CN118505099A - System and method for monitoring, tracking and tracing logistics - Google Patents
System and method for monitoring, tracking and tracing logistics Download PDFInfo
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Abstract
The invention discloses a system and a method for monitoring, tracking and tracing logistics, which relate to the technical field of logistics and comprise an order management module, a scanning input module, a path planning module, a preliminary estimation module, a scanning analysis module, a sorting loading module, a transfer conveying module, a real-time monitoring module, a site dispatching module and a user operation page. According to the system and the method for monitoring, tracking and tracking logistics, the estimated delivery time information of the logistics platform can be updated in real time, so that a user can accurately acquire the transportation condition of the logistics, and after a certain transit transportation link of the logistics is delayed, the logistics is preferentially selected and transited in a follow-up link, so that the logistics is accelerated, the logistics is enabled to be attached to the originally estimated delivery time as much as possible, the accuracy of the estimated time is further improved, and through scanning of packages at each transit station, the delayed packages can be preferentially selected, the damage problem of the packages can be timely found, and the package can be immediately reissued at the first time of the finding problem.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a system and a method for monitoring, tracking and tracing logistics.
Background
Logistics, originally intended as "physical distribution" or "cargo distribution", is part of the supply chain activities. The method aims at meeting the needs of customers and planning, implementing and controlling the efficient and low-cost flow and storage of goods and services consumption and related information from production place to consumption place. In brief, logistics is a system of controlling raw materials, finished products and information, from the supply to the physical movement in the hands of the end consumer through the transfer and possession of various intermediate links, thus achieving the explicit goal of organization.
In today's society, the role and status of logistics is increasingly prominent. The engine is an engine which is normally operated by national economy, various resources and elements required by social production realize space-time transfer through the service of a logistics link, and play a correct role at correct time and place. The logistics is not only a cost center, but also a third profit source, and is a key link for enterprises to obtain competitive advantages. At the same time, the stream plays an indispensable role in international trade.
At present, the digital transformation, the green transformation, the diversified and personalized services and the regional collaborative development are main development trends of the logistics industry, and the trends push the logistics industry to be continuously innovated and advanced, so that the national economy and enterprise production and management are better served. Systems and methods for monitoring, tracking and tracing logistics are disclosed in, for example, patent application 201980037097.4, which solves the problems of theft and mishandling of packages during shipment by optimizing existing logistics techniques.
However, prior art logistics similar to the above application still suffer from the following disadvantages:
The existing logistics can only provide a general expected delivery time for users, the expected duration cannot be updated in real time according to the actual condition of the logistics, the user is not benefited to accurately acquire the transportation condition of the logistics, especially after a certain transit transportation link of the logistics is delayed, the actual delivery time can deviate from the expected time far, in addition, the package can be damaged and damaged due to accidents in the transportation process, but the existing logistics can be discovered only in the delivery stage, the user is reminded and the package is replenished, the package problem is not treated as early as possible, the user is delayed, and the resource transportation and the damaged package are wasted.
Accordingly, there is an urgent need to improve upon this shortcoming, and the present invention is directed to improvements in existing structures and deficiencies, and provides systems and methods for monitoring, tracking and tracing logistics.
Disclosure of Invention
It is an object of the present invention to provide a system and method for monitoring, tracking and tracing logistics that solves the problems set forth in the background art above.
