CN112015824A

CN112015824A - Satellite remote sensing data use method, device and equipment based on block chain

Info

Publication number: CN112015824A
Application number: CN202011135135.0A
Authority: CN
Inventors: 张鸿; 韩喆
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2020-10-22
Filing date: 2020-10-22
Publication date: 2020-12-01

Abstract

The embodiment of the specification discloses a method, a device and equipment for using satellite remote sensing data based on a block chain. The scheme comprises the following steps: receiving a data request of a data user for a specified space; acquiring response information of a data provider to the data request, and storing the response information on a block chain, wherein the response information indicates satellite capacity and data use cost; selecting a data provider by running an intelligent contract, wherein the intelligent contract selects the data provider according to a preset optimization strategy and response information stored in a block chain; acquiring satellite remote sensing data acquired by the selected data provider aiming at a specified space; and responding a data user according to the satellite remote sensing data, and controlling a cost feedback process of the data user according to the selected data use cost corresponding to the data provider.

Description

Satellite remote sensing data use method, device and equipment based on block chain

Technical Field

The specification relates to the technical field of computer software, in particular to a method, a device and equipment for using satellite remote sensing data based on a block chain.

Background

The application of satellites in civil fields, such as meteorological observation, television program broadcasting, positioning navigation, satellite aerial photography, and the like, is becoming more and more popular. Satellite aerial photography provides a convenient space observation means for people, is mainly used in the military field in the past, and obviously increases the requirements of the civil field at present, for example, building planning, geological change monitoring, agricultural production guidance, environmental protection management and the like.

In practical applications, satellite remote sensing data acquired by a satellite (referred to as an image acquired by the satellite herein) have different resolutions, and for a data user, it is often desirable to obtain the satellite remote sensing data with a high resolution so as to observe and analyze a target more accurately. Of course, for a data provider operating a satellite, high-resolution satellite remote sensing data brings more cost burden, belongs to high-value confidential data, is not generally free to be used by other people, and a data user himself has a concern about use cost.

Based on this, a solution capable of safely and efficiently using satellite remote sensing data is required.

Disclosure of Invention

One or more embodiments of the present specification provide a method, an apparatus, and a device for using satellite remote sensing data based on a block chain, so as to solve the following technical problems: there is a need for a solution that enables safe and efficient use of satellite telemetry data.

To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:

one or more embodiments of the present specification provide a method for using satellite remote sensing data based on a block chain, including:

receiving a data request of a data user for a specified space;

acquiring response information of a data provider to the data request, and storing the response information on a blockchain, wherein the response information indicates satellite capacity and data use cost;

selecting a data provider by running an intelligent contract, the intelligent contract selecting a data provider according to a predetermined optimization strategy and response information stored on the blockchain;

acquiring satellite remote sensing data acquired by the selected data provider aiming at the specified space;

and responding the data user according to the satellite remote sensing data, and controlling a cost feedback process of the data user according to the selected data use cost corresponding to the data provider.

Another method for using block chain-based satellite remote sensing data provided by one or more embodiments of the present specification includes:

sending response information to a data request of a data using party to a service platform party so that the response information is stored on a block chain, wherein the response information indicates satellite capacity and data using cost;

receiving determined selection information sent by operating an intelligent contract to select a data provider, wherein the intelligent contract selects the data provider according to a preset optimization strategy and response information stored in the block chain;

responding to the determined selection information, and sending satellite remote sensing data acquired by a designated space corresponding to the data request to the service platform side;

and receiving the cost fed back by the data user.

sending a data request aiming at a specified space to a service platform side;

receiving a response according to satellite remote sensing data acquired aiming at the specified space, wherein the satellite remote sensing data is acquired by a data provider selected by operating an intelligent contract, the intelligent contract selects the data provider according to a preset optimization strategy and response information stored on the blockchain, and the response information is aiming at the data request and indicates satellite capacity and data use cost;

and feeding back the cost to the selected data provider.

One or more embodiments of the present specification provide an apparatus for using satellite remote sensing data based on a block chain, including:

the first receiving module is used for receiving a data request of a data user for a specified space;

the first acquisition module is used for acquiring response information of a data provider to the data request and storing the response information on a block chain, wherein the response information indicates satellite capacity and data use cost;

the selection module is used for selecting a data provider by operating an intelligent contract, and the intelligent contract selects the data provider according to a preset optimization strategy and response information stored in the block chain;

the second acquisition module is used for acquiring the satellite remote sensing data acquired by the selected data provider aiming at the specified space;

and the response control module responds to the data user according to the satellite remote sensing data and controls the cost feedback process of the data user according to the selected data use cost corresponding to the data provider.

