Airport lost and found method, device and system

Abstract

The invention provides an airport lost article finding method, device and system, a user uploads lost article image information to a lost article finding system by using a terminal device, and the user is an airport worker or a person picking up the lost article; based on the positioning information of the terminal device and the image information, the lost and found system determines a target owner feature through a preset space-time range; the target loser features are matched with a preset airport knowledge graph, effective contact information of the target loser is determined, and the airport knowledge graph is an airport character network constructed by at least a security check system, a departure system, a self-service check-in system and a lost and found system based on an airport; and sending lost and found information to the owner based on the effective contact way of the target owner, thereby improving the automation degree of lost and found, reducing the manual intervention operation, and improving the processing efficiency and the reliability of lost and found.

Description

Technical Field

[0001] This article belongs to the field of computer technology, specifically relating to an airport lost and found method, device and system. Background Technology

[0002] Currently, major airports, high-speed rail stations, and airlines across China offer lost and found services through their official websites or WeChat mini-programs. These services include 24 / 7 customer service via hotline and WeChat mini-program for reporting lost items, submitting supporting documents / authorizations online, and scheduling pickup appointments. Airport lost and found counters also provide access to these services for inquiry, reporting, and pickup. Furthermore, the system integrates QR code tags and RFID tags (NFC functionality) for the registration and management of items entering and leaving the warehouse.

[0003] The aforementioned lost and found process relies on the owner proactively making a request, with airport on-site service departments passively accepting and processing it. It also requires passengers to provide extensive supporting documentation, which must be verified before the lost item can be legally retrieved. While this process can mitigate fraudulent claims to some extent, there is significant room for improvement in customer satisfaction and process efficiency.

[0004] Of course, there are also third-party online lost and found platforms where owners post information about lost items and offer rewards for their recovery. This method is not suitable for places where only specific personnel have access (such as restricted areas at airports, inside airplane cabins, and other public places).

[0005] Therefore, there is an urgent need for a technological solution that can proactively contact the owner to return lost items. Summary of the Invention

[0006] In view of the above-mentioned problems in the prior art, the purpose of this paper is to provide an airport lost and found method, device and system to improve the efficiency of lost and found.

[0007] To solve the above-mentioned technical problems, the specific technical solution presented in this paper is as follows: On the one hand, this article provides a method for airport lost and found, the method including: Users upload images of lost items to the lost and found system using terminal devices. The users are either airport staff or people who pick up the lost items. Based on the location information and image information of the terminal device, the lost and found system determines the characteristics of the target owner within a preset time and space range; The characteristics of the target owner are matched with a preset airport knowledge graph to determine the effective contact information of the target owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. Based on the target owner's valid contact information, a lost and found message is sent to the owner.

[0008] Furthermore, based on the location information of the terminal device and the image information, the lost and found system determines the characteristics of the target owner within a preset spatiotemporal range, including: Based on the image information, the type and characteristic information of the lost item are determined, and the characteristic information includes at least the color, current shape, and usage status of the lost item by the owner; Using the location information of the terminal device as the search location center and the time of the lost and found upload system as the nearest point of the search time, the search time and space range are determined within a preset search range and a preset search time length. Within the search time and space range, the type and feature information of the lost item are used as the retrieval target, and similarity matching is performed with each person within the search time and space range. A preset number of people with the highest similarity ranking are selected as candidate owners. Multiple candidate lost owner features are subjected to secondary feature screening to determine the features of the target lost owner.

[0009] Furthermore, a secondary feature screening is performed on multiple candidate lost owner features to determine the features of the target lost owner, including: For each candidate owner's characteristics, obtain the second candidate owner's characteristics after a specified time period; Determine the difference features between the second candidate owner features and the candidate owner features; When the difference features match the feature information of the lost owner, the candidate lost owner features are determined as the target lost owner features.

[0010] Furthermore, a secondary feature screening is performed on multiple candidate lost owner features to determine the features of the target lost owner, including: Airport staff manually screened the data to identify the characteristics of the target owner from multiple candidate owners.

