CN110138865B - Spatial crowdsourcing task allocation method, device, equipment and storage medium - Google Patents
Spatial crowdsourcing task allocation method, device, equipment and storage medium Download PDFInfo
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- CN110138865B CN110138865B CN201910411282.7A CN201910411282A CN110138865B CN 110138865 B CN110138865 B CN 110138865B CN 201910411282 A CN201910411282 A CN 201910411282A CN 110138865 B CN110138865 B CN 110138865B
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for distributing space crowdsourcing tasks. The method comprises the following steps: acquiring at least one task allocation request; when the task allocation request meets the task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information; and calling the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task. The technical scheme of the embodiment of the invention avoids the problems of single-point failure, dark box operation and the like caused by a centralized server, improves the safety of space crowdsourcing task allocation, comprehensively considers the requirements of task performers and task requesters when performing task allocation, and improves the matching degree between tasks and task performers.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a method, a device, equipment and a storage medium for distributing spatial crowdsourcing tasks.
Background
The method comprises the steps that a space crowdsourcing is carried out to a distributed problem solving mode, specifically, a task requester requests data closely related to a specific position by using positioning information of mobile terminals such as a smart phone, users who voluntarily participate in completing a task drive to a specific place where the task is formulated to collect related data, and then the data are returned to the task requester.
Due to the proliferation of mobile devices and advances in sensor technology, the use of smart phones for data handsets and sharing has become very common for mobile users. With the intelligence and mobility of a large number of mobile users, spatial crowdsourcing has become a new mechanism to enable efficient data collection.
The prior art spatial crowdsourcing mode generally requires task requesters and task performers to rely on trusted third-party servers for task dispatching, trading, and evaluation. Due to the fact that the method is based on the central service architecture, in the process of distributing the space crowdsourcing tasks, a plurality of hidden dangers such as single-point faults and hidden box operation exist, and meanwhile the matching degree between the task performer and the distributed tasks is poor when the space crowdsourcing tasks are distributed.
Disclosure of Invention
The invention provides a space crowdsourcing task allocation method, a space crowdsourcing task allocation device, space crowdsourcing task allocation equipment and a storage medium, which are used for improving the safety of a space crowdsourcing task allocation process, avoiding the occurrence of conditions such as single-point faults and dark box operation and the like, and improving the matching degree between task executors and allocated tasks during task allocation.
In a first aspect, an embodiment of the present invention provides a method for allocating a spatial crowdsourcing task, which is applied to a block chain node, and includes:
acquiring at least one task allocation request;
when the task allocation request meets a task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information;
and the calling result informs the intelligent contract to respectively feed back the task distribution result to the task performer and the task requester corresponding to the distributed tasks.
In a second aspect, an embodiment of the present invention further provides a spatial crowdsourcing task allocation apparatus, configured at a blockchain node, including:
the task allocation request acquisition module is used for acquiring at least one task allocation request;
the task allocation module is used for calling a task allocation intelligent contract to execute the task allocation request when the task allocation request meets a task allocation execution condition so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor and perform task allocation to at least one task executor according to the task information and the user information;
and the distribution result feedback module is used for calling a result notification intelligent contract so as to respectively feed back the task distribution result to the task performer and the task requester corresponding to the distributed tasks.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement a method for spatial crowd-sourced task allocation as provided in an embodiment of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the spatial crowdsourcing task allocation method provided in the embodiment of the first aspect.
The embodiment of the invention obtains at least one task allocation request; when the task allocation request meets the task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information; and calling the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task. According to the technical scheme, the space crowdsourcing task allocation process is migrated to the block chain network, the problems of single-point faults, hidden box operation and the like caused by a centralized server are solved, the safety of the space crowdsourcing task allocation is improved, meanwhile, task allocation is carried out on task executors according to task information and user information by calling a task allocation intelligent contract, the requirements of the task executors and the task requesters are comprehensively considered, and the matching degree between the tasks and the task executors is improved.
Drawings
Fig. 1A is a structural diagram of a spatial crowdsourcing task allocation system according to an embodiment of the present invention;
fig. 1B is a flowchart of a spatial crowdsourcing task allocation method according to a first embodiment of the invention;
fig. 2 is a flowchart of a spatial crowdsourcing task allocation method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a method for allocating a spatial crowdsourcing task according to a third embodiment of the present invention;
fig. 4 is a structural diagram of a spatial crowdsourcing task allocation device in the fourth embodiment of the present invention;
fig. 5 is a structural diagram of an electronic device in the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
To clearly introduce the technical solutions of the embodiments of the present invention, a system for performing spatial crowdsourcing task allocation is first described.
Referring to fig. 1A, a spatial crowd-sourced task allocation system 100 includes a blockchain system 10, task requesters 20, and task performers 30. The task requester 20 is configured to issue task information to the blockchain network, so that the task information is stored in the blockchain maintained by the blockchain system 10; the task performer 30 is configured to publish the user information to the blockchain network, so that the user information is stored in the blockchain maintained by the blockchain system 10; the blockchain system 10 is configured to maintain a blockchain, store task information and/or user information into the blockchain in a manner that a blockchain link point in the blockchain system 10 receives and processes a transaction request, and perform task allocation by invoking a related intelligent contract.
