CN115545623B - Intelligent logistics cargo positioning monitoring method and device - Google Patents

Intelligent logistics cargo positioning monitoring method and device Download PDF

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CN115545623B
CN115545623B CN202211514978.0A CN202211514978A CN115545623B CN 115545623 B CN115545623 B CN 115545623B CN 202211514978 A CN202211514978 A CN 202211514978A CN 115545623 B CN115545623 B CN 115545623B
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data
information
vehicle
loading
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CN115545623A (en
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孙炜
周婷
姜佰胜
孙利平
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Shenzhen Zhongnong Yixun Information Technology Co ltd
Shenzhen Agricultural Products Co ltd
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Shenzhen Zhongnong Yixun Information Technology Co ltd
Shenzhen Agricultural Products Co ltd
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Abstract

The invention discloses an intelligent logistics goods positioning monitoring method and device, and relates to the technical field of intelligent logistics. In order to solve the problem that the logistic problem is too long to process and affect the cargo transportation efficiency because the cargo transportation and the vehicles cannot be subjected to data interaction. An intelligent logistics goods positioning monitoring method comprises a monitoring platform for monitoring logistics goods positioning and a monitoring method based on the monitoring platform, wherein the method comprises the following steps: positioning and monitoring the logistics warehouse-out; positioning and monitoring the loading vehicle; carrying out logistics transfer positioning monitoring; the customer determines the order, and the electronic tag is produced according to matching of the order and the goods, after the delivery information is acquired, the delivery information is fed back to the sending end and the receiving end respectively, and the receiving end and the sending end can track different links such as ordering, preparation, transportation and distribution of the goods in real time and present the goods in a visual information form, so that user experience is improved, and timeliness, reliability and efficiency of goods logistics management are improved.

Description

Intelligent logistics cargo positioning monitoring method and device
Technical Field
The invention relates to the technical field of intelligent logistics, in particular to an intelligent logistics goods positioning and monitoring method and device.
Background
With the rapid development of electronic commerce, the logistics transportation industry needs a faster, more convenient and modern means, so that the China logistics industry is promoted to keep a faster growth speed, a logistics system is continuously perfected, and the industry operation is increasingly mature and standard. For the method for positioning and monitoring logistics cargoes, related patents are related; such as application number: CN201911209566.4 discloses a logistics goods positioning system, which comprises the internet, the internet is connected with staff's customer end and user's customer end respectively, the internet is connected with goods positioning center, the internet is connected with electronic tags generation module, electronic tags generation module is connected with warehouse management module, tag generation module is connected with warehouse goods database, electronic tags scanning module, goods number distribution module, shipment management module, goods transportation management module and pick-up scanning module in proper order, and warehouse goods database links to each other with the internet. The system can reasonably distribute goods when the goods are delivered, timely and effectively track and inquire the information of the order in the transportation process, so that the order can be accurately transported.
However, the above patent, while achieving safety in cargo transportation, still has the following problems in actual positioning monitoring:
1. in the existing logistics positioning system, the Internet is connected with a plurality of vehicle terminals, positioning is complex, management is inconvenient, only the goods positioning information in the vehicle is monitored, the goods state of a delivery end cannot be obtained, and a user client cannot timely and intuitively know the actual state of the goods;
2. in the existing logistics positioning system, data interaction between cargo transportation and vehicles cannot be carried out, so that after cargo is problematic, part of participants cannot know reasons and places where the cargo is problematic, the processing time of the logistics problem is too long, and the cargo transportation efficiency is affected.
