CN110648196B - Equipment data sharing method and system and storage medium - Google Patents

Equipment data sharing method and system and storage medium Download PDF

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CN110648196B
CN110648196B CN201910809602.4A CN201910809602A CN110648196B CN 110648196 B CN110648196 B CN 110648196B CN 201910809602 A CN201910809602 A CN 201910809602A CN 110648196 B CN110648196 B CN 110648196B
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detection result
product
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CN110648196A (en
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刘新
黄庆财
王玉平
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Shenzhen Xinsi Blockchain Technology Co ltd
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Shenzhen Xinsi Blockchain Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/403Solvency checks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation

Abstract

The embodiment of the application discloses a device data sharing method, a device data sharing system and a storage medium, wherein the method comprises the following steps: combining the types of the data output by the target equipment to generate one or more data application products; publishing shared recruitment information, the shared recruitment information comprising a product identification and a shared price for each data application product; receiving shared application information, wherein the shared application information comprises a user side identifier, a product identifier of a data application product applied by the user side, and payment information; detecting the validity of the shared application information; and distributing the applied data application product to the user side according to the shared application information. The method is beneficial to greatly reducing the data acquisition cost of the user, improving the utilization rate of the equipment and saving the equipment resources.

Description

Equipment data sharing method and system and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and a system for sharing device data, and a storage medium.
Background
At present, with the rapid development of computer technology, the importance of data information in various industries is increasing.
When purchasing a hardware device capable of collecting data, the current purchasing mode is only that an individual or a company completely purchases the hardware device. After the purchase is successful, the data collected by the hardware equipment cannot be completely used, even only one kind of collected data is used, so that the utilization rate of the data is low, and the resource waste is caused. And the cost of purchasing some hardware equipment is high, so that investment is not in proportion to return.
Disclosure of Invention
The embodiment of the application provides a device data sharing method and system and a storage medium, so as to realize the sharing of device data, reduce the cost of data use and improve the utilization rate of the device data.
In a first aspect, an embodiment of the present application provides an apparatus data sharing method, which is applied to a server, and includes:
for example, when multiple users need to purchase the same data-collectable hardware device to obtain data, the device data sharing system combines the types of data output by the target devices to generate one or more data application products. The device data sharing system publishes shared recruitment information including a product identification and a shared price for each data application product. And after receiving the shared recruitment information, the user side fills the shared application information. And the user side sends sharing application information to the equipment data sharing system. Correspondingly, the device data sharing system receives sharing application information sent by the user side, wherein the sharing application information comprises user side identification, product identification of the data application product applied by the user side, and payment information. And the equipment data sharing system distributes the applied data application product to the user side according to the sharing application information.
Therefore, in the equipment data sharing scheme, a new equipment purchasing and using mode is introduced, and the data acquired by the equipment is completely used, so that the data acquisition cost of a user is greatly reduced, the utilization rate of the equipment is improved, and the equipment resources are saved.
In some possible embodiments, combining the types of data output by the target device to generate one or more data application products may include: acquiring the type of data output by target equipment; respectively determining the type of one or more data corresponding to each application scene according to one or more application scenes of the data application output by the target equipment; combining the types of one or more data corresponding to each application scene to generate a data application product; determining a share price for each of the one or more data application products.
In some possible embodiments, the detecting the validity of the shared application information includes: detecting whether the payment information is legal or not, and generating a first detection result, wherein the first detection result comprises legality or non-legality; if the first detection result is legal, correspondingly storing the user side identification and the product identification; detecting whether the product identifiers of all the data application products are paired with the user side identifiers in the corresponding relation between the product identifiers and the user side identifiers to generate a second detection result, wherein the second detection result comprises any one of the following: all paired, partially paired, unpaired;
when the second detection result is that all the target devices are paired, sending a sharing request of the target device;
or the like, or, alternatively,
when the second detection result is partial pairing, performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises pass or fail, and when the third detection result is pass, sending a sharing request of the target device;
performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises pass or fail, and the method comprises the following steps: acquiring the price of target equipment, and setting a minimum cost threshold according to a preset algorithm; adding the transaction amounts contained in all the payment information to obtain a transaction total amount; if the transaction total is larger than the lowest cost threshold value, outputting the third detection result as pass; and if the transaction total is smaller than the lowest cost threshold value, outputting the third detection result as failure.