Another device for using satellite remote sensing data based on block chains, provided by one or more embodiments of the present specification, includes:

the first sending module is used for sending response information of a data request of a data user to the service platform side so that the response information is stored on the block chain, wherein the response information indicates satellite capacity and data use cost;

the second receiving module is used for receiving the determined selection information sent by operating the intelligent contract to select the data provider, and the intelligent contract selects the data provider according to a preset optimization strategy and the response information stored in the block chain;

the second sending module responds to the determined selection information and sends the satellite remote sensing data acquired by the appointed space corresponding to the data request to the service platform side;

and the third receiving module is used for receiving the cost fed back by the data user.

One or more embodiments of the present specification provide a device for using satellite remote sensing data based on a block chain, including:

the third sending module is used for sending a data request aiming at the specified space to the service platform side;

a fourth receiving module, configured to receive a response according to satellite remote sensing data acquired for the specified space, where the satellite remote sensing data is acquired by a data provider selected by operating an intelligent contract, the intelligent contract selects the data provider according to a predetermined optimization policy and response information stored in the block chain, and the response information is for the data request and indicates satellite capacity and data use cost;

and the cost feedback module feeds back the cost to the selected data provider.

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

receiving a data request of a data user for a specified space;

Another block chain-based satellite remote sensing data using device provided by one or more embodiments of the present specification includes:

at least one processor; and the number of the first and second groups,

and receiving the cost fed back by the data user.

at least one processor; and the number of the first and second groups,

sending a data request aiming at a specified space to a service platform side;

and feeding back the cost to the selected data provider.

At least one technical scheme adopted by one or more embodiments of the specification can achieve the following beneficial effects: the safety of the interactive data is improved through the block chain, trust friction is reduced, the requirement condition and the supply condition of the satellite remote sensing data can be efficiently matched through coordination of the service platform side and use of an intelligent contract, the data use cost is reduced while the requirement is met by the data user, the data provider is promoted to convert own data into benefits, meanwhile, invalid payment is avoided, and the safe and efficient use of the satellite remote sensing data is realized.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

Fig. 1 is a schematic flow chart of a method for using satellite remote sensing data based on a block chain according to one or more embodiments of the present disclosure;

FIG. 2 is a schematic diagram of a map image acquired by a satellite according to one or more embodiments of the present disclosure;

fig. 3 is a schematic diagram of a framework corresponding to the method in fig. 1 in an application scenario provided in one or more embodiments of the present disclosure;

fig. 4 is a schematic flow chart of another method for using block chain-based satellite remote sensing data according to one or more embodiments of the present disclosure;

fig. 5 is a schematic flow chart of another method for using satellite remote sensing data based on a block chain according to one or more embodiments of the present disclosure;

fig. 6 is a schematic structural diagram of a device for using satellite remote sensing data based on a block chain according to one or more embodiments of the present disclosure;

fig. 7 is a schematic structural diagram of another block chain-based satellite remote sensing data using apparatus according to one or more embodiments of the present disclosure;

fig. 8 is a schematic structural diagram of another block chain-based satellite remote sensing data using apparatus according to one or more embodiments of the present disclosure.

Detailed Description

The embodiment of the specification provides a method, a device, equipment and a storage medium for using satellite remote sensing data based on a block chain.

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, 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, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.

In one or more embodiments, the description relates to a service platform side, a data consumer side, and a data provider side. The data user has the using requirement on the satellite remote sensing data, the data provider operates the satellite and has the capacity of collecting and providing the satellite remote sensing data, and the service platform provides services for the two parties, so that the transaction of the satellite remote sensing data between the two parties is reasonably and efficiently carried out, and the win-win situation is realized.

Based on the support of the service platform side, the automation degree of the transaction of the two sides is improved, and if necessary, the transaction without mutual perception of the two sides can be even realized, so that the privacy of the two sides can be further protected. For example, for a data provider, the service platform side analyzes the data usage requirement matched with the data provider and then provides the data provider with the data usage requirement without exposing specific clients behind the data usage requirement; similarly, for a data consumer, the service platform side analyzes the data serving capabilities that match it and then serves the data consumer without exposing the actual owner of the data serving capabilities.

In the above scheme, the block chain technique is also applied. The data security is improved through the block chain storage, and the intelligent automatic execution of partial processes is realized through the intelligent contracts on the block chains, so that the labor burden of each party is reduced.

