CN113034054A - Task allocation management method, terminal, storage medium and affiliate server - Google Patents
Task allocation management method, terminal, storage medium and affiliate server Download PDFInfo
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Abstract
The invention relates to the technical field of electronic commerce, in particular to a task allocation management method, a terminal, a storage medium and a banker server. The method comprises the following steps: acquiring task data, splitting the task data according to a preset splitting rule, and acquiring a plurality of subtask data; and transmitting the plurality of subtask data to a platform side server so that the platform side server transmits the plurality of subtask data to corresponding supplier servers, correspondingly receives subtask results returned by the supplier servers, and further receives task results which are summarized and fed back by the platform side server according to the plurality of subtask results. The platform side is used for task matching between the suppliers and the affiliators, so that compared with manual negotiation, labor cost is saved, and the problems of unreasonable resource allocation and low matching efficiency caused by artificial subjectivity in the manual matching process are solved.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to a task allocation management method, a terminal, a storage medium and a banker server.
Background
In the business activity, due to the regional difference and professional difference between the supplier and the demand party, information asymmetry exists between the supplier and the demand party, and the business activity often needs to overcome the situation that the information does not correspond to realize the business activity between the supplier and the demand party.
The related technology mainly comprises the steps that matching is realized between a supplier and a demand party through manual searching, and after matching, the information is not corresponding through manual negotiation communication, so that business activities between the supplier and the demand party are realized.
Since the business can be implemented by traversing a plurality of suppliers and demanders, in using the prior art, the applicant found that a great deal of manual involvement is often required in traversing the plurality of suppliers and demanders by manual search and negotiation due to the limited energy of the personnel, thereby increasing the labor cost.
Disclosure of Invention
The invention aims to provide a task allocation management method which can reduce the labor cost of task matching between a supplier and an affiliate.
The above object of the present invention is achieved by the following technical solutions:
a method of task allocation management, the method comprising:
acquiring task data, wherein the task data is used for indicating the requirements of affiliates;
splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data;
transmitting the plurality of subtask data to a platform side server so that the platform side server obtains a plurality of supplier transmission information corresponding to the plurality of subtask data one to one according to a preset matching rule and the plurality of subtask data, and respectively transmitting the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating a transmission address of the supplier servers;
and after the plurality of supplier servers produce a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers, and feed back the plurality of subtask results to the platform side server, receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results.
The platform side is used for task matching between the suppliers and the affiliators, so that compared with manual negotiation, labor cost is saved, and the problems of unreasonable resource allocation and low matching efficiency caused by artificial subjectivity in the manual matching process are solved.
Optionally, the splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data includes:
retrieving the task data and obtaining task keywords;
acquiring the task type of the task data according to the task keywords;
and acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire the plurality of subtask data.
By splitting the task, the unreasonable resource configuration and the prolongation of delivery time caused by the completion of the task by a single supplier are avoided under the conditions of larger task amount and longer time period, so that the cost is further reduced, and the efficiency is improved.
Optionally, the transmitting the plurality of subtask data to the platform side server includes:
and transmitting the affiliate qualification information and the plurality of subtask data to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one by one according to the affiliate qualification information, the plurality of subtask data and the provider information uploaded by the provider server, wherein the provider information comprises provider qualification information and the provider transmission information.
Because the supplier qualification information describes the task delivery capacity of the supplier, the supplier server corresponding to the task data is matched through the task data and the supplier qualification information, so that the affiliated supplier can obtain the optimal supplier corresponding to the task, the delivery of the task is ensured, and the efficiency is further improved.
Optionally, after obtaining the task result, the method further includes:
and checking and accepting the task result according to a checking and accepting rule.
The task is checked and accepted through the task result, supervision in the task execution process is achieved, the joint operator can conveniently control the task progress and the task quality, efficiency is improved, and the joint operator can be further conveniently used.
The invention also aims to provide the affiliate server which can reduce the labor cost of task matching between the supplier and the affiliate.
The second aim of the invention is realized by the following technical scheme:
a affiliate server, the server comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring task data, and the task data is used for indicating the requirements of affiliates;
the splitting module is used for splitting the task data according to a preset splitting rule and obtaining a plurality of subtask data;
the transmission module is used for transmitting the plurality of subtask data to a platform side server so that the platform side server can obtain a plurality of supplier transmission information which are in one-to-one correspondence with the plurality of subtask data according to a preset matching rule and the plurality of subtask data, and respectively send the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating the transmission addresses of the supplier servers;
and the receiving module is used for receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results after the plurality of supplier servers generate a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers and feed back the plurality of subtask results to the platform side server.