Disclosure of Invention
The invention aims to provide an intelligent logistics goods positioning monitoring method and device, which realize timely and effective intercommunication of information of a receiving party, a sending party and a transporting party, and synchronously manage the progress of the transporting party in real time, so that the goods delivery efficiency is improved, and a large amount of manpower and material resources are saved, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent logistics goods positioning monitoring method comprises a monitoring platform for monitoring logistics goods positioning and a monitoring method based on the monitoring platform, wherein the method comprises the following steps:
and (3) logistics warehouse-out positioning and monitoring: acquiring a delivery instruction actively uploaded by a transmitting end, extracting receiving end data in the delivery instruction, inputting the receiving end data into a receiving address database for matching, and determining the area number of the receiving end data;
generating an electronic tag based on the region number, binding the electronic tag with a delivery end address and a delivery end address to generate a data packet, matching the data packet with cargo information one by one, and determining that the cargo is positioned in the warehouse-in and warehouse-out processes based on the cargo information;
after the goods warehouse-in information is acquired, the warehouse-in information is fed back to a transmitting end, after the warehouse-out information is acquired, the warehouse-out information is fed back to the transmitting end and a receiving end respectively, and the warehoused goods are distributed to corresponding loading points according to the area numbers for loading preparation;
loading vehicle positioning monitoring: after the loading vehicle reaches the loading point, starting to carry out loading inspection of the whole vehicle, and respectively identifying vehicle information through a vehicle information identification terminal, wherein the vehicle information comprises vehicle image information, driving identity information, loading information, driving planning information and transportation transfer information;
extracting vehicle-mounted positioning data bound with a vehicle based on the vehicle information as target data, respectively carrying out data integration, data cleaning, feature extraction and data comparison on the extracted target data according to cloud data, carrying out data conversion on the processed target data, and respectively displaying the positioning data on a sending end and a receiving end;
and (3) logistics transfer positioning monitoring: after the loading vehicle arrives at the transfer station, acquiring cargo information and transfer information thereof, and judging whether the cargo receives a return cargo instruction or not;
if yes, the goods are transferred and stored, and the goods are transported to a sending end through a transfer vehicle; if not, the loading vehicle continues to execute the driving plan to transport the goods to the receiving end.
Further, the receiving end data is input into a receiving address database for matching, and the area number of the receiving end data is determined, specifically:
analyzing the receiving end data, determining receiving address data, dividing the receiving address data into a plurality of label blocks according to provincial and municipal class, acquiring keywords of each label block, and cleaning the keywords according to part-of-speech statistical characteristics to obtain a keyword set;
converting each label block into a word vector according to the keyword set, and constructing a region tree according to the word vectors among each label block and each label block; wherein each tag block corresponds to an area node;
extracting keywords from top to bottom from the region nodes included in the region tree; determining an extraction mode of object data included in the region node according to the keywords of the region node, and determining a region matched with the extraction mode in a content region included in the region node as a target region;
determining keywords included in each layer of the region tree according to target keywords in any region, dividing the target region, identifying characters in the target region after dividing, determining city code labels according to identification results, and establishing and displaying a queuing queue of a plurality of city code labels based on the keyword extraction sequence.
Further, generating an electronic tag based on the region number, specifically:
acquiring an electronic tag generation instruction sent by a delivery terminal, wherein the electronic tag generation instruction comprises a production sending end user ID, a receiving end user ID and a vehicle ID; according to the electronic tag generation instruction, sending the allocated electronic tag ID to the ex-warehouse terminal;
and binding the electronic tag ID with the sending end user ID and the receiving end user ID, generating hexadecimal data corresponding to the electronic tag based on the electronic tag ID, and feeding back the hexadecimal data value to the sending end user ID and the receiving end user ID.
Further, after receiving hexadecimal data values, the sending end user ID and the receiving end user ID query positioning information corresponding to the electronic tag ID, and when return order or replacement order information corresponding to the electronic tag ID exists in the sending end user ID and the receiving end user ID, a corresponding return order or replacement instruction is generated.
Further, the cargoes after being delivered out of the warehouse are distributed to corresponding loading points according to the area numbers for loading preparation, specifically:
when goods to be loaded are delivered, the electronic tags of the goods are scanned through a delivery end bar code scanner, the obtained goods bar code information is transmitted into a bar code database, and the bar code database determines a goods transportation plan where the goods bar code information is located;
and determining the basic data of the loading lane and the loading vehicle based on the commodity transportation plan, feeding back the basic data of the loading lane and the loading vehicle to the sending end and the receiving end matched with the goods, and extracting the loading vehicle transportation line in the plan by the receiving end matched with the goods according to the acquired commodity transportation plan and displaying the loading vehicle transportation line through the display module.