[0011] Furthermore, the airport knowledge graph is constructed in the following manner: Determine the user registration information in the security check system, departure system, self-service check-in system, and lost and found system. The user registration information shall include at least the user's identity information, image information, flight information, and contact information. Based on the user registration information, information clustering is performed on the same user to determine parent nodes and child nodes. The parent node is the user's identity information, and the child nodes include the user's image information, flight information, and contact information. Based on the user's image information, flight information, and contact information at different times, determine the real-time sequence of sub-nodes, as well as the attribute information of the sub-nodes in each sequence, including the generation time of the sub-nodes; An airport knowledge graph is constructed based on the real-time sequences of the parent and child nodes.

[0012] Furthermore, the characteristics of the target owner are matched with a preset airport knowledge graph to determine the target owner's valid contact information, including: Based on the characteristics of the target owner, the target features to be matched are determined, and the target region includes facial features, clothing features, and posture features; The target feature to be matched is matched with the latest child node of each user in the airport knowledge graph, and the parent node corresponding to the child node where all target features are successfully matched is taken as the target parent node. Extract the user information and latest contact information of the target parent node, and use the latest contact information as the valid contact information for the target owner.

[0013] Furthermore, based on the target owner's valid contact information, a lost and found message is sent to the owner, including: Based on the airport knowledge graph, the latest flight information of the target missing person was determined; Based on the latest flight information, determine the optimal contact strategy for the current owner; Based on the optimal contact strategy, the target owner is contacted to retrieve the lost item.

[0014] Furthermore, based on the latest flight information, the optimal contact strategy for the current owner is determined; Based on the latest flight information, determine the current boarding information of the target owner, including whether the person has not boarded, whether the aircraft is in flight, and whether the person has already arrived at the destination. If the target owner has not boarded the plane, the target owner will be called according to the boarding gate corresponding to the latest flight information of the target owner, or the target owner will be contacted directly by telephone. While the target owner is still in flight, a text message and / or email notification will be sent to the target owner to inform them of the lost item and provide a return route for the lost item. Once the target owner has arrived at their destination, they will be contacted directly by phone.

[0015] On the other hand, this article also provides an airport lost and found device, the device comprising: The upload module is used by users to upload image information of lost items to the lost and found system using terminal devices. The users are airport staff or people who pick up the lost items. The target owner determination module is used to determine the characteristics of the target owner based on the location information of the terminal device and the image information, and the lost and found system determines the characteristics of the target owner within a preset time and space range. The contact information determination module is used to match the characteristics of the target lost owner with a preset airport knowledge graph to determine the effective contact information of the target lost owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. The lost and found module is used to send lost and found information to the target owner based on their valid contact information.

[0016] Finally, this paper also provides an airport lost and found system, the system including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described above.

[0017] Using the above technical solution, the airport lost and found method, device, and system described in this paper involve a user uploading lost item image information to the lost and found system using a terminal device. The user is either an airport staff member or someone who found the lost item. Based on the location information of the terminal device and the image information, the lost and found system determines the characteristics of the target owner within a preset spatiotemporal range. The target owner's characteristics are then matched with a preset airport knowledge graph to determine the target owner's valid contact information. The airport knowledge graph is an airport person-to-person network constructed based on the airport's security check system, departure system, self-service check-in system, and lost and found system. Based on the target owner's valid contact information, lost and found information is sent to the owner. The solution provided in this paper can improve the automation level of lost and found operations, reduce manual intervention, and improve processing efficiency and reliability.

[0018] To make the above and other objects, features and advantages of this document more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments or prior art described herein, the accompanying drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this article. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This document illustrates the steps of an airport lost and found method provided in an embodiment. Figure 2 This article shows a schematic diagram of the lost and found process in the example. Figure 3 A schematic diagram of the frame of an airport lost and found device provided in an embodiment of this article is shown. Detailed Implementation

[0021] The technical solutions in the embodiments described below will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments described herein, and not all of the embodiments. Based on the embodiments described herein, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this document.

