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CN108280178A - A kind of multi-platform space information resource cooperated sharing method - Google Patents

A kind of multi-platform space information resource cooperated sharing method Download PDF

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Publication number
CN108280178A
CN108280178A CN201810060070.4A CN201810060070A CN108280178A CN 108280178 A CN108280178 A CN 108280178A CN 201810060070 A CN201810060070 A CN 201810060070A CN 108280178 A CN108280178 A CN 108280178A
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service
platform
data
resource
space information
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Inventor
王芙蓉
崔蓓
赵伟伟
郑晓华
孙玉婷
诸敏秋
王亚平
吴掠桅
迟有忠
尹向军
毛燕翎
高奋生
陈踊
姚明
谭成国
雷振
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WUDA GEOINFORMATICS CO Ltd
Nanjing Urban Planning & Research Center
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WUDA GEOINFORMATICS CO Ltd
Nanjing Urban Planning & Research Center
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Priority to CN201810060070.4A priority Critical patent/CN108280178A/en
Publication of CN108280178A publication Critical patent/CN108280178A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/568Storing data temporarily at an intermediate stage, e.g. caching

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Remote Sensing (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention discloses a kind of multi-platform space information resource cooperated sharing methods.This method realizes facility resource collaboration, outcome data collaboration, Map Services collaboration, function module collaboration and O&M information synergism between multiple platforms by establishing multi-platform credit relationship.The method of the present invention is applied in geographic information public service platform, and the data resource of different platform can be effectively integrated, and is realized that data collaborative is shared, has been broken to a certain extent " data silo ".

Description

A kind of multi-platform space information resource cooperated sharing method
Technical field
The invention belongs to spatial information applications to share field, and in particular to a kind of spatial information of multiple public service platforms Resource coordinating sharing method.
Background technology
With government department's digitlization, information-based or even intelligence work development, it is flat that departmental service is built by each department Platform forms abundant space information resource, improves division management and level of decision-making.But this independent construction mode makes Between platform independently of each other, there are data silo, Data duplication acquisition, platform repeated construction, shared collaboration hardly possiblies for space information resource To carry out.Meanwhile the spatial Information Service platform presence service stability of single governments at all levels is low, functional node server process The weaker technical problem of batch request ability.
In technical aspect, domestic mainstream geographical information sharing platform majority is based on directory service (Catalog Service For Web abbreviation CSW) realize the shared of space information resource, but it is not strong to be limited by CSW specification scalabilities, it can not be quick Respond user personality demand.In other words, in CSW specifications, a series of interfaces realized in strict accordance with Meta data system can only Meta data system is served, and the individual requirement beyond Meta data system is then helpless.Such as audit state, service whether It is shared etc. cannot be as the parameter of interface in CSW specifications.
Invention content
For the above defect existing in the prior art, it is total that the present invention provides a kind of multi-platform space information resource collaboration Method is enjoyed, this method can realize the coordination sharing of space information resource facility between multiple service platforms.
To achieve the goals above, the technical solution adopted by the present invention is as follows:
A kind of multi-platform space information resource cooperated sharing method, is realized by the following aspects:
Map Services cooperate with:With RMI technologies, using the metadata information of service as operation object, establish it is multi-platform between Credit relationship, write the business remote interface for space information resource, the business remote interface is between cross-platform Discovery, application, audit and the access of figure Service Source use, and are realized and are interconnected mutually by the business remote interface between multi-platform Logical, all kinds of resources is quickly shared between realization platform;
Outcome data cooperates with:It establishes data and hands over circle circulation pattern, realize that space information resource is total in multi-platform collaboration It enjoys and links update;
Facility resource cooperates with:By configuration preference level algorithm, automatic level evaluation is carried out to the data service of each platform, Service access priority is set, realize the collaboration of the facility resource representated by Map Services and is distributed rationally;
Function module cooperates with:Function module is compiled into swf files by the Modules technologies based on dynamic load;Platform Front end applications load swf files, and function module is loaded into function management area, other platforms are according to the shared examination & approval stream of function Journey uses shared function module;
O&M information synergism:Based on multi-platform credit relationship, monitoring nodes and service monitoring are established, are realized to all sections The monitoring and response of point platform.
