CN109087030A - Realize method, General Mobile crowdsourcing server and the system of the crowdsourcing of C2C General Mobile - Google Patents
Realize method, General Mobile crowdsourcing server and the system of the crowdsourcing of C2C General Mobile Download PDFInfo
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- CN109087030A CN109087030A CN201811075623.XA CN201811075623A CN109087030A CN 109087030 A CN109087030 A CN 109087030A CN 201811075623 A CN201811075623 A CN 201811075623A CN 109087030 A CN109087030 A CN 109087030A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063112—Skill-based matching of a person or a group to a task
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
Abstract
The invention discloses a kind of method for realizing C2C General Mobile crowdsourcing, General Mobile crowdsourcing server and systems.Wherein, a method of realizing the crowdsourcing of C2C General Mobile, comprising: receive mission bit stream, temporal information and geographical location information that task issue client terminal is sent；Task type is judged according to whether there is location information in the mission bit stream, and the number of workers that the quantity and task further according to the worker of acceptable task need selects the corresponding task method of salary distribution, and task is pushed to task execution client；Receive the task action result of task execution client；Received task implementing result is sent to task issue client terminal.The present invention can select the corresponding task method of salary distribution to the mobile general support of crowdsourcing task, and task is made to be distributed to suitable worker faster, and the time that the task that greatly shortens is got reduces the time that publisher waits, and improve platform running efficiency.
Description
Technical field
The invention belongs to the information communications field more particularly to a kind of methods for realizing C2C General Mobile crowdsourcing, General Mobile
Crowdsourcing server and system.
Background technique
" crowdsourcing " refers to the task that a company or mechanism are executed the past by employee, in freely voluntary form
It is contracted out to the way of unspecific (and being usually large-scale) public network.With universal, the crowdsourcing type work of crowdsourcing concept
Mode has penetrated into multiple fields, and all kinds of platforms with crowdsourcing model running occur in succession.It is recruited and is interconnected by crowdsourcing platform
Net is public, solves the problems, such as to have become a kind of new operating mode in conjunction with the wisdom, experience and strength of everybody.
The development of mobile device and popularizing creates condition for the development of mobile crowdsourcing.Spy of the mobile crowdsourcing as crowdsourcing
Example, its main feature is that requiring the worker to receive an assignment that specific place is gone to complete task at the appointed time.Mobile device is as biography
Sensor can be collected into all kinds of image datas, geodata etc., these data are extremely important to our daily life.Such as:
Driver needs to know real-time road condition information in order to adjust traffic path in time.Although driver can check road by map software
Condition information, but these softwares lack Real-time Feedback mechanism, some unexpected incidents can not reflect in time.
There are two types of existing crowdsourcing platform is general:
(a) non-moving crowdsourcing type task poly-talented for deviation, such as one of the chief characters in "Pilgrimage To The West" who was supposedly incarnated through the spirit of pig, a symbol of man's cupidity's net, prestige visitor net etc., the task of support
It is to develop the type that one webpage, design poster etc. are highly professional, geographical location is unrelated mostly, needs to recruit by platform
The worker that suits one's training raise to complete.
(b) for certain types of mobile crowdsourcing task, such as platform is taken out, only supports publication and receiving are sent to take out this
Generic task；For another example drop drop is called a taxi, and only publication and receiving is supported to call a taxi generic task.
Find that there are the following problems for existing crowdsourcing platform by investigation:
(1) existing mobile crowdsourcing platform is not comprehensive enough to the support of mobile crowdsourcing task, or only supports a type of shifting
Dynamic crowdsourcing task, does not have versatility；
(2) existing mobile crowdsourcing platform uses the operating mode of pull mostly, i.e. task publisher issues task
On platform, worker automatically selects interested task, lacks the allocation algorithm for mobile crowdsourcing task, makes task completion rate
It reduces, platform in operation is slow；
(3) existing mobile crowdsourcing platform does not have worker's Quality Control Links, lacks task publisher to the anti-of answer quality
Feedback, in fact it could happen that ropy worker or malice worker get the case where cannot completing after task.
Summary of the invention
In order to solve the deficiencies in the prior art, the first object of the present invention is to provide a kind of realization C2C General Mobile crowdsourcing
Method, can be to the mobile general support of crowdsourcing task, and the corresponding task method of salary distribution can be selected, send out task faster
Cloth gives suitable worker, and the time that the task that greatly shortens is got reduces the time that publisher waits, and improves platform operating effect
Rate.
A kind of method and technology scheme for realizing C2C General Mobile crowdsourcing of the invention are as follows:
A method of realizing the crowdsourcing of C2C General Mobile, it is suitable for server ends, comprising:
Mission bit stream, temporal information and the geographical location information that reception task issue client terminal is sent；
Task type is judged according to whether there is location information in the mission bit stream, further according to the worker of acceptable task
Quantity and the number of workers that needs of task, select the corresponding task method of salary distribution, and task pushed into task execution client
End；
Receive the task action result of task execution client；
Received task implementing result is sent to task issue client terminal.
Further, this method further includes:
The evaluation score of the task action result of reception task issue client terminal feedback；
The quality of related worker, which is recalculated, according to NS=((num-1) * S+TS)/num divides and save；Wherein, NS is
New quality point, num are the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is that worker is complete
The scoring received at current task.
The method of realization C2C General Mobile crowdsourcing of the invention also sets up worker's Quality Control Links, issues visitor to task
Family end is likely to occur ropy worker to the feedback of task action result or malice worker gets the feelings that cannot be completed after task
Condition carries out quality control, and guarantee task preferentially distributes to the high worker of quality, and the probability for making task be completed is bigger, improves task
The quality of implementing result.
Further, the mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
Deadline, the task place that needs the implementing result quantity collected and specified task to complete.
Further, the task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to and meet status requirement
Worker；
The preferential method of salary distribution of quality, it is suitable for each generic tasks, in the case where number of workers abundance, preferentially by task
Distribute to the higher worker of quality；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, that is, are meeting task location requirement
Number of workers when being less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, so
Carry out the distribution of mobile crowdsourcing task on this basis afterwards.