[0022] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings herein are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0023] First, let's explain the nouns that appear in the text: The security screening system consists of two parts: a baggage screening system and a passenger screening system. The baggage screening system checks checked baggage and carry-on baggage, while the passenger screening system checks passengers.

[0024] The departure system, also known as the airport passenger processing system, is a key computer information system used by airports to process passenger check-in procedures. Its main functions include departure control, flight passenger information retrieval and processing, excess baggage handling, and boarding pass and baggage tag printing. It is an essential tool for Chinese passengers to check in before security checks.

[0025] Self-service check-in systems include airport self-service check-in kiosks, online check-in on airline websites, mobile check-in via airline or third-party apps, and third-party SMS check-in.

[0026] Reporting lost items refers to the process by which passengers report lost items through various channels such as the airport's official website, WeChat mini-program, customer service hotline, and on-site counters.

[0027] Lost and found refers to the process by which a passenger can collect lost items in person or by entrusting someone else to do so, or contact the airport to have them sent to a designated location via logistics or express delivery.

[0028] Lost documents include ID cards, passports, household registration books, driver's licenses, medical insurance cards, social security cards, Taiwan Compatriot Certificates, Hong Kong and Macao Travel Permits, military officer certificates, and other legal certificates, as well as items containing the above-mentioned documents, such as wallets, cardholders, and handbags. These are generally items whose owners can be identified.

[0029] Lost items other than documents mentioned above are generally items for which the owner cannot be identified.

[0030] The Video Network (VDN) is a new type of infrastructure based on audio and video technology, integrating communication, IoT, cloud computing, big data, and artificial intelligence technologies to provide end-to-end video services, including the acquisition, transmission, storage, processing, presentation, and application of video data. The VDN emphasizes real-time performance and high definition, enabling real-time transmission of high-definition video globally and driving numerous internet applications towards high-definition video.

[0031] Geographic Information System (GIS) is a computer hardware and software system used to collect, store, manage, compute, analyze, display, and describe geographic distribution data of the Earth's surface and even the entire Earth system.

[0032] Metadata is information about the organization of data, data domains, and their relationships. In short, metadata is data about data.

[0033] The existing lost and found process relies on the owner making a request, with airport service departments passively accepting and processing the claim. It also requires passengers to provide extensive supporting documentation, which must be verified before the lost item can be legally retrieved. While this process can prevent fraudulent claims to some extent, there is significant room for improvement in terms of customer satisfaction and efficiency.

[0034] To address the aforementioned issues, this embodiment provides an airport lost and found method that can improve the efficiency of lost and found services. Figure 1 This is a schematic diagram illustrating the steps of an airport lost and found method provided in this embodiment. This specification provides the operational steps of the method described in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible execution order. In actual system or device products, the methods shown in the embodiments or drawings can be executed sequentially or in parallel. Specifically, as shown in the attached drawings... Figure 1 As shown, the method may include: S101: The user uploads the image information of the lost item to the lost and found system using a terminal device. The user is an airport staff member or the person who picked up the lost item. S102: Based on the location information of the terminal device and the image information, the lost and found system determines the characteristics of the target owner within a preset time and space range; S103: Match the characteristics of the target owner with a preset airport knowledge graph to determine the effective contact information of the target owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. S104: Based on the valid contact information of the target owner, send lost and found information to the owner.

[0035] This specification can be understood as a solution proactively proposed by airport staff or the person who found the lost item to accurately identify and contact the target lost item. By providing a lost and found system, the system automatically performs accurate matching of lost item and owner information, thereby conducting targeted lost and found, improving the efficiency of lost and found, enhancing user experience, and avoiding centralized broadcasting in public places, thus reducing the occupation of public resources.

[0036] It should be noted that the lost items in the embodiments of this specification can be non-documentary lost items. If it is a document lost item, the owner can be contacted directly based on the user information or contact information on the document. Non-documentary lost items can be items such as mobile phones, clothes, backpacks, and handbags, and the owner cannot be contacted directly.

