WO2018058609A1

WO2018058609A1 - Data collecting method and apparatus based on crowdsourcing, and server

Info

Publication number: WO2018058609A1
Application number: PCT/CN2016/101274
Authority: WO
Inventors: 于文渊; 许松; 张旭; 贾西贝
Original assignee: 深圳市华傲数据技术有限公司
Priority date: 2016-09-30
Filing date: 2016-09-30
Publication date: 2018-04-05

Abstract

Provided is a data collecting method based on crowdsourcing. The method comprises: acquiring a data collection requirement initiated by a task publisher; generating a data collection task according to the data collection requirement, and publishing the data collection task; receiving data which is uploaded by a user side and is collected by a task receiver with respect to the data collection task; checking the authenticity of the data according to a pre-set checking method; and denoising and integrating all pieces of data uploaded by a plurality of user sides. The present invention organically combines various data collection links, such as acquisition of a data collection requirement, generation and publishing of a data collection task, and acquisition and checking of collected data, provides a systematic data collection method, and has a good user experience. By means of checking the authenticity of collected data, falsified data can be effectively recognised, and the problem that a task receiver falsifies data is reduced. By means of denoising and integrating data, the validity of the data can be improved.

Description

Crowdsourcing-based data collection method, device and server

Technical field

The present invention relates to the field of data collection technologies, and in particular, to a crowdsourcing-based data collection method, apparatus, and server.

Background technique

With the development of Internet information and big data analytics technology, today's society in business, economics, government and related fields, decision-making behavior increasingly depends on data and analysis, and is no longer experience and intuition. For example, in the product development stage, enterprises need to conduct market research to study user needs; when the store is site selection, it is necessary to investigate the occupancy rate of nearby communities.

According to the data source, the data can be divided into online data and offline data. The online data is the data existing in the network, and the data can be collected through crawler crawling and other technical means; the offline data refers to the data that needs to be collected in the field, such as The number of flower shops in the city, the release, the size of the store, the occupancy of the community, etc.

Because offline data often has the characteristics of long acquisition time and large regional span, the arrangement of special personnel is low in efficiency and time-sensitive. Therefore, crowd-source collection is generally used to collect offline data. The crowdsourcing acquisition divides the data collection task into multiple sub-items. The task is arranged for multiple users and given a certain commission. The way of completing the entire data collection task by many users can effectively improve the collection efficiency. However, in the prior art, there is a lack of a system data collection scheme, and there is a lack of connection between various links of data collection, and the user experience is poor. In addition, in the existing crowdsourcing collection method, the management of the crowdsourcing task is not perfect, and the task is not perfect. The situation in which the recipient falsifies the data often occurs, so that the authenticity of the data cannot be guaranteed. In addition, the prior art lacks a system data collection scheme, and there is a lack of connection between various links of data collection, and the user experience is poor.

Summary of the invention

In view of the deficiencies in the prior art, the present invention provides a crowdsourcing-based data collection method, apparatus, and server to provide a system data collection scheme, improve user experience, and solve existing crowdsourcing collection methods. The management of crowdsourcing tasks is not perfect, and the situation in which the task recipients falsify data often occurs, resulting in the inability to guarantee the authenticity of the data. The problem of the card.

In a first aspect, the present invention provides a crowdsourcing-based data collection method, including:

Obtain data collection requirements initiated by the task publisher;

Generating a data collection task according to the data collection requirement and publishing the data collection task;

Receiving data collected by the task recipient uploaded by the user for the data collection task;

Review the authenticity of the data according to a preset audit method;

Denoise and integrate all data uploaded by multiple clients.

The crowdsourcing-based data collection method provided by the invention organically combines data acquisition requirements acquisition, data collection task generation and release, and acquisition and review of collected data, and provides a kind of data collection link. The system's crowdsourcing-based data collection method has a good user experience. Among them, through the authenticity verification of the collected data, the forged data can be effectively identified, and the problem of forging data by the task recipient is reduced; All data is denoised and integrated, which can remove bad data in the data and improve the validity of the data.

