CN112381505B

CN112381505B - Management method and device for network car booking service, electronic equipment and readable storage medium

Info

Publication number: CN112381505B
Application number: CN202011243458.1A
Authority: CN
Inventors: 桂成龙; 石迎春; 曾辉; 柯颖昌; 王响
Original assignee: Nanjing Leading Technology Co Ltd
Current assignee: Nanjing Leading Technology Co Ltd
Priority date: 2020-11-09
Filing date: 2020-11-09
Publication date: 2022-05-20
Anticipated expiration: 2040-11-09
Also published as: CN112381505A

Abstract

The embodiment of the invention provides a management method, a device, electronic equipment and a readable storage medium for network car-booking service, wherein the method comprises the steps of acquiring service duration information of a corresponding first driver client when a network car-booking order is finished, wherein the service duration information comprises accumulated service duration within at least one preset time period from the first time when the order is finished, the initial time and/or the ending time of each preset time period are different, the initial time is the online time of the first driver client, and the ending time is greater than or equal to the first time; detecting whether the service duration information meets offline conditions and/or preset reminding conditions or not according to a preset strategy; when the offline condition is met, the first driver client is set to stop receiving orders within a preset time length; and when the preset reminding condition is met, sending reminding information to the first driver client. The invention can make reasonable rest reminding and rest measures, ensure the safety of drivers and passengers and simultaneously improve the vehicle transport capacity and the service efficiency.

Description

Management method and device for network car booking service, electronic equipment and readable storage medium

Technical Field

The present invention relates to the field of network car booking technologies, and in particular, to a method and an apparatus for managing a network car booking service, an electronic device, and a readable storage medium.

Background

With the development of internet technology, network taxi appointment gradually merges into people's daily life. The network taxi booking greatly improves taxi taking efficiency of passengers, solves the problem that people are difficult to go out, and makes people more and more convenient to go out.

However, most network car booking drivers do not have reasonable time planning at present, so that the service efficiency is low, the income of the drivers and the experience of passengers are influenced, more time is consumed by the drivers, the health of the drivers is influenced, and potential safety hazards are brought to the passengers and the drivers. Further, because the network car booking driver does not have reasonable time planning, the transportation capacity cannot be reasonably distributed in different time periods, and the service capacity of the network car booking is also influenced by the reasonable time planning.

Therefore, the problems that the service efficiency is low, potential safety hazards are easy to generate and the service capacity of the network car booking is influenced exist in the conventional network car booking due to the fact that a network car booking driver lacks reasonable working time planning.

Disclosure of Invention

The embodiment of the invention provides a management method, a management device, electronic equipment and a readable storage medium of network car booking service, and aims to solve the problems that in the prior art, due to the fact that a network car booking driver is lack of reasonable working time planning, service efficiency is low, potential safety hazards are easy to generate, and network car booking service capacity is influenced.

In order to solve the above technical problem, an embodiment of the present invention provides the following technical solutions:

in a first aspect, an embodiment of the present invention provides a method for managing a vehicle appointment service in a network, which is applied to a vehicle appointment management platform, and includes:

under the condition that the completion of the network car booking order is monitored, service duration information of a first driver client side corresponding to the network car booking order is obtained, wherein the service duration information comprises: stopping corresponding accumulated service duration in at least one preset time period at a first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time;

detecting whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset strategy;

under the condition that the service duration information meets the offline condition, setting the first driver client to stop receiving orders within a preset duration;

and sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition.

Optionally, each preset time period corresponds to a service reminding time length and an online service time length threshold, and detecting whether the service time length information meets an offline condition and/or whether the service time length information meets a preset reminding condition according to a preset policy includes:

comparing the corresponding accumulated service duration within each preset time period with the corresponding threshold value of the online service duration respectively, and determining that an offline condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding threshold value of the online service duration; and/or

And comparing the corresponding accumulated service duration with the corresponding service reminding duration in each preset time period, and determining that a preset reminding condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding service reminding duration.

Optionally, when detecting whether the service duration information meets the offline condition and whether the service duration information meets the preset reminding condition according to a preset strategy, detecting whether the service duration information meets the offline condition is higher in priority than detecting whether the service duration information meets the preset reminding condition, and stopping detection when determining that the service duration information meets the offline condition.

Optionally, under the condition that the service duration information satisfies the offline condition, setting that the first driver client stops receiving orders within a preset duration includes:

removing a dispatch object set from the first driver client and maintaining a first target duration when at least one of the accumulated service durations is greater than or equal to the corresponding online service duration threshold;

each accumulated service duration which is greater than or equal to the corresponding online service duration threshold corresponds to a first duration, and the first target duration is the longest first duration in at least one first duration.

Optionally, the sending a reminding message to the first driver client when the service duration information meets the preset reminding condition includes:

under the condition that at least one accumulated service duration is greater than or equal to the corresponding service reminding duration, at least one prompt message for prompting rest is pushed to the first driver client;

and each accumulated service duration which is greater than or equal to the corresponding service reminding duration corresponds to one prompt message.