The platform side is used for task matching between the suppliers and the affiliators, so that compared with manual negotiation, labor cost is saved, and the problems of unreasonable resource allocation and low matching efficiency caused by artificial subjectivity in the manual matching process are solved.
Optionally, the splitting module is specifically configured to:
retrieving the task data and obtaining task keywords;
acquiring a task type corresponding to the task data according to the task keyword;
and acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire the plurality of subtask data.
By splitting the task, the unreasonable resource configuration and the prolongation of delivery time caused by the completion of the task by a single supplier are avoided under the conditions of larger task amount and longer time period, so that the cost is further reduced, and the efficiency is improved.
Optionally, the transmission module is specifically configured to:
and transmitting the affiliate qualification information and the plurality of subtask data to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one by one according to the affiliate qualification information, the plurality of subtask data and the provider information uploaded by the provider server, wherein the provider information comprises provider qualification information and the provider transmission information.
Because the supplier qualification information describes the task delivery capacity of the supplier, the supplier server corresponding to the task data is matched through the task data and the supplier qualification information, so that the affiliated supplier can obtain the optimal supplier corresponding to the task, the delivery of the task is ensured, and the efficiency is further improved.
Optionally, the affiliate server further includes:
and the acceptance module is used for accepting the task result according to an acceptance rule.
The task is checked and accepted through the task result, supervision in the task execution process is achieved, the joint operator can conveniently control the task progress and the task quality, efficiency is improved, and the joint operator can be further conveniently used.
The invention aims to provide the intelligent terminal which can reduce the labor cost of task matching between a supplier and an affiliate.
The third object of the invention is realized by the following technical scheme:
an intelligent terminal comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute any one of the task allocation management methods.
It is a fourth object of the present invention to provide a computer-readable storage medium that can reduce the labor cost of task matching between a supplier and a affiliate.
The fourth purpose of the invention is realized by the following technical scheme:
a computer-readable storage medium storing a computer program that can be loaded by a processor and that can perform any of the above-described task allocation management methods.
In summary, the invention includes at least one of the following beneficial technical effects:
the labor cost is saved, and the problems of unreasonable resource configuration and low matching efficiency caused by artificial subjectivity in the manual matching process are solved.
Detailed Description
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The first embodiment is as follows:
the embodiment of the invention provides a task allocation management method, which is applied to a task allocation management system, the system comprises a supplier server, a platform side server and a joint operator server, and the method specifically comprises the following steps:
101. and the affiliate server issues the task data and sends the task data to the platform side server, wherein the task data is used for describing the task requirements of the affiliate.
Optionally, the affiliate server further sends affiliate qualification information to the platform server;
the platform side server verifies the task data according to the joint operator qualification information;
102. and the platform side server is used for matching at least one supplier meeting preset conditions according to the task data.
Optionally, the provider server is further configured to send provider qualification information to the platform server;
and the platform side server matches at least one supplier meeting preset conditions according to the supplier qualification information and the task data.
Optionally, according to the task data, matching at least one provider server that meets the preset condition further includes:
splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data;
and according to the preset matching regulation, respectively matching at least one provider server meeting the preset conditions for the plurality of subtask data.
Retrieving task data and obtaining task keywords;
optionally, splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data may be:
acquiring a task type corresponding to the task data according to the task keyword;
and acquiring a task splitting flow of the task type, and calling the task splitting flow to split the task data to acquire a plurality of subtask data.
103. The platform-side server is further configured to distribute the task data to at least one provider server.
104. The supplier server is used for executing the task according to the task data.
Receiving a plurality of subtask results respectively fed back by at least one provider server;
verifying the plurality of subtask results respectively; if all the verification passes, generating a task result according to a plurality of subtask results;
and feeding back the task result to the affiliate server.
It should be noted that the system according to the embodiment of the present invention may further include a plurality of platform side terminals, a plurality of affiliate terminals, and a plurality of supplier terminals, and in practical applications, the platform side terminals, the affiliate terminals, and the supplier terminals may be tablet computers, mobile phones, or personal computers.
