Big data analysis system for smart city

Abstract

The invention discloses a big data analysis system for a smart city, and relates to the technical field of big data analysis. According to the invention, the accuracy of tracing the abnormal logistics is effectively improved; the method comprises the following steps: acquiring current information data corresponding to a transported article through a logistics information acquisition module, setting a sorting node, acquiring sorting information data of the transported article corresponding to the current information data, and establishing a transport information data model according to the current information data and the sorting information data; acquiring transportation information data in real time according to the transportation information data model, and synchronizing the transportation information data to a corresponding scanning terminal in real time; the sorting information data is automatically judged, and the abnormal transportation process type is obtained; acquiring received transport article information data, performing analysis to acquire abnormal received transport article information data, and generating feedback information according to the abnormal received transport article information data; and finally, tracking the transport article corresponding to the abnormal transport article information data according to the feedback information.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a big data analysis system for a smart city. Background Art

[0002] Smart city refers to the application of intelligent computing technologies such as the Internet of Things, cloud computing, big data, and spatial geographic information integration in the fields of urban planning, design, construction, management, and operation, making the key infrastructure components and services of cities such as urban management, education, medical care, real estate, transportation, public utilities, and public safety more interconnected, efficient, and intelligent; the construction of smart cities also has a significant driving effect on the development of medical care, transportation, logistics, finance, communications, education, energy, environmental protection, etc. Therefore, the comprehensive improvement of the construction of smart cities is of great significance; However, in the prior art, there are several sorting points in the transportation process of smart logistics in smart cities, and there are several transport items at each sorting point. Therefore, there may be sorting errors in the sorting process, resulting in sorting errors, swapping of transport items, etc. There may also be abnormal transport items, abnormal item categories, abnormal numbers of items, etc., which leads to the inability to accurately trace the abnormal time, abnormal sorting location, etc. when sorting abnormalities occur. Therefore, in order to solve the above problems, the present invention provides a big data analysis system for smart cities. Summary of the invention

[0003] In order to solve the above technical problems, the present invention provides a big data analysis system for smart cities; The object of the present invention can be achieved by the following technical solutions: A big data analysis system for smart cities, comprising a cloud platform, wherein the cloud platform is wirelessly connected to a logistics information collection module, a logistics information synchronization module, an autonomous judgment module, an abnormality analysis module, and a logistics tracing module; The logistics information collection module is used to collect current information data corresponding to the transported items, set sorting nodes, obtain sorting information data of the transported items corresponding to the current information data, and then establish a transport information data model based on the current information data and the sorting information data; The logistics information synchronization module is connected to a number of scanning terminals, which are used to obtain the transportation information data in real time according to the transportation information data model, and synchronize it to the corresponding scanning terminal in real time; The autonomous judgment module is used to make autonomous judgments on the sorting information data and obtain the type of abnormal transportation process; The abnormality analysis module is used to obtain the received transported item information data, analyze the received transported item information data, obtain abnormal received transported item information data, and then generate feedback information according to the abnormal received transported item information data; The logistics tracing module is used to track the transported items corresponding to the abnormal transported item information data according to the feedback information.

[0004] Furthermore, the current information data collection process includes: The image of the transported item corresponding to the transported item is obtained through the camera device, and the item category, item name and item quantity corresponding to the transported item image are obtained, and connected with the transported item image to generate the transported item's own information data; the basic logistics information data corresponding to the transported item is collected through the logistics platform, and connected with the own information data and stored in the RFID tag; the RFID tag and the express delivery note corresponding to the transported item are integrated to generate the current information data.

[0005] Furthermore, the process of establishing the transportation information data model includes: Each RFID tag is used as an identification node corresponding to each transported item, and a plurality of sorting nodes are set on the identification node to store various sorting information data; A sorting subsystem is set up, and the sorting subsystem includes a sorting scanning unit, a sorting camera unit and a sorting input unit. The sorting scanning unit scans the RFID tag to obtain the current information data corresponding to the transported items, sorts the transported items according to the current information data, and obtains the sorting time node; the sorting camera unit includes a first sorting camera unit and a second sorting camera unit; the first sorting camera unit is used to collect the corresponding sorting clerk image according to the sorting time node; the second sorting camera unit is used to collect the corresponding sorting process video, connect the sorting clerk image and the sorting process video with the corresponding scanned RFID tag to generate a sorting image, and store it on the cloud platform; then the sorting input unit automatically identifies the sorting clerk image to obtain the corresponding sorting clerk name and sorting clerk contact information; According to the RFID tag, the sorting information data is stored in the sorting node corresponding to the identification node in the order of numbering, and so on, each sorting information data is stored in the corresponding sorting node; and then each identification node is connected to establish a transportation information data model.