The method of the present invention is applied in geographic information public service platform, and the space of each department and unit can be effectively integrated Information resources (geo-spatial data, thematic data etc.), the data for realizing different inter-sectional space information resources hand over circle cycle, The coordination sharing for completing space information resource has been broken " data silo " to a certain extent, forms socialized service system ability Space information resource, for society development provide service, play benefit, save a large amount of manpower, financial resources and material resources, bring Good economic benefit and social benefit.
Description of the drawings
Fig. 1 is the general frame figure of the multi-platform space information resource cooperated sharing method of the present invention.
Fig. 2 is the flow chart of facility resource coordination sharing in the embodiment of the present invention.
Fig. 3 is the flow chart of outcome data coordination sharing in the embodiment of the present invention.
Fig. 4 is the flow chart of Map Services coordination sharing in the embodiment of the present invention.
Fig. 5 is the flow chart of function module coordination sharing in the embodiment of the present invention.
Specific implementation mode
The present embodiment is in conjunction with attached drawing, to illustrate the specific implementation mode of the method for the present invention.
A kind of multi-platform space information resource cooperated sharing method, be by Map Services collaboration, outcome data collaboration, Facility resource collaboration, function module collaboration and O&M information synergism are realized.Specifically:
(1) Map Services cooperate with.It is proposed that multi-platform trust is shared theory and adopted between collaborative platform by RMI technologies first It is communicated with agent way.Each platform realizes Stub (counterfoil) and Skeleton (skeleton) respectively.Stub and Skeleton in the frame in serve as proxy role, Stub is used for the publication of message, calling of the Skeleton for order.Platform Between to establish credit relationship be to realize five bases that cooperate with greatly.It is multi-platform to use Services Oriented Achitecture (Service-Oriented Architecture, SOA) is built.Multi-platform credit relationship should can increase, delete.
By credit between platform, using the metadata information of service as operation object, meeting this platform can quickly find pair The Map Services resource of Fang Pingtai.The coordination sharing of Service Source between realization platform, based on network directory service On the basis of (Catalogue Service for the Web, CSW), existing CSW standard interfaces are extended, are write It is a set of to be used for space information resource business remote interface (Geographic Information Catalog Remote Method Invocation, GICRMI), which defines inquiry, deletion, editor, preservation, the audit of space information resource State, whether service is shared, the affiliated platform of service, service request, services audit state, service approval operation, service-denial behaviour Make etc., can quickly find the Map Services resource of other platforms, realizes being quickly shared for all kinds of resources between platform.In order to improve Service between multi-platform is quickly applied auditing, and Map Services set an agency service to receive user to original service Then request forwards a request to original service, and the result that original service obtains is returned to the user of request original service. When user uses agency service, agency service needs to obtain user right in real time, and is authenticated.And permission is stored in In database, connection database, which is written and read, in real time can substantially reduce efficiency.In order to promote the efficiency of entitlement, the present embodiment It provides a kind of based on Cache Framework realization Service Privileges authentication technique.Realize that Service Privileges authentication technique is profit based on Cache Framework With Cache Framework, Service Privileges information is read into local progress memory cache or disk buffering when servicing startup, is being serviced When request, Agent first does local verification;When Service Privileges change, by the loader of Cache Framework, delayed Deposit information update, it is ensured that the correctness of cache information and authentication process it is reliable and stable.
(2) outcome data cooperates with.Between collaborative platform on the basis of credit, two sides are based on Socket agreements and carry out data Interaction process.First the spatial data in database is exported in Sqlite databases before data interaction, Sqlite databases It is a document data bank, is used for data transmission, realizes data by this way and hand over circle circulation pattern, multi-platform establishes The coordination sharing of space information resource and linkage update.Data hand over circle circulation pattern to realize outcome data between each platform Coordination sharing, while single platform can use the data resource of other platforms to update data, each platform data construction Realize spiral escalation.
Data hand over circle circulation pattern, need to establish unified data standard specification, data producting rule, data submission rule Model.Data production system, including quality control system and production junction system are established, quality control system is to constrain its data mark Standard, quality, update progress etc., production junction system includes data source, data type, data format, metadata specification, junction Mode, workflow, junction Responsibility of Staff, period etc..Platform is according to self-demand, formula of taking the initiative and passive type two ways The outcome data of other platforms is obtained, active refers to according to data responsibility, the shared data resource of active upload;Passive type is Refer to the data resource that credit platform is obtained with network crawl technology;Cleaning, integration of the platform to the outcome data progress of acquisition And processing realizes the renolation of data achievement, while the data that platform is shared under the situation for not stopping platform operation Also more new sources are provided for other platform frames.