Optionally, the authenticating of the data is performed according to a preset auditing method, including:

Obtaining sensing information generated by a built-in sensor of the mobile terminal used by the task recipient uploaded by the client to collect the data;

Determining the authenticity of the data based on the sensing information.

The sensing information generated by the built-in sensor of the mobile terminal is objectively generated. Therefore, the reliability of the authenticity of the verification data is high, and the method can effectively determine the authenticity of the data.

Optionally, the data collection requirement is a requirement for collecting data to a designated area;

The acquiring, by the task recipient uploaded by the user, the sensing information generated by the built-in sensor of the mobile terminal used by the data collection, includes:

Obtaining location information generated by a built-in GPS module of the mobile terminal used by the task recipient uploaded by the client to collect the data;

Determining the authenticity of the data according to the sensing information, including:

Matching the location information with location information corresponding to the designated area;

When the matching fails, it is judged that the data is not true.

In the above method, the location information generated by the GPS module and the location information corresponding to the designated area may be inclusively matched to determine whether the task recipient is data collected in the designated area, thereby determining the task recipient. The authenticity of the uploaded data is easy to understand. If the matching fails, the task recipient can be considered not to be involved in the designated area, and the uploaded data may be forged, that is, the data is not true when judging the data. The method is applicable to the situation that the data collection requirement is a requirement for collecting data in a designated area, and the data authenticity is relatively accurate.

It is considered that the review of the task completion situation should be multi-faceted, not only on the one hand, and therefore, optional, the steps of the data collected by the task recipient uploaded by the receiving user for the data collection task. After that, it also includes:

Matching the data with the data collection requirement, and determining a quality of completion of the data collection task according to the matching result.

In general, there are multiple collection indicators in the data collection requirement. In the method, the data is matched with the data collection requirement, and specifically, whether the data meets the foregoing indicators, and if yes, Match, otherwise the match fails. In this way, the execution of the data collection task can be more comprehensively supervised, and the execution degree of the task can be improved to ensure the validity of the data.

Optionally, the obtaining data collection requirements initiated by the task publisher include:

Provide a data collection task dynamic form to the task publisher;

Obtaining the task publisher data collection requirement according to the content input by the task publisher in the data collection task dynamic form.

In the method, the data collection task dynamic form can function as a template, and by providing the task publisher with a data collection task dynamic form, the task publisher can input the data collection requirement more intuitively and quickly, and the form form is more Preface, easy to change, easy to change and adjust during the execution of the task.

Optionally, the publishing the data collection task comprises:

Distributing the data collection task to a designated network crowdsourcing public platform for the task recipient to receive;

or

The data collection task is pushed to the user end of the task recipient who meets the specified condition for the task recipient to receive.

The above provides two ways to publish data collection tasks. The first one is published through the platform, and the task recipients The second is to pre-select the task recipients according to the requirements of the data collection task according to the specified conditions (such as the distance from the collection location, the number of historical tasks completed, the quality of the historical mission completion, etc.), and then Sending a single order to it is more targeted. The task recipients can be screened during the release task phase to improve the success rate and quality of the data collection task.

Optionally, the generating a data collection task according to the data collection requirement includes:

Determining a task publishing mode of the data collection task, where the task publishing mode includes a task subcontracting mode, a task allocation mode, and a basic task pricing;

Generating a data collection task according to the data collection requirement and the task publishing mode.

In this part, the task publishing mode of the data collection task may be determined according to the task density, the number of users of the executable task, the historical score of each user, the spatial distribution of the user, and the like, thereby selecting a more reasonable task publishing mode, and further Make the generated tasks more reasonable to ensure that the data collection task is completed more effectively and reasonably.

Optionally, the crowdsourcing-based data collection method further includes:

The data collection task is dynamically adjusted according to the results of denoising and integration.