Optionally, when the time difference between the initial time of the peak time period and the first time is smaller than a first time threshold, and the service duration information does not satisfy the offline condition, detecting whether the service duration information satisfies a preset reminding condition according to a preset policy includes:

acquiring the time difference between the termination time and the first time of the peak time period, and calculating the product of the time difference and the effective service rate to acquire the effective service duration;

for each preset time period, calculating the sum of the accumulated service duration corresponding to the current preset time period and the effective service duration, and acquiring the effective accumulated service duration corresponding to the current preset time period;

for each preset time period, detecting whether the effective accumulated service time length corresponding to the current preset time period is greater than or equal to an online service time length threshold corresponding to the current preset time period;

and determining that the service duration information meets a preset reminding condition under the condition that the effective accumulated service duration corresponding to at least one preset time period is greater than or equal to the corresponding online service duration threshold.

Optionally, the method further includes:

acquiring online time and peak period online time corresponding to N periods respectively aiming at each driver client, and generating an online information list, wherein N is an integer greater than or equal to 1;

aiming at each driver client, the online information list is compared with a standard attendance list, an attendance checking list is generated and pushed to the corresponding driver client, and the standard attendance list comprises standard online time and standard peak period online time which correspond to each period respectively.

Optionally, the method further includes:

under the condition of receiving a vacation request sent by a second driver client for vacation in a target time period, detecting the relation between a vacation ratio in the target time period and a preset ratio, wherein the vacation ratio is the ratio of the number of vacations to the total number of people;

feeding back first feedback information that vacation is not allowed to the second driver client in the case that the vacation rate is greater than or equal to the preset rate;

and feeding back second feedback information allowing vacation to the second driver client in the case that the vacation rate is less than the preset rate.

In a second aspect, an embodiment of the present invention provides a management device for a network car booking service, which is applied to a network car booking management platform, and includes:

the obtaining module is used for obtaining service duration information of a first driver client corresponding to a network car booking order under the condition that the completion of the network car booking order is monitored, and the service duration information comprises: stopping corresponding accumulated service duration in at least one preset time period at a first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time;

the first detection module is used for detecting whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset strategy;

the setting module is used for setting the first driver client to stop receiving orders within a preset time length under the condition that the service time length information meets the offline condition;

and the sending module is used for sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition.

Optionally, each of the preset time periods corresponds to a service reminding duration and an online service duration threshold, and the first detection module includes:

the first detection submodule is used for comparing the corresponding accumulated service duration in each preset time period with the corresponding threshold value of the on-line service duration respectively, and determining that an off-line condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding threshold value of the on-line service duration; and/or

And the second detection submodule is used for comparing the corresponding accumulated service duration in each preset time period with the corresponding service reminding duration respectively, and determining that a preset reminding condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding service reminding duration.

Optionally, the setting module is further configured to:

Optionally, the sending module is further configured to:

Optionally, when a time difference between an initial time of the peak time and the first time is smaller than a first time threshold, and the service duration information does not satisfy the offline condition, the first detecting module includes:

the first obtaining submodule is used for obtaining the time difference between the termination time of the peak time period and the first time, calculating the product of the time difference and the effective service rate and obtaining the effective service duration;

the second obtaining submodule is used for calculating the sum of the accumulated service duration corresponding to the current preset time interval and the effective service duration aiming at each preset time interval, and obtaining the effective accumulated service duration corresponding to the current preset time interval;

the third detection submodule is used for detecting whether the effective accumulated service time corresponding to the current preset time period is greater than or equal to the threshold value of the online service time corresponding to the current preset time period or not according to each preset time period;

the determining submodule is used for determining that the service duration information meets a preset reminding condition under the condition that the effective accumulated service duration corresponding to at least one preset time period is greater than or equal to the corresponding threshold value of the on-line service duration.

Optionally, the apparatus further comprises:

the acquisition generation module is used for acquiring online time and peak period online time which respectively correspond to N periods aiming at each driver client, and generating an online information list, wherein N is an integer greater than or equal to 1;

and the generation pushing module is used for comparing the online information list with the standard attendance list aiming at each driver client, generating an attendance checking list and pushing the attendance checking list to the corresponding driver client, wherein the standard attendance list comprises standard online time and standard peak period online time which correspond to each period respectively.

Optionally, the apparatus further comprises:

the second detection module is used for detecting the relation between the vacation ratio in the target time interval and a preset ratio under the condition that a vacation request of vacating in the target time interval, which is sent by a second driver client, is received, wherein the vacation ratio is the ratio of the number of vacations to the total number of people;

the first feedback module is used for feeding back first feedback information which does not allow vacation to the second driver client side under the condition that the vacation rate is larger than or equal to the preset rate;

and the second feedback module is used for feeding back second feedback information allowing vacation to the second driver client side under the condition that the vacation rate is smaller than the preset rate.

In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes: the management method comprises the following steps of storing the management program in a memory, storing the management program in the memory, and executing the computer program by a processor.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in the management method of the network appointment service described above.