(3) facility resource cooperates with.By configuration preference level algorithm, automatic rank is carried out to the data service of each platform and is commented Valence sets service access priority, realizes the collaboration of the facility resource representated by Map Services and distributes rationally.
Priority algorithm includes nearby principle, priority principle or service quality evaluation principle, and user can choose at random It is one of to use.Nearby principle refers to according in user present position and internet operators' information Automatic dispatching cooperative surroundings Nearest service node makes a response user.Priority principle refers to that service is called at the manual given client end of service administrators Priority orders, when user asks service, the high service node of priority provides response to user.Service quality evaluation principle is From measurement level, domain-oriented, portrays object, index supplier and when generate the response in terms of five to influencing service quality Time, peak value, stability, satisfaction, reliability, available network bandwidth, service performance, degrees of comparison, data integrity sum number According to accuracy, this ten quality elements score, and five grades are divided into according to score value height.
(4) function module cooperates with.The functions such as printing, legend are compiled into swf texts by the Modules technologies based on dynamic load The front end applications of part, platform load swf files, and function is loaded into function management area, other platforms are shared according to function Approval process uses sharing functionality.
Wherein, it is that user can be with the function mould in search-read function directorial area by resource center that function, which shares approval process, Block, and can file an application to resource center, application is after platform administrator examination & approval pass through, by ftp by swf file downloads to originally Ground.Then by platform plug-in frame, automatic identification function metamessage is mounted in background server, and automatically updates platform Function management list.
(5) O&M information synergism.On the basis of multi-platform cooperative credit, two kinds of sides of monitoring nodes and service monitoring are established Formula realizes monitoring and response to all node platforms.
Wherein, it is that hardware and Internet Use based on applicator where service are (CPU, memory, hard to establish monitoring nodes The information such as disk space, network I/O read/write rate), by the indices for summarizing, analyzing acquisition respective server.Establish service prison Whether just control is the monitoring based on service access interface, the service condition used for service (such as number, flow, response time, The often information such as response), by the indices for summarizing, analyzing acquisition respective service.
Monitoring nodes are the platforms for mutual credit, and platform can be monitored by the operation of regular visit credit platform and be taken Business interface, extracts the monitoring information of credit platform, and will carry out statistics in monitoring information base and summarize, and realizes in a platform O&M Interface browses the monitoring information of other credit platforms, service state, and can carry out attended operation in real time;Service monitoring is to be directed to award Believe that the service of platform, platform are extracted the service monitoring information of credit platform, summarized by regular visit service monitoring interface It shows, can check the indices of service between credit platform mutually.By monitoring nodes and service monitoring two ways, realize more The unified O&M of platform.
Embodiment
Fig. 1 is the multi-platform space information resource cooperated sharing method general frame figure of the present embodiment.Spatial Information Service is flat Platform is all made of supporting layer, four coating systems architecture construction of data Layer, service layer and application layer.Multiple platforms are first proposed to trust altogether The theory enjoyed, by realizing that remotely multi-platform trusting relationship is established in connection to the RMI of T3 agreements, secondly in each layer of platform architecture Grade realizes the coordination sharing of space information resource.
(1) facility resource collaboration is realized in platform layer.
Fig. 2 is that facility resource shares flow chart, the first step, and platform one selects the data service of this platform, second step, selection The data service of other platforms, third step, selects priority algorithm, former from nearby principle, priority principle, service quality evaluation One of which is selected in then, after the completion of configuration, one user of platform will calculate when request data services according to the priority of configuration Method transfers optimal data service from accessing in inventory.It can both reach service by the facility resource collaboration between multiple platforms The optimum allocation of request can also realize the disaster-tolerant backup of service.
Service quality evaluation principle realizes that process is as follows:
Quality evaluation system include 10 quality elements, can be expressed as 10 tuples (T, P, S, Sa, R, B, SC, Rep, I, A), it is divided into measurement level (service S itself, network environment N, service consumer C), domain-oriented (general dimensions G, field relevant dimension R), portray object (geographic information data service D, geographic information processing service P), index supplier (system Count, service user, ISP) and when generate (before service call, during) for the use of five.