In one or more embodiments of the specification, besides the transaction of the satellite remote sensing data, the application scenario of a data user based on the satellite remote sensing data is also involved. For example, the risk control service based on the satellite remote sensing data further reasonably schedules resources based on the risk control result, and the like, which is beneficial to promoting the development of the actual industry and improving the productivity.

The following is a detailed description based on the above idea.

Fig. 1 is a schematic flowchart of a method for using satellite remote sensing data based on a block chain according to one or more embodiments of the present disclosure. The process is mainly described from the perspective of the service platform side, and some steps may be executed by other sides in actual implementation, which is not specifically limited herein. The process may be performed by a computing device of the respective party (e.g., an online transaction server of an internet financial services platform, etc.), with certain input parameters or intermediate results in the process allowing for manual intervention adjustments to help improve accuracy.

The process in fig. 1 may include the following steps:

s102: a data request by a data consumer for a specified space is received.

In one or more embodiments of the present specification, if a data consumer has a demand for using spatial data of a specified space, the data consumer sends a data request to a service platform side, so as to expect to obtain the required spatial data through the service platform side.

The satellite remote sensing data belongs to space data, mainly comprises images acquired by a satellite through camera equipment, and can also comprise electromagnetic wave data and the like for detecting parameters such as distance, temperature and the like. Besides satellites, space data can be collected by unmanned aerial vehicles, radars and other devices. The following embodiments are described primarily in the context of satellite telemetry data.

In one or more embodiments of the present description, the designated space includes a land area that the data user wants to observe, for example, the data user is an agricultural producer or a partner of the agricultural producer, and the land area that wants to observe is a crop planting area; the designated space also includes the airspace that the data user wants to observe, for example, the data user is an airline or a partner of the airline, and the airspace that wants to observe is a junction airspace of a dense airline.

In one or more embodiments of the present disclosure, some mapping applications have provided users with free satellite telemetry data in consideration of the desire of the data users to obtain high-resolution satellite telemetry data, but the resolution of the satellite telemetry data may not meet the user requirements. Referring to fig. 2, fig. 2 is a schematic diagram of a map image acquired by a satellite according to one or more embodiments of the present disclosure. The resolution of the map image is about 10 m x 10 m, and at such a resolution, it may be sufficient to roughly view the outline of a whole house, but if the contents of a house or a farmland are to be carefully viewed, it is relatively marginal and a higher resolution is required, and in practical applications, some satellites with stronger shooting capability may reach a resolution of 0.5 m x 0.5 m, which meets the higher requirements of data users.

Based on this, in order to effectively obtain the data meeting the requirement, the data user may specify the required resolution in the data request, for example, the specified resolution is not lower than 1 m by 1 m. Therefore, the correct data provider can be matched efficiently, and the waste of resources is avoided unnecessarily. Similarly, the data user can specify the requirements for other factors such as time or weather in the data request according to the actual requirements, for example, whether the user wants to be in the daytime or at night, in the spring or in the summer, in a normal sunny day or a strong sunny day, and the like.

In one or more embodiments of the present disclosure, the cost of the high-resolution satellite remote sensing data is correspondingly high, and a higher cost is required for the data user, where the cost includes, but is not limited to, money, physical resources, identity, credit, and other resources. The data consumer may specify its own expected cost in the data request, e.g., in currency, such as a price of no more than a certain amount.

S104: and acquiring response information of a data provider to the data request, and storing the response information on the blockchain, wherein the response information indicates satellite capacity and data use cost.

In one or more embodiments of the present specification, one or more data providers learn about a data request through a service platform, and decide whether to respond to the data request according to their own operation conditions. If so, carrying some self basic information in the response information for the service platform side or the data user side to refer to the decision.

The data provider is registered in advance on the service platform side so as to efficiently interface the service, and the service platform side can broadcast the data request to the registered data provider after receiving the data request. If the registration information indicates information such as satellite capability and the like, the service platform side can pre-screen the data providers which obviously do not meet the requirements according to the registration information, and then send the data requests to the rest data providers.

In one or more embodiments of the present disclosure, the satellite capabilities include a resolution of the satellite, an acquirable region, a predetermined acquisition time, a specific acquisition mode, an automatic target detection capability, a target tracking capability, and the like.

