CN115862677A

CN115862677A - Journey investigation method, device, computing equipment and medium

Info

Publication number: CN115862677A
Application number: CN202211436289.2A
Authority: CN
Inventors: 涂贤玲; 曾亮
Original assignee: Beijing SoundAI Technology Co Ltd
Current assignee: Beijing SoundAI Technology Co Ltd
Priority date: 2022-11-16
Filing date: 2022-11-16
Publication date: 2023-03-28

Abstract

The embodiment of the disclosure provides a travel survey method, a travel survey device, computing equipment and a medium. The travel survey method comprises the following steps: acquiring voice data fed back by a called person, wherein the voice data comprises fed back travel information; extracting semantic content of the voice data to obtain the fed-back travel information; performing data analysis based on the fed-back travel information, and judging whether the travel information is missing or not according to a data analysis result; and under the condition that the missing trip information is judged, generating corresponding first prompt data based on the missing trip information, wherein the first prompt data is used for guiding the called person to continue to feed back the trip information in a voice mode. According to the scheme provided by the embodiment of the disclosure, on the premise that the automatic journey survey of the called person is realized based on the automatic outbound system, the obtained journey survey data can be ensured to be complete, and further the historical journey of the called person can be reflected more accurately.

Description

Journey investigation method, device, computing equipment and medium

Technical Field

The disclosure relates to the technical field of data processing, in particular to a travel survey method and device, a computing device and a storage medium.

Background

In the case of discovering the spread of epidemic, in order to quickly determine the spread path and spread range of epidemic, epidemiological investigation (called epidemiology for short) needs to be performed on the confirmed cases or suspected cases. In the process of tone streaming, the most common method of tone streaming is the telephone survey method.

In order to improve the flow regulation efficiency and reduce the problem that the flow regulation time is long and the epidemic prevention and control policy cannot be rapidly formulated due to shortage of personnel, an outbound call system is adopted to replace manual dialing of the telephone of a person to be regulated at present, so that information collection and travel survey of the person to be regulated are realized. However, it is found that most of the travel surveys have a problem of missing data by analyzing the travel data obtained by the travel survey of the called person by the outbound system, and the travel data does not satisfy the requirement of making a flow regulation report.

Disclosure of Invention

In order to solve the technical problem, embodiments of the present disclosure provide a trip investigation method, an apparatus, a computing device, and a medium.

In a first aspect, an embodiment of the present disclosure provides a journey investigation method applied to an automatic outbound system, including:

acquiring voice data fed back by a called person, wherein the voice data comprises fed back travel information;

extracting semantic content of the voice data to obtain the fed-back travel information;

performing data analysis based on the fed-back travel information, and judging whether the travel information is missing or not according to a data analysis result;

and when the missing travel information is judged to exist, generating corresponding first prompting data based on the missing travel information, wherein the first prompting data is used for guiding the called person to continuously feed back the travel information in a voice mode.

Optionally, the analyzing data based on the fed-back trip information, and determining whether there is missing trip information according to a data analysis result, includes:

determining a covered travel time period according to time characteristic information in the fed-back travel information, wherein the covered travel time period is a time period in which the called person has fed back a travel through voice data;

comparing a target survey time interval with the covered journey time interval, and determining whether an uncovered journey time interval exists, wherein the target survey time interval is the whole time interval needing journey survey, and the uncovered journey time interval is the journey time interval which is not fed back by the dispatched person;

determining that the missing trip information exists under the condition that the uncovered trip time interval exists;

before generating corresponding first prompt data based on the missing trip information, the method further includes: and taking the uncovered journey time period as the missing journey information.

Optionally, the performing data analysis based on the fed-back trip information, and determining whether there is missing trip information according to a data analysis result includes:

determining an existing travel location according to location characteristic information in the fed-back travel information, wherein the existing travel location is a travel location of a certain travel fed back by the called person;

judging whether the existing travel location is the minimum unit location according to a preset location judgment rule or map information;

determining that the missing trip information exists in a case where the existing trip location is not the minimum unit location;

before generating corresponding first prompt data based on the missing trip information, the method further comprises: determining the missing trip information based on the existing trip location.

determining the distance of the travel places according to the position information of the travel places in two adjacent travel time periods in the fed-back travel information;

judging whether the dispatched person needs to take a vehicle or not according to the distance of the travel place;

determining missing travel information in the case that the dispatched person needs to take a vehicle and the travel information in the two adjacent travel time periods has no vehicle information;

before generating corresponding first prompt data based on the missing trip information, the method further comprises: and using the vehicle information as the missing journey information.