And after the target equipment is successfully shared, receiving and storing the data output by the target equipment.
In some possible embodiments, the distributing the requested data application product to the user terminal according to the shared request information includes: according to the data application product, classifying and packaging the data to generate a data packet corresponding to the data application product; and distributing the data packet according to the corresponding relation between the product identification and the user side identification.
In a second aspect, an embodiment of the present application further provides an apparatus data sharing system, including;
the generation unit is used for combining the types of the data output by the target equipment to generate one or more data application products;
the publishing unit is used for publishing shared recruitment information, and the shared recruitment information comprises a product identifier and a shared price of each data application product;
the system comprises a receiving unit, a sharing unit and a processing unit, wherein the receiving unit is used for receiving sharing application information, and the sharing application information comprises a user side identifier, a product identifier of a data application product applied by the user side and payment information;
the detection unit is used for detecting the validity of the shared application information;
and the distribution unit is used for distributing the applied data application product to the user side according to the shared application information.
In some possible embodiments, the generating unit specifically includes:
the first determining unit is used for respectively determining one or more data types corresponding to each application scene according to one or more application scenes of the data output by the target device;
the combination unit is used for combining the types of one or more data corresponding to each application scene to generate a data application product;
a second determining unit for determining a share price for each of the one or more data application products.
In some possible embodiments, the detection unit comprises:
the first detection unit is used for detecting whether the payment information is legal or not and generating a first detection result, wherein the first detection result comprises legality or non-legality;
a second detecting unit, configured to detect whether the product identifiers of all the data application products are paired with the user side identifiers in the correspondence between the product identifiers and the user side identifiers, and generate a second detection result, where the second detection result includes any one of the following: all paired, partially paired, unpaired;
the third detection unit is used for carrying out profit and loss calculation and generating a third detection result, and the third detection result comprises a passing or failing result;
a request unit, configured to send a sharing request of the target device;
the first storage unit is used for correspondingly storing the user side identification and the product identification;
and the second storage unit is used for receiving and storing the data output by the target equipment.
In some possible embodiments, in the aspect of performing profit-loss calculation and generating the third detection result, the third detection unit is specifically configured to: acquiring the price of target equipment, and setting a minimum cost threshold according to a preset algorithm; adding the transaction amounts contained in all the payment information to obtain a transaction total amount; if the transaction total is larger than the lowest cost threshold value, outputting the third detection result as pass; and if the transaction total is smaller than the lowest cost threshold value, outputting the third detection result as failure.
In some possible embodiments, the distribution unit is configured to: according to the data application product, classifying and packaging the data to generate a data packet corresponding to the data application product; and distributing the data packet according to the corresponding relation between the product identification and the user side identification.
In a third aspect, an embodiment of the present application further provides a server, including:
an input device, an output device, a memory, and a processor;
the memory stores a computer program, and the processor is configured to call the computer program to perform a part or all of the steps of any one of the methods performed by the device data sharing system in the embodiments of the present application.
In a fourth aspect, the present application further provides a computer-readable storage medium, where a computer program is stored, where the computer program is executed by hardware (for example, a processor, and the like) to perform part or all of the steps of any one of the methods performed by the device data sharing system in the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product comprising instructions that, when run on a device data sharing system, cause the device data sharing system to perform some or all of the steps of the device data sharing methods of the above aspects.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1-a is a schematic structural diagram of a device data sharing system according to an embodiment of the present application;
fig. 1-B is a schematic structural diagram of a device data sharing system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a device data sharing method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another device data sharing method provided in an embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for combining types of data output by the target devices to generate one or more data application products according to an embodiment of the present application;
FIG. 5-A is a flowchart illustrating a method for detecting validity of shared application information according to an exemplary embodiment of the present disclosure;
fig. 5-B is a schematic flowchart of a method for performing profit-loss calculation and generating a third detection result according to an example provided in the embodiment of the present application;
fig. 6 is a schematic flowchart of a method for distributing an applied data application product to a user terminal according to the shared application information, provided by way of example in the embodiment of the present application;
fig. 7 is a schematic diagram of a server according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The following describes embodiments of the present application in detail.
