Intelligent student school sending system and method based on intention recognition and home-school linkage

Abstract

The invention discloses an intelligent student school sending system and method based on intention recognition and home-school linkage. A session interface is provided on a client of a parent, input of the parent is received, session information is generated, and an intelligent recognition end recognizes whether the session information contains a school sending intention of a student or not and extracts school sending parameters when the session information contains the school sending intention of the student. And the school sending management end generates and sends a control instruction to the campus execution equipment according to the school sending parameters, receives execution state information returned by the campus execution equipment, and pushes the execution state information to a session window of the parent client. According to the method and the system, parents can conveniently and quickly initiate the school sending request, the school sending safety problem caused by the fact that information interaction cannot be carried out between families and schools in time is solved, the schools can conveniently carry out personalized arrangement on school sending of the parents, and road congestion around the schools is relieved.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and specifically relates to an intelligent student school transportation system for primary and secondary schools, in particular an intelligent student school transportation system based on intention recognition and home-school linkage, and a corresponding method. Background Art

[0002] Currently, AI assistants are being applied in numerous fields, covering multiple industries and scenarios. Based on artificial intelligence technology, AI assistants possess capabilities such as autonomous learning, speech recognition, and natural language processing. They can interact with users through voice or text, helping them complete various tasks. One area of AI assistant development is personalizing services based on user habits and preferences, providing a more personalized experience.

[0003] For example, the process of sending students to school is a crucial aspect of campus safety. School trips typically occur at specific times, with large crowds and high traffic volumes. Although some schools have implemented parking management systems and intelligent student identification systems, making the process of student entry and parent parking more convenient, the lack of timely information exchange and communication between schools and parents means that, on the one hand, schools are unable to promptly learn about students' expected arrivals, and, on the other hand, parents are unable to promptly obtain information about the school's drop-off arrangements and whether their children have actually arrived. This leaves the student drop-off process relatively chaotic, potentially creating a vacuum in student safety oversight and posing potential safety risks.

[0004] Furthermore, existing parking management systems are unable to identify and manage vehicles transporting students to school. This results in a mix of vehicles carrying students to and from school, congesting roads and parking lots and hindering traffic near the school gates. Consequently, students eager to attend school are forced to get off their vehicles far from the school and walk to school, further exacerbating student safety concerns.

[0005] In addition, the existing school drop-off management system does not support parents to easily initiate school drop-off requests, and the school is unable to make personalized arrangements based on the parents' actual school drop-off needs, resulting in parents having a poor experience in the process of dropping off their children and being reluctant to use the school drop-off management system. Summary of the Invention

[0006] (1) Technical issues to be resolved

[0007] On one hand, the present invention aims to address the safety issues caused by the lack of timely information exchange between parents and schools during the student drop-off process. On the other hand, the present invention seeks to address the problem of parents being unable to quickly and easily initiate school drop-off requests, and the school being unable to tailor its arrangements to meet parents' needs. The present invention also addresses the issue of managing school drop-off vehicles, which can lead to congestion around campuses.

[0008] (2) Technical solution

[0009] In order to solve the above technical problems, the first aspect of the present invention proposes an intelligent student school delivery system based on intention recognition and home-school linkage, wherein: the parent client is used to provide a session interface that can be logged in by parents, receives parent input to generate session information, and then sends the session message to the intelligent recognition terminal; the intelligent recognition terminal is used to receive and identify whether the session information contains the student's intention to send to school, and when it contains the student's intention to send to school, extracts school delivery parameters from the session information, and sends the school delivery parameters to the school delivery management terminal; the school delivery management terminal is used to receive the school delivery parameters sent by the intelligent recognition terminal, generate and send control instructions to the campus execution device according to the school delivery parameters, receive execution status information returned by the campus execution device, and push the execution status information to the session window of the parent client; the campus execution device is used to execute operations according to the control instructions, and return the execution status information to the school delivery management terminal.

[0010] According to a preferred embodiment of the present invention, the school delivery parameters include student identification information; the campus execution device includes a gate device that can obtain student identification information, and when the gate device detects that a student corresponding to the student identification information enters the school through the gate, it returns information indicating that the student's entry into the school has been completed to the school delivery management end as the execution status information.

[0011] According to a preferred embodiment of the present invention, the gate device has a face acquisition and recognition function, and obtains the student identification information based on the result of face recognition; the gate device returns the acquired face image corresponding to the student identification information as part of the execution status information to the school delivery management end.