The platform side terminal, the affiliate terminal and the supplier terminal are respectively provided with application programs capable of realizing the method of the embodiment of the invention, wherein: the plurality of affiliate terminals are connected with the affiliate server, after the affiliate personnel start and log in the application program at the affiliate terminals, the application program displays the functional module and the interface corresponding to the affiliate, and the affiliate realizes the input of task data, the acceptance of tasks and the payment of the tasks through the functional module; the affiliate terminal sends the task data to the platform side server so that the platform side server can issue the task data; the affiliated business terminal receives the task result or the task sub-result sent by the platform side server to realize the acceptance of the task; the affiliated merchant terminal initiates payment to the platform side terminal to realize the payment of the task; the function module can be a task input module, a task acceptance module and a task payment module, and the interface can be a task input interface, a task acceptance interface and a task payment interface.
The platform side terminals are connected with the platform side server, after the platform side personnel can start and log in the application program at the platform side terminals, the application program displays the functional module and the interface corresponding to the platform side, and the platform side realizes the acceptance of the task, the release of the task and the payment of the task through the functional module; the platform side terminal receives a task result or a task sub-result sent by the platform side server to realize the acceptance of the task; the platform side terminal sends a task issuing instruction to the platform side server to realize the issuing of the task; the platform side terminal initiates payment to the supplier terminal to realize the payment of the task; illustratively, the functional modules can be a task publishing module, a task acceptance module and a task payment module, and the interfaces can be a task publishing interface, a task acceptance interface and a task payment interface.
The plurality of supplier terminals are connected with the supplier server, after the supplier personnel start and log in the application program at the supplier terminals, the application program displays the functional module and the interface corresponding to the supplier, and the supplier realizes the acquisition of tasks, the payment of the tasks and the uploading of task results or task sub-results through the functional module; the supplier terminal receives the task data sent by the supplier server to realize the acquisition of the task; the supplier terminal uploads the task result or the task sub-result to the supplier server so as to realize the uploading of the task result or the task sub-result; receiving payment initiated by a platform side terminal to realize task payment; the function module can be a task obtaining module, a task result or task sub-result uploading module and a task payment module, and the interface can be a task obtaining interface, a task result or task sub-result uploading interface and a task payment interface.
In addition, all affiliates are matched through the platform server according to the qualification information of the supplier, and the information of all the affiliates is sent to the supplier, so that the supplier can know all the affiliates which can be served by the supplier, and the holographic energization of the supplier is realized;
similarly, all suppliers are matched through the platform side server according to the resource and task requirements of the affiliate, and the information of all suppliers is sent to the affiliate, so that the affiliate can know all suppliers capable of realizing the task requirements, and holographic energization of the affiliate is realized;
holographic enabling as described in the embodiments of the present invention may be understood as a provider viewing all relevant affiliates, which affiliates may view all relevant providers.
Example two:
a task allocation management method specifically comprises the following steps:
201. and acquiring task data.
Wherein the task data is used for indicating the needs of the affiliate.
Specifically, if the demand of the affiliate indicated by the task data is a commodity purchasing demand, the task data may include commodity feature information, commodity purchasing quantity, commodity arrival time limit, and commodity unit price limit.
The commodity characteristic information is used for explaining the type and specification of commodities to be purchased by the affiliate;
the commodity purchasing quantity is used for explaining the number of commodities to be purchased by the affiliated business;
the commodity arrival time limit is used for explaining the latest arrival time of the commodity required by the joint operator;
the unit price limit of the commodity is used for explaining that the affiliate limits the maximum purchase price of the commodity.
If the requirement of the affiliate indicated by the task data is a software development requirement, the task data may include software function description information, software development time limit, and software development quota.
The software function description information is used for explaining the function description and the operation environment condition of software to be developed by the affiliate;
the software development time limit is used for explaining the latest delivery time of the software which can be received by the affiliate;
the software development allowance is used to account for the maximum development cost of the software that the affiliate can accept.
If the demand of the affiliate indicated by the task data is online education demand, the task data may include a class of course, a class of subject, a limit of the course, and a time limit of the course.
The course categories are used for explaining the course categories corresponding to the online education resources required by the affiliates, and can be mathematics, English, music and the like;
the age group of the course object is used for explaining the age level suitable for the online education resources required by the affiliate, and can be primary school, middle school, high school and the like;
the course quota is used for explaining the maximum selling price of the online education resources required by the affiliate;
the course time limit is used for explaining the teaching time range of the online education resources required by the affiliate.
If the demand of the affiliate indicated by the task data is a vehicle modification demand, the task data may include vehicle original data, vehicle modification data, a vehicle modification time limit, and a vehicle modification limit.