Optionally, in a case where it is determined that the person to be dispatched needs to take a vehicle, the method further includes:

estimating the type of the vehicle taken by the dispatched person according to the distance and/or the travel location of the two adjacent time intervals and the two adjacent travel time intervals;

under the condition that the travel information of the two adjacent travel time periods comprises vehicle information, judging whether the vehicle information is matched with the estimated vehicle type;

and generating second prompt data when the information of the vehicle is not matched with the estimated vehicle type, wherein the second prompt data is used for prompting the dispatched person to confirm whether the information of the vehicle is correct or not.

determining a fed-back journey according to the fed-back journey information, and predicting a journey intention of the dispatched person based on the fed-back journey;

analyzing the fed-back travel information based on the type of the travel intention, and judging whether missing travel information associated with the fed-back travel is missing or not;

before generating corresponding first prompt data based on the missing trip information, the method further comprises: determining the missing trip information according to the trip intent.

Optionally, analyzing the fed-back trip information based on the type of the trip intention, and determining whether missing trip information associated with the fed-back trip is missing, including:

analyzing the fed-back journey based on the type of the journey intention, and determining whether other people with action intersection with the called person and/or more accurate journey positions should be included in the fed-back journey;

determining that missing trip information associated with the fed-back trip is missing in the event that it is determined that the fed-back trip does not include other people and/or more accurate trip locations with which the called person has action intersections;

the determining the missing trip information according to the trip intent includes: and taking the information of other persons with action intersection with the adjusted person and/or more accurate travel place information as the missing travel information.

Optionally, the method further includes:

determining travel time periods of a plurality of travels according to time characteristic information in the fed-back travel information;

judging whether the travel time periods of the plurality of travels have overlapping time periods;

under the condition that the travel time periods of the multiple travels are judged to have the overlapping time period, judging whether the duration of the overlapping time period exceeds the set duration;

and under the condition that the time length of the overlapping time period exceeds a set time length, generating third prompt data based on the abnormal time period, wherein the third prompt data is used for prompting the dispatched person to verify the fed-back travel information.

In a second aspect, an embodiment of the present disclosure provides a journey investigation apparatus, applied to an automatic outbound call system, including:

the voice data acquisition unit is used for acquiring voice data fed back by the called person, and the voice data comprises fed back travel information;

the information extraction unit is used for extracting semantic content of the voice data to obtain the fed-back travel information;

the information analysis unit is used for carrying out data analysis based on the fed-back travel information and judging whether the travel information is missing or not according to a data analysis result;

and the prompting unit is used for generating first prompting data based on the missing travel information under the condition that the missing travel information is judged, and the prompting voice is used for guiding the called person to continue to feed back the travel information in a voice mode.

In a third aspect, the disclosed embodiments provide a computing device comprising a processor and a memory for storing a computer program; the computer program, when loaded by the processor, causes the processor to perform the trip investigation method as described above.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement the trip investigation method as described above.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

by adopting the scheme provided by the embodiment of the disclosure, after the voice data fed back by the called person is obtained, the route information fed back by the called person is obtained by extracting the voice content of the voice book, and then data analysis is carried out according to the route information fed back to determine whether missing route information exists. And under the condition that the missing travel information is judged, generating corresponding first prompt data according to the missing travel information so as to realize the prompt of the person to be dispatched by utilizing the first prompt data, and then enabling the person to be dispatched to feed back the missing travel information. That is to say, the scheme provided by the embodiment of the disclosure can ensure that the obtained journey survey data is complete on the premise that the journey survey of the called person is automatically realized based on the automatic outbound system, and further can more accurately reflect the historical journey of the called person.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art that other drawings can be obtained from these drawings without inventive exercise, wherein:

FIG. 1 is a flow chart of a method for itinerary survey provided by an embodiment of the disclosure;

FIG. 2 is a flow diagram of a method of determining missing trip information;

FIG. 3 is a flow chart of another method of determining missing trip information;

FIG. 4 is a flow chart of yet another method of determining missing trip information;

FIG. 5 is a flow chart of yet another method of determining missing trip information;

fig. 6 is a schematic structural diagram of a travel survey device provided in the embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a computing device provided by some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The embodiment of the disclosure provides a journey investigation method and a device, which are used in an automatic outbound system to guide a called person to complete journey investigation and prompt the called person to complete data completion under the condition of incomplete journey investigation data. The travel survey method provided by the embodiment of the disclosure can be applied to flow dispatching, and the automatic survey of high-risk personnel (namely dispatched personnel) in the flow dispatching is realized. Of course, the journey investigation method provided by the embodiment of the disclosure can also be applied to other fields, such as police fields and the like, so as to realize journey investigation of corresponding called personnel. The journey investigation method provided by the embodiment of the disclosure can be executed by a computing device.