[0037] In this embodiment of the specification, based on the location information of the terminal device and the image information, the lost and found system determines the characteristics of the target owner within a preset spatiotemporal range, including: Based on the image information, the type and characteristic information of the lost item are determined, and the characteristic information includes at least the color, current shape, and usage status of the lost item by the owner; Using the location information of the terminal device as the search location center and the time of the lost and found upload system as the nearest point of the search time, the search time and space range are determined within a preset search range and a preset search time length. Within the search time and space range, the type and feature information of the lost item are used as the retrieval target, and similarity matching is performed with each person within the search time and space range. A preset number of people with the highest similarity ranking are selected as candidate owners. Multiple candidate lost owner features are subjected to secondary feature screening to determine the features of the target lost owner.

[0038] This can be understood as follows: by determining the current spatiotemporal location of the lost item, we can pinpoint that the owner may still be active within a certain spatiotemporal range. By setting the search spatiotemporal range, we can narrow down the search area and quickly locate the owner while reducing the workload of the search. Of course, since airports are relatively large and there are many passengers and airport staff, there will be a certain degree of similarity among people (such as wearing the same clothes, having the same hairstyle, etc.), making it difficult to accurately locate the target owner at once. Therefore, a secondary screening method can be used to locate the target owner.

[0039] The type of lost item can be the type of lost item, such as mobile phones, clothes, backpacks, handbags, etc., as mentioned above. The characteristic information is the current and possible state of the lost item, such as its current color, shape, etc., and the possible state when the user uses it in the future. For example, a towel may be wrapped around the neck when the user uses it, and a foldable screen phone may be in a folded or open state when the user uses it. Therefore, the possible usage states of the lost item need to be taken into account.

[0040] The preset search range and preset search time can be set according to the actual situation, such as within a 500m radius of the search location center, or within the most recent 12 hours of the nearest search time point.

[0041] During the search, the information collection carrier of the monitoring equipment deployed in the area should be used to extract the monitoring data of the monitoring equipment within the preset search time and space range as the retrieval content, and image matching should be performed. The matching process is not limited in the embodiments of this specification. For example, each person in the monitoring video can be extracted and the similarity with the type and feature information of the lost item can be calculated, so as to select multiple similar person features as candidate owner features.

[0042] Furthermore, a secondary feature screening is performed on multiple candidate lost owner features to determine the features of the target lost owner, including: For each candidate owner's characteristics, obtain the second candidate owner's characteristics after a specified time period; Determine the difference features between the second candidate owner features and the candidate owner features; When the difference features match the feature information of the lost owner, the candidate lost owner features are determined as the target lost owner features.

[0043] This can be understood as follows: Since there are users with similar clothing and appearances, to accurately filter them, the lost and found system can further perform preliminary screening to determine a candidate set of target owners. Users and lost items in this set have a high degree of matching. Then, the final target owner can be determined by observing the changes in each candidate owner over time. The specified time period can be the length of time after the monitoring time when the candidate owner was identified. That is, the candidate owners obtained through preliminary screening should not have lost the item yet, so they are still in a normal state. After the specified time period, the candidate owners may have already lost the item, and their state will be different from before, for example, their image features will be different (excluding the image features of the lost item). Therefore, the image features of each candidate owner at the time of matching can be compared with the image features after the specified time period to determine if they have changed, and the difference features can be extracted. If the difference features are the same as or similar to the lost item, it indicates that the candidate owner is the target owner. Thus, the target owner can be accurately located based on the continuous changes in user state over time, improving the accuracy of owner identification.

[0044] In another embodiment of this specification, multiple candidate lost owner features are subjected to secondary feature filtering to determine the target lost owner features, including: Airport staff manually screened the data to identify the characteristics of the target owner from multiple candidate owners.

[0045] In other words, to avoid problems with automated identification, manual intervention can be directly carried out in the final screening process to improve the efficiency and reliability of locating the target owner.

