CN111967818A - Catering logistics distribution method and system based on regional risk identification - Google Patents
Catering logistics distribution method and system based on regional risk identification Download PDFInfo
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- 238000007872 degassing Methods 0.000 description 2
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Abstract
The invention relates to a catering logistics distribution method and a system based on regional risk identification, wherein the method comprises the following steps: acquiring order information of a user; acquiring a delivery address according to the order information; inquiring the risk degree of the area where the distribution address is located in a map server, wherein the map server receives reported risk information of each geographic position and/or actively acquires risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information; and processing the corresponding orders in different delivery modes according to the risk degree of the area where the delivery address is located.
Description
Technical Field
The invention relates to the technical field of catering distribution, in particular to a catering logistics distribution method and a catering logistics distribution system based on regional risk identification.
Background
In the existing takeaway delivery method, a takeaway merchant usually issues delivery orders through a network platform, a background distributes the orders to delivery personnel, the delivery personnel performs order grabbing, and then the delivery personnel autonomously selects a route and delivers related takeaway orders within a specified time.
With the development of unmanned aerial vehicle technology, the delivery mode of taking out through unmanned aerial vehicle also can be used in taking out delivery gradually.
However, different distribution modes are actively selected by merchants or platforms, and the environment suitable for differences among the different distribution modes is not considered, and a technical means capable of automatically matching the optimal distribution mode among the multiple distribution modes according to risk information corresponding to the distribution addresses is lacked in the prior art.
Disclosure of Invention
The purpose of the invention is as follows:
in order to overcome the defects in the background art, the embodiment of the invention provides a catering logistics distribution method and a catering logistics distribution system based on regional risk identification, which can effectively solve the problems related to the background art.
The technical scheme is as follows:
a catering logistics distribution method based on regional risk identification, the method comprising:
acquiring order information of a user;
acquiring a delivery address according to the order information;
inquiring the risk degree of the area where the distribution address is located in a map server, wherein the map server receives reported risk information of each geographic position and/or actively acquires risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information;
and processing the corresponding orders in different delivery modes according to the risk degree of the area where the delivery address is located.
As a preferred mode of the present invention, the risk information includes epidemic situation risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
As a preferred aspect of the present invention, the processing of different delivery modes for the corresponding order according to the risk level of the area where the delivery address is located includes:
when the acquired risk degree of the area where the distribution address is located is high risk of an epidemic situation or risk in the epidemic situation, carrying out unmanned aerial vehicle distribution processing on the corresponding order, and disinfecting the outer package of the order by the unmanned aerial vehicle in the distribution process;
and when the acquired risk degree of the area where the distribution address is located is low risk of epidemic situation, carrying out manual distribution on the corresponding order.
As a preferred mode of the present invention, the risk information includes flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
As a preferred aspect of the present invention, the processing of different delivery modes for the corresponding order according to the risk level of the area where the delivery address is located includes:
when the risk degree of the area where the distribution address is located is acquired to be a high risk of flooding, carrying out unmanned aerial vehicle distribution processing on the corresponding order;
and when the risk degree of the area where the distribution address is obtained is the low risk of flooding, performing manual distribution on the corresponding order.
A catering logistics distribution system based on regional risk identification, the system comprising:
the order information acquisition module is used for acquiring the order information of the user;
the distribution address acquisition module is used for acquiring a distribution address according to the order information;
the risk degree query module is used for querying the risk degree of the area where the distribution address is located in the map server;
the map server is used for receiving the reported risk information of each geographic position and/or actively acquiring the risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information;
and the delivery processing module is used for processing the corresponding orders in different delivery modes according to the risk degree of the area where the delivery address is located.
As a preferred mode of the present invention, the risk information includes epidemic situation risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
As a preferred aspect of the present invention, the delivery processing module includes:
the first unmanned aerial vehicle distribution processing module is used for executing unmanned aerial vehicle distribution processing on the corresponding order when the acquired risk degree of the area where the distribution address is located is high risk of an epidemic situation or risk in the epidemic situation, and disinfecting the external package of the order through the unmanned aerial vehicle in the distribution process;
and the first manual delivery processing module is used for executing manual delivery on the corresponding order when the risk degree of the area where the delivery address is obtained is low risk of epidemic situation.