The specific implementation manner is to modify the corresponding data collection requirement dynamic form according to the denoising and integrated abnormal data, and adjust the data collection task according to the content of the modified part in the dynamic collection form of the data collection requirement. In this way, it is possible to correct the obvious erroneous data and abnormal data by re-collecting the data, thereby improving the validity of the finally collected data.

In a second aspect, the present invention provides a crowdsourcing-based data collection device, including:

The data collection requirement acquisition module is configured to acquire a data collection requirement initiated by the task publisher;

a data collection task publishing module, configured to generate a data collection task according to the data collection requirement and issue the data collection task;

The collection data receiving module is configured to receive data collected by the task recipient uploaded by the user end for the data collection task;

Collecting data review module for reviewing the authenticity of the data according to a preset audit method;

The data integration module is used for denoising and integrating all data uploaded by multiple clients.

Optionally, the collecting data review module includes:

The sensing information acquiring unit is configured to acquire sensing information generated by a built-in sensor of the mobile terminal used by the task recipient uploaded by the user terminal to collect the data;

The authenticity determining unit is configured to determine the authenticity of the data according to the sensing information.

The sensing information acquiring unit includes:

a location information obtaining sub-unit, configured to acquire location information generated by a built-in GPS module of the mobile terminal used by the task recipient uploaded by the user terminal to collect the data;

The authenticity determining unit includes:

a location matching subunit, configured to match the location information with location information corresponding to the specified area;

The authenticity judging subunit is configured to judge that the data is untrue when the matching fails.

Optionally, the crowdsourcing-based data collection device further includes:

The quality auditing module is configured to match the data with the data collection requirement, and determine a quality of completion of the data collection task according to the matching result.

Optionally, the data collection requirement acquisition module includes:

A dynamic form providing unit for providing a data collection task dynamic form to a task publisher;

The collection requirement acquisition unit is configured to obtain the task publisher data collection requirement according to the content input by the task publisher in the data collection task dynamic form.

Optionally, the data collection task publishing module includes:

a platform publishing unit, configured to publish the data collection task to a designated network crowdsourcing public platform for the task recipient to receive;

or

The push issuing unit is configured to push the data collection task to a user end of the task recipient that meets the specified condition for the task recipient to receive.

Optionally, the data collection task publishing module includes:

a publishing mode determining unit, configured to determine a task publishing mode of the data collection task, where the task publishing mode includes a task subcontracting mode, a task allocation mode, and a basic task pricing;

The collection task generating unit is configured to generate a data collection task according to the data collection requirement and the task publishing mode.

Optionally, the crowdsourcing-based data collection device further includes:

The dynamic adjustment module is configured to dynamically adjust the data collection task according to the result of denoising and integration.

In a third aspect, the present invention provides a crowdsourcing-based data collection server, including: a processor, a memory, a bus interface, a bus, and a transceiver;

The processor, the memory and the bus interface are connected by the bus, the transceiver is connected to the bus interface, and the antenna is connected to the transceiver;

Wherein the memory is used to store a program;

The processor is configured to read a program in the memory, and execute the crowdsourcing-based data collection method according to any one of the present invention;

The transceiver is configured to receive and transmit data under the control of the processor.

The crowdsourcing-based data collection server provided by the present invention and the crowdsourcing-based data collection method are based on the same inventive concept and have the same beneficial effects.

DRAWINGS

In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings to be used in the specific embodiments or the description of the prior art will be briefly described below. In all the figures, like elements or parts are generally identified by like reference numerals. In the figures, elements or parts are not necessarily drawn to scale.

1 is a flow chart showing a crowdsourcing-based data collection method according to a first embodiment of the present invention;

2 is a schematic diagram of a crowdsourcing-based data collection device according to a second embodiment of the present invention;

FIG. 3 is a schematic diagram of a crowdsourcing-based data collection server according to a third embodiment of the present invention.

detailed description

The embodiments of the technical solution of the present invention will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention, and thus are merely exemplary and are not intended to limit the scope of the present invention.

