CN213362946U - Logistics cold source presetting system based on artificial intelligence - Google Patents
Logistics cold source presetting system based on artificial intelligence Download PDFInfo
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- CN213362946U CN213362946U CN202022387666.0U CN202022387666U CN213362946U CN 213362946 U CN213362946 U CN 213362946U CN 202022387666 U CN202022387666 U CN 202022387666U CN 213362946 U CN213362946 U CN 213362946U
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Abstract
The utility model relates to an intelligence logistics system field especially relates to a commodity circulation cold source preset system based on artificial intelligence, including image acquisition device, weighing device, image identification module, wireless communication module, water injection device and system ice device. Because the actual conditions such as the kind and the weight of according to the goods carry out the analysis, determine reasonable water injection for the water yield in the cryogen package is comparatively suitable, avoids appearing the circumstances that the cryogen package is not enough or the excess.
Description
Technical Field
The utility model relates to an intelligence logistics system field especially relates to a commodity circulation cold source preset system based on artificial intelligence.
Background
In the logistics cold chain transportation of fresh goods, a refrigerant bag is required to be added into a packaging box so as to maintain the temperature in the packaging box.
At present, most of the refrigerant bags with the same specification and weight are preset, and the refrigerant bags with the standard specification are directly put into a packing box during packing. The existing mode may have insufficient or excessive refrigerant bags, if the amount of the refrigerant bags is insufficient, the fresh-keeping of goods is affected, and if the amount of the refrigerant bags is excessive, the waste of logistics resources is caused.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that overcome exist among the prior art not enough, provide a commodity circulation cold source based on artificial intelligence and preset the system.
The utility model discloses a realize through following technical scheme:
logistics cold source preset system based on artificial intelligence includes:
the image acquisition device is used for acquiring an image of the goods to be packaged and outputting the acquired image;
the weighing device is used for measuring the weight of the goods to be packaged and outputting weight data of the goods;
the image recognition module is connected with the output end of the image acquisition device and used for receiving the image output by the image acquisition device and recognizing the acquired image;
the wireless communication module is connected with the output end of the image recognition module, connected with the output end of the weighing device and used for sending the cargo weight data and the image recognition result to the background system and receiving the flow control signal returned by the background system;
the water injection device is connected with the wireless communication module, receives the flow control signal output by the wireless communication module, and controls the water injection amount into the refrigerant bag based on the flow control signal;
the ice making device makes ice by using a refrigerant bag filled with water.
The above system further comprises: the water injection device comprises a water injection pump connected with the water storage bin through a water pipe and an electromagnetic flow valve connected with a water outlet of the water injection pump.
The image acquisition device is a camera.
The wireless communication module is a Bluetooth module or a WIFI module.
The utility model has the advantages that:
because the actual conditions such as the kind and the weight of according to the goods carry out the analysis, determine reasonable water injection for the water yield in the cryogen package is comparatively suitable, avoids appearing the circumstances that the cryogen package is not enough or the excess.
Drawings
Fig. 1 is a schematic view of the connection structure of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to the accompanying drawings and preferred embodiments.
As shown in the figure, the utility model provides a commodity circulation cold source preset system based on artificial intelligence, include:
the image acquisition device is used for acquiring an image of the goods to be packaged and outputting the acquired image;
the weighing device is used for measuring the weight of the goods to be packaged and outputting weight data of the goods;
the image recognition module is connected with the output end of the image acquisition device and used for receiving the image output by the image acquisition device and recognizing the acquired image;
the wireless communication module is connected with the output end of the image recognition module, connected with the output end of the weighing device and used for sending the cargo weight data and the image recognition result to the background system and receiving the flow control signal returned by the background system;
the water injection device is connected with the wireless communication module, receives the flow control signal output by the wireless communication module, and controls the water injection amount into the refrigerant bag based on the flow control signal;
the ice making device makes ice by using a refrigerant bag filled with water.
In the embodiment of the application, the image of the goods can be acquired by the image acquisition device, and the refrigerant water flow control module performs image recognition on the goods image so as to determine the kind of the goods and determine the required amount of water in the refrigerant bag based on the kind of the goods and the weighing result.
Specifically, the refrigerant water flow control module can be connected with the wireless communication module, and sends the type and the weight of the goods to the background system, and the background system can analyze the type of the goods, the weight of the goods, the travel information of the goods, the temperature and the humidity in the travel and the like, finally determine the amount of water in the refrigerant bag, and generate the flow control signal.
The water injection device can control the water injection amount into the refrigerant bag according to the flow control signal.
Because the actual conditions such as the kind and the weight of according to the goods carry out the analysis, determine reasonable water injection for the water yield in the cryogen package is comparatively suitable, avoids appearing the circumstances that the cryogen package is not enough or the excess.
Optionally, the water injection device comprises a water injection pump connected with the water storage bin through a water pipe, and an electromagnetic flow valve connected to a water outlet of the water injection pump.
The water inlet can be left to the cryogen package, and the outlet pipe of water injection pump can be with water leading-in to the cryogen package in, and electromagnetic flow valve monitors the water injection volume simultaneously, and when detecting that the water injection volume reaches the target value that flow control signal appointed, electromagnetic flow valve closes, and the water injection pump stop work simultaneously, then can seal the water inlet in the cryogen package to cool down the cryogen package through refrigerating plant, make the water in the cryogen package freeze.
The image acquisition device is a camera.
The wireless communication module is a Bluetooth module or a WIFI module.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (4)
1. Logistics cold source system of presetting based on artificial intelligence, its characterized in that includes:
the image acquisition device is used for acquiring an image of the goods to be packaged and outputting the acquired image;
the weighing device is used for measuring the weight of the goods to be packaged and outputting weight data of the goods;
the image recognition module is connected with the output end of the image acquisition device and used for receiving the image output by the image acquisition device and recognizing the acquired image;
the wireless communication module is connected with the output end of the image recognition module, connected with the output end of the weighing device and used for sending the cargo weight data and the image recognition result to the background system and receiving the flow control signal returned by the background system;
the water injection device is connected with the wireless communication module, receives the flow control signal output by the wireless communication module, and controls the water injection amount into the refrigerant bag based on the flow control signal;
the ice making device makes ice by using a refrigerant bag filled with water.
2. The artificial intelligence based logistics cold source presetting system as defined in claim 1, wherein the water injection device comprises a water injection pump connected with the water storage bin through a water pipe, and an electromagnetic flow valve connected to a water outlet of the water injection pump.
3. The artificial intelligence based logistics cold source presetting system as claimed in claim 1, wherein the image acquisition device is a camera.
4. The artificial intelligence based logistics cold source presetting system as claimed in claim 1, wherein the wireless communication module is a bluetooth module or a WIFI module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022387666.0U CN213362946U (en) | 2020-10-23 | 2020-10-23 | Logistics cold source presetting system based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022387666.0U CN213362946U (en) | 2020-10-23 | 2020-10-23 | Logistics cold source presetting system based on artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
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| CN213362946U true CN213362946U (en) | 2021-06-04 |
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| CN202022387666.0U Active CN213362946U (en) | 2020-10-23 | 2020-10-23 | Logistics cold source presetting system based on artificial intelligence |
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| CN (1) | CN213362946U (en) |
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- 2020-10-23 CN CN202022387666.0U patent/CN213362946U/en active Active
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