As a preferred mode of the present invention, the risk information includes flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
As a preferred aspect of the present invention, the delivery processing module includes:
the second unmanned aerial vehicle distribution processing module is used for executing unmanned aerial vehicle distribution processing on the corresponding order when the risk degree of the area where the distribution address is obtained is the high risk of flooding;
and the second manual delivery processing module is used for executing manual delivery on the corresponding order when the risk degree of the area where the delivery address is obtained is the low risk of flooding.
The invention realizes the following beneficial effects:
1. according to the invention, the epidemic situation risk degree of the area where the corresponding delivery address is located can be inquired according to the order information, the unmanned aerial vehicle delivery processing is carried out on the corresponding order when the risk degree is judged to be high risk or medium risk of the epidemic situation, the unmanned aerial vehicle is used for disinfecting the outer package of the order in the delivery process, and the manual delivery is carried out on the corresponding order when the risk degree is judged to be medium risk of the epidemic situation; therefore, the best distribution mode can be automatically matched in different distribution modes according to the epidemic situation risk information corresponding to the distribution address, and the distribution experience is improved.
2. According to the invention, the flooding risk degree of the area where the corresponding delivery address is located can be inquired according to the order information, the unmanned aerial vehicle delivery processing is executed on the corresponding order when the risk degree is judged to be a high flooding risk, and the manual delivery is executed on the corresponding order when the risk degree is judged to be a low flooding risk; therefore, the optimal distribution mode can be automatically matched in different distribution modes according to the flooding risk information corresponding to the distribution address, and distribution experience is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow chart of a catering logistics distribution method based on regional risk identification according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a catering logistics distribution method based on regional risk identification according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a food and beverage logistics distribution system based on regional risk identification according to a third embodiment of the present invention;
fig. 4 is another schematic structural diagram of a restaurant logistics distribution system based on area risk identification according to a third embodiment of the present invention.
Detailed Description
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.
Example one
As shown with reference to fig. 1. The embodiment provides a catering logistics distribution method based on regional risk identification, which comprises the following steps:
and S10, obtaining order information of the user.
The order information in this embodiment is specifically order information of the take-away client, and when the take-away client detects that a user places an order, the corresponding order information is acquired.
And S11, acquiring a delivery address according to the order information.
And S12, inquiring the risk degree of the area where the distribution address is located in the map server, wherein the map server receives the reported risk information of each geographic position and/or actively acquires the risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information.
In this embodiment, the risk information includes epidemic situation risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
In this embodiment, the map server is a cloud server, and a user can log in the map server through a terminal, upload epidemic situation risk information corresponding to a geographic location, and upload a certificate corresponding to the epidemic situation risk information, such as a health code; the map server collects epidemic situation risk information uploaded by the user, and marks the risk degree of each area according to the epidemic situation risk information, for example, when the geographic position is A and the risk degree is high risk of an epidemic situation, marks the risk degree of the area where A is located as high risk of the epidemic situation.
In addition, the map server acquires the epidemic situation risk information corresponding to the area where the delivery address is located in an active acquisition mode, and specifically, the map server can inquire the risk information corresponding to the area where the delivery address is located by logging in an official epidemic situation risk inquiry system.
When the take-out client side obtains the delivery address corresponding to the order information, the risk degree of the area where the delivery address is located is inquired in the map server.
S13, processing the corresponding order in different delivery modes according to the risk level of the area where the delivery address is located, including: when the acquired risk degree of the area where the distribution address is located is high risk of an epidemic situation or risk in the epidemic situation, carrying out unmanned aerial vehicle distribution processing on the corresponding order, and disinfecting the outer package of the order by the unmanned aerial vehicle in the distribution process; and when the acquired risk degree of the area where the distribution address is located is low risk of epidemic situation, carrying out manual distribution on the corresponding order.