[0012] According to a preferred embodiment of the present invention, the school delivery parameters include school delivery vehicle information; the campus execution device includes a brake device that can obtain vehicle information, and when the brake device detects vehicle information that matches the school delivery parameters, it allows the vehicle to pass.

[0013] According to a preferred embodiment of the present invention, the school delivery parameters include student identification information and school delivery time information; the campus execution device includes a campus display device, and the campus display device displays the student's estimated arrival time information matching the student identification information and school delivery time information according to the control instructions of the school delivery management terminal when the student has not arrived at school.

[0014] According to a preferred embodiment of the present invention, the school delivery management terminal also obtains the student class information based on the student identification information, and instructs the campus display device associated with the student class information to display the student's estimated arrival time information.

[0015] According to a preferred embodiment of the present invention, the school delivery management end includes a message subscription module; the control instruction generated by the intelligent recognition end is used as a published message received by the message subscription module; the campus execution device submits a subscription request to the message subscription module, and receives the subscription message to obtain the control instruction.

[0016] According to a preferred embodiment of the present invention, the execution status information returned by the campus execution device to the school delivery management terminal also serves as a published message of the message subscription module, and the execution status information pushed by the campus management terminal to the parent client also serves as a subscription message pushed by the message subscription module. The parent client receives the subscription message from the message subscription module to obtain the execution status information.

[0017] According to a preferred embodiment of the present invention, the school delivery management terminal counts the distribution of the number of school delivery vehicles in each time period based on the school delivery intention and school delivery parameters, calculates the driving route of each school delivery vehicle, and calculates the optimal parking arrangement for each school delivery vehicle based on this, and publishes the optimal parking arrangement information to the message subscription module.

[0018] According to a preferred embodiment of the present invention, the parent client sends personalized school delivery requirements through the session window, the intelligent recognition end identifies the personalized school delivery requirements as school delivery parameters, and the school delivery management end calculates the personalized school delivery method based on the personalized school delivery parameters of the specific parent client and sends it to the parent client.

[0019] According to a preferred embodiment of the present invention, the personalized school drop-off requirement includes an optimal combination of school drop-off time, driving route and parking lot.

[0020] According to a preferred embodiment of the present invention, the parent client plans parking lots for vehicles sending children to school in real time based on the real-time parking information of different parking lots returned by the gate controller, and provides real-time parking suggestions to parents who drive their children to school.

[0021] Another aspect of the present invention proposes an intelligent student school sending method based on intention recognition and home-school linkage, including the following steps: receiving parental conversation information through a conversation window; identifying whether the conversation information contains the student school sending intention, and extracting school sending parameters from the conversation information if it contains the student school sending intention; sending control instructions to the campus execution device according to the school sending parameters, so that the campus execution device performs operations; receiving execution status information returned by the campus execution device, and pushing the execution status information to the conversation window.

[0022] According to a preferred embodiment of the present invention, the school delivery parameters include student identification information, vehicle information and / or school delivery time information, and the campus execution device is a gate device, a vehicle gate device and / or a campus display device; when the gate device detects that a student corresponding to the student identification information enters the school through the gate, it returns the information that the student's entry into the school has been completed as the execution status information; when the vehicle gate device detects vehicle information that matches the school delivery parameters, it allows the vehicle to pass; when the student has not arrived at school, the campus display device displays the student's estimated arrival time information that matches the student identification information and the school delivery time information.

[0023] (3) Beneficial effects

[0024] The present invention enables parents to quickly and easily initiate a request to send their children to school, thereby making up for the lack of communication between home and school during the school drop-off period. It also facilitates the school to make personalized arrangements for parents to send their children to school, improves the safety of students sending their children to school, and alleviates traffic congestion around the campus. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall architecture of the intelligent student transportation system based on intention recognition and home-school linkage of the present invention.

[0026] Figure 2 This is a flow chart of the intelligent student delivery method based on intention recognition and home-school linkage of the present invention.

[0027] Figure 3 This is a flow chart of the intelligent student delivery system based on intention recognition and home-school linkage of the present invention.