[0046] In the embodiments described in this specification, the airport knowledge graph is constructed in the following manner: Determine the user registration information in the security check system, departure system, self-service check-in system, and lost and found system. The user registration information shall include at least the user's identity information, image information, flight information, and contact information. Based on the user registration information, information clustering is performed on the same user to determine parent nodes and child nodes. The parent node is the user's identity information, and the child nodes include the user's image information, flight information, and contact information. Based on the user's image information, flight information, and contact information at different times, determine the real-time sequence of sub-nodes, as well as the attribute information of the sub-nodes in each sequence, including the generation time of the sub-nodes; An airport knowledge graph is constructed based on the real-time sequences of the parent and child nodes.

[0047] In other words, by building an airport knowledge graph, the characteristics of each user in the airport can be aggregated, so that the user's identity or contact information can be quickly locked based on any feature, thereby improving the efficiency and reliability of the entire system's lost and found matching.

[0048] While different systems store different user information, the most basic user identity information remains consistent, such as the user's name, ID number, and address. Based on this user identity information (i.e., the parent node), various child nodes are arranged around it, thus forming a knowledge graph of the user at the airport. In addition, information such as the user's contact information, valid identity information, flight information, and clothing characteristics have a certain time sensitivity. Therefore, to ensure the validity of user information, child nodes can be further set up in a time series, which can include valid child nodes as well as invalid child nodes. This way, all the user's information at the airport (current and historical) can be saved in the knowledge graph, facilitating subsequent comparison and retrieval.

[0049] Therefore, the characteristics of the target owner are matched with a preset airport knowledge graph to determine the effective contact information of the target owner, including: Based on the characteristics of the target owner, the target features to be matched are determined, and the target region includes facial features, clothing features, and posture features; The target feature to be matched is matched with the latest child node of each user in the airport knowledge graph, and the parent node corresponding to the child node where all target features are successfully matched is taken as the target parent node. Extract the user information and latest contact information of the target parent node, and use the latest contact information as the valid contact information for the target owner.

[0050] This can be understood as follows: the previously determined characteristics of the target owner only confirm the owner's physical features, but cannot immediately determine the owner's contact information and identity. Therefore, by setting up an airport knowledge graph, the target region in the target owner's characteristics can be compared with the knowledge graph to determine the target owner's position in the airport knowledge graph (i.e., the position of the child node). Based on this position, the user's actual identity can be quickly located (such as the parent node), thereby determining the target owner's contact information and improving the efficiency and accuracy of the entire user identity matching process.

[0051] In this embodiment of the specification, based on the valid contact information of the target owner, sending lost and found information to the owner includes: Based on the airport knowledge graph, the latest flight information of the target missing person was determined; Based on the latest flight information, determine the optimal contact strategy for the current owner; Based on the optimal contact strategy, the target owner is contacted to retrieve the lost item.

[0052] This can be understood as follows: since users going to the airport all have plans to take a flight, if the owner is not located or contacted for a long time, the owner may have already left the airport. Therefore, it is necessary to determine the possible location of the owner before contacting them, so as to choose an appropriate way to contact the owner and avoid the possibility of being unable to reach them by relying on a single method of contact.

[0053] Therefore, it is possible to determine whether the owner has left based on their latest flight information, and then select an appropriate contact strategy. Furthermore, based on the latest flight information, the optimal contact strategy for the current owner can be determined, including: Based on the latest flight information, determine the current boarding information of the target owner, including whether the person has not boarded, whether the aircraft is in flight, and whether the person has already arrived at the destination. If the target owner has not boarded the plane, the target owner will be called according to the boarding gate corresponding to the latest flight information of the target owner, or the target owner will be contacted directly by telephone. While the target owner is still in flight, a text message and / or email notification will be sent to the target owner to inform them of the lost item and provide a return route for the lost item. Once the target owner has arrived at their destination, they will be contacted directly by phone.

[0054] In other words, if you call the owner before they board the plane, they might be mistaken for a nuisance call and the caller might refuse to answer. Therefore, you can choose to contact the owner by calling from the airport. At this time, the owner is most likely waiting to board at the gate, so you can call from the gate corresponding to the latest flight to get in touch with them as soon as possible. Of course, if you still can't reach the owner after calling a certain number of times, you can also call from multiple gates around the gate simultaneously, as the owner is most likely to be in the vicinity. Of course, you can also directly call the owner, which can improve the efficiency of contacting them.