The device used by the task requester 20 or the task executor 30 is an electronic device installed with a client accessing the blockchain system 100, and may be a mobile terminal such as a smart phone or a notebook, or may be a fixed terminal such as a desktop or a personal computer.
The blockchain System 10 may be a blockchain platform such as an ethernet or EOS (Enterprise Operation System). In order to increase the block output speed of the blockchain and reduce the cost of using the blockchain platform, an EOS blockchain platform is typically adopted.
Fig. 1B is a flowchart of a spatial crowdsourcing task allocation method according to a first embodiment of the present invention. The embodiment of the present invention is applicable to the case of using the spatial crowdsourcing task allocation system shown in fig. 1A to allocate spatial crowdsourcing tasks, and the method may be executed by a spatial crowdsourcing task allocation device, which is implemented by software and/or hardware and is specifically configured in an electronic device carrying a block chain node.
As shown in fig. 1B, a method for allocating a spatial crowdsourcing task is applied to a blockchain node, and includes:
and S110, acquiring at least one task allocation request.
The task allocation request is used for requesting the block chain link points in the block chain system to match tasks which are not allocated in the block chain with task executors so as to realize a task allocation function.
Optionally, the task allocation request may be sent by a third-party platform manager in real time or at regular time; or optionally, the task allocation request may also be sent by a task requester or a task executor when the task requester or the task executor has a task allocation requirement.
In an optional implementation manner of the embodiment of the present invention, the obtaining of at least one task allocation request may be: acquiring a task information issuing request sent by a task requester; the task information publishing request comprises task information to be published; calling a task information issuing intelligent contract to execute the task information issuing request so as to store the task information into a block chain; and generating the task allocation request.
The task information at least comprises the execution requirement of the task requester and is used for limiting the execution constraint condition of the task to be issued. For example, at least one of a place constraint condition corresponding to an execution place, a time constraint condition corresponding to a result feedback time, a content constraint condition corresponding to execution content, and an executor constraint condition corresponding to an executor attribute.
Specifically, when a task requester has a task release requirement or receives task allocation requirements of other users, a task information release request is generated based on task information, and the task information release request is sent to the block chain network; after receiving a task information publishing request sent by a task requester, the block chain nodes invoke a task information publishing intelligent contract to execute the task information publishing request, so that the block chain nodes store the task information in a chain mode, and generate a task allocation request in the process of executing the task information publishing request or after executing the task information publishing request.
In another optional implementation manner of the embodiment of the present invention, the obtaining of at least one task allocation request may further be: acquiring a user information issuing request sent by a task executor; the user information publishing request comprises user information to be published; calling a user information issuing intelligent contract to execute the user information issuing request so as to store the user information into a block chain; and generating the task allocation request.
The user information at least comprises task requirements of the task performer and is used for limiting task requirement conditions of the user to be issued. For example, at least one of a place requirement condition corresponding to the execution place, a time requirement condition corresponding to the execution time length, a content requirement condition corresponding to the execution content, and a requester requirement condition corresponding to the requester attribute, etc.
Specifically, when a task executor has a task allocation requirement or receives task allocation requirements of other Honghu lakes, a user information publishing request is generated based on user information and sent to the block chain network; after receiving a user information issuing request sent by a task executor, the block link point calls a user information issuing intelligent contract to execute the user information issuing request, so that the block link point stores the user information in a chain mode, and a task allocation demand is generated in the process of executing the user information issuing request or after executing the user information issuing request.
And S120, when the task allocation request meets task allocation execution conditions, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and performing task allocation to at least one task executor according to the task information and the user information.
Wherein, the task allocation execution condition can be a time condition and/or a quantity condition.
Optionally, the time condition may be an acquisition time of the task allocation request or an issue time of the task allocation request, and the task allocation time node satisfies a current task allocation cycle of the task allocation intelligent contract. Specifically, the task allocation intelligent contract is provided with task allocation time nodes in any task allocation period, and the task allocation time nodes are used for limiting the trigger time of the task allocation intelligent contract, that is, in the current task allocation period, when the task allocation time nodes of the current task allocation period are reached, the task allocation intelligent contract is called, otherwise, the task allocation intelligent contract is not called.
Alternatively, the number condition may be that the number of acquired task allocation requests reaches a set number threshold. For example, the number of the acquired task allocation requests sent by the task performers reaches a first set number threshold; and/or the number of the acquired task allocation requests sent by the task requesters reaches a second set number threshold. Wherein, the first set quantity threshold value and the second set quantity threshold value are set by technicians according to needs or empirical values; the first threshold value and the second threshold value may be the same or different in size. Specifically, after the time node is called for the last time, the task allocation execution can be performed about that the task allocation request sent by the task executor obtained accumulatively reaches a first set quantity threshold, and/or the task allocation request sent by the task requester obtained accumulatively reaches a second set quantity threshold, the task allocation intelligent contract is called, otherwise, the task allocation intelligent contract is not called.
