A Big Data Analytics System for Smart Cities

Abstract

The application discloses a big data analysis system for a smart city, and relates to the technical field of big data analysis; the application effectively improves the accuracy of abnormal logistics traceability; current information data corresponding to transported goods is collected through a logistics information collection module, a sorting node is set, sorting information data of the transported goods corresponding to the current information data is acquired, and then a transportation information data model is established according to the current information data and the sorting information data; transportation information data is acquired in real time according to the transportation information data model, and is synchronously transmitted to a corresponding scanning terminal in real time; then, the sorting information data is self-judged to acquire an abnormal transportation process type; information data of received transported goods is acquired, analyzed and processed to acquire abnormal information data of received transported goods, and then feedback information is generated according to the abnormal information data of received transported goods; finally, abnormal transported goods are tracked according to the feedback information.

Description

Technical Field

[0001] This invention relates to the field of big data analytics technology, specifically a big data analytics system for smart cities. Background Technology

[0002] A smart city refers to the application of intelligent computing technologies such as the Internet of Things, cloud computing, big data, and geospatial information integration in urban planning, design, construction, management, and operation. This makes key infrastructure components and services of a city, including urban management, education, healthcare, real estate, transportation, public utilities, and public safety, more interconnected, efficient, and intelligent. Furthermore, the construction of smart cities has a significant driving effect on the development of fields such as healthcare, transportation, logistics, finance, communications, education, energy, and environmental protection. Therefore, the comprehensive improvement of smart city construction is of great significance.

[0003] However, in existing technologies, smart logistics in smart cities involves several sorting points during transportation, each with several transported items. This can lead to sorting errors, such as incorrect sorting or swapping of transported items. Furthermore, there may be abnormal transported items, abnormal item categories, or abnormal item quantities. Consequently, when sorting anomalies occur, it is impossible to accurately trace the time and location of the anomaly. Therefore, to address these issues, this invention provides a big data analysis system for smart cities. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a big data analysis system for smart cities;

[0005] The objective of this invention can be achieved through the following technical solution: a big data analysis system for smart cities, including 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 anomaly analysis module, and a logistics traceability module;

[0006] The logistics information collection module is used to collect current information data corresponding to the transported goods, set up sorting nodes, obtain sorting information data of the transported goods corresponding to the current information data, and then establish a transport information data model based on the current information data and sorting information data.

[0007] The logistics information synchronization module is connected to several scanning terminals, which are used to acquire transportation information data in real time according to the transportation information data model and synchronize it to the corresponding scanning terminals in real time.

[0008] The autonomous judgment module is used to automatically judge the sorting information data and obtain the type of abnormal transportation process;

[0009] The anomaly analysis module is used to acquire received transported goods information data, analyze the received transported goods information data, acquire abnormal received transported goods information data, and then generate feedback information based on the abnormal received transported goods information data.

[0010] The logistics traceability module is used to track transported items corresponding to abnormal transport information data based on feedback information.

[0011] Furthermore, the process of collecting the current information data includes:

[0012] The system acquires images of the transported goods using a camera device, obtains the category, name, and quantity of the goods corresponding to the images, and connects these images to generate the goods' own information data. It also collects basic logistics information data of the transported goods through a logistics platform, connects this information data with the goods' own information data, and stores it in an RFID tag. Finally, it integrates the RFID tag with the corresponding express delivery slip to generate current information data.

[0013] Furthermore, the process of establishing the transportation information data model includes:

[0014] Each RFID tag serves as an identification node for each transported item, and several sorting nodes are set on the identification nodes to store sorting information data.

[0015] A sorting subsystem is set up, comprising a sorting scanning unit, a sorting camera unit, and a sorting input unit. The sorting scanning unit scans RFID tags to obtain current information data corresponding to the transported items, sorts the items based on this data, and obtains sorting time nodes. The sorting camera unit includes a first sorting camera unit and a second sorting camera unit. The first sorting camera unit is used to capture images of the corresponding sorting staff based on the sorting time nodes. The second sorting camera unit is used to capture corresponding sorting process videos. The sorting staff images and sorting process videos are connected with the corresponding scanned RFID tags to generate a sorting image, which is stored on a cloud platform. Then, the sorting input unit automatically identifies the sorting staff images to obtain the corresponding sorting staff name and contact information.