Fig. 1 is a flowchart of a method for travel survey according to an embodiment of the present disclosure. As shown in fig. 1, the trip investigation method provided by the embodiment of the present disclosure includes S110 to S140.

S110: and acquiring the voice data fed back by the called person, wherein the voice data comprises the fed-back travel information.

In the embodiment of the disclosure, after the computing device initiates a call to the called person by using the automatic outbound system, determines the identity information and other information of the called person, and receives the voice data fed back by the called person, the computing device may start to inquire the journey information of the called person. In the case where the trip survey method is applied to flow regulation, the aforementioned other information includes contact information, home address, physical health status, nucleic acid or antigen detection status, vaccine injection status, and the like.

After the computing device starts to inquire the journey information of the called person, namely after the called person hears the journey information inquiry voice, the called person feeds back the journey information by adopting a voice feedback mode. And at the moment, the terminal equipment owned by the called person obtains the voice signal fed back by the called person, codes the voice signal to obtain voice data, and sends the coded voice data to the computing equipment. Since the voice data is data for representing the called person to feed back his/her trip, the voice data includes trip information fed back by the called person, that is, includes the fed-back trip information.

In particular practice, the fed-back trip information may include the following: journey time interval, journey place, journey intersection personnel; in the case where the travel period is a period of riding a vehicle, the fed-back travel information may further include type information of the vehicle, origin and destination information, and the like.

The computing device can obtain the voice data through communicating with a terminal device held by a called person.

S120: and extracting semantic content of the voice data to obtain fed-back travel information.

In an embodiment of the disclosure, a natural language understanding module is deployed in a computing device. After the voice data is obtained, the computing equipment calls a natural language processing module to extract the content of the voice data, and fed back travel information is obtained.

In particular implementations, a computing device may deploy natural speech understanding modules of various model architectures that have been provided in the prior art to enable semantic content extraction of speech data. Since natural speech understanding is not a core point concerned in the present application, how to extract semantic content from speech data by using a natural speech understanding module is not needed here, and specific content can be referred to in the existing technical literature.

It should be noted that the fed-back trip information obtained by processing the semantic data by the computing device by using the natural speech understanding module is not necessarily the trip information which is intended to be expressed by the speech data of the called person, but the accuracy of the obtained fed-back trip information reaches the available requirement.

S130: performing data analysis based on the fed-back travel information, and judging whether the travel information is missing or not according to a data analysis result; if yes, go to step S140.

After the fed-back travel information is obtained, the computing equipment then performs data analysis on the fed-back travel information by adopting a preset data analysis method to obtain a data analysis result. After obtaining the data analysis results, the computing device may determine whether there is missing trip information based on the data analysis results.

The missing trip information is trip information that has not been fed back by the person being called. If there is missing trip information, the trip data obtained by the trip survey of the person to be called is incomplete. The specific calculation equipment adopts which data analysis method, performs data analysis based on which information in the fed-back travel information, and judges whether the travel information is missing or not according to the data analysis result, and then performs expansion analysis in the following text.

S140: and generating corresponding first prompt data based on the missing travel information, wherein the prompt voice is used for guiding the called person to continue to feed back the travel information in a voice mode.

As described above, if the travel information is missing, the travel data obtained by the travel survey of the person to be called is incomplete. Such incompleteness may be that the callee forgets to feed back some travel information, or that the callee does not know what type of travel information should be fed back.

In order to prompt the called person to continue to feed back the journey information and further prompt the journey person to recall the missing journey information or realize that the missing journey information should be provided, the computing equipment generates corresponding first prompt data according to the missing journey information so as to guide the called person to continue to feed back the journey information in a voice mode by using the first prompt data.

Specifically, the computing device sends the first prompt data to the terminal device held by the called person after generating the first prompt data according to the missing trip information. After the terminal equipment acquires the first prompt data, a prompt signal is generated based on the first prompt data, so that the person to be dispatched can receive the first prompt data and can feed back the travel information corresponding to the first prompt data in a voice mode. How the computing device generates the first prompt data based on the missing trip information and what first prompt data is generated is related to the type of the missing trip information, and therefore, the analysis is performed on this portion later.