[0006] Furthermore, the process of the logistics information synchronization module acquiring the transportation information data in real time according to the transportation information data model includes: The scanning terminal is obtained by scanning the RFID tag and wirelessly connected with the corresponding identification node; the sorting information data corresponding to each sorting node and the current information data corresponding to the identification node are integrated according to the transportation information data model to generate transportation information data, and synchronized to the scanning terminal in real time according to the sorting time node for display.

[0007] Furthermore, the autonomous judgment module autonomously judges the sorting information data to obtain the abnormal transportation process type, including: The abnormal transport process type is set to obtain various transport information data corresponding to the transported items. The customer corresponding to the scanning terminal independently obtains the sorting process video corresponding to the transported items according to the sorting time node, and independently watches the sorting process video to determine whether the transported items are abnormal; If it is abnormal, the abnormal transportation process type is determined; otherwise, no action is taken.

[0008] Furthermore, the process of the abnormal analysis module acquiring the received transported item information data and generating feedback information includes: Receive the transported item, and obtain the received transported item information data corresponding to the transported item through the camera device, send the received transported item information data to the identification node corresponding to the RFID tag, and match it with its own information data: If the match is successful, the corresponding transported item will be marked as a safe transported item; otherwise, the corresponding received transported item information data will be marked as abnormal received transported item information data, and the corresponding current information data will be obtained and merged with the abnormal received transport information data to generate feedback information.

[0009] Furthermore, the process of the logistics tracing module tracking the transported items corresponding to the abnormal transported items information data according to the feedback information includes: The feedback information is sent to the preset management terminal, the identification node corresponding to the abnormal received transport item information data is obtained, and the corresponding sorting nodes are obtained, and then the sorting information data corresponding to the sorting nodes are obtained, and each sorting information data is traced, and the abnormal sorting node corresponding to the abnormal received transport item information data is obtained, and then the transport items corresponding to the abnormal received transport item information data of the abnormal sorting node are traced.

[0010] Furthermore, the management terminal receives the abnormal transportation process type, obtains the sorting node corresponding to the abnormal transportation process type, and obtains the corresponding sorting clerk information data, and notifies the corresponding sorting clerk according to the sorting clerk information data. The sorting clerk confirms the abnormal transportation process type through the sorting information data. If it is confirmed to be the corresponding abnormal transportation process type, the corresponding customer is contacted through the identification node and processed; otherwise, a reasonable reason is obtained and sent to the corresponding scanning terminal.

[0011] Compared with the prior art, the beneficial effects of the present invention are: collecting current information data corresponding to the transported items through the logistics information collection module, setting sorting nodes, obtaining sorting information data of the transported items corresponding to the current information data, and then establishing a transport information data model according to the current information number and the sorting information data; obtaining the transport information data in real time according to the transport information data model, and synchronizing it to the corresponding scanning terminal in real time; then making self-judgment on the sorting information data to obtain the type of abnormal transport process; obtaining the received transported item information data, analyzing and obtaining the abnormal received transported item information data, and then generating feedback information according to the abnormal received transported item information data; finally, tracking the transported items corresponding to the abnormal transported item information data according to the feedback information; the present invention effectively improves the accuracy of abnormal logistics tracing. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0013] Figure 1 It is a schematic diagram of the present invention.