Further, distributing the goods after leaving the warehouse to corresponding loading points for loading preparation according to the region numbers, and further comprising:
acquiring data actively uploaded by a plurality of groups of lane departure monitoring terminals arranged in a whole vehicle loading factory, setting corresponding lane numbers based on each group of lane departure monitoring terminals, and matching the lane numbers with loading vehicles one by one based on the Internet of things;
the goods to be loaded are matched with corresponding lane numbers one by one based on the city code labels, meanwhile, basic data of the loaded vehicles are obtained, and the goods are bound with the goods based on the loaded vehicle information to generate a plan data packet;
and the loading vehicle acquires a commodity transportation plan to determine a transportation task of goods to be transported, and when the transportation task is executed, the loading vehicle acquires traffic data provided by a third-party platform based on the transportation task to determine the completion time of the transportation task.
Further, the different loading carts are individually provided with a planning number corresponding to the transportation task, which is matched with the information of the departure lane and the transportation service provider, respectively.
The invention provides another technical scheme, an intelligent logistics goods positioning and monitoring device, which comprises:
the receiving terminal is used for inputting personal information, order information and change information and acquiring order feedback information and goods transportation information;
the delivery terminal is used for receiving the information sent by the receiving terminal, processing the information and then sending feedback information;
the vehicle-mounted terminal is used for acquiring order information and task information, acquiring positioning in the running process of the loading vehicle, and uploading the positioning data to the receiving terminal and the delivery terminal;
and the cloud monitoring platform is used for continuously acquiring the goods positioning data in real time, establishing a bidirectional data transmission channel and simultaneously transmitting the positioning data to the goods receiving terminal and the goods delivery terminal based on the transmission channel.
Further, the cloud monitoring platform performs data interaction with the goods receiving terminal and the goods delivery terminal based on the Internet, the vehicle-mounted terminal performs data interaction with the cloud monitoring platform, the goods receiving terminal and the goods delivery terminal are set to be mobile intelligent terminals, and the vehicle-mounted terminal is bound with the loading vehicle in a one-to-one correspondence mode.
Further, the cloud monitoring platform is in data interaction with a receiving terminal, a delivery terminal and a vehicle-mounted terminal to realize the steps of the intelligent logistics goods positioning monitoring method.
Compared with the prior art, the invention has the beneficial effects that:
1. in the prior art, data interaction between goods transportation and vehicles cannot be carried out, so that part of participants cannot know the reasons and places of the problems of the goods and influence the goods transportation efficiency after the problems of the goods occur.
2. In the prior art, when a large amount of cargoes are loaded in a partition mode, the cargoes are slow in matching speed due to complex receiving addresses, and the range of a target area is wide; the invention constructs a region tree according to word vectors among the label blocks and the label blocks; wherein each tag block corresponds to an area node; the data is stored according to the hierarchy based on the region tree, so that the management and visual development of the data are facilitated, meanwhile, the orderly keyword extraction is also facilitated for the region nodes included in the region tree, and the region matched with the extraction mode in the content region included in the region nodes is determined as a target region; the method is convenient for accurately determining the target area, reducing the extraction range, reducing the calculated amount, improving the calculation efficiency, clearing the simple relation of each area and facilitating the establishment of the subsequent transportation plan.
3. In the prior art, data interaction between goods transportation and vehicles cannot be carried out, information of a goods receiving party, a goods sending party and a transportation party cannot be effectively communicated in time, a large amount of manpower and material resources are consumed, and according to the invention, through the data interaction between the goods receiving terminal and the goods sending terminal, the data interaction between the vehicle-mounted terminal and the goods receiving terminal and the data interaction between the vehicle-mounted terminal and the cloud monitoring platform, accurate and effective creation of a goods transportation plan is realized, a bidirectional data transmission channel is established among the goods receiving terminal, the goods sending terminal and the vehicle-mounted terminal, timely and effective communication of the information of the goods receiving party, the goods sending party and the transportation party is realized, and the progress of the transportation party is synchronously managed in real time, so that the goods delivery efficiency is improved, and a large amount of manpower and material resources are saved.