Referring to fig. 1-a, fig. 1-a is a schematic structural diagram of a communication system according to an embodiment of the present disclosure, which may include a device data sharing system 110 and a client 120 interconnected via a network. The device data sharing system 110 has a data application product generating function, an information transmitting and receiving function, and a data packet distributing function. The ue 120 has an information transceiving function and a data packet receiving function.
Referring to fig. 1-B, fig. 1-B is a schematic structural diagram of a device data sharing system 110 according to an example of the embodiment of the present application, where the device data sharing system 110 may include: a generating unit 111, a distributing unit 112, a receiving unit 113, a detecting unit 114, a distributing unit 115, and the like. The generating unit 111 is mainly used for combining types of data output by the target device to generate one or more data application products. The publishing unit 112 is mainly used to publish the shared recruitment information. The receiving unit 113 is mainly used for receiving the sharing application information. The detection unit 114 is mainly used for detecting the validity of the shared application information. The distribution unit 115 is mainly configured to distribute the requested data application product to the user side according to the shared application information. Of course, the modular architecture of the device data sharing system 110 is not limited to the above examples.
The technical solution of the embodiment of the present application may be implemented based on the communication system with the architecture illustrated in fig. 1-a as an example or a variant architecture thereof.
Referring to fig. 2, fig. 2 is a schematic flowchart of a device data sharing method provided in an embodiment of the present application, where the method may include, but is not limited to, the following steps:
201. and combining the types of the data output by the target equipment to generate one or more data application products.
Which comprises the following steps: acquiring a data type output by target equipment; respectively determining the type of one or more data corresponding to each application scene according to one or more application scenes of the data application output by the target equipment; combining the types of one or more data corresponding to each application scene to generate a data application product; determining a share price for each of the one or more data application products.
The data type output by the target device does not include data output by the target device, the data type is only the name of the data, and the name of the acquired data is used for carrying out classification and combination according to a plurality of application scenes of the data to generate a data application product. For example, when the target device is an on-board data acquisition device, the types of data that the target device can acquire include, but are not limited to, vehicle mileage, vehicle average fuel consumption, vehicle GPS data, and vehicle wear information.
For example, in the case of a liquid,
when the target device is a vehicle-mounted data acquisition device, the application scenarios of the target device include but are not limited to electronic fence, anti-theft tracking and insurance claim settlement. The types of data required for the electronic fence scenario are: vehicle GPS data and vehicle alarm preset data; the types of data required by the anti-theft tracking scene are as follows: vehicle GPS data; the types of data required by the insurance claim settlement scenario are: vehicle loss information, vehicle mileage, vehicle GPS data. And combining the types of one or more data corresponding to the application scenes to generate an electronic fence product, an anti-theft tracking product and an insurance claim settlement product.
202. Publishing shared recruitment information including a product identification and a shared price for each data application product.
Wherein each data application product has and also has a product identification corresponding thereto. The shared price is a price of the data application product.
203. And receiving sharing application information, wherein the sharing application information comprises a user side identifier, a product identifier of the data application product applied by the user side, and payment information.
Each user side has one and only one user side identification corresponding to the user side identification. The payment information is a certificate of payment behavior generated when the user terminal applies for sharing the data application product.
204. And detecting the effectiveness of the shared application information.
The effectiveness of detecting the shared application information includes but is not limited to the following three aspects: detecting whether the payment information is legal or not, and generating a first detection result; detecting whether the product identifications of all the data application products are paired with the user end identifications in the corresponding relation between the product identifications and the user end identifications to generate a second detection result; and performing profit-loss calculation and generating a third detection result.
205. And distributing the applied data application product to the user side according to the shared application information.
It can be seen that, in the above-mentioned device data sharing method, a function of combining the types of data output by the target device to generate one or more data application products is introduced into the device data sharing system, so that the user can obtain the required data more specifically, which is beneficial to greatly reducing the data acquisition cost of the user, improving the utilization rate of the device, and saving the device resources.
This is exemplified by some more specific scenarios.