[0016] Based on the RFID tags, the sorting information data is stored in the sorting node corresponding to the identification node according to the number sequence. In this way, the sorting information data of each time is stored in the corresponding sorting node; then the various identification nodes are connected to establish a transportation information data model.

[0017] Furthermore, the process by which the logistics information synchronization module acquires transportation information data in real time based on the transportation information data model includes:

[0018] The scanning terminal is obtained by scanning RFID tags and wirelessly connected to the corresponding identification node. According to the transportation information data model, the sorting information data corresponding to each sorting node and the current information data corresponding to the identification node are integrated to generate transportation information data, which is then synchronized to the scanning terminal in real time according to the sorting time node for display.

[0019] Furthermore, the process by which the autonomous judgment module independently judges the sorting information data and obtains the type of abnormal transportation process includes:

[0020] Set abnormal transportation process types, obtain various transportation information data corresponding to the transported items, and the customer corresponding to the scanning terminal can independently obtain the sorting process video corresponding to the transported items according to the sorting time node, and independently watch the sorting process video to determine whether the transported items have abnormalities.

[0021] If an anomaly is detected, the type of abnormal transportation process will be determined; otherwise, no action will be taken.

[0022] Furthermore, the process by which the anomaly analysis module acquires received transported goods information data and generates feedback information includes:

[0023] The system receives transported goods and acquires the received goods information data via a camera device. This data is then sent to the corresponding identification node of the RFID tag for matching with its own information data.

[0024] If a 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 transported item information data to generate feedback information.

[0025] Furthermore, the process by which the logistics traceability module tracks the transported goods corresponding to the abnormal transported goods information data based on the feedback information includes:

[0026] Feedback information is sent to a preset management terminal to obtain the identification node corresponding to the abnormal received transport item information data, and then obtain the corresponding sorting nodes, and then obtain the sorting information data corresponding to the sorting nodes. The sorting information data is traced, the abnormal sorting nodes corresponding to the abnormal received transport item information data are obtained, and then the transport items corresponding to the abnormal sorting nodes with abnormal received transport item information data are traced.

[0027] 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 staff information data. Based on the sorting staff information data, it notifies the corresponding sorting staff. The sorting staff confirms the abnormal transportation process type through the sorting information data. If it is confirmed to be the corresponding abnormal transportation process type, it contacts the corresponding customer through the identification node and handles the issue; otherwise, it obtains a reasonable explanation and sends it to the corresponding scanning terminal.

[0028] Compared with existing technologies, the beneficial effects of this invention are as follows: It collects current information data corresponding to transported goods through a logistics information collection module, sets up sorting nodes, obtains sorting information data of the transported goods corresponding to the current information data, and then establishes a transportation information data model based on the current information data and the sorting information data; it acquires transportation information data in real time based on the transportation information data model and synchronizes it to the corresponding scanning terminal in real time; it then automatically judges the sorting information data to obtain the type of abnormal transportation process; it acquires received transported goods information data, analyzes it to obtain abnormal received transported goods information data, and then generates feedback information based on the abnormal received transported goods information data; finally, it tracks the transported goods corresponding to the abnormal transported goods information data based on the feedback information; this invention effectively improves the accuracy of abnormal logistics tracing. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0030] Figure 1 This is a schematic diagram of the present invention.

[0031] Figure 2 This is a schematic diagram of the sorting subsystem. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] like Figure 1As shown, a big data analysis system for smart cities includes a cloud platform, which is wirelessly connected to a logistics information collection module, a logistics information synchronization module, an autonomous judgment module, an anomaly analysis module, and a logistics traceability module.