[0055] Another possibility is that the owner is already en route, and the phone will inevitably be in airplane mode or switched off, making it impossible to contact the owner immediately. In this case, a text message or email can be sent to the owner to inform them of the lost item, so that the owner will know about the lost item as soon as they get off the plane. At this time, the specific information of the lost item, as well as the way to contact the airport, can be sent to the owner at the same time, so that the owner can contact the airport to retrieve the lost item.

[0056] Another possibility is that the owner has already reached their destination, making it impossible to return the lost item directly. In this case, the owner can be contacted by phone to confirm whether the loss has occurred and to explain the subsequent return process. Alternatively, the owner can be notified via SMS to keep track of the item's whereabouts.

[0057] Therefore, the airport lost and found method provided in this specification, through the extensive information systems and platforms built by the airport, automates and digitally verifies evidence. Starting with non-certificate lost items, it proactively locates and contacts the owners to retrieve them. It can even reduce the amount of supporting documentation passengers need to provide before the owner discovers the item is lost, greatly simplifying the lost and found process and improving passenger satisfaction. At the same time, it significantly reduces the workload and intensity of airport lost and found counter staff.

[0058] This specification also provides an embodiment of an airport lost and found method, such as... Figure 2 The diagram shown illustrates the process of handling lost and found items, which may include the following steps: First, loosely coupled data relationships are established for the metadata of airport systems such as security check system, departure system, self-service check-in system, and lost and found system. For example, relationships are combined for various time and date fields according to their specific uses and meanings; relationships are also combined for the meanings and uses of various names, titles, numbers, codes, etc., ultimately forming a knowledge graph structure based on people or things. For example, security check systems, departure systems, self-service check-in systems, and lost and found systems may all store passengers' identification information. Some stores the ID card information used during registration, some stores the passport information used during the last check-in, and some stores the identification number used during this security check. By combining this with the facial feature data of passengers that may be stored in various systems, the above-mentioned multiple different identification information can be associated with a single passenger. Similarly, the aforementioned systems also store contact information for various purposes, such as the mobile phone number that received the SMS verification code during the last check-in, the mobile phone number or email address registered during user registration, and the called numbers from the contact records after lost items were lost last month. This contact information can also be linked to individual passengers in a similar way. The establishment of connections and data accumulation described above is a gradual and progressive process. During this process, through a certain level of data quality assessment, the system from which the data is ultimately obtained is selected as the definitive source. When cleaning staff find non-document-related lost items, they take photos of the items via a WeChat mini-program and upload them, along with the location information from their mobile devices, the photo of the lost item, and the entered information, to the lost and found system for registration. The location information may be based on indoor positioning such as Bluetooth beacons, WiFi signals, or mobile base stations, or it may be based on outdoor positioning such as satellite positioning signals, mobile base stations, or WiFi signals. The lost and found system immediately performs image recognition on the subject of the lost item in the photo, retrieves a list of nearby surveillance equipment in the GIS system based on the location information, and determines which surveillance equipment's monitoring direction matches the location where the lost item was found based on the data in the GIS system. Next, historical surveillance videos of these monitoring devices that correspond to the pickup locations are retrieved through the video network. Using parallel computing based on space, time, or spatiotemporal methods, the surveillance videos from the most recent 24 hours or a specific time period up to the time the item was picked up are quickly and automatically retrieved to determine the characteristics of the person who possessed or lost the item (including facial information, physical characteristics, clothing, etc.). Spatial-based parallel computing: Based on the different video files from the locations of the monitoring devices, a hash algorithm is used to allocate them to different video analysis and processing units for parallel computing; Time-based parallel computing: Based on the same monitoring device, video files are divided into multiple video files of different time periods, and then distributed to different video analysis and processing units for parallel computing using a hash algorithm; Space-time based parallel computing: combining the two methods mentioned above to perform parallel computing; Subsequently, based on the knowledge graph established above, identification and comparison were performed from information systems such as security inspection systems and historical lost property databases, based on facial or physical characteristics or clothing, to obtain a list of possible lost property owners and their corresponding contact information, including but not limited to: email, mobile phone number, landline, emergency contact's mobile phone, etc., and the relevant search criteria were archived. Based on the accuracy, validity, and activity level of the contact information, the preferred contact numbers for the owners of lost items are selected. After manual verification, the owners are proactively contacted. If the contact information is the owner's mobile phone number, the system will proactively contact the owner via automated outbound calling and confirm the collection method (on-site / logistics express), collection time, express delivery address, recipient's name and mobile phone number with the passenger through the IVR's self-service voice interaction process. If the contact information is the owner's mobile phone number, a link to the online appointment application form can also be sent to the owner via SMS using a short URL. The traveler can then fill in the collection method (on-site / logistics express), collection time, express address, recipient's name, and mobile phone number. If the contact information is an email address, the owner will be notified via email of the online appointment application form, which will be filled out by the traveler himself / herself, including the collection method (on-site / logistics express), collection time, express address, recipient's name and mobile phone number, etc. After the owner retrieves the lost item, a satisfaction survey can be conducted through various means such as automated outbound calls, SMS notifications, and email notifications, based on the owner's contact information, thus completing the entire lost item retrieval service process.