When the block chain nodes receive the task allocation request and judge that the task allocation execution condition is met, calling a task allocation intelligent contract to execute the task allocation request; when a task allocation intelligent contract is called, at least one piece of task information issued by at least one task requester and at least one piece of user information issued by at least one task executor are acquired from the block chain; and binding the task information and the user information, which are matched with the task requirements and the task allocation requirements, according to the task requirements in each task information and the task allocation requirements in each user information, and further performing task allocation to at least one task executor.
In another optional implementation manner of the embodiment of the present invention, the task allocation request sent by the task requester may also carry task information, and the task allocation request sent by the task executor may also carry user information; correspondingly, when a task allocation intelligent contract is called, the block chain node analyzes and acquires at least one piece of task information issued by at least one task requester and at least one piece of user information issued by at least one task executor from the acquired task allocation requests; and binding the task information and the user information, which are matched with the task requirements and the task allocation requirements, according to the task requirements in each task information and the task allocation requirements in each user information, and further performing task allocation to at least one task executor.
And S130, calling the result to inform the intelligent contract so as to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
After the task allocation is completed, the allocated task corresponds to a task requester and at least one task performer. In order to enable task requesters and task executors of the distributed tasks to acquire the task distribution information in time, after the task distribution is completed, the results are called to inform the intelligent contract in real time or at regular time or after trigger information is received, so that the task distribution results are fed back to the task executors and the task requesters corresponding to the distributed tasks. The received trigger information may be an allocation result query request generated by a task requester or a task executor triggering the task allocation client interface, or a result feedback request generated by a third-party organization triggering the task allocation management client interface.
It is understood that after the task allocation is completed, the task performers and the task requesters of the allocated tasks can perform the operations of result feedback, compensation payment and result evaluation after the task allocation in an online or offline manner.
The embodiment of the invention obtains at least one task allocation request; when the task allocation request meets the task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information; and calling the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task. According to the technical scheme, the space crowdsourcing task allocation process is migrated to the block chain network, the problems of single-point faults, hidden box operation and the like caused by a centralized server are solved, the safety of the space crowdsourcing task allocation is improved, meanwhile, task allocation is carried out on task executors according to task information and user information by calling a task allocation intelligent contract, the requirements of the task executors and the task requesters are comprehensively considered, and the matching degree between the tasks and the task executors is improved.
Example two
Fig. 2 is a flowchart of a spatial crowdsourcing task allocation method in the second embodiment of the present invention, and the second embodiment of the present invention performs optimization and improvement on the basis of the technical solutions of the above embodiments.
Further, after the operation of 'calling a result notification intelligent contract' to respectively feed back a task allocation result to a task executor and a task requester corresponding to the allocated task ', additionally' receiving a result submission transaction request sent by the task executor; wherein the result commit transaction request includes a task execution result based on the assigned task; and calling a task result submission intelligent contract to execute the result submission transaction request so as to feed back the task execution result to a task requester' of the distributed task, so as to perfect a space crowdsourcing task distribution mechanism.
A method for allocating a spatial crowdsourcing task as shown in fig. 2 includes:
s210, at least one task allocation request is obtained.
S220, when the task allocation request meets a task allocation execution condition, invoking a task allocation intelligent contract to execute the task allocation request so as to obtain at least one piece of task information issued by a task requester and user information of at least one task executor, and performing task allocation to at least one task executor according to the task information and the user information.
And S230, calling the result to inform the intelligent contract so as to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
S240, receiving a result submission transaction request sent by a task executor; wherein the result commit transaction request includes a task execution result based on the assigned task.
In order to track each execution stage of the assigned task and effectively control the processing dynamics of the spatial crowdsourcing task, after the task assignment result is fed back to the task performer and the task requester corresponding to the assigned task, the task performer can also receive the task performance result fed back after the task performer performs the assigned task according to the task information of the task requester. In order to ensure the safety of the fed-back task execution result, typically, the task executor generates a result submission transaction request based on the task execution result of the assigned task, and sends the generated result submission transaction request to the blockchain network; accordingly, the block chain node receives a result submission transaction request sent by the task performer.
And S250, invoking a task result submission intelligent contract to execute the result submission transaction request so as to feed back the task execution result to a task requester of the distributed task.
And after the block chain node receives the task submitting transaction request, calling a task result submitting intelligent contract to execute the result submitting transaction request, so that in the process of executing the result submitting transaction request, the task execution result is fed back to a task requester of the distributed task and is uplink stored.
