CN117451110B - Railway container transportation state intelligent monitoring system based on thunder fusion - Google Patents
Railway container transportation state intelligent monitoring system based on thunder fusion Download PDFInfo
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- G—PHYSICS
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- 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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- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
- G01S13/867—Combination of radar systems with cameras
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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Abstract
The invention discloses an intelligent monitoring system for railway container transportation state based on radar fusion, which comprises: the system comprises a data acquisition module, a data transmission module, a data judgment module and a data early warning module; the data acquisition module is used for acquiring external state information of the container, internal environment state information of the container and cargo state information in the container; the data transmission module is used for receiving the external state information of the container, the internal environment state information of the container and the cargo state information in the container and sending the external state information, the internal environment state information and the cargo state information to the data judgment module; the data judging module is used for judging the external state information of the container, the internal environment state information of the container and the cargo state information in the container, acquiring a judging result and sending the judging result to the data early warning module; and the data early warning module is used for receiving the judging result and carrying out early warning on the abnormal state and notifying relevant staff to process.
Description
Technical Field
The invention belongs to the technical field of railway container transportation state detection, and particularly relates to an intelligent railway container transportation state monitoring system based on radar fusion.
Background
In recent years, multi-mode intermodal demonstration engineering construction is deeply implemented, the development level of multi-mode intermodal is rapidly improved, and railway freight is orderly propelled. Railway container transportation is used as a high-efficiency, safe and environment-friendly cargo transportation mode, and has great advantages compared with other transportation modes. Along with the continuous development of the railway transportation industry in China, the development prospect of railway container transportation is wide. However, some problems still exist in the development of railway container transportation, and in the process of container transportation, the transported goods are often damaged due to the problem of the external state of the container or the internal environment of the container, and even serious freight accidents occur. Therefore, along with the continuous development of scientific technology, the railway transportation industry in China continuously advances towards informatization and intellectualization, and in order to ensure the railway container transportation safety, the intelligent monitoring technology is combined with the container transportation, so that the real-time monitoring of the container state data is very necessary. The invention comprehensively evaluates the states of the container and the goods in the container transportation process through the monitoring of the external state (position, deformation, offset and the like) of the container, the monitoring of the internal environment (temperature, humidity, vibration, pressure and the like) of the container and the monitoring of the state of the goods in the container (position displacement, inclined collapse, deformation damage and the like). In the aspect of data acquisition, according to different data acquisition scene requirements, a radar and vision sensor integrated with a radar fusion machine or a radar and vision sensor integrated with a radar fusion technology are adopted, and meanwhile, a displacement sensor, a temperature and humidity sensor, a vibration sensor, a pressure sensor and the like are configured, so that the comprehensive acquisition of the internal and external states and the cargo state of the container is realized; in the aspect of data fusion, after preprocessing such as synchronization, calibration, filtering and the like, state data acquired by various sensors are integrated with external state information, internal environment information and cargo state information by adopting a multi-source data fusion algorithm, so that the cargo transportation state of the container is comprehensively evaluated; in the aspect of decision support, when the monitoring system judges that the container state or the cargo state is abnormal, an alarm can be sent to train staff, and a corresponding emergency treatment scheme is recommended according to the state evaluation result, so that the train staff can quickly respond and treat emergency.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent monitoring system for the transportation state of the railway container based on the radar fusion, which monitors the state information of the container in the transportation process in real time and solves the problem of data transmission in the network or non-network environment in the transportation process; the identification and early warning of the abnormal state outside the container, the abnormal environment inside the container and the abnormal state of the goods inside the container are realized, so that staff can timely handle accidents, and the transportation safety is further ensured; fills the technical blank of intelligent monitoring of railway containers, and further advances the reform of railway transportation technology to make the railway container informationized and intelligent.