In one or more embodiments of the present specification, in order to restrict a data provider and improve reliability of a service platform, response information is stored on a blockchain as a certificate for guiding a subsequent transaction process or a dispute resolution process that may occur. Similarly, other related information of the data provider and related information of the data user can be selectively stored on the blockchain, so that the trust sense among three parties is enhanced, and the transaction is facilitated.

S106: selecting a data provider by running an intelligent contract, the intelligent contract selecting a data provider according to a predetermined preference policy and response information stored on the blockchain.

In one or more embodiments of the present specification, if only one data provider responds to a data request, it is determined whether the data provider meets the requirement, and if multiple data providers respond to the data request, the conditions of different data providers are compared to select a more suitable data provider. And the unselected data provider does not need to acquire corresponding satellite remote sensing data, so that resource waste is avoided.

In one or more embodiments of the present specification, the preference policy is preset according to an actual application scenario, and the preference policy may be placed in an intelligent contract for more efficient use, and the preference policy is various. For example, the low-cost priority, the high-resolution priority, the fast data providing priority, the comprehensive high-cost priority, and so on. One particular selection scheme includes: the data user gives an expected cost, and the service platform side automatically selects the data provider with the highest provided resolution on the premise of not exceeding the expected cost. This scheme has priority over high resolution, with the advantages of: the data user can accurately control the budget without sensing and intervening the selection process, and can sit on the high-quality data, and the experience is good.

S108: and acquiring the satellite remote sensing data acquired by the selected data provider aiming at the specified space.

In one or more embodiments of the present disclosure, in order to avoid data leakage or random appropriation, the satellite telemetry data provided by the data provider is encrypted and can be decrypted for use by the data provider. If the service platform side is reliable enough, the data provider also sends the satellite remote sensing data in the plaintext to the service platform side, and the service platform side provides safety guarantee for the satellite remote sensing data.

S110: and responding the data user according to the satellite remote sensing data, and controlling a cost feedback process of the data user according to the selected data use cost corresponding to the data provider.

In one or more embodiments of the present disclosure, a user of the data needs the satellite remote sensing data, and often obtains an analysis result with a higher practical value for further analysis of the satellite remote sensing data. Based on this, the analysis process can also be worked over by the service platform side, and the service platform side generally has stronger computing power, so that the analysis process has advantages for execution, and the burden of the data user can be reduced. In this case, the service platform side sends the analysis result to the data user after the analysis is completed, and the satellite remote sensing data itself is not necessarily sent to the data user.

In one or more embodiments of the present specification, the data consumer feeds back the cost to the service platform without concern of the data provider, and the service platform gives corresponding benefit to the data provider. It is also mentioned above that the cost is not necessarily money, but also other resources are possible, on the basis of which more application scenarios are possible. For example, the data user is also a data provider, and requests the service platform side to exchange other satellite remote sensing data at the cost of the satellite remote sensing data acquired by the data user, so that the exchange of the satellite remote sensing data with another data provider can be realized, and the resource can exert higher value.

In one or more embodiments of the present specification, the service platform side performs cost statistics (specifically, charging if the cost is money) according to the actual data service usage of the data user, and urges the data user to pay the cost correctly and reasonably, and the cost is at least partially fed back to the data provider.

By the method of the figure 1, the safety of the interactive data is improved through the block chain, trust friction is reduced, the requirement condition and the supply condition of the satellite remote sensing data can be efficiently matched through coordination of the service platform party and use of an intelligent contract, the data use cost is reduced while the requirement is met by the data user, the data provider is facilitated to convert own data into benefits, meanwhile, invalid payment is avoided, and the safe and efficient use of the satellite remote sensing data is realized.

Based on the process of fig. 1, some specific embodiments and embodiments of the process are also provided in the present specification, and the description is continued below.

In one or more embodiments of the present specification, the data consumer subscribes to spatial data of a specified space to the service platform side. The subscription action substantially belongs to the data request in step S102, and the subscription often emphasizes that the request continuously obtains the spatial data of the specified space for a period of time (for example, several days, a month, a half year, and the like) so as to continuously observe the specified space, and after the subscription, the data user does not need to repeatedly send the data request during the period of time, and does not need to care about the interaction between the service platform and the data provider, so that the service platform side is more comfortable and sends the subscribed spatial data to the data user on time.

In one or more embodiments of the present description, the data request carries space identification information, where the space identification information indicates a specified space, such as longitude and latitude coordinates, a pre-divided space number, and the like. The data request also carries analysis requirement information indicating analysis requirements for the specified space.

