A kind of product demand acquisition methods, device, equipment and storage mediumTechnical field
The present embodiments relate to data analysis field more particularly to a kind of product demand acquisition methods, device, equipment andStorage medium.
Background technique
Demand is user's certain service and/or function and demand for proposing in order to obtain under special scenes, be product mostPurpose to be achieved, product demand occupy extremely important status in the product eventually, decide after product is made by user admissionDegree.
At present in the investigation of product demand, especially in the investigation of special industry (for example, security against fire) product demand, needleData processing to unitary demand information recording carrier (for example, scene notes), is typically based on manual analysis and by similarProduct experience carries out Product Requirement Analysis.
In the implementation of the present invention, the discovery prior art has following defect: existing product demand obtains inventorMode lacks the standard definition of product requirement, can not accurate description which kind of information be meet demand effective information, meanwhile, onlyThe experience for only relying on technical staff defines product demand, and it is poor to meet product demand effect, and it is tight to frequently result in life cycle of the productExceed the time limit again, or even can not normally deliver.
Summary of the invention
The embodiment of the invention provides a kind of product demand acquisition methods, device, equipment and storage mediums, to realize productThe intelligent of demand is excavated.
In a first aspect, the embodiment of the invention provides a kind of product demand acquisition methods, this method comprises:
The product demand sample that will acquire is converted into structuring demand data, and stores the structuring demand data；
According to historical product demand, product demand data dictionary is constructed；
Data processing is carried out according to the structuring demand data of the storage；
Treated structuring demand data and product demand data dictionary progress similarity are compared, determine productDemand information.
Second aspect, the embodiment of the invention also provides a kind of product demand acquisition device, which includes:
Structuring demand data obtains module, and the product demand sample for will acquire is converted into structuring demand numberAccording to, and store the structuring demand data；
Product demand data dictionary obtains module, for constructing product demand data dictionary according to historical product demand；
Data processing module, for carrying out data processing according to the structuring demand data of the storage；
Similarity comparison module, for carrying out treated structuring demand data and the product demand data dictionarySimilarity compares, and determines product demand information.
The third aspect the embodiment of the invention also provides a kind of computer equipment, including memory, processor and is stored inOn memory and the computer program that can run on a processor, which is characterized in that the processor executes real when described programProduct demand acquisition methods described in existing any embodiment of that present invention.
Fourth aspect, the embodiment of the invention provides a kind of storage medium comprising computer executable instructions, the metersCalculation machine executable instruction is obtained when being executed as computer processor for executing product demand described in any embodiment of that present inventionTake method.
The technical solution of the embodiment of the present invention carries out data processing by the product demand sample that will acquire, and with rootSimilarity comparison is carried out according to the product demand data dictionary of historical product demand building, and then determines product demand information, is avoidedThe simple historical experience by research staff constructs product demand, caused by product demand position inaccurate the phenomenon that send outIt is raw, meanwhile, it overcomes in existing product demand excavation, lacks and defined with the common standard of product and business, pass through intelligenceExcavation mode has got accurate product demand, saves human cost and time cost.
Detailed description of the invention
Fig. 1 is the flow chart of one of embodiment of the present invention one product demand acquisition methods；
Fig. 2 is the flow chart of one of embodiment of the present invention two product demand acquisition methods；
Fig. 3 is the structural block diagram of one of embodiment of the present invention three product demand acquisition device；
Fig. 4 is the structural block diagram of the equipment in the embodiment of the present invention four.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouchedThe specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to justOnly the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow chart for product demand acquisition methods that the embodiment of the present invention one provides, and the present embodiment is applicableIn determine product demand jointly according to product demand sample and historical product demand the case where, this method can be by product demandAcquisition device executes, which can be by software and or hardware realization, and generally can integrate and to set in product demand acquisitionIn standby, typically, it is integrated in database server, this method specifically comprises the following steps:
S110, the product demand sample that will acquire are converted into structuring demand data, and store the structuring demandData.
Product demand sample usually exists in the form of " multi-source is polymorphic "；That is, there are multiple offer product demand samples in multi-sourceThis technical staff, and each technical staff may provide one or more product demand samples, therefore, for a productSpeech, there are multiple product demand samples；Polymorphic, i.e. product demand sample exists in a variety of forms, for example, paper document and electronicsFile etc..Wherein, for paper document (for example, the scene of technical staff is taken down notes), data is carried out by artificial intelligence technology and are addedWork, which is converted into computer, can recognize the structuring demand data of processing, and be stored in database (for example, relevant database),Ensure real-time data record and retrospect；Wherein, structuring demand data is by two-dimentional table structure come the number of logical expression and realizationAccording to, it then follows certain data format and length specification.Optionally, in embodiments of the present invention, for the type of database andThe type of structuring demand data is not especially limited.
Optionally, in embodiments of the present invention, structuring demand data is converted into the product demand sample that will acquireIt later, further include carrying out data screening according to default screening conditions, using the structuring demand data of guarantee acquisition as valid data,Namely guarantee that the structuring demand data obtained is related to product demand, prevent the data unrelated with product demand from entering dataLibrary.For example, " bluetooth " can be preset as to aiming field, the only product demand for the product demand of handset communications deviceThe product demand sample could be considered as by the number for occurring " bluetooth " or " bluetooth " appearance in sample greater than a certain setting value to be hadImitate file；Otherwise, which is considered as inactive file, without storage.