Task can be made to be distributed to suitable worker faster in this way, the time that the task that greatly shortens is got reduces hair
The time that cloth person waits improves platform running efficiency.
Further, it is selected according to the number of workers that task type, current number of workers and task need a kind of or more
The kind task method of salary distribution carries out task distribution.
Further, determine that task is completed according to the deadline of the implementing result quantity or task that receive, stop
Distribution task is to task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
Further, while receiving the task action result of task execution client, task execution client is received certainly
The geographical location information of the dynamic temporal information obtained and automatic sensing.
The present invention also provides another methods for realizing the crowdsourcing of C2C General Mobile.
A method of realizing the crowdsourcing of C2C General Mobile, comprising:
Mission bit stream, temporal information and geographical location information are sent to server by task issue client terminal；
Server judges task type according to whether there is location information in the mission bit stream, further according to acceptable task
Worker quantity and the number of workers that needs of task, select the corresponding task method of salary distribution, and task pushed into task and is held
Row client；
Task execution client executes corresponding task, and task action result is fed back to server；
Received task implementing result is sent to task issue client terminal by server.
Further, this method further includes:
The evaluation score of task action result is fed back to server by task issue client terminal；
Server recalculates the quality of related worker according to NS=((num-1) * S+TS)/num and divides and save；Its
In, NS is new quality point, and num is the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, TS
The scoring that current task receives is completed for worker.
Further, the mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
Deadline, the task place that needs the implementing result quantity collected and specified task to complete.
Further, the task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to and meet status requirement
Worker；
The preferential method of salary distribution of quality, it is suitable for each generic tasks, in the case where number of workers abundance, preferentially by task
Distribute to the higher worker of quality；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, that is, are meeting task location requirement
Number of workers when being less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, so
Carry out the distribution of mobile crowdsourcing task on this basis afterwards.
Further, the number of workers selection one that server is needed according to task type, current number of workers and task
Kind or the multiple-task method of salary distribution carry out task distribution.
Further, server determines that task is complete according to the deadline of the implementing result quantity or task that receive
At stopping distribution task to task execution client；
When task issue client terminal actively stops task, server also stops distribution task to task execution client.
Further, after task execution client receives the task of server push, automatic acquisition time information is simultaneously automatic
Incude geographical location information, and task action result is fed back into server together.
The second object of the present invention is to provide a kind of C2C General Mobile crowdsourcing server, can be to mobile crowdsourcing task
General support, and the corresponding task method of salary distribution can be selected, so that task is distributed to suitable worker faster, greatly shortens task
The time got reduces the time that publisher waits, and improves platform running efficiency.
A kind of C2C General Mobile crowdsourcing server of the invention is configured as executing following steps:
Mission bit stream, temporal information and the geographical location information that reception task issue client terminal is sent；
Task type is judged according to whether there is location information in the mission bit stream, further according to the worker of acceptable task
Quantity and the number of workers that needs of task, select the corresponding task method of salary distribution, and task pushed into task execution client
End；
Receive the task action result of task execution client；
Received task implementing result is sent to task issue client terminal.
Further, the C2C General Mobile crowdsourcing server is also configured to
The evaluation score of the task action result of reception task issue client terminal feedback；
The quality of related worker, which is recalculated, according to NS=((num-1) * S+TS)/num divides and save；Wherein, NS is
New quality point, num are the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is that worker is complete
The scoring received at current task.
Further, the mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
Deadline, the task place that needs the implementing result quantity collected and specified task to complete.
Further, the task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to and meet status requirement
Worker；
The preferential method of salary distribution of quality, it is suitable for each generic tasks, in the case where number of workers abundance, preferentially by task
Distribute to the higher worker of quality；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, that is, are meeting task location requirement
Number of workers when being less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, so
Carry out the distribution of mobile crowdsourcing task on this basis afterwards.
Further, the C2C General Mobile crowdsourcing server is also configured to
One or more task distribution are selected according to the number of workers that task type, current number of workers and task need
Mode carries out task distribution.
Further, the C2C General Mobile crowdsourcing server is also configured to
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task extremely
Task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
Further, the C2C General Mobile crowdsourcing server is also configured to
Receive task execution client task action result while, receive task execution client obtain automatically when
Between the geographical location information of information and automatic sensing.
The third object of the present invention is to provide a kind of C2C General Mobile crowdsourcing system, can be logical to mobile crowdsourcing task
With support, and the corresponding task method of salary distribution can be selected, so that task is distributed to suitable worker faster, greatly shorten task quilt
The time got reduces the time that publisher waits, and improves platform running efficiency.
A kind of C2C General Mobile crowdsourcing system of the invention, comprising:
Task issue client terminal, is configured as: mission bit stream, temporal information and geographical location information are sent to clothes
Business device；
Server is configured as: judging task type, then root according to whether there is location information in the mission bit stream
According to the number of workers that the quantity and task of the worker of acceptable task needs, the corresponding task method of salary distribution is selected, and by task
Push to task execution client；
Task execution client is configured as: executing corresponding task, and task action result is fed back to server；
The server is also configured to received task implementing result being sent to task issue client terminal.
Further, the task issue client terminal is also configured to feed back to the evaluation score of task action result
Server；
The server is also configured to recalculate related worker's according to NS=((num-1) * S+TS)/num
Quality is divided and is saved；NS is new quality point, and num is the total task number amount that worker completes, and S is completed for worker before the task
Quality point, TS are the scoring that worker completes that current task receives.
Further, the mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
Deadline, the task place that needs the implementing result quantity collected and specified task to complete.
Further, the task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to and meet status requirement
Worker；
The preferential method of salary distribution of quality, it is suitable for each generic tasks, in the case where number of workers abundance, preferentially by task
Distribute to the higher worker of quality；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, that is, are meeting task location requirement
Number of workers when being less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, so
Carry out the distribution of mobile crowdsourcing task on this basis afterwards.
Further, the server is also configured to according to task type, current number of workers and task needs
Number of workers select the one or more task methods of salary distribution to carry out task distribution.