After the task allocation results are respectively fed back to the task performer and the task requester corresponding to the allocated tasks, the embodiment of the invention receives a result submission transaction request which is sent by the task performer and comprises the task performance results based on the allocated tasks; and calling a task result to submit an intelligent contract execution result and submit a transaction request so as to feed back the task execution result to a task requester of the distributed task, thereby further perfecting a space crowdsourcing task distribution mechanism and realizing effective tracking of an execution stage of the space crowdsourcing task.
Further, in order to ensure the benefit of the task requester and avoid the task performer from being seriously responsible for performing the assigned task, a task supervision mechanism may be provided so that the task requester can evaluate the task performance results submitted by the task performer.
For example, after the task execution result is fed back to the task requester of the assigned task, the following method can be performed to evaluate the task execution result submitted by the task performer: receiving a result evaluation transaction request sent by a task requester; the result evaluation transaction request comprises evaluation information of a task execution result uploaded by a task executor; and calling a result evaluation intelligent contract to execute the result evaluation transaction request so as to store evaluation information of the task execution result into the block chain.
Optionally, after the task requester acquires the task execution result offline or online from the blockchain, the task requester may perform subjective evaluation on the task execution result according to task requirements in the task information, or perform objective evaluation on the task execution result by using a third-party identification mechanism, and generate a result evaluation transaction request as evaluation information and send the result evaluation transaction request to the blockchain network. Correspondingly, the block chain node receives the result evaluation transaction request sent by the task requester and stores the evaluation result in the result evaluation transaction request in an uplink mode.
Or optionally, after the task requester acquires the task execution result from the offline or online block chain, evaluation information may be generated based on the task execution result and task information corresponding to the task execution result, and a result evaluation transaction request is generated based on the evaluation information and sent to the block chain network. Correspondingly, after receiving a result evaluation transaction request sent by a task requester, the block link nodes analyze and acquire evaluation information, and send the evaluation information to at least one third-party authentication mechanism for evaluation to obtain an evaluation result; and feeding back the evaluation result to the task requester and uplink storing.
Further, in order to further improve the allocation mechanism of the spatial crowdsourcing task, and achieve effective tracking and management of the spatial crowdsourcing task, after feeding back the task execution result to the task requester of the allocated task, the method further includes: receiving a task rewarding transaction request sent by a task requester; the task reward transaction request comprises a reward amount, a reward money transfer account and a reward money transfer account; and calling a task reward intelligent contract to execute the task reward transaction request so as to transfer the reward money with the amount equal to the reward amount from the reward money transfer-out account to the reward money transfer-in account. The reward fund transfer-out account is a user account of the task requester; and transferring the reward money into the account as a user account of the task executor, wherein the reward money is the transfer money set in the task information. Of course, the task requester may also adjust the transfer amount according to the evaluation result of the task execution result submitted by the task performer.
EXAMPLE III
Fig. 3 is a flowchart of a method for allocating a spatial crowdsourcing task in a third embodiment of the present invention, and the third embodiment of the present invention performs optimization and improvement on the basis of the technical solutions of the foregoing embodiments.
Further, the operation of invoking the task allocation intelligent contract to execute the task allocation request is refined into the operation of receiving task allocation trigger information sent by a matching trigger user and invoking the task allocation intelligent contract to execute the task allocation request according to the task allocation trigger information; and the matching triggers a user to determine according to the sending time and/or the sending sequence of the task allocation request so as to reduce the calling times of the task intelligent contract and improve the allocation mechanism of the spatial crowdsourcing task.
Further, after the operation of 'calling result notification intelligent contract' to feed back task allocation result to task performers and task requesters corresponding to the allocated tasks respectively ', additionally' receiving compensation transfer request; wherein the compensation transfer request includes a compensation amount for compensation, a transfer-in account and at least one transfer-out account; invoking a compensation transfer intelligent contract to execute the compensation transfer request so as to transfer compensation equal to the compensation amount from the transfer-out account to the transfer-in account; wherein the transferred account is the account address of the matching triggering user; the roll-out account is the account address of other users except the matched triggering user in the task performer and the task requester corresponding to the assigned task, so as to compensate the payment amount of the matched triggering user and ensure that the task performer and the task requester can not be treated differently.
A method for allocating a spatial crowdsourcing task as shown in fig. 3 includes:
s310, at least one task allocation request is obtained.
S320, when the task allocation request meets the task allocation execution condition, receiving task allocation trigger information sent by a matching trigger user, calling a task allocation intelligent contract according to the task allocation trigger information to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and performing task allocation to at least one task executor according to the task information and the user information.
Wherein the matching triggers a user to determine according to a sending time and/or a sending order of the task allocation requests.
Illustratively, determining the matching triggering user according to the sending time of the task allocation request may be: and receiving each task allocation request in the current task allocation period of the task allocation intelligent contract, and responding to only one task allocation request in the task allocation period. The time for responding the task allocation request is specifically a task allocation time node of the current task allocation period. And responding to the task allocation request, namely calling a task allocation intelligent contract to execute the task allocation request. In order to avoid invalid call of a task allocation intelligent contract when no task allocation request exists and ensure timely response of the task allocation request, a task requester or a task executor corresponding to a first task allocation request received in a current task allocation period is typically selected as a matching trigger user.