Referring to fig. 3, fig. 3 is a schematic flowchart of another device data sharing method provided in an embodiment of the present application, in the method shown in fig. 3, a module structure of a device data sharing system may be as shown in fig. 1-B by way of example, and this method may include, but is not limited to, the following steps:
301. a generation unit of the device data sharing system acquires the type of data output by the target device.
It can be understood that the generation unit of the device data sharing system may obtain the type of the data output by the target device by inputting the data into the system by a worker, or may obtain the type of the data output by the target device by other methods, for example, the device data sharing system establishes a network connection with the target device, and obtains the type of the data output by the target device through the information output by the target device.
302. The acquisition unit of the equipment data sharing system sends the types of the data output by the equipment to the generation unit, and the generation unit combines the types of the data output by the target equipment to generate one or more data application products.
The data application product comprises type information of data composing the data application product and does not comprise data output by the target device.
303. A generating unit of the equipment data sharing system sends data application product information to a publishing unit, and the publishing unit generates sharing recruitment information according to the data application product information and sends the sharing recruitment information to a user side.
Wherein the shared recruitment information includes a product identification and a shared price for each data application product. After the data application products are generated, a generating unit of the equipment data sharing system distributes product identifications to each data application product, and each data application product has only one corresponding product identification.
304. And the user side sends sharing application information to the equipment data sharing system.
The shared application information comprises a user side identifier, a product identifier of a data application product applied by the user side and payment information. After receiving the sharing application information, the equipment data sharing system distributes client identifiers to the clients, and each client has only one client identifier corresponding to the client identifier. The payment information is a certificate of payment behavior generated when the user terminal applies for the data application product.
305. A receiving unit of the device data sharing system sends the storage address of the sharing application information to the detecting unit and the distributing unit.
306. And after receiving the storage address of the sharing application information, a detection unit of the equipment data sharing system detects the validity of the sharing application information.
The effectiveness of detecting the shared application information includes but is not limited to the following three aspects: detecting whether the payment information is legal or not, and generating a first detection result; detecting whether the product identifications of all the data application products are paired with the user end identifications in the corresponding relation between the product identifications and the user end identifications to generate a second detection result; and performing profit-loss calculation and generating a third detection result.
307. And after the validity detection of the sharing application information is passed, a detection unit of the equipment data sharing system sends a sharing request to the target equipment.
308. And the target equipment sends the data output by the target equipment to a distribution unit of the equipment data sharing system.
309. And after receiving the storage address of the sharing application information and the data output by the target equipment, a distribution unit of the equipment data sharing system classifies and encapsulates the data according to the data application product to generate a data packet corresponding to the data application product.
310. And the distribution unit of the equipment data sharing system distributes the data packet of the data application product to the user side according to the sharing application information.
The data packet is formed by packaging data of a type corresponding to the data application product, and the data is data output by the target device and acquired by the device data sharing system.
Some specific mechanisms for combining the types of data output by the target devices to generate one or more data application products are specifically illustrated below.
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for combining data output by the target device to generate one or more data application products according to an embodiment of the present application, where the method may include, but is not limited to, the following steps:
401. and acquiring the type of the data output by the target equipment.
402. And respectively determining the type of one or more data corresponding to each application scene according to one or more application scenes of the data application output by the target equipment.
For example, if the application scenario to which the first type of data is applicable has a first scenario and a second scenario, when the type of the data corresponding to each application scenario is determined, the first scenario and the second scenario both have a corresponding relationship with the first type of data. It is understood that in the embodiment of the present application, there is a possibility that one or more types of data output by the target device are utilized multiple times.
403. And combining the types of one or more data corresponding to each application scene to generate a data application product corresponding to the application scene.
404. Determining a share price for each of the one or more data application products.
The determination method of the sharing price includes, but is not limited to, one or more of the following methods: data type average calculation, data application product average calculation and data type weighting calculation.