In order to achieve the above purpose, the present invention provides the following technical solutions:
In one aspect, the present invention provides a system for monitoring, tracking and tracing a flow of material, comprising:
The order management module is responsible for receiving, processing and storing order information of clients, including functions of order creation, modification, inquiry, cancellation and the like, and sequentially performing order processing, order generation, distribution and express bill printing, so as to provide basic data for subsequent logistics links;
The system comprises a scanning and inputting module, a receiving module and a receiving module, wherein the scanning and inputting module scans cargoes through a bar code or RFID technology, inputs cargoes information into the system, the cargoes information comprises but not limited to the weight, the size, the starting place and the target place of a package, and scans and checks the cargoes;
the path planning module is responsible for extracting an originating place and a target place of goods from order information, importing the originating place and the target place into Arc GIS software for optimal transportation path analysis, planning an optimal transportation path for a logistics vehicle, and combining logistics nodes involved in the transportation path statistics path;
The preliminary estimation module is used for calling past logistics data from the system database according to the planned transportation path, and counting the past average transportation time of the adjacent transfer stations related to the transportation path so as to obtain a preliminary estimated logistics total estimated time;
the scanning analysis module is used for carrying out omnibearing scanning inspection on cargoes, analyzing cargo conditions based on collected data, and triggering corresponding treatment measures aiming at different cargo states so as to ensure smooth proceeding of a logistics flow;
the sorting and loading module is responsible for sorting and sorting cargoes according to order information, sorting cargoes going to the same transfer station together, arranging transport vehicles for loading, and ensuring that the cargoes can be loaded according to the correct destination and transport sequence;
The transfer conveying module is responsible for transferring cargoes among different logistics nodes, including monitoring and scheduling in the processes of loading, unloading and transporting the cargoes, so that the cargoes can reach the next node according to a plan, and smooth operation of the whole logistics flow is ensured;
The real-time monitoring module monitors real-time transportation conditions of the vehicles by tracking the logistics vehicles and collecting real-time related data of the logistics vehicles, and calculates and updates the expected logistics duration in real time according to the real-time transportation conditions;
The site dispatching module is responsible for dispatching the goods from the last logistics node to a final destination, and comprises the establishment of a dispatching plan, the dispatching of dispatching personnel and the real-time monitoring of a dispatching process, so that the goods can be timely and safely dispatched to the hands of a user;
The user operation page provides an intuitive and convenient interface for a user, so that the user can inquire information such as order state, goods position and the like, perform related operation, have the function of updating the estimated delivery time in real time and provide user-friendly interaction experience.
Further, the cargo scanning inspection specifically includes:
X-ray scanning: the X-ray is utilized to penetrate the package, and the outline and the form of the articles in the package are displayed through a computer image processing technology, so that contraband articles and dangerous articles are detected, the contraband articles in the package, such as control cutters, guns, drugs and the like, are rapidly identified, and the security of the package of goods is ensured;
millimeter wave scanning: penetrating the goods package through millimeter waves, and detecting the articles in the package through analysis of reflected waves so as to find abnormal articles in the package;
Infrared scanning: the infrared ray is utilized to scan the goods package, the property and the state of the goods in the package are judged by analyzing the absorption, reflection and scattering properties of infrared radiation, and the record is carried out, so that reference data support is provided for the subsequent detection of the damage or the lack of the goods.
Further, the logistics node specifically includes:
start site: a first logistics node;
And (3) transfer station: a logistics node between the first and last one;
The target site: and the last logistics node.
Further, the scan analysis module specifically includes:
Cargo scanning sub-module: identifying and recording cargoes by using a bar code scanning technology, comparing the cargoes with records in a database to confirm the identity, the number and other related information of the cargoes, secondarily scanning the cargo state by using a nuclear magnetic resonance technology, collecting cargo state data, and providing a basis for subsequent state judgment, wherein the nuclear magnetic resonance technology scans packages by using a nuclear magnetic resonance principle to acquire molecular structure and chemical composition information of articles in the packages, so as to identify abnormal substances or structural changes in the packages;
And a state judging sub-module: the damage condition of the goods is accurately estimated by comparing the actual data and the standard data of the goods and analyzing the images of the goods by utilizing an algorithm and a machine learning technology so as to judge the states of the goods, such as perfect, slight damage, serious damage and the like;
a logistics terminator module: the system is used for immediately stopping the logistics flow of the goods and informing related personnel to process, and recording termination reasons and related information at the same time so as to facilitate subsequent tracking and analysis;
and a timeout judging sub-module: judging whether overtime conditions occur in cargo transportation or not by comparing the difference value of cargo inbound time and expected time;
and the transfer queuing sub-module: and the scanned cargoes are orderly sequenced and wait for the current transfer station to execute sorting, assembling and transfer.
Further, an output end of the state judging sub-module is connected with a logistics stop sub-module for outputting a judging result of abnormal cargo state, and an output end of the state judging sub-module is connected with a timeout judging sub-module for outputting a judging result of normal cargo state.
Further, an output end of the overtime judging sub-module is connected with a transit queuing sub-module for outputting a judging result that the transportation is not overtime, and an output end of the state judging sub-module is connected with a sorting loading module for outputting a judging result that the transportation is overtime.