[0028] Figure 4 This is a scenario diagram of another embodiment of the intelligent student school transportation system based on intention recognition and home-school linkage of the present invention. DETAILED DESCRIPTION

[0029] As mentioned above, the present invention recognizes that the lack of timely information exchange between home and school during the student delivery process may cause safety issues. To address this issue, the present invention proposes an intelligent student delivery system based on intent recognition and home-school linkage. This system centrally manages the school's equipment for school admission management and exchanges information with parents' clients via the network, thereby achieving home-school linkage during the delivery process.

[0030] Furthermore, in order to solve the problem that parents cannot initiate school drop-off requests conveniently and quickly, and schools cannot make personalized arrangements based on parents' school drop-off needs, the present invention proposes to use a conversation window that is easy to interact with, and uses artificial intelligence technology to identify school drop-off needs, so that school drop-off management can be initiated and executed intelligently without the need for parents to perform complex click operations.

[0031] Figure 1 This is a schematic diagram of the overall architecture of the intelligent student delivery system based on intention recognition and home-school linkage of the present invention. Figure 1 As shown, the intelligent student delivery system of the present invention includes a parent client, an intelligent identification terminal, a school delivery management terminal, and a campus execution device. Among them, the campus execution device can be an existing device of the school or a specially equipped system, which is used to perform relevant operations during the student delivery process, such as student identity recognition, school delivery vehicle management and the display and broadcast of student arrival information, etc. The parent client can be a parent's handheld device, such as a mobile phone, tablet computer, etc. The parent client is used to provide a session interface that can be logged in by parents, receive parent input and generate session information.

[0032] The key configurations of the present invention are the intelligent recognition terminal and the school delivery management terminal, which can be implemented by any device capable of local computing, or by a distributed computing cloud service. Among them, the intelligent recognition terminal is used to receive the session information sent by the parent client, identify whether the session information contains the intention of sending students to school, and extract the school delivery parameters from the session information if it contains the intention of sending students to school. The school delivery management terminal generates and sends control instructions to the campus execution device based on the school delivery parameters, receives the execution status information returned by the campus execution device, and pushes the execution status information to the session window of the parent client.

[0033] The intelligent recognition end and the school delivery management end are functionally different, but whether it is hardware or software, they can be deployed in combination or separately, and they should all be regarded as implementation methods of the present invention. In a preferred embodiment of the present invention, the intelligent recognition end is implemented by the intelligent cloud service provided by the cloud server, while the school delivery management end is implemented by a centrally deployed management server, so that both cost and performance can be taken into account. In this case, the intelligent recognition end needs to send the school delivery parameters to the school delivery management end, and the school delivery management end receives the school delivery parameters sent by the intelligent recognition end. The interaction between the two can be achieved through a unified API interface.

[0034] As a preferred embodiment of the present invention, the campus execution device executes operations according to the control instructions and returns execution status information to the school delivery management terminal. The school delivery management terminal then sends control instructions to the campus execution device according to the school delivery parameters, receives the execution status information returned by the campus execution device, and pushes the execution status information to the session window of the parent client, so that parents can promptly understand the arrival status of their children after being dropped off at school.

[0035] In a preferred embodiment, the school delivery parameters include student identification information, vehicle information, and / or delivery time information, and the campus execution equipment includes gate equipment, vehicle gate equipment, and / or campus display equipment. Upon detecting that a student corresponding to the student identification information enters the school via the gate, the gate equipment returns information indicating that the student's entry has been completed as the execution status information. Upon detecting a vehicle matching the vehicle identification information, the vehicle gate equipment allows the vehicle to pass. Furthermore, if a student has not arrived at school, the campus display equipment displays the student's estimated arrival time matching the student identification information and delivery time information, allowing school teachers or administrators to promptly understand the student's delivery and arrival status.

[0036] Preferably, the gate device has a facial image acquisition and recognition function, and can obtain student identification information based on the facial recognition results, and return the acquired facial image corresponding to the student identification information as part of the execution status information to the school delivery management terminal. In this way, the school delivery management terminal can push the student's facial recognition image when entering the school to the parent client, and the parent can directly view the image of the student when entering the school on the parent client, thereby enhancing the parent's control and understanding of the student's entry status and further eliminating the student's safety risks.

[0037] In addition, as a preferred embodiment, the school delivery management terminal also obtains the student's class information based on the student identification information and instructs the campus display device associated with the student's class information to display the student's estimated arrival time. In this way, the student's arrival information can be displayed more accurately on a display device located in a specific location, such as a display device dedicated to a specific class, so that the student's responsible teacher (class teacher) can understand the expected arrival status of the class's students.