Further, the server, is also configured to
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task extremely
Task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
Further, it is automatic to obtain after the task execution client is also configured to the receiving server push of the task
Temporal information and automatic sensing geographical location information, and task action result is fed back into server together.
Compared with prior art, the beneficial effects of the present invention are:
(1) present invention is realized to the mobile general support of crowdsourcing task, and selects the corresponding task method of salary distribution, makes task more
Fast is distributed to suitable worker, the time that the task that substantially reduces is got, and reduces the time of publisher's waiting, improves
Platform running efficiency.
(2) present invention is also provided with worker's Quality Control Links, to task issue client terminal to the anti-of task action result
Feedback is likely to occur ropy worker or malice worker gets the case where cannot completing after task and carries out quality control, guarantees task
The high worker of quality preferentially is distributed to, the probability for making task be completed is bigger, improves the quality of task action result.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is a kind of flow diagram for the method for realizing C2C General Mobile crowdsourcing in the embodiment of the present invention one.
Fig. 2 is server task method of salary distribution process schematic.
Fig. 3 is a kind of flow diagram for the method for realizing C2C General Mobile crowdsourcing in the embodiment of the present invention two.
Fig. 4 is the embodiment schematic diagram that the process for the task of being finally completed is published to from task.
Fig. 5 is a kind of flow diagram for the method for realizing C2C General Mobile crowdsourcing in the embodiment of the present invention three.
Fig. 6 is a kind of flow diagram for the method for realizing C2C General Mobile crowdsourcing in the embodiment of the present invention four.
Fig. 7 is the C2C General Mobile crowdsourcing system structure diagram in the embodiment of the present invention.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Term is explained:
C2C is really the dialect of e-commerce, is interindividual e-commerce.Wherein C refers to disappearing
Fei Zhe is abbreviated as c, and because of 2 hair in English because the English word of consumer is Customer (Consumer)
The same to of sound, so C to C is abbreviated as C2C.C2C, that is, Customer (Consume) to Customer (Consumer).
The meaning of C2C is exactly the e-commerce behavior in the consumer human world.For example a consumer has a computer, passes through
Network is traded, it is sold to another consumer, such type of transaction is known as C2C e-commerce.
In the present invention, the user of task issue client terminal is task publisher, abbreviation publisher；
Task execution client, which receives and completes the user of task, is referred to as worker, and worker includes removing current task publisher
Except all users.
Technical thought of the invention is: being difficult to solve using the form solution partial computer of crowdsourcing but the mankind can be light
Easily solve the problems, such as.So-called " crowdsourcing " refers to the task that a company or mechanism are executed the past by employee, with freedom
Voluntary form is contracted out to the way of unspecific (and being usually large-scale) public network.It, will be former by way of crowdsourcing
This thing for needing to recruit regular worker's completion recruits interim worker by crowdsourcing platform to complete.
The present invention completes the C2C movement of the mobile micro- task of a general support polymorphic type using the concept of mobile crowdsourcing
Crowdsourcing system, the micro- task of movement for collecting all kinds of instantaneity data is completed by internet masses, and the data for needing to collect are most
It is not occur also on internet, can only be obtained on the spot by manpower.
Such as: although may search for the relevant information to the square Quan Cheng from internet, spring city can not be searched
The mostly few this kind of instantaneity data of present taxi, need the talent near the square Quan Cheng available to this kind of near square
Data.
Task issue client terminal as mentioned in the embodiments of the present invention and task execution client may include PC, put down
The internet device that the operations such as plate computer, smart phone, electronic reader, car-mounted terminal and wearable device have APP to apply,
It is communicated by internet with server, the server can be to transport in task issue client terminal and task execution client
The background server of capable APP application.
Embodiment one
Fig. 1 is the flow diagram that the method for C2C General Mobile crowdsourcing is realized in the embodiment of the present invention one, the present embodiment master
If describing from server-side, the method for the realization C2C General Mobile crowdsourcing in the present embodiment as shown in the figure may include:
S101 receives mission bit stream, temporal information and geographical location information that task issue client terminal is sent.
In the specific implementation, mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
The place that deadline, the implementing result quantity that task needs to collect and specified task are completed.
Specifically, publisher fills in the answer that the title of task, description information, task definition, needs are collected in client
Quantity, task issuing time, task deadline, and the position that appointed task is completed.It particularly points out, with existing crowdsourcing website
Unlike, there are two types of forms for task definition:
(1) the first form is that publisher is allowed to give problem and corresponding option.
For example, publication task definition are as follows: " the idle seat in which classroom of Shandong University is relatively more? ", and provide option:
1. 2. 3. five areas 305, other workers for receiving the task can only select one in given option in five areas 303 in five areas 308.It is false
If publisher does not give option, the answer that other workers submit can more dispersed, inadequate concentration, publisher is difficult to basis and receives
Answer obtains useful, unified conclusion.
Answer is limited using form the problem of this given option, can make the answer quality being collected into it is higher,
The requirement for more meeting task publisher facilitates publisher and is drawn a conclusion according to the answer received.
The it is proposed problem of (2) second of form, that is, traditional, does not limit answer range, this by the free fill out answers of worker
Problem form is suitable for collecting richer answer, more fully embodies the value of crowdsourcing, that is, it is big to have polymerize internet
Many wisdom, experience and strength.
S102 judges task type according to whether there is location information in the mission bit stream, further according to acceptable task
Worker quantity and the number of workers that needs of task, select the corresponding task method of salary distribution, and task pushed into task and is held
Row client.
In the specific implementation, the publisher that wants help is in full flat roof area after server receives the task that publisher issues
Interior recruitment is completed to suitable worker.The process for recruiting worker not only needs to consider the efficiency that task is completed, and should also ensure that
The quality that task is completed.
The present invention in order to realize this purpose, combines a variety of distribution methods in systems, the distribution including distance priority
The preferential distribution method of method, quality and the method for allocating tasks based on position prediction, server make according to the demand of task
Task recommendation is given to worker group the most suitable with different distribution methods.