And analyzing the satellite remote sensing data by one or more parties except the data using party according to the analysis demand information to obtain an analysis result for responding to the data using party. The satellite remote sensing data is analyzed, for example, by at least one of: the analysis is carried out by running intelligent contract analysis on the block chain (specifically executed by the service platform side), by selected data provider analysis, and by other sides designated by the service platform side (such as an image intelligent recognition company having a cooperative relationship with the service platform side). Therefore, the data user can directly use the analysis result, and the burden is reduced, and of course, the data user also needs to pay a price to the analysis user.

For example, in one application scenario, where the designated space includes a crop planting area, the analytical requirements include at least one of: crop type, crop growth conditions, work conditions on crops, crop harvest prospects, environmental conditions. Assuming that the data user is a farmer or a management cadre, the data user can clearly know the agricultural production condition according to the analysis result, so as to more reasonably distribute production resources (such as chemical fertilizers, agricultural machinery and the like) and comprehensively arrange the next production work. Supposing that the data user is a financial service company, risk control is carried out according to the analysis result, the data user can clearly know the real situation of agricultural production and use the situation as a basis for determining the credit of a corresponding farmer, if the credit is better, loan support can be provided for the farmer to help the farmer to get rich, the mode solves the problem of missing credit data of the farmer, and the similar scheme can also be applied to micro fields such as family workshops and small factory production, so that loan can be more conveniently benefited and the needed common people can be ensured, and meanwhile, the risk of the loan party is reduced.

In one or more embodiments of the present description, in general, data consumers are concerned about the cost and tend to fulfill demands at lower cost, based on which data providers are selected primarily according to the cost. Of course, even if the cost is low, such data providers should not be selected if some important criteria such as the resolution of the satellite do not meet the requirements.

For example, according to the satellite capacity indicated by the response information of the data provider to be selected, determining whether the resolution of the satellite of the data provider to be selected meets a predetermined condition (which may be indicated in the data request, for example, it is not less than a specified resolution threshold), if not, screening out, and if so, comparing, by running an intelligent contract, the data usage costs respectively indicated by the remaining optional one or more response information stored on the block chain according to a predetermined optimization policy, and/or comparing the expected cost indicated by the data request with the data usage costs indicated by the remaining optional one or more response information; and then, selecting a data provider according to the comparison result, for example, selecting the data provider corresponding to the lowest cost which is not higher than the expected cost.

In one or more embodiments of the present specification, in order to prevent the data provider from wasting acquisition resources because the data provider is not selected, the data provider should be selected before the predetermined acquisition time, and a result of the selection should be timely sent to the data provider corresponding to the response information. Of course, some satellites can continuously collect remote sensing data regardless of the requirements of data users, and for such data providers, no additional cost is paid even if the data providers are not selected, so that the results of selection do not need to be informed in time.

In light of the foregoing, one or more embodiments of the present disclosure provide a framework diagram corresponding to the method in fig. 1 in an application scenario, as shown in fig. 3.

In the framework, three parts are divided by a dotted line box, wherein the upper left part represents a data provider, the upper right part represents a data user, the lower part represents a service platform, and the service platform is realized by one or more service systems. In the service platform side, mainly used functional modules are shown, including: satellite registration, space subscription, data usage, data encryption, data pricing, data billing, blockchains, space-time databases, and the like. The time-space database has high-efficient time sequence data read-write capability, the satellite remote sensing data often has clear time and space dimensionality, the satellite remote sensing data comprises change data of a designated space in a continuous period of time, the time-space database is suitable for storage and operation, corresponding index information can be established for the satellite remote sensing data after storage, the data volume of the index information is much smaller, the index information is suitable for being stored on a block chain, a data user uses the index information through query, and when the index information is required to be used, the index information is read out, and at least part of the satellite remote sensing data is obtained by efficiently querying the time-space database.

In the application scenario of fig. 3, there are two data providers S1 and S2, and two data consumers U1 and U2 (e.g., financial services companies).

In a pre-executed phase:

s1 registers operable satellites D1 and D2 with the service platform side, S2 registers operable satellites D1 and D3 with the service platform side, and remote sensing data acquisition equipment is arranged on the satellites;

in the actual service phase:

the U1 registers a space P1 needing observation (identified by longitude and latitude sequences, for example) and required analysis types (such as crop types, crop growth conditions and analysis cost willing to pay) with a service platform party; the information registered by the U1 may be broadcasted to S1 and S2, and wait for the response of S1 and S2 for the spatial data of P1 subscribed by the U1.