The data type average calculation steps are as follows: total price P of target device0Divided by the total number A of types of data comprised by all data application products0Obtaining the data type unit price M0And the number A of the types of the data contained in each data application product is usedi(i ═ 1,2,3, … …) multiplier data type unit price M0Obtaining the shared price S of each data application producti(i ═ 1,2,3, … …). The formula for the data type average calculation is as follows:
Figure BDA0002184697820000091
the steps of the average calculation of the data application products are as follows: total price P of target device0Divided by the total number of all data application products B0Obtaining the shared price S of each data application producti(i-1, 2,3, … …). The formula for the data application product average calculation is as follows:
Figure BDA0002184697820000092
the steps of the data type weighting calculation are as follows: total price P of target device0Divided by the total number A of types of data comprised by all data application products0Obtaining the data type unit price M0. Data type unit price M0Then multiplying the data types by the weight Kn(n-1, 2,3, … …) obtaining the unit price M of each type of datan(n-1, 2,3, … …). Adding unit prices of data contained in the data application product to obtain a shared price S of the data application producti(i ═ 1,2,3, … …). The formula for the data type weight calculation is as follows:
Si=∑Mn,i=1,2,3,……
Figure BDA0002184697820000101
wherein the weight K of the data typenThe difficulty, frequency and value of data acquisition can be determined by a preset mode of a worker, and can also be determined by other modes.
Some specific mechanisms for detecting the validity of the shared application information are specifically exemplified below.
Referring to fig. 5-a, fig. 5-a is a schematic flowchart of a method for detecting validity of shared application information provided by way of example in the embodiment of the present application, where the method may include, but is not limited to, the following steps:
501. and detecting whether the payment information is legal or not, and generating a first detection result, wherein the first detection result comprises legality or non-legality.
Wherein detecting whether the payment information is legitimate may include: and judging the payment mode of the user side and judging whether the payment is successful.
502. And if the first detection result is legal, correspondingly storing the user side identification and the product identification.
503. Detecting whether the product identifiers of all the data application products are paired with the user side identifiers in the corresponding relation between the product identifiers and the user side identifiers to generate a second detection result, wherein the second detection result comprises any one of the following: all paired, partially paired, unpaired.
And detecting all product identifications through a traversal method when detecting whether the product identifications of all data application products are matched with the user end identification. If all the product identifiers have one or more user side identifier pairs, outputting a second detection result as a whole pair; if one or more product identifiers are not paired with the user end identifier, outputting a second detection result as partial pairing; and if all the product identifiers are not paired with the user end identifier, outputting a second detection result of unpaired product identifiers.
504. And when the second detection result is partial pairing, performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises pass or fail.
505. And when the second detection result is complete pairing, or when the second detection result is partial pairing and the third detection result is passing, sending a sharing request of the target equipment.
Referring to fig. 5-B, fig. 5-B is a schematic flow chart of a method for performing profit-loss calculation and generating a third detection result, which may include, but is not limited to, the following steps:
5041. and acquiring the price of the target equipment, and setting a minimum cost threshold according to a preset algorithm.
Wherein the minimum cost threshold includes, but is not limited to, total price of the target device, labor cost, device management cost, and data transmission cost. The minimum cost threshold value can be obtained by presetting an algorithm and corresponding cost by workers and calculating the equipment data sharing system through the preset algorithm. It will be appreciated that the setting of the minimum cost threshold may be adjusted accordingly by the provider of the shared service's own circumstances and cost.
5042. And adding the transaction amounts contained in all the payment information to obtain a transaction total amount.
5043. And if the transaction total is greater than or equal to the lowest cost threshold value, outputting the third detection result as pass.
5044. And if the transaction total is smaller than the lowest cost threshold value, outputting the third detection result as failure.
Some specific mechanisms for distributing the requested data application product to the user side according to the shared application information are specifically exemplified below.
Referring to fig. 6, fig. 6 is a schematic flowchart illustrating a method for distributing an applied data application product to a user terminal according to the shared application information, which may include, but is not limited to, the following steps:
601. and after the target equipment is successfully shared, receiving and storing the data output by the target equipment.
The data output by the target device may be output in a single time, or may be output according to a preset frequency. Therefore, when storing the data output by the target device, the time of this receiving action is recorded.
602. And according to the data application product, classifying and packaging the data to generate a data packet corresponding to the data application product.
It will be appreciated that the data package is a collection of data of the type corresponding to the data application product. Since the data output by the target device may be output at a single time or at a preset frequency, one or more certain types of data may exist in the data packet. When the data is classified and packaged, the data and the data receiving time need to be packaged correspondingly.