It should be noted that the technical terms or scientific terms used herein should be used in the ordinary meaning as understood by those skilled in the art to which the invention belongs, unless otherwise stated.

The application provides a crowdsourcing-based data collection method, device and server. Embodiments of the present invention will be described below with reference to the accompanying drawings.

It should be noted that the data described in the embodiments of the present invention may be any form of data such as characters, images, sounds, audio and video, or the like. For example, an application scenario of an embodiment of the present invention is that if a real estate agent wants to cut into a market of a certain city, it is necessary to analyze the community situation of the city (such as occupancy rate, floor plan, infrastructure, etc.) of the city. The data collection task can be issued by the method provided by the present invention, and the community resident or freelancer can receive the task, take a photo of the cell, fill in the description information, and the like, and return the data to the server through the mobile phone. The photos and description information are the data that needs to be collected.

FIG. 1 is a flowchart of a crowdsourcing-based data collection method according to a first embodiment of the present invention. As shown in FIG. 1 , a crowdsourcing-based data collection method according to a first embodiment of the present invention is provided. Includes the following steps:

Step S101: Acquire a data collection requirement initiated by the task publisher.

The execution body of the embodiment of the present invention is a server, which is generally installed in the network background, and the data submission requirement of the user is implemented by the user end of the network front end. Therefore, when the step is implemented, the user can edit the user end. After the data collection requirement is sent by the client to the server, the server can obtain the data collection requirement.

In the embodiment provided by the present invention, the data collection requirements initiated by the task publisher are included, as the data collected by the user is different, and the data requirements are different. :

Provide a data collection task dynamic form to the task publisher;

The data collection task dynamic form is an editable form, and the user can freely modify and edit the form to fully express his data collection requirements. In order to realize task change and modification flexibility, the data collection task dynamic form can also be in the collection task. Flexible modification during the execution process to instantly modify the data collection requirements, and then adjust and modify the data collection tasks.

In the embodiment of the present invention, the data collection task dynamic form can function as a template, and by providing the task publisher with a data collection task dynamic form, the task publisher can input the data collection requirement more intuitively and quickly, and at the same time, the form form It is more orderly and easy to change, so it is easy to change and adjust during the execution of the task.

Step S102: Generate a data collection task according to the data collection requirement and issue the data collection task.

After obtaining the data collection requirement, the corresponding data collection task can be generated according to the data collection requirement. A simple implementation manner is to directly input the data collection task dynamic form input in step S101 as the data collection task content; The data may be sub-packaged. In the application scenario of collecting the information of a certain city, the data collection task dynamic form is to collect the task content of a cell, and then import a cell list of the city as seed data, according to the above data collection task. The dynamic form and the cell list can generate a plurality of data collection tasks differentiated by cells (which can be regarded as subtasks of the overall data collection task of the city).

In an embodiment provided by the present invention, the generating a data collection task according to the data collection requirement includes:

The task subcontracting method includes subcontracting or non-subcontracting, and the task allocation manner includes task collection or task assignment. The task distribution pattern may be determined, but not limited to, based on task density, number of users of the executable task, rating of each user, spatial distribution, and the like.

In the embodiment of the present invention, the task publishing mode of the data collection task may be determined according to the task density, the number of users of the executable task, the historical score of each user, the spatial distribution of the user, and the like, thereby selecting a more reasonable task publishing mode. In order to make the generated tasks more reasonable, to ensure that the data collection task is completed more effectively and reasonably.

In addition, in an embodiment provided by the present invention, the publishing the data collection task includes:

or

The above provides two methods for publishing data collection tasks. The first is to be released through the platform, and the task recipients are robbed to receive the order. The second is to pre-select the specified conditions according to the requirements of the data collection task (such as the location of the collection). The task recipients who are close to the distance, the amount of historical tasks completed, the quality of the historical missions, etc., are then assigned to them, which is more targeted. The task recipients can be screened during the release task phase to improve data collection. Set the success rate and quality of the task.

