to an agreed protocol, and the object performs information exchange and communication through an information transmission medium so as to realize functions of intelligent identification, positioning, tracking, supervision and the like.
However, the field of applying big data and internet of things technology to dangerous goods transportation does not exist at present, the safety of dangerous goods transportation can be improved based on functions of intelligent identification, positioning, tracking, supervision and the like of the internet of things, and the defects of the prior art are overcome.
Disclosure of Invention
According to the technical problem of how to improve the safety of dangerous goods transportation, the method and the system for judging the dangerous goods and detecting the transportation safety based on the Internet of things are provided. The system and the method are based on the technology of the Internet of things, can realize real-time detection of the transportation state of the dangerous goods during transportation, and have the advantages of low cost, high performance, flexible expansion and the like.
The technical means adopted by the invention are as follows:
a dangerous goods judgment and transportation safety detection method based on the Internet of things comprises the following steps:
acquiring the type information of dangerous goods, the condition information of physicochemical changes of different types of dangerous goods, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver, and establishing a database;
setting a danger index threshold;
acquiring condition information of physical and chemical changes of current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
based on the acquired current information, performing matching analysis with stored information in a database, judging the type of the dangerous goods, and calculating to obtain a real-time danger index;
judging whether the real-time danger index exceeds a preset danger index threshold, if so, giving an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
Furthermore, the method also comprises the step of establishing a communication protocol to realize information interaction.
Further, the information on the types of dangerous materials includes explosives, gases, flammable liquids, flammable solids, materials liable to self-ignite, materials emitting flammable gases when meeting water, oxidizing materials and organic peroxides, toxic and infectious materials, radioactive materials, corrosive materials, and miscellaneous dangerous materials and articles.
Further, the surrounding environment information that the hazardous articles were located when transporting includes the inside and outside humiture in haulage vehicle carriage, gas density, pressure etc. state data, the surrounding environment information that the hazardous articles were located when transporting adopts temperature sensor, humidity transducer, pressure sensor and gas sensor to detect and obtains.
Further, the health state information of the driver comprises the heart rate, the blood pressure and the motion state of the driver, and the health state information of the driver is obtained by adopting the intelligent sensing bracelet to measure.
Further, the specific process of calculating the real-time risk index includes:
determining the danger level of the dangerous goods by looking up a table;
determining the reference quantity of the dangerous goods by looking up a table;
calculating correction factors, including calculating fire/explosion correction factors and calculating personnel health correction factors; wherein:
the formula for calculating the fire/explosion correction factor is as follows:
β＝FF1×FF2×FF3
wherein, FF1Showing the physical state of the dangerous goods, and FF is formed when the dangerous goods are solid, powder or liquid 11 is ═ 1; when the hazardous material is gas, FF1＝0.1；FF2Represents the distance between the dangerous goods production and storage device and the factory boundary, and FF is set when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters 21 is ═ 1; when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters, the FF2＝3；FF3Indicates the type of hazardous material device, and FF is used when the device type is a production device30.3; when the device type is a ground storage device, FF 31 is ═ 1; when the device type is underground storage device, FF3＝10；
The formula for calculating the person health correction factor is as follows:
β＝FH1×FH2×FH3
wherein, FH1Indicating the physical state of the hazardous material, FH when the hazardous material is a solid13; when the dangerous goods are powder or liquid, FH 11 is ═ 1; when the dangerous goods are gas, FH1＝0.1；FH2Indicating the distance between the dangerous goods production and storage device and the factory boundary, and FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters 21 is ═ 1; FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters2＝3；FH3Indicates the type of hazardous material equipment, FH when the equipment type is a production equipment30.3; FH when the device type is a ground storage device 31 is ═ 1; FH when the device type is underground storage device3＝10；
Calculating the risk index according to the following calculation formula:
Figure BDA0003139723560000031
wherein q is1，q2，…qnIndicating the actual presence of each hazardous material; q1，Q2，…QnIndicating a reference amount corresponding to each dangerous material; beta is a1，β2，…βnIndicating the correction factor corresponding to each hazardous article.