[0014] Figure 2 This is the schematic diagram of the sorting subsystem. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] like Figure 1 As shown, a big data analysis system for smart cities includes a cloud platform, and the cloud platform is wirelessly connected to a logistics information collection module, a logistics information synchronization module, an autonomous judgment module, an abnormality analysis module, and a logistics tracing module; The logistics information collection module is used to collect current information data corresponding to the transported items, set sorting nodes, obtain sorting information data of the transported items corresponding to the current information data, and then establish a transport information data model based on the current information data and the sorting information data; The logistics information synchronization module is connected to a number of scanning terminals, which are used to obtain the transportation information data in real time according to the transportation information data model, and synchronize it to the corresponding scanning terminal in real time; The autonomous judgment module is used to make autonomous judgments on the sorting information data and obtain the type of abnormal transportation process; The abnormality analysis module is used to obtain the received transported item information data, analyze the received transported item information data, obtain abnormal received transported item information data, and then generate feedback information according to the abnormal received transported item information data; The logistics tracing module is used to track the transported items corresponding to the abnormal transported items information data according to the feedback information; It should be further explained that the current information data collection process includes: Acquire the transported item image corresponding to the transported item through the camera device, obtain the item category, item name and item quantity corresponding to the transported item image, and connect them with the transported item image to generate the transported item's own information data; collect the basic logistics information data corresponding to the transported item through the logistics platform, and connect them with the own information data to store in the RFID tag; integrate the RFID tag with the express delivery slip corresponding to the transported item to generate the current information data; In the above embodiment, it should be further explained that the basic logistics information data includes the place of shipment, the place of receipt, the contact person, the contact information, etc.; The process of establishing the transportation information data model includes: Each RFID tag is used as an identification node corresponding to each transported item, and a number of sorting nodes are set on the identification node and numbered, denoted as i=1, 2, ..., j, where j is a positive integer; used to store various sorting information data; the sorting information data includes sorting clerk information data, sorting address and sorting process image; the sorting clerk information data includes sorting clerk image, sorting clerk name and sorting clerk contact information; like Figure 2 As shown, it needs to be further explained that the process of obtaining the sorting information data includes: A sorting subsystem is set up, and the sorting subsystem includes a sorting scanning unit, a sorting camera unit and a sorting input unit. The sorting scanning unit scans the RFID tag to obtain the current information data corresponding to the transported items, sorts the transported items according to the current information data, and obtains the sorting time node; the sorting camera unit includes a first sorting camera unit and a second sorting camera unit; the first sorting camera unit is used to collect the corresponding sorting clerk image according to the sorting time node; the second sorting camera unit is used to collect the corresponding sorting process video, connect the sorting clerk image and the sorting process video with the corresponding scanned RFID tag to generate a sorting image, and store it on the cloud platform; then the sorting input unit automatically identifies the sorting clerk image to obtain the corresponding sorting clerk name and sorting clerk contact information; According to the RFID tag, the sorting information data is stored in the sorting node corresponding to the identification node in the order of numbering, and so on, each sorting information data is stored in the corresponding sorting node; and then each identification node is connected to establish a transportation information data model.

[0017] In the above embodiment, it needs to be further explained that each transported item needs to be sorted and transported multiple times on the route from the shipping place to the receiving place, and then arrives at the receiving place. In order to prevent the transported items from being sorted or swapped during transportation, each sorting information data is connected to the RFID tag to improve the safety of the transported items during transportation.

[0018] It is further explained that the process of the logistics information synchronization module acquiring the transportation information data in real time according to the transportation information data model includes: The scanning terminal is obtained by scanning the RFID tag and wirelessly connected with the corresponding identification node; the sorting information data corresponding to each sorting node and the current information data corresponding to the identification node are integrated according to the transportation information data model to generate transportation information data, and synchronized to the scanning terminal in real time according to the sorting time node for display.

[0019] In the above embodiment, it needs to be further explained that the RFID tag corresponding to each transported item is sent to the terminal corresponding to the basic logistics information data to generate a scanning terminal. Similarly, all terminals that scan the corresponding RFID tags are generated as scanning terminals, and then the scanning terminals can share the transportation information data corresponding to the transported items, thereby improving the interaction of transportation information data.

