CN113743870A - Autonomous learning integrated platform for distribution in same city - Google Patents

Autonomous learning integrated platform for distribution in same city Download PDF

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CN113743870A
CN113743870A CN202111037871.7A CN202111037871A CN113743870A CN 113743870 A CN113743870 A CN 113743870A CN 202111037871 A CN202111037871 A CN 202111037871A CN 113743870 A CN113743870 A CN 113743870A
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order
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learning
progress
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孙红军
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Zhengzhou Space Time Tunnel Information Technology Co ltd
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Zhengzhou Space Time Tunnel Information Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations

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Abstract

The invention relates to a city delivery autonomous learning integrated platform, which comprises a human-computer interaction module, an order placing module, an order inquiry module and a simulated order grabbing environment experience module, wherein the order placing module is used for placing an order; the human-computer interaction module is used for displaying the operation interface and receiving the operation event; the order issuing module is used for issuing an order, logging in a user account and issuing the order as required; the order query module is used for entering a task list interface and checking order lists in various states; and the simulated order grabbing environment experience module is used for obtaining a scene of distributing orders by simulating the order grabbing of the deliverer, and plays a role in training and learning to experience real business environment operation. According to the invention, through the integrated autonomous learning platform, the understanding of the main service module, the simulation learning of the order grabbing, order inquiry and order placing services can be realized, the resource integration is carried out, and the convenience of the learning and practicing operations of the user is improved.