[0038] To achieve real-time message forwarding, the school delivery management terminal preferably transmits control instructions and execution status information through a message subscription model. In other words, the school delivery management terminal preferably includes a message subscription module. In this way, whether it is the parent client, the intelligent recognition terminal, the school delivery management terminal, or the campus execution device, they can publish messages through the message subscription module, register and receive subscription messages, and through the message publishing and subscription model, control instructions and execution status information can be circulated between various functional terminals.

[0039] As an implementation method, the intelligent recognition end sends the control instruction as a publishing message to the message subscription module of the school management end, and the campus execution device makes a subscription request to the message subscription module, receives the subscription message, and performs operations according to the subscription message.

[0040] Furthermore, the execution status information returned by the campus execution device to the school delivery management terminal also serves as a published message for the message subscription module, and the execution status information pushed by the campus management terminal to the parent client also serves as a subscription message pushed by the message subscription module. The parent client then submits a subscription request to the message subscription module and receives the subscription message.

[0041] Figure 2 This is a flow chart of the intelligent student delivery method based on intention recognition and home-school linkage of the present invention. Figure 2 As shown, the method of the present invention comprises the following steps:

[0042] S1. Receive parent's session information through the session window.

[0043] As previously mentioned, parents send conversation messages through a conversation window on their portable device, also known as a parent client. Specifically, an app or mini-program with AI assistant functionality can be installed on a mobile phone or tablet. Within the app or mini-program, the AI assistant can appear as an AI intelligent robot, and parents can send messages to the AI assistant to inform it of the tasks they need to handle. These conversation messages are then transmitted over the network to the remote AI service, which then receives feedback from the AI assistant.

[0044] As can be seen, the present invention uses a conversational window based on the AI assistant to understand the user's needs, freeing the user from having to navigate through layers of menus and repeated taps on their phone to select the items they want to handle. For parents who are rushing to send their children to school, these operations may be too complicated. Therefore, the present invention proposes using a chat-style conversational window to understand the user's intentions.

[0045] S2. Identify whether the session information contains the intention of sending the student to school, and extract the school sending parameters from the session information if the intention of sending the student to school is contained.

[0046] In this step, among the various intentions of parents reflected in the conversation message, the intention to send students to school is identified, and the next step is performed. Specifically, as an example, the AI assistant transmits the conversation message to a remote AI service, which extracts the intention in the conversation message and extracts the school sending parameters from the conversation message when it contains the intention to send students to school. The school sending parameters refer to various types of information related to sending students to school, including student identity information, school sending time, parent information, transportation method, license plate number (if driving to school), etc.

[0047] S3. Send a control instruction to the campus execution device according to the parameters sent to school, so that the campus execution device performs the operation.

[0048] This step involves intelligent execution after the intention of sending the student to school is detected. As mentioned above, the specific execution is performed by the campus execution device, and the campus execution device needs to be managed in a unified manner, such as sending control instructions from the school delivery management terminal.

[0049] S4. Receive the execution status information returned by the campus execution device, and push the execution status information to the session window.

[0050] This step mainly receives the execution status information returned by each campus execution device, such as student gate information. The campus execution device also pushes the execution status information to the session window so that parents can understand the real-time student arrival information.

[0051] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0052] Figure 3 This is a scene diagram of an embodiment of the intelligent student delivery system based on intention recognition and home-school linkage of the present invention. Figure 3 As shown, the system of this embodiment includes a mobile phone 10, an AI cloud server 20, a school delivery management server 30, a gate control device 41, a vehicle gate control device 42 and a display device 43.

[0053] In this embodiment, the gates, vehicle gates, and display devices can be existing equipment at a school. The present invention can fully utilize existing equipment to reduce system deployment costs. Specifically, the internal controllers of the gate control device 41, vehicle gate control device 42, and display device can be modified or upgraded to establish a communication connection with the school delivery management server 30 of the present invention system, thereby receiving control commands and transmitting execution status information. In other embodiments, separate controllers can be added to the existing gates, vehicle gates, and display devices.

[0054] In this embodiment, the AI cloud server 20 and the school delivery management server 30 are additional services or devices when deploying the system of the present invention. In other feasible embodiments, the present invention can also utilize the school's existing servers by deploying the AI model and school delivery management service software on the existing servers.