Further, the real-time monitoring module specifically includes:
The vehicle tracking sub-module accurately acquires the position data of the vehicle through a GPS positioning technology, a wireless communication technology and a map matching technology, tracks the position and the state of the logistics vehicle in real time, and provides real-time position information, running track and the like of the vehicle;
The information acquisition submodule is used for collecting the weather information and the road condition information of the current transfer station in the way of going to the next transfer station based on the real-time position information, and comprises the steps of acquiring the weather information from a weather service system and acquiring the road condition information from a traffic monitoring system;
The monitoring and calculating sub-module is used for analyzing the influence of weather and road condition factors on the speed of the vehicle based on the position information provided by the vehicle tracking sub-module and the weather and road condition information provided by the information acquisition sub-module and calculating the latest estimated time;
And the time length updating sub-module is used for updating the total expected time length of the logistics in real time according to the calculation result of the monitoring calculation sub-module.
Further, the calculated latest estimated time length comprises the calculation of the estimated time length T_es of the current transfer station to the next transfer station and the calculation of the total estimated time length T of the logistics;
The formula of T_es is as follows:
Wherein, T_es represents the expected time length of the current transfer station going to the next transfer station, T_el represents the elapsed time length of the current transfer station going to the next transfer station, S represents the position of the next transfer station, i.e. the position of the (i+1) th transfer station, S 'represents the current position of the vehicle, and v' represents the current real-time speed;
The calculation formula of T is as follows:
Wherein T represents the total predicted length of the logistics, T_es represents the predicted length of the current transfer station going to the next transfer station, namely the predicted length from the ith transfer station to the (i+1) th transfer station, T' represents the predicted length of the rest transfer, T i+1 represents the time of reaching the ith transfer station, T i reaches the (i-1) th transfer station, N represents the number of the reached transfer stations, and N E N+.
Further, the user operation page specifically includes:
web server sub-module: the method comprises the steps of being responsible for processing requests and responses of users, receiving instructions from a client, analyzing the instructions, distributing the instructions to corresponding functional modules for processing, and returning processing results to the client;
GIS server submodule: by using the geographic information system technology, the spatial analysis and visual display of logistics information are realized, and users are helped to intuitively know information such as geographic positions, transportation paths and the like of goods.
In another aspect, the present invention provides a method for monitoring, tracking and tracing a flow, applied to a system for monitoring, tracking and tracing a flow as described above, characterized in that it comprises the steps of:
s1, after a customer submits a logistics order, an order management module receives, processes and stores order information of the customer, sequentially processes the order to generate, distribute and print an express order, and then a scanning and recording module scans goods through a bar code or RFID technology, records the goods information into a system, and scans and checks the goods, including X-ray scanning, millimeter wave scanning and infrared scanning;
S2, extracting an originating place and a target place of goods from order information by a path planning module, planning an optimal transportation path for a logistics vehicle, counting logistics nodes involved in the path, and then calling logistics data from a system database by a preliminary estimation module according to the planned transportation path to preliminarily estimate total expected logistics duration;
S3, a cargo scanning sub-module of the scanning analysis module uses a bar code scanning technology to identify and record cargoes, compares the cargoes with records in a database to confirm the identity, the quantity and other related information of the cargoes, then uses a nuclear magnetic resonance technology to scan the cargo state for the second time, collects cargo state data, judges the cargo state through a state judging sub-module, if the cargo state is abnormal, triggers a logistics ending sub-module, immediately stops the logistics flow of the cargoes, notifies related personnel to process, records termination reasons and related information, if the cargo state is normal, triggers a timeout judging sub-module to judge whether timeout conditions occur in cargo transportation, if not timeout occurs, triggers a transit queuing sub-module to orderly sort the scanned cargoes, waits for the current transit station to execute sorting, assembly and transit, and if timeout occurs, directly triggers a sorting loading module;
S4, sorting and loading modules sort and sort cargoes according to order information, sort cargoes going to the same transfer station together, arrange transport vehicles for loading, and transfer the cargoes among different logistics nodes through a transfer conveying module;
S5, in the process of transferring the goods, the real-time monitoring module accurately acquires position data of the vehicle through the vehicle tracking submodule, tracks the current position of the goods in real time, then the information acquisition submodule collects weather information and road condition information on the way of the current transfer station to the next transfer station based on the real-time position information, and then the monitoring calculation submodule acquires latest logistics estimated time length data through calculation and updates the logistics total estimated time length in real time through the time length updating submodule;
and S6, delivering the goods from the last logistics node to a final destination through a site delivery module, and delivering the goods to the hands of a user, wherein the user can query information through a user operation page and perform related operations.