According to the journey investigation method provided by the embodiment of the disclosure, after voice data fed back by the called person is obtained, the voice content of the voice book is extracted to obtain the journey information fed back by the called person, and then data analysis is carried out according to the journey information fed back to determine whether missing journey information exists. And under the condition that the missing travel information is judged, generating corresponding first prompt data according to the missing travel information so as to realize the prompt of the called person by using the first prompt data, and then enabling the called person to feed back the missing travel information.

By adopting the journey investigation method provided by the embodiment of the disclosure, on the premise of automatically investigating the journey of the called person based on the automatic outbound system, the obtained journey investigation data can be ensured to be complete, and further the historical journey of the called person can be reflected more accurately.

In the foregoing, in step S130, it is determined whether there is missing trip information according to the data analysis result, and if there is missing trip information, in step S140, corresponding first prompt data is generated based on the missing trip information. If it is determined from the data analysis result that the trip information is not missing, the trip survey can be ended.

As stated above, in the embodiment of the present disclosure, in step S130, data analysis is performed based on the fed-back trip information, and it is determined whether there is missing trip information according to the data analysis result. Depending on the circumstances, the computing device may determine various types of missing travel information, such as missing travel periods, missing travel locations, missing intersecting people, missing vehicles to reach from one travel location to another. However, the methods for determining various missing trip information are different, and the following analysis is made for various methods for determining missing trip information.

Fig. 2 is a flow chart of a method of determining missing trip information. As shown in fig. 2, the method of the computing device determining missing trip information in some embodiments includes S210-S230.

S210: and determining the covered travel time period according to the time characteristic information in the fed-back travel information.

The covered journey time interval is the time interval when the dispatched person has fed back the journey through voice data. The calculation equipment determines covered travel time periods according to the time characteristics in the fed-back travel information, maps all the time characteristic information in the fed-back travel information onto a time axis, and determines which time periods on the time axis are the time periods occupied by the feedback travel of the user as the covered travel time periods.

S220: comparing the target investigation time period with the covered journey time period, and determining whether the uncovered journey time period exists; if yes, go to step S230.

S230: and judging that the missing trip information exists.

The target survey period is the entire period in which the trip survey is required. For example, when the travel survey is a current time, the time period in which the current time is estimated to be 7 days ahead, and the 7 days are the target survey time period. And comparing the target survey time period with the covered journey time period to determine whether the uncovered journey time period exists, wherein the time periods in the target survey time period are not overlapped with the covered journey time period, and the uncovered journey time period is taken as the uncovered journey time period.

In particular implementations, since the person being called may not be able to accurately recall the particular time period of each trip, it may occur that some shorter time period is considered an uncovered trip period. In this case, the computing device may delete such a shorter period of time without treating it as an uncovered journey period. In other implementations, the computing device may also align the time feature in the fed-back trip information to a near punctual moment to avoid the short time period problem described above.

If it is determined that there is an uncovered journey period, it may be determined that journey information is missing. It should be noted that in the case where it is determined that the travel period is not uncovered, it cannot be determined that the travel information is not missing. That is, absence of an uncovered run period is a sufficiently unnecessary condition for missing run information.

After determining that the missing trip information exists, S140 further needs to generate corresponding first prompt information based on the missing trip information. In order to be able to perform S230 to determine that there is missing trip information, to implement S140, the computing device may use the uncovered trip time period as the missing trip information, and then determine corresponding first prompt data.

In a specific implementation, the computing device generates corresponding first prompt data according to the uncovered journey time period, which may be the uncovered journey time period as the first prompt data. For example, if the callee does not inform about the 5-8 pm itinerary, the text meaning corresponding to the first reminder data generated by the computing device may be similar to "the 5-8 pm itinerary has not been informed".

Fig. 3 is a flow chart of another method of determining missing trip information. As shown in fig. 3, in some embodiments the method of the computing device determining missing trip information includes S310-S330.

S310: and determining the position of the existing journey according to the position characteristic information in the fed-back journey information.

The existing travel position is the travel position of a certain travel fed back by the called person. And determining the existing trip location according to the address characteristic information in the fed-back trip information, namely extracting the information with the address characteristics in the fed-back trip information, and determining which address characteristic information is the trip location corresponding to the user trip through semantic analysis or syntactic analysis.

S320: judging whether the existing travel place is the minimum unit place or not according to a preset place judgment rule or map information; if not, go to S330.

S330: and judging that the missing trip information exists.