The principle and realization of distribution method is explained further below:
(1) distribution method of distance priority
This distribution method is directed to mobile crowdsourcing task, passes through formula:
D=111.12cos { 1/ [sin ΦAsinΦB+cosΦAcosΦBcos(λB-λA)] calculating task position and worker
The distance of position, wherein A point longitude, latitude are respectively λAAnd ΦA, longitude, the latitude of B point are respectively λBAnd ΦB.If distance D
Less than the threshold value of setting, then the worker can be assigned the task to.
(2) the preferential distribution method of quality
Publisher's right for the answer that evaluation receives is given, publisher provides between 1~5 according to the satisfaction of answer
Integer fraction.Server receives the quality point that worker is recalculated after the evaluation of publisher's feedback, passes through formula NS=((num-
1) * S+TS)/num, NS is new quality point, and num is the total task number amount that worker completes, and S is completed for worker before the task
Quality point, TS are that worker completes the scoring that the task receives.For mobile crowdsourcing task, in the number of workers for meeting distance condition
When the number of workers needed greater than task, then quality point higher worker is preferentially assigned the task to.For common crowdsourcing task,
The distribution of task is then directly carried out according to the sequence of quality point from high to low.
(3) based on the method for allocating tasks of position prediction
When worker logs in, when obtaining task list and when submitting answer, instant temporal information and worker are recorded
Location information (including longitude and latitude, apart from nearest POI title), with the frequent work of the time correlation of these information architectures worker
Then dynamic region carries out position prediction in turn according to the daily Move Mode of worker for excavating the daily Move Mode of worker
Carry out task distribution.
Specific practice is:
Position data in worker's historical record with time correlation is grouped according to the period, every 4 hours will for one group
One day data is divided into 6 groups, and this packet mode is that obtained conclusion is tested by experiment.Then it is carried out by K-means
Cluster, gets the frequent activities region of worker's each period, has so far obtained frequent in each worker each period
The daily Move Mode of zone of action composition worker.Worker's traveling time is predicted according to the daily Move Mode of resulting worker is calculated
Then the task that period near its motion track is suitble to is distributed to him by relevant motion track.
Above-mentioned three kinds of recommended methods may be used alone, it is also possible to be worked, be taken according to priority sequential combination
Number of workers that business device can be needed according to task and the number of workers of task can be distributed instantly which method of salary distribution determined to select,
Its specific method of salary distribution is as shown in Figure 2.The priority of the method for salary distribution are as follows: preferential point of the method for salary distribution > quality of distance priority
With mode > the task method of salary distribution based on position prediction.
Task can be made to be distributed to suitable worker faster in this way, the time that the task that greatly shortens is got reduces hair
The time that cloth person waits improves platform running efficiency.
In an alternative embodiment, the number of workers selection one needed according to task type, current number of workers and task
Kind or the multiple-task method of salary distribution carry out task distribution.
S103 receives the task action result of task execution client.
In the specific implementation, task is pushed to task execution client, task execution client exhibition by the mode of task distribution
Show worker's acceptable task, and be supplied to more detailed mission bit stream, including task description, current schedules, task
The information such as aiming at the problem that including in deadline, the place (mobile crowdsourcing task) of completion task and task.
Task execution client gives worker's right for accepting or rejecting task, if received an assignment, basis is needed to appoint
The requirement of business, which answers a question and shoots relevant picture, is submitted to server, if refusal, task execution client refuse worker
The information of some task feeds back to server, which is distributed to other workers again by server.Client uses Amap
API, if extracting wherein drying method is packaged into the method for being more suitable for this system, worker can one when using task execution client
Intuition answers the position of worker, and by position feedback to server.Client can be automatic when submitting answer by the worker of reception task
Incude the instant geographical location information of the worker, obtain the POI title and longitude and latitude nearest apart from the worker, and by location information
It is submitted to server together with answer.It particularly points out, mobile device can not only collect lteral data as client carrier, also
All kinds of media informations can be collected, such as: image data, audio data etc..
In the present invention, worker does not allow to select local photo when using task execution client addition image data,
New photo can only be shot as answer using the camera that system carries, avoid what picture was played tricks to a certain extent in this way
Situation.The effect of image data has two o'clock: first is that image data itself has value, directly as the answer of problem, such as clapping
Road conditions can intuitively be reflected by taking the photograph traffic information picture；Second is that the auxiliary as answer, keeps answer more abundant, increases answer
Confidence level.
In an alternative embodiment, while receiving the task action result of task execution client, task execution visitor is received
The geographical location information of temporal information and automatic sensing that family end obtains automatically.
Received task implementing result is sent to task issue client terminal by S104.
Server receives the answer of worker's submission, then by answer and the time of answer, location information is submitted to feed back to hair
Cloth person, answer include the answer of problem and relevant photographic intelligence in task.
The present embodiment is realized to the mobile general support of crowdsourcing task, and selects the corresponding task method of salary distribution, makes task more
Fast is distributed to suitable worker, the time that the task that substantially reduces is got, and reduces the time of publisher's waiting, improves
Platform running efficiency.
Example two
As shown in figure 3, the method for the realization C2C General Mobile crowdsourcing in the present embodiment may include:
S105 receives the evaluation score of the task action result of task issue client terminal feedback.
In the specific implementation, in order to enable task publisher to the evaluation for submitting the worker of answer more objective, just, clothes
Device be engaged in as each answer specified one unique answer number, is used for one answer of unique identification, answer number is taken over for chain
Business and the worker for submitting answer.When by answer feedback to publisher, it will not be attached to the worker's information for submitting answer, for publication
For person, it is merely able to the answer seeing answer number, submitting, submit the time of answer and submits the geographical location letter of answer
Breath.Then the evaluation that publisher provides 1 to 5 points to answer feeds back to server.
S106 recalculates the quality of related worker according to NS=((num-1) * S+TS)/num and divides and save；Wherein,
NS is new quality point, and num is the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is work
People completes the scoring that current task receives.
In the specific implementation, getting the work for submitting answer according to answer number after server receives the evaluation of publisher
People's information again calculates the quality of the worker point, calculation formula are as follows: NS=((num-1) * S+TS)/num, NS is new
Quality point, num is the total task number amount that worker completes, and S is that worker completes quality point before the task, and TS is that worker completes
The scoring that the task receives.Then the quality point of the worker in database is reset.