In the embodiment of the invention, the service duration information corresponding to the first driver client and including the accumulated service duration corresponding to at least one preset time interval from the first time when the network car booking order is completed is obtained when the network car booking order is completed, whether the service duration information meets the offline condition and/or the preset reminding condition is detected according to the preset strategy, the first driver client is set to stop receiving orders within the preset duration when the service duration information meets the offline condition, and the reminding information is sent to the first driver client when the service duration information meets the preset reminding condition, so that reasonable rest reminding and rest measures can be realized, the safety of drivers and passengers can be ensured, the transportation capacity can be adjusted to ensure reasonable distribution of the transportation capacity, and the service efficiency and the service capacity of the network car booking can be improved.

Drawings

Fig. 1 is a schematic view of a management method of a network car booking service provided by an embodiment of the present invention;

FIG. 2 is a flowchart illustrating attendance checking on a driver client according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating an embodiment of a driver vacation client according to the present invention;

fig. 4 is a schematic view of a management device of the network car booking service provided by the embodiment of the invention;

fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The embodiment of the invention can ensure the rest of the driver by providing scientific time planning and formulating scientific and reasonable rest reminding and rest measures so as to ensure the riding safety of drivers and passengers, and can ensure the reasonable transport capacity adjustment of the vehicle in corresponding time intervals by formulating the rest reminding and rest measures, thereby improving the transport capacity, service efficiency and network appointment service capacity of the vehicle and bringing better riding experience to passengers.

As shown in fig. 1, the method for managing a car booking service in a network provided by the embodiment of the present invention is applied to a car booking management platform, and includes:

step 101, under the condition that the network car booking order is monitored to be completed, acquiring service duration information of a first driver client corresponding to the network car booking order, wherein the service duration information comprises: and ending the corresponding accumulated service duration in at least one preset time period at the first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the ending time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each ending time is greater than or equal to the first time.

The network car booking management platform can communicate with the driver client side, and can acquire notification information of completion of the network car booking order when the driver client side completes the network car booking order. Under the condition that the network car booking order is confirmed to be completed, service duration information of a driver client corresponding to the network car booking order can be obtained, the driver client can record the service duration information in real time, the driver client can know the service condition of the driver client conveniently by recording the service duration information in real time, and the driver client can also be synchronized to the network car booking management platform.

In this embodiment, when the online taxi appointment order of the first driver client is completed, the online taxi appointment management platform obtains service duration information corresponding to the first driver client, where the service duration information includes accumulated service duration corresponding to at least one preset time period from the first time when the online taxi appointment order is completed, and for each preset time period, the initial time is different, or the end time is different, or the initial time is different from the end time. For the initial time of each preset time period, the initial time is the online time of the first driver client, and for the different initial times, the initial time is the different online time of the first driver client. The duration of each preset time period can be the same or different, the termination time of each preset time period is greater than or equal to the first time for completing the network taxi appointment order, and the initial time of each preset time period is less than the first time.

For example, the first time when the online booking order is completed is 21 o 'clock at 9 months and 10 days, the number of the preset time periods is four, for the first preset time period, the corresponding initial time is 9 o' clock at 7 o 'clock at 9 months and 9 o' clock at 9 months and 7 o 'clock at 9 months and 24 o' clock at 9 months and 30 o 'clock at the corresponding termination time, for the second preset time period, the corresponding initial time is 9 o' clock at 7 o 'clock at 9 months and 9 o' clock at 9 months and 7 o 'clock at 9 months and 9 o' clock at 24 o 'clock at 9 months and 13 o' clock at 9 months, for the third preset time period, the corresponding initial time is 9 o 'clock at 6 o' clock at 9 months and 6 o 'clock at 9 months and 12 o' clock at 9 months and 24 o 'clock at 9 months and 12 o' clock at 9 months and 19 o 'clock at the corresponding initial time, for the fourth preset time period, the corresponding initial time period is 9 months and 10 o' clock at 19 o 'clock at 9 months and 10 o' clock at 9 months, The corresponding termination time is 23 o' clock No. 10 of 9 months. The initial time of the first preset time interval is the same as the initial time of the second preset time interval, and the duration of the second preset time interval is the same as the duration of the third preset time interval.

It should be noted that, the time from when the driver starts to drive to when the passenger arrives at the destination is the service duration of one order, the total duration of one, two or more orders corresponding to the driver is the accumulated service duration, the duration that the driver is in the online state and can receive the order service is the online duration, and the difference between the online duration of the driver and the accumulated service duration of the driver is the tour duration of the driver.

After acquiring the accumulated service duration corresponding to at least one preset time period by the first time, step 102 may be performed according to service duration information including at least one accumulated service duration.

Step 102, detecting whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset strategy.

After the service duration information including at least one accumulated service duration is acquired, whether the service duration information meets a preset reminding condition or not can be detected according to a preset strategy, whether the service duration information meets an offline condition or not can be detected, whether the service duration information meets the preset reminding condition or not and whether the service duration information meets the offline condition or not can be detected. The preset strategy comprises a first strategy and a second strategy, whether the service duration information meets the preset reminding condition or not can be detected based on the first strategy, and whether the service duration information meets the offline condition or not can be detected based on the second strategy.