The original vehicle data are used for explaining the appearance information of the vehicle which is required by the affiliate to be modified and is not modified;
the vehicle modification data is used for explaining appearance information expected to be achieved by a modified vehicle required by a joint dealer after modification;
the vehicle modification time limit is used for explaining the latest time for modifying the vehicle required by the affiliate to complete the modification process;
the vehicle refinish limit is used to illustrate the highest quote required by the affiliate to refit the vehicle to complete the refinish process.
In practical applications, the content included in the task data may be adaptively adjusted according to the needs of the affiliate, and the specific task data is not limited in the embodiment of the present application.
202. And splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data.
Specifically, the execution process of step 202 may be:
2021. and retrieving the task data and obtaining the task keywords.
And extracting the text information in the task data, and searching the text information by using a preset keyword library to further obtain a plurality of task keywords carried in the task data.
For example, if the task data indicates a commodity purchasing requirement, the corresponding task keyword may be a home appliance, a garment, a cosmetic, or the like.
If the task data indicates software development requirements, the corresponding task keywords can be databases, messages, functions and the like.
If the task data indicate online education needs, the corresponding task keywords may be class hours, scores, assignments, and the like.
If the task data indicate the vehicle modification requirement, the corresponding task keywords can be the vehicle paint color, the vehicle type, the tire and the like.
The setting of the keyword library can be correspondingly completed by taking a plurality of keywords in the historical task data in a manual identification mode.
2022. And acquiring the task type of the task data according to the task keywords.
The task type obtaining process may be:
and taking the task keywords as query conditions, retrieving in a preset type database, and including task type elements of the task keywords, namely the task types corresponding to the task data.
The type database at least comprises four elements of a commodity purchasing task, a software development task, an online education task and a vehicle transformation task, and each element is correspondingly provided with a relevant key word set.
The generating process of the keyword set corresponding to the above elements may be:
acquiring historical task data which is processed and completed in the past;
obtaining a plurality of historical keywords according to historical task data, and generating a keyword set according to the plurality of historical keywords;
obtaining a historical task type according to historical task data;
and establishing a mapping relation between the historical task type and the keyword set.
2023. And acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire a plurality of subtask data.
If the task type is a commodity purchasing task, the corresponding task splitting process is as follows:
and splitting the task data, and obtaining purchasing subtask data and logistics subtask data.
The purchasing subtask data is used for indicating information of commodities to be purchased;
the logistics subtask data is used for indicating the transportation requirement of the commodity purchased by the purchasing subtask.
If the task type is a software development task, the corresponding task splitting process is as follows:
searching in a type database according to the task type to obtain historical task data;
and transmitting the historical task data and the task data to the architect role, so that the architect role correspondingly completes the task data splitting work by referring to the historical task data, and a plurality of subtask data are obtained.
If the task type is an online education task, the corresponding task splitting process is as follows:
and splitting the online education task, and obtaining teaching subtask data and examination subtask data.
If the task type is a vehicle modification task, the corresponding task splitting process is as follows:
and splitting the task data, and obtaining design subtask data and modification subtask data.
It should be noted that the task splitting flow may be obtained correspondingly according to a task processing flow of historical task data, or may be generated in a manual setting manner.
203. And transmitting the plurality of subtask data to the platform side server.
Specifically, the joint operator qualification information and the plurality of subtask data are transmitted to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one to one according to the joint operator qualification information, the plurality of subtask data and the provider information uploaded by the provider server.
The provider information includes provider qualification information and provider transmission information, and the provider transmission information is used for indicating a transmission address of a provider server.
The information of the joint operator qualification comprises the name of the joint operator, the personnel scale, the settlement period and the average settlement amount; wherein the settlement period is used for indicating the number of days of the difference between the payment day of the commercial activity and the delivery day of the commercial activity of the affiliated business, and the average settlement amount is used for indicating the average project expenditure amount of the commercial activity outsourced by the affiliated business.
For example, assuming that the settlement period of a certain affiliate is 3 days, the affiliate will complete the payment of the corresponding money within 3 days after the delivery of the commercial event.
The supplier qualification information comprises the name of the supplier, the personnel scale and the delivery satisfaction; the delivery satisfaction is used for indicating the evaluation of the supplier by the joint operator on the delivery efficiency and the delivery quality, and can be any one of 1-star evaluation, 2-star evaluation, 3-star evaluation, 4-star evaluation and 5-star evaluation, wherein the 1-star evaluation is used for explaining the worst evaluation made by the joint operator on the supplier, and the 5-star evaluation is used for explaining the best evaluation made by the joint operator on the supplier.