The U2 registers the space P2 needing observation and the required analysis type with the service platform side; the information registered by the U1 may be broadcasted to S1 and S2, and wait for the response of S1 and S2 for the spatial data of P2 subscribed by the U2.

S1 monitors the registration information of space P1, judges whether the satellite can support the space (for example, whether the satellite capability is accordant, whether the cost is cost-effective, etc.), if yes, according to the own satellite list, the time T1 when a certain satellite D1 is scanned to the space P1 and the Price1 which the satellite is willing to receive are sent to a block chain intelligent contract to be stored as response information, for example, the related main parameters (S1, D1, P1, T1, Price 1) are stored by using an intelligent contract key value structure,

similarly, S2 also has the operation right of satellite D1, and responds with (S2, D1, P1, T1, Price 2), for example, based on which, within a certain time (e.g., 4 hours) earlier than T1, it is automatically determined by a smart contract that the prices of S1 and S2 are more suitable for selection, and at the same time, the capabilities of D1 such as resolution are determined, and if the requirements are met, the selection result is notified to the corresponding party, and corresponding charging is completed, and the cost generated by subsequent data use is paid by U1 to the selected data provider.

If the operation right of the satellite D3 is also included in S2, the satellite D3 may respond with (S2, D3, P1, T3, Price 3), and within a certain time earlier than T3, the intelligent contract may automatically determine S1 and S2 whose prices are more suitable for selection, and at the same time, determine the capability of the D3 such as resolution.

The response to U2 and subsequent services are performed in a similar process.

In the example of fig. 3, based on the block chain and the intelligent contract thereof, the service mode of space subscription and advance bidding is realized, so that the transaction of the space data is automatically performed, the data use cost of the data user is reduced as much as possible, the data provider avoids invalid calculation, win-win is realized, and the space data is efficiently used.

The flow in fig. 1 is executed mainly from the perspective of the service platform side, and based on the same idea, separate flows for the data provider and the data consumer are further provided, see fig. 4 and fig. 5.

Fig. 4 is a flowchart of another method for using block chain-based satellite remote sensing data according to one or more embodiments of the present disclosure, which is described from the perspective of a data provider.

The flow in fig. 4 may include the following steps:

s402: and sending response information of the data request of the data using party to the service platform party so that the response information is stored on the block chain, wherein the response information indicates the satellite capacity and the data using cost.

S404: and receiving determined selection information sent by operating an intelligent contract to select a data provider, wherein the intelligent contract selects the data provider according to a preset optimization strategy and response information stored on the blockchain.

The selection information is determined for notifying that the receiving object has been selected.

S406: and responding to the determined selection information, and sending satellite remote sensing data acquired by aiming at the specified space corresponding to the data request to the service platform side.

S408: and receiving the cost fed back by the data user.

Fig. 5 is a flowchart illustrating a method for using satellite remote sensing data based on a block chain according to one or more embodiments of the present disclosure, which is described from the perspective of a data user.

The flow in fig. 5 may include the following steps:

s502: and sending a data request aiming at the specified space to the service platform side.

S504: and receiving a response according to the satellite remote sensing data acquired aiming at the specified space, wherein the satellite remote sensing data is acquired by a data provider selected by operating an intelligent contract, the intelligent contract selects the data provider according to a preset optimization strategy and response information stored on the blockchain, and the response information is aiming at the data request and indicates satellite capacity and data use cost.

S506: and feeding back the cost to the selected data provider.

Based on the same idea, one or more embodiments of the present specification further provide a device and an apparatus corresponding to the above method.

Fig. 6 is a schematic structural diagram of a device for using satellite remote sensing data based on a block chain according to one or more embodiments of the present specification, where a dashed box in the diagram represents an optional module, the device belongs to a service platform side, and the device includes:

a first receiving module 602, which receives a data request of a data user for a specified space;

a first obtaining module 604, configured to obtain response information of a data provider to the data request, and store the response information on a blockchain, where the response information indicates satellite capability and data usage cost;

a selection module 606 that selects a data provider by running an intelligent contract that selects a data provider according to a predetermined optimization policy and response information stored on the blockchain;

a second obtaining module 608, configured to obtain satellite remote sensing data collected by the selected data provider for the specified space;

and the response control module 610 is used for responding the data user according to the satellite remote sensing data and controlling the cost feedback process of the data user according to the selected data use cost corresponding to the data provider.

Optionally, the first receiving module 602 receives a data request that a data user carries space identification information and analysis requirement information, where the space identification information indicates a specified space, and the analysis requirement information indicates an analysis requirement for the specified space.