And 103, under the condition that the service duration information meets the offline condition, setting the first driver client to stop receiving orders within a preset duration.

After detecting the service duration information according to a preset strategy, if the service duration information meets an offline condition, the network taxi appointment management platform can be used for setting a first driver client to stop taking orders within the preset duration, namely, the first driver client is forced to be offline, so that the driver is ensured to stop working, reasonable rest is realized, fatigue driving caused by long-time working is avoided, riding safety of drivers and passengers is ensured, and the driver is forced to rest, so that the driver can be ensured to carry out efficient taking orders in the next time period, service efficiency and service capacity of the network taxi appointment are improved, and the scheme of forced rest can also be used for adjusting the transport capacity and ensuring reasonable distribution of the transport capacity.

And 104, sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition.

After the service duration information is detected according to the preset strategy, if the service duration information meets the preset reminding condition, the network car-booking management platform can send reminding information to the first driver client side for reminding the driver to take a rest so as to ensure the safety of drivers and passengers, and reasonable transport capacity adjustment of the vehicle in the corresponding time period can be further ensured by reminding the driver to take a rest.

It should be noted that, each time the driver client gets online, the online service duration threshold (e.g. 4 hours) and the service reminding duration (e.g. 3 hours) may correspond to each time, that is, after the driver gets online, if the accumulated service duration exceeds 3 hours, the driver may be reminded, and if the accumulated service duration exceeds 4 hours, the driver may be forced to get offline.

Aiming at the condition that the service duration information simultaneously meets the preset reminding condition and the offline condition, the priority of stopping order receiving of the driver client within the preset duration is set to be higher than the priority of sending the reminding information.

In the implementation process, the service duration information corresponding to the first driver client and including the accumulated service duration corresponding to at least one preset time period at the first moment when the network car booking order is completed is obtained when the network car booking order is completed, whether the service duration information meets the preset reminding condition and/or offline condition is detected according to the preset strategy, the reminding information is sent to the first driver client when the service duration information meets the preset reminding condition, and the first driver client is set to stop receiving orders within the preset duration when the service duration information meets the offline condition, so that reasonable rest reminding and rest measures can be realized, the safety of drivers and passengers is ensured, the transportation capacity can be adjusted to ensure reasonable distribution of the transportation capacity, and the service efficiency and the service capacity of the network car booking are improved.

In an optional embodiment of the present invention, each of the preset time periods corresponds to a service reminding time length and an online service time length threshold, and the detecting whether the service time length information satisfies an offline condition and/or whether the service time length information satisfies a preset reminding condition according to a preset policy includes:

The preset strategy in the embodiment of the invention comprises a first strategy for detecting whether the service duration information meets the preset reminding condition and a second strategy for detecting whether the service duration information meets the offline condition. Each preset time period may correspond to a service reminding duration and an online service duration threshold, where the service reminding duration is less than the online service duration threshold.

When detecting whether the service duration information meets the preset reminding condition according to the first policy, the method specifically includes: and comparing the corresponding accumulated service duration in each preset time period with the corresponding service reminding duration, and determining that the preset reminding condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding service reminding duration.

For example, the preset time periods are two, namely one week and one month, the service reminding time period is 49 hours for one week, and the service reminding time period is 199 hours for one month. In the case that the completion of the online taxi appointment order is monitored, whether the accumulated service time length in the week is greater than or equal to 49 hours or not and whether the accumulated service time length in the month is greater than or equal to 199 hours or not can be detected until the first moment. And if the accumulated service duration corresponding to the week is greater than or equal to 49 hours and/or the accumulated service duration corresponding to the month is greater than or equal to 199 hours, determining that the preset reminding condition is met.

When detecting whether the service duration information meets the offline condition according to the second policy, the method may specifically be: and comparing the corresponding accumulated service time length in each preset time period with the corresponding threshold value of the online service time length, and determining that the offline condition is met under the condition that at least one accumulated service time length is greater than or equal to the corresponding threshold value of the online service time length.

For example, the preset time periods are two, namely one week and one month, the online service time threshold is 50 hours for one week, and 200 hours for one month. Under the condition that the completion of the network appointment order is monitored, whether the accumulated service time length corresponding to the first time is greater than or equal to 50 hours in the week or not and whether the accumulated service time length corresponding to the second time is greater than or equal to 200 hours in the month can be detected. And if the accumulated service duration corresponding to the week is greater than or equal to 50 hours and/or the accumulated service duration corresponding to the month is greater than or equal to 200 hours, determining that the offline condition is met.

When detecting whether the service duration information meets the offline condition according to the second policy and whether the service duration information meets the preset reminding condition according to the first policy, the method specifically includes: comparing the corresponding accumulated service duration in each preset time period with the corresponding threshold value of the on-line service duration, comparing the corresponding accumulated service duration in each preset time period with the corresponding service reminding duration, determining that the off-line condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding threshold value of the on-line service duration, and determining that the preset reminding condition is met under the condition that at least one accumulated service duration is greater than or equal to the corresponding service reminding duration.