The invention provides a system and a method for monitoring, tracking and tracing logistics, which have the following beneficial effects:
1. According to the method and the system, the estimated delivery time information of the logistics platform can be updated in real time, so that a user can accurately acquire the transportation condition of logistics, and after a certain transit transportation link of the logistics is delayed, picking and transit sending are preferentially carried out in a subsequent link, so that the speed is increased, the estimated delivery time is attached to the originally estimated delivery time as much as possible, and the accuracy of the estimated time is further improved;
2. According to the invention, through scanning the packages at each transfer station, the delayed packages can be selected preferentially, and the damage problem of the packages can be found timely, so that the packages can be reissued immediately at the first time of finding the problem, the influence on the user's goods receiving is reduced, the damaged packages are not required to be continuously transported without the subsequent waste of resources, and meanwhile, the investigation range of package damage and overtaking is shortened, so that the follow-up targeted overtaking is facilitated;
Drawings
FIG. 1 is a schematic diagram of the overall operational flow of the system for monitoring, tracking and tracing a flow of material of the present invention;
FIG. 2 is a schematic diagram of a real-time monitoring module of the system for monitoring, tracking and tracing a stream of material of the present invention;
FIG. 3 is a schematic diagram of a scanning analysis module of the system for monitoring, tracking and tracing a stream of material of the present invention;
FIG. 4 is a logic block diagram of cargo transportation of the system for monitoring, tracking and tracing logistics of the present invention;
FIG. 5 is a schematic diagram of the operational steps of the method of the present invention for monitoring, tracking and tracing a flow.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings and examples. The following examples are illustrative of the invention but are not intended to limit the scope of the invention.
As shown in fig. 1-4, a system for monitoring, tracking and tracing a flow of material, comprising:
The order management module is responsible for receiving, processing and storing order information of clients, including functions of order creation, modification, inquiry, cancellation and the like, and sequentially performing order processing, order generation, distribution and express bill printing, so as to provide basic data for subsequent logistics links;
the scanning and recording module scans cargoes through bar codes or RFID technology, records cargoes information into the system, the cargoes information includes but not limited to the weight, size, origin and target location information of the package, and scans and checks the cargoes; the cargo scanning inspection specifically comprises:
X-ray scanning: the X-ray is utilized to penetrate the package, and the outline and the form of the articles in the package are displayed through a computer image processing technology, so that contraband articles and dangerous articles are detected, the contraband articles in the package, such as control cutters, guns, drugs and the like, are rapidly identified, and the security of the package of goods is ensured;
millimeter wave scanning: penetrating the goods package through millimeter waves, and detecting the articles in the package through analysis of reflected waves so as to find abnormal articles in the package;
Infrared scanning: the method comprises the steps of scanning a goods package by utilizing infrared rays, judging the property and state of an article in the package by analyzing the absorption, reflection and scattering characteristics of infrared radiation, recording, and providing reference data support for detecting the damage or the loss of the goods subsequently;
The path planning module is responsible for extracting an originating place and a target place of goods from order information, importing the originating place and the target place into Arc GIS software for carrying out optimal transportation path analysis, planning an optimal transportation path for a logistics vehicle, and counting logistics nodes involved in the path in combination with the transportation path; the logistics node specifically comprises: start site: a first logistics node; and (3) transfer station: a logistics node between the first and last one; the target site: a last logistics node;
the primary estimation module is used for calling past logistics data from the system database according to the planned transportation path, and counting the past average transportation time of the adjacent transfer stations related to the transportation path so as to obtain a primary estimated total expected logistics duration;
The scanning analysis module is used for carrying out omnibearing scanning inspection on cargoes, analyzing cargo conditions based on collected data, and triggering corresponding treatment measures aiming at different cargo states so as to ensure smooth proceeding of a logistics flow; the scanning analysis module specifically comprises:
Cargo scanning sub-module: identifying and recording cargoes by using a bar code scanning technology, comparing the cargoes with records in a database to confirm the identity, the number and other related information of the cargoes, secondarily scanning the cargo state by using a nuclear magnetic resonance technology, collecting cargo state data, providing a basis for subsequent state judgment, and scanning the package by using a nuclear magnetic resonance technology by using a nuclear magnetic resonance principle to acquire molecular structure and chemical composition information of articles in the package so as to identify abnormal substances or structural changes in the package;