Optionally, the designated space comprises a crop planting area, and the analytical requirements comprise at least one of: crop type, crop growth conditions, work conditions on crops, crop harvest prospects, environmental conditions.

Optionally, the apparatus further comprises:

the notifying module 612, before the first obtaining module 604 obtains the response information of the data provider to the data request, sends the data request to one or more data providers according to the registration information of the data provider.

Optionally, the selecting module 606 includes the intelligent contract, and the intelligent contract compares, according to a predetermined optimization policy, data usage costs respectively indicated by a plurality of pieces of response information stored in the blockchain, and/or compares an expected cost indicated by the data request with a data usage cost indicated by the response information stored in the blockchain;

and the intelligent contract selects a data provider according to the comparison result.

Optionally, the selecting module 606 determines that the resolution of the satellite of the data provider to be selected meets a predetermined condition according to the satellite capability indicated by the response information of the data provider to be selected.

Optionally, the response information indicates a predetermined acquisition time for acquiring the satellite remote sensing data for the specified space;

the selecting module 606 selects a data provider before the predetermined acquisition time, and sends the selected result to the data provider corresponding to the response information.

Optionally, the response control module 610 analyzes the satellite remote sensing data according to the analysis requirement information to obtain analysis data;

responding to the data user according to the analysis data;

wherein the satellite remote sensing data is analyzed by at least one of the following modes: by running intelligent contract analysis on the blockchain, by the selected data provider analysis, by other party analysis specified by the service platform side.

Optionally, the response control module 610 stores the satellite remote sensing data in a space-time database, and stores corresponding index information on a block chain;

and according to the index information, at least part of the satellite remote sensing data is obtained by inquiring the time-space database and is sent to the data user.

Fig. 7 is a schematic structural diagram of another block chain-based satellite remote sensing data using device according to one or more embodiments of the present specification, where the device belongs to a data provider, and the device includes:

a first sending module 702, configured to send response information to a data request of a data consumer to a service platform side, so that the response information is stored on a blockchain, where the response information indicates satellite capability and data usage cost;

a second receiving module 704, which receives the determined selection information transmitted by operating the intelligent contract to select the data provider, wherein the intelligent contract selects the data provider according to the preset optimization strategy and the response information stored in the block chain;

the second sending module 706 responds to the determined selection information, and sends the satellite remote sensing data acquired by the designated space corresponding to the data request to the service platform side;

and a third receiving module 708 for receiving the cost fed back by the data consumer.

Fig. 8 is a schematic structural diagram of another block chain-based satellite remote sensing data using device according to one or more embodiments of the present specification, where the device belongs to a data using party, and includes:

a third sending module 802, sending a data request for a specified space to the service platform side;

a fourth receiving module 804, configured to receive a response according to satellite remote sensing data acquired for the specified space, where the satellite remote sensing data is acquired by a data provider selected by operating an intelligent contract, the intelligent contract selects the data provider according to a predetermined optimization policy and response information stored in the block chain, and the response information is for the data request and indicates satellite capacity and data use cost;

and a cost feedback module 806, which feeds back the cost to the selected data provider.

One or more embodiments of the present specification provide a device for using satellite remote sensing data based on a block chain, where the device belongs to a service platform side, and the device includes:

at least one processor; and the number of the first and second groups,

receiving a data request of a data user for a specified space;

One or more embodiments of the present specification provide another block chain-based satellite remote sensing data usage device, which belongs to a data provider, including:

at least one processor; and the number of the first and second groups,

and receiving the cost fed back by the data user.

One or more embodiments of the present specification provide still another block chain-based satellite remote sensing data using apparatus, which belongs to a data using party, including:

at least one processor; and the number of the first and second groups,

sending a data request aiming at a specified space to a service platform side;

and feeding back the cost to the selected data provider.

Based on the same idea, one or more embodiments of the present specification further provide a non-volatile computer storage medium corresponding to the methods of fig. 1, 4, and 5, respectively, and storing computer-executable instructions, which are respectively configured as a flow in the corresponding method.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.

As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The above description is merely one or more embodiments of the present disclosure and is not intended to limit the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.

Claims

1. A satellite remote sensing data use method based on a block chain comprises the following steps:

receiving a data request of a data user for a specified space;

2. The method according to claim 1, wherein the receiving of the data request of the data consumer for the designated space specifically comprises:

receiving a data request carrying space identification information and analysis demand information by a data user, wherein the space identification information indicates a designated space, and the analysis demand information indicates analysis demand on the designated space.