The obtaining process of the supplier transmission information may be:
and carrying out average calculation on a plurality of delivery satisfaction degrees obtained by the supplier in the historical task data so as to obtain the average satisfaction degree of the supplier.
Repeating the above process until obtaining the average satisfaction degree corresponding to each supplier
And obtaining the credit rating of the affiliate according to the settlement period and the credit evaluation rule of the affiliate.
And calculating the optimal average satisfaction according to the credit rating and the matching rule, and correspondingly obtaining the supplier transmission information corresponding to the optimal average satisfaction.
Illustratively, assume that there is a supplier a and a supplier B simultaneously providing services to an affiliate C, the average satisfaction of the supplier a is 4.2, the average satisfaction of the supplier B is 3.6, and the settlement period of the affiliate C is 1 day.
In addition, the credit rating rule is specifically:
if the settlement period belongs to (0, 3) and the unit is day, the credit rating of the affiliate is judged to be first-class;
if the settlement period belongs to (3, 7) and the unit is day, the credit rating of the affiliate is judged to be two-grade;
and if the settlement period is more than seven days, judging that the credit rating of the affiliate is three, and the like.
The matching rule is specifically as follows:
if the credit rating of the affiliate is equal, then the provider whose matching average satisfaction belongs to (4, 5);
if the credit rating of the affiliate is two, the affiliate is the provider whose matching average satisfaction belongs to (3, 4);
if the credit rating of the affiliate is three, then the provider whose matching average satisfaction is less than or equal to 3 is designated.
According to the credit rating rule and the matching rule, the affiliate C will obtain the provider transmission information of the provider A.
It should be noted that, in practical applications, if the matching rule is that the affiliate matches multiple suppliers, the optimal supplier is the maximum average satisfaction, and if multiple suppliers with the same average satisfaction exist, the supplier with the largest staff size is selected as the optimal supplier.
204. And receiving a task result fed back by the platform side server.
Specifically, after the plurality of supplier servers produce a plurality of subtask results corresponding to the plurality of subtask data one to one according to the plurality of subtask data corresponding to the supplier servers, and feed the plurality of subtask results back to the platform side server, the platform side server receives the task results which are summarized and fed back according to the plurality of subtask results.
205. And checking and accepting the task result according to a checking and accepting rule.
Example three:
a federation merchant server, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring task data, and the task data is used for indicating the requirements of affiliates;
the splitting module is used for splitting the task data according to a preset splitting rule and obtaining a plurality of subtask data;
the transmission module is used for transmitting the plurality of subtask data to a platform side server so that the platform side server can obtain a plurality of supplier transmission information which are in one-to-one correspondence with the plurality of subtask data according to a preset matching rule and the plurality of subtask data, and respectively send the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating the transmission addresses of the supplier servers;
and the receiving module is used for receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results after the plurality of supplier servers generate a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers and feed back the plurality of subtask results to the platform side server.
Optionally, the splitting module is specifically configured to:
retrieving the task data and obtaining task keywords;
acquiring a task type corresponding to the task data according to the task keyword;
and acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire the plurality of subtask data.
Optionally, the transmission module is specifically configured to:
and transmitting the affiliate qualification information and the plurality of subtask data to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one by one according to the affiliate qualification information, the plurality of subtask data and the provider information uploaded by the provider server, wherein the provider information comprises provider qualification information and the provider transmission information.
Optionally, the affiliate server further includes:
and the acceptance module is used for accepting the task result according to an acceptance rule.
Example four:
the embodiment of the application provides an intelligent terminal 4, the server 4 includes a memory 401 and a processor 402, and the number of the processors 402 in the server 3 may be one or more; the memory 401, processor 402 in the device may be connected by a bus or other means.
The memory 401 is used as a computer-readable storage medium for storing software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the task allocation management method in the embodiment of the present application, and the processor 402 executes various functional applications and data processing of the device/terminal/device by executing the software programs, instructions and modules stored in the memory 401, so as to implement the task allocation management method.