And a state judging sub-module: the damage condition of the goods is accurately estimated by comparing the actual data and the standard data of the goods and analyzing the images of the goods by utilizing an algorithm and a machine learning technology so as to judge the states of the goods, such as perfect, slight damage, serious damage and the like; an output end of the state judging sub-module is connected with a logistics stopping sub-module and is used for outputting a judging result of abnormal cargo state, and an output end of the state judging sub-module is connected with a timeout judging sub-module and is used for outputting a judging result of normal cargo state;
a logistics terminator module: the system is used for immediately stopping the logistics flow of the goods and informing related personnel to process, and recording termination reasons and related information at the same time so as to facilitate subsequent tracking and analysis;
And a timeout judging sub-module: judging whether overtime conditions occur in cargo transportation or not by comparing the difference value of cargo inbound time and expected time; an output end of the overtime judging sub-module is connected with a transit queuing sub-module for outputting a judging result that the transportation is not overtime, and an output end of the state judging sub-module is connected with a sorting loading module for outputting a judging result that the transportation is overtime;
and the transfer queuing sub-module: the scanned goods are orderly sequenced, and the current transfer station is waited for sorting, assembling and transferring;
The sorting and loading module is responsible for sorting and sorting cargoes according to order information, sorting cargoes going to the same transfer station together, arranging transport vehicles for loading, and ensuring that the cargoes can be loaded according to correct destination and transport sequence;
The transfer conveying module is responsible for transferring cargoes among different logistics nodes, including monitoring and scheduling in the loading, unloading and transporting processes of the cargoes, so that the cargoes can reach the next node according to a plan, and the smooth operation of the whole logistics flow is ensured;
The real-time monitoring module monitors the real-time transportation condition of the logistics vehicle by tracking the logistics vehicle and collecting real-time related data of the logistics vehicle, and calculates and updates the estimated logistics time length in real time according to the real-time transportation condition; the real-time monitoring module specifically comprises:
The vehicle tracking sub-module accurately acquires the position data of the vehicle through a GPS positioning technology, a wireless communication technology and a map matching technology, tracks the position and the state of the logistics vehicle in real time, and provides real-time position information, running track and the like of the vehicle;
The information acquisition sub-module is used for collecting the weather information and the road condition information of the current transfer station in the way to the next transfer station based on the real-time position information, and comprises the steps of acquiring the weather information from a weather service system and acquiring the road condition information from a traffic monitoring system;
The monitoring and calculating sub-module is used for analyzing the influence of weather and road condition factors on the speed of the vehicle based on the position information provided by the vehicle tracking sub-module and the weather and road condition information provided by the information acquisition sub-module, and calculating the latest estimated time length, including the calculation of the estimated time length T_es of the current transfer station to the next transfer station and the calculation of the total estimated time length T of the logistics;
The formula for T_es is as follows:
Wherein, T_es represents the expected time length of the current transfer station going to the next transfer station, T_el represents the elapsed time length of the current transfer station going to the next transfer station, S represents the position of the next transfer station, i.e. the position of the (i+1) th transfer station, S 'represents the current position of the vehicle, and v' represents the current real-time speed;
the calculation formula of T is as follows:
Wherein T represents the total estimated time length of the logistics, T_es represents the estimated time length of the current transfer station going to the next transfer station, namely the estimated time length from the ith transfer station to the (i+1) th transfer station, T' represents the residual estimated time length of transfer, T i+1 represents the time of arrival at the ith transfer station, T i reaches the (i-1) th transfer station, N represents the number of the arrived transfer stations, N E N+;
the time length updating sub-module is used for updating the total expected time length of the logistics in real time according to the calculation result of the monitoring calculation sub-module;
The site dispatching module is responsible for dispatching the goods from the last logistics node to a final destination, and comprises the establishment of a dispatching plan, the dispatching of dispatching personnel and the real-time monitoring of a dispatching process, so that the goods can be timely and safely dispatched to the hands of a user;
The user operation page provides an intuitive and convenient interface for a user, so that the user can inquire information such as order state, goods position and the like, perform related operation, has a function of updating the predicted delivery time in real time, and provides user-friendly interaction experience; the user operation page specifically comprises:
web server sub-module: the method comprises the steps of being responsible for processing requests and responses of users, receiving instructions from a client, analyzing the instructions, distributing the instructions to corresponding functional modules for processing, and returning processing results to the client;
GIS server submodule: by using the geographic information system technology, the spatial analysis and visual display of logistics information are realized, and users are helped to intuitively know information such as geographic positions, transportation paths and the like of goods.