When detecting whether the service duration information meets the offline condition and whether the service duration information meets the preset reminding condition according to a preset strategy, detecting whether the service duration information meets the offline condition is higher in priority than detecting whether the service duration information meets the preset reminding condition, and stopping detection under the condition that the service duration information meets the offline condition.

Namely, when detecting whether the offline condition is met or not and whether the preset reminding condition is met or not, whether the service duration information meets the offline condition or not can be detected firstly, if the service duration information meets the offline condition, the preset reminding condition is definitely met, and detection is not needed at the moment. If the service duration information does not meet the offline condition, whether the service duration information meets the preset reminding condition or not can be detected.

In the implementation process, for each preset time period, the corresponding accumulated service duration in the preset time period is compared with the corresponding threshold value of the on-line service duration and/or the service reminding duration, whether the off-line condition and/or the preset reminding condition is met is determined according to the comparison result, the condition that the service duration information meets the off-line condition and/or the preset reminding condition is determined by monitoring the corresponding accumulated service duration in at least one preset time period, and when the at least one accumulated service duration meets the off-line condition and/or the preset reminding condition, the accuracy of detection of the off-line condition and/or the reminding condition is ensured.

And by setting the priority for detecting whether the service duration information meets the offline condition to be higher than the priority for detecting whether the service duration information meets the preset reminding condition, unnecessary detection can be avoided, and the detection flow is simplified.

In an optional embodiment of the present invention, the setting that the first driver client stops order pickup within a preset time length when the service duration information meets the offline condition includes:

removing a dispatch object set from the first driver client and maintaining a first target duration when at least one accumulated service duration is greater than or equal to the corresponding online service-available duration threshold;

And under the condition that the corresponding accumulated service duration is greater than or equal to the corresponding online service duration threshold value in at least one preset time period, determining that the service duration information meets the offline condition, determining a first target duration, removing the dispatch object set from the first driver client corresponding to the network appointment order, and keeping the first target duration. When the first target time length is determined, the longest first time length can be screened out from the first time lengths corresponding to at least one accumulated service time length meeting the offline condition, and the screened first time length is determined as the first target time length. The accumulated service duration meeting the offline condition is the accumulated service duration which is greater than or equal to the corresponding threshold value of the online service duration, and the first duration corresponding to the accumulated service duration meeting the offline condition is the first duration associated with the preset time interval corresponding to the accumulated service duration meeting the offline condition. The first duration is positively correlated with the duration of the preset time period, i.e., the longer the duration of the preset time period is, the longer the first duration is.

For example, the preset time periods are two, namely a week and a day, the online service available time period threshold is 50 hours for the week, and the online service available time period threshold is 8 hours for the day. Under the condition that the completion of the network appointment order is monitored, whether the accumulated service time length corresponding to the first time is greater than or equal to 50 hours in the week or not and whether the accumulated service time length corresponding to the current day is greater than or equal to 8 hours or not can be detected. If the cumulative service duration corresponding to the week is greater than or equal to 50 hours, the first duration may be obtained: 24 hours, if the accumulated service duration corresponding to today is greater than or equal to 8 hours, the first duration may be obtained: 6 hours, then with 24 hours as the first target duration, the first driver client removes the set of dispatch objects and holds for 24 hours.

It should be noted that the first durations corresponding to different preset time periods are different, and the corresponding first durations may be the same or different for different time periods with the same time length, for example, the first durations corresponding to the first week and the second week of 9 months may be the same or different.

After the dispatch object set is removed from the first driver client, the first driver client can be on-line only after the first target duration, and the first driver client needs to actively initiate an on-line request to realize the re-on-line of the first driver client.

In the implementation process, the first time lengths are respectively obtained according to the accumulated service time lengths meeting the offline condition in different preset time periods, and the first target time length with the longest time is screened out from at least one first time length, so that the offline corresponding time length of the driver can be controlled according to the service state of the client of the driver, and the driver can be ensured to have a rest for the corresponding time length according to the service condition.

In an optional embodiment of the present invention, the sending a reminding message to the first driver client when the service duration information satisfies the preset reminding condition includes:

And under the condition that the corresponding accumulated service duration is greater than or equal to the corresponding service reminding duration in at least one preset time period, determining that the service duration information meets the preset reminding condition, and pushing at least one piece of reminding information for reminding rest to the first driver client. The number of the prompt messages is equal to the number of the accumulated service duration which is greater than or equal to the corresponding service reminding duration. And for each prompt message, the corresponding rest duration may be the same or different, wherein the time length of the preset time period corresponding to the accumulated service duration is positively correlated with the rest duration, i.e., the longer the time length of the preset time period is, the longer the rest duration is.

For example, the preset time periods are two, namely a week and a day, the service reminding time period is 49 hours for the week, and the service reminding time period is 7 hours for the day. Under the condition that the completion of the network appointment order is monitored, whether the accumulated service time length corresponding to the first time is greater than or equal to 49 hours in the week or not and whether the accumulated service time length corresponding to the current day is greater than or equal to 7 hours or not can be detected. If the accumulated service duration corresponding to the week is greater than or equal to 49 hours, the prompt message of 24 hours of rest can be output, and if the accumulated service duration corresponding to the day is greater than or equal to 7 hours, the prompt message of 6 hours of rest can be output.