[0034] The logistics information collection module is used to collect current information data corresponding to the transported goods, set up sorting nodes, obtain sorting information data of the transported goods corresponding to the current information data, and then establish a transport information data model based on the current information data and sorting information data.

[0035] The logistics information synchronization module is connected to several scanning terminals, which are used to acquire transportation information data in real time according to the transportation information data model and synchronize it to the corresponding scanning terminals in real time.

[0036] The autonomous judgment module is used to automatically judge the sorting information data and obtain the type of abnormal transportation process;

[0037] The anomaly analysis module is used to acquire received transported goods information data, analyze the received transported goods information data, acquire abnormal received transported goods information data, and then generate feedback information based on the abnormal received transported goods information data.

[0038] The logistics traceability module is used to track the transported items corresponding to the abnormal transported items information data based on the feedback information;

[0039] It should be further explained that the current information data collection process includes:

[0040] The system acquires images of the transported goods using a camera device, obtains the category, name, and quantity of the goods corresponding to the images, and connects these images to generate the goods' own information data. It also collects basic logistics information data of the transported goods through a logistics platform, connects this information data with the goods' own information data, and stores it in an RFID tag. Finally, it integrates the RFID tag with the corresponding express delivery slip to generate current information data.

[0041] In the above embodiments, it should be further noted that the basic logistics information data includes the place of shipment, the place of receipt, the contact person, and contact information;

[0042] The process of establishing the transportation information data model includes:

[0043] Each RFID tag serves as an identification node corresponding to each transported item. Several sorting nodes are set up on the identification nodes and numbered as i=1, 2, ..., j, where j is a positive integer. These nodes are used to store sorting information data. The sorting information data includes sorting staff information data, sorting address, and sorting process images. The sorting staff information data includes sorting staff images, sorting staff names, and sorting staff contact information.

[0044] like Figure 2 As shown, it should be further explained that the process of acquiring the sorting information data includes:

[0045] A sorting subsystem is set up, comprising a sorting scanning unit, a sorting camera unit, and a sorting input unit. The sorting scanning unit scans RFID tags to obtain current information data corresponding to the transported items, sorts the items based on this data, and obtains sorting time nodes. The sorting camera unit includes a first sorting camera unit and a second sorting camera unit. The first sorting camera unit is used to capture images of the corresponding sorting staff based on the sorting time nodes. The second sorting camera unit is used to capture corresponding sorting process videos. The sorting staff images and sorting process videos are connected with the corresponding scanned RFID tags to generate a sorting image, which is stored on a cloud platform. Then, the sorting input unit automatically identifies the sorting staff images to obtain the corresponding sorting staff name and contact information.

[0046] Based on the RFID tags, the sorting information data is stored in the sorting node corresponding to the identification node according to the number sequence. In this way, the sorting information data of each time is stored in the corresponding sorting node; then the various identification nodes are connected to establish a transportation information data model.

[0047] In the above embodiments, it should be further explained that each transported item needs to be sorted and transported multiple times on its route from the place of origin to the place of destination. In order to prevent sorting errors or tampering during transportation, the sorting information data of each sorting is connected to an RFID tag to improve the security of the transported items during transportation.

[0048] Furthermore, the process by which the logistics information synchronization module acquires transportation information data in real time based on the transportation information data model includes:

[0049] The scanning terminal is obtained by scanning RFID tags and wirelessly connected to the corresponding identification node. According to the transportation information data model, the sorting information data corresponding to each sorting node and the current information data corresponding to the identification node are integrated to generate transportation information data, which is then synchronized to the scanning terminal in real time according to the sorting time node for display.

[0050] In the above embodiments, it should be further explained that the RFID tags corresponding to each transported item are 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. In this way, the scanning terminals can share the transport information data corresponding to the transported items, thereby improving the interaction of transport information data.