[0055] Moreover, the present invention is not limited to this. The AI cloud server 20 and the school delivery management server 30 can also be deployed in a more flexible manner. For example, a third-party AI cloud service can be used as the AI cloud server 20, and the school delivery management server 30 can be deployed locally at the school or on a third-party platform. It is only necessary to ensure that the school delivery management server 30 and the school execution device can be connected in communication. The communication connection can be either wired or wireless.

[0056] The mobile phone 10 of this embodiment can be any mobile phone with conversation processing capabilities, such as a parent's ordinary smartphone with an app or mini-program installed to implement the relevant functions of the present invention. Of course, the mobile phone 10 can also be implemented by other devices, preferably portable devices, such as tablet computers, smart watches, smart glasses, and other wearable devices.

[0057] The following describes the system and method of the present invention through several specific examples.

[0058] In one example, through the unified arrangement of the school, the parent Mr. Zhang has pre-installed an AI assistant related to school affairs on his mobile phone. The AI assistant is an AI robot in the APP that is compatible with the system of the present invention. Mr. Zhang also registered the relevant information of his child through the APP, such as student information, family information, and information related to school delivery. Student information includes student ID, student name, grade, class, etc. Family information includes parent name, home address, pick-up vehicle information, etc. School delivery related information includes pick-up parent information, school delivery method, school delivery time, etc. It should be noted that the system of the present invention allows multiple clients to register and access, that is, for a student, multiple parents can register multiple accounts, or any of multiple portable devices can log in to any of the registered accounts. The registered accounts of each client can share the same student information, family information, and school delivery information.

[0059] When Mr. Zhang is about to take his child to school, he opens the app on his phone and sends a voice message to the AI assistant: "I'll drive Xiaoyu to school at 8:00 tomorrow morning." The AI assistant can reply: "Okay, got it. I'll remind you then." The conversation ends.

[0060] Alternatively, the AI assistant might reply, "Tomorrow is Monday, and there's likely to be traffic in the morning. We recommend leaving earlier. Would you like to change your school drop-off time to 7:50?" Mr. Zhang then responds, "Thank you for the reminder. I'll change the school drop-off time to 7:50. Please remind me tomorrow." The AI assistant responds, "Okay, 7:50 has been confirmed. I'll remind you." The conversation ends.

[0061] Both possible conversations generate session information, which includes not only the information entered by the parent but also the information generated by the AI assistant during communication with the parent. This shows that the AI assistant's interactive messages help confirm the event, which will facilitate the subsequent accurate identification of the parent's intentions.

[0062] Next, the intent recognition model in the AI cloud server of the system of the present invention uses NLP and other technologies to identify that the above conversation information contains the student's intention to send the student to school. Then, the parameter recognition model of the AI cloud server extracts the school sending parameters. For example, the school sending parameters include:

[0063] Student identification information: Student ID number XS20230521

[0064] School drop-off time: 07:50 the next day

[0065] Parent sending the child to school: Mr. Zhang

[0066] School delivery method: driving

[0067] The school transportation parameters are sent to the school transportation management server 30, which stores basic student data. This basic data can be information submitted by parents when registering the AI assistant app or obtained through other means. The school transportation management server 30 obtains the student's home address from this basic data, converts it into geographic coordinates, and calls a geographic information service to obtain the distance between the home geographic address and the school's geographic coordinates, as well as the travel time by different modes of transportation. Finally, based on the school start times configured for different grades in the basic data, the server automatically recommends departure times for different modes of transportation and returns a message.

[0068] In this example, since Mr. Zhang has specified his vehicle as his transportation method in the conversation message, the school transportation management server 30 retrieves the student's license plate number (for example, license plate number Yue A12345) from the basic data. Using the message subscription module, the school transportation management server 30 issues a control instruction to the campus execution device, including the vehicle's temporary vehicle authorization (including estimated arrival time and license plate information) to the school parking lot's gate device.

[0069] At 07:40 the next day, the AI assistant uses the phone's alarm to remind Mr. Zhang of his departure time. It also uses the phone's geolocation service to obtain the phone's geolocation information and sends it to the school drop-off management server 30. Based on the geolocation information, the school drop-off management server 30 determines whether Mr. Zhang has also departed. If so, it uses the geolocation service to calculate the estimated arrival time of Mr. Zhang's vehicle at predetermined intervals (e.g., 30 seconds).

