WO2019023994A1 - 一种基于智能终端的行程管理方法及行程管理系统 - Google Patents

一种基于智能终端的行程管理方法及行程管理系统 Download PDF

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Publication number
WO2019023994A1
WO2019023994A1 PCT/CN2017/095639 CN2017095639W WO2019023994A1 WO 2019023994 A1 WO2019023994 A1 WO 2019023994A1 CN 2017095639 W CN2017095639 W CN 2017095639W WO 2019023994 A1 WO2019023994 A1 WO 2019023994A1
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Prior art keywords
information
trip
travel
message
unit
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PCT/CN2017/095639
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English (en)
French (fr)
Inventor
唐圣杰
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深圳传音通讯有限公司
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Priority to PCT/CN2017/095639 priority Critical patent/WO2019023994A1/zh
Publication of WO2019023994A1 publication Critical patent/WO2019023994A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/725Cordless telephones

Definitions

  • the present invention relates to the field of smart devices, and in particular, to a travel management method based on an intelligent terminal and a trip management system.
  • mobile communication terminals With the popularity of mobile communication terminals, many additional functions have been improved and added to mobile communication terminals like the main functions such as telephone communication or data communication, and it is more convenient to process personal information, including schedules, tasks, reminders, and text messages. , e-mail, etc., for business people, can handle the above matters in an auxiliary way, making business trips easier for business people.
  • reminder information usually needs to be manually input into the mobile communication terminal by the business person, and the mobile communication terminal uses the reminder function.
  • the function is equivalent to the chicken rib and does not have the most original effect.
  • the object of the present invention is to provide a travel management method and a trip management system based on an intelligent terminal, which can manage and arrange various business information for a long time, and can be easily established and viewed, completely eliminating the user. The time you need to establish yourself.
  • the invention discloses a travel management method based on an intelligent terminal, comprising the following steps:
  • Extracting a trip element in the trip information wherein the trip element includes one or more of a travel time, a trip location, a trip action, and a trip person;
  • a reminder message is displayed according to the stroke element.
  • the step of establishing a trip database in the smart terminal comprises:
  • Each set of said library name, data packet and data size values is integrated to form a trip database.
  • the step of reading the travel information in the application, the phone and/or the short message in the smart terminal comprises:
  • the information or message is filtered to extract the information or the itinerary information within the message.
  • the step of extracting the travel elements in the trip information comprises:
  • the time element, the location element, the action element, and the person element in the travel information are extracted to form the travel time, the travel location, the travel action, and the travel person.
  • the step of displaying a reminder information according to the stroke element comprises:
  • the travel time, the travel location, and the travel action are sequentially arranged in the display interface to form the reminder information.
  • the invention also discloses an intelligent terminal-based trip management system, comprising:
  • a trip information reading module which reads travel information in an application, a phone, and/or a short message in the smart terminal
  • a storage module respectively connected to the trip database and the trip information reading module, and storing the trip information to the trip database;
  • a stroke element extraction module which extracts a stroke element in the trip information, wherein the stroke element includes one or more of a travel time, a travel location, a trip motion, and a trip person;
  • the reminder information display module is connected to the stroke element extraction module, and displays a reminder information according to the stroke element.
  • the trip database includes:
  • a storage space obtaining unit sending a request to the smart terminal to acquire a storage space
  • dividing unit dividing the storage space into at least one library name, a data packet, and a data size value
  • An integration unit is coupled to the segmentation unit to integrate each set of the library name, data packet, and data size value.
  • the trip information reading module comprises:
  • the read permission obtaining unit sends a permission request to the smart terminal to obtain the read permission of the application, the phone, and/or the short message in the smart terminal;
  • a message extraction unit that extracts information or messages within an application, a phone, and/or a text message
  • a message screening unit is coupled to the message extraction unit to filter the information or message to extract the information or the itinerary information within the message.
  • the trip element extraction module comprises:
  • the extraction strategy unit is disposed in the stroke element extraction module and provides a stroke element extraction strategy
  • a trip information analysis unit that parses the trip information based on a trip element extraction strategy and a character feature
  • the stroke element extraction unit is connected to the travel information analysis unit, and extracts time elements, location elements, motion elements, and person elements in the travel information to form the travel time, the travel point, the travel motion, and the travel person.
  • the reminder information display module includes:
  • a display unit providing a display interface with a reminder information
  • a reminder time unit wherein a preset time is set, and the display interface is displayed at a preset time before the travel time;
  • the sorting unit is connected to the display unit, and sequentially arranges the travel time, the travel point, and the stroke motion in the display interface to form the reminder information.
  • FIG. 1 is a schematic flow chart of a trip management method in accordance with a preferred embodiment of the present invention
  • FIG. 2 is a flow chart showing a method for establishing a trip database in accordance with a trip management method in accordance with a preferred embodiment of the present invention
  • FIG. 3 is a flow chart showing a method of reading trip information in a trip management method in accordance with a preferred embodiment of the present invention
  • FIG. 4 is a flow chart showing a method for extracting a stroke element according to a stroke management method in accordance with a preferred embodiment of the present invention
  • FIG. 5 is a flow chart showing a method for displaying reminder information in a trip management method according to a preferred embodiment of the present invention
  • FIG. 6 is a block diagram showing the structure of a trip management system in accordance with a preferred embodiment of the present invention.
  • Figure 7 is a block diagram showing the structure of the itinerary of the trip management system in accordance with a preferred embodiment of the present invention.
  • Figure 8 is a block diagram showing the structure of a trip information reading module of a trip management system in accordance with a preferred embodiment of the present invention.
  • Figure 9 is a block diagram showing the structure of a stroke element extraction module of a trip management system in accordance with a preferred embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a reminder information display module of a trip management system in accordance with a preferred embodiment of the present invention.
  • the mobile terminal can be implemented in various forms.
  • the terminal described in the present invention may include a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a PDA (Personal Digital Assistant), a PAD (Tablet), a PMP (Portable Multimedia Player), a navigation device, and the like, and such as Fixed terminal for digital TV, desktop computer, etc.
  • a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a PDA (Personal Digital Assistant), a PAD (Tablet), a PMP (Portable Multimedia Player), a navigation device, and the like
  • the terminal is a mobile terminal.
  • those skilled in the art will appreciate that configurations in accordance with embodiments of the present invention can be applied to fixed type terminals in addition to components that are specifically for mobile purposes.
  • the trip management method specifically includes the following steps:
  • a trip database is built, and all the trips of the user are built in, as well as the travel time, travel location, and trip information of each trip.
  • the above trip data can be read from the trip database and displayed to the user to serve as a reminder.
  • the application, the phone and/or the short message in the smart terminal will be read. Trip information within.
  • chat tool type application when meeting with the other party, meeting with the other party will inevitably talk about the date of the appointment, the date of the appointment, the number of appointments, etc., that is, the application will record
  • chat content such as the other party or the user mentioned in the chat
  • the app contains obvious and itinerary
  • the relevant travel time “January 1, 9 am”, the trip location "People's Square”, the trip person "the other party in the chat interface”
  • the app will monitor all the messages of the application, when monitoring, for example, the above
  • Such messages can be read as the user's itinerary information.