[0051] It should be further explained that the process by which the autonomous judgment module judges the sorting information data and obtains the type of abnormal transportation process includes:

[0052] The abnormal transportation process types are set, including packaging damage, tampering of transported goods, and opening of packaging; various transportation information data corresponding to the transported goods are obtained; the customer corresponding to the scanning terminal can independently obtain the sorting process video corresponding to the transported goods according to the sorting time node, and independently watch the sorting process video to determine whether the transported goods have abnormalities.

[0053] If an anomaly is detected, the type of abnormal transportation process will be determined; otherwise, no action will be taken.

[0054] In the above embodiments, it should be further explained that the transportation information data corresponding to the identification node of the transportation information data model is updated in real time on the corresponding scanning terminal by scanning RFID tags. The transportation information data corresponding to the transported items is monitored by the sorting node, and the sorting image corresponding to each sorting node is obtained. The transportation information data corresponding to each sorting node is judged by the sorting process video to determine the corresponding abnormal transportation process type. Furthermore, the transportation information data is updated in real time on the corresponding scanning terminal, and the personnel at the scanning terminal can independently watch the sorting process video and independently select the corresponding abnormal transportation process type. The purpose of this independent viewing is that everyone has a different definition of the degree of damage, so it is necessary to independently judge the abnormal transportation process type.

[0055] It should be further explained that the process by which the anomaly analysis module acquires received transported goods information data, analyzes the received transported goods information data to obtain abnormal received transported goods information data, and generates feedback information based on the abnormal received transported goods information data includes:

[0056] The system receives transported goods and acquires the received goods information data via a camera device. This data is then sent to the corresponding identification node of the RFID tag for matching with its own information data.

[0057] If a 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 transported item information data to generate feedback information.

[0058] In the above embodiments, it should be further noted that the abnormal received transportation information data includes images of abnormal transported items, categories of abnormal items, and quantities of abnormal items.

[0059] It should be further explained that the process by which the logistics traceability module tracks the transported goods corresponding to the abnormal transported goods information data based on the feedback information includes:

[0060] The feedback information is sent to the preset management terminal to obtain the identification node corresponding to the abnormal received transport item information data, and the corresponding sorting node is obtained. Then, the sorting information data corresponding to the sorting node is obtained, and each sorting information data is traced. The abnormal sorting node corresponding to the abnormal received transport item information data is obtained, and the sorting staff is traced according to the sorting staff information data. Then, the transport item corresponding to the abnormal received transport item information data is traced.

[0061] 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 staff information data. Based on the sorting staff information data, it notifies the corresponding sorting staff. The sorting staff confirms the abnormal transportation process type through the sorting information data. If it is confirmed to be the corresponding abnormal transportation process type, it contacts the corresponding customer through the identification node and handles the issue; otherwise, it obtains a reasonable explanation and sends it to the corresponding scanning terminal.

[0062] The features and exemplary embodiments of various aspects of this application will be described in detail above. In order to make the purpose, technical solution and advantages of this application clearer, the application will be further described in detail above with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit this application. For those skilled in the art, this application can be implemented without some of the details in these specific details. The above description of the embodiments is only to provide a better understanding of this application by showing examples of this application.