[0070] Because display device 43 has subscribed to the student's estimated arrival time information from the message subscription module of school delivery management server 30 (e.g., a message subscription service module that supports the MQTT protocol), once school delivery management server 30 generates each student's estimated arrival time, it sends it to display device 43. Display device 43, for example, is a display screen located at the entrance of Xiaoyu's class, which scrolls to display the estimated arrival times of different students, including Mr. Zhang's child, Xiaoyu.

[0071] At 08:00, Mr. Zhang drove vehicle Guangdong A12345 to the school parking lot. Since the gate had been temporarily opened for entry during that time, the vehicle was allowed to pass directly. Xiaoyu got off the car at 08:02, and Mr. Zhang left the parking lot. Xiaoyu entered the school through the gate at 08:05. The gate camera captured Xiaoyu's facial features and compared them with the student record XS20230521 in the student database, with a 98.7% match. The gate executed:

[0072] ①Open the green channel and announce "Good morning, Xiaoyu"

[0073] ②Send the execution status to the / status / xs20230521 topic via the MQTT protocol:

[0074] {

[0075] "student_id":"XS20230521",

[0076] "entry_time":"2023-09-20T07:56:12",

[0077] "face_image": "Base64-encoded captured image"

[0078] }

[0079] The school delivery management server 30 pushes the above status information to the parent client according to the MQTT protocol, and the conversation window of Mr. Zhang's AI assistant displays in real time:

[0080] [System Message] Your child entered the school through the South Gate at 08:05 (with facial recognition comparison image attached)

[0081] At the same time, display device 43 obtains Xiaoyu's entry status by subscribing to the message. The display screen updates to show: "Xiaoyu is expected to arrive at the classroom before 08:07." Thus, the entire school delivery process ends.

[0082] As can be seen from the above examples, parents can quickly and easily initiate a request to send their children to school through the conversation window on their mobile phones without having to go through layers of menu selections, which improves the user experience. At the same time, through the linkage of devices between home and school, it solves the problem of school transportation safety caused by the inability to exchange information between home and school in a timely manner.

[0083] The following is another example to illustrate that the present invention also facilitates schools to make personalized arrangements for parents to send their children to school, thereby alleviating congestion problems around the campus.

[0084] Figure 4 This is a scene diagram of another embodiment of the intelligent student delivery system based on intention recognition and home-school linkage of the present invention. Figure 4 As shown, in this embodiment, the school has two temporary parking lots, namely the west parking lot and the east parking lot. The two parking lots are respectively equipped with gates and are controlled by a first gate controller 421 and a second gate controller 422 respectively.

[0085] When the intelligent student sending system of the present invention is not adopted, vehicles sending students to school will often go to the West District Parking Lot and the East District Parking Lot randomly. Since the gate machine identifies and controls whether the vehicle is a student sending vehicle, the parking lot is easily full, and the vehicles sending students to school cannot be effectively diverted between the two parking lots. This will cause congestion on the roads around the campus, further affecting the entry of vehicles sending students to school.

[0086] When the intelligent student drop-off system of the present invention is implemented, the drop-off management terminal 30 acquires the drop-off intention and parameters through the intelligent recognition terminal 20 before the peak drop-off period arrives. This allows the management terminal 30 to determine the distribution of drop-off vehicles at different time periods on a given day, as well as the routes taken by each vehicle. This allows the management terminal 30 to pre-arrange parking arrangements for drop-off vehicles before the peak arrives, ensuring optimal access to parking lots and alleviating traffic congestion.

[0087] A preferred implementation of this embodiment is that when the school delivery management terminal 30 determines that the number of school delivery vehicles in a certain period is too concentrated, which may cause congestion in parking lots and roads, the parent client sends a school delivery congestion warning message and a suggestion to change the school delivery method to the parents with the latest school delivery needs. For example, due to weather changes (such as rainy and snowy weather), the school delivery management terminal 30 has determined at 8 o'clock in the evening of Tuesday based on the school delivery intention and school delivery parameters that there will be more than the usual number of school delivery vehicles between 8:00 and 8:10 on Wednesday morning, for example, more than 200. At this time, the school delivery management terminal 30 publishes school delivery warning messages and school delivery suggestions to the message subscription module, and some or all of the parent clients with the intention of sending to school receive warning messages and / or school delivery suggestions through the subscription messages of the AI assistant. The warning message is, for example:

[0088] "Hello, Mr. Zhang. According to the latest information, due to weather conditions, there will be a lot of cars driving to school tomorrow. We recommend that you leave early or find another way to get to school. Would you like to change your drop-off time tomorrow, or find another way to get Xiaoyu to school?"

