CN112034910A - Logistics container monitoring platform based on big data - Google Patents
Logistics container monitoring platform based on big data Download PDFInfo
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- CN112034910A CN112034910A CN202010855536.7A CN202010855536A CN112034910A CN 112034910 A CN112034910 A CN 112034910A CN 202010855536 A CN202010855536 A CN 202010855536A CN 112034910 A CN112034910 A CN 112034910A
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Abstract
The application discloses a logistics container monitoring platform based on big data, which comprises a data acquisition module, wherein the data acquisition module comprises a temperature acquisition module, a humidity acquisition module, an image acquisition module, a gas detection module, a power supply module and a signal sending module; the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are electrically connected with the power supply module; the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are in signal connection with the signal sending module; the temperature acquisition module is used for acquiring real-time temperature data in the logistics container so as to judge the relationship between the deterioration and the temperature of the goods. This scheme can the analysis temperature humidity and the rotten relation between the degree of fruit to accurate temperature regulation and humidity, and the rotten degree of goods in the real-time supervision container is convenient for in time take out rotten fruit.
Description
Technical Field
The application relates to the technical field of logistics, in particular to a logistics container monitoring platform based on big data.
Background
The existing society is a society with high-speed development, developed science and technology and information circulation, people communicate with each other more and more closely, the life is more and more convenient, and big data is a product of the high-tech era. Big data (big data), an IT industry term, refers to a data set that cannot be captured, managed, and processed with a conventional software tool within a certain time range, and is a massive, high-growth-rate, diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power, and process optimization capability.
The commodity circulation container can transport various goods, wherein fruit is the difficult problem of transportation, fruit is in storage and transportation, it is perishable, fruit rotten is generally alleviated with the mode that takes the lowering temperature when transportation to present fruit, however, the temperature that different fruit is suitable for is different, a lot of factory buildings and transport vechicle can temperature regulation and humidity, however, do not have specific data to support, can't obtain a balance point between economy and practicality, the rotten degree of goods in the unable real-time supervision container of current commodity circulation container, be not convenient for in time take out rotten fruit, arouse the sales accident when selling easily.
Disclosure of Invention
The utility model provides a main aim at provides a commodity circulation container monitor platform based on big data to can't accurate temperature regulation and humidity in improving the correlation technique, and the rotten degree of goods in the unable real-time supervision container, the problem that the fruit that is not convenient for in time will rotten takes out.
In order to achieve the above object, the present application provides a logistics container monitoring platform based on big data, which comprises
The data acquisition module comprises a temperature acquisition module, a humidity acquisition module, an image acquisition module, a gas detection module, a power supply module and a signal sending module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are electrically connected with the power supply module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are in signal connection with the signal sending module;
the temperature acquisition module is used for acquiring real-time temperature data in the logistics container so as to judge the relationship between the deterioration and the temperature of the goods;
the humidity acquisition module is used for acquiring humidity data in the logistics container so as to judge the relationship between the deterioration speed and the humidity of the goods;
the image acquisition module is used for acquiring cargo image data in the logistics container so as to judge the deterioration degree of the cargo from the characteristic change of the surface of the cargo;
the gas detection module is used for collecting gas data emitted by the cargo in the logistics container; so as to judge the deterioration degree of the goods from the odor emitted by the goods;
the data processing module comprises a signal receiving module and a data processing module;
the signal receiving module is in signal connection with the signal sending module and is used for receiving the acquired data;
the data processing module is electrically connected with the signal receiving module and is used for analyzing the data acquired by the image acquisition module, analyzing the change of the surface of the goods and judging the deterioration degree of the goods; the data processing module can also be used for analyzing the gas detected by the gas detection module and analyzing the detected gas type so as to judge the deterioration degree of the goods;
the feedback module, the feedback module includes display module, alarm module and orientation module, orientation module sets up in the logistics container, orientation module and data processing module signal connection, data processing module send the serial number of unusual logistics container for orientation module, orientation module and display module signal connection can show the position of unusual logistics container on display module, and alarm module and data processing module electric connection can send out the alarm when detecting that the commodity is unusual in the thing flow box.
In an embodiment of the present application, the data collection module further includes a weight collection module, the weight collection module is disposed on an upper side of a bottom wall of the logistics container, and the weight collection module is used for collecting cargo weight data in the logistics container.
In an embodiment of the present application, the central processing module further includes a data storage module, the data storage module is electrically connected to the data processing module, and the data storage module is used for storing data.