The invention also provides a dangerous goods judgment and transportation safety detection system based on the Internet of things, which comprises: the system comprises a database module, a danger index threshold setting module, a current information acquisition module, a calculation module and a judgment and early warning module;
the database module is used for acquiring the type information of dangerous goods, the condition information of physicochemical change of the dangerous goods of different types, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver and establishing a database;
the danger index threshold setting module is used for setting a danger index threshold;
the current information acquisition module is used for acquiring condition information of physical and chemical changes of the current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
the calculation module is used for carrying out matching analysis on the acquired current information and the stored information in the database, judging the type of the dangerous goods and calculating to obtain a real-time danger index;
the judgment and early warning module is used for judging whether the real-time danger index exceeds a preset danger index threshold value, and if the real-time danger index exceeds the preset danger index threshold value, sending an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
Furthermore, communication protocols are respectively established among the database module, the current information acquisition module and the calculation module, the current information acquisition module acquires information and directly transmits the information to the calculation module, and the calculation module performs matching analysis on the acquired current information and stored information in the database to realize automatic processing and response of the information.
Furthermore, communication protocols are respectively established among the danger index threshold setting module, the judgment and early warning module and the calculation module, and the judgment and early warning module acquires danger index information and judges whether the transportation process is safe or not according to the threshold set by the danger index threshold setting module.
A computer readable storage medium is stored with a computer program, wherein when the computer program runs, the method for judging dangerous goods and detecting transportation safety based on the Internet of things is executed.
Compared with the prior art, the invention has the following advantages:
1. according to the dangerous goods judgment and transportation safety detection method based on the Internet of things, the safety of dangerous goods transportation can be improved based on the functions of intelligent identification, positioning, tracking, supervision and the like of the Internet of things.
2. The dangerous goods judgment and transportation safety detection method based on the Internet of things, provided by the invention, can realize real-time detection of the transportation state of the dangerous goods during transportation based on the Internet of things technology, and has the advantages of low cost, high performance, flexible expansion and the like.
3. The dangerous goods judgment and transportation safety detection method based on the Internet of things has an early warning function, further avoids traffic accidents and reduces the accident probability.
Based on the reason, the invention can be widely popularized in the fields of Internet of things and the like.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a comparison table 1 provided in the embodiment of the present invention.
Fig. 3 is a comparison table 2 provided in the embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. Any specific values in all examples shown and discussed herein are to be construed as exemplary only and not as limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present invention, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the absence of any contrary indication, these directional terms are not intended to indicate and imply that the device or element so referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore should not be considered as limiting the scope of the present invention: the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of the present invention should not be construed as being limited.
As shown in fig. 1, the invention provides a dangerous goods judgment and transportation safety detection method based on the internet of things, which comprises the following steps:
acquiring the type information of dangerous goods, the condition information of physicochemical changes of different types of dangerous goods, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver, and establishing a database;
setting a danger index threshold;
acquiring condition information of physical and chemical changes of current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
based on the acquired current information, performing matching analysis with stored information in a database, judging the type of the dangerous goods, and calculating to obtain a real-time danger index;
judging whether the real-time danger index exceeds a preset danger index threshold, if so, giving an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
In specific implementation, as a preferred implementation of the present invention, the method further includes a step of establishing a communication protocol to implement information interaction.
In specific implementation, as a preferred embodiment of the present invention, the information about the type of the hazardous material includes explosives, gases, flammable liquids, flammable solids, materials liable to self-ignite, materials emitting flammable gases when meeting water, oxidizing materials and organic peroxides, toxic and infectious materials, radioactive materials, corrosive materials, and miscellaneous hazardous materials and articles.
In specific implementation, as a preferred embodiment of the present invention, the ambient environment information of the transportation of the hazardous articles includes state data of temperature and humidity inside and outside a carriage of the transportation vehicle, gas density, pressure intensity, and the like, and the ambient environment information of the transportation of the hazardous articles is obtained by detecting with a temperature sensor, a humidity sensor, a pressure sensor, and a gas sensor.
In specific implementation, as a preferred embodiment of the present invention, the health status information of the driver includes a heart rate, a blood pressure, and a motion status of the driver, and the health status information of the driver is obtained by measuring with an intelligent sensing bracelet.