Description

Autonomous learning integrated platform for distribution in same city
Technical Field
The invention relates to the technical field of platform development, in particular to an autonomous learning integrated platform for distribution in the same city.
Background
The existing integrated technical means of enterprise learning, message sharing and autonomous learning in the same city delivery can not comprehensively, deeply and quickly share, transmit and simulate real operations. For the same city distribution industry, the APP is usually set up by users and couriers. The work, study and life of couriers need a plurality of APPs to realize, which leads to the complexity of operation and the inconvenience of needing a platform to simulate the study and snatch the single flow.
In the existing order allocation, the selection of a courier is usually performed based on the distance between the courier and a starting point, on one hand, the range planning is unreasonable, and thus, part of the couriers which are positioned near the starting point or are about to reach the starting point cannot obtain orders; on the other hand, the target position of the courier may not point near the starting point and may be moving away from the starting point, which results in a high rejection rate.
The order is not realized yet, and the order dispatching method for grabbing orders for couriers is simulated and opened for all couriers.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an autonomous learning integrated platform for same-city delivery, which integrates resources, realizes an integrated learning simulation platform for learning, message sharing, order grabbing, order inquiry and order placing, can use resources, respond resources and share resources quickly and rapidly, and achieves rapid learning operation.
In order to achieve the aim, the invention provides an autonomous learning integrated platform for same-city delivery, which comprises a human-computer interaction module, an order placing module, an order inquiring module and a simulation interaction order grabbing module;
the human-computer interaction module is used for displaying an operation interface and receiving an operation event;
the ordering module is used for entering an ordering operation interface, ordering according to needs, experiencing and learning an ordering process;
the order query module is used for entering an order list interface, checking orders in various states and experiencing and learning the whole process of order state change;
and the simulation interactive order grabbing module is used for simulating the order grabbing of the deliverer, obtaining the distributed order and experiencing and learning the order grabbing process.
Further, the human-computer interaction module forms an architecture based on the fact Native, displays an operation interface in a side bar mode, displays message pictures by using a FlatList component in a transverse layout mode, and receives an operation event to trigger a corresponding event.
Furthermore, after the ordering module receives the trigger event, the ordering interface of the user is directly opened based on the read Native WebView component, and the ordering can be directly ordered as required under the login state of the user; when the user is not logged in, if the order is required to be placed, the account needs to be logged in first.
Further, after receiving the trigger event, the order query module displays the order lists in different states in the user login state, so that details of each order can be checked.
Furthermore, the simulation interaction order grabbing module comprises a simulation task acquisition unit, an authentication unit, a room forming unit and a task distribution unit;
the simulation task obtaining unit obtains the order to be distributed by the order management platform every period T;
the simulation room forming unit is used for forming a plurality of order grabbing rooms in different areas according to the starting point or the end point of the order to be distributed;
the simulation authentication unit authenticates the identity of the courier, and the courier after passing the authentication is allowed to enter the order grabbing room;
the simulation task allocation unit randomly allocates tasks in each order grabbing room to couriers entering the order grabbing rooms; and after receiving confirmation information of the courier within the specified time, completing the allocation of the order, and if the confirmation information of the courier is not received within the specified time, the type of the courier is not matched with the type of the order or the order rejection information of the courier is received, randomly allocating the order again.
Further, the simulation room forming unit forms each order room into a container.
Further, the total value of the single amount of the container is less than or equal to the number of couriers; and distributing the tasks according to the response speed of the couriers and the number of the idle participation times, and entering the next container to redistribute the tasks if the couriers do not enter the next container.
The electronic book learning system further comprises a learning module, wherein the learning module comprises a video learning unit and an electronic book learning unit; after receiving a trigger event, the video learning unit is linked to a video learning webpage based on a read-Native-Webview component, acquires the current loading progress through onLoadprogress callback of Webview, refreshes the progress value stored in the state, automatically associates and updates the progress percentage of the progress of the page progress bar, and automatically triggers the display progress of the progress bar of the rendering component page progress; the component ant-design/act-native/progress realizes a page progress bar, and loaded video information is output after being forcibly rendered through an H5 component;
after receiving a trigger event, the e-book learning unit is linked to an e-book learning webpage based on a read-Native-Webview component, acquires the current loading progress through onLoadprogress callback of Webview, refreshes the progress value stored in the state, automatically associates and updates the progress percentage of the progress bar progress of the page, and automatically triggers the display progress of the progress bar progress of the rendering component page; and the anti-design/reactive-native/progress component realizes a page progress bar, and the loaded video information is output after being forcibly rendered through the H5 component.
Further, the system also comprises a message display module, which receives the uploaded message content and displays the message content after the verification is passed;
the message display module comprises a receiving unit, an auditing unit and a publishing unit, wherein the receiving unit receives the uploading information of the login user; the auditing unit sends the uploading information of the login user to an auditor for auditing, and the issuing unit issues the message display column after the auditing is passed; and the human-computer interaction module triggers the display and uploading operation of the message display bar after receiving the message display operation event.
The technical scheme of the invention has the following beneficial technical effects:
(1) according to the invention, through an integrated platform, learning simulation services of message sharing, order grabbing, order inquiry and order placing can be realized, resource integration is carried out, and the convenience of learning operation of a user is improved.