  • the itinerary information recorded in the voice message can also be read.
  • the voice message is obtained, and the voice is parsed and converted into text. Form, and similarly to receiving the text message, extract the itinerary information contained in the message.
  • the picture is transcoded, the characters contained in the picture are extracted, and arranged according to language habits to collect the itinerary information in the picture.
  • the short message module of the user is monitored, and when the user receives an order such as: [railway customer service] EC1234567890, Zhang San has purchased G1111 times on January 1st. 1 car 1A Shanghai, 9:00. Waiting location: When the short message of the waiting room 1 is received, the travel information in the short message will be read, including the travel time "9:00 on January 1", the travel location "Shanghai, waiting place: waiting room 1", and the itinerary "G1111” Sub 1 car No. 1A", other information "Order EC1234567890". The above information will be read intact for later use.
  • the message received or sent by the short message is chatted through the phone, and the phone is monitored.
  • the speech related to the itinerary information is collected, it will be discriminated to read the text information in the speech.
  • the processing of the voice message may be specifically performed in the following manner. Because the sound is actually a wave. Common mp3 formats are compressed and must be converted to uncompressed pure waveform files, such as Windows PCM files, also known as wav files. In addition to a file header stored in the wav file, it is a point of the sound waveform. Before starting speech recognition, it is sometimes necessary to cut off the mute at the beginning and the end to reduce the interference caused by subsequent steps. This silent cut operation is generally referred to as VAD and requires some techniques for signal processing. To analyze the sound, you need to frame the sound, that is, cut the sound into a short segment, each segment is called a frame.
  • a common method of transformation is to extract the MFCC features and transform each frame waveform into a multi-dimensional vector according to the physiological characteristics of the human ear. It can be simply understood that this vector contains the content information of the frame speech. This process is called acoustic feature extraction.
  • frame processing is performed in three small steps: Identify frames as states; combine states into phonemes; combine phonemes into words.
  • a number of frame speeches correspond to a state, and each of the three states is combined into one phoneme, and a plurality of phonemes are combined into one word.
  • the result of voice recognition comes out.
  • the "acoustic model” there are a lot of parameters in the memory, through which you can know the probability of the frame and the state.
  • the method of getting this bunch of parameters is called "training” and requires a huge amount of voice data.
  • HMM Hidden Markov Model
  • the second step is to find the path that best matches the sound from the state network.
  • the path search algorithm is a dynamic plan pruning algorithm called Viterbi algorithm for finding the global optimal path. This basically completes the speech recognition process.
  • the processing of the picture may be specifically performed in the following manner.
  • the processing of pictures can be done by OCR.
  • OCR is an area of pattern recognition. The whole process can be divided into the following steps:
  • Preprocessing The image containing the text is processed for subsequent feature extraction and learning.
  • the main purpose of this process is to reduce the useless information in the image in order to facilitate subsequent processing.
  • this step there are usually sub-steps of grayscale (if it is a color image), noise reduction, binarization, character segmentation, and normalization.
  • grayscale if it is a color image
  • noise reduction there are only two colors left in the image, black and white, one of which is the background of the image, and the other is the text to be recognized.
  • Noise reduction is very important at this stage, and the quality of the noise reduction algorithm has a great influence on feature extraction.
  • Character segmentation divides the text in an image into a single text—the recognition is a word and a word. If the line of text is tilted, it is often necessary to perform tilt correction. Normalization is to flatten a single text image to the same size. Under the same specification, a uniform algorithm can be applied.
  • Feature extraction and dimensionality reduction are key information used to identify words. Each different text can be distinguished from other words by features. For numbers and English letters, this feature extraction is relatively easy, because there are only 10 numbers and only 52 English letters, all of which are small character sets. For Chinese characters, feature extraction is difficult because the first Chinese characters are large character sets. The national standard light is the most commonly used first-level Chinese characters with 3755; the second Chinese character is complex in structure and close in shape. After determining which features to use, depending on the situation, it is also possible to perform feature dimensionality reduction. If the dimension of the feature is too high (the feature is generally represented by a vector, the dimension is the component number of the vector). The efficiency of the classifier will be greatly affected. In order to improve the recognition rate, it is often necessary to reduce the dimension. This process is also very important. It is necessary to reduce the dimension, and the feature vector after the dimension reduction is retained. A sufficient amount of information (to distinguish between different texts).
  • Classifier design, training and actual identification the classifier is used for identification.
  • the feature is extracted and thrown to the classifier, and the classifier classifies it and identifies it. Which character this feature should be identified.
  • the classifier is often trained, which is a case of supervised learning.
  • Post-processing is used to optimize the classification results. For the recognition of Chinese characters, it is easy to recognize a word as its near-word due to the existence of the near-word in Chinese characters. Post-processing can solve this problem, such as through the language model to correct - if the classifier identifies "where" as "where to save,” through the language model will find "where to save” is wrong, and then correct. Secondly, OCR recognition images often have a large amount of text, and these characters have complex situations such as typesetting and font size. In post-processing, you can try to format the recognition result, and finally realize the image message and the itinerary information. Read about the text.
  • the above-described travel information with the text message as the carrier is stored in the itinerary database.
  • the trip message stored in the trip database may be a trip message that has not been processed any time, that is, the trip message directly obtained after reading the application, the phone and/or the short message in the smart terminal is stored without modification.
  • the steps required to process the trip information before storage can be dispensed with.
  • the extraction will be based on the type of different stroke elements in the itinerary information.
  • the travel elements such as the travel time, the travel point, the travel motion (the cause), and the travel person are extracted and combined.
  • the combination method can be various, and can be arranged according to the travel time, the travel place, the travel person, and the stroke action, which is the most suitable for the user's reading habits.
  • the display is performed according to the sorted stroke elements, and the combination of the plurality of stroke elements forms a reminder information to the user.
  • the reminder message “9:00 on January 1st, Shanghai Waiting Room 1, G1111, 1st, 1st, 3rd, and EC1234567890” will be displayed to remind the user of the subsequent itinerary. It can be understood that, in order to remind the effect, the reminder message should be reminded before the travel time, for example, the previous week, the previous day, the first two hours, etc. are displayed in the interface of the smart terminal.
  • the process management method will automatically collect and collect trips related to the user and remind them in advance to prevent users from missing.
  • the steps of establishing a trip database in the smart terminal include:
  • the intelligent terminal usually has more storage capacity, and in order to establish a trip database, a request can be sent to the smart terminal, and a part of the storage amount is occupied as a storage space.
  • S102 split the storage space into at least one library name, data packet, and data size value.
  • the storage space will be divided into three parts according to the library name, data packet and data size value.
  • the name of the library is used to distinguish different users, data packets, and travel information of different users, and data size values, to control the size of the stored data.
  • a set of library names, data packets and data size values are combined to form a user trip data, and then the travel data of all users is combined to form a trip database.