In specific implementation, as a preferred embodiment of the present invention, the specific process of calculating the real-time risk index includes:
as shown in fig. 2, the danger level of the dangerous goods is determined by looking up table 1;
as shown in fig. 3, determining the reference amount of the dangerous goods by looking up table 2;
calculating correction factors, including calculating fire/explosion correction factors and calculating personnel health correction factors; wherein:
the formula for calculating the fire/explosion correction factor is as follows:
β＝FF1×FF2×FF3
wherein, FF1Showing the physical state of the dangerous goods, and FF is formed when the dangerous goods are solid, powder or liquid 11 is ═ 1; when the hazardous material is gas, FF1＝0.1；FF2Represents the distance between the dangerous goods production and storage device and the factory boundary, and FF is set when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters 21 is ═ 1; when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters, the FF2＝3；FF3Indicates the type of hazardous material device, and FF is used when the device type is a production device30.3; when the device type is a ground storage device, FF 31 is ═ 1; when the device type is underground storage device, FF3＝10；
The formula for calculating the person health correction factor is as follows:
β＝FH1×FH2×FH3
wherein, FH1Indicating the physical state of the hazardous material, FH when the hazardous material is a solid13; when the dangerous goods are powder or liquid, FH 11 is ═ 1; when the dangerous goods are gas, FH1＝0.1；FH2Indicating the distance between the dangerous goods production and storage device and the factory boundary, and FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters 21 is ═ 1; FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters2＝3；FH3Indicates the type of hazardous material equipment, FH when the equipment type is a production equipment30.3; FH when the device type is a ground storage device 31 is ═ 1; FH when the device type is underground storage device3＝10；
Calculating the risk index according to the following calculation formula:
Figure BDA0003139723560000081
wherein q is1，q2，…qnIndicating the actual presence of each hazardous material; q1，Q2，…QnIndicating a reference amount corresponding to each dangerous material; beta is a1，β2，…βnIndicating the correction factor corresponding to each hazardous article.
Corresponding in this application dangerous goods judgement and transportation safety inspection method based on thing networking, this application still provides a dangerous goods judgement and transportation safety inspection system based on thing networking, the system includes: the system comprises a database module, a danger index threshold setting module, a current information acquisition module, a calculation module and a judgment and early warning module;
the database module is used for acquiring the type information of dangerous goods, the condition information of physicochemical change of the dangerous goods of different types, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver and establishing a database;
the danger index threshold setting module is used for setting a danger index threshold;
the current information acquisition module is used for acquiring condition information of physical and chemical changes of the current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
the calculation module is used for carrying out matching analysis on the acquired current information and the stored information in the database, judging the type of the dangerous goods and calculating to obtain a real-time danger index;
the judgment and early warning module is used for judging whether the real-time danger index exceeds a preset danger index threshold value, and if the real-time danger index exceeds the preset danger index threshold value, sending an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
In specific implementation, as a preferred implementation of the present invention, communication protocols are respectively established among the database module, the current information obtaining module, and the computing module, the current information obtaining module obtains information and directly transmits the information to the computing module, and the computing module performs matching analysis on the obtained current information and stored information in the database to implement automatic processing and response on the information.
In specific implementation, as a preferred implementation manner of the present invention, communication protocols are respectively established among the risk index threshold setting module, the judgment and early warning module, and the calculation module, and the judgment and early warning module obtains risk index information and realizes judgment on safety of a transportation process according to a threshold set by the risk index threshold setting module.
For the embodiments of the present invention, the description is simple because it corresponds to the above embodiments, and for the related similarities, please refer to the description in the above embodiments, and the detailed description is omitted here.
The embodiment of the application also discloses a computer-readable storage medium, wherein a computer instruction set is stored in the computer-readable storage medium, and when being executed by a processor, the computer instruction set realizes the method for judging dangerous goods and detecting transportation safety based on the internet of things, which is provided by any one of the above embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A dangerous goods judgment and transportation safety detection method based on the Internet of things is characterized by comprising the following steps:
acquiring the type information of dangerous goods, the condition information of physicochemical changes of different types of dangerous goods, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver, and establishing a database;
setting a danger index threshold;
acquiring condition information of physical and chemical changes of current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
based on the acquired current information, performing matching analysis with stored information in a database, judging the type of the dangerous goods, and calculating to obtain a real-time danger index;
judging whether the real-time danger index exceeds a preset danger index threshold, if so, giving an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
2. The method for dangerous goods judgment and transportation safety detection based on the internet of things as claimed in claim 1, further comprising the step of establishing a communication protocol to realize information interaction.
3. The method for dangerous goods judgment and transportation safety detection based on the internet of things according to claim 1, wherein the type information of the dangerous goods comprises explosives, gases, flammable liquids, flammable solids, substances prone to spontaneous combustion, substances emitting flammable gases when meeting water, oxidizing substances and organic peroxides, toxic and infectious substances, radioactive substances, corrosive substances, and miscellaneous dangerous substances and articles.
4. The dangerous goods judgment and transportation safety detection method based on the internet of things as claimed in claim 1, wherein the surrounding environment information of the dangerous goods during transportation comprises state data of temperature and humidity inside and outside a carriage of a transportation vehicle, gas density, pressure and the like, and the surrounding environment information of the dangerous goods during transportation is obtained by detecting with a temperature sensor, a humidity sensor, a pressure sensor and a gas sensor.