The index explanation of 1 quality evaluation principle of table
Response time:Response time (Time, T) indicates from geographic information services call request is sent out to obtaining the service The time spent in handling result;User, which is handled, including geographic information services itself asks taken time TprocessWith data in network T the time required to upper transmissiontrans, i.e. T=Tprocess+Ttrans;For geographic information services s, the calculating of T (s) will be based on should The historical data of service execution time carries out, i.e.,Wherein Ti(s) it indicates that the service is once called to be disappeared The time of consumption, n indicate the execution number of the service.
Peak value:Peak value (Peak, P), for describing in the unit interval, user concurrent number of request.
Stability:Stability (Stability, S), service are forced to restart interval time, and it is longer to be forced to restart interval time, Indicate that service is more stable.
Satisfaction:Satisfaction (Satisfaction, Sa) describes satisfaction of the user to handling result, satisfaction Calculating is that the historical data of foundation geographic information processing service execution is carried out using statistical method, i.e. Sa (s)=1-F (s)/ T (s), wherein F (s), which are handling results, can not enable customer satisfaction system number, T (s) indicate that geographic information processing service s is called Total degree.
Reliability:Reliability (Reliability, R) indicates that geographic information services call the probability successfully and executed, can Situation by setting and the network connection of property and the hardware, software of geographic information services host has relationship;Service reliability Calculating be also what the historical data executed according to geographic information services was carried out using statistical method, i.e. R (s)=1-M (s)/N (s), wherein M (s) is the number of the called failures of geographic information services s, and N (s) indicates the called total degrees of s.
Available network bandwidth:Available network bandwidth (Bandwidth, B), network is current where indicating geographic information services Available bandwidth, network bandwidth obtain in real time according to the monitoring information of Resource Information Service.
Server performance:Server performance (Server Capability, SC) indicates the performance information of service host, property Can parameter include CPU occupation rate (Processor occupation, Po) and free memory rate (Remainder memory, Rm);The calculating of server performance can be dependent on formula S C (s)=0.5* (1-Po)+0.5*Rm, and wherein weights are preliminary given , user can be adjusted as needed;Po and Rm is obtained in real time according to the monitoring information of Resource Information Service.
Degrees of comparison:Degrees of comparison (Reputation, Rep) indicates evaluation and satisfaction of the user to geographic information services Degree, by using the user of the service to provide, calculation basis is the evaluation fed back statistics for the user for previously having called the service Data, i.e.,Repi(s) service evaluation of i-th of user is indicated;The setting of degrees of comparison can be with Using qualitatively and quantitatively two methods, it is contemplated that generic services user can not completely understand quantitative numerical Evaluation and handle It holds, so the degrees of comparison of geographic information services is qualitatively divided into five classes here, i.e. rep ∈ it is very poor, and it is poor, it is generally, good, very It is good }, and mapping is established between quantitative numerical value in qualitative portray.Ordinary user's selection qualitatively portrays to evaluate service, The qualitative evaluation of user is mapped as quantitative numerical value to calculate the degrees of comparison statistics of service by geographic information services application framework Value.Mapping function f (rep) is defined as follows:
Data integrity:Data integrity (Integrality, I), the dimension be suitable for geographic information data service into Row measurement indicates the integrated degree that the spatial data that geographic information data service is provided describes real geographical phenomenon, does not have Omit the geographic element that describe.
The data precision:The data precision (Accuracy, A), the dimension are suitable for carrying out geographic information data service Measurement indicates the degree of closeness for the spatial data and true geographical phenomenon that geographic information data service is provided;Due to space spy Sign, thematic feature and temporal characteristics are to express three fundamentals of geography information, therefore the data of geographic information services are accurate Degree can be from position accuracy or positional accuracy As(referring to the coordinate data of spatial entities and the degree of closeness of actual position) belongs to Property accuracy Aa(referring to the degree that the attribute value of spatial entities is consistent with its actual value) and time accuracy At(refer to geography information Up-to-date state) three aspects are measured, three aspects constitute the value of the data precision, i.e. A (s) according to certain weighted sum =0.3*As+0.3*Aa+0.4*At, wherein weights are tentatively given, and user can be adjusted as needed.
It determines after evaluation index it is necessary to quantifying to index.In scientific appraisal, conscientiously predicts and solicit extensively respectively On the basis of aspect opinion, following quantitative criteria or method are determined:
1) response time, if constant t1For time maximum, constant t2For time bottom line, it is less than when the response time t2When, give 100 score value of index;It is higher than t between when implemented1When, it is perceived according to itself by evaluation unit, gives index 0~50 Score value;Between t between when implemented1And t2Between when, give index 50~100 score value.