  • the step of reading the travel information in the application, the phone, and/or the short message in the smart terminal may specifically include:
  • S201 Acquire read permission of an application, a phone, and/or a short message in the smart terminal
  • the phone and the short message in order to obtain the itinerary information, it is first requested from the application to obtain the permission to read the content. For example, for an application, it needs to obtain the permission to read its message. For the phone module, it needs to obtain the permission to listen to the call. For the short message, the permission to send and receive, and read the short message needs to be obtained. , is a necessary condition for the formation of travel information.
  • S202 Extract information or messages in an application, a phone, and/or a short message.
  • the messages in the application, the phone, and/or the short message are extracted for later use.
  • the extraction method may refer to the direct extraction or the indirect extraction described above, and no further description is provided herein.
  • the standard for the extraction of the trip information can be set loosely, so as not to miss the important trip information, but after the extraction, the information or message of the application, the phone and/or the short message needs to be performed. filter.
  • the received message is "Chinese male is enough to beat the Korean men's soccer team 3:0"
  • the character "3:0” is similar to the format "3:00” indicating time
  • the Chinese men's soccer team can be considered as 3
  • the misunderstanding of the point of meeting with the Korean men's soccer team, similar to this kind of information will be analyzed and screened to form the final information or the itinerary information within the message.
  • the step of extracting the travel elements in the travel information specifically includes:
  • a trip element extraction strategy can be established according to the user's needs. For example, only the travel time and the travel location are required, and only the travel time, the travel person, and the like are required to determine the travel elements required later.
  • the itinerary information is analyzed, the content of the itinerary elements included in the itinerary information is extracted, and other irrelevant contents are deleted, and are classified into travel time, travel place, and the like in a one-to-one correspondence.
  • it can be distinguished according to the character characteristics. For example, if the information contains “year, month, and day”, usually the travel time, and the information contains a combination of meaningless characters, it may be a trip person, and the information includes “city, district, road The character of the ",” is usually the place of the trip.
  • time elements, location elements, action elements, and character elements of the classification are extracted and integrated to form a travel time, a travel location, a trip motion, and a trip person, and the trip message is combined.
  • the step of displaying a reminder information according to the stroke element specifically includes:
  • the request is to retrieve all or part of the display area on the screen as a display interface.
  • the travel time in the trip message When the travel time in the trip message is acquired, it is timed, and a preset time is calculated on the benchmark of the travel time, for example, one week ago, one day before, etc., when the estimated time is reached, the display is displayed. interface.
  • each stroke element is sorted to form a reminder message.
  • the display of the reminder information is not limited to being displayed only through the screen of the smart terminal, and can also be conveyed by means of voice broadcast, strobe, etc., and only when the user triggers the cancel reminder, the reminder can be ended, thereby being regarded as the user. A reminder has been received.
  • a smart terminal-based trip management system specifically includes the following components:
  • Trip database In order to manage the user's itinerary, it is necessary to occupy part of the storage space in the smart terminal, which can facilitate overall planning or calling.
  • a trip database is built, and all the trips of the user are built in, as well as the travel time, travel location, and trip information of each trip.
  • the above trip data can be read from the trip database and displayed to the user to serve as a reminder.
  • the travel information reading module after the trip database is established, the travel time and the trip are saved by the user.
  • a trip information reading module is also provided, which can read the travel information in the application, the phone and/or the short message in the smart terminal.
  • the application will record
  • chat content such as the other party or the user mentioned in the chat
  • the app contains obvious and itinerary
  • the relevant travel time “January 1, 9 am”
  • the trip location "People's Square”
  • the trip person the other party in the chat interface”
  • the trip information reading module monitors the application, it will monitor all messages of the application, When the trip information reading module detects a message such as the above, such a message can be read as the travel information of the user.
  • the itinerary information recorded in the voice message can also be read.
  • the trip information reading module acquires the voice message, parses the voice, converts it into a text form, and then receives the text message.
  • the itinerary information contained in the message is extracted.
  • the travel information reading module will transcode the picture, extract the text contained in the picture, and arrange according to the language habit to collect the travel information in the picture.
  • the travel information reading module monitors the short message module of the user, and when the user receives an order such as: [railway customer service] EC1234567890, Zhang San has purchased 1 On the 1st of the month, G1111 times 1 car 1A Shanghai, 9:00. Waiting place: When the short message of the waiting room 1 is sent, the travel information reading module will read the travel information in the short message, including the travel time “9:00 on January 1st”, the travel location “Shanghai, waiting place: waiting room 1” , the itinerary "G1111 1 car 1A”, other information "order EC1234567890". The above information will be read intact by the trip information reading module for later use.
  • the short message is chatted through the phone, and the travel information reading module
  • the trip information reading module will discriminate it to read the text information in the voice.
  • the storage module After the storage module has the above-mentioned direct text message, the voice-converted indirect text message, and the image-converted indirect text message, the storage module stores the travel information with the text message as the carrier in the itinerary database.
  • the trip message stored by the storage module may be a trip message that has not been processed any time, that is, the trip message directly obtained after reading the application, the phone and/or the short message in the smart terminal is stored to the trip without modification.
  • the steps required to process the trip information before storage can be dispensed with.
  • the stroke element extraction module extracts the types of stroke elements in the trip information.
  • the stroke element extraction module extracts and combines the travel elements such as the travel time, the travel location, the travel motion (the cause), and the travel person.
  • the combination method can be various, and can be arranged according to the travel time, the travel place, the travel person, and the stroke action, which is the most suitable for the user's reading habits.
  • the reminder information display module is connected to the stroke element extraction module, and displays reminder information formed by combining the plurality of stroke elements according to the sorted stroke elements on the display interface of the smart terminal.
  • the trip database specifically includes:
  • the storage space acquiring unit the smart terminal usually has more storage capacity, and in order to establish a trip database, the storage space obtaining unit sends a request to the smart terminal to occupy a part of the storage amount as a storage space.
  • the splitting unit considers that the smart terminal can be shared and used by a plurality of users, and the splitting unit divides the storage space, and divides the unit into three parts according to the library name, the data packet, and the data size value.
  • the name of the library is used to distinguish different users, data packets, and travel information of different users, and data size values, to control the size of the stored data.
  • An integration unit is connected to the segmentation unit. For a user, the integration unit combines a set of library names, data packets, and data size values to form a user trip data, and then merges the travel data of all users to form a trip database. .
  • the travel information reading module specifically includes:
  • Read permission acquisition unit Since the itinerary information relates to the deep content of the application, the phone and the text message, in order to obtain the itinerary information, it is first requested from the application to obtain the permission to read the content. For example, for an application, it needs to obtain the permission to read its message. For the phone module, it needs to obtain the permission to listen to the call. For the short message, the permission to send and receive, and read the short message needs to be obtained. , is a necessary condition for the formation of travel information. Therefore, the read permission obtaining unit sends a permission request to the smart terminal to obtain the read permission of the application, the phone, and/or the short message in the smart terminal.
  • Message filtering unit Connected with the message extraction unit, in view of the error in the text conversion process, the standard for extracting the travel information can be set loosely, so as not to miss important travel information, but after the extraction, the application needs to be applied by the message screening unit. Filter information or messages from programs, phones, and/or text messages.