[0089] After receiving a message from the AI assistant, parent Mr. Zhang might inform the AI assistant of his new school drop-off schedule. The AI assistant sends the new conversation message to the intelligent recognition terminal 20, which then re-identifies the school drop-off intention and parameters based on the conversation message. If the intention is confirmed, the intelligent recognition terminal 20 updates the parameters to the school drop-off management terminal 30. Based on this information, the school drop-off management terminal 30 updates the number of school drop-off intentions and the distribution of drop-off vehicles by time period.

[0090] Furthermore, as a more preferred embodiment, after receiving the warning message and / or school sending suggestion, parents can further learn about the best way to send their children to school through the system of the present invention.

[0091] For example, after receiving the warning information, Mr. Zhang may reply:

[0092] "Thanks for the reminder. Because it's going to rain so hard tomorrow morning, I might still have to drive Xiaoyu to school. So what time should I leave, which route should I take, and which parking lot would be best?"

[0093] After the AI assistant sends the conversation message to the intelligent recognition terminal 20, the intelligent recognition terminal 20 can re-identify the intention to send students to school and the parameters for sending students to school based on the conversation message, and obtain the parameters for sending students to school again when it is recognized that there is still an intention to send students to school in the conversation message. At this time, the parameters for sending students to school, in addition to the information on the method of sending students to school, still indicate that they will drive to school, also include information indicating a request for driving routes and parking lot recommendations. After receiving the above parameters for sending students to school, the school sending management server 30 obtains the student’s home address from the basic data, converts it into geographic coordinates, and calls the geographic information service to obtain the time taken between the home geographic coordinates and the school geographic coordinates in different time periods and different driving paths, and combines the historical data of the parking lot entry time and the parking vehicle data to calculate the total time taken to enter the east and west parking lots in different time periods and different paths, and obtains the combination of the time period, driving path and parking lot with the minimum time, and returns the information to the conversation window of the parent client. For example, the AI assistant replies:

[0094] "According to the information we have at the time, tomorrow morning, you will depart at 7:45, via Renmin Middle Road and Fuzhong South Road to the school's west parking lot. This will take about 12.5 minutes, which is the fastest way to get to school by car. Please confirm whether you would like to be taken to school this way. If so, I will provide you with parking privileges in the west parking lot from 7:50 to 8:25 tomorrow morning."

[0095] After receiving the message, Mr. Zhang can have a conversation to confirm the school delivery method, or have other further conversations.

[0096] Furthermore, the system of the present invention can also plan parking lots for vehicles driving to school in real time based on real-time parking information of different parking lots, and provide real-time parking suggestions to parents who drive their children to school.

[0097] For example, Mr. Zhang left at 7:45 am on Wednesday to send Xiaoyu to school. At 7:50 am, the first gate controller 421 of the school's west parking lot detected that there were only two parking spaces left. At this time, the first gate controller 421 sent a message to the school delivery management terminal 30 according to the pre-set program that the parking spaces will be full. The school delivery management terminal 30 obtains in real time the school delivery vehicles heading to the west parking lot during the current period, and sends a parking lot full warning message to the parent clients of these school delivery vehicles. For example, the AI assistant will automatically broadcast the following warning message in language:

[0098] "Hello, Mr. Zhang! We are very sorry to inform you that according to the latest information from the school parking lot, the West Parking Lot will be full in two minutes and will no longer be available. Please change your route and enter from the East Parking Lot. Thank you for your cooperation!"

[0099] After receiving the above information, Mr. Zhang may reply: "Okay, then please help me re-plan the best route to the East District parking lot."

[0100] At this time, the AI assistant calls the geographic location information service, obtains the current location information, calculates the best route to the East District parking lot, and reports the route to Mr. Zhang.

[0101] Through the above implementation methods, the intelligent student school delivery system of the present invention can not only plan and suggest delivery methods for all vehicles intending to deliver students to school before the peak of school delivery arrives, but also customize and suggest the best delivery method based on the specific needs of parents, and guide school delivery vehicles to enter specific parking lots by updating parking lot information in real time, thereby solving the congestion in parking lots and surrounding roads caused by disorderly entry, disorderly driving and disorderly parking of school delivery vehicles.