Step S103: Receive data collected by the task recipient uploaded by the user for the data collection task.

The user terminal described in the embodiment of the present invention may be any server device with Internet access functions, such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a notebook computer, a desktop computer, etc., or may be installed on The client software on the server device, the client software can control the server device to perform functions such as data collection, reception, and transmission, which are all within the protection scope of the present invention.

Step S104: Review the authenticity of the data according to a preset auditing method.

In an embodiment provided by the present invention, the authenticity of the data is reviewed according to a preset auditing method, including:

Determining the authenticity of the data based on the sensing information.

In an embodiment provided by the present invention, the data collection requirement is a requirement for collecting data to a designated area;

When the matching fails, it is judged that the data is not true.

In the above method, the location information generated by the GPS module and the location information corresponding to the designated area may be inclusively matched to determine whether the task recipient is data collected in the designated area, thereby determining the task recipient. The authenticity of the uploaded data, it is easy to understand that if the match fails, the task recipient can be considered as not If there is a specified area, the data uploaded by the user may be forged, that is, when the data is judged to be untrue, the method is applicable to the situation that the data collection requirement is to collect data in a designated area, The data authenticity judgment is more accurate.

It is considered that the review of the task completion situation should be multi-faceted, not only on the one hand, and therefore, in an embodiment provided by the present invention, the task recipient uploaded on the receiving client is for the data collection. After the steps of collecting data from the task, it also includes:

Step S105: Denoising and integrating all data uploaded by multiple clients.

In crowdsourced data collection, multiple task recipients will be executed in the same task. Each task recipient may be part of the execution. Finally, the data of each part will be aggregated and integrated. The same content is executed, and finally the data collected by these task recipients needs to be integrated.

Among them, because the data collected by the task recipients may not meet the expected standards, there may be obvious errors in the uploaded data. If these data are used for data analysis, the final analysis results may be adversely affected. It is also necessary to denoise these data and delete the obvious erroneous data and abnormal data.

In the specific implementation, the data can be summarized into multiple index conditions, and corresponding thresholds are set for each index condition, and then the data uploaded by each client is matched according to the above-mentioned index conditions and thresholds, and the data with failed matching is deleted. Is the process of denoising.

Finally, the data uploaded by each client is aggregated and integrated.

In this step, if abnormal data and error data are found, the original data collection task can be modified according to the actual situation, and the corresponding data is re-acquired to ensure the validity of the final data collection result. In an embodiment of the present invention, the crowdsourcing-based data collection method further includes:

The data collection task is dynamically adjusted according to the results of denoising and integration. The specific embodiment is based on Denoising, integrating the abnormal data, modifying the corresponding data collection requirement dynamic form, and adjusting the data collection task according to the content of the modified part in the dynamic form of the data collection requirement. In this way, it is possible to correct the obvious erroneous data and abnormal data by re-collecting the data, thereby improving the validity of the finally collected data. For example, the original data collection task is to collect a floor plan of 200 cells, wherein if the floor plan collected by the 100th cell has a problem, the floor plan data of the cell is re-acquired.

Finally, by denoising and integrating all the data uploaded by multiple clients, the bad data in the data can be removed and the data validity can be improved.

So far, through the steps S101 to S105, the flow of a crowdsourcing-based data collection method provided by the first embodiment of the present invention is completed. Compared with the prior art, the crowdsourcing-based data collection method provided by the present invention organically acquires data acquisition requirements, generates and distributes data collection tasks, and acquires and audits data collected. The combination of the ground provides a systematic crowdsourcing-based data collection method with a good user experience. Among them, through the authenticity verification of the collected data, the forged data can be effectively identified, and the problem of forging data by the task recipient is reduced. By denoising and integrating all data uploaded by multiple clients, the bad data in the data can be removed and the data validity can be improved.