In the implementation process, the prompt information containing the rest duration is respectively output according to the accumulated service durations meeting the reminding conditions in different preset time periods, so that the adaptive prompt information can be pushed according to the service state of the driver client, and the driver is ensured to rest for the corresponding duration according to the service condition.

In an optional embodiment of the present invention, when a time difference between an initial time of a peak period and the first time is smaller than a first time threshold and the service duration information does not satisfy an offline condition, the detecting whether the service duration information satisfies a preset reminding condition according to a preset policy includes:

for each preset time period, calculating the sum of the accumulated service time length corresponding to the current preset time period and the effective service time length, and acquiring the effective accumulated service time length corresponding to the current preset time period;

When the first time of the network car booking order completion is close to the initial time of the peak time period, whether the service duration information of the first driver client side corresponding to the network car booking order meets the offline condition or not can be detected firstly, if the offline condition is met, the first driver client side can be controlled to be offline, the driver is allowed to go online again after having a rest for a period of time, and therefore the reasonable rest of the driver is guaranteed. If the offline condition is not met, the process of detecting whether the service duration information meets the preset reminding condition can be executed.

The peak time is a time period with high concurrent volume of orders determined by order statistics according to big data, namely, the quantity of orders in different time periods every day is counted by a big data system, the peak time every day is formulated according to the order distribution condition according to the hour dimension, and if the peak time finally formulated is as follows: 7-9 am, 17-19 pm and 20-22 pm. The effective service rate is calculated by counting the driver accumulated online time and the driver accumulated service time by the big data system, wherein the effective service rate is the driver accumulated service time/the driver accumulated online time, and if the final result is 0.6.

The preset strategy further includes a third strategy, and under the condition that the service duration information of the first driver client does not satisfy the offline condition, the third strategy can be adopted to detect whether the service duration information satisfies the preset reminding condition or not for the peak period, specifically: and calculating the time difference between the ending time of the peak time and the first time, and then calculating the product of the time difference and the effective service rate to obtain the effective service time length corresponding to the ending time from the first time to the peak time. After the effective service duration is obtained, the sum of the accumulated service duration corresponding to the current preset time period and the effective service duration is calculated for each preset time period, and the effective accumulated service duration corresponding to the current preset time period is obtained. The prompt information that the driver is required to take a rest when the peak period is coming can be output, and the continuous normal service can be ensured in the peak period.

For example, the number of the preset time periods is two, the initial time (the first driver client is on line) of the first preset time period is 9 am, the termination time is 23 pm, the initial time (the first driver client is on line) of the second preset time period is 17 pm, the termination time is 23 pm, the online service-enabled duration threshold corresponding to the first preset time period is 8 hours, and the online service-enabled duration threshold corresponding to the second preset time period is 5 hours. The late peak is 20-22 nights, the current corresponding first time is 19 hours, the accumulated service time corresponding to the second preset time period from 19 hours to 19 hours is 1 hour, the accumulated service time corresponding to the first preset time period is 6 hours, if the effective service rate is 0.6, the effective service time from 19 hours to 22 hours is 1.8 hours, the sum of the accumulated service time corresponding to the second preset time period and the effective service time is calculated to obtain 2.8 hours, the sum of the accumulated service time corresponding to the first preset time period and the effective service time is calculated to obtain 7.8 hours, because 2.8 hours are less than the threshold value of online service time corresponding to the second preset time period by 5 hours, and 7.8 hours are less than the threshold value of online service time corresponding to the first preset time period by 8 hours, no reminding is needed, and at this time, the first driver client can keep working state in the peak time period.

It should be noted that, for the case that the effective accumulated service duration is less than the threshold of the online service duration, if the first driver client continuously receives the order in the actual order receiving process and the ending time of the peak time period is not reached, the accumulated service duration corresponding to the first driver client in at least one preset time period is greater than the threshold of the online service duration, and the first driver client may be forced to be offline.

According to the implementation process, before the peak period comes, whether the first driver client can provide complete service in the peak period is detected according to a specific algorithm, if not, the prompt message that the peak period comes is output, the driver is asked to pay attention to rest, the continuous normal service in the peak period is guaranteed, the transport capacity can be adjusted in the non-peak period, the service efficiency in the peak period is higher, and the problem that the service efficiency in the peak period is influenced by forced rest due to the continuous service of the driver is avoided.

In an optional embodiment of the present invention, the method further comprises:

The network appointment management platform can formulate attendance checking, namely generate a standard attendance list comprising attendance standards respectively corresponding to each period, wherein the attendance standards can comprise standard online time and standard peak period online time. The time length of each period may be one day, and certainly may be other time lengths, in this embodiment, taking one day as an example, since the attendance criteria of each day may be different, the standard attendance list may include attendance criteria respectively corresponding to a plurality of periods (for example, 7 days), and for the case that the attendance criteria of each day are the same, the standard attendance list may include one attendance criterion.