[0102] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent student delivery system based on intention recognition and home-school linkage, characterized by: The system includes a parent client, an intelligent identification terminal, a school delivery management terminal, and campus execution equipment, among which: The parent client is used to provide a session interface that can be logged in by the parent, receive the parent's input to generate session information, and send the session information to the intelligent recognition end; The intelligent recognition terminal is used to receive and identify whether the session information contains the student's intention to send the student to school, and if it contains the student's intention to send the student to school, extract the school sending parameters from the session information, and send the school sending parameters to the school sending management terminal; The school delivery management terminal is used to receive the school delivery parameters sent by the intelligent recognition terminal, generate and send control instructions to the campus execution device according to the school delivery parameters, receive execution status information returned by the campus execution device, and push the execution status information to the session window of the parent client; The campus execution device is used to execute operations according to the control instructions and return execution status information to the school delivery management terminal.

2. The intelligent student delivery system based on intention recognition and home-school linkage as claimed in claim 1 is characterized in that: The school sending parameters include student identification information; The campus execution device includes a gate device that can detect student identification information when a student passes through. When the gate device detects the student identification information, it sends execution status information indicating that the student has completed entering the school to the school delivery management terminal.

3. The intelligent student transportation system based on intention recognition and home-school linkage as claimed in claim 2, characterized in that: The gate device has the functions of facial image acquisition and facial recognition, and obtains the student identification information according to the result of facial recognition; The gate device also sends the acquired facial image corresponding to the student identification information as execution status information to the school delivery management terminal.

4. The intelligent student delivery system based on intention recognition and home-school linkage as claimed in claim 1 is characterized in that: The school delivery parameters include school delivery method information. When the school delivery method information indicates driving to school, the school delivery parameters also include school delivery vehicle identification information. The control instruction includes an instruction to allow a vehicle matching the vehicle identification information to pass; The campus execution device includes a brake device that can obtain vehicle identification information. When the brake device detects a vehicle that matches the vehicle identification information in the control instruction, the vehicle is allowed to pass.

5. The intelligent student delivery system based on intention recognition and home-school linkage as claimed in claim 1 is characterized in that: The school delivery parameters include student identification information and school delivery time information; The campus execution device includes a campus display device, which displays the student's estimated arrival time information that matches the student identification information and the school delivery time information according to the control instruction of the school delivery management terminal when the student has not arrived at school.

6. The intelligent student delivery system based on intention recognition and home-school linkage as claimed in claim 5 is characterized in that: The school delivery management terminal also obtains the student's class information based on the student identification information, and instructs the campus display device associated with the student's class information to display the student's estimated arrival time information.

7. The intelligent student transportation system based on intention recognition and home-school linkage as claimed in claim 1 is characterized in that: The school delivery management terminal includes a message subscription module; The control instruction generated by the intelligent recognition terminal is used as a publishing message received by the message subscription module; The campus execution device submits a subscription request to the message subscription module, and receives the subscription message to obtain the control instruction.

8. The intelligent student delivery system based on intention recognition and home-school linkage as claimed in claim 7 is characterized in that: The execution status information returned by the campus execution device to the school delivery management terminal is also used as a published message of the message subscription module, and the execution status information pushed by the campus management terminal to the parent client is also used as a subscription message pushed by the message subscription module; The parent client receives a subscription message from the message subscription module to obtain the execution status information.

9. An intelligent student school transportation method based on intention recognition and home-school linkage, characterized in that: The steps include: Receive parent's session information through the session window; Identifying whether the session information contains an intention to send the student to school, and extracting school sending parameters from the session information if the intention is contained; Sending a control instruction to a campus execution device according to the sending parameters to the school, so that the campus execution device performs an operation; Receive the execution status information returned by the campus execution device, and push the execution status information to the session window.

10. The intelligent student school transportation method based on intention recognition and home-school linkage according to claim 9 is characterized by: The school delivery parameters include student identification information, vehicle identification information and / or school delivery time information, and the campus execution device is a gate device, a vehicle gate device and / or a campus display device; When the gate device detects that the student corresponding to the student identification information enters the school through the gate device, it returns the information that the student has completed entering the school as the execution status information; The vehicle brake device allows the vehicle to pass when detecting a vehicle matching the vehicle identification information; When a student has not arrived at school, the campus display device displays the student's estimated arrival time information that matches the student identification information and the school delivery time information.

Images