After the takeout client inquires the risk degree of the area where the distribution address is located, judging the risk degree, and when the risk degree is judged to be a high risk or a medium risk of an epidemic situation, outputting the processing information of unmanned aerial vehicle distribution to the corresponding order, specifically outputting the processing information to an unmanned aerial vehicle distribution system to be distributed, and outputting the order information to the unmanned aerial vehicle distribution system, wherein the unmanned aerial vehicle distribution system controls a shop corresponding to the order information when the unmanned aerial vehicle to be distributed flies after receiving the processing information and the order information, and before taking off, disinfecting the outer package of the order by using a disinfection device arranged on the unmanned aerial vehicle; wherein, degassing unit adopts automatic disinfection device, through this degassing unit's setting, can automatic release disinfectant liquid spray the antiseptic solution in order to disinfect to the extranal packing of the order that the below hangs.
And when the takeout client judges that the risk degree is low risk of the epidemic situation, outputting the processing information of manual delivery to the corresponding order, and then adopting a normal delivery mechanism for the corresponding order, namely adopting delivery personnel to deliver.
By implementing the content, the epidemic situation risk degree of the area where the corresponding delivery address is located can be inquired according to the order information, the unmanned aerial vehicle delivery processing is executed on the corresponding order when the risk degree is judged to be high risk or medium risk of the epidemic situation, the unmanned aerial vehicle is used for disinfecting the outer package of the order in the delivery process, and the manual delivery is executed on the corresponding order when the risk degree is judged to be medium risk of the epidemic situation; therefore, the best distribution mode can be automatically matched in different distribution modes according to the epidemic situation risk information corresponding to the distribution address, and the distribution experience is improved.
Example two
As shown with reference to fig. 2. The embodiment provides a catering logistics distribution method based on regional risk identification, which comprises the following steps:
and S20, obtaining order information of the user.
The order information in this embodiment is specifically order information of the take-away client, and when the take-away client detects that a user places an order, the corresponding order information is acquired.
And S21, acquiring a delivery address according to the order information.
And S22, inquiring the risk degree of the area where the distribution address is located in the map server, wherein the map server receives the reported risk information of each geographic position and/or actively acquires the risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information.
The risk information comprises flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
In this embodiment, the map server is a cloud server, and a user can log in the map server through a terminal and upload flooding risk information corresponding to a geographical position, where the flooding risk information further includes a flooding depth.
And uploading a voucher corresponding to the flooding risk information, such as a picture or a video carrying the geographical position; the map server collects the flooding risk information uploaded by the user, marks risk degrees of each area according to the flooding risk information, specifically judges the flooding depth in the flooding risk information, judges whether the flooding depth exceeds a preset depth value or not, or obtains the height of a battery of a delivery vehicle (such as an electric vehicle) in advance, judges whether the flooding depth exceeds the height of the battery or not, if so, the delivery vehicle cannot normally pass through a flooding road section, namely, the risk degree corresponding to the geographic position is considered as a flooding high risk, otherwise, the risk degree corresponding to the geographic position is considered as a flooding low risk, and in a road section without flooding, the risk degree corresponding to the geographic position is also considered as a flooding low risk.
It should be further noted that, when the above-mentioned risk degree is determined, it is also determined whether all the delivery routes arriving at the delivery address have a condition that the delivery vehicles cannot normally pass through, if there is a spare route that can normally pass through, the spare route is considered as a low risk of flooding, and the route that can normally pass through is taken as a target route to output to the delivery personnel.
For example, when the geographical position is a and the risk degree is a high risk of flooding, the area where a is located is marked with the high risk of flooding.
In addition, the map server also acquires the risk information corresponding to the area where the delivery address is located in an active acquisition mode, and specifically, the flooding risk information corresponding to the area where the delivery address is located can be inquired on each news website or social network through a data mining means.
When the take-out client side obtains the delivery address corresponding to the order information, the risk degree of the area where the delivery address is located is inquired in the map server.
S23, processing the corresponding order in different delivery modes according to the risk level of the area where the delivery address is located, including: when the risk degree of the area where the distribution address is located is acquired to be a high risk of flooding, carrying out unmanned aerial vehicle distribution processing on the corresponding order; and when the risk degree of the area where the distribution address is obtained is the low risk of flooding, performing manual distribution on the corresponding order.