603. And distributing the data packet according to the corresponding relation between the product identification and the user side identification.
Referring to fig. 7, an embodiment of the present application provides a server 700, including:
an input device 710, an output device 720, a memory 730, and a processor 740; such as input device 710, output device 720, memory 730, and processor 740, are coupled by a bus 750.
The processor 740 may be one or more Central Processing Units (CPUs), and in the case that the processor 740 is one CPU, the CPU may be a single-core CPU or a multi-core CPU.
The processor 740 is used for reading the program codes stored in the memory 730, and executing part or all of the steps of the method executed by the server 700 in the above-described embodiment of the present application in cooperation with the input device 710 and the output device 720.
As a specific example thereof,
the input device 710 is configured to receive sharing application information, where the sharing application information includes a user side identifier, a product identifier of a data application product applied by the user side, and payment information.
An output device 720 for publishing shared recruitment information including a product identification and a shared price for each data application product; and distributing the applied data application product to the user side according to the shared application information.
Processor 740 is configured to combine the types of data output by the target devices to generate one or more data application products; and detecting the effectiveness of the shared application information.
In some possible embodiments, the processor 740 combining the types of data output by the target device to generate the one or more data application products may include: acquiring the type of data output by the target equipment; respectively determining the type of one or more data corresponding to each application scene according to one or more application scenes of the data application output by the target equipment; combining the types of one or more data corresponding to each application scene to generate one or more data application products; determining a share price for each of the one or more data application products.
The data type output by the target device does not include data output by the target device, the data type is only the name of the data, and the name of the acquired data is used for carrying out classification and combination according to a plurality of application scenes of the data to generate a data application product.
In some possible embodiments, the processor 740 detecting the validity of the shared application information may include: detecting whether the payment information is legal or not, and generating a first detection result, wherein the first detection result comprises legality or non-legality; if the first detection result is legal, correspondingly storing the user side identification and the product identification; detecting whether the product identifiers of all the data application products are paired with the user side identifiers in the corresponding relation between the product identifiers and the user side identifiers to generate a second detection result, wherein the second detection result comprises any one of the following: all paired, partially paired, unpaired; when the second detection result is that all the target devices are paired, sending a sharing request of the target device; or when the second detection result is partial pairing, performing profit-loss calculation and generating a third detection result, wherein the third detection result comprises pass or fail, and when the third detection result is pass, sending the sharing request of the target device.
Performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises pass or fail, and the method comprises the following steps: acquiring the price of target equipment, and setting a minimum cost threshold according to a preset algorithm; adding the transaction amounts contained in all the payment information to obtain a transaction total amount; if the transaction total is larger than the lowest cost threshold value, outputting the third detection result as pass; and if the transaction total is smaller than the lowest cost threshold value, outputting the third detection result as failure.
The embodiments of the present application also provide a computer-readable storage medium, where a computer program is stored, where the computer program is executed by hardware (for example, a processor, and the like), and part or all of the steps of any one of the methods executed by the device data sharing system in the embodiments of the present application are provided.
Embodiments of the present application also provide a computer program product including instructions, which when run on a device data sharing system, cause the device data sharing system to perform some or all of the steps of the device data sharing method of the above aspects.