In one embodiment of the present application, the temperature acquisition module is configured as an electronic thermometer.
In one embodiment of the present application, the humidity acquisition module is configured as a humidity sensor.
In an embodiment of the present application, the image acquisition module includes a high definition camera and a lighting lamp.
In one embodiment of the present application, the display module is configured as an LED display screen.
In one embodiment of the present application, the alarm module is configured as an electronic alarm.
In one embodiment of the present application, the gas detection module is configured as a gas detector.
Compared with the prior art, the beneficial effects of this application are: when the logistics container monitoring platform based on big data is used, the data processing module is used for analyzing the data acquired by the image acquisition module, analyzing the change of the surface of the goods and judging the deterioration degree of the goods; the data processing module can also be used for analyzing the gas detected by the gas detection module and analyzing the detected gas type so as to judge the deterioration degree of the goods; the proper temperature and humidity of the fruits can be obtained by comparing different temperatures and humidities with the rotting degree, so that the proper temperature and humidity can be accurately adjusted; the color and rotten spot information of the surface of the fruit are acquired through the image acquisition module, so that the fruit rotting judgment method is more accurate, and the gas detection module is arranged, so that the specific gas information emitted by the rotten fruit can be detected, and the rotten fruit judgment accuracy is further improved; set up positioner, can accurately seek the position of rotten fruit, be convenient for in time reject.
Drawings
Fig. 1 is a system block diagram of a big data-based logistics container monitoring platform provided according to an embodiment of the present application;
fig. 2 is a system block diagram of a data acquisition module of a logistics container monitoring platform based on big data according to an embodiment of the application;
fig. 3 is a system block diagram of a central processing module of a big-data-based logistics container monitoring platform according to an embodiment of the application;
fig. 4 is a system block diagram of a feedback module of a logistics container monitoring platform based on big data according to an embodiment of the application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example 1
Referring to fig. 1, the present application provides a logistics container monitoring platform based on big data, which includes a data acquisition module, a central processing module, and a feedback module.
Referring to fig. 2, the data acquisition module includes a temperature acquisition module, a humidity acquisition module, an image acquisition module, a gas detection module, a power supply module, and a signal transmission module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are electrically connected with the power supply module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are in signal connection with the signal sending module;
the temperature acquisition module is used for acquiring real-time temperature data in the logistics container so as to judge the relationship between the deterioration and the temperature of the goods;
the humidity acquisition module is used for acquiring humidity data in the logistics container so as to judge the relationship between the deterioration speed and the humidity of the goods;
the temperature acquisition module is set as an electronic thermometer, and the humidity acquisition module is set as a humidity sensor.
The image acquisition module is used for acquiring cargo image data in the logistics container so as to judge the deterioration degree of the cargo from the characteristic change of the surface of the cargo; the image acquisition module comprises a high-definition camera and an illuminating lamp.
The gas detection module is used for collecting gas data emitted by the cargo in the logistics container; so as to judge the deterioration degree of the goods from the odor emitted by the goods; the gas detection module is set as a gas detector.
Gather the colour on fruit surface and rot the spot information through image acquisition module, it is more accurate to set up gaseous detection module, the distinctive gaseous information that detectable fruit rotten and gave out further improves the rotten accurate nature of judgement of fruit.
The data acquisition module further comprises a weight acquisition module, the weight acquisition module is arranged on the upper side of the bottom wall of the logistics container, and the weight acquisition module is used for acquiring cargo weight data in the logistics container.
Referring to fig. 3, the data processing module includes a signal receiving module and a data processing module;
the signal receiving module is in signal connection with the signal sending module and is used for receiving the acquired data;
the data processing module is electrically connected with the signal receiving module and is used for analyzing the data acquired by the image acquisition module, analyzing the change of the surface of the goods and judging the deterioration degree of the goods; the data processing module can also be used for analyzing the gas detected by the gas detection module and analyzing the detected gas type so as to judge the deterioration degree of the goods;
the proper temperature and humidity of the fruits can be obtained by comparing different temperatures and humidities with the rotting degree, so that the proper temperature and humidity can be accurately adjusted;
the central processing module further comprises a data storage module, the data storage module is electrically connected with the data processing module, and the data storage module is used for storing data.