After the takeout client inquires the risk degree of the area where the delivery address is located, the takeout client judges the risk degree, when the risk degree is judged to be a high flooding risk, processing information of unmanned aerial vehicle delivery is output to an order corresponding to the takeout client, specifically, the processing information can be output to an unmanned aerial vehicle allocation system to be delivered, the order information is output to the unmanned aerial vehicle allocation system, and the unmanned aerial vehicle allocation system receives the processing information and the order information, controls a shop corresponding to the order information when the unmanned aerial vehicle to be delivered flies, and flies to the delivery address to deliver after the order is assembled.
And when the takeout client judges that the risk degree is the low risk of flooding, outputting the processing information of manual delivery to the corresponding order, and then adopting a normal delivery mechanism for the corresponding order, namely adopting delivery personnel to deliver.
Through the implementation of the content, the flooding risk degree of the area where the corresponding delivery address is located can be inquired according to the order information, the unmanned aerial vehicle delivery processing is executed on the corresponding order when the risk degree is judged to be high flooding risk, and the manual delivery is executed on the corresponding order when the risk degree is judged to be low flooding risk; therefore, the optimal distribution mode can be automatically matched in different distribution modes according to the flooding risk information corresponding to the distribution address, and distribution experience is improved.
EXAMPLE III
As shown with reference to fig. 3 and 4. The embodiment provides a catering logistics distribution system based on regional risk identification, the system includes:
the order information obtaining module 30 is configured to obtain order information of a user.
A delivery address obtaining module 31, configured to obtain a delivery address according to the order information.
A risk level query module 32, configured to query the map server 33 for a risk level of the area where the delivery address is located.
And the map server 33 is configured to receive the reported risk information of each geographic location and/or actively acquire risk information corresponding to the area where the distribution address is located, and mark the risk degree of each area according to the risk information.
And the delivery processing module 34 is configured to perform processing of different delivery modes on the corresponding order according to the risk degree of the area where the delivery address is located.
The risk information comprises epidemic situation risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
The delivery processing module 34 includes:
the first unmanned aerial vehicle distribution processing module 340 executes unmanned aerial vehicle distribution processing on the corresponding order when the acquired risk degree of the area where the distribution address is located is high risk of the epidemic situation or medium risk of the epidemic situation, and sterilizes the outer package of the order through the unmanned aerial vehicle in the distribution process.
The first manual delivery processing module 341 is configured to, when the risk degree of the area where the delivery address is obtained is low risk, perform manual delivery on the order corresponding to the delivery address.
The risk information comprises flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
The delivery processing module 34 includes:
and the second unmanned aerial vehicle delivery processing module 342 is configured to, when the risk degree of the area where the delivery address is obtained is a high risk of flooding, perform unmanned aerial vehicle delivery processing on the corresponding order.
And the second manual delivery processing module 343 is configured to, when the risk level of the area where the delivery address is obtained is a low risk of flooding, perform manual delivery on the corresponding order.
The implementation process of this embodiment is the same as that of the first and second embodiments, and the above contents are specifically referred to.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. A catering logistics distribution method based on regional risk identification is characterized by comprising the following steps:
acquiring order information of a user;
acquiring a delivery address according to the order information;
inquiring the risk degree of the area where the distribution address is located in a map server, wherein the map server receives reported risk information of each geographic position and/or actively acquires risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information;
and processing the corresponding orders in different delivery modes according to the risk degree of the area where the delivery address is located.
2. The catering logistics distribution method based on regional risk identification as claimed in claim 1, wherein the risk information comprises epidemic risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
3. The catering logistics distribution method based on regional risk identification as claimed in claim 2, wherein the processing of different distribution modes for the corresponding orders according to the risk degree of the area where the distribution address is located comprises:
when the acquired risk degree of the area where the distribution address is located is high risk of an epidemic situation or risk in the epidemic situation, carrying out unmanned aerial vehicle distribution processing on the corresponding order, and disinfecting the outer package of the order by the unmanned aerial vehicle in the distribution process;
and when the acquired risk degree of the area where the distribution address is located is low risk of epidemic situation, carrying out manual distribution on the corresponding order.