  • the stroke element extraction module specifically includes:
  • the extraction strategy unit is disposed in the stroke element extraction module. After collecting the trip information, the extraction strategy unit may establish a stroke element extraction strategy according to the user's needs. For example, only the travel time and the travel location are required, and only the travel time, the travel person, and the like are required to determine the travel elements required later.
  • the itinerary information analysis unit Based on the set stroke element extraction strategy, the itinerary information analysis unit analyzes the itinerary information, extracts the content of the itinerary elements included in the itinerary information, deletes other irrelevant content, and classifies them into travel time, trip location, and the like in a one-to-one correspondence. When parsing, it can be distinguished based on character characteristics.
  • the stroke element extraction unit is connected to the travel information analysis unit, and extracts time elements, location elements, motion elements, and person elements in the travel information to form a travel time, a travel point, a travel motion, and a travel person.
  • the reminder information display module includes:
  • the display unit in the smart terminal, the display unit requests to retrieve all or part of the display area on the screen as a display interface.
  • the reminder time unit when the travel time in the trip message is acquired, the reminder time unit counts it, and forwards a preset time on the benchmark of the travel time, and when the estimated time is reached, the display unit is displayed.
  • the sorting unit is connected to the display unit, and sorts each stroke element according to the user's needs to form reminder information.
  • non-transitory computer readable storage medium comprising instructions, such as a memory comprising instructions executable by a processor of the apparatus to perform the above method.
  • the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

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Abstract

一种基于智能终端的行程管理方法及行程管理系统,行程管理方法包括以下步骤:于所述智能终端内建立一行程数据库;读取所述智能终端内应用程序、电话和/或短信内的行程信息;存储所述行程信息至所述行程数据库;提取所述行程信息中的行程要素,其中所述行程要素包括行程时间、行程地点、行程动作、行程人物中的一种或多种;根据所述行程要素显示一提醒信息。采用上述方法,可快捷地、更智能化地统筹规划用户的行程安排,省去用户大量的手动输入行程信息的时间和精力。

Description

一种基于智能终端的行程管理方法及行程管理系统 技术领域
本发明涉及智能设备领域,尤其涉及一种基于智能终端的行程管理方法及行程管理系统。
背景技术
过去人们为了记录个人的行程安排,需要准备纸质形的记事本、笔记本等,手动书写如时间、地点、事项等行程安排,来提醒自己的日常行程。但这种做法下,提醒的作用并不明显,需要人们时不时地翻阅记事本或笔记本,来查看行程安排,无法做到主动地向用户作行程提醒。
随着移动通信终端的普及,许多附加功能与诸如电话通信或数据通信这样的主要功能一样被改进并增加到移动通信终端上,更进一步地方便地处理个人信息,包括日程、任务、提醒、短信、电子邮件等等,对于商务人士而言,可辅助性地处理上述事宜,使得商务人士的出差行程更为简单。
然而,这类的提醒信息通常需要商务人士手动输入到移动通信终端内,由移动通信终端来作提醒功能,但由于输入繁琐,该功能等同于鸡肋,并不能起到最原始的效果。
因此,需要一种可快捷地、更智能化地统筹规划用户行程安排的行程管理方法和行程管理系统,省去用户大量的手动输入行程信息的时间和精力。
发明内容
为了克服上述技术缺陷,本发明的目的在于提供一种基于智能终端的行程管理方法及行程管理系统,可对长期出行各种商务信息进行管理安排,且可方便建立和查看,完全省去了用户需自行建立的时间。
本发明公开了一种基于智能终端的行程管理方法,包括以下步骤:
于所述智能终端内建立一行程数据库;
读取所述智能终端内应用程序、电话和/或短信内的行程信息;
存储所述行程信息至所述行程数据库;
提取所述行程信息中的行程要素,其中所述行程要素包括行程时间、行程地点、行程动作、行程人物中的一种或多种;
根据所述行程要素显示一提醒信息。
优选地,于所述智能终端内建立一行程数据库的步骤包括:
获取智能终端内的一存储空间;
分割所述存储空间为至少一个库名、数据包及数据大小值;
集成每一组所述库名、数据包及数据大小值,以形成一行程数据库。