In order to achieve the above object, the present invention provides an intelligent monitoring system for railway container transportation status based on radar fusion, comprising: the system comprises a data acquisition module, a data transmission module, a data judgment module and a data early warning module;
the data acquisition module is used for acquiring external state information of the container, internal environment state information of the container and cargo state information in the container;
The data transmission module is used for receiving the external state information of the container, the internal environment state information of the container and the cargo state information in the container and sending the external state information, the internal environment state information and the cargo state information to the data judgment module;
The data judging module is used for judging the external state information of the container, the internal environment state information of the container and the cargo state information in the container, acquiring a judging result and sending the judging result to the data early warning module;
and the data early warning module is used for receiving the judging result and carrying out early warning on the abnormal state and notifying relevant staff to process.
Optionally, the data acquisition module comprises a first acquisition unit, a second acquisition unit and a third acquisition unit;
The first acquisition unit is used for acquiring external state information of the container according to the radar fusion integrated machine and sending the external state information to the data transmission module;
The second acquisition unit is used for acquiring the internal environment state information of the container according to the temperature and humidity sensor, the vibration sensor and the pressure sensor and sending the information to the data transmission module;
And the third acquisition unit is used for acquiring cargo state information in the container according to the high-definition camera, the millimeter wave radar and the displacement sensor and sending the cargo state information to the data transmission module.
Optionally, the container external state information includes: position information of the container and external shape information of the container;
The container internal environment state information includes: temperature and humidity data information, vibration data information and pressure data information;
The cargo state information in the container comprises: cargo breakage information, cargo inclination information, and cargo displacement distance information.
Optionally, the data transmission module includes a first transmission unit, a second transmission unit and a third transmission unit;
The first transmission unit is used for receiving the external state information of the container and sending the external state information to the data judging module;
the second transmission unit is used for receiving the internal environment state information of the container and sending the internal environment state information to the data judging module;
And the third transmission unit is used for receiving the cargo state information in the container and sending the cargo state information to the data judging module.
Optionally, the data judging module includes a first judging unit, a second judging unit and a third judging unit;
the first judging unit is used for receiving the external state information of the container and judging, acquiring a first judging result and sending the first judging result to the data early warning module;
the second judging unit is used for receiving the internal environment state information of the container and judging, acquiring a second judging result and sending the second judging result to the data early warning module;
And the third judging unit is used for receiving the cargo state information in the container and judging, acquiring a third judging result and sending the third judging result to the data early warning module.
Optionally, the process of judging the external state information of the container and obtaining the first judgment result includes: and setting an external container deviation threshold and an external container deformation threshold, comparing the external container state information with the deviation threshold and the deformation threshold respectively, judging whether the external container state is in an abnormal state of deviation or deformation, and obtaining a first judgment result.
Optionally, the process of judging the state information of the internal environment of the container and obtaining the second judgment result includes: and setting a temperature and humidity threshold, a vibration threshold and a pressure threshold in the container, comparing the internal environment state information of the container with the temperature and humidity threshold, the vibration threshold and the pressure threshold respectively, judging whether the internal state of the container is abnormal, and acquiring a second judgment result.
Optionally, the process of judging the cargo state information in the container and obtaining the third judging result includes: and setting a damage threshold value, an inclination threshold value and a cargo displacement distance threshold value of the cargo in the container, comparing the cargo state information in the container with the damage threshold value, the inclination threshold value and the cargo displacement distance threshold value, judging whether the cargo in the container is in an abnormal state or not, and acquiring a third judgment result.
Optionally, the data early warning module comprises a first early warning unit, a second early warning unit and a third early warning unit;
the first early warning unit is used for early warning the abnormal state according to the first judging result, and the second early warning unit is used for early warning the abnormal state according to the second judging result;
And the third early warning unit is used for early warning the abnormal state according to the third judging result.
Optionally, the abnormal state includes a first abnormal state, a second abnormal state and a third abnormal state;
the first abnormal state includes: the position of the container is shifted and/or the external shape of the container is deformed;
The second abnormal state includes: any one or more of temperature, humidity, vibration and pressure in the container exceeds a threshold value;
The third abnormal state includes: the goods in the container are damaged and/or inclined, or the displacement distance of the goods in the container exceeds a set threshold value.