[0020] It should be further explained that the process in which the autonomous judgment module autonomously judges the sorting information data and obtains the abnormal transportation process type includes: Setting abnormal transport process types, including package damage, transported items swapped, and package opening; obtaining various transport information data corresponding to the transported items, and the customer corresponding to the scanning terminal autonomously obtains the sorting process video corresponding to the transported items according to the sorting time node, and autonomously watches the sorting process video to determine whether the transported items are abnormal; If it is abnormal, the abnormal transportation process type is determined; otherwise, no action is taken.

[0021] In the above embodiment, it needs to be further explained that the transportation information data corresponding to the identification node corresponding to the transportation information data model is updated in real time on the corresponding scanning terminal by scanning the RFID tag, the transportation information data corresponding to the transported items is supervised by the sorting node, the sorting image corresponding to each sorting node is obtained, and the transportation information data corresponding to each sorting node is judged by the sorting process video to judge the corresponding abnormal transportation process type; further, the transportation information data is updated in real time on the corresponding scanning terminal, and the personnel corresponding to the scanning terminal independently watch the sorting process video and independently select the corresponding abnormal transportation process type; the purpose of the independent viewing of this process is that each person has a different definition of the degree of damage, so it is necessary to independently judge the type of abnormal transportation process.

[0022] It should be further explained that the process of the abnormal analysis module acquiring the received transported item information data, analyzing the received transported item information data, acquiring abnormal received transported item information data, and generating feedback information according to the abnormal received transported item information data includes: Receive the transported item, and obtain the received transported item information data corresponding to the transported item through the camera device, send the received transported item information data to the identification node corresponding to the RFID tag, and match it with its own information data: If the match is successful, the corresponding transported item will be marked as a safe transported item; otherwise, the corresponding received transported item information data will be marked as abnormal received transported item information data, and the corresponding current information data will be obtained and merged with the abnormal received transport information data to generate feedback information.

[0023] In the above embodiment, it needs to be further explained that the abnormal received transportation information data includes an abnormal transported item image, an abnormal item category, and an abnormal item quantity.

[0024] It should be further explained that the process of the logistics tracing module tracking the transported items corresponding to the abnormal transported items information data according to the feedback information includes: Send the feedback information to the preset management terminal, obtain the identification node corresponding to the abnormal received transport item information data, obtain the corresponding sorting node, and then obtain the sorting information data corresponding to the sorting node, trace each sorting information data, obtain the abnormal sorting node corresponding to the abnormal received transport item information data, and trace the sorting clerk according to the sorting clerk information data, and then trace the transport item corresponding to the abnormal received transport item information data; The management terminal receives the abnormal transportation process type, obtains the sorting node corresponding to the abnormal transportation process type, and obtains the corresponding sorting clerk information data, and notifies the corresponding sorting clerk according to the sorting clerk information data. The sorting clerk confirms the abnormal transportation process type through the sorting information data. If it is confirmed to be the corresponding abnormal transportation process type, the corresponding customer is contacted through the identification node and processed; otherwise, a reasonable reason is obtained and sent to the corresponding scanning terminal.

[0025] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0026] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A big data analysis system for smart cities, including a cloud platform, characterized in that: The cloud platform wireless communication is connected to a logistics information collection module, a logistics information synchronization module, an autonomous judgment module, an abnormality analysis module and a logistics tracing module; The logistics information collection module is used to collect current information data corresponding to the transported items, set sorting nodes, obtain sorting information data of the transported items corresponding to the sorting nodes, and then establish a transport information data model based on the current information data and sorting information data; The logistics information synchronization module is connected to a number of scanning terminals, which are used to obtain the transportation information data in real time according to the transportation information data model, and synchronize it to the corresponding scanning terminal in real time; The autonomous judgment module is used to make autonomous judgments on the sorting information data and obtain the type of abnormal transportation process; The abnormal analysis module is used to obtain the received transported item information data, and to analyze and obtain the abnormal received transported item information data, and then to generate feedback information according to the abnormal received transported item information data; The logistics tracing module is used to track the transported items corresponding to the abnormal transported item information data according to the feedback information, and to confirm the type of abnormal transport process.

2. A big data analysis system for smart cities according to claim 1, characterized in that: The current information data collection process includes: The image of the transported item corresponding to the transported item is obtained through the camera device, and the item category, item name and item quantity corresponding to the transported item image are obtained, and connected with the transported item image to generate the transported item's own information data; the basic logistics information data corresponding to the transported item is collected through the logistics platform, and connected with the own information data and stored in the RFID tag; the RFID tag and the express delivery note corresponding to the transported item are integrated to generate the current information data.