After the standard attendance list is generated, the online time length and the peak period online time length corresponding to each day in a week can be obtained for each driver client, the online time length and the peak period online time length corresponding to each day are compared with the corresponding attendance standard, and the attendance standard comprises the standard online time length and the standard peak period online time length, so that the online time length and the corresponding standard online time length can be compared, the peak period online time length and the corresponding standard peak period online time length are compared, and the attendance check list is generated for each day.

The attendance checking list can comprise a checking result of whether the standard online time is reached or not and a checking result of whether the standard peak period online time is reached or not by comparing at each time, after the attendance checking list is generated, the attendance checking list can be pushed to a corresponding driver client, and the attendance checking list is displayed at the driver client, so that a driver can conveniently know the attendance condition of the driver. It should be noted that after the attendance checking list is generated, corresponding reminding or punishment measures can be made for the driver client that does not meet the attendance standard, so as to encourage the driver to provide the order receiving service according to the attendance standard.

The implementation process of checking attendance on the driver client can be seen in fig. 2:

step 201, the network car booking management platform generates a standard attendance list including attendance standards corresponding to each period, wherein the attendance standards include standard online time and standard peak period online time.

Step 202, the network appointment management platform acquires the corresponding online time and the online time of the rush hour in each period of the synchronization of the driver client, and generates an online information list.

And step 203, comparing the online information list with the standard attendance list to generate an attendance checking list.

And step 204, pushing the attendance checking list to the driver client.

This embodiment is described below by way of example: the attendance criteria for each day are: the method comprises the steps that standard online time is 8 hours, standard peak period online time is 4 hours, the online time and peak period online time of each day in a week are obtained for a first driver client, then the daily online time is compared with the standard online time by 8 hours, the peak period online time of each day is compared with the standard peak period online time by 4 hours, and a checking result is obtained for each comparison.

According to the implementation process, the attendance checking is formulated, so that a driver can know the attendance condition clearly, and the driver can be stimulated to provide order receiving service according to the attendance standard, and the legal rights and interests of the driver and both parties of a company are guaranteed.

In this embodiment, the online booking management platform may receive a vacation request sent by the second driver client for vacation in the target time period, and may first detect a vacation rate in the target time period when receiving the vacation request. The time length of the target time period may be one day, and may of course be other time periods, in this embodiment, taking one day as an example, the vacation ratio here is the ratio of the number of vacations (number of vacation drivers) to the total number of people (number of drivers).

If the vacation rate in the day is larger than or equal to the preset rate, for example, 5%, the number of vacation people reaches the upper limit, at this time, first feedback information that vacation is not allowed in the day can be fed back to the second driver client to guarantee the daily capacity, if the vacation rate in the day is smaller than the preset rate, the number of vacation people does not reach the upper limit, at this time, the approval staff can further approve the vacation people, and if the vacation rate in the day passes the approval, second feedback information that vacation is allowed in the day is fed back to the second driver client. In this case, the operator (driver) can make internal adjustments for the case where the second driver client is not allowed to leave.

A specific implementation flow for the driver client vacation can be seen in fig. 3:

and step 301, receiving a vacation request of vacation of 10 months and 2 days sent by a second driver client.

And step 302, detecting whether the vacation rate of 10 months and 2 days is larger than or equal to a preset rate.

And step 303, feeding back first feedback information which does not allow vacation to the second driver client when the vacation rate of 10 months and 2 days is greater than or equal to a preset rate.

And step 304, when the vacation ratio of 10 months and 2 days is smaller than the preset ratio, examining and approving the vacation request by an examining and approving person.

And 305, feeding back second feedback information allowing vacation to the second driver client under the condition of passing the approval.

The flow can ensure the daily transport capacity by strictly controlling the number of vacations, thereby ensuring the service quality.

The implementation process detects the vacation rate in the target time interval under the condition that a vacation request for vacation in the target time interval is received, and does not allow a driver to vacate in the target time interval to ensure the capacity requirement under the condition that the vacation rate is greater than or equal to a preset rate.

The management method for the network car booking service provided by the embodiment of the invention comprises the steps of acquiring service duration information corresponding to a first driver client and comprising accumulated service duration corresponding to at least one preset time interval in the first moment when the network car booking order is completed, detecting whether the service duration information meets an offline condition and/or a preset reminding condition according to a preset strategy, setting the first driver client to stop receiving orders within the preset duration when the service duration information meets the offline condition, and sending reminding information to the first driver client when the service duration information meets the preset reminding condition, so that reasonable rest reminding and rest measures can be realized, the safety of drivers and passengers is ensured, the transportation capacity can be adjusted to ensure reasonable distribution of the transportation capacity, and the service efficiency and the service capacity of the network car booking are improved.

Further, whether the offline condition and/or the reminding condition are met or not is judged according to at least one accumulated service duration, so that the accuracy of detection of the offline condition and/or the reminding condition can be ensured; by outputting prompt information containing different rest time lengths, the driver can be ensured to rest for corresponding time lengths according to service conditions; the method comprises the steps that a first target duration is screened out from at least one first duration, and the corresponding offline duration of a driver can be controlled according to the service state of a driver client; the driver is reminded to take a rest before the peak period comes, so that the high service efficiency in the peak period can be ensured; by formulating attendance checking, a driver can know the attendance condition clearly, and can be stimulated to provide order receiving service according to the attendance standard, so that the legal rights and interests of the driver and the company are guaranteed; capacity requirements can be guaranteed by controlling the vacation rate.