The invention has the technical effects that: the invention discloses a railway container transportation state intelligent monitoring system based on thunder fusion, which is used for carrying out real-time intelligent monitoring on the external state of a container, the internal environment state of the container and the state of goods in the container in the railway container transportation process, identifying and early warning the abnormal states of the inside and the outside of the container and the goods by data acquisition, transmission, fusion and deep learning, sending warning signals to a train worker in time, and when the worker receives the warning information, carrying out corresponding countermeasures according to the received information, ensuring the timely treatment of the abnormal conditions, realizing the full-course monitoring of the states of the container and the goods by the worker, and ensuring the property safety and transportation safety in the railway container transportation process; the whole-course monitoring and abnormal state warning in the railway container transportation process are realized; the problem that abnormal states are not found in time in the container transportation process is solved, so that workers can quickly find out the abnormality and solve the abnormality in time; the safety of goods in the railway container transportation process is ensured, and major accidents are prevented; the intelligent and informationized process of railway freight transportation is further promoted; greatly reduces the cost of pushing intelligent railway transportation.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
FIG. 1 is a schematic structural diagram of an intelligent monitoring system for railway container transportation state based on radar fusion according to an embodiment of the invention;
FIG. 2 is a flow chart of the external condition monitoring layout of the container according to the embodiment of the invention;
FIG. 3 is a flow chart of the monitoring and layout of the internal environment state of the container according to the embodiment of the invention;
FIG. 4 is a flow chart of a cargo state monitoring layout in a container according to an embodiment of the present invention;
FIG. 5 is a flow chart of intelligent monitoring and early warning of the external state of the container according to the embodiment of the invention;
FIG. 6 is a flow chart of intelligent monitoring and early warning of environmental conditions in a container according to an embodiment of the invention;
fig. 7 is a design diagram of an intelligent monitoring and early warning flow for cargo state in a container according to an embodiment of the invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
As shown in fig. 1, the present embodiment provides an intelligent monitoring system for railway container transportation status based on radar fusion, which includes: the radar fusion technology, the multi-mode sensor technology, the deep learning technology and the intelligent recognition technology are fused together to construct a complete intelligent monitoring system for the railway container transportation state. In the aspects of selection and application of equipment, a radar fusion technology combining a radar integrated machine or millimeter wave radar with a high-definition camera is selected, and sensor equipment such as a displacement sensor, a temperature and humidity sensor, a vibration sensor, a pressure sensor and the like is configured to monitor the external state of the container, the internal environment state of the container and the cargo state in the container. In the aspect of data transmission, the invention adopts various data transmission modes such as wired transmission, NB-IOT narrowband transmission, 5G transmission, beidou satellite communication, bluetooth communication, NFC communication and the like according to different equipment layout positions, and ensures that the data transmission is smooth. In the aspect of data fusion and processing, the invention lays out an edge calculator for the storage and processing of equipment and simultaneously carries out early warning on abnormal states by combining deep learning.
The invention mainly aims at detecting the railway container transportation state by adopting a radar fusion technology which integrates a camera, a millimeter wave radar and a high-performance processor. The radar fusion technology mainly has the following advantages: first, the radar fusion technology has wide detection range and high data accuracy. In addition, the state in the carriage can be more intuitively known, the interference degree of equipment is low, cameras of the radar integrated machine are basically low-illumination and starlight level cameras, and the cameras generally have super-strong environment adaptability; through the complementation of the video and the radar, the all-weather and all-weather accurate detection under various severe weather environments can be realized, and the cargo state can be mastered in real time in the whole process of transportation. The invention is provided with the displacement sensor, the temperature and humidity sensor, the vibration sensor, the pressure sensor and other sensors, so that more information data of the inner and outer states of the container and the goods can be mastered, and the inner and outer states of the container and the goods can be mastered by more comprehensively matching with the thunder fusion technology.
The invention divides the monitoring of the container state into three monitoring areas, namely, the monitoring of the container external state, the monitoring of the container internal environment state and the monitoring of the container internal cargo state.