Fig. 4 is the embodiment schematic diagram that the process for the task of being finally completed is published to from task.
As shown in figure 4, server determines task also according to the deadline of the implementing result quantity or task that receive
It completes, stops distribution task to task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
Its object is to help worker to obtain all kinds of instantaneity information, the information more than certain time often loses valence
Value, so the quantity of the deadline of publisher's appointed task and the answer of needs are required in task publication, once it reaches
Deadline is collected into sufficient amount of answer, which is classified as being completed automatically, is no longer allocated to other workers.
Before this, the publisher of task has the right to stop task at any time, and the task that the person of being published stops also not being reallocated
Give other workers.
The present embodiment is also provided with worker's Quality Control Links, to task issue client terminal to the feedback of task action result
It is likely to occur ropy worker or malice worker gets the case where cannot completing after task and carries out quality control, guarantee that task is excellent
The high worker of quality is first distributed to, the probability for making task be completed is bigger, improves the quality of task action result.
Embodiment three
Fig. 5 is a kind of flow diagram for the method for realizing C2C General Mobile crowdsourcing, this reality in another embodiment of the present invention
It applies example mainly to describe from client and server mixing side, the realization C2C General Mobile crowd in the present embodiment as shown in the figure
The method of packet may include:
Mission bit stream, temporal information and geographical location information are sent to server by S201, task issue client terminal.
In the specific implementation, mission bit stream includes the general introduction of task, the detailed description of task, task issuing time, task
The place that deadline, the implementing result quantity that task needs to collect and specified task are completed.
Specifically, publisher fills in the answer that the title of task, description information, task definition, needs are collected in client
Quantity, task issuing time, task deadline, and the position that appointed task is completed.It particularly points out, with existing crowdsourcing website
Unlike, there are two types of forms for task definition:
(1) the first form is that publisher is allowed to give problem and corresponding option.
For example, publication task definition are as follows: " the idle seat in which classroom of Shandong University is relatively more? ", and provide option:
1. 2. 3. five areas 305, other workers for receiving the task can only select one in given option in five areas 303 in five areas 308.It is false
If publisher does not give option, the answer that other workers submit can more dispersed, inadequate concentration, publisher is difficult to basis and receives
Answer obtains useful, unified conclusion.
Answer is limited using form the problem of this given option, can make the answer quality being collected into it is higher,
The requirement for more meeting task publisher facilitates publisher and is drawn a conclusion according to the answer received.
The it is proposed problem of (2) second of form, that is, traditional, does not limit answer range, this by the free fill out answers of worker
Problem form is suitable for collecting richer answer, more fully embodies the value of crowdsourcing, that is, it is big to have polymerize internet
Many wisdom, experience and strength.
S202, server judge task type according to whether there is location information in the mission bit stream, further according to can connect
By the number of workers that the quantity and task of the worker of task need, the corresponding task method of salary distribution is selected, and task is pushed to
Task execution client.
In the specific implementation, the publisher that wants help is in full flat roof area after server receives the task that publisher issues
Interior recruitment is completed to suitable worker.The process for recruiting worker not only needs to consider the efficiency that task is completed, and should also ensure that
The quality that task is completed.
The present invention in order to realize this purpose, combines a variety of distribution methods in systems, the distribution including distance priority
The preferential distribution method of method, quality and the method for allocating tasks based on position prediction, server make according to the demand of task
Task recommendation is given to worker group the most suitable with different distribution methods.
The principle and realization of distribution method is explained further below:
(1) distribution method of distance priority
This distribution method is directed to mobile crowdsourcing task, passes through formula:
D=111.12cos { 1/ [sin ΦAsinΦB+cosΦAcosΦBcos(λB-λA)] calculating task position and worker
The distance of position, wherein A point longitude, latitude are respectively λAAnd ΦA, longitude, the latitude of B point are respectively λBAnd ΦB.If distance D
Less than the threshold value of setting, then the worker can be assigned the task to.
(2) the preferential distribution method of quality
Publisher's right for the answer that evaluation receives is given, publisher provides between 1~5 according to the satisfaction of answer
Integer fraction.Server receives the quality point that worker is recalculated after the evaluation of publisher's feedback, passes through formula NS=((num-
1) * S+TS)/num, NS is new quality point, and num is the total task number amount that worker completes, and S is completed for worker before the task
Quality point, TS are that worker completes the scoring that the task receives.For mobile crowdsourcing task, in the number of workers for meeting distance condition
When the number of workers needed greater than task, then quality point higher worker is preferentially assigned the task to.For common crowdsourcing task,
The distribution of task is then directly carried out according to the sequence of quality point from high to low.
(3) based on the method for allocating tasks of position prediction
When worker logs in, when obtaining task list and when submitting answer, instant temporal information and worker are recorded
Location information (including longitude and latitude, apart from nearest POI title), with the frequent work of the time correlation of these information architectures worker
Then dynamic region carries out position prediction in turn according to the daily Move Mode of worker for excavating the daily Move Mode of worker
Carry out task distribution.
Specific practice is:
Position data in worker's historical record with time correlation is grouped according to the period, every 4 hours will for one group
One day data is divided into 6 groups, and this packet mode is that obtained conclusion is tested by experiment.Then it is carried out by K-means
Cluster, gets the frequent activities region of worker's each period, has so far obtained frequent in each worker each period
The daily Move Mode of zone of action composition worker.Worker's traveling time is predicted according to the daily Move Mode of resulting worker is calculated
Then the task that period near its motion track is suitble to is distributed to him by relevant motion track.
Above-mentioned three kinds of recommended methods may be used alone, it is also possible to be worked, be taken according to priority sequential combination
Number of workers that business device can be needed according to task and the number of workers of task can be distributed instantly which method of salary distribution determined to select,
Its specific method of salary distribution is as shown in Figure 2.The priority of the method for salary distribution are as follows: preferential point of the method for salary distribution > quality of distance priority
With mode > the task method of salary distribution based on position prediction.
Task can be made to be distributed to suitable worker faster in this way, the time that the task that greatly shortens is got reduces hair
The time that cloth person waits improves platform running efficiency.