4. The catering logistics distribution method based on regional risk identification as claimed in claim 1, wherein the risk information comprises flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
5. The catering logistics distribution method based on regional risk identification as claimed in claim 4, wherein the processing of different distribution modes for the corresponding orders according to the risk degree of the area where the distribution address is located comprises:
when the risk degree of the area where the distribution address is located is acquired to be a high risk of flooding, carrying out unmanned aerial vehicle distribution processing on the corresponding order;
and when the risk degree of the area where the distribution address is obtained is the low risk of flooding, performing manual distribution on the corresponding order.
6. A catering logistics distribution system based on regional risk identification, the system comprising:
the order information acquisition module is used for acquiring the order information of the user;
the distribution address acquisition module is used for acquiring a distribution address according to the order information;
the risk degree query module is used for querying the risk degree of the area where the distribution address is located in the map server;
the map server is used for receiving the reported risk information of each geographic position and/or actively acquiring the risk information corresponding to the area where the distribution address is located, and marking the risk degree of each area according to the risk information;
and the delivery processing module is used for processing the corresponding orders in different delivery modes according to the risk degree of the area where the delivery address is located.
7. The catering logistics distribution system based on regional risk identification according to claim 6, wherein the risk information comprises epidemic risk information; the risk degree comprises high risk of epidemic, risk in epidemic and low risk of epidemic.
8. The catering logistics distribution system based on area risk identification of claim 7, wherein the distribution processing module comprises:
the first unmanned aerial vehicle distribution processing module is used for executing unmanned aerial vehicle distribution processing on the corresponding order when the acquired risk degree of the area where the distribution address is located is high risk of an epidemic situation or risk in the epidemic situation, and disinfecting the external package of the order through the unmanned aerial vehicle in the distribution process;
and the first manual delivery processing module is used for executing manual delivery on the corresponding order when the risk degree of the area where the delivery address is obtained is low risk of epidemic situation.
9. The restaurant logistics distribution system based on regional risk identification of claim 6, wherein the risk information comprises flooding risk information; the risk degree comprises a high risk of flooding and a low risk of flooding; and the wading depth of the distribution route corresponding to the high risk of the flooding enables the distribution vehicle not to normally pass through, and the wading depth of the distribution route corresponding to the low risk of the flooding enables the distribution vehicle to normally pass through.
10. The catering logistics distribution system based on area risk identification according to claim 9, wherein the distribution processing module comprises:
the second unmanned aerial vehicle distribution processing module is used for executing unmanned aerial vehicle distribution processing on the corresponding order when the risk degree of the area where the distribution address is obtained is the high risk of flooding;
and the second manual delivery processing module is used for executing manual delivery on the corresponding order when the risk degree of the area where the delivery address is obtained is the low risk of flooding.
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| CN113298468A (en) * | 2021-05-25 | 2021-08-24 | 北京京东振世信息技术有限公司 | Logistics data processing method, device, medium and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112163804A (en) * | 2020-09-07 | 2021-01-01 | 深圳优地科技有限公司 | Commodity distribution method, terminal and storage medium |
| CN112163804B (en) * | 2020-09-07 | 2024-06-18 | 深圳优地科技有限公司 | Commodity distribution method, terminal and storage medium |
| CN112884430A (en) * | 2021-01-26 | 2021-06-01 | 颜妍 | Examination management system and method based on big data |
| CN113077206A (en) * | 2021-03-15 | 2021-07-06 | 深圳优地科技有限公司 | Goods distribution method, robot, equipment and storage medium for epidemic prevention area |
| CN113298468A (en) * | 2021-05-25 | 2021-08-24 | 北京京东振世信息技术有限公司 | Logistics data processing method, device, medium and electronic equipment |
| CN113298468B (en) * | 2021-05-25 | 2024-09-24 | 北京京东振世信息技术有限公司 | Logistics data processing method and device, medium and electronic equipment |
| CN113408982A (en) * | 2021-06-17 | 2021-09-17 | 深圳市政元软件有限公司 | Inventory management method and system for electronic commerce |
| CN113408982B (en) * | 2021-06-17 | 2022-08-23 | 深圳市政元软件有限公司 | Inventory management method and system for electronic commerce |
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