Referring to fig. 4, the feedback module includes a display module, an alarm module and a positioning module, the positioning module is disposed in the logistics container, the positioning module is in signal connection with the data processing module, the data processing module sends the serial number of the abnormal logistics container to the positioning module, the positioning module is in signal connection with the display module, the position of the abnormal logistics container can be displayed on the display module, the alarm module is electrically connected with the data processing module, and when the abnormal goods in the logistics container are detected, an alarm can be given. The display module is set as an LED display screen. The alarm module is configured as an electronic alarm.
Set up positioner, can accurately seek the position of rotten fruit, be convenient for in time reject.
Specifically, the working principle of the logistics container monitoring platform based on big data is as follows: when the device is used, the data processing module is used for analyzing the data acquired by the image acquisition module, analyzing the change of the surface of the goods and judging the deterioration degree of the goods; the data processing module can also be used for analyzing the gas detected by the gas detection module and analyzing the detected gas type so as to judge the deterioration degree of the goods; the proper temperature and humidity of the fruits can be obtained by comparing different temperatures and humidities with the rotting degree, so that the proper temperature and humidity can be accurately adjusted; the color and rotten spot information of the surface of the fruit are acquired through the image acquisition module, so that the fruit rotting judgment method is more accurate, and the gas detection module is arranged, so that the specific gas information emitted by the rotten fruit can be detected, and the rotten fruit judgment accuracy is further improved; set up positioner, can accurately seek the position of rotten fruit, be convenient for in time reject.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A logistics container monitoring platform based on big data is characterized by comprising
The data acquisition module comprises a temperature acquisition module, a humidity acquisition module, an image acquisition module, a gas detection module, a power supply module and a signal sending module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are electrically connected with the power supply module;
the temperature acquisition module, the humidity acquisition module, the image acquisition module and the gas detection module are in signal connection with the signal sending module;
the temperature acquisition module is used for acquiring real-time temperature data in the logistics container so as to judge the relationship between the deterioration and the temperature of the goods;
the humidity acquisition module is used for acquiring humidity data in the logistics container so as to judge the relationship between the deterioration speed and the humidity of the goods;
the image acquisition module is used for acquiring cargo image data in the logistics container so as to judge the deterioration degree of the cargo from the characteristic change of the surface of the cargo;
the gas detection module is used for collecting gas data emitted by the cargo in the logistics container; so as to judge the deterioration degree of the goods from the odor emitted by the goods;
the data processing module comprises a signal receiving module and a data processing module;
the signal receiving module is in signal connection with the signal sending module and is used for receiving the acquired data;
the data processing module is electrically connected with the signal receiving module and is used for analyzing the data acquired by the image acquisition module, analyzing the change of the surface of the goods and judging the deterioration degree of the goods; the data processing module can also be used for analyzing the gas detected by the gas detection module and analyzing the detected gas type so as to judge the deterioration degree of the goods;
the feedback module, the feedback module includes display module, alarm module and orientation module, orientation module sets up in the logistics container, orientation module and data processing module signal connection, data processing module send the serial number of unusual logistics container for orientation module, orientation module and display module signal connection can show the position of unusual logistics container on display module, and alarm module and data processing module electric connection can send out the alarm when detecting that the commodity is unusual in the thing flow box.
2. The logistics container monitoring platform based on big data as claimed in claim 1, wherein the data collection module further comprises a weight collection module, the weight collection module is disposed on the upper side of the bottom wall of the logistics container, and the weight collection module is used for collecting cargo weight data in the logistics container.
3. The logistics container monitoring platform of claim 1, wherein the central processing module further comprises a data storage module, the data storage module is electrically connected with the data processing module, and the data storage module is used for storing data.
4. The logistics container monitoring platform based on big data as claimed in claim 1, wherein the temperature collection module is configured as an electronic thermometer.
5. The logistics container monitoring platform of claim 1, wherein the humidity acquisition module is configured as a humidity sensor.
6. The logistics container monitoring platform of claim 1, wherein the image acquisition module comprises a high-definition camera and a lighting lamp.
7. The logistics container monitoring platform based on big data as claimed in claim 1, wherein the display module is configured as an LED display screen.
8. The big-data-based logistics container monitoring platform of claim 1, wherein the alarm module is configured as an electronic alarm.
9. The big-data based logistics container monitoring platform of claim 1, wherein the gas detection module is configured as a gas detector.
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| CN202010855536.7A CN112034910A (en) | 2020-08-24 | 2020-08-24 | Logistics container monitoring platform based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115465580A (en) * | 2021-11-30 | 2022-12-13 | 迦宁智能***(上海)有限公司 | Container temperature control and early warning system |
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