Illustratively, determining the matching triggering users according to the sending order of the task allocation requests may be: counting the acquired task allocation requests after the task allocation execution contract is called for the previous time; when the number of the task allocation requests sent by the task performer reaches a first set number threshold value; and/or if the number of the task allocation requests sent by the acquired task requester reaches a second set number threshold, only responding to one task allocation request in the task allocation period. The time for responding to the task allocation request is specifically when the number of the task allocation requests sent by the task performer reaches a first set number threshold and/or when the number of the task allocation requests sent by the task requester reaches a second set number threshold. In order to avoid invalid invocation of a task allocation intelligent contract when there is no task allocation request and to ensure timely response to the task allocation request, typically, the first or last task allocation request received within the current task allocation period is selected, and the corresponding task requester or task executor serves as a matching trigger user.
And S330, calling the result to inform the intelligent contract so as to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
S340, receiving a compensation fund transfer request; wherein the compensation transfer request includes a compensation amount for compensation, a transfer-in account and at least one transfer-out account.
Wherein the transferred account is the account address of the matching triggering user; and the roll-out account is the account addresses of other users except the matched triggering user in the task performer and the task requester corresponding to the assigned task.
And S350, calling a compensation fund transfer intelligent contract to execute the compensation fund transfer request so as to transfer compensation funds with the same amount as the compensation amount from the transfer-out account to the transfer-in account.
It should be noted that, since the matching trigger user invokes the task allocation intelligent contract once more than the task performers corresponding to the allocated tasks and other users except the matching trigger user in the task requester, the matching trigger user will pay more than other users for invoking the intelligent contract. The calling of the task allocation intelligent contract can also allocate tasks to other users besides the task allocation of the matching triggering user, so that the task performer who successfully allocates the tasks and other users in the task requester need to pay a compensation to the matching triggering user.
Illustratively, while the task allocation result is fed back to the task performer and the task requester corresponding to the allocated task, the account address of at least one task performer and task requester with successfully allocated task is sent to the task performer and task requester with successfully allocated task, and the compensation amount of compensation required by each task performer and task requester to be paid to the matching trigger user is calculated accordingly.
Optionally, the matching triggering user generates a compensation fund transfer request based on account addresses of other users in the task performer and the task requester for which the task is successfully distributed, the account address of the matching triggering user and compensation amounts of compensation corresponding to the other users, and sends the generated compensation fund transfer request to the block chain network. Correspondingly, the block chain node receives the compensation fund transfer request and calls a compensation fund transfer intelligent contract to execute the compensation fund transfer request so as to transfer compensation with the amount equal to the compensation amount from the roll-out account to the roll-in account.
Or optionally, the task performer and other users in the task requester who successfully distribute the tasks generate compensation money transfer requests according to the account addresses of the task performer and the task requester, the compensation money amounts and the account addresses of the matched triggering users, and the generated compensation money transfer requests are sent to the block chain network. Correspondingly, the block chain link point receives the compensation transfer request and calls a compensation transfer intelligent contract to execute the compensation transfer request so as to transfer compensation with the amount equal to the compensation amount from the roll-out account to the roll-in account.
It can be understood that, when the compensation amount of the compensation element contained in the transfer-out account is insufficient, the compensation element can be converted into other elements according to the exchange rate between different compensation elements, and the other elements are used for performing equal compensation on the transfer-in account.
The embodiment of the invention refines the operation of executing the task allocation request by calling the task allocation intelligent contract into receiving the task allocation trigger information sent by the matching trigger user, and calls the task allocation intelligent contract to execute the task allocation request according to the task allocation trigger information, so that the effect of carrying out multi-task matching by calling the task allocation intelligent contract once is realized, the calling times of the task intelligent contract are reduced, and the allocation mechanism of the space crowdsourcing task is further improved.
The embodiment of the invention also informs the intelligent contract in the calling result to respectively feed back the task allocation result to the task executor and the task requester corresponding to the allocated task, and then additionally receives a compensation transfer request; wherein the compensation transfer request includes a compensation amount for compensation, a transfer-in account and at least one transfer-out account; and calling a compensation fund transfer intelligent contract to execute the compensation fund transfer request so as to transfer compensation with the amount equal to the compensation amount from the roll-out account to the roll-in account, so that compensation is realized for the cost of the calling task distribution intelligent contract paid by the matching trigger user, the indiscriminate treatment between the task executor and the task requester is ensured, and the personal rights and interests of the matching trigger user are effectively ensured.