[0059] This invention automates the entire lost and found process to a certain extent through proactive and intelligent evidence collection and verification, greatly reducing manual intervention, significantly improving processing efficiency, and enhancing passenger satisfaction.

[0060] Based on the methods provided above, this specification also provides an airport lost and found device, such as... Figure 3 As shown, the device includes: The upload module 310 is used by a user to upload image information of lost items to the lost and found system using a terminal device. The user is an airport staff member or a person who picks up the lost items. The target owner determination module 320 is used to determine the characteristics of the target owner based on the location information of the terminal device and the image information, and the lost and found system determines the characteristics of the target owner within a preset time and space range. The contact information determination module 330 is used to match the characteristics of the target lost owner with a preset airport knowledge graph to determine the valid contact information of the target lost owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. The lost and found module 340 is used to send lost and found information to the target owner based on the owner's valid contact information.

[0061] The solution provided in this manual greatly reduces manual intervention and significantly improves processing efficiency through digital evidence collection and verification and automated processing procedures. Passengers can claim lost items without providing various supporting documents, which also improves passenger satisfaction. The solution can locate and contact the owner in time before the passenger discovers the item is lost, making it convenient for the passenger to retrieve the lost item. In the future, it can be expanded to be used in lost and found scenarios in a large number of public places such as high-speed rail stations and hospitals.

[0062] Another embodiment of this specification provides an airport lost and found system, the system including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method described above.

[0063] In the embodiments provided herein, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, devices, or units, or they may be electrical, mechanical, or other forms of connection.

[0064] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments described herein, depending on actual needs.

[0065] This document uses specific embodiments to illustrate the principles and implementation methods of this document. The descriptions of the embodiments above are only for the purpose of helping to understand the methods and core ideas of this document. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this document. Therefore, the content of this specification should not be construed as a limitation of this document.

Claims

1. A method for finding lost and found at an airport, characterized in that, The method includes: Users upload images of lost items to the lost and found system using terminal devices. The users are either airport staff or people who pick up the lost items. Based on the location information and image information of the terminal device, the lost and found system determines the characteristics of the target owner within a preset time and space range; The characteristics of the target owner are matched with a preset airport knowledge graph to determine the effective contact information of the target owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. Based on the target owner's valid contact information, a lost and found message is sent to the owner.