2) peak value, handling capacity P0 (the maximum concurrent users that service can be supported that score value is issued by ISP Quantity), the maximum concurrent user quantity P (s) of active service determine, i.e. P (s)/P0 × 100, to give its 0-100 score value, When peak value is closer to handling capacity, score value is higher.
3) stability, service were forced to restart interval not less than S0=15000 hours.When service be forced to restart interval be equal to or More than S0 hours, give its 100 score value, when service be forced to restart interval be less than S0 it is small when, it is small with S0 according to being forced to restart interval When difference degree determine its score value, i.e. S (s)/S0 × 100.
3) satisfaction, score value determine by satisfaction, i.e. Sa (s) × 100.
4) reliability is called the probability successfully and executed to be multiplied by 100 and is obtained, is i.e. R (s) × 100 by spatial Information Service.
5) available network bandwidth, for evaluation unit according to the monitoring information of Resource Information Service, log on bandwidth is B0, real Border statistics network is averaged available network bandwidth as B (s), i.e. B (s)/B0 × 100 gives 0-100 score values.
6) server performance, score value are determined by SC (s) × 100.
7) degrees of comparison is come out to problem marking by portal website user, is divided into 5 grades, sees sky Between Information Service Quality assessment indicator system define.Unit root is evaluated according to degrees of comparison and itself perception, gives its 0-100 points Value.
8) data integrity is collected by portal website, and value is determined according to service user's feedback frequency, gives 0- 100 score values, when feedback frequency is bigger, score value is accordingly fewer.
9) the data precision, score value are determined by A (s) × 100.
Considering the degree of independence between each index significance level, index, index feature, limitation and is actually making With factors such as effects, each index weights of service evaluation are determined:Response time (W1) weighted value be 0.18, peak value (W2) weighted value is 0.05, stability (W3) weighted value be 0.15, satisfaction (W4) weighted value be 0.05, reliability (W5) weighted value be 0.13, can use Network bandwidth (W6) weighted value be 0.06, server performance (W7) weighted value be 0.07, degrees of comparison (W8) weighted value be 0.08, Data integrity (W9) weighted value be 0.12, data accuracy (W10) weighted value be 0.11.
The mathematic(al) representation of comprehensive multi-index QoS evaluating method is as follows:
S=W1S1+W2S2+......+WnSn,
Wherein, W1+W2+......+Wn=1,0≤Wi≤ 1, i=1,2 ..., n
Si、WiIt is the scoring to i-th of index of certain object and weight respectively, S is the assessment total score to the object.Score is got over Height, service class are higher.Qualitatively and quantitatively two methods may be used in the setting of service quality rating, it is contemplated that generic services are used Family to quantitative numerical Evaluation can not complete understanding and grasping, so service quality rating is qualitatively divided into five here Class, i.e. F (S) ∈ { five-pointed star, four stars, Samsung, two stars, a star }, and mapping is established between quantitative numerical value in qualitative portray. Mapping function F (S) is defined as follows:
By above-mentioned service quality evaluation principle, the service for participating in collaboration can be weighed and be evaluated, delimit seeervice level Not.To be assisted for service operation management, facility resource, comparable applications provide early warning and automatic business processing is possibly realized.
(2) outcome data collaboration is realized in data Layer
Fig. 3 is outcome data coordination sharing flow chart, and platform one fills in the metamessage of shared data, and (including data provide Side, data volume, data amount check and data description) etc. contents, upload outcome data after the completion, while message is sent to platform two Notice, after platform two can submit data request slip, the examination & approval of platform one to pass through to platform one, platform two can be direct by shared data It is downloaded to local, the also Develop Data achievement-sharing in the way of platform two of other platforms, phase between each platform data achievement It mutually supplements and perfect.
(3) Map Services collaboration and O&M information synergism are realized in service layer.
Map Services collaboration be using the metadata information of service as operation object, using trust share theory as construction basis, It is shared to establish the push serviced between multiple platforms.Fig. 4 is Map Services cooperation flow, and platform issues Map Services, for can Shared service sends message notifying other platforms, other platforms submit order, platform Map Services can be used after the approval, Realize that the push serviced between multiple platforms is shared.