The preset place judgment rule is a rule such as: (1) If the travel location of the user is in a certain cell, the corresponding minimum unit location should be a certain building of the cell or a certain unit of a certain building; (2) If the user's travel location is an office building, the corresponding minimum unit location should be a floor of the office building. Judging whether the existing travel location is the minimum unit location according to a preset location judgment rule, wherein the steps are as follows: and if the existing travel place provided by the called person is the garden community and is not specific to a certain building of the garden community, determining that the existing travel place is not the minimum unit place. If the existing trip location provided by the called person is a national trade building but is not specific to a certain level of the national trade building, then it is determined that the existing trip address is not the minimum unit location.

The map information includes information of size and position within a certain area. And judging whether the existing travel place is the minimum unit place or not according to the map information, and determining whether the existing travel place is small enough or not according to the map information. For example: if the existing trip location provided by the called person is a sea area, but the sea area is 431 square kilometers according to the map information, the area is too large to have statistical significance for the trip, and the existing trip location is not the minimum unit location.

By adopting the steps S310-S330, the travel location provided by the called person can be restricted to the minimum unit location, so that the location information in the travel survey data is more specific, namely, the travel survey is more accurate.

It should be noted that if it is determined that the existing trip location is the minimum unit location, the missing trip information may be determined. It should be noted that in the case where it is determined that the travel period is not uncovered, it cannot be determined that the travel information is not missing. That is, the existing trip location is not the minimum unit location, which is a sufficient unnecessary condition for missing trip information.

In the case where the missing trip information is determined using the aforementioned S310-S330, the computing device may determine the missing trip information based on the existing trip locations. For example, if the existing travel location provided by the called person is the sea area, the missing travel information is "specific location of sea area", and correspondingly, the text meaning corresponding to the first prompt data may be similar to "where the XXX period reaches the sea area".

Fig. 4 is a flow chart of yet another method of determining missing trip information. As shown in fig. 4, the method of the computing device determining missing trip information in some embodiments includes S410-S430.

S410: and determining the distance of the travel places according to the position information of the travel places in two adjacent travel time periods in the fed-back travel information.

After the calculation device obtains the fed-back travel information, time axis arrangement is carried out on the fed-back travel information, the travel time period of each travel is determined, and the travel location of the adjacent travel is determined. After the travel places of the adjacent travels are obtained, the computing device determines the distance between the adjacent travel places by inquiring the map information.

S420: judging whether the person to be dispatched needs to take a vehicle or not according to the distance of the travel place; if yes, go to step S430.

S430: judging whether the travel information of two adjacent travel time periods comprises vehicle information or not; if not, go to S440.

S440: and judging the missing trip information.

According to daily experience, the dispatched person can reasonably select a travel mode according to the distance between the travel places in two adjacent travels. If the two travel locations are close, for example within 1km, there is a high probability that the person being dispatched will walk from one travel location to the other. And if the distance is more than 10km, the person to be dispatched can ride the vehicle to arrive at another journey position with high probability.

The computing device may then query the travel information for two adjacent travel periods for vehicle information. If there is no vehicle information, it is determined that the trip information is missing.

In the case where the missing trip information is determined, the computing device may treat the vehicle information as the missing trip information before generating corresponding first prompt data based on the missing trip information.

In practical implementation, even if the called person provides the vehicle type, the vehicle type is not correct due to reasons of thinking inertia or memory ambiguity of the called person and the like. In this case, the survey data may be erroneous and affect the appropriateness of subsequent decisions. In some embodiments, to avoid various problems caused by the dispatched person providing the wrong vehicle, the computing device may also perform S450 and S460-S470.

S450: and estimating the type of the vehicle taken by the dispatched person according to the distance and/or the journey position of two adjacent time intervals and the journey time interval.

In the case where it is determined at S430 that the travel information of the adjacent two travel periods includes the vehicle information, S460 is performed.

S460: judging whether the vehicle information is matched with the estimated vehicle type; if not, go to step S470.

S470: and generating second prompt data, wherein the second prompt data is used for prompting the dispatched personnel to confirm whether the vehicle information is correct or not.

The general method for estimating the type of vehicle taken by the person to be dispatched according to the distance between two adjacent time intervals and the travel time interval is as follows: firstly, determining the distance and/or the travel location of two adjacent time periods, and judging whether the two travel locations are in the same area; the same area may be an area determined based on the administrative division, or a specific area defined at the previous travel location. And estimating the type of the transportation means which the dispatched person may ride according to the two journey places when the two journey places are judged to be in the same area. For example, if the forward trip location is a customs in the sea area and the backward trip location is a government premises in a dense cloud area, then the types of possible vehicles are private cars, taxis, subways + buses, or buses only.