Wherein the processor 402 is configured to run the computer program stored in the memory 401, and to implement the following steps:
acquiring task data, wherein the task data is used for indicating the requirements of affiliates;
splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data;
transmitting the plurality of subtask data to a platform side server so that the platform side server obtains a plurality of supplier transmission information corresponding to the plurality of subtask data one to one according to a preset matching rule and the plurality of subtask data, and respectively transmitting the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating a transmission address of the supplier servers;
and after the plurality of supplier servers produce a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers, and feed back the plurality of subtask results to the platform side server, receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results.
In one embodiment, a computer program of the computer device provided in the embodiments of the present application is not limited to the above method operations, and may also perform related operations in the task allocation management method provided in any embodiment of the present application.
The memory 401 may mainly 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 created according to the use of the terminal, and the like. Further, the memory 401 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, the memory 401 may further include memory located remotely from the processor 402, which may be connected to devices/terminals/devices through 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 five:
a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for task allocation management, the method comprising:
acquiring task data, wherein the task data is used for indicating the requirements of affiliates;
splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data;
transmitting the plurality of subtask data to a platform side server so that the platform side server obtains a plurality of supplier transmission information corresponding to the plurality of subtask data one to one according to a preset matching rule and the plurality of subtask data, and respectively transmitting the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating a transmission address of the supplier servers;
and after the plurality of supplier servers produce a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers, and feed back the plurality of subtask results to the platform side server, receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results.
The computer-readable storage media of the embodiments of the present application may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.
Claims (10)
1. A method for managing task allocation, the method comprising:
acquiring and displaying information of all affiliates;
acquiring task data, wherein the task data is used for indicating the requirements of affiliates;
splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data;
transmitting the plurality of subtask data to a platform side server so that the platform side server obtains a plurality of supplier transmission information corresponding to the plurality of subtask data one to one according to a preset matching rule and the plurality of subtask data, and respectively transmitting the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating a transmission address of the supplier servers;
and after the plurality of supplier servers produce a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers, and feed back the plurality of subtask results to the platform side server, receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results.
2. The method according to claim 1, wherein the splitting the task data according to a preset splitting rule, and obtaining a plurality of subtask data comprises:
retrieving the task data and obtaining task keywords;
acquiring a task type corresponding to the task data according to the task keyword;
and acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire the plurality of subtask data.
3. The method of claim 1, wherein the transmitting the plurality of subtask data to a platform-side server comprises:
and transmitting the affiliate qualification information and the plurality of subtask data to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one by one according to the affiliate qualification information, the plurality of subtask data and the provider information uploaded by the provider server, wherein the provider information comprises provider qualification information and the provider transmission information.
4. The method of claim 1, wherein after obtaining the task results, the method further comprises:
and checking and accepting the task result according to a checking and accepting rule.
5. A federation provider server, the server comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring task data, and the task data is used for indicating the requirements of affiliates;
the splitting module is used for splitting the task data according to a preset splitting rule and obtaining a plurality of subtask data;
the transmission module is used for transmitting the plurality of subtask data to a platform side server so that the platform side server can obtain a plurality of supplier transmission information which are in one-to-one correspondence with the plurality of subtask data according to a preset matching rule and the plurality of subtask data, and respectively send the plurality of subtask data to corresponding supplier servers according to the plurality of supplier transmission information, wherein the supplier transmission information is used for indicating the transmission addresses of the supplier servers;
and the receiving module is used for receiving the task results which are summarized and fed back by the platform side server according to the plurality of subtask results after the plurality of supplier servers generate a plurality of subtask results which are in one-to-one correspondence with the plurality of subtask data according to the plurality of subtask data corresponding to the supplier servers and feed back the plurality of subtask results to the platform side server.
6. The affiliate server of claim 5, wherein the splitting module is specifically configured to:
retrieving the task data and obtaining task keywords;
acquiring a task type corresponding to the task data according to the task keyword;
and acquiring a task splitting flow corresponding to the task type, and calling the task splitting flow to split the task data so as to acquire the plurality of subtask data.
7. The affiliate server of claim 5, wherein the transmission module is specifically configured to:
and transmitting the affiliate qualification information and the plurality of subtask data to the platform side server, so that the platform side server obtains a plurality of provider transmission information corresponding to the plurality of subtask data one by one according to the affiliate qualification information, the plurality of subtask data and the provider information uploaded by the provider server, wherein the provider information comprises provider qualification information and the provider transmission information.
8. The affiliate server of claim 5, wherein the affiliate server further comprises:
and the acceptance module is used for accepting the task result according to an acceptance rule.
9. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 4.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 4.
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