It will be appreciated that in order to effectively supervise compensation transfer activity, a supervision action on compensation transfer activity may be added after invoking a compensation transfer intelligent contract to execute the compensation transfer request to transfer compensation from the roll-out account to the roll-in account in an amount equal to the compensation amount. Illustratively, compensation transfer activity may be supervised by: acquiring a compensation check transaction request; wherein the compensation check transaction request includes a compensation amount for a compensation, a transfer-in account for a compensation, and at least one transfer-out account; invoking a compensation check intelligent contract to execute the compensation check transaction request to check whether compensation money equal to the compensation amount is transferred from the transfer-out account to the transfer-in account.
Optionally, the compensation check transaction request may be autonomously generated by the block link point after the intelligent contract is notified by the call result, and is triggered and sent after a set time period; and the same block chain node or different block chain nodes make the call of the compensation check intelligent contract and execute the compensation check transaction request.
Or optionally, the matching triggering user generates a compensation check transaction request based on the compensation amount of the compensation, the transfer-in account of the compensation and at least one transfer-out account, and sends the compensation check transaction request to the block link network; correspondingly, the block chain node receives the compensation check transaction request and executes the compensation check transaction request by calling a compensation check intelligent contract to check whether compensation money equal to the compensation amount is transferred from the transfer-out account to the transfer-in account.
Example four
Fig. 4 is a structural diagram of a spatial crowdsourcing task allocation device in a fourth embodiment of the present invention. The embodiment of the invention is suitable for the condition of adopting the space crowdsourcing task allocation system shown in fig. 1A to allocate space crowdsourcing tasks, and the device is realized by software and/or hardware and is specifically configured in electronic equipment carrying block chain nodes.
A spatial crowdsourcing task allocation apparatus as shown in fig. 4, includes: a task allocation request acquisition module 410, a task allocation module 420 and an allocation result feedback module 430.
The task allocation request obtaining module 410 is configured to obtain at least one task allocation request;
the task allocation module 420 is configured to invoke a task allocation intelligent contract to execute the task allocation request when the task allocation request meets a task allocation execution condition, so as to obtain at least one piece of task information issued by a task requester and user information of at least one task executor, and perform task allocation to at least one task executor according to each piece of task information and each piece of user information;
and the allocation result feedback module 430 is configured to invoke the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
The embodiment of the invention obtains at least one task allocation request through a task allocation request obtaining module; when the task allocation request meets the task allocation execution condition, a task allocation intelligent contract is called to execute the task allocation request through a task allocation module so as to obtain at least one piece of task information issued by a task requester and user information of at least one task executor, and task allocation is carried out on at least one task executor according to the task information and the user information; and calling a result notification intelligent contract through the allocation result feedback module so as to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task. According to the technical scheme, the space crowdsourcing task allocation process is migrated to the block chain network, the problems of single-point faults, hidden box operation and the like caused by a centralized server are solved, the safety of the space crowdsourcing task allocation is improved, meanwhile, task allocation is carried out on task executors according to task information and user information by calling a task allocation intelligent contract, the requirements of the task executors and the task requesters are comprehensively considered, and the matching degree between the tasks and the task executors is improved.
Further, the task allocation request satisfies a task allocation execution condition, including:
the task allocation time node of the task allocation request, the acquisition time of which meets the current task allocation cycle of the task allocation intelligent contract; and/or the presence of a gas in the gas,
and the number of the acquired task allocation requests reaches a set number threshold.
Further, the task allocation module 420 is specifically configured to:
receiving task allocation trigger information sent by a matched trigger user, and calling a task allocation intelligent contract to execute the task allocation request according to the task allocation trigger information;
wherein the matching triggers a user to determine according to a sending time and/or a sending order of the task allocation requests.
Further, the apparatus includes a compensation transfer module to:
after the calling result informs the intelligent contract to respectively feed back the task allocation result to the task executor and the task requester corresponding to the allocated task, receiving a compensation fund transfer request; wherein the compensation transfer request includes a compensation amount for compensation, a transfer-in account and at least one transfer-out account;
invoking a compensation transfer intelligent contract to execute the compensation transfer request so as to transfer compensation equal to the compensation amount from the transfer-out account to the transfer-in account;
wherein the transferred account is the account address of the matching triggering user; and the roll-out account is the account addresses of other users except the matched triggering user in the task performer and the task requester corresponding to the assigned task.
Further, the apparatus includes a compensation check module configured to:
after calling a compensation fund transfer intelligent contract to execute the compensation fund transfer request so as to transfer compensation funds with the same amount as the compensation amount from a transfer-out account to a transfer-in account, acquiring a compensation check transaction request; wherein the compensation check transaction request includes a compensation amount for a compensation, a transfer-in account for a compensation, and at least one transfer-out account;
invoking a compensation check intelligent contract to execute the compensation check transaction request to check whether compensation money equal to the compensation amount is transferred from the transfer-out account to the transfer-in account.
Further, the task allocation request obtaining module 410 includes:
the task information issuing request acquiring unit is used for acquiring a task information issuing request sent by a task requester; the task information publishing request comprises task information to be published;
the task information issuing unit is used for calling a task information issuing intelligent contract to execute the task information issuing request so as to store the task information into a block chain;
and the task allocation request generating unit is used for generating the task allocation request.