The computing device may then select the type of vehicle in which the adjusted person is to be seated from among the possible types of vehicles according to the travel periods of the two adjacent travel periods and the aforementioned distance and/or travel location, as well as the length of the travel period. Still taking the example that the dispatched person reaches the government premises in the dense cloud district from the central village as described above, if the travel time period is 1.5 hours, the dispatched person cannot take public tools such as subway + bus or bus, but only can take private cars or taxis.

In the case where it is judged that the vehicle information does not match the estimated vehicle type at execution of S460, second prompt data is generated by executing S470, and the callee is prompted with the second prompt data to determine whether the provided vehicle information is correct.

Fig. 5 is a flow chart of yet another method of determining missing trip information. As shown in fig. 5, the method of the computing device determining missing trip information in some embodiments includes S510-S520.

S510: and determining a fed-back journey according to the fed-back journey information, and predicting the journey intention of the dispatched person based on the fed-back journey.

S520: and analyzing the fed-back travel information based on the type of the travel intention, and judging whether the missing travel information associated with the fed-back travel is missing.

And determining the fed-back travel according to the fed-back travel information, namely determining a travel location and a travel time interval according to the fed-back travel information. And then predicting the journey intention of the dispatched person based on the fed-back journey, wherein the purpose of the dispatched person to reach the journey place is estimated according to the journey place and the journey time period. The aforementioned intents include: hospitality, prospecting, dining, gathering, meeting, recreation, or shopping. For example, if the journey place of the dispatched person is a hospital, the journey intention of the dispatched person is hospitalized or visited with a high probability; if the journey place of the dispatched person is a certain leisure square and the journey time period is 0.5 hours in duration, the dispatched person has a high probability of shopping as the journey intention.

After determining the type of the journey intention of the called person, the fed-back journey information can be analyzed according to the type of the journey intention to judge whether the associated missing journey information is missing. For example, if the journey of the dispatched person is intended to be a medical doctor or a visit, the dispatched person must contact with other people or reach a certain department or ward, and the journey information should have the information of the intersection person or the aforementioned department and ward information. And if the fed-back trip information does not have such information, determining that the missing trip information associated with the fed-back trip is missing.

In a case where the missing trip information is determined, the computing device determines an information type of the missing trip information according to the trip intent before generating corresponding first prompt data based on the missing trip information. For example, if the travel location of the called person is a hospital, the travel intention of the called person is a medical doctor or a visit with a high probability, but the feedback travel information does not include intersection persons or reached department ward information, and the intersection persons or the reached department ward information is used as the missing travel information.

Based on the foregoing analysis, S520 includes S521-S522 in a specific implementation.

S511: analyzing the fed-back journey based on the type of the journey intention, and determining whether other people with action intersection with the called person and/or more accurate journey positions should be included in the fed-back journey;

s520: in the event that it is determined that the fed-back trip does not include other people with action intersections with the called person and/or a more accurate trip location, missing trip information associated with the fed-back trip is determined.

In the event that missing trip information is determined, the computing device may determine the missing trip information according to the trip intent prior to generating corresponding first prompt data based on the missing trip information. Specifically, the computing device may use information of other people with action intersections with the person being called and/or more accurate trip location information as missing trip information.

In some embodiments, the computing device may perform S610-S640 as follows, in addition to the aforementioned methods of determining missing trip information and generating first prompt data.

S610: and determining the travel time periods of a plurality of travels according to the time characteristic information in the fed-back travel information.

The calculation device determines the journey time periods of a plurality of journeys according to the time information in the fed-back journey information, extracts the journeys and the corresponding times in the fed-back journey information, and determines the journey time periods of the journeys based on the corresponding times.

S620: judging whether the travel time periods of a plurality of travels have overlapping time periods; if yes, go to S530.

S630: judging whether the duration of the overlapping time period exceeds a set duration or not; if yes, go to S640.

S640: third prompt data is generated based on the abnormal period.

After determining the travel periods for each of the trips, the computing device will project the travel periods for each of the trips onto a time axis and determine whether there are overlapping periods based on the time relationship of the travel periods on the time axis. If the travel time periods of two strokes overlap, then the overlapping time period is determined and whether the duration of the overlapping time period exceeds the set duration is determined. And if the time length of the overlapped time period exceeds the set time length, judging that the journey information fed back by the called person conflicts with each other, and at least one journey information is wrong. If the dispatched person is determined to have a conflict in the fed-back travel information, the dispatched person needs to be prompted to verify the fed-back travel information, and therefore the travel information error is eliminated.