Drawings
FIG. 1 is a flow chart of an intelligent logistics cargo positioning and monitoring method of the present invention;
FIG. 2 is a block diagram of the intelligent logistics cargo positioning and monitoring device of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problem that the cause and the place of the problem of the goods cannot be known by partial participants after the problem of the goods and the problem of the goods are caused and the transportation efficiency of the goods is affected, please refer to fig. 1, the embodiment provides the following technical scheme:
an intelligent logistics goods positioning monitoring method comprises a monitoring platform for monitoring logistics goods positioning and a monitoring method based on the monitoring platform, wherein the method comprises the following steps:
and (3) logistics warehouse-out positioning and monitoring: acquiring a delivery instruction actively uploaded by a transmitting end, extracting receiving end data in the delivery instruction, inputting the receiving end data into a receiving address database for matching, and determining the area number of the receiving end data; generating an electronic tag based on the region number, binding the electronic tag with a delivery end address and a delivery end address to generate a data packet, matching the data packet with cargo information one by one, and determining that the cargo is positioned in the warehouse-in and warehouse-out processes based on the cargo information; after the goods warehouse-in information is acquired, the warehouse-in information is fed back to a transmitting end, after the warehouse-out information is acquired, the warehouse-out information is fed back to the transmitting end and a receiving end respectively, and the warehoused goods are distributed to corresponding loading points according to the area numbers for loading preparation;
loading vehicle positioning monitoring: after the loading vehicle reaches the loading point, starting to carry out loading inspection of the whole vehicle, and respectively identifying vehicle information through a vehicle information identification terminal, wherein the vehicle information comprises vehicle image information, driving identity information, loading information, driving planning information and transportation transfer information; extracting vehicle-mounted positioning data bound with a vehicle based on the vehicle information as target data, respectively carrying out data integration, data cleaning, feature extraction and data comparison on the extracted target data according to cloud data, carrying out data conversion on the processed target data, and respectively displaying the positioning data on a sending end and a receiving end;
and (3) logistics transfer positioning monitoring: after the loading vehicle arrives at the transfer station, acquiring cargo information and transfer information thereof, and judging whether the cargo receives a return cargo instruction or not; if yes, the goods are transferred and stored, and the goods are transported to a sending end through a transfer vehicle; if not, the loading vehicle continues to execute the driving plan to transport the goods to the receiving end.
Specifically, an order is determined by a customer, electronic tags are produced according to matching of the order and goods, after the delivery information is acquired, the delivery information is fed back to a sending end and a receiving end respectively, after a loading vehicle arrives at a transfer station, the goods information and the transfer information thereof are acquired, corresponding goods returning tasks are carried out according to goods returning instructions, and the receiving end and the sending end can track different links such as goods ordering, preparation, transportation and distribution in real time and present in a form of visual information, so that user experience is improved, and timeliness, reliability and efficiency of goods logistics management are improved.
In order to solve the technical problem of slow matching speed of cargoes due to complex receiving addresses and wide target area range when a lot of cargoes are loaded in a partitioned manner, referring to fig. 1, the present embodiment provides the following technical scheme:
analyzing the receiving end data, determining receiving address data, dividing the receiving address data into a plurality of label blocks according to provincial and municipal class, acquiring keywords of each label block, and cleaning the keywords according to part-of-speech statistical characteristics to obtain a keyword set; converting each label block into a word vector according to the keyword set, and constructing a region tree according to the word vectors among each label block and each label block; wherein each tag block corresponds to an area node; extracting keywords from top to bottom from the region nodes included in the region tree; determining an extraction mode of object data included in the region node according to the keywords of the region node, and determining a region matched with the extraction mode in a content region included in the region node as a target region; determining keywords included in each layer of the region tree according to target keywords in any region, dividing the target region, identifying characters in the target region after dividing, determining city code labels according to identification results, and establishing and displaying a queuing queue of a plurality of city code labels based on the keyword extraction sequence.