The above is a detailed description of the management method of the network car booking service provided by the embodiment of the present invention, and the following is a description of the management device of the network car booking service provided by the embodiment of the present invention.

According to another aspect of the embodiments of the present invention, a management apparatus for a network car booking service is provided, which can implement the specific details of the above-mentioned management method for a network car booking service and achieve the same technical effects.

As shown in fig. 4, the management device for network car booking service provided in the embodiment of the present invention is applied to a network car booking management platform, and includes:

an obtaining module 401, configured to obtain service duration information of a first driver client corresponding to an online car booking order when it is monitored that the online car booking order is completed, where the service duration information includes: stopping corresponding accumulated service duration in at least one preset time period at a first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time;

a first detecting module 402, configured to detect whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset policy;

a setting module 403, configured to set the first driver client to stop receiving orders within a preset duration when the service duration information meets the offline condition;

a sending module 404, configured to send a reminding message to the first driver client when the service duration information meets the preset reminding condition.

Optionally, the setting module is further configured to:

Optionally, the sending module is further configured to:

Optionally, the apparatus further comprises:

For the embodiment of the management device for the network car booking service, since it is basically similar to the embodiment of the management method for the network car booking service, reference may be made to the part of the description of the embodiment of the method for relevant points, and in order to avoid repetition, detailed description is not repeated here.

According to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus including: the management method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the management method of the network appointment service.

Fig. 5 shows a physical structure diagram of an electronic device, for example, as follows.

As shown in fig. 5, the electronic device 500 may include: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530, and a communication bus 540, wherein the processor 510, the communication Interface 520, and the memory 530 communicate with each other via the communication bus 540. Processor 510 may call logic instructions in memory 530 to perform the following method: under the condition that the completion of the network car booking order is monitored, service duration information of a first driver client side corresponding to the network car booking order is obtained, and the service duration information comprises: stopping corresponding accumulated service duration in at least one preset time period at a first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time; detecting whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset strategy; under the condition that the service duration information meets the offline condition, setting the first driver client to stop receiving orders within a preset duration; and sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition.

Furthermore, the logic instructions in the memory 530 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

According to still another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, the computer program being implemented by a processor to perform the steps of the management method for a network appointment service described above, for example: under the condition that the completion of the network car booking order is monitored, service duration information of a first driver client side corresponding to the network car booking order is obtained, wherein the service duration information comprises: stopping corresponding accumulated service duration in at least one preset time period at a first time when the network taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time; detecting whether the service duration information meets an offline condition and/or whether the service duration information meets a preset reminding condition according to a preset strategy; under the condition that the service duration information meets the offline condition, setting the first driver client to stop receiving orders within a preset duration; and sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition. The computer readable storage medium can also implement other implementation processes of the method part of the present invention, which are not described herein again.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A management method of network car booking service is applied to a network car booking management platform and is characterized by comprising the following steps:

sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition;

when the time difference between the initial time of the peak period and the first time is smaller than a first time threshold and the service duration information does not meet the offline condition, detecting whether the service duration information meets a preset reminding condition according to a preset strategy comprises the following steps:

2. The method for managing vehicle appointment service according to claim 1, wherein each of the preset time periods corresponds to a service reminding time duration and an online service time duration threshold, and the detecting whether the service time duration information satisfies an offline condition and/or whether the service time duration information satisfies a preset reminding condition according to a preset policy comprises:

3. The method for managing a network car-booking service of claim 1 or 2,

4. The method for managing the online car booking service according to claim 2, wherein the setting of the first driver client to stop receiving orders within a preset time period in the case that the service duration information meets the offline condition comprises:

5. The management method of the online car-booking service according to claim 2, wherein the sending of the reminding information to the first driver client in the case that the service duration information satisfies the preset reminding condition includes:

6. The method for managing a network car booking service according to claim 1, further comprising:

7. The method for managing a network car booking service according to claim 1, further comprising:

8. The utility model provides a management device of net car booking service, is applied to net car booking management platform which characterized in that includes:

the obtaining module is used for obtaining service duration information of a first driver client corresponding to a network car booking order under the condition that the completion of the network car booking order is monitored, and the service duration information comprises: ending corresponding accumulated service duration in at least one preset time period at a first time point when the online taxi appointment order is completed, wherein the initial time of each preset time period is different and/or the termination time of each preset time period is different, the initial time of each preset time period is the online time of the first driver client, and each termination time is greater than or equal to the first time;

the sending module is used for sending reminding information to the first driver client under the condition that the service duration information meets the preset reminding condition;

when the time difference between the initial time of the peak time period and the first time is less than a first time threshold and the service duration information does not satisfy the offline condition, the first detecting module includes:

9. An electronic device, characterized in that the electronic device comprises: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for managing a network appointment service according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for managing a network appointment service according to any one of claims 1 to 7.