As shown in fig. 5, the method for monitoring, tracking and tracing the flow is applied to the system for monitoring, tracking and tracing the flow as described above, and is characterized by comprising the following steps:
s1, after a customer submits a logistics order, an order management module receives, processes and stores order information of the customer, sequentially processes the order to generate, distribute and print an express order, and then a scanning and recording module scans goods through a bar code or RFID technology, records the goods information into a system, and scans and checks the goods, including X-ray scanning, millimeter wave scanning and infrared scanning;
S2, extracting an originating place and a target place of goods from order information by a path planning module, planning an optimal transportation path for a logistics vehicle, counting logistics nodes involved in the path, and then calling logistics data from a system database by a preliminary estimation module according to the planned transportation path to preliminarily estimate total expected logistics duration;
S3, a cargo scanning sub-module of the scanning analysis module uses a bar code scanning technology to identify and record cargoes, compares the cargoes with records in a database to confirm the identity, the quantity and other related information of the cargoes, then uses a nuclear magnetic resonance technology to scan the cargo state for the second time, collects cargo state data, judges the cargo state through a state judging sub-module, if the cargo state is abnormal, triggers a logistics ending sub-module, immediately stops the logistics flow of the cargoes, notifies related personnel to process, records termination reasons and related information, if the cargo state is normal, triggers a timeout judging sub-module to judge whether timeout conditions occur in cargo transportation, if not timeout occurs, triggers a transit queuing sub-module to orderly sort the scanned cargoes, waits for the current transit station to execute sorting, assembly and transit, and if timeout occurs, directly triggers a sorting loading module;
S4, sorting and loading modules sort and sort cargoes according to order information, sort cargoes going to the same transfer station together, arrange transport vehicles for loading, and transfer the cargoes among different logistics nodes through a transfer conveying module;
S5, in the process of transferring the goods, the real-time monitoring module accurately acquires position data of the vehicle through the vehicle tracking submodule, tracks the current position of the goods in real time, then the information acquisition submodule collects weather information and road condition information on the way of the current transfer station to the next transfer station based on the real-time position information, and then the monitoring calculation submodule acquires latest logistics estimated time length data through calculation and updates the logistics total estimated time length in real time through the time length updating submodule;
and S6, delivering the goods from the last logistics node to a final destination through a site delivery module, and delivering the goods to the hands of a user, wherein the user can query information through a user operation page and perform related operations.
The embodiments of the invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (10)
1. A system for monitoring, tracking and tracing a flow of material, comprising:
The order management module is responsible for receiving, processing and storing order information of clients, sequentially generating, distributing and printing express orders for processing the orders, and providing basic data for subsequent logistics links;
The scanning and recording module is used for scanning cargoes through a bar code or RFID technology, recording cargo information into the system and scanning and checking the cargoes;
the path planning module is responsible for extracting an originating place and a target place of goods from order information, importing the originating place and the target place into Arc GIS software for optimal transportation path analysis, planning an optimal transportation path for a logistics vehicle, and combining logistics nodes involved in the transportation path statistics path;
The preliminary estimation module is used for calling past logistics data from the system database according to the planned transportation path, and counting the past average transportation time of the adjacent transfer stations related to the transportation path so as to obtain a preliminary estimated logistics total estimated time;
the scanning analysis module is used for carrying out omnibearing scanning inspection on cargoes, analyzing cargo conditions based on collected data, and triggering corresponding treatment measures aiming at different cargo states so as to ensure smooth proceeding of a logistics flow;
the sorting and loading module is responsible for sorting and sorting cargoes according to order information, sorting cargoes going to the same transfer station together, arranging transport vehicles for loading, and ensuring that the cargoes can be loaded according to the correct destination and transport sequence;
The transfer conveying module is responsible for transferring cargoes among different logistics nodes, including monitoring and scheduling in the processes of loading, unloading and transporting the cargoes, so that the cargoes can reach the next node according to a plan, and smooth operation of the whole logistics flow is ensured;
The real-time monitoring module monitors real-time transportation conditions of the vehicles by tracking the logistics vehicles and collecting real-time related data of the logistics vehicles, and calculates and updates the expected logistics duration in real time according to the real-time transportation conditions;
The site dispatching module is responsible for dispatching the goods from the last logistics node to a final destination, and comprises the establishment of a dispatching plan, the dispatching of dispatching personnel and the real-time monitoring of a dispatching process, so that the goods can be timely and safely dispatched to the hands of a user;
The user operation page provides an intuitive and convenient interface for a user, so that the user can inquire information and perform related operation, has the function of predicting delivery time and updating in real time, and provides user-friendly interaction experience.