Further, the task allocation request obtaining module 410 includes:
the user information issuing request acquisition unit is used for acquiring a user information issuing request sent by a task executor; the user information publishing request comprises user information to be published;
the user information issuing unit is used for calling a user information issuing intelligent contract to execute the user information issuing request so as to store the user information into the block chain;
and the task allocation request generating unit is used for generating the task allocation request.
Further, the apparatus further comprises a result submission module configured to:
after the intelligent contract is informed of the calling result so as to respectively feed back the task allocation result to the task executor and the task requester corresponding to the allocated task, a result submission transaction request sent by the task executor is received; wherein the result commit transaction request includes a task execution result based on the assigned task;
and calling a task result submission intelligent contract to execute the result submission transaction request so as to feed back the task execution result to a task requester of the distributed task.
Further, the apparatus includes a task rewarding module configured to:
after the task execution result is fed back to the task requester of the distributed task, receiving a task reward transaction request sent by the task requester; the task reward transaction request comprises a reward amount, a reward money transfer account and a reward money transfer account;
and calling a task reward intelligent contract to execute the task reward transaction request so as to transfer the reward money with the amount equal to the reward amount from the reward money transfer-out account to the reward money transfer-in account.
Further, the apparatus further comprises a result evaluation module for:
after the task execution result is fed back to the task requester of the distributed task, a result evaluation transaction request sent by the task requester is received; the result evaluation transaction request comprises evaluation information of a task execution result uploaded by a task executor;
and calling a result evaluation intelligent contract to execute the result evaluation transaction request so as to store evaluation information of the task execution result into the block chain.
The spatial crowdsourcing task allocation device can execute the spatial crowdsourcing task allocation method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects for executing the spatial crowdsourcing task allocation method.
EXAMPLE five
Fig. 5 is a structural diagram of an electronic device in the fifth embodiment of the present invention. The electronic device shown in fig. 5 includes: input device 510, output device 520, processor 530, and storage device 540.
The input device 510 is used for acquiring at least one task allocation request;
an output device 520, configured to feed back the task allocation results to the task performer and the task requester corresponding to the allocated tasks respectively;
one or more processors 530;
a storage 540 for storing one or more programs.
In fig. 5, a processor 530 is taken as an example, the input device 510 in the electronic apparatus may be connected to the output device 520, the processor 530 and the storage device 540 through a bus or other means, and the processor 530 and the storage device 540 are also connected through a bus or other means, which is taken as an example in fig. 5.
In this embodiment, the processor 530 in the electronic device may control the input device 510 to obtain at least one task allocation request; the task allocation method can also be used for calling a task allocation intelligent contract to execute the task allocation request when the task allocation request meets task allocation execution conditions so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and performing task allocation to at least one task executor according to the task information and the user information; the result notification intelligent contract may also be invoked to control the output device 520 to feed back the task allocation results to the task performer and the task requester corresponding to the allocated tasks, respectively.
The storage device 540 in the electronic device is used as a computer-readable storage medium, and may be used to store one or more programs, which may be software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the spatial crowdsourcing task allocation method in the embodiment of the present invention (for example, the task allocation request obtaining module 410, the task allocation module 420, and the allocation result feedback module 430 shown in fig. 4). The processor 530 executes various functional applications and data processing of the electronic device by executing software programs, instructions and modules stored in the storage 540, that is, implements the spatial crowdsourcing task allocation method in the above method embodiment.
The storage device 540 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like (task allocation request, task information, user information, allocation result, and the like as in the above-described embodiments). In addition, the storage 540 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 540 may further include memory located remotely from processor 530, which may be connected to a server over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
EXAMPLE six
The sixth embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a spatial crowdsourcing task allocation device, the method for allocating a spatial crowdsourcing task according to the sixth embodiment of the present invention is implemented, where the method includes: acquiring at least one task allocation request; when the task allocation request meets a task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information; and calling the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A space crowdsourcing task allocation method is applied to a block chain node and is characterized by comprising the following steps:
acquiring at least one task allocation request; the obtaining at least one task allocation request includes:
acquiring a task information issuing request sent by a task requester; the task information publishing request comprises task information to be published; calling a task information issuing intelligent contract to execute the task information issuing request so as to store the task information into a block chain; generating the task allocation request;
and/or the presence of a gas in the atmosphere,
acquiring a user information issuing request sent by a task executor; the user information publishing request comprises user information to be published; calling a user information issuing intelligent contract to execute the user information issuing request so as to store the user information into a block chain; generating the task allocation request;
when the task allocation request meets a task allocation execution condition, calling a task allocation intelligent contract to execute the task allocation request so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor, and allocating tasks to the at least one task executor according to the task information and the user information; the invoking of the task allocation intelligent contract to execute the task allocation request comprises:
receiving task allocation trigger information sent by a matched trigger user, and calling a task allocation intelligent contract to execute the task allocation request according to the task allocation trigger information;
wherein the matching triggers the user to determine according to the sending time and/or the sending order of the task allocation requests;
and calling the result notification intelligent contract to respectively feed back the task allocation result to the task performer and the task requester corresponding to the allocated task.