2. The airport lost and found method according to claim 1, characterized in that, Based on the location information of the terminal device and the image information, the lost and found system determines the characteristics of the target owner within a preset spatiotemporal range, including: Based on the image information, the type and characteristic information of the lost item are determined. The characteristic information includes at least the color, current shape, and usage status of the lost item. Using the location information of the terminal device as the search location center and the time of the lost and found upload system as the nearest point of the search time, the search time and space range are determined within a preset search range and a preset search time length. Within the search time and space range, the type and feature information of the lost item are used as the retrieval target, and similarity matching is performed with each person within the search time and space range. A preset number of people with the highest similarity ranking are selected as candidate owners. Multiple candidate lost owner features are subjected to secondary feature screening to determine the features of the target lost owner.

3. The airport lost and found method according to claim 2, characterized in that, A secondary feature screening process is performed on multiple candidate lost owner features to determine the features of the target lost owner, including: For each candidate owner's characteristics, obtain the second candidate owner's characteristics after a specified time period; Determine the difference features between the second candidate owner features and the candidate owner features; When the difference features match the feature information of the lost owner, the candidate lost owner features are determined as the target lost owner features.

4. The airport lost and found method according to claim 2, characterized in that, A secondary feature screening process is performed on multiple candidate lost owner features to determine the features of the target lost owner, including: Airport staff manually screened the data to identify the characteristics of the target owner from multiple candidate owners.

5. The airport lost and found method according to claim 1, characterized in that, The airport knowledge graph was constructed in the following manner: Determine the user registration information in the security check system, departure system, self-service check-in system, and lost and found system. The user registration information shall include at least the user's identity information, image information, flight information, and contact information. Based on the user registration information, information clustering is performed on the same user to determine parent nodes and child nodes. The parent node is the user's identity information, and the child nodes include the user's image information, flight information, and contact information. Based on the user's image information, flight information, and contact information at different times, determine the real-time sequence of sub-nodes, as well as the attribute information of the sub-nodes in each sequence, including the generation time of the sub-nodes; An airport knowledge graph is constructed based on the real-time sequences of the parent and child nodes.

6. The airport lost and found method according to claim 1, characterized in that, The characteristics of the target owner are matched with a preset airport knowledge graph to determine the target owner's valid contact information, including: Based on the characteristics of the target owner, the target features to be matched are determined, and the target region includes facial features, clothing features, and posture features; The target feature to be matched is matched with the latest child node of each user in the airport knowledge graph, and the parent node corresponding to the child node where all target features are successfully matched is taken as the target parent node. Extract the user information and latest contact information of the target parent node, and use the latest contact information as the valid contact information for the target owner.

7. The airport lost and found method according to claim 1, characterized in that, Based on the target owner's valid contact information, a lost and found message is sent to the owner, including: Based on the airport knowledge graph, the latest flight information of the target missing person was determined; Based on the latest flight information, determine the optimal contact strategy for the current owner; Based on the optimal contact strategy, the target owner is contacted to retrieve the lost item.

8. The airport lost and found method according to claim 7, characterized in that, Based on the latest flight information, determine the optimal contact strategy for the current owner, including: Based on the latest flight information, determine the current boarding information of the target owner, including whether the owner has not boarded, whether the aircraft is in flight, and whether the owner has arrived at the destination. If the target owner has not boarded the plane, the target owner will be called according to the boarding gate corresponding to the latest flight information of the target owner, or the target owner will be contacted directly by telephone. While the target owner is still in flight, a text message and / or email notification will be sent to the target owner to inform them of the lost item and provide a return route for the lost item. Once the target owner has arrived at their destination, they will be contacted directly by phone.

9. An airport lost and found device, characterized in that, The device includes: The upload module is used by users to upload image information of lost items to the lost and found system using terminal devices. The users are airport staff or people who pick up the lost items. The target owner determination module is used to determine the characteristics of the target owner based on the location information of the terminal device and the image information, and the lost and found system determines the characteristics of the target owner within a preset time and space range. The contact information determination module is used to match the characteristics of the target lost owner with a preset airport knowledge graph to determine the effective contact information of the target lost owner. The airport knowledge graph is an airport person network built based on the airport's security check system, departure system, self-service check-in system and lost and found system. The lost and found module is used to send lost and found information to the target owner based on their valid contact information.

10. An airport lost and found system, characterized in that, The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method as described in any one of claims 1 to 8.

Images