In addition to providing the foregoing interface testing method, an embodiment of the present disclosure further provides a trip investigation apparatus 600. Fig. 6 is a schematic structural diagram of a travel survey device provided in an embodiment of the present disclosure. As shown in fig. 6, the travel survey apparatus 600 includes a voice data acquisition unit 601, an information extraction unit 602, an information analysis unit 603, and a presentation unit 604.

The voice data acquisition unit 601 is used for acquiring voice data fed back by the called person, wherein the voice data comprises fed back travel information; the information extraction unit 602 is configured to perform semantic content extraction on the voice data to obtain fed-back trip information; the information analysis unit 603 is configured to perform data analysis based on the fed-back trip information, and determine whether there is missing trip information according to a data analysis result; the prompting unit 604 is configured to generate first prompting data based on the missing trip information when it is determined that the missing trip information exists, and prompt voice for guiding the person to be called to continue to feed back the trip information in a voice manner.

In some embodiments, the information analysis unit 603 includes a period determination subunit and a missing information determination subunit. The time interval determining subunit is used for determining covered travel time intervals according to the time characteristic information in the fed-back travel information, wherein the covered travel time intervals are time intervals when the called person feeds back the travel through voice data; and comparing the target survey time period with the covered journey time period, and determining whether the uncovered journey time period exists, wherein the target survey time period is the whole time period needing journey survey, and the uncovered journey time period is the journey time period which is not fed back by the dispatched person. The missing information determination subunit is configured to determine that there is missing trip information in the case where there is an uncovered trip time period. Correspondingly, the prompting unit 604 takes the uncovered journey time interval as the missing journey information.

In some embodiments, the information analysis unit 603 comprises a location determination subunit and a missing information determination subunit. The location determining subunit determines an existing travel location according to the location characteristic information in the fed-back travel information, wherein the existing travel location is a travel location of a certain travel fed back by the called person; and judging whether the existing travel point is the minimum unit point according to a preset point judgment rule or map information. The missing information determination subunit determines that there is missing trip information when the existing trip location is not the minimum unit location. Correspondingly, the prompting unit 604 determines the missing trip information based on the existing trip locations.

In some embodiments, the information analysis unit 603 includes a distance determination subunit, a vehicle determination subunit, and a missing information determination subunit. And the distance determining subunit determines the distance of the travel places according to the position information of the travel places in two adjacent travel time periods in the fed-back travel information. The vehicle judgment subunit judges whether the person to be dispatched needs to take the vehicle or not according to the distance of the travel place. The missing information determination subunit determines that the trip information is missing in a case where the vehicle determination subunit determines that the person to be dispatched needs to take the vehicle and the trip information in the adjacent two trip periods does not have the vehicle information. Correspondingly, the prompting unit 604 takes the vehicle information as the missing trip information.

In some embodiments, the vehicle judgment subunit is further configured to predict the type of the vehicle in which the person to be dispatched is to sit according to the distance and/or the travel location of two adjacent time periods and the two adjacent travel time periods; and judging whether the traffic information is matched with the estimated traffic type or not under the condition that the travel information of the two adjacent travel time periods comprises the traffic information. Correspondingly, the prompting unit 604 is further configured to generate second prompting data in a case that the information of the vehicle does not match the estimated vehicle type, where the second prompting data is used to prompt the dispatched person to confirm whether the information of the vehicle is correct.

In some embodiments, the information analysis unit 603 comprises an intent determination subunit, a missing information determination subunit. The intention determining subunit determines a fed-back journey according to the fed-back journey information and predicts a journey intention of the dispatched person based on the fed-back journey. The missing information determination subunit analyzes the fed-back trip information based on the type of the trip intention, and judges whether missing trip information associated with the fed-back trip is missing. In the case where the missing information determination subunit determines that missing trip information associated with the fed-back trip is missing, the presentation unit 604 determines the missing trip information according to the trip intention.

In some embodiments, the missing information determination subunit analyzes the fed-back journey based on the type of journey intent, determines whether other persons with action intersection with the person being called and/or more accurate journey locations should be included in the fed-back journey; in the event that it is determined that the fed-back trip does not include other people with action intersections with the called person and/or a more accurate trip location, missing trip information associated with the fed-back trip is determined. Correspondingly, the prompting unit 604 takes the information of other persons having action intersection with the called person and/or more accurate travel location information as the missing travel information.

In some embodiments, the time period determining subunit is further configured to determine the travel time periods of the plurality of travels according to the time characteristic information in the fed-back travel information; and judging whether the travel time periods of the plurality of travels have overlapping time periods. The trip investigation apparatus 600 further includes a time length determination unit that determines whether or not the time length of the overlapping period exceeds a set time length in a case where it is determined that there is an overlapping period in the trip periods of the plurality of trips. The prompting unit 604 is further configured to generate third prompting data based on the abnormal time period in a case that the overlapping time period duration exceeds the set time period, where the second prompting data is used for prompting the person to be debugged to verify the fed-back travel information.