2. The system for monitoring, tracking and tracing a logistics of claim 1, wherein said cargo scanning inspection comprises in particular:
x-ray scanning: the X-ray is utilized to penetrate the package, and the outline and the form of the articles in the package are displayed through a computer image processing technology, so that contraband articles and dangerous articles are detected, the contraband articles in the package are rapidly identified, and the security of the package of goods is ensured;
millimeter wave scanning: penetrating the goods package through millimeter waves, and detecting the articles in the package through analysis of reflected waves so as to find abnormal articles in the package;
Infrared scanning: the infrared ray is utilized to scan the goods package, the property and the state of the goods in the package are judged by analyzing the absorption, reflection and scattering properties of infrared radiation, and the record is carried out, so that reference data support is provided for the subsequent detection of the damage or the lack of the goods.
3. The system for monitoring, tracking and tracing a flow according to claim 1, wherein said flow node comprises in particular:
start site: a first logistics node;
And (3) transfer station: a logistics node between the first and last one;
The target site: and the last logistics node.
4. The system for monitoring, tracking and tracing a flow of claim 1, wherein said scanning analysis module specifically comprises:
Cargo scanning sub-module: identifying and recording cargoes by using a bar code scanning technology, comparing the cargoes with records in a database to confirm the identity, the number and other related information of the cargoes, secondarily scanning the cargo state by using a nuclear magnetic resonance technology, collecting cargo state data, and providing a basis for subsequent state judgment, wherein the nuclear magnetic resonance technology scans packages by using a nuclear magnetic resonance principle to acquire molecular structure and chemical composition information of articles in the packages, so as to identify abnormal substances or structural changes in the packages;
and a state judging sub-module: the damage condition of the goods is accurately estimated by comparing the actual data and the standard data of the goods and analyzing the images of the goods by utilizing an algorithm and a machine learning technology so as to judge the state of the goods;
a logistics terminator module: the system is used for immediately stopping the logistics flow of the goods and informing related personnel to process, and recording termination reasons and related information at the same time so as to facilitate subsequent tracking and analysis;
and a timeout judging sub-module: judging whether overtime conditions occur in cargo transportation or not by comparing the difference value of cargo inbound time and expected time;
and the transfer queuing sub-module: and the scanned cargoes are orderly sequenced and wait for the current transfer station to execute sorting, assembling and transfer.
5. The system for monitoring, tracking and tracing a commodity circulation according to claim 4, wherein an output end of said state judging sub-module is connected with a commodity circulation terminating sub-module for outputting a judging result of an abnormal state of the commodity, and an output end of said state judging sub-module is connected with a timeout judging sub-module for outputting a judging result of a normal state of the commodity.
6. The system for monitoring, tracking and tracing logistics according to claim 4, wherein an output end of said timeout determination sub-module is connected with a transit queuing sub-module for outputting a determination result that transportation is not timeout, and an output end of said status determination sub-module is connected with a sorting loading module for outputting a determination result that transportation is timeout.