5. The Internet of things-based dangerous goods judgment and transportation safety detection method according to claim 1, wherein the health state information of the driver comprises heart rate, blood pressure and motion state of the driver, and the health state information of the driver is obtained by adopting intelligent sensing bracelet measurement.
6. The method for dangerous goods judgment and transportation safety detection based on the internet of things according to claim 1, wherein the specific process of calculating to obtain the real-time danger index comprises the following steps:
determining the danger level of the dangerous goods by looking up a table;
determining the reference quantity of the dangerous goods by looking up a table;
calculating correction factors, including calculating fire/explosion correction factors and calculating personnel health correction factors; wherein:
the formula for calculating the fire/explosion correction factor is as follows:
β＝FF1×FF2×FF3
wherein, FF1Showing the physical state of the dangerous goods, and FF is formed when the dangerous goods are solid, powder or liquid11 is ═ 1; when the hazardous material is gas, FF1＝0.1；FF2Represents the distance between the dangerous goods production and storage device and the factory boundary, and FF is set when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters21 is ═ 1; when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters, the FF2＝3；FF3Indicates the type of hazardous material device, and FF is used when the device type is a production device30.3; when the device type is a ground storage device, FF31 is ═ 1; when the device type is underground storage device, FF3＝10；
The formula for calculating the person health correction factor is as follows:
β＝FH1×FH2×FH3
wherein, FH1Indicating the physical state of the hazardous material, FH when the hazardous material is a solid13; when the dangerous goods are powder or liquid, FH11 is ═ 1; when the dangerous goods are gas, FH1＝0.1；FH2Indicating the distance between the dangerous goods production and storage device and the factory boundary, and FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is less than or equal to 30 meters21 is ═ 1; FH is carried out when the distance between the dangerous goods production and storage device and the factory boundary is more than 30 meters2＝3；FH3Indicates the type of hazardous material equipment, FH when the equipment type is a production equipment30.3; FH when the device type is a ground storage device31 is ═ 1; FH when the device type is underground storage device3＝10；
Calculating the risk index according to the following calculation formula:
Figure FDA0003139723550000031
wherein q is1，q2，…qnIndicating the actual presence of each hazardous material; q1，Q2，…QnIndicating a reference amount corresponding to each dangerous material; beta is a1，β2，…βnIndicating the correction factor corresponding to each hazardous article.
7. The utility model provides a hazardous articles are judged and transportation safety detecting system based on thing networking which characterized in that, the system includes: the system comprises a database module, a danger index threshold setting module, a current information acquisition module, a calculation module and a judgment and early warning module;
the database module is used for acquiring the type information of dangerous goods, the condition information of physicochemical change of the dangerous goods of different types, the surrounding environment information of the dangerous goods during transportation, the state information of the dangerous goods during transportation and the health state information of a driver and establishing a database;
the danger index threshold setting module is used for setting a danger index threshold;
the current information acquisition module is used for acquiring condition information of physical and chemical changes of the current dangerous goods, information of the surrounding environment where the current dangerous goods are transported, state information appearing in the current dangerous goods transportation process and health state information of a current driver;
the calculation module is used for carrying out matching analysis on the acquired current information and the stored information in the database, judging the type of the dangerous goods and calculating to obtain a real-time danger index;
the judgment and early warning module is used for judging whether the real-time danger index exceeds a preset danger index threshold value, and if the real-time danger index exceeds the preset danger index threshold value, sending an alarm and giving early warning information; and if the preset danger index threshold value is not exceeded, the transportation process is safe.
8. The internet of things-based dangerous goods judgment and transportation safety detection system according to claim 7, wherein communication protocols are respectively established among the database module, the current information acquisition module and the calculation module, the current information acquisition module acquires information and directly transmits the information to the calculation module, and the calculation module performs matching analysis on the acquired current information and stored information in the database to realize automatic processing and response of the information.
9. The system for dangerous goods judgment and transportation safety detection based on the internet of things of claim 7, wherein communication protocols are respectively established among the dangerous index threshold setting module, the judgment and early warning module and the calculation module, and the judgment and early warning module obtains dangerous index information and judges whether the transportation process is safe or not according to the threshold set by the dangerous index threshold setting module.
10. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to perform the method of any one of claims 1 to 6 when the computer program runs.
CN202110730328.9A 2021-06-30 2021-06-30 Dangerous goods judgment and transportation safety detection method and system based on Internet of things Pending CN113298475A (en)

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