2. The method of claim 1, wherein the task allocation request satisfies a task allocation execution condition, comprising:
the task allocation time node of the task allocation request, the acquisition time of which meets the current task allocation cycle of the task allocation intelligent contract; and/or the presence of a gas in the gas,
and the number of the acquired task allocation requests reaches a set number threshold.
3. The method of claim 1, wherein after invoking the result notification intelligent contract to feed task assignment results back to task performers and task requesters, respectively, corresponding to assigned tasks, further comprising:
receiving a compensation transfer request; wherein the compensation transfer request includes a compensation amount for compensation, a transfer-in account and at least one transfer-out account;
calling a compensation transfer intelligent contract to execute the compensation transfer request so as to transfer compensation with the amount equal to the compensation amount from the transfer-out account to the transfer-in account;
wherein the transferred account is the account address of the matching triggering user; and the roll-out account is the account addresses of other users except the matched triggering user in the task performer and the task requester corresponding to the assigned task.
4. The method according to claim 3, wherein after invoking a compensation transfer intelligent contract to execute the compensation transfer request to transfer compensation from the roll-out account to the roll-in account in an amount equal to the compensation amount, further comprising:
acquiring a compensation check transaction request; wherein the compensation check transaction request includes a compensation amount for a compensation, a transfer-in account for a compensation, and at least one transfer-out account;
invoking a compensation check intelligent contract to execute the compensation check transaction request to check whether compensation money equal to the compensation amount is transferred from the transfer-out account to the transfer-in account.
5. The method of any one of claims 1-4, wherein after invoking the result notification intelligent contract to feed back task allocation results to task performers and task requesters, respectively, corresponding to the allocated tasks, further comprising:
receiving a result submission transaction request sent by a task executor; wherein the result commit transaction request includes a task execution result based on the assigned task;
and calling a task result submission intelligent contract to execute the result submission transaction request so as to feed back the task execution result to a task requester of the distributed task.
6. A spatial crowdsourcing task allocation device configured at a blockchain node, comprising:
the task allocation request acquisition module is used for acquiring at least one task allocation request;
the task allocation request obtaining module includes:
the task information issuing request acquiring unit is used for acquiring a task information issuing request sent by a task requester; the task information publishing request comprises task information to be published;
the task information issuing unit is used for calling a task information issuing intelligent contract to execute the task information issuing request so as to store the task information into a block chain;
and/or the presence of a gas in the gas,
the user information issuing request acquisition unit is used for acquiring a user information issuing request sent by a task executor; the user information publishing request comprises user information to be published;
the user information issuing unit is used for calling a user information issuing intelligent contract to execute the user information issuing request so as to store the user information into the block chain;
a task allocation request generation unit, configured to generate the task allocation request; the task allocation module is used for calling a task allocation intelligent contract to execute the task allocation request when the task allocation request meets a task allocation execution condition so as to acquire at least one piece of task information issued by a task requester and user information of at least one task executor and perform task allocation to at least one task executor according to the task information and the user information;
the task allocation module is specifically configured to:
receiving task allocation trigger information sent by a matched trigger user, and calling a task allocation intelligent contract to execute the task allocation request according to the task allocation trigger information;
wherein the matching triggers the user to determine according to the sending time and/or the sending order of the task allocation requests; and the distribution result feedback module is used for calling a result notification intelligent contract so as to respectively feed back the task distribution result to the task performer and the task requester corresponding to the distributed tasks.
7. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method for spatial crowd-sourced task allocation as recited in any of claims 1-5.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for spatial crowd-sourced task allocation according to any one of claims 1 to 5.
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| CN110620774B (en) * | 2019-09-20 | 2021-06-08 | 西安电子科技大学 | Position strategy privacy protection method for block downlink space crowdsourcing |
| CN111131508B (en) * | 2019-12-31 | 2022-08-26 | 布比（北京）网络技术有限公司 | Method and system for executing block chain crowdsourcing task and computer equipment |
| CN111191296A (en) * | 2020-04-14 | 2020-05-22 | 国网电子商务有限公司 | Working ticket data processing method based on block chain |
| CN111831745B (en) * | 2020-06-05 | 2023-04-18 | 广东科学技术职业学院 | Scheduling method and device of timed intelligent contract |
| CN111899023B (en) * | 2020-08-10 | 2024-01-26 | 成都理工大学 | Block chain-based crowd-sourced method and system for crowd-sourced machine learning security through crowd sensing |
| CN113626170B (en) * | 2021-08-23 | 2023-07-18 | 中国联合网络通信集团有限公司 | Control method and device for full life cycle of communication engineering task |
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