优选地,读取所述智能终端内应用程序、电话和/或短信内的行程信息的步骤包括:
获取智能终端内应用程序、电话和/或短信的读取权限;
提取所述应用程序、电话和/或短信内的信息或消息;
筛选所述信息或消息,以提取所述信息或消息内的行程信息。
优选地,提取所述行程信息中的行程要素的步骤包括:
建立一行程要素提取策略;
基于行程要素提取策略及字符特征解析所述行程信息;
提取所述行程信息中的时间要素、地点要素、动作要素及人物要素,以形成所述行程时间、行程地点、行程动作、行程人物。
优选地,根据所述行程要素显示一提醒信息的步骤包括:
建立一提醒信息的显示界面;
于所述行程时间前一预设时间展示所述显示界面;
于所述显示界面内顺序排列所述行程时间、行程地点、行程动作,形成所述提醒信息。
本发明还公开了一种基于智能终端的行程管理系统,包括:
行程数据库,建立于所述智能终端内;
行程信息读取模块,读取所述智能终端内应用程序、电话和/或短信内的行程信息;
存储模块,分别与所述行程数据库及行程信息读取模块连接,将所述行程信息存储至所述行程数据库;
行程要素提取模块,提取所述行程信息中的行程要素,其中所述行程要素包括行程时间、行程地点、行程动作、行程人物中的一种或多种;
提醒信息显示模块,与所述行程要素提取模块连接,根据所述行程要素显示一提醒信息。
优选地,所述行程数据库包括:
存储空间获取单元,向所述智能终端发出请求,以获取一存储空间;
分割单元,将所述存储空间分割为至少一个库名、数据包及数据大小值;
集成单元,与所述分割单元连接,集成每一组所述库名、数据包及数据大小值。
优选地,所述行程信息读取模块包括:
读取权限获取单元,向所述智能终端发送一权限请求,以获取所述智能终端内应用程序、电话和/或短信的读取权限;
消息提取单元,提取应用程序、电话和/或短信内的信息或消息;
消息筛选单元,与所述消息提取单元连接,筛选所述信息或消息,以提取所述信息或消息内的行程信息。
优选地,所述行程要素提取模块包括:
提取策略单元,设于所述行程要素提取模块内,提供有一行程要素提取策略;
行程信息解析单元,基于行程要素提取策略及字符特征解析所述行程信息;
行程要素提取单元,与所述行程信息解析单元连接,提取所述行程信息中的时间要素、地点要素、动作要素及人物要素,以形成所述行程时间、行程地点、行程动作、行程人物。
优选地,所述提醒信息显示模块包括:
显示单元,提供有一提醒信息的显示界面;
提醒时间单元,内设有一预设时间,于所述行程时间前一预设时间展示所述显示界面;
排序单元,与所述显示单元连接,于所述显示界面内顺序排列所述行程时间、行程地点、行程动作,形成所述提醒信息。
采用了上述技术方案后,与现有技术相比,具有以下有益效果:
1.满足现代商务人士对长期出行的众多商务信息进行合理安排,方便查看;
2.保证行程信息的完整性;
3.及时提醒,方便商务人士提早做准备;
4.无需用户操作,全方位智能提醒。
附图说明
图1为符合本发明一优选实施例中行程管理方法的流程示意图;
图2为符合本发明一优选实施例中,行程管理方法的建立行程数据库的方法的流程示意图;
图3为符合本发明一优选实施例中,行程管理方法的读取行程信息的方法的流程示意图;
图4为符合本发明一优选实施例中,行程管理方法的提取行程要素的方法的流程示意图;
图5为符合本发明一优选实施例中,行程管理方法的显示提醒信息的方法的流程示意图;
图6为符合本发明一优选实施例行程管理系统的系统结构示意图。
图7为符合本发明一优选实施例中,行程管理系统的行程数据库的结构示意图。
图8为符合本发明一优选实施例中,行程管理系统的行程信息读取模块的结构示意图。
图9为符合本发明一优选实施例中,行程管理系统的行程要素提取模块的结构示意图。
图10为符合本发明一优选实施例中,行程管理系统的提醒信息显示模块的结构示意图。
具体实施方式
这里将详细地对示例性实施例进行说明,其示例表示在附图中。下面的描述涉及附图时,除非另有表示,不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反,它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。
在本公开使用的术语是仅仅出于描述特定实施例的目的,而非旨在限制本公开。在本公开和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式,除非上下文清楚地表示其他含义。还应当理解,本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
在本发明的描述中,除非另有规定和限定,需要说明的是,术语“安装”、“相连”、“连接”应做广义理解,例如,可以是机械连接或电连接,也可以是两个元件内部的连 通,可以是直接相连,也可以通过中间媒介间接相连,对于本领域的普通技术人员而言,可以根据具体情况理解上述术语的具体含义。
在后续的描述中,使用用于表示元件的诸如“模块”、“部件”或“单元”的后缀仅为了有利于本发明的说明,其本身并没有特定的意义。因此,“模块”与“部件”可以混合地使用。
移动终端可以以各种形式来实施。例如,本发明中描述的终端可以包括诸如移动电话、智能电话、笔记本电脑、PDA(个人数字助理)、PAD(平板电脑)、PMP(便携式多媒体播放器)、导航装置等等的移动终端以及诸如数字TV、台式计算机等等的固定终端。下面,假设终端是移动终端。然而,本领域技术人员将理解的是,除了特别用于移动目的的元件之外,根据本发明的实施方式的构造也能够应用于固定类型的终端。
参阅图1,为本发明一优选实施例中基于智能终端的行程管理方法的流程示意图。该实施例中,行程管理方法具体包括以下步骤:
S100:于智能终端内建立一行程数据库
为对用户的行程进行管理,需要占用智能终端内的部分存储空间,可方便统筹规划或调用。对此,在智能终端的可存储、读取媒介内,建立有一行程数据库,内置有用户所有的行程,以及各行程的行程时间、行程地点、行程事项等。当需要提醒用户在某一时间内安排有某项事宜时,可自行程数据库内读取上述行程数据,并显示给用户,起到提醒作用。
S200:读取智能终端内应用程序、电话和/或短信内的行程信息
行程数据库建立完毕后,为省去用户自行输入行程时间、行程地点、行程事项等数据至行程数据库的时间及动作,在该实施例中,将读取智能终端内应用程序、电话和/或短信内的行程信息。具体地,以用户使用聊天工具类型的应用程序,当在与对方聊天的界面中,与对方相约会面,必然会聊到约会的地点、约会的时间、约会的人数等,即应用程序内将记载有文字类型、语音类型、图片类型的聊天内容,如,对方或用户在聊天中提到,“1月1日人民广场早上9点,不见不散”,该应用程序内记载有明显的与行程有关的行程时间“1月1日,早上9点”、行程地点“人民广场”,行程人物“聊天界面中的对方”,监控应用程序时,将监控应用程序的所有消息,当监测到例如上述的消息时,可读取此类消息,作为用户的行程信息。在上述实施例中,若应用程序内记载的为语音消息,同样可读取语音消息内记载的行程信息。具体地,用户接收到对方发来的语音消息,或是用户自身发出语音消息时,将获取上述语音消息,并对语音进行解析,转化为文字 形式,后与接收到文字消息类似地,提取出消息内含有的行程信息。再例如,当用户与对方聊天内发送或接收的为图片消息,将对图片进行转码,提取图片内含有的文字,并根据语言习惯排列,以搜集图片内的行程信息。