In the first embodiment described above, a crowdsourcing-based data collection method is provided. Correspondingly, the present application further provides a crowdsourcing-based data collection device. Please refer to FIG. 2 , which is a schematic diagram of a crowdsourcing-based data collection device according to a second embodiment of the present invention. Since the device embodiment is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment. The device embodiments described below are merely illustrative.

A crowdsourcing-based data collection device according to a second embodiment of the present invention includes:

The data collection requirement acquisition module 101 is configured to acquire a data collection requirement initiated by the task publisher;

The data collection task issuing module 102 is configured to generate a data collection task according to the data collection requirement and issue the data collection task;

The collection data receiving module 103 is configured to receive data collected by the task recipient uploaded by the user end for the data collection task;

The data collection module 104 is configured to review the authenticity of the data according to a preset audit method;

The data collection integration module 105 is configured to perform denoising and integration on all data uploaded by multiple clients.

In an embodiment provided by the present invention, the collecting data review module 104 includes:

The sensing information acquiring unit includes:

The authenticity determining unit includes:

In an embodiment of the present invention, the crowdsourcing-based data collection device further includes:

In an embodiment of the present invention, the data collection requirement acquisition module 101 includes:

In an embodiment of the present invention, the data collection task issuing module 102 includes:

or

The above is a description of a crowdsourcing-based data collection device according to a second embodiment of the present invention.

A crowdsourcing-based data collection device provided by the present invention has the same beneficial effects as the above-described crowdsourcing-based data collection method, and will not be described herein.

Please refer to FIG. 3 , which is a schematic diagram of a crowdsourcing-based data collection server according to a third embodiment of the present invention. The invention provides a crowdsourcing-based data collection server, comprising: a processor 1, a memory 2, a bus interface 3, a bus 4, and a transceiver 5 and an antenna 6;

The processor 1, the memory 2 and the bus interface 3 are connected by the bus 4, the transceiver 5 is connected to the bus interface 3, and the antenna 6 is connected to the transceiver 5;

Wherein the memory 2 is used to store a program;

The processor 1 is configured to read a program in the memory 2, and execute the crowdsourcing-based data collection method according to any one of the present inventions;

The transceiver 5 is configured to receive and transmit data under the control of the processor 1.

In FIG. 3, a bus architecture (represented by bus 4), which may include any number of interconnected buses and bridges, the bus 4 will include one or more processors represented by processor 1 and a memory represented by memory 2. The various circuits are linked together. The bus 4 can also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be further described herein. The bus interface 3 provides an interface between the bus 4 and the transceiver 5. The transceiver 5 can be an element or a plurality of elements, such as a plurality of receivers and transmitters, providing means for communicating with various other devices on a transmission medium. The data processed by the processor 1 is transmitted over the wireless medium via the antenna 6, and further, the antenna 6 also receives the data and transmits the data to the processor 1. Processor 1 is responsible for managing bus 4 and the usual Processing can also provide a variety of functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory 2 can be used to store data used by the processor 1 when performing operations. Optionally, the processor 1 may be a CPU (Central Embedded Device), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a CPLD (Complex Programmable Logic Device). , complex programmable logic devices).

A crowdsourcing-based data collection server provided by the present invention has the same beneficial effects as the above-described crowdsourcing-based data collection method, and will not be described herein.

In the description of the present specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means a specific feature described in connection with the embodiment or example. A structure, material or feature is included in at least one embodiment or example of the invention. In the present specification, the schematic representation of the above terms is not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, various embodiments or examples described in the specification, as well as features of various embodiments or examples, may be combined and combined.

It should be noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of servers, methods, and computer program products in accordance with various embodiments of the present invention. In this regard, each block of the flowchart or block diagram can represent a module, a program segment, or a portion of code that includes one or more of the Executable instructions. It should also be noted that in some alternative implementations, the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two consecutive blocks may be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented by a dedicated hardware-based server that performs the specified function or action. Or it can be implemented by a combination of dedicated hardware and computer instructions.