O&M information synergism, based on monitoring nodes and service monitoring two ways, it can be achieved that the monitoring of all platforms and It responds, O&M information can be monitored mutually between platform.When platform one can not access for some reason, agency service can be by the clothes of user Business request is transmitted to platform two and provides supporting in real time, after waiting the service recovery of platforms one to run, then is cut manually by administrator It returns.
(4) function module collaboration is realized in application layer.
Fig. 5 is function module coordination sharing flow chart.Function is shared using using the Modules technologies of dynamic load will to beat The function modules such as print, legend, are compiled into swf files, and sharable function swf file distributions, platform two are filled in Shen by platform one Please be single, locally downloading after being examined, by platform plug-in frame, automatic identification function metamessage is mounted to background server In, and automatically update the function management list of platform two.

Claims (8)

1. a kind of multi-platform space information resource cooperated sharing method, which is characterized in that this method passes through the following aspects It realizes:
Map Services cooperate with:With RMI technologies, using the metadata information of service as operation object, establish it is multi-platform between award Gateway system writes the business remote interface for space information resource, which takes for map between cross-platform Discovery, application, audit and the access for resource of being engaged in use, and are interconnected by business remote interface realization between multi-platform, All kinds of resources is quickly shared between realization platform;
Outcome data cooperates with:Establish data hand over circle circulation pattern, realize space information resource multi-platform coordination sharing and Linkage update;
Facility resource cooperates with:By configuration preference level algorithm, automatic level evaluation, setting are carried out to the data service of each platform Service access priority is realized the collaboration of the facility resource representated by Map Services and is distributed rationally;
Function module cooperates with:Function module is compiled into swf files by the Modules technologies based on dynamic load;The front end of platform Using load swf files, and function module is loaded into function management area, other platforms share approval process according to function to be made With shared function module;
O&M information synergism:Based on multi-platform credit relationship, monitoring nodes and service monitoring are established, are realized flat to all nodes The monitoring and response of platform.
2. a kind of multi-platform space information resource cooperated sharing method according to claim 1, which is characterized in that on ground In figure service collaboration, an agency service is set to receive request of the user to original service, is then forwarded a request to original Service, and the result that original service obtains is returned to the user for asking original service;When user uses agency service, generation Reason service need to obtain user right in real time, and be authenticated based on Cache Framework:When agency service starts, by Service Privileges Information reads local progress memory cache or disk buffering;When user asks to service, agency service first does local verification;When When Service Privileges change, by the loader of Cache Framework, cache information update is carried out.
3. a kind of multi-platform space information resource cooperated sharing method according to claim 1, which is characterized in that in number In being cooperateed with according to achievement, it refers to outcome data coordination sharing between each platform that data, which hand over circle circulation pattern, while single platform The data resource of other platforms can be used to update data.
4. a kind of multi-platform space information resource cooperated sharing method according to claim 1, which is characterized in that providing In the facility collaboration of source, priority algorithm uses nearby principle, priority principle or service quality evaluation principle.
5. a kind of multi-platform space information resource cooperated sharing method according to claim 4, which is characterized in that described Service quality evaluation principle be from measurement level, domain-oriented, portray object, index supplier and when generate five in terms of it is right Influence response time, peak value, stability, satisfaction, reliability, available network bandwidth, service performance, the prestige etc. of service quality Grade, data integrity and data accuracy this ten quality elements score, according to score value height divided rank.
6. a kind of multi-platform space information resource cooperated sharing method according to claim 5, which is characterized in that described The weighted value of ten quality elements is respectively:The weighted value of response time is 0.18, and the weighted value of peak value is 0.05, stability Weighted value is 0.15, and the weighted value of satisfaction is 0.05, and the weighted value of reliability is 0.13, and the weighted value of available network bandwidth is 0.06, the weighted value of server performance is 0.07, and the weighted value of degrees of comparison is 0.08, and the weighted value of data integrity is 0.12, the weighted value of data accuracy is 0.11.
7. a kind of multi-platform space information resource cooperated sharing method according to claim 1, which is characterized in that in work( In energy module cooperative, it is that user can be with the function mould in search-read function directorial area by resource center that function, which shares approval process, Block, and can filing an application to resource center, application is after platform administrator examination & approval pass through, by ftp by the swf file downloads To local;Then by platform plug-in frame, automatic identification function metamessage is mounted in background server, and is automatically updated flat The function management list of platform.