Therefore, in the equipment data sharing scheme, a new equipment purchasing and using mode is introduced, and the data acquired by the equipment is completely used or even used for many times, so that the data acquisition cost of a user is greatly reduced, the utilization rate of the equipment is improved, and the equipment resources are saved.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., compact disk), or a semiconductor medium (e.g., solid state disk), among others. In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a logical division, and the actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the indirect coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, and may be electrical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage media may include, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (8)

1. A device data sharing method is applied to a server and comprises the following steps:
combining types of data output by target equipment to generate one or more data application products, wherein the data application products comprise type information of the data forming the data application products and do not comprise the data output by the target equipment;
publishing shared recruitment information, the shared recruitment information comprising a product identification and a shared price for each data application product;
receiving shared application information, wherein the shared application information comprises a user side identifier, a product identifier of a data application product applied by the user side, and payment information;
detecting the validity of the shared application information, including: detecting whether the payment information is legal or not, and generating a first detection result, wherein the first detection result comprises legality or non-legality; if the first detection result is legal, correspondingly storing the user side identification and the product identification; detecting whether the product identifiers of all the data application products are paired with the user side identifiers in the corresponding relation between the product identifiers and the user side identifiers to generate a second detection result, wherein the second detection result comprises any one of the following: all paired, partially paired, unpaired; when the second detection result is partial pairing, performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises passing or failing;
when the third detection result is that the data application product passes the third detection result, distributing the applied data application product to the user side according to the shared application information;
and performing profit and loss calculation and generating a third detection result, including: acquiring the price of the target equipment, and setting a minimum cost threshold value according to a preset algorithm; adding the transaction amounts contained in all the payment information to obtain a transaction total amount; if the transaction total is greater than or equal to the lowest cost threshold, outputting the third detection result as pass; if the transaction total is smaller than the lowest cost threshold, the output third detection result is failed.
2. The method of claim 1, wherein combining the types of data output by the target devices to generate one or more data application products comprises:
acquiring the type of data output by the target equipment;
respectively determining the type of one or more data corresponding to each application scene according to one or more application scenes of the data application output by the target equipment;
combining the types of one or more data corresponding to each application scene to generate one or more data application products;
determining a share price for each of the one or more data application products.
3. The method of claim 1, further comprising:
and when the second detection result is that all the data application products are paired, distributing the applied data application products to the user side according to the shared application information.
4. The method of claim 1, wherein the distributing the requested data application product to the user terminal according to the shared request information comprises:
after the target equipment is successfully shared, receiving and storing data output by the target equipment;
according to the data application product, classifying and packaging the data to generate a data packet corresponding to the data application product;
and distributing the data packet according to the corresponding relation between the product identification and the user side identification.
5. A device data sharing system, the system comprising:
the generation unit is used for combining the types of the data output by the target equipment to generate one or more data application products, and the data application products comprise type information of the data forming the data application products and do not comprise the data output by the target equipment;
the publishing unit is used for publishing shared recruitment information, and the shared recruitment information comprises a product identifier and a shared price of each data application product;
the system comprises a receiving unit, a sharing unit and a processing unit, wherein the receiving unit is used for receiving sharing application information, and the sharing application information comprises a user side identifier, a product identifier of a data application product applied by the user side and payment information;
the detection unit is used for detecting the validity of the shared application information and comprises: detecting whether the payment information is legal or not, and generating a first detection result, wherein the first detection result comprises legality or non-legality; if the first detection result is legal, correspondingly storing the user side identification and the product identification; detecting whether the product identifiers of all the data application products are paired with the user side identifiers in the corresponding relation between the product identifiers and the user side identifiers to generate a second detection result, wherein the second detection result comprises any one of the following: all paired, partially paired, unpaired; when the second detection result is partial pairing, performing profit and loss calculation and generating a third detection result, wherein the third detection result comprises passing or failing;
the distribution unit is used for distributing the applied data application product to the user side according to the shared application information when the third detection result is that the third detection result passes;
the detection unit is specifically configured to obtain the price of the target device and set a minimum cost threshold according to a preset algorithm in the aspects of performing profit-loss calculation and generating a third detection result; adding the transaction amounts contained in all the payment information to obtain a transaction total amount; if the transaction total is greater than or equal to the lowest cost threshold, outputting the third detection result as pass; and if the transaction total is smaller than the lowest cost threshold value, outputting that the third detection result is failure.
6. The device data sharing system according to claim 5,
the generation unit includes:
the first determining unit is used for respectively determining one or more data types corresponding to each application scene according to one or more application scenes of the data output by the target device;
the combination unit is used for combining the types of one or more data corresponding to each application scene to generate a data application product;
a second determining unit for determining a share price for each of the one or more data application products.
7. A server, comprising:
an input device, an output device, a memory having stored therein a computer program, and a processor for invoking the computer program to perform the method of any of claims 1-4.
8. A computer-readable storage medium, in which a computer program is stored, the computer program being executed by hardware to implement the method of any one of claims 1 to 4.
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