(2) The invention provides all the entries which are conventionally required by learning, message acquisition, user order placing simulation, order acquisition and order query for the courier, thereby facilitating the courier to acquire messages in real time, learn to quickly grab orders, quickly query distributed orders and improving the learning efficiency of the courier.
(3) The invention forms a plurality of different area distribution rooms with tasks in a period of time by simulation, and the personnel freely select the tasks according to the self condition and enter the distribution rooms of the corresponding areas to carry the tasks, thereby realizing that the tasks point to the whole personnel, simulating a real task distribution mode and providing the distributor to learn and master the order grabbing method.
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FIG. 1 is a schematic diagram of an integrated autonomous learning platform distributed in the same city;
FIG. 2 is a display interface of the integrated autonomous learning platform distributed in the same city.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The invention provides an autonomous learning integrated platform for same-city delivery, which is combined with a figure 1 and comprises a human-computer interaction module, an order placing module, a simulation interaction order grabbing module, an order inquiry module, a learning module and a message display module.
(1) Man-machine interaction module
And the man-machine interaction module is used for displaying the operation interface and receiving the operation event.
The man-machine interaction module forms a framework based on the fact Native, displays an operation interface in a sidebar mode, and receives an operation event to trigger a corresponding event.
The carousel picture on the homepage shows the message, in order to make the carousel picture slide smoothly, support the finger to slide and switch the page, guarantee that the sliding process does not occupy too big memory overhead, adopt the following mode to realize:
firstly, a FlatList component is used, pictures are transversely arranged, picture multiplexing is supported, and memory occupied by the pictures is reduced.
And secondly, when no gesture is triggered, the picture automatically slides, and a sliding thread is added to maintain a timer 1s and call a FlatList to roll.
And thirdly, adding a gesture PanGesture, calculating the sliding direction of the finger when the finger slides the screen, and calculating the page subscript of forward sliding or backward sliding according to the current page index subscript.
And fourthly, calculating the speed of the picture to slide by combining a linear function according to the speed of the finger sliding, and adjusting the scrolling speed of the FlatList.
When the finger slides, the automatic sliding timer is suspended, and the response follows the finger to slide.
And sixthly, restarting the automatic sliding timer after the sliding of the wheel is finished, and continuing to automatically slide and play the picture.
(2) Order placing module
And the ordering module enters an ordering operation interface.
After receiving a trigger event, the ordering module directly opens an ordering page based on the React Native component, and orders are directly ordered as required in a user login state; and when the user is not logged in, ordering according to the requirement after the login is finished. And the user experiences and learns the ordering process.
(3) Simulation interaction order grabbing module
And the simulation interaction order grabbing module is used for simulating a dispatcher to grab orders to obtain distributed orders. After receiving the trigger event, the simulation interaction order grabbing module displays order grabbing rooms in different areas in the login state of the authentication courier, and the authentication courier selects to enter the order grabbing room for order grabbing to obtain a distribution order;
and the simulation interactive order grabbing module records the delivery order obtained by the authenticated courier, sends the delivery order to the order management platform and updates the delivery order of the courier.
The simulation interaction order grabbing module is used for enabling express delivery to be familiar with an order grabbing process and practicing order grabbing operation through simulation learning.
In one embodiment, the simulation interaction order grabbing module comprises a simulation task acquisition unit, an authentication unit, a room forming unit, a task distribution unit and a remote sending unit.
And the simulation task obtaining unit obtains the order to be distributed by the order management platform every period T. The period T may be, for example, 5 minutes, 10 minutes, or the like.
And the simulation room forming unit forms a plurality of order grabbing rooms in different areas according to the starting point or the end point of the order to be distributed.
The simulation authentication unit authenticates the identity of the courier, and the courier after passing the authentication is allowed to enter the order grabbing room. The registered courier of the company is required to perform order grabbing. The courier can select the modes of nail account login, WeChat account login, mobile phone login and the like to directly authenticate. After the identity of the courier is confirmed, when order tasks are sent remotely subsequently, information of the courier is directly written in to complete order distribution.
The simulation task allocation unit randomly allocates tasks in each order grabbing room to couriers entering the order grabbing rooms; and after receiving confirmation information of the courier within the specified time, completing the allocation of the order, and if the confirmation information of the courier is not received within the specified time, the type of the courier is not matched with the type of the order or the order rejection information of the courier is received, randomly allocating the order again. The courier type needs to meet the requirement of the order type, such as a fresh type order, the courier has fresh delivery capability, and if the courier does not have the fresh delivery capability, the courier type is redistributed.
And the simulation remote sending unit is used for sending the distributed orders and the corresponding courier information to the order management platform.
The simulation room forming unit forms each order-grabbing room into a container. The number of units to be allocated to the container is calculated based on the number of persons entering the container and the total number of units. The total value of the single amount of the container is less than or equal to the number of couriers. And allocating tasks according to the response speed of the couriers, wherein the couriers without snatching enter a second container, and the tasks are allocated again, wherein the single-amount allocation of the container can carry out the allocation tasks according to the comprehensive consideration of the response speed of the couriers and the number of times of snatching participation of the couriers, and the like. And finally, the couriers can obtain the distributed tasks according to the rooms and response speed of the couriers, but each courier is guaranteed to be distributed to at least one single task according to the number of times of participation of the superimposed order.