The embodiment of the disclosure also provides a computing device for implementing the travel survey method. Fig. 7 is a schematic structural diagram of a computing device provided by some embodiments of the present disclosure. Referring now in particular to FIG. 7, a schematic diagram of a computing device 700 suitable for use in implementing embodiments of the present disclosure is shown. The computing device illustrated in fig. 7 is only one example and should not impose any limitations on the functionality or scope of use of embodiments of the disclosure.

As shown in fig. 7, computing device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a read only memory ROM702 or a program loaded from storage 708 into a random access memory RAM 703. In the RAM703, various programs and data necessary for the operation of the computing device 700 are also stored. The processing device 701, the ROM702, and the RAM703 are connected to each other by a bus 704. An input/output I/O interface 705 is also connected to bus 704.

Generally, the following devices may be connected to the I/O interface 705: input devices 705 including, for example, a touch screen, touchpad, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. Communications 709 may allow computing device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates a computing device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some implementations, the clients, computing devices may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the computing device; or may exist separately and not be assembled into the computing device.

The computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: acquiring voice data fed back by a called person, wherein the voice data comprises fed back travel information; semantic content extraction is carried out on the voice data to obtain the fed-back travel information; performing data analysis based on the fed-back travel information, and judging whether the travel information is missing or not according to a data analysis result; and under the condition that the missing trip information is judged, generating corresponding first prompt data based on the missing trip information, wherein the first prompt data is used for guiding the called person to continue to feed back the trip information in a voice mode.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, smalltalk, C + +, including conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or computing device. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection according to one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The embodiments of the present disclosure also provide a computer-readable storage medium, where a computer program is stored in the storage medium, and when the computer program is executed by a processor, the method of any of the above method embodiments can be implemented, and the execution manner and the beneficial effect are similar, and are not described herein again.

The embodiment of the present disclosure also provides a vehicle, which includes the aforementioned computing device. The specific vehicle may be a fuel vehicle, a pure electric vehicle, or the like, and the embodiment of the disclosure is not limited.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A journey investigation method is applied to an automatic outbound system and is characterized by comprising the following steps:

and under the condition that the missing trip information is judged, generating corresponding first prompt data based on the missing trip information, wherein the first prompt data is used for guiding the called person to continue to feed back the trip information in a voice mode.

2. The method of claim 1, wherein the analyzing data based on the fed-back trip information and determining whether there is missing trip information according to the data analysis result comprises:

determining covered travel time period according to time characteristic information in the fed-back travel information, wherein the covered travel time period is the time period of the called person having fed back travel through voice data;

before generating corresponding first prompt data based on the missing trip information, the method further comprises: and taking the uncovered journey time period as the missing journey information.

3. The method according to any one of claims 1-2, wherein the performing data analysis based on the fed-back trip information and determining whether there is missing trip information according to a data analysis result comprises:

before generating corresponding first prompt data based on the missing trip information, the method further includes: determining the missing trip information based on the existing trip location.

4. The method according to claim 1 or 2, wherein the performing data analysis based on the fed-back trip information and determining whether there is missing trip information according to a data analysis result comprises:

before generating corresponding first prompt data based on the missing trip information, the method further comprises: and using the vehicle information as the missing travel information.

5. The method of claim 4, wherein in the event that it is determined that the person being called needs to be in a vehicle, the method further comprises:

estimating the type of the vehicle taken by the dispatched person according to the distance and/or the travel location of the two adjacent time periods and the two adjacent travel time periods;

6. The method according to claim 1 or 2, wherein the analyzing data based on the fed-back trip information and determining whether there is missing trip information according to the data analysis result comprises:

7. The method of claim 6, wherein analyzing the fed-back trip information based on the type of trip intent to determine whether missing trip information associated with the fed-back trip is missing comprises:

the determining the missing trip information according to the trip intent includes: and taking the information of other persons with action intersection with the called person and/or more accurate travel place information as the missing travel information.

8. The method according to claim 1 or 2, characterized in that the method further comprises:

9. A travel survey device is applied to an automatic outbound system and is characterized by comprising:

10. A computing device comprising a processor and a memory, the memory for storing a computer program;

the computer program, when loaded by the processor, causes the processor to perform a trip investigation method according to any of claims 1-8.

11. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to implement the trip investigation method according to any of claims 1-8.