Specifically, constructing a region tree according to word vectors among the tag blocks and the tag blocks; wherein each tag block corresponds to an area node; the data is stored according to the hierarchy based on the region tree, so that the management and visual development of the data are facilitated, meanwhile, the orderly keyword extraction is also facilitated for the region nodes included in the region tree, and the region matched with the extraction mode in the content region included in the region nodes is determined as a target region; the method is convenient for accurately determining the target area, reducing the extraction range, reducing the calculated amount, improving the calculation efficiency, clearing the simple relation of each area and facilitating the establishment of the subsequent transportation plan.
In order to solve the technical problem that the user client cannot timely and intuitively know the actual state of the goods, referring to fig. 1, the present embodiment provides the following technical scheme:
acquiring an electronic tag generation instruction sent by a delivery terminal, wherein the electronic tag generation instruction comprises a production sending end user ID, a receiving end user ID and a vehicle ID; according to the electronic tag generation instruction, sending the allocated electronic tag ID to the ex-warehouse terminal; binding the electronic tag ID with the sending end user ID and the receiving end user ID, generating hexadecimal data corresponding to the electronic tag based on the electronic tag ID, and feeding back the hexadecimal data value to the sending end user ID and the receiving end user ID; after receiving hexadecimal data values, the sending end user ID and the receiving end user ID inquire positioning information corresponding to the electronic tag ID, and when return order or replacement order information corresponding to the electronic tag ID exists in the sending end user ID and the receiving end user ID, a corresponding return order or replacement instruction is generated;
when goods to be loaded are delivered, the electronic tags of the goods are scanned through a delivery end bar code scanner, the obtained goods bar code information is transmitted into a bar code database, and the bar code database determines a goods transportation plan where the goods bar code information is located; and determining the basic data of the loading lane and the loading vehicle based on the commodity transportation plan, feeding back the basic data of the loading lane and the loading vehicle to the sending end and the receiving end matched with the goods, and extracting the loading vehicle transportation line in the plan by the receiving end matched with the goods according to the acquired commodity transportation plan and displaying the loading vehicle transportation line through the display module.
Specifically, the generation of the electronic tag ensures the binding of the electronic tag and the goods, determines the uniqueness of the goods and the electronic tag, facilitates the management of the goods, realizes the accurate positioning of the goods when the goods are put in and put out based on the identification of the electronic tag when the goods are put in and put out, and performs real-time tracking and inquiry when the goods do not reach the loading vehicle for transportation, thereby greatly simplifying the positioning process of the goods and enabling a user customer to timely and intuitively know the actual state of the goods.
In order to solve the technical problem that data interaction between cargo transportation and vehicles cannot be performed, and the cargo and the loading vehicles are not matched due to mismatching of the track numbers, referring to fig. 1, the embodiment provides the following technical scheme:
acquiring data actively uploaded by a plurality of groups of lane departure monitoring terminals arranged in a whole vehicle loading factory, setting corresponding lane numbers based on each group of lane departure monitoring terminals, and matching the lane numbers with loading vehicles one by one based on the Internet of things; the goods to be loaded are matched with corresponding lane numbers one by one based on the city code labels, meanwhile, basic data of the loaded vehicles are obtained, and the goods are bound with the goods based on the loaded vehicle information to generate a plan data packet; the loading vehicle obtains a commodity transportation plan to determine a transportation task of goods to be transported, and when the transportation task is executed, traffic data provided by a third party platform is obtained based on the transportation task to determine the completion time of the transportation task, different loading vehicles are independently provided with plan numbers corresponding to the transportation task, and the plan numbers are respectively matched with information of a departure lane and a transportation service provider.
Specifically, through obtaining the data that is provided with the initiative of multiunit lane monitoring terminal and upload in the whole car loading factory, the lane number matches with the loading car one by one, and different loading cars are equipped with corresponding plan number alone, and the plan number matches with the information of departure lane and transportation service merchant respectively, realizes on-the-spot real-time loading operation, provides system support for on-the-spot loading, and is high-efficient accurate, improves the operating efficiency, has alleviateed staff's intensity of labour and cost of labor greatly, thereby avoids appearing loading car and the mismatching of lane number and consequently the condition that leads to goods and loading car mismatching.