The specific layout flow of the external state monitoring of the container is shown in figure 2, and the external state of the container is monitored by fusing the thunder fusion technology with a safety detection door. In the aspect of equipment layout, the radar fusion is integrally arranged on the top of the safety detection door, and the safety detection door is provided with an edge calculator. In the aspect of data acquisition, the radar fusion integrated machine performs data acquisition on the external state of the container. In terms of data transmission, the integrated radar fusion machine installed on the safety detection door and the configured edge calculator adopt wired transmission, the integrated radar fusion machine installed on the safety detection door stores data into the edge calculator through wired transmission, the edge calculator is connected to the 5G base station through wired transmission, information is transmitted to the router through TCP/IP protocol, and the data and calculation results are respectively transmitted to train staff and the railway dispatching center through the exchanger and the server.
The specific layout flow of the monitoring of the internal environment state of the container is shown in figure 3, and the internal environment state of the container is monitored through a temperature and humidity sensor, a vibration sensor and a pressure sensor. In terms of equipment layout, in order to prevent sensor failure due to cargo compression, a temperature and humidity sensor is installed at one side of the container. In order to make the data measurement more accurate, vibration sensors and pressure sensors are arranged at the bottom of the container. In the aspect of data acquisition, the temperature, humidity, amplitude and pressure in the container are measured through a temperature and humidity sensor, a vibration sensor and a pressure sensor. In the aspect of data transmission, the temperature and humidity sensor, the vibration sensor and the pressure sensor transmit collected data to the edge sensor through NB-IOT narrowband transmission, and the data are fused and processed through the edge calculator and transmitted to the railway station server through the 5G base station through wireless transmission, and finally transmitted to the railway dispatching center and train staff. In consideration of the fact that more high-delay or network-free areas exist in the transportation process, the data transmission aspect of the invention can also use a Beidou satellite communication mode to carry out communication, and the data is transmitted to a satellite ground station through a Beidou satellite and then transmitted to a railway station server, and finally transmitted to a railway dispatching platform and train staff. For communication modes of train personnel, the abnormal alarm prompt of the environment state in the container is timely received through short-distance communication modes such as Bluetooth communication, NFC communication and the like.
The specific layout flow of the cargo state monitoring in the container is shown in fig. 4, and in the aspect of equipment layout, in order to enable the measuring range and angle of the equipment to be wider, a high-definition camera, a millimeter wave radar and a displacement sensor are all fixed at the center of the top of the container. In the aspect of data acquisition, the states of goods in the box are monitored through a high-definition camera, a millimeter wave radar and a displacement sensor. In the aspect of data transmission, a high-definition camera, a millimeter wave radar and a displacement sensor transmit collected data to an edge sensor through NB-IOT narrowband transmission, and the data are fused and processed through an edge calculator and transmitted to a railway station server through a 5G base station through wireless transmission to be finally transmitted to a railway dispatching center and station staff. In consideration of the fact that more high-delay or network-free areas exist in the transportation process, the data transmission aspect of the invention can also use a Beidou satellite communication mode to carry out communication, and the data are transmitted to a satellite ground station through a Beidou satellite to be transmitted to a railway station server, and finally transmitted to a railway dispatching platform and train staff. For communication modes of train personnel, alarm prompts of abnormal cargo states inside and outside the container and inside the container are timely received through short-distance communication modes such as Bluetooth communication and NFC communication.
The flow of monitoring and early warning of the external state of the container is shown in fig. 5, the external state data (position, deformation and offset) of the container is collected by the radar integrated machine, the external state data of the container is subjected to deep learning and intelligent recognition by the edge calculator to judge whether the external state of the container is deformed or not, abnormal states such as position offset and the like are generated, and if the abnormal states exist, early warning is carried out in time and train staff are reported.
The flow of the monitoring and early warning of the environmental state in the container is shown in figure 6, the temperature and humidity sensor, the vibration sensor and the pressure sensor collect the environmental state data (temperature, humidity, amplitude and pressure) in the container, and the edge calculator carries out deep learning and data analysis on the environmental state data in the container to judge whether the environmental state in the container meets the cargo transportation requirement. Early warning and reporting train staff in time if abnormal state exists
The monitoring and early warning flow of the cargo state in the box is shown in fig. 7, the cargo state data in the box is collected by the high-definition camera, the millimeter wave radar and the displacement sensor, and the cargo state data in the box is fused by the edge calculator, and whether the cargo is subjected to position deviation, deformation damage and inclined collapse is judged by deep learning and intelligent recognition. And if the abnormal state exists, early warning is timely carried out, and train staff is reported.