[0063] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A big data analysis system for smart city, comprising a cloud platform, characterized in that, The cloud platform is wirelessly connected with a logistics information acquisition module, a logistics information synchronization module, an autonomous judgment module, an abnormality analysis module and a logistics traceability module; The logistics information acquisition module is used for acquiring current information data corresponding to the transported goods, setting a sorting node, acquiring sorting information data of the transported goods corresponding to the sorting node, and then establishing a transportation information data model according to the current information data and the sorting information data; The logistics information synchronization module is connected with a plurality of scanning terminals, and is used for acquiring transportation information data in real time according to the transportation information data model, and synchronizing to the corresponding scanning terminal in real time; The autonomous judgment module is used for self-judging the sorting information data, and acquiring an abnormal transportation process type; The abnormality analysis module is used for acquiring received transportation goods information data, and analyzing to acquire abnormal received transportation goods information data, and then generating feedback information according to the abnormal received transportation goods information data; The logistics traceability module is used for tracking the transported goods corresponding to the abnormal transportation goods information data according to the feedback information, and confirming the abnormal transportation process type; The acquisition process of the current information data includes: transported goods corresponding to the transported goods image, and the transported goods image is connected to generate the self information data corresponding to the transported goods; the basic logistics information data corresponding to the transported goods is acquired through the logistics platform, and is connected with the self information data and stored in the RFID tag; the RFID tag and the express single corresponding to the transported goods are integrated to generate the current information data; The establishment process of the transportation information data model includes: each RFID tag is set as an identification node corresponding to each transported goods, and a plurality of sorting nodes are set on the identification node, which are used for storing each sorting information data; A sorting subsystem is set, which includes a sorting scanning unit, a sorting camera unit and a sorting input unit. The current information data corresponding to the transported goods is acquired by scanning the RFID tag through the sorting scanning unit, the transported goods are sorted according to the current information data, and the sorting time node is acquired. The sorting camera unit includes a first sorting camera unit and a second sorting camera unit. The first sorting camera unit is used for acquiring the image of the corresponding sorting clerk according to the sorting time node. The second sorting camera unit is used for acquiring the sorting process video. The sorting clerk image and the sorting process video are connected with the corresponding scanned RFID tag to generate the sorting image, which is stored in the cloud platform. Then, the sorting input unit automatically identifies the sorting clerk image to acquire 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, and so on. Each time the sorting information data is stored in the corresponding sorting node. Then, the identification nodes are connected to establish the transportation information data model; The process that the logistics information synchronization module acquires the transportation information data in real time according to the transportation information data model includes: The scanning terminal is acquired by scanning the RFID tag, and is wirelessly connected with the corresponding identification node; the sorting information data corresponding to each sorting node is integrated with the current information data corresponding to the identification node according to a transportation information data model to generate transportation information data, and is synchronously displayed on the scanning terminal in real time according to the sorting time node; The self-judgment module judges the sorting information data, and the process of acquiring the abnormal transportation process type includes: An abnormal transportation process type is set, and each transportation information data corresponding to the transportation article is acquired; the scanning terminal corresponds to a customer who autonomously acquires the sorting process video corresponding to the transportation article according to the sorting time node, autonomously watches the sorting process video, and judges whether the transportation article is abnormal; If the transportation article is abnormal, the abnormal transportation process type is judged; otherwise, no processing is performed; The abnormal analysis module acquires the received transportation article information data, and generates feedback information, and the process includes: The received transportation article is received, and the received transportation article information data corresponding to the transportation article is acquired by the camera device; the received transportation article information data is sent to the identification node corresponding to the RFID tag, and is matched with the self-information data: If the matching is successful, the corresponding transportation article is marked as a safe transportation article; otherwise, the corresponding received transportation article information data is marked as abnormal received transportation article information data, and the corresponding current information data is acquired, combined with the abnormal received transportation information data to generate feedback information; The logistics tracing module traces the transportation article corresponding to the abnormal transportation article information data according to the feedback information, and the process includes: The feedback information is sent to the preset management terminal, the identification node corresponding to the abnormal received transportation article information data is acquired, each sorting node corresponding to the identification node is acquired, the sorting information data corresponding to the sorting node is acquired, each sorting information data is traced, the abnormal sorting node corresponding to the abnormal received transportation article information data is acquired, and the transportation article corresponding to the abnormal received transportation article information data of the abnormal sorting node is traced; The process of confirming the abnormal transportation process type includes: The management terminal receives the abnormal transportation process type, acquires the sorting node corresponding to the abnormal transportation process type, acquires the sorting clerk information data corresponding to the sorting node, 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 the abnormal transportation process type is confirmed, the corresponding customer is contacted through the identification node, and is processed; otherwise, a reasonable reason is sent to the corresponding scanning terminal.

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