In an alternative embodiment, the number of workers that server is needed according to task type, current number of workers and task
One or more task methods of salary distribution are selected to carry out task distribution.
S203, task execution client executes corresponding task, and task action result is fed back to server.
In the specific implementation, task is pushed to task execution client, task execution client exhibition by the mode of task distribution
Show worker's acceptable task, and be supplied to more detailed mission bit stream, including task description, current schedules, task
The information such as aiming at the problem that including in deadline, the place (mobile crowdsourcing task) of completion task and task.
Task execution client gives worker's right for accepting or rejecting task, if received an assignment, basis is needed to appoint
The requirement of business, which answers a question and shoots relevant picture, is submitted to server, if refusal, task execution client refuse worker
The information of some task feeds back to server, which is distributed to other workers again by server.Client uses Amap
API, if extracting wherein drying method is packaged into the method for being more suitable for this system, worker can one when using task execution client
Intuition answers the position of worker, and by position feedback to server.Client can be automatic when submitting answer by the worker of reception task
Incude the instant geographical location information of the worker, obtain the POI title and longitude and latitude nearest apart from the worker, and by location information
It is submitted to server together with answer.It particularly points out, mobile device can not only collect lteral data as client carrier, also
All kinds of media informations can be collected, such as: image data, audio data etc..
In the present invention, worker does not allow to select local photo when using task execution client addition image data,
New photo can only be shot as answer using the camera that system carries, avoid what picture was played tricks to a certain extent in this way
Situation.The effect of image data has two o'clock: first is that image data itself has value, directly as the answer of problem, such as clapping
Road conditions can intuitively be reflected by taking the photograph traffic information picture；Second is that the auxiliary as answer, keeps answer more abundant, increases answer
Confidence level.
In an alternative embodiment, while receiving the task action result of task execution client, task execution visitor is received
The geographical location information of temporal information and automatic sensing that family end obtains automatically.
Received task implementing result is sent to task issue client terminal by S204, server.
In the specific implementation, server determines that task is complete according to the deadline of the implementing result quantity or task that receive
At stopping distribution task to task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
Its object is to help worker to obtain all kinds of instantaneity information, the information more than certain time often loses valence
Value, so the quantity of the deadline of publisher's appointed task and the answer of needs are required in task publication, once it reaches
Deadline is collected into sufficient amount of answer, which is classified as being completed automatically, is no longer allocated to other workers.
Before this, the publisher of task has the right to stop task at any time, and the task that the person of being published stops also not being reallocated
Give other workers.
Server receives the answer of worker's submission, then by answer and the time of answer, location information is submitted to feed back to hair
Cloth person, answer include the answer of problem and relevant photographic intelligence in task.
The present embodiment is realized to the mobile general support of crowdsourcing task, and selects the corresponding task method of salary distribution, makes task more
Fast is distributed to suitable worker, the time that the task that substantially reduces is got, and reduces the time of publisher's waiting, improves
Platform running efficiency.
Example IV
As shown in fig. 6, the method for realizing the crowdsourcing of C2C General Mobile can also include:
The evaluation score of task action result is fed back to server by S205, task issue client terminal.
In the specific implementation, in order to enable task publisher to the evaluation for submitting the worker of answer more objective, just, clothes
Device be engaged in as each answer specified one unique answer number, is used for one answer of unique identification, answer number is taken over for chain
Business and the worker for submitting answer.When by answer feedback to publisher, it will not be attached to the worker's information for submitting answer, for publication
For person, it is merely able to the answer seeing answer number, submitting, submit the time of answer and submits the geographical location letter of answer
Breath.Then the evaluation that publisher provides 1 to 5 points to answer feeds back to server.
S206, server recalculate the quality of related worker according to NS=((num-1) * S+TS)/num and divide and protect
It deposits；Wherein, NS is new quality point, and num is the total task number amount that worker completes, and S is that worker completes the quality before the task
Point, TS is the scoring that worker completes that current task receives.
In the specific implementation, getting the work for submitting answer according to answer number after server receives the evaluation of publisher
People's information again calculates the quality of the worker point, calculation formula are as follows: NS=((num-1) * S+TS)/num, NS is new
Quality point, num is the total task number amount that worker completes, and S is that worker completes quality point before the task, and TS is that worker completes
The scoring that the task receives.Then the quality point of the worker in database is reset.
The present embodiment is also provided with worker's Quality Control Links, to task issue client terminal to the feedback of task action result
It is likely to occur ropy worker or malice worker gets the case where cannot completing after task and carries out quality control, guarantee that task is excellent
The high worker of quality is first distributed to, the probability for making task be completed is bigger, improves the quality of task action result.
The present invention also provides a kind of C2C General Mobile crowdsourcing server its, can to the mobile general support of crowdsourcing task,
And the corresponding task method of salary distribution can be selected, so that task is distributed to suitable worker faster, what the task that greatly shortens was got
Time reduces the time that publisher waits, and improves platform running efficiency.
A kind of C2C General Mobile crowdsourcing server of the invention, is configured as executing such as Fig. 1 or Fig. 3 or Fig. 5 or Fig. 6 institute
The method and step for the realization C2C General Mobile crowdsourcing shown.
Wherein, the method and step for specifically realizing the crowdsourcing of C2C General Mobile, is not repeated herein.
Task issue client terminal as mentioned in the embodiments of the present invention and task execution client may include PC, put down
The internet device that the operations such as plate computer, smart phone, electronic reader, car-mounted terminal and wearable device have APP to apply,
It is communicated by internet with server, the server can be to transport in task issue client terminal and task execution client
The background server of capable APP application.
As shown in fig. 7, the C2C General Mobile crowdsourcing system in the embodiment of the present invention at least may include:
(1) task issue client terminal is configured as: mission bit stream, temporal information and geographical location information are transmitted
To server；
Wherein, the mission bit stream includes section of the general introduction of task, the detailed description of task, task issuing time, task
The only place that time, the implementing result quantity that task needs to collect and specified task are completed.