The crowdsourcing-based data collection device provided by the embodiments of the present invention may be a computer program product, including a computer readable storage medium storing program code, the program code including instructions may be used to execute the foregoing method embodiments. For the specific implementation, refer to the method embodiment, and details are not described herein again.

A person skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the server, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed server, apparatus, and method may be implemented in other manners. The device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined or Can be integrated into another server, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some communication interface, device or unit, and may be electrical, mechanical or otherwise.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including The instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the foregoing embodiments may be modified, or some or all of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the technical solutions of the embodiments of the present invention. The scope is intended to be included within the scope of the claims and the description of the invention.

Claims

A crowdsourcing-based data collection method, comprising:

Obtain data collection requirements initiated by the task publisher;

Generating a data collection task according to the data collection requirement and publishing the data collection task;

Receiving data collected by the task recipient uploaded by the user for the data collection task;

Review the authenticity of the data according to a preset audit method;

Denoise and integrate all data uploaded by multiple clients.
The crowdsourcing-based data collection method according to claim 1, wherein the reviewing the authenticity of the data according to a preset auditing method comprises:

Obtaining sensing information generated by a built-in sensor of the mobile terminal used by the task recipient uploaded by the client to collect the data;

Determining the authenticity of the data based on the sensing information.
The crowdsourcing-based data collection method according to claim 2, wherein the data collection requirement is a requirement for collecting data to a designated area;

The acquiring, by the task recipient uploaded by the user, the sensing information generated by the built-in sensor of the mobile terminal used by the data collection, includes:

Obtaining location information generated by a built-in GPS module of the mobile terminal used by the task recipient uploaded by the client to collect the data;

Determining the authenticity of the data according to the sensing information, including:

Matching the location information with location information corresponding to the designated area;

When the matching fails, it is judged that the data is not true.
The crowdsourcing-based data collection method according to claim 1, wherein after the step of receiving the data collected by the task recipient uploaded by the user for the data collection task, the method further includes:

Matching the data with the data collection requirement, and determining a quality of completion of the data collection task according to the matching result.
The crowdsourcing-based data collection method according to claim 1, wherein the acquiring data collection requirements initiated by the task publisher includes:

Provide a data collection task dynamic form to the task publisher;

Obtaining the task publisher data collection requirement according to the content input by the task publisher in the data collection task dynamic form.
The crowdsourcing-based data collection method according to claim 1, wherein the publishing the data collection task comprises:

Distributing the data collection task to a designated network crowdsourcing public platform for the task recipient to receive;

or

The data collection task is pushed to the user end of the task recipient who meets the specified condition for the task recipient to receive.
The crowdsourcing-based data collection method according to claim 1, wherein the generating a data collection task according to the data collection requirement comprises:

Determining a task publishing mode of the data collection task, where the task publishing mode includes a task subcontracting mode, a task allocation mode, and a basic task pricing;

Generating a data collection task according to the data collection requirement and the task publishing mode.
The crowdsourcing-based data collection method according to claim 1, further comprising:

The data collection task is dynamically adjusted according to the results of denoising and integration.
A crowdsourcing-based data collection device, comprising:

The data collection requirement acquisition module is configured to acquire a data collection requirement initiated by the task publisher;

a data collection task publishing module, configured to generate a data collection task according to the data collection requirement and issue the data collection task;

The collection data receiving module is configured to receive data collected by the task recipient uploaded by the user end for the data collection task;

Collecting data review module for reviewing the authenticity of the data according to a preset audit method;

The data integration module is used for denoising and integrating all data uploaded by multiple clients.
A crowdsourcing-based data collection server, comprising: a processor, a memory, a bus interface, a bus, a transceiver, and an antenna;

The processor, the memory, and the bus interface are connected by the bus, the transceiver and the total a line interface connection, the antenna being connected to the transceiver;

Wherein the memory is used to store a program;

The processor is configured to read a program in the memory, and execute the crowdsourcing-based data collection method according to any one of claims 1 to 8.

The transceiver is configured to receive and transmit data under the control of the processor.