同样地,在读取智能终端的短信内的行程消息实施例中,将监控用户的短信模块,当用户收到一如:[铁路客服]订单EC1234567890,张三您已购1月1日G1111次1车1A号上海、9:00开。候车地点:候车室1的短信时,将读取该短信内的行程信息,包括行程时间“1月1日9:00”、行程地点“上海,候车地点:候车室1”、行程事宜“G1111次1车1A号”、其他信息“订单EC1234567890”。上述信息将被原封不动地读取,以备后用。
其他实施例中,当用户与其他用户在通话过程中谈及与行程有关的事项时,例如,上述应用程序、短信收到或发送的行程信息是通过电话中聊及的,将对电话进行监控,采集到与行程信息有关的语音时,将对其辨析,以读取语音中的文字信息。
在上述对语音进行识别的实施例中,当接收到一语音消息后,对语音消息的处理可具体地通过以下方式进行。由于声音实际上是一种波。常见的mp3等格式都是压缩格式,必须转成非压缩的纯波形文件来处理,比如Windows PCM文件,也就是俗称的wav文件。wav文件里存储的除了一个文件头以外,就是声音波形的一个个点了。在开始语音识别之前,有时需要把首尾端的静音切除,降低对后续步骤造成的干扰。这个静音切除的操作一般称为VAD,需要用到信号处理的一些技术。要对声音进行分析,需要对声音分帧,也就是把声音切开成一小段一小段,每小段称为一帧。分帧操作一般不是简单的切开,而是使用移动窗函数来实现。帧与帧之间一般是有交叠的,例如,每帧的长度为25毫秒,每两帧之间有25-10=15毫秒的交叠,称为以帧长25ms、帧移10ms分帧。分帧后,语音就变成了很多小段。但波形在时域上几乎没有描述能力,因此必须将波形作变换。常见的一种变换方法是提取MFCC特征,根据人耳的生理特性,把每一帧波形变成一个多维向量,可以简单地理解为这个向量包含了这帧语音的内容信息。这个过程叫做声学特征提取。至此,声音就成了一个12行(假设声学特征是12维)、N列的一个矩阵,称之为观察序列,这里N为总帧数。接下来就要需要把这个矩阵变成文本了。考虑到语言对文字的影响,在转化前,需要考虑:1)音素:单词的发音由音素构成。对英语,一种常用的音素集是卡内基梅隆大学的一套由39个音素构成的音素集。汉语一般直接用全部声母和韵母作为音素集,另外汉语识别还分有调无调。2)状态:可理解成比音素更细致的语音单位。通常把一个音素划分成3个状态。接下来,由三个小步骤进行帧处理: 把帧识别成状态;把状态组合成音素;把音素组合成单词。若干帧语音对应一个状态,每三个状态组合成一个音素,若干个音素组合成一个单词。也就是说,只要知道每帧语音对应哪个状态了,语音识别的结果也就出来了。后利用“声学模型”内存有的一大堆参数,通过这些参数,就可以知道帧和状态对应的概率。获取这一大堆参数的方法叫做“训练”,需要使用巨大数量的语音数据。继而使用隐马尔可夫模型(Hidden Markov Model,HMM),第一步,构建一个状态网络。第二步,从状态网络中寻找与声音最匹配的路径。这样就把结果限制在预先设定的网络中,再通过搭建状态网络,在状态网络中搜索一条最佳路径,语音对应这条路径的概率最大。路径搜索的算法是一种动态规划剪枝的算法,称之为Viterbi算法,用于寻找全局最优路径。这样基本上语音识别过程就完成了。
在上述收到图片消息的实施例中,对图片的处理可具体通过以下方式完成。通常对图片的处理可利用OCR完成,OCR是模式识别的一个领域,其过程整体来说可以分为以下几个步骤:
1)预处理:对包含文字的图像进行处理以便后续进行特征提取、学习。这个过程的主要目的是减少图像中的无用信息,以便方便后面的处理。在这个步骤通常有:灰度化(如果是彩色图像)、降噪、二值化、字符切分以及归一化这些子步骤。经过二值化后,图像只剩下两种颜色,即黑和白,其中一个是图像背景,另一个颜色就是要识别的文字了。降噪在这个阶段非常重要,降噪算法的好坏对特征提取的影响很大。字符切分则是将图像中的文字分割成单个文字——识别的时候是一个字一个字识别的。如果文字行有倾斜的话往往还要进行倾斜校正。归一化则是将单个的文字图像规整到同样的尺寸,在同一个规格下,才能应用统一的算法。
2)特征提取和降维:特征是用来识别文字的关键信息,每个不同的文字都能通过特征来和其他文字进行区分。对于数字和英文字母来说,这个特征提取是比较容易的,因为数字只有10个,英文字母只有52个,都是小字符集。对于汉字来说,特征提取比较困难,因为首先汉字是大字符集,国标中光是最常用的第一级汉字就有3755个;第二个汉字结构复杂,形近字多。在确定了使用何种特征后,视情况而定,还有可能要进行特征降维,这种情况就是如果特征的维数太高(特征一般用一个向量表示,维数即该向量的分量数),分类器的效率会受到很大的影响,为了提高识别速率,往往就要进行降维,这个过程也很重要,既要降低维数吧,又得使得减少维数后的特征向量还保留了足够的信息量(以区分不同的文字)。
3)分类器设计、训练和实际识别:分类器是用来进行识别的,就是对于第二步,对一个文字图像,提取出特征给,丢给分类器,分类器就对其进行分类,标识这个特征该识别成哪个文字。在进行实际识别前,往往还要对分类器进行训练,这是一个监督学习的案例。
4)后处理:后处理是用来对分类结果进行优化的,对汉字的识别,由于汉字中形近字的存在,很容易将一个字识别成其形近字。后处理中可以去解决这个问题,比如通过语言模型来进行校正——如果分类器将“在哪里”识别成“存哪里”,通过语言模型会发现“存哪里”是错误的,然后进行校正。第二个,OCR的识别图像往往是有大量文字的,而且这些文字存在排版、字体大小等复杂情况,后处理中可以尝试去对识别结果进行格式化,最后以真正实现图片消息内与行程信息有关的文字的读取。
S300:存储行程信息至行程数据库
具有上述直接性的文字消息、语音转换的间接文字消息及图片转换的间接文字消息后,将上述以文字消息为载体的行程信息存储至行程数据库。可以理解的是,行程数据库内存储的行程消息,可以是暂未作任何处理的行程消息,即读取智能终端内应用程序、电话和/或短信后直接得到的行程消息毫无修改地存储到行程数据库内,可免除存储前需对行程信息处理的步骤。
S400:提取行程信息中的行程要素
在此步骤中,将根据行程信息中不同的行程要素的类型进行提取。如上述实施例中,分别提取行程时间、行程地点、行程动作(事由)、行程人物等行程要素,并进行组合。组合方式可由多种,可根据行程时间、行程地点、行程人物、行程动作的顺序排列,最符合用户的阅读习惯。
S500:根据行程要素显示提醒信息
在智能终端的显示界面上,按照已排序的行程要素,进行显示,多个行程要素的组合形成了对用户的提醒信息。例如,在前述收到了“[铁路客服]订单EC1234567890,张三您已购1月1日G1111次1车1A号上海、9:00开,候车地点:候车室1”的实施例中,智能终端将显示“1月1日9:00,上海候车室1,G1111次1车1A号,张三,EC1234567890”的提醒消息,提醒用户后续的行程安排。可以理解的是,为起到提醒效果,提醒消息应当在行程时间前做出提醒,例如可前一周、前一天、前两个小时等就显示在智能终端的界面内。
具有上述配置后,用户无需再根据自己的安排手动记录行程,本发明实施例中的行 程管理方法将自动搜集和采集与用户有关的行程,并提前提醒,防止用户错过。
参阅图2,于智能终端内建立一行程数据库的步骤,具体包括有:
S101:获取智能终端内的存储空间
智能终端通常具有较多的存储量,为建立行程数据库,可向智能终端发出请求,占用部分存储量作为存储空间。
S102:分割存储空间为至少一个库名、数据包及数据大小值
考虑到智能终端可由多个用户共享使用,对存储空间将进行分割,按照库名、数据包及数据大小值为标准分成包括三部分的单元。库名,用以区分不同用户,数据包,存放不同用户的行程信息,数据大小值,用以控制存放数据的大小。