8. a kind of multi-platform space information resource cooperated sharing method according to claim 1, which is characterized in that transporting Tie up in information synergism, it is hardware and Internet Use based on applicator where service to establish monitoring nodes, by summarizing and Analysis obtains the indices of respective server;It is the monitoring based on service access interface to establish service monitoring, is made for service Service condition, by the indices for summarizing and analyzing acquisition respective service.
CN201810060070.4A 2018-01-22 2018-01-22 A kind of multi-platform space information resource cooperated sharing method Pending CN108280178A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109862080A (en) * 2019-01-09 2019-06-07 上海孚盟软件有限公司 A kind of big data application platform based on cloud computing
CN109960478A (en) * 2019-04-02 2019-07-02 武大吉奥信息技术有限公司 A kind of Web map printing method for previewing and device
CN111399927A (en) * 2018-12-14 2020-07-10 北京奇虎科技有限公司 Method and device for sharing Class file by application and computing equipment
CN111915274A (en) * 2020-07-31 2020-11-10 南通市测绘院有限公司 Collaborative office method based on space-time chain
CN113704178A (en) * 2021-09-18 2021-11-26 京东方科技集团股份有限公司 Big data management method, system, electronic device and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102065127A (en) * 2010-11-26 2011-05-18 北京邮电大学 Cross-layer trust certificate group management mechanism-based trusted P2P file sharing service node selection method
CN103259872A (en) * 2013-05-31 2013-08-21 江苏物联网研究发展中心 Multi-source heterogeneous geographic information service platform based on open-type grid system
CN103888518A (en) * 2014-03-06 2014-06-25 西安邮电大学 Service design method of informatization public platform
CN104125221A (en) * 2014-07-17 2014-10-29 东北大学 IMS (IP (Internet Protocol) multimedia subsystem) terminal equipment multiple soft-terminal resource sharing and application collaborative device and method
CN104657918A (en) * 2015-01-21 2015-05-27 胡宝清 Regional resource environmental data sharing and comprehensive service platform
CN106850666A (en) * 2017-03-02 2017-06-13 水禾测绘信息技术有限公司 The shared cloud platform of Forestry Information and monitoring operation system
CN107465732A (en) * 2017-07-28 2017-12-12 国网江西省电力公司南昌供电分公司 Intelligent electricity supplying and using system and method based on shared theory

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102065127A (en) * 2010-11-26 2011-05-18 北京邮电大学 Cross-layer trust certificate group management mechanism-based trusted P2P file sharing service node selection method
CN103259872A (en) * 2013-05-31 2013-08-21 江苏物联网研究发展中心 Multi-source heterogeneous geographic information service platform based on open-type grid system
CN103888518A (en) * 2014-03-06 2014-06-25 西安邮电大学 Service design method of informatization public platform
CN104125221A (en) * 2014-07-17 2014-10-29 东北大学 IMS (IP (Internet Protocol) multimedia subsystem) terminal equipment multiple soft-terminal resource sharing and application collaborative device and method
CN104657918A (en) * 2015-01-21 2015-05-27 胡宝清 Regional resource environmental data sharing and comprehensive service platform
CN106850666A (en) * 2017-03-02 2017-06-13 水禾测绘信息技术有限公司 The shared cloud platform of Forestry Information and monitoring operation system
CN107465732A (en) * 2017-07-28 2017-12-12 国网江西省电力公司南昌供电分公司 Intelligent electricity supplying and using system and method based on shared theory

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘怀亮: "《软件组建技术》", 30 June 2007 *
周林: "《网络GIS开发实践入门》", 31 August 2014 *
宋爱红,谭成国: "在线地理信息服务质量评价研究", 《测绘地理信息》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111399927A (en) * 2018-12-14 2020-07-10 北京奇虎科技有限公司 Method and device for sharing Class file by application and computing equipment
CN109862080A (en) * 2019-01-09 2019-06-07 上海孚盟软件有限公司 A kind of big data application platform based on cloud computing
CN109960478A (en) * 2019-04-02 2019-07-02 武大吉奥信息技术有限公司 A kind of Web map printing method for previewing and device
CN109960478B (en) * 2019-04-02 2022-03-08 武大吉奥信息技术有限公司 Web map printing preview method and device
CN111915274A (en) * 2020-07-31 2020-11-10 南通市测绘院有限公司 Collaborative office method based on space-time chain
CN113704178A (en) * 2021-09-18 2021-11-26 京东方科技集团股份有限公司 Big data management method, system, electronic device and storage medium

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