3. The method of claim 2, the designated space comprising a crop planting area, the analytical requirement comprising at least one of: crop type, crop growth conditions, work conditions on crops, crop harvest prospects, environmental conditions.

4. The method of claim 1, prior to obtaining response information of a data provider to the data request, the method further comprising:

and sending the data request to one or more data providers according to the registration information of the data providers.

5. The method of claim 1, wherein the intelligent contract selects a data provider according to a predetermined preference policy and response information stored on the blockchain, and specifically comprises:

the intelligent contract compares the data use cost respectively indicated by a plurality of pieces of response information stored in the block chain according to a preset optimization strategy, and/or compares the expected cost indicated by the data request with the data use cost indicated by the response information stored in the block chain;

6. The method of claim 1, wherein selecting a data provider specifically comprises:

and determining that the resolution of the satellite of the data provider to be selected meets a preset condition according to the satellite capacity indicated by the response information of the data provider to be selected.

7. The method of claim 1, wherein the response information indicates a predetermined acquisition time for acquiring satellite remote sensing data for the specified space;

the selecting a data provider specifically includes:

and selecting a data provider before the preset acquisition time, and sending the selected result to the data provider corresponding to the response information.

8. The method according to claim 2, wherein said responding to said data consumer based on said satellite telemetry data comprises:

analyzing the satellite remote sensing data according to the analysis demand information to obtain analysis data;

responding to the data user according to the analysis data;

9. The method of claim 1, wherein responding to the data consumer based on the satellite telemetry data specifically comprises:

storing the satellite remote sensing data in a space-time database, and storing corresponding index information on a block chain;

10. A satellite remote sensing data use method based on a block chain comprises the following steps:

and receiving the cost fed back by the data user.

11. A satellite remote sensing data use method based on a block chain comprises the following steps:

sending a data request aiming at a specified space to a service platform side;

and feeding back the cost to the selected data provider.

12. A device for using satellite remote sensing data based on a block chain comprises:

13. The apparatus of claim 12, wherein the first receiving module receives a data request from a data consumer, the data request carrying space identification information and analysis requirement information, the space identification information indicating a specified space, and the analysis requirement information indicating an analysis requirement for the specified space.

14. The apparatus of claim 13, the designated space comprising a crop planting area, the analytical requirements comprising at least one of: crop type, crop growth conditions, work conditions on crops, crop harvest prospects, environmental conditions.

15. The apparatus of claim 12, the apparatus further comprising:

and the notification module is used for sending the data request to one or more data providers according to the registration information of the data providers before the first acquisition module acquires the response information of the data providers to the data request.

16. The apparatus according to claim 12, wherein the selection module includes the intelligent contract, and the intelligent contract compares data usage costs respectively indicated by a plurality of response messages stored on the blockchain according to a predetermined preference policy, and/or compares an expected cost indicated by the data request with the data usage cost indicated by the response messages stored on the blockchain;

17. The apparatus of claim 12, wherein the selection module determines that the resolution of the satellite of the data provider to be selected meets a predetermined condition according to the satellite capability indicated by the response information of the data provider to be selected.

18. The apparatus of claim 12, wherein the response information indicates a predetermined acquisition time for acquiring satellite telemetry data for the specified space;

and the selection module selects a data provider before the preset acquisition time and sends the selected result to the data provider corresponding to the response information.

19. The device of claim 13, wherein the response control module analyzes the satellite remote sensing data according to the analysis demand information to obtain analysis data;

responding to the data user according to the analysis data;

20. The apparatus of claim 12, wherein the response control module stores the satellite telemetry data in a space-time database and stores corresponding index information on a block chain;

21. A device for using satellite remote sensing data based on a block chain comprises:

22. A device for using satellite remote sensing data based on a block chain comprises:

and the cost feedback module feeds back the cost to the selected data provider.

23. A block chain-based satellite remote sensing data usage apparatus, comprising:

at least one processor; and the number of the first and second groups,

receiving a data request of a data user for a specified space;

24. A block chain-based satellite remote sensing data usage apparatus, comprising:

at least one processor; and the number of the first and second groups,

and receiving the cost fed back by the data user.

25. A block chain-based satellite remote sensing data usage apparatus, comprising:

at least one processor; and the number of the first and second groups,

sending a data request aiming at a specified space to a service platform side;

and feeding back the cost to the selected data provider.