S103:集成每一组库名、数据包及数据大小值
针对一个用户,将一组库名、数据包及数据大小值合并,形成一个用户行程数据,后将所有用户的行程数据合并后,最终形成行程数据库。
参阅图3,一优选实施里中,读取智能终端内应用程序、电话和/或短信内的行程信息的步骤可具体包括:
S201:获取智能终端内应用程序、电话和/或短信的读取权限
随着智能终端领域的快速发展,由于行程信息涉及到应用程序、电话和短信的深层内容,为获取行程信息,需先向应用程序请求,获取读取其内容的权限。例如,对于应用程序而言,需要获取读取其消息的权限,对于电话模块而言,需要获取监听通话的权限,对于短信而言,需要获取发送和接收、以及读取短信的权限,上述权限,是形成行程信息的必要条件。
S202:提取应用程序、电话和/或短信内的信息或消息
取得权限后,应用程序、电话和/或短信内的消息将被提取,以作后用,提取方法可参照上文所述的直接提取或间接提取,在此不作赘述。
S203:筛选信息或消息
考虑到文字转换过程中的误差,通常对行程信息的提取的标准可设置的较松,以免遗漏重要的行程信息,但在提取后,需对应用程序、电话和/或短信的信息或消息进行筛选。例如,当接收到的信息为“中国男足以3∶0战胜韩国男足”时,由于其中的字符“3∶0”与表示时间的格式“3:00”相似,可认为中国男足在3点与韩国男足相约的错误理解,类似于此类的信息,将对其进行辨析和筛选,以形成最终的信息或消息内的行程信息。
参阅图4,在一优选实施例中,提取行程信息中的行程要素的步骤具体包括:
S301:建立行程要素提取策略
收集到行程信息后,可根据用户的需求建立一行程要素提取策略。例如,仅需要行程时间和行程地点,仅需要行程时间和行程人物等,从而决定后续所需要的行程要素。
S302:基于行程要素提取策略及字符特征解析行程信息
基于设定的行程要素提取策略,将解析行程信息,将行程信息中所包含的行程要素内容提取,其他无关内容删除,并一一对应地归类至行程时间、行程地点等。解析时,可根据字符特征来辨析,例如,信息内包含“年月日”的,通常为行程时间,信息内包含无意义字符组合的,可能为行程人物,信息内包含“市、区、路、号”等字符的,通常为行程地点。
S303:提取行程信息中的时间要素、地点要素、动作要素及人物要素
最后,将归类的各时间要素、地点要素、动作要素及人物要素提取整合,形成行程时间、行程地点、行程动作及行程人物,组合而成行程消息。
参阅图5,在一优选实施例中,根据行程要素显示一提醒信息的步骤具体包括有:
S401:建立一提醒信息的显示界面
在智能终端内,请求调取其屏幕上的全部或部分显示区域,作为显示界面。
S402:于行程时间前一预设时间展示显示界面
当获取了行程消息中的行程时间时,对其进行计时,并在该行程时间的基准上向前推算一预设时间,例如,一周前、一天前等,当推算时间达到时,展示该显示界面。
S403:于显示界面内顺序排列行程时间、行程地点、行程动作
根据用户的需求,对各行程要素进行排序,形成提醒信息。可以理解的是,提醒信息的展示不限于仅通过智能终端的屏幕展示,也可通过语音播报、信号灯频闪等方式转达,仅当用户触发取消提醒时,才可结束提醒,从而可视作用户已接收到提醒信息。
参阅图6,为符合本发明一优选实施例中基于智能终端的行程管理系统,其具体包括以下部件:
行程数据库。为对用户的行程进行管理,需要占用智能终端内的部分存储空间,可方便统筹规划或调用。对此,在智能终端的可存储、读取媒介内,建立有一行程数据库,内置有用户所有的行程,以及各行程的行程时间、行程地点、行程事项等。当需要提醒用户在某一时间内安排有某项事宜时,可自行程数据库内读取上述行程数据,并显示给用户,起到提醒作用。
行程信息读取模块,行程数据库建立完毕后,为省去用户自行输入行程时间、行程 地点、行程事项等数据至行程数据库的时间及动作,在该实施例中,还设有一行程信息读取模块,可读取智能终端内应用程序、电话和/或短信内的行程信息。具体地,以用户使用聊天工具类型的应用程序,当在与对方聊天的界面中,与对方相约会面,必然会聊到约会的地点、约会的时间、约会的人数等,即应用程序内将记载有文字类型、语音类型、图片类型的聊天内容,如,对方或用户在聊天中提到,“1月1日人民广场早上9点,不见不散”,该应用程序内记载有明显的与行程有关的行程时间“1月1日,早上9点”、行程地点“人民广场”,行程人物“聊天界面中的对方”,行程信息读取模块监控应用程序时,将监控应用程序的所有消息,当行程信息读取模块监测到例如上述的消息时,可读取此类消息,作为用户的行程信息。在上述实施例中,若应用程序内记载的为语音消息,同样可读取语音消息内记载的行程信息。具体地,用户接收到对方发来的语音消息,或是用户自身发出语音消息时,行程信息读取模块将获取上述语音消息,并对语音进行解析,转化为文字形式,后与接收到文字消息类似地,提取出消息内含有的行程信息。再例如,当用户与对方聊天内发送或接收的为图片消息,行程信息读取模块将对图片进行转码,提取图片内含有的文字,并根据语言习惯排列,以搜集图片内的行程信息。
同样地,在读取智能终端的短信内的行程消息实施例中,行程信息读取模块将监控用户的短信模块,当用户收到一如:[铁路客服]订单EC1234567890,张三您已购1月1日G1111次1车1A号上海、9:00开。候车地点:候车室1的短信时,行程信息读取模块将读取该短信内的行程信息,包括行程时间“1月1日9:00”、行程地点“上海,候车地点:候车室1”、行程事宜“G1111次1车1A号”、其他信息“订单EC1234567890”。上述信息将被行程信息读取模块原封不动地读取,以备后用。
其他实施例中,当用户与其他用户在通话过程中谈及与行程有关的事项时,例如,上述应用程序、短信收到或发送的行程信息是通过电话中聊及的,行程信息读取模块将对电话进行监控,采集到与行程信息有关的语音时,行程信息读取模块将对其辨析,以读取语音中的文字信息。
存储模块,具有上述直接性的文字消息、语音转换的间接文字消息及图片转换的间接文字消息后,存储模块将上述以文字消息为载体的行程信息存储至行程数据库。可以理解的是,存储模块存储的行程消息,可以是暂未作任何处理的行程消息,即读取智能终端内应用程序、电话和/或短信后直接得到的行程消息毫无修改地存储到行程数据库内,可免除存储前需对行程信息处理的步骤。
行程要素提取模块,将根据行程信息中不同的行程要素的类型进行提取。如上述实 施例中,行程要素提取模块分别提取行程时间、行程地点、行程动作(事由)、行程人物等行程要素,并进行组合。组合方式可由多种,可根据行程时间、行程地点、行程人物、行程动作的顺序排列,最符合用户的阅读习惯。
提醒信息显示模块,与所述行程要素提取模块连接,在智能终端的显示界面上,按照已排序的行程要素,进行显示多个行程要素的组合形成的提醒信息。
参阅图7,在一优选实施例中,行程数据库具体包括:
存储空间获取单元,智能终端通常具有较多的存储量,为建立行程数据库,存储空间获取单元向所述智能终端发出请求,以占用部分存储量作为存储空间。
分割单元,考虑到智能终端可由多个用户共享使用,分割单元对存储空间将进行分割,按照库名、数据包及数据大小值为标准分成包括三部分的单元。库名,用以区分不同用户,数据包,存放不同用户的行程信息,数据大小值,用以控制存放数据的大小。
集成单元,与所述分割单元连接,针对一个用户,集成单元将一组库名、数据包及数据大小值合并,形成一个用户行程数据,后将所有用户的行程数据合并后,最终形成行程数据库。
参阅图8,一优选实施例中,行程信息读取模块具体包括:
读取权限获取单元。由于行程信息涉及到应用程序、电话和短信的深层内容,为获取行程信息,需先向应用程序请求,获取读取其内容的权限。例如,对于应用程序而言,需要获取读取其消息的权限,对于电话模块而言,需要获取监听通话的权限,对于短信而言,需要获取发送和接收、以及读取短信的权限,上述权限,是形成行程信息的必要条件。因此,由读取权限获取单元向所述智能终端发送一权限请求,以获取所述智能终端内应用程序、电话和/或短信的读取权限。
消息提取单元。取得权限后,应用程序、电话和/或短信内的消息将被消息提取单元提取,以作后用。
消息筛选单元。与所述消息提取单元连接,考虑到文字转换过程中的误差,通常对行程信息的提取的标准可设置的较松,以免遗漏重要的行程信息,但在提取后,需由消息筛选单元对应用程序、电话和/或短信的信息或消息进行筛选。
参阅图9,在一优选实施例中,行程要素提取模块具体包括:
提取策略单元,设于所述行程要素提取模块内,在收集到行程信息后,提取策略单元可根据用户的需求建立一行程要素提取策略。例如,仅需要行程时间和行程地点,仅需要行程时间和行程人物等,从而决定后续所需要的行程要素。
行程信息解析单元。基于设定的行程要素提取策略,行程信息解析单元将解析行程信息,将行程信息中所包含的行程要素内容提取,其他无关内容删除,并一一对应地归类至行程时间、行程地点等。解析时,可根据字符特征来辨析。
行程要素提取单元,与所述行程信息解析单元连接,提取行程信息中的时间要素、地点要素、动作要素及人物要素,以形成行程时间、行程地点、行程动作、行程人物。
参阅图10,在一优选实施例中,提醒信息显示模块包括:
显示单元,在智能终端内,显示单元请求调取其屏幕上的全部或部分显示区域,作为显示界面。
提醒时间单元,当获取了行程消息中的行程时间时,提醒时间单元对其进行计时,并在该行程时间的基准上向前推算一预设时间,当推算时间达到时,展示该显示单元。
排序单元,与所述显示单元连接,根据用户的需求,对各行程要素进行排序,形成提醒信息。
在示例性实施例中,还提供了一种包括指令的非临时性计算机可读存储介质,例如包括指令的存储器,上述指令可由装置的处理器执行以完成上述方法。例如,所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的发明后,将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化,这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的,本公开的真正范围和精神由权利要求指出。
应当注意的是,本发明的实施例有较佳的实施性,且并非对本发明作任何形式的限制,任何熟悉该领域的技术人员可能利用上述揭示的技术内容变更或修饰为等同的有效实施例,但凡未脱离本发明技术方案的内容,依据本发明的技术实质对以上实施例所作的任何修改或等同变化及修饰,均仍属于本发明技术方案的范围内。

Claims (10)

  1. 一种基于智能终端的行程管理方法,其特征在于,包括以下步骤:
    于所述智能终端内建立一行程数据库;
    读取所述智能终端内应用程序、电话和/或短信内的行程信息;
    存储所述行程信息至所述行程数据库;
    提取所述行程信息中的行程要素,其中所述行程要素包括行程时间、行程地点、行程动作、行程人物中的一种或多种;
    根据所述行程要素显示一提醒信息。
  2. 如权利要求1所述的行程管理方法,其特征在于,
    于所述智能终端内建立一行程数据库的步骤包括:
    获取智能终端内的一存储空间;
    分割所述存储空间为至少一个库名、数据包及数据大小值;
    集成每一组所述库名、数据包及数据大小值,以形成一行程数据库。
  3. 如权利要求1所述的行程管理方法,其特征在于,
    读取所述智能终端内应用程序、电话和/或短信内的行程信息的步骤包括:
    获取智能终端内应用程序、电话和/或短信的读取权限;
    提取所述应用程序、电话和/或短信内的信息或消息;
    筛选所述信息或消息,以提取所述信息或消息内的行程信息。
  4. 如权利要求1所述的行程管理方法,其特征在于,
    提取所述行程信息中的行程要素的步骤包括:
    建立一行程要素提取策略;
    基于行程要素提取策略及字符特征解析所述行程信息;
    提取所述行程信息中的时间要素、地点要素、动作要素及人物要素,以形成所述行程时间、行程地点、行程动作、行程人物。
  5. 如权利要求1所述的行程管理方法,其特征在于,
    根据所述行程要素显示一提醒信息的步骤包括:
    建立一提醒信息的显示界面;
    于所述行程时间前一预设时间展示所述显示界面;
    于所述显示界面内顺序排列所述行程时间、行程地点、行程动作,形成所述提醒信息。
  6. 一种基于智能终端的行程管理系统,其特征在于,包括:
    行程数据库,建立于所述智能终端内;
    行程信息读取模块,读取所述智能终端内应用程序、电话和/或短信内的行程信息;
    存储模块,分别与所述行程数据库及行程信息读取模块连接,将所述行程信息存储至所述行程数据库;
    行程要素提取模块,提取所述行程信息中的行程要素,其中所述行程要素包括行程时间、行程地点、行程动作、行程人物中的一种或多种;
    提醒信息显示模块,与所述行程要素提取模块连接,根据所述行程要素显示一提醒信息。
  7. 如权利要求6所述的行程管理系统,其特征在于,
    所述行程数据库包括:
    存储空间获取单元,向所述智能终端发出请求,以获取一存储空间;
    分割单元,将所述存储空间分割为至少一个库名、数据包及数据大小值;
    集成单元,与所述分割单元连接,集成每一组所述库名、数据包及数据大小值。
  8. 如权利要求6所述的行程管理系统,其特征在于,
    所述行程信息读取模块包括:
    读取权限获取单元,向所述智能终端发送一权限请求,以获取所述智能终端内应用程序、电话和/或短信的读取权限;
    消息提取单元,提取应用程序、电话和/或短信内的信息或消息;
    消息筛选单元,与所述消息提取单元连接,筛选所述信息或消息,以提取所述信息或消息内的行程信息。
  9. 如权利要求6所述的行程管理系统,其特征在于,
    所述行程要素提取模块包括:
    提取策略单元,设于所述行程要素提取模块内,提供有一行程要素提取策略;
    行程信息解析单元,基于行程要素提取策略及字符特征解析所述行程信息;
    行程要素提取单元,与所述行程信息解析单元连接,提取所述行程信息中的时间要素、地点要素、动作要素及人物要素,以形成所述行程时间、行程地点、行程动作、行程人物。
  10. 如权利要求6所述的行程管理系统,其特征在于,
    所述提醒信息显示模块包括:
    显示单元,提供有一提醒信息的显示界面;
    提醒时间单元,内设有一预设时间,于所述行程时间前一预设时间展示所述显示界面;
    排序单元,与所述显示单元连接,于所述显示界面内顺序排列所述行程时间、行程地点、行程动作,形成所述提醒信息。
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CN113158683A (zh) * 2021-04-15 2021-07-23 平安国际智慧城市科技股份有限公司 重要事项提醒方法、装置、电子设备及计算机存储介质
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