3. A big data analysis system for smart cities according to claim 2, characterized in that: The process of establishing the transportation information data model includes: Each RFID tag is used as an identification node corresponding to each transported item, and a plurality of sorting nodes are set on the identification node to store various sorting information data; A sorting subsystem is set up, and the sorting subsystem includes a sorting scanning unit, a sorting camera unit and a sorting input unit. The sorting scanning unit scans the RFID tag to obtain the current information data corresponding to the transported items, sorts the transported items according to the current information data, and obtains the sorting time node; the sorting camera unit includes a first sorting camera unit and a second sorting camera unit; the first sorting camera unit is used to collect the corresponding sorting clerk image according to the sorting time node; the second sorting camera unit is used to collect the corresponding sorting process video, connect the sorting clerk image and the sorting process video with the corresponding scanned RFID tag to generate a sorting image, and store it on the cloud platform; then the sorting input unit automatically identifies the sorting clerk image to obtain the corresponding sorting clerk name and sorting clerk contact information; According to the RFID tag, the sorting information data is stored in the sorting node corresponding to the identification node in the order of numbering, and so on, each sorting information data is stored in the corresponding sorting node; and then each identification node is connected to establish a transportation information data model.

4. A big data analysis system for smart cities according to claim 3, characterized in that: The process of the logistics information synchronization module acquiring the transportation information data in real time according to the transportation information data model includes: The scanning terminal is obtained by scanning the RFID tag and wirelessly connected with the corresponding identification node; the sorting information data corresponding to each sorting node and the current information data corresponding to the identification node are integrated according to the transportation information data model to generate transportation information data, and synchronized to the scanning terminal in real time according to the sorting time node for display.

5. A big data analysis system for smart cities according to claim 4, characterized in that: The autonomous judgment module autonomously judges the sorting information data to obtain the abnormal transportation process type, including: The abnormal transport process type is set to obtain various transport information data corresponding to the transported items. The customer corresponding to the scanning terminal independently obtains the sorting process video corresponding to the transported items according to the sorting time node, and independently watches the sorting process video to determine whether the transported items are abnormal; If it is abnormal, the abnormal transportation process type is determined; otherwise, no action is taken.

6. A big data analysis system for smart cities according to claim 5, characterized in that: The process of the abnormal analysis module acquiring the received transported item information data and generating feedback information includes: Receive the transported item, and obtain the received transported item information data corresponding to the transported item through the camera device, send the received transported item information data to the identification node corresponding to the RFID tag, and match it with its own information data: If the match is successful, the corresponding transported item will be marked as a safe transported item; otherwise, the corresponding received transported item information data will be marked as abnormal received transported item information data, and the corresponding current information data will be obtained and merged with the abnormal received transport information data to generate feedback information.

7. A big data analysis system for smart cities according to claim 6, characterized in that: The process of the logistics tracing module tracking the transported items corresponding to the abnormal transported items information data according to the feedback information includes: The feedback information is sent to a preset management terminal, the identification node corresponding to the abnormal received transport item information data is obtained, and the corresponding sorting nodes are obtained, and then the sorting information data corresponding to the sorting nodes are obtained, and each sorting information data is traced, and the abnormal sorting node corresponding to the abnormal received transport item information data is obtained, and then the transport items corresponding to the abnormal received transport item information data of the abnormal sorting node are traced.

8. A big data analysis system for smart cities according to claim 7, characterized in that: The process of confirming the abnormal transportation process type includes: The management terminal receives the abnormal transportation process type, obtains the sorting node corresponding to the abnormal transportation process type, and obtains the corresponding sorting clerk information data, and notifies the corresponding sorting clerk according to the sorting clerk information data. The sorting clerk confirms the abnormal transportation process type through the sorting information data. If it is confirmed to be the corresponding abnormal transportation process type, the corresponding customer is contacted through the identification node and processed; otherwise, a reasonable reason is obtained and sent to the corresponding scanning terminal.

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