The design scheme of the intelligent monitoring system for the railway container transportation state based on the thunder fusion is that the technology of the thunder fusion is matched with the technology of a multi-source multi-mode sensor such as a displacement sensor, a temperature and humidity sensor, a vibration sensor and a pressure sensor, and the external state information, the internal environment information and the cargo state information of the container are integrated by combining deep learning, a multi-source data fusion algorithm and intelligent recognition, so that abnormal state monitoring is realized, and workers can conveniently and timely process the abnormal state information.
Aiming at the monitoring of the external state of the container, the invention fuses the radar fusion technology and the safety detection door equipment, and monitors the position deformation, offset and other data of the container by using the radar fusion technology.
According to the monitoring of the internal environment of the container, the temperature and humidity sensor, the vibration sensor and the pressure sensor are arranged in the container to monitor the specific environmental information such as the temperature, the humidity, the amplitude and the pressure in the container in consideration of the condition that the goods with the requirements on the environmental information such as the temperature, the humidity, the amplitude and the pressure exist in the transportation process.
According to the invention, the in-box cargo state monitoring is carried out on the in-box cargo position based on the millimeter wave radar in the radar fusion technology, the displacement sensor is utilized to measure the in-box cargo displacement, whether the in-box cargo is damaged or deformed is monitored through the combination of the high-definition camera and the deep learning, and whether the in-box cargo is inclined or collapsed is monitored through the combination of the positioning function of the millimeter wave radar and the image monitoring function of the high-definition camera.
Aiming at the problem of data transmission of equipment in a container, a high-delay or network-free area is commonly existed in the transportation process, so that an edge calculator is arranged in a carriage, data information collected by the equipment can be stored, data processing calculation can be carried out by combining deep learning, and the characteristics of wide coverage, low power consumption and low cost of NB-IOT narrow-band transmission are utilized to feed back data and processing results to staff and a railway station server in time.
For the data transmission problem of the safety detection gate, an edge calculator is arranged near the safety detection gate for facilitating the storage and calculation of data information. Considering that the security detection door is generally erected in a network environment with good support, the data transmission is carried out by adopting a wired transmission mode with high transmission rate block and high security. The data are transmitted into an edge calculator, the edge calculator integrates and calculates the data, and the data and the processing result are fed back to a railway station server through a router and a switch for workers to know the state information of the container.
The present application is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present application are intended to be included in the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims (1)
1. Railway container transportation state intelligent monitoring system based on thunder vision fuses, its characterized in that includes:
the system comprises a data acquisition module, a data transmission module, a data judgment module and a data early warning module;
the data acquisition module is used for acquiring external state information of the container, internal environment state information of the container and cargo state information in the container;
The data transmission module is used for receiving the external state information of the container, the internal environment state information of the container and the cargo state information in the container and sending the external state information, the internal environment state information and the cargo state information to the data judgment module;
The data judging module is used for judging the external state information of the container, the internal environment state information of the container and the cargo state information in the container, acquiring a judging result and sending the judging result to the data early warning module;
The data early warning module is used for receiving the judging result and carrying out early warning on the abnormal state and notifying relevant staff to process;
the data acquisition module comprises a first acquisition unit, a second acquisition unit and a third acquisition unit;
The first acquisition unit is used for acquiring external state information of the container according to the radar fusion integrated machine and sending the external state information to the data transmission module;
The second acquisition unit is used for acquiring the internal environment state information of the container according to the temperature and humidity sensor, the vibration sensor and the pressure sensor and sending the information to the data transmission module;
the third acquisition unit is used for acquiring cargo state information in the container according to the high-definition camera, the millimeter wave radar and the displacement sensor and sending the cargo state information to the data transmission module;
the container external state information includes: position information of the container and external shape information of the container;