The simulation room forming unit is used for sequencing couriers according to the time of entering the order grabbing room; randomly selecting orders according to the sequence and distributing the orders to couriers; and closes the order room after the order allocation is completed. The courier automatically exits the room.
Another possible simulation order grabbing mode is that in each order grabbing room, all orders to be allocated in the order grabbing room are listed, and the courier clicks the order grabbing and allocates the order to the courier with the first order grabbing.
(4) Order query module
And the order query module is used for directly searching a task list interface. The latest order information is obtained through the order management platform, the order list is displayed according to different states of the order, and specific order details can be checked. The user is enabled to experience and learn the whole process of order state change.
(5) Learning module
The learning module is used for providing learned videos and electronic books. The electronic book learning system comprises a video learning unit and an electronic book learning unit.
After receiving a trigger event, the video learning unit is linked to a video learning webpage based on a read-Native-Webview component, a progress display progress bar is loaded through a Hook component, and loaded video information is output after being forcibly rendered through an H5 component; after receiving the trigger event, the electronic book learning unit is linked to an electronic book learning webpage based on a read-Native-Webview component, a progress display progress bar is loaded through a Hook component, and loaded electronic book content is output after being forcibly rendered through an H5 component.
The H5 interface is loaded on the video and the book, and the used component read-Native-Webview improves the loading speed, optimizes the memory occupied by the loaded page, ensures the loading smoothness to a great extent and avoids the loading jam. In order to display the loading progress in real time and simultaneously not cause interface jamming:
firstly, acquiring the current loading progress through onLoadprogress callback of Webview.
Secondly, the user is matched with the UsState for enabling a user to perceive the loading progress or state of a page, progress (0-100) can clearly reflect the loading state of the page or some components, so that the anxiety of the user during waiting can be obviously reduced, the user can clearly control the waiting time, and the user has better experience, thereby achieving better interaction experience.
And thirdly, adding a component ant-design/react-native/progress to realize a page progress bar. When the value of progress is less than 100, the component can display the page loading progress, and when the value of progress is equal to 100, the page loading is finished, the component is not displayed, so that components which do not influence the visual focus of a user unnecessarily are reduced.
Updating the percentage attribute value of the progress of the component progress is calculated by state progress and can be associated with the percentage of the progress of the updated progress.
When onLoadprogress of the webview is called back, refreshing the progress value stored in the state, automatically associating and updating the percentage of progress of the progress, and automatically triggering the display progress of the rendering component.
The loading progress of real-time dynamic rendering is achieved, rendering elements are reduced, and the rendering speed is improved to the maximum extent. The interface rendering efficiency is increased, and the interface rendering memory overhead is reduced. UI of the iOS platform and the Android platform are unified better.
Including video lesson classification: culture/U-Fun, novice/growth, job site/skill, experience/case, agility/efficiency, cafe/factory, management/efficiency, skill/innovation, autonomy/indulgence. E-book course classification: management/ability, efficiency/tools, technology/big data, improvement of employee enterprise culture acceptance, improvement of employee technical level and clearer planning of technical routes. The module is integrated at present, supports the online watching of the mobile phone and is convenient for the staff to learn and progress anytime and anywhere.
At present, a plurality of main modules are integrated into the system, so that a user can experience the current company business quickly and conveniently in an integrated manner, a plurality of apps are integrated, the operation of the user is reduced, the user can learn and use quickly, and the user can experience corresponding services deeply according to the needs of the user.
The platform of the invention adopts a cross-platform technology read Native to realize two platform interfaces of iOS and Android, and is matched with H5 technology, thereby efficiently and quickly developing projects.
Wherein the project structure is as follows: the method has the advantages that a project structure is built by using a real Native, three-side libraries used by the whole project pagenavigation @ real-navigation/Native and @ real-navigation/stack can use interface navigation Route related technology, interface switching is smoother, and navigation bars are set more perfectly.
To address the wide variety of seemingly unrelated problems encountered when writing and maintaining components, but with significant potential, Hook technology was introduced. Multiplexing state logic between various components prior to introduction is difficult and can significantly disrupt code integrity. The state logic can now be extracted from the component using Hook so that these logics can be tested separately and multiplexed. Hook enables you to multiplex state logic without having to modify the component structure. This makes sharing of Hook between components or within a community more convenient. And complex components can be implemented well, splitting interrelated parts in the components into smaller functions, rather than forcing the division according to the life cycle. The use state is used for realizing interface state management in the interface construction, and the use effect realizes the life cycle maintenance of the interface and the refreshing and rendering of the interface. The efficiency of interface refreshing and rendering is improved, the memory space occupied by interface refreshing is effectively reduced, and the user experience is improved.
In conclusion, the autonomous learning integrated platform for same-city delivery, provided by the invention, comprises a human-computer interaction module, an order placing module, a simulation interaction order grabbing module and an order query module; the human-computer interaction module is used for displaying the operation interface and receiving the operation event; the ordering module enters an ordering operation interface; the simulation interaction order grabbing module is used for simulating a dispatcher to grab an order to obtain an allocated order; and the order query module is used for entering a task list interface. According to the invention, through an integrated platform, the learning services of message sharing, order grabbing, order inquiry and order placing can be realized, the resource integration is carried out, and the convenience of learning and simulation operation of a user is improved.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.