In order to better reveal an intelligent logistics cargo positioning monitoring method, please refer to fig. 2, the invention provides an intelligent logistics cargo positioning monitoring device, which comprises:
the receiving terminal is used for inputting personal information, order information and change information and acquiring order feedback information and goods transportation information; the delivery terminal is used for receiving the information sent by the receiving terminal, processing the information and then sending feedback information; the vehicle-mounted terminal is used for acquiring order information and task information, acquiring positioning in the running process of the loading vehicle, and uploading the positioning data to the receiving terminal and the delivery terminal; the cloud monitoring platform is used for continuously acquiring goods positioning data in real time, establishing a bidirectional data transmission channel and simultaneously transmitting the positioning data to the goods receiving terminal and the goods delivery terminal based on the transmission channel;
the cloud monitoring platform performs data interaction with the receiving terminal and the delivery terminal based on the Internet, the vehicle-mounted terminal performs data interaction with the cloud monitoring platform, the receiving terminal and the delivery terminal are set to be mobile intelligent terminals, the vehicle-mounted terminal is bound with the loading vehicle in one-to-one correspondence, and the cloud monitoring platform performs data interaction with the receiving terminal, the delivery terminal and the vehicle-mounted terminal to achieve the steps of the intelligent logistics goods positioning monitoring method.
Specifically, through the data interaction of the receiving terminal and the delivery terminal, the vehicle-mounted terminal and the data interaction of the receiving terminal and the delivery terminal, the cloud monitoring platform realizes accurate and effective creation of a commodity transportation plan, establishes a bidirectional data transmission channel among the receiving terminal, the delivery terminal and the vehicle-mounted terminal, realizes timely and effective intercommunication of information of a receiving party, a delivery party and a delivery party, synchronously manages the progress of the delivery party in real time, improves the efficiency of commodity delivery, and simultaneously saves a large amount of manpower and material resources.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.

Claims (3)

1. An intelligent logistics goods positioning and monitoring method is characterized in that: the monitoring platform for monitoring the logistics cargo positioning and the monitoring method based on the monitoring platform are included, and the monitoring method based on the monitoring platform comprises the following steps:
and (3) logistics warehouse-out positioning and monitoring: acquiring a delivery instruction actively uploaded by a transmitting end, extracting receiving end data in the delivery instruction, inputting the receiving end data into a receiving address database for matching, and determining the area number of the receiving end data; generating an electronic tag based on the region number, binding the electronic tag with a delivery end address and a delivery end address to generate a data packet, matching the data packet with cargo information one by one, and determining that the cargo is positioned in the warehouse-in and warehouse-out processes based on the cargo information; after the goods warehouse-in information is acquired, the warehouse-in information is fed back to a transmitting end, after the warehouse-out information is acquired, the warehouse-out information is fed back to the transmitting end and a receiving end respectively, and the warehoused goods are distributed to corresponding loading points according to the area numbers for loading preparation;
loading vehicle positioning monitoring: after the loading vehicle reaches the loading point, starting to carry out loading inspection of the whole vehicle, and respectively identifying vehicle information through a vehicle information identification terminal, wherein the vehicle information comprises vehicle image information, driving identity information, loading information, driving planning information and transportation transfer information; extracting vehicle-mounted positioning data bound with a vehicle based on the vehicle information as target data, respectively carrying out data integration, data cleaning, feature extraction and data comparison on the extracted target data according to cloud data, carrying out data conversion on the processed target data, and respectively displaying the positioning data on a sending end and a receiving end;
and (3) logistics transfer positioning monitoring: after the loading vehicle arrives at the transfer station, acquiring cargo information and transfer information thereof, and judging whether the cargo receives a return cargo instruction or not; if yes, the goods are transferred and stored, and the goods are transported to a sending end through a transfer vehicle; if not, continuing to execute the driving plan by the loading vehicle to transport the goods to the receiving end;
inputting the receiving end data into a receiving address database for matching, and determining the area number of the receiving end data, wherein the method specifically comprises the following steps:
analyzing the receiving end data, determining receiving address data, dividing the receiving address data into a plurality of label blocks according to provincial and municipal class, acquiring keywords of each label block, and cleaning the keywords according to part-of-speech statistical characteristics to obtain a keyword set; converting each label block into a word vector according to the keyword set, and constructing a region tree according to the word vectors among each label block and each label block; wherein each tag block corresponds to an area node; extracting keywords from top to bottom from the region nodes included in the region tree; determining an extraction mode of object data included in the region node according to the keywords of the region node, and determining a region matched with the extraction mode in a content region included in the region node as a target region; determining keywords included in each layer of a region tree according to target keywords in any region, dividing the target region, identifying characters in the target region after dividing, determining city code labels according to identification results, and establishing and displaying a queuing queue of a plurality of city code labels based on the keyword extraction sequence;
generating an electronic tag based on the region number, specifically: acquiring an electronic tag generation instruction sent by a delivery terminal, wherein the electronic tag generation instruction comprises a production sending end user ID, a receiving end user ID and a vehicle ID; according to the electronic tag generation instruction, sending the allocated electronic tag ID to the ex-warehouse terminal; the electronic tag ID is bound with the sending end user ID and the receiving end user ID, hexadecimal data corresponding to the electronic tag is generated based on the electronic tag ID, and the hexadecimal data value is fed back to the sending end user ID and the receiving end user ID;
distributing the cargoes after leaving the warehouse to corresponding loading points according to the region numbers for loading preparation, specifically: when goods to be loaded are delivered, the electronic tags of the goods are scanned through a delivery end bar code scanner, the obtained goods bar code information is transmitted into a bar code database, and the bar code database determines a goods transportation plan where the goods bar code information is located; determining loading lanes and basic data of loading vehicles based on a commodity transportation plan, feeding back the loading lanes and the basic data of the loading vehicles to a sending end and a receiving end matched with cargoes, and extracting a loading vehicle transportation line in the plan by the receiving end matched with the cargoes according to the acquired commodity transportation plan and displaying the loading vehicle transportation line through a display module;
distributing the cargoes after leaving the warehouse to corresponding loading points according to the region numbers for loading preparation, and further comprising: acquiring data actively uploaded by a plurality of groups of lane departure monitoring terminals arranged in a whole vehicle loading factory, setting corresponding lane numbers based on each group of lane departure monitoring terminals, and matching the lane numbers with loading vehicles one by one based on the Internet of things; the goods to be loaded are matched with corresponding lane numbers one by one based on the city code labels, meanwhile, basic data of the loaded vehicles are obtained, and the goods are bound with the goods based on the loaded vehicle information to generate a plan data packet; the loading vehicle acquires a commodity transportation plan to determine a transportation task of goods to be transported, and when the transportation task is executed, the loading vehicle acquires traffic data provided by a third-party platform based on the transportation task to determine the completion time of the transportation task;
the different loading carts are individually provided with a planning number corresponding to the transport task, which is matched with the information of the departure track and the transport service provider, respectively.
2. An intelligent logistics goods positioning and monitoring device applied to the intelligent logistics goods positioning and monitoring method as claimed in claim 1, which is characterized in that: the intelligent logistics goods positioning and monitoring device comprises: the receiving terminal is used for inputting personal information, order information and change information and acquiring order feedback information and goods transportation information; the delivery terminal is used for receiving the information sent by the receiving terminal, processing the information and then sending feedback information; the vehicle-mounted terminal is used for acquiring order information and task information, acquiring positioning in the running process of the loading vehicle, and uploading positioning data to the receiving terminal and the delivery terminal; the cloud monitoring platform is used for continuously acquiring the positioning data of the goods in real time, establishing a bidirectional data transmission channel, and simultaneously transmitting the positioning data to a receiving terminal and a delivery terminal based on the transmission channel;
the cloud monitoring platform performs data interaction with the receiving terminal and the delivery terminal based on the Internet, the vehicle-mounted terminal performs data interaction with the cloud monitoring platform, the receiving terminal and the delivery terminal are set to be mobile intelligent terminals, and the vehicle-mounted terminal is bound with the loading vehicle in one-to-one correspondence.
3. An intelligent logistics cargo positioning and monitoring apparatus as set forth in claim 2, wherein: the cloud monitoring platform is in data interaction with a receiving terminal, a delivery terminal and a vehicle-mounted terminal to realize the steps of the intelligent logistics goods positioning monitoring method according to claim 1.
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