The container internal environment state information includes: temperature and humidity data information, vibration data information and pressure data information;
The cargo state information in the container comprises: cargo breakage information, cargo inclination information, and cargo displacement distance information;
the data transmission module comprises a first transmission unit, a second transmission unit and a third transmission unit;
The first transmission unit is used for receiving the external state information of the container and sending the external state information to the data judging module;
the second transmission unit is used for receiving the internal environment state information of the container and sending the internal environment state information to the data judging module;
The third transmission unit is used for receiving the cargo state information in the container and sending the cargo state information to the data judging module;
the data judging module comprises a first judging unit, a second judging unit and a third judging unit;
the first judging unit is used for receiving the external state information of the container and judging, acquiring a first judging result and sending the first judging result to the data early warning module;
the second judging unit is used for receiving the internal environment state information of the container and judging, acquiring a second judging result and sending the second judging result to the data early warning module;
The third judging unit is used for receiving the cargo state information in the container and judging, acquiring a third judging result and sending the third judging result to the data early warning module;
Judging the external state information of the container, and acquiring a first judging result comprises the following steps: setting an external container deviation threshold and an external container deformation threshold, respectively comparing the external container state information with the deviation threshold and the deformation threshold, judging whether the external container state is in an abnormal state of deviation or deformation, and acquiring a first judgment result;
Judging the state information of the internal environment of the container, and acquiring a second judging result comprises the following steps: setting a temperature and humidity threshold value, a vibration threshold value and a pressure threshold value in the container, respectively comparing the internal environment state information of the container with the temperature and humidity threshold value, the vibration threshold value and the pressure threshold value, judging whether an abnormal state occurs in the internal state of the container, and acquiring a second judging result;
Judging the cargo state information in the container, and acquiring a third judging result comprises the following steps: setting a damage threshold value, an inclination threshold value and a cargo displacement distance threshold value of cargoes in the container, comparing the state information of the cargoes in the container with the damage threshold value, the inclination threshold value and the cargo displacement distance threshold value, judging whether abnormal states occur in the cargoes in the container, and acquiring a third judgment result;
The data early warning module comprises a first early warning unit, a second early warning unit and a third early warning unit;
the first early warning unit is used for early warning the abnormal state according to the first judging result, and the second early warning unit is used for early warning the abnormal state according to the second judging result;
the third early warning unit is used for early warning the abnormal state according to the third judging result;
The abnormal state comprises a first abnormal state, a second abnormal state and a third abnormal state;
the first abnormal state includes: the position of the container is shifted and/or the external shape of the container is deformed;
The second abnormal state includes: any one or more of temperature, humidity, vibration and pressure in the container exceeds a threshold value;
The third abnormal state includes: the goods in the container are damaged and/or inclined, or the displacement distance of the goods in the container exceeds a set threshold value.
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| CN202311450844.1A CN117451110B (en) | 2023-11-02 | 2023-11-02 | Railway container transportation state intelligent monitoring system based on thunder fusion |
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| CN218584104U (en) * | 2022-07-28 | 2023-03-07 | 漯河龙祥辐射技术有限公司 | Monitoring system for monitoring cargo operation condition |
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| CN112349072A (en) * | 2020-10-09 | 2021-02-09 | 广州市物联万方电子科技有限公司 | Container cargo monitoring method and device and monitoring terminal |
| KR20230050493A (en) * | 2021-10-07 | 2023-04-17 | 쓰리에이로직스(주) | Data logger for processing logistics-related information and cold container including the same |
| CN114154933A (en) * | 2021-12-08 | 2022-03-08 | 巨化集团公司汽车运输有限公司 | Informatization logistics management system |
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| CN103869789A (en) * | 2014-03-26 | 2014-06-18 | 卢大伟 | Transported cargo quality monitoring method and system based on internet of things |
| CN115965885A (en) * | 2021-10-12 | 2023-04-14 | 中集飞瞳(上海)科技有限公司 | System and method for detecting damage of container |
| CN218584104U (en) * | 2022-07-28 | 2023-03-07 | 漯河龙祥辐射技术有限公司 | Monitoring system for monitoring cargo operation condition |
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