7. The system for monitoring, tracking and tracing a flow of claim 1, wherein said real-time monitoring module specifically comprises:
The vehicle tracking sub-module accurately acquires the position data of the vehicle through a GPS positioning technology, a wireless communication technology and a map matching technology and tracks the position and the state of the logistics vehicle in real time;
The information acquisition submodule is used for collecting the weather information and the road condition information of the current transfer station in the way of going to the next transfer station based on the real-time position information, and comprises the steps of acquiring the weather information from a weather service system and acquiring the road condition information from a traffic monitoring system;
The monitoring and calculating sub-module is used for analyzing the influence of weather and road condition factors on the speed of the vehicle based on the position information provided by the vehicle tracking sub-module and the weather and road condition information provided by the information acquisition sub-module and calculating the latest estimated time;
And the time length updating sub-module is used for updating the total expected time length of the logistics in real time according to the calculation result of the monitoring calculation sub-module.
8. The system for monitoring, tracking and tracing a flow according to claim 7, wherein said calculating the latest estimated time length includes calculating an estimated time length t_es for the current transfer station to go to the next transfer station, and calculating a total estimated time length T for the flow;
The formula of T_es is as follows:
Wherein, T_es represents the expected time length of the current transfer station going to the next transfer station, T_el represents the elapsed time length of the current transfer station going to the next transfer station, S represents the position of the next transfer station, i.e. the position of the (i+1) th transfer station, S 'represents the current position of the vehicle, and v' represents the current real-time speed;
The calculation formula of T is as follows:
Wherein T represents the total predicted length of the logistics, T_es represents the predicted length of the current transfer station going to the next transfer station, namely the predicted length from the ith transfer station to the (i+1) th transfer station, T' represents the predicted length of the rest transfer, T i+1 represents the time of reaching the ith transfer station, T i reaches the (i-1) th transfer station, N represents the number of the reached transfer stations, and N E N+.
9. The system for monitoring, tracking and tracing a material flow according to claim 1, wherein said user operated page specifically comprises:
web server sub-module: the method comprises the steps of being responsible for processing requests and responses of users, receiving instructions from a client, analyzing the instructions, distributing the instructions to corresponding functional modules for processing, and returning processing results to the client;
GIS server submodule: by using the geographic information system technology, the spatial analysis and visual display of the logistics information are realized, and the user is helped to intuitively know the goods information.
10. Method for monitoring, tracking and tracing a flow, applied to a system for monitoring, tracking and tracing a flow according to any of the claims 1-9, characterized in that the method comprises the steps of:
s1, after a customer submits a logistics order, an order management module receives, processes and stores order information of the customer, sequentially processes the order to generate, distribute and print an express order, and then a scanning and recording module scans goods through a bar code or RFID technology, records the goods information into a system, and scans and checks the goods, including X-ray scanning, millimeter wave scanning and infrared scanning;
S2, extracting an originating place and a target place of goods from order information by a path planning module, planning an optimal transportation path for a logistics vehicle, counting logistics nodes involved in the path, and then calling logistics data from a system database by a preliminary estimation module according to the planned transportation path to preliminarily estimate total expected logistics duration;
S3, a cargo scanning sub-module of the scanning analysis module uses a bar code scanning technology to identify and record cargoes, compares the cargoes with records in a database to confirm the identity, the quantity and other related information of the cargoes, then uses a nuclear magnetic resonance technology to scan the cargo state for the second time, collects cargo state data, judges the cargo state through a state judging sub-module, if the cargo state is abnormal, triggers a logistics ending sub-module, immediately stops the logistics flow of the cargoes, notifies related personnel to process, records termination reasons and related information, if the cargo state is normal, triggers a timeout judging sub-module to judge whether timeout conditions occur in cargo transportation, if not timeout occurs, triggers a transit queuing sub-module to orderly sort the scanned cargoes, waits for the current transit station to execute sorting, assembly and transit, and if timeout occurs, directly triggers a sorting loading module;
S4, sorting and loading modules sort and sort cargoes according to order information, sort cargoes going to the same transfer station together, arrange transport vehicles for loading, and transfer the cargoes among different logistics nodes through a transfer conveying module;
S5, in the process of transferring the goods, the real-time monitoring module accurately acquires position data of the vehicle through the vehicle tracking submodule, tracks the current position of the goods in real time, then the information acquisition submodule collects weather information and road condition information on the way of the current transfer station to the next transfer station based on the real-time position information, and then the monitoring calculation submodule acquires latest logistics estimated time length data through calculation and updates the logistics total estimated time length in real time through the time length updating submodule;
and S6, delivering the goods from the last logistics node to a final destination through a site delivery module, and delivering the goods to the hands of a user, wherein the user can query information through a user operation page and perform related operations.
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