(2) server is configured as: task type is judged according to whether there is location information in the mission bit stream,
The number of workers that quantity and task further according to the worker of acceptable task need selects the corresponding task method of salary distribution, and will
Task pushes to task execution client；
Specifically, the task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to and meet status requirement
Worker；
The preferential method of salary distribution of quality, it is suitable for each generic tasks, in the case where number of workers abundance, preferentially by task
Distribute to the higher worker of quality；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, that is, are meeting task location requirement
Number of workers when being less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, so
Carry out the distribution of mobile crowdsourcing task on this basis afterwards.
The server is also configured to the number of workers needed according to task type, current number of workers and task
One or more task methods of salary distribution are selected to carry out task distribution.
Specifically, the server, is also configured to
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task extremely
Task execution client；
When task issue client terminal actively stops task, also stop distribution task to task execution client.
(3) task execution client is configured as: executing corresponding task, and task action result is fed back to service
Device；
Specifically, after task execution client is also configured to the receiving server push of the task, automatic acquisition time letter
Simultaneously automatic sensing geographical location information is ceased, and task action result is fed back into server together.
In addition, the server is also configured to received task implementing result being sent to task issue client terminal.
In another embodiment, the task issue client terminal is also configured to the evaluation score of task action result
Feed back to server；
The server is also configured to recalculate related worker's according to NS=((num-1) * S+TS)/num
Quality is divided and is saved；NS is new quality point, and num is the total task number amount that worker completes, and S is completed for worker before the task
Quality point, TS are the scoring that worker completes that current task receives.
In the specific implementation, getting the work for submitting answer according to answer number after server receives the evaluation of publisher
People's information again calculates the quality of the worker point, calculation formula are as follows: NS=((num-1) * S+TS)/num, NS is new
Quality point, num is the total task number amount that worker completes, and S is that worker completes quality point before the task, and TS is that worker completes
The scoring that the task receives.Then the quality point of the worker in database is reset.
The present embodiment is also provided with worker's Quality Control Links, to task issue client terminal to the feedback of task action result
It is likely to occur ropy worker or malice worker gets the case where cannot completing after task and carries out quality control, guarantee that task is excellent
The high worker of quality is first distributed to, the probability for making task be completed is bigger, improves the quality of task action result.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the present invention
Formula.Moreover, the present invention, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
AccessMemory, RAM) etc..
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (10)
1. a kind of method for realizing C2C General Mobile crowdsourcing characterized by comprising
Mission bit stream, temporal information and the geographical location information that reception task issue client terminal is sent；
Task type is judged according to whether there is location information in the mission bit stream, further according to the number of the worker of acceptable task
The number of workers that amount and task need, selects the corresponding task method of salary distribution, and task is pushed to task execution client；
Receive the task action result of task execution client；
Received task implementing result is sent to task issue client terminal.
2. a kind of method for realizing C2C General Mobile crowdsourcing as described in claim 1, which is characterized in that this method further include:
The evaluation score of the task action result of reception task issue client terminal feedback；
The quality of related worker, which is recalculated, according to NS=((num-1) * S+TS)/num divides and save；Wherein, NS is new
Quality point, num are the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is that worker completes to work as
The scoring that preceding task receives.
3. a kind of method for realizing C2C General Mobile crowdsourcing as described in claim 1, which is characterized in that the mission bit stream
The execution that detailed description, task issuing time, the deadline of task, the task of general introduction, task including task need to collect
The place that fruiting quantities and specified task are completed；
Or/and
The task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to the work for meeting status requirement
People；
The preferential method of salary distribution of quality, it is suitable for each generic tasks preferentially to distribute task in the case where number of workers abundance
Give quality higher worker；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, i.e., in the work for meeting task location requirement
When people's quantity is less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, is then existed
The distribution of mobile crowdsourcing task is carried out on the basis of this；
Or/and
One or more task methods of salary distribution are selected according to the number of workers that task type, current number of workers and task need
Carry out task distribution；
Or/and
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task to task
Execute client；
When task issue client terminal actively stops task, also stop distribution task to task execution client；
Or/and
While receiving the task action result of task execution client, the time letter that task execution client obtains automatically is received
The geographical location information of breath and automatic sensing.
4. a kind of C2C General Mobile crowdsourcing server, which is characterized in that it is configured as executing following steps:
Mission bit stream, temporal information and the geographical location information that reception task issue client terminal is sent；
Task type is judged according to whether there is location information in the mission bit stream, further according to the number of the worker of acceptable task
The number of workers that amount and task need, selects the corresponding task method of salary distribution, and task is pushed to task execution client；
Receive the task action result of task execution client；
Received task implementing result is sent to task issue client terminal.
5. a kind of C2C General Mobile crowdsourcing server as claimed in claim 4, which is characterized in that the C2C General Mobile is many
Packet server is also configured to
The evaluation score of the task action result of reception task issue client terminal feedback；
The quality of related worker, which is recalculated, according to NS=((num-1) * S+TS)/num divides and save；Wherein, NS is new
Quality point, num are the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is that worker completes to work as
The scoring that preceding task receives；
Or/and
The mission bit stream include the general introduction of task, the detailed description of task, task issuing time, task deadline, appoint
The place that the implementing result quantity and specified task that business needs to collect are completed；
Or/and
The task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to the work for meeting status requirement
People；
The preferential method of salary distribution of quality, it is suitable for each generic tasks preferentially to distribute task in the case where number of workers abundance
Give quality higher worker；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, i.e., in the work for meeting task location requirement
When people's quantity is less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, is then existed
The distribution of mobile crowdsourcing task is carried out on the basis of this；
Or/and
The C2C General Mobile crowdsourcing server is also configured to
One or more task methods of salary distribution are selected according to the number of workers that task type, current number of workers and task need
Carry out task distribution；
Or/and
The C2C General Mobile crowdsourcing server is also configured to
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task to task
Execute client；
When task issue client terminal actively stops task, also stop distribution task to task execution client；
Or/and
The C2C General Mobile crowdsourcing server is also configured to
While receiving the task action result of task execution client, the time letter that task execution client obtains automatically is received
The geographical location information of breath and automatic sensing.