Claims (9)

1. An autonomous learning integrated platform for distribution in the same city is characterized by comprising a human-computer interaction module, an order placing module, an order inquiry module and a simulation interaction order grabbing module;
the human-computer interaction module is used for displaying an operation interface and receiving an operation event;
the ordering module is used for entering an ordering operation interface, ordering according to needs, experiencing and learning an ordering process;
the order query module is used for entering an order list interface, checking orders in various states and experiencing and learning the whole process of order state change;
and the simulation interactive order grabbing module is used for simulating the order grabbing of the deliverer, obtaining the distributed order and experiencing and learning the order grabbing process.
2. The same-city distribution and autonomous learning integrated platform as claimed in claim 1, wherein the human-computer interaction module forms an architecture based on the fact Native, displays an operation interface in a sidebar manner, displays message pictures using a FlatList component in a horizontal layout manner, and receives an operation event to trigger a corresponding event.
3. The same-city delivery and autonomous learning integrated platform according to claim 1 or 2, wherein after the ordering module receives a trigger event, a user ordering interface is directly opened based on a read Native WebView component, and ordering can be directly performed as required in a user login state; when the user is not logged in, if the order is required to be placed, the account needs to be logged in first.
4. The integrated platform for autonomous learning in same city delivery according to claim 1 or 2, wherein after the order query module receives the trigger event, the order query module displays the order list in different states in a user login state, so that details of each order can be viewed.
5. The same-city delivery and autonomous learning integrated platform according to claim 1 or 2, wherein the simulation interaction order grabbing module comprises a simulation task acquisition unit, an authentication unit, a room forming unit and a task distribution unit;
the simulation task obtaining unit obtains the order to be distributed by the order management platform every period T;
the simulation room forming unit is used for forming a plurality of order grabbing rooms in different areas according to the starting point or the end point of the order to be distributed;
the simulation authentication unit authenticates the identity of the courier, and the courier after passing the authentication is allowed to enter the order grabbing room;
the simulation task allocation unit randomly allocates tasks in each order grabbing room to couriers entering the order grabbing rooms; and after receiving confirmation information of the courier within the specified time, completing the allocation of the order, and if the confirmation information of the courier is not received within the specified time, the type of the courier is not matched with the type of the order or the order rejection information of the courier is received, randomly allocating the order again.
6. The integrated platform for city distribution and autonomous learning of claim 5, wherein the simulation room forming unit forms each order room into a container.
7. The integrated platform for autonomous learning during co-city delivery according to claim 5, wherein the total value of the single container amount is less than or equal to the number of couriers; and distributing the tasks according to the response speed of the couriers and the number of the idle participation times, and entering the next container to redistribute the tasks if the couriers do not enter the next container.
8. The integrated platform for autonomous learning distributed in the same city as claimed in claim 1 or 2, further comprising a learning module, wherein the learning module comprises a video learning unit and an electronic book learning unit; after receiving a trigger event, the video learning unit is linked to a video learning webpage based on a read-Native-Webview component, acquires the current loading progress through onLoadprogress callback of Webview, refreshes the progress value stored in the state, automatically associates and updates the progress percentage of the progress of the page progress bar, and automatically triggers the display progress of the progress bar of the rendering component page progress; the component ant-design/act-native/progress realizes a page progress bar, and loaded video information is output after being forcibly rendered through an H5 component;
after receiving a trigger event, the e-book learning unit is linked to an e-book learning webpage based on a read-Native-Webview component, acquires the current loading progress through onLoadprogress callback of Webview, refreshes the progress value stored in the state, automatically associates and updates the progress percentage of the progress bar progress of the page, and automatically triggers the display progress of the progress bar progress of the rendering component page; and the anti-design/reactive-native/progress component realizes a page progress bar, and the loaded video information is output after being forcibly rendered through the H5 component.
9. The integrated platform for city delivery and autonomous learning according to claim 1 or 2, further comprising a message display module for receiving the uploaded message content and displaying the message content after the verification is passed;
the message display module comprises a receiving unit, an auditing unit and a publishing unit, wherein the receiving unit receives the uploading information of the login user; the auditing unit sends the uploading information of the login user to an auditor for auditing, and the issuing unit issues the message display column after the auditing is passed; and the human-computer interaction module triggers the display and uploading operation of the message display bar after receiving the message display operation event.
CN202111037871.7A 2021-09-06 2021-09-06 Autonomous learning integrated platform for distribution in same city Pending CN113743870A (en)

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Publication number Priority date Publication date Assignee Title
CN105389639A (en) * 2015-12-15 2016-03-09 上海汽车集团股份有限公司 Logistics transportation route planning method, device and system based on machine learning
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