6. a kind of method for realizing C2C General Mobile crowdsourcing characterized by comprising
Mission bit stream, temporal information and geographical location information are sent to server by task issue client terminal；
Server judges task type according to whether there is location information in the mission bit stream, further according to the work of acceptable task
The number of workers that the quantity and task of people needs selects the corresponding task method of salary distribution, and task is pushed to task execution visitor
Family end；
Task execution client executes corresponding task, and task action result is fed back to server；
Received task implementing result is sent to task issue client terminal by server.
7. a kind of method for realizing C2C General Mobile crowdsourcing as claimed in claim 6, which is characterized in that this method further include:
The evaluation score of task action result is fed back to server by task issue client terminal；
Server recalculates the quality of related worker according to NS=((num-1) * S+TS)/num and divides and save；Wherein, NS
It is new quality point, num is the total task number amount that worker completes, and S is that the quality before worker completes the task is divided, and TS is worker
Complete the scoring that current task receives.
8. a kind of method for realizing C2C General Mobile crowdsourcing as claimed in claim 6, which is characterized in that the mission bit stream
The execution that detailed description, task issuing time, the deadline of task, the task of general introduction, task including task need to collect
The place that fruiting quantities and specified task are completed；
Or/and
The task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to the work for meeting status requirement
People；
The preferential method of salary distribution of quality, it is suitable for each generic tasks preferentially to distribute task in the case where number of workers abundance
Give quality higher worker；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, i.e., in the work for meeting task location requirement
When people's quantity is less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, is then existed
The distribution of mobile crowdsourcing task is carried out on the basis of this；
Or/and
Server selects one or more tasks point according to the number of workers that task type, current number of workers and task need
Task distribution is carried out with mode；
Or/and
Server determines that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task
To task execution client；
When task issue client terminal actively stops task, server also stops distribution task to task execution client；
Or/and
After task execution client receives the task of server push, automatic acquisition time information and automatic sensing geographical location letter
Breath, and task action result is fed back into server together.
9. a kind of C2C General Mobile crowdsourcing system characterized by comprising
Task issue client terminal, is configured as: mission bit stream, temporal information and geographical location information are sent to service
Device；
Server is configured as: task type is judged according to whether there is location information in the mission bit stream, further according to can
The number of workers that the quantity and task of the worker to receive an assignment needs selects the corresponding task method of salary distribution, and task is pushed
To task execution client；
Task execution client is configured as: executing corresponding task, and task action result is fed back to server；
The server is also configured to received task implementing result being sent to task issue client terminal.
10. a kind of C2C General Mobile crowdsourcing system as claimed in claim 9, which is characterized in that the task issue client terminal
It is also configured to the evaluation score of task action result feeding back to server；
The server is also configured to recalculate the quality of related worker according to NS=((num-1) * S+TS)/num
Divide and saves；NS is new quality point, and num is the total task number amount that worker completes, and S is that worker completes the quality before the task
Point, TS is the scoring that worker completes that current task receives；
Or/and
The mission bit stream include the general introduction of task, the detailed description of task, task issuing time, task deadline, appoint
The place that the implementing result quantity and specified task that business needs to collect are completed；
Or/and
The task method of salary distribution includes:
The method of salary distribution of distance priority, it is suitable for mobile crowdsourcing tasks, preferentially assign the task to the work for meeting status requirement
People；
The preferential method of salary distribution of quality, it is suitable for each generic tasks preferentially to distribute task in the case where number of workers abundance
Give quality higher worker；
The task method of salary distribution based on position prediction, it is suitable for mobile crowdsourcing tasks, i.e., in the work for meeting task location requirement
When people's quantity is less than the number of workers that mobile crowdsourcing task needs, position prediction is carried out according to the motion track of worker, is then existed
The distribution of mobile crowdsourcing task is carried out on the basis of this；
Or/and
The server is also configured to the number of workers selection needed according to task type, current number of workers and task
One or more task methods of salary distribution carry out task distribution；
Or/and
The server, is also configured to
Determine that task is completed according to the deadline of the implementing result quantity or task that receive, stops distribution task to task
Execute client；
When task issue client terminal actively stops task, also stop distribution task to task execution client；
Or/and
After the task execution client is also configured to the receiving server push of the task, automatic acquisition time information and from
Innervation answers geographical location information, and task action result is fed back to server together.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117455200A (en) * | 2023-12-22 | 2024-01-26 | 烟台大学 | Multi-stage task allocation method, system, equipment and medium in crowdsourcing environment |
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Cited By (10)
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| CN109993399A (en) * | 2019-01-25 | 2019-07-09 | 杭州易明远科技有限公司 | A kind of convenient and fast geography information TT&C system of operation |
| CN109858640A (en) * | 2019-01-30 | 2019-06-07 | 国网河南省电力公司商丘供电公司 | A kind of electric power maintenance remote control system and method |
| CN110135685A (en) * | 2019-04-04 | 2019-08-16 | 中车工业研究院有限公司 | A kind of distribution method and device of product design task |
| CN110310028A (en) * | 2019-06-25 | 2019-10-08 | 阿里巴巴集团控股有限公司 | Method and apparatus for crowdsourcing |
| CN110310028B (en) * | 2019-06-25 | 2023-08-29 | 创新先进技术有限公司 | Method and apparatus for crowdsourcing |
| CN110489235A (en) * | 2019-08-20 | 2019-11-22 | 西北工业大学 | A kind of mobile crowdsourcing method for allocating tasks based on HEFT |
| CN111212102A (en) * | 2019-11-29 | 2020-05-29 | 泰康保险集团股份有限公司 | Task push management method, device and system, storage medium and electronic equipment |
| CN111507556A (en) * | 2019-12-09 | 2020-08-07 | 武汉空心科技有限公司 | Task allocation method and system for designated user |
| CN117455200A (en) * | 2023-12-22 | 2024-01-26 | 烟台大学 | Multi-stage task allocation method, system, equipment and medium in crowdsourcing environment |
| CN117455200B (en) * | 2023-12-22 | 2024-03-29 | 烟台大学 | Multi-stage task allocation method, system, equipment and medium in crowdsourcing environment |
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