Optionally, in embodiments of the present invention, artificial intelligence technology includes Baidu's handwriting identification interface；Specifically,The product demand sample that will acquire is sent in Baidu's handwriting identification interface, to carry out text to the product demand sampleIdentification, and receive the recognition result that Baidu's handwriting identification interface returns.Interface is identified by Baidu's handwriting, it can be rightHandwritten Chinese Chinese character and number are identified, the electronization of the paper documents such as digest and notes is realized.
S120, according to historical product demand, construct product demand data dictionary.
By obtaining historical product (i.e. existing procucts) relevant to product demand and corresponding history in the databaseProduct demand sample, and carry out keyword word segmentation processing and the processing of keyword word frequency statistics.
Optionally, in embodiments of the present invention, Chinese lexical analysis system (Institute of can be passed throughComputing Technology, Chinese Lexical Analysis System, ICTCLAS) carry out keyword participleProcessing, and obtain the word frequency statistics of each keyword；Wherein, word frequency namely the keyword go out occurrence in product demand sampleNumber；Specifically, the history is produced by after getting historical product demand sample relevant to product demand in the databaseProduct demand sample is sent to Chinese lexical analysis system so that Chinese lexical analysis system to the historical product demand sample intoRow keyword word segmentation processing, and obtain processing result；Wherein, processing result includes include each in historical product demand sampleKeyword and corresponding word frequency statistics, by each historical product demand sample keyword and word frequency statistics summarize；If oneKeyword appears in multiple historical product demand samples, then the word frequency by the keyword in each historical product demand sampleSummation, gets all keywords relevant to historical product demand and corresponding word frequency statistics.Product demand data dictionary packetInclude above-mentioned all keywords with historical product demand sample and corresponding word frequency statistics data.
S130, data processing is carried out according to the structuring demand data of the storage.
Optionally, in embodiments of the present invention, by data mining algorithm, to the structuring demand data of the storage intoRow data processing；Data mining algorithm is according to one group of heuristic of data creation data mining model and calculating；Specifically, logicalData mining algorithm is crossed, keyword word segmentation processing is carried out, at keyword word frequency statistics to the structuring demand data of the storageReason, weight quantification treatment and calculation of relationship degree processing, to obtain key factor.
Keyword word segmentation processing is carried out at participle by structuring demand data of the Chinese lexical analysis system to storageReason, to obtain each keyword；Keyword word frequency statistics processing, be each keyword that will acquire and corresponding word frequency (i.e.Frequency of occurrence) it is shown with tabular form；It is the keyword for including in three product demand samples and corresponding for example, shown in table 1Word frequency.
Table 1
| Title | Keyword | Word frequency | Keyword | Word frequency | Keyword | Word frequency |
| Product demand sample 1 | Bluetooth | 2 | It is infrared | 3 | Modulation | 4 |
| Product demand sample 2 | It is infrared | 6 | Optical fiber | 5 | Hertz | 4 |
| Product demand sample 3 | Wirelessly | 3 | Modulation | 4 | Microwave | 5 |
Weight quantification treatment is to obtain weight shared by each keyword in each product demand sample, and weight is bigger, and indicating shouldKeyword is more important in product demand sample；Specifically, by taking the keyword of product demand sample 1 in table 1 and word frequency as an example, it is firstFirst, judgment matrix A needed for constructing root method, as follows:
Each row element in above-mentioned judgment matrix A is subjected to product calculation, gets three numerical value 2/3,9/8 and respectively8/3；Since judgment matrix A is third-order matrix, the above results carry out to 3 th Root operations respectively, obtain numerical value 0.87,1.04 and 1.39, then be normalized, keyword " bluetooth ", " infrared " and " modulation " is finally obtained in product demand sampleWeight in 1 is respectively 0.26,0.32 and 0.42.
The degree of association indicates the correlation degree between two things；In embodiments of the present invention, the degree of association indicates each keySignificance level of the word in all product demand samples, the degree of association is higher, then the keyword is more important；By product demand sampleThe word frequency of middle keyword obtains keyword rate of specific gravity multiplied by corresponding weight, if a keyword appears in multiple product demandsIn sample, then the association angle value of the keyword is asking for keyword rate of specific gravity of the keyword in each product demand sampleWith for example, keyword " infrared " respectively appears in product demand sample 1 and product demand sample 2, according to above-mentioned meter in table 1Calculation process, the word frequency of " infrared " in product demand sample 1 are 3, weight 0.32；And " infrared " in product demand sample 2Word frequency be 6, weight 0.33, therefore, " infrared " corresponding association angle value be 3 × 0.32+6 × 0.33=2.94；It will be eachKeyword is ranked up from high in the end according to association angle value, and association angle value is higher, illustrates the keyword in all product demand samplesProportion is bigger in this, and the influence to product demand is bigger.
Key factor is for the keyword that product demand has a major impact, in embodiments of the present invention, can basisPreset quantity threshold value, obtaining corresponding keyword as key factor will sort highest for example, preset quantity threshold value is 5Key factor of 5 keywords as product demand；Corresponding keyword conduct can also be obtained according to degree of association threshold value is presetKey factor, for example, default degree of association threshold value is 1.2, then association angle value is greater than or equal in all keywords after sequence1.2 keyword is used as key factor.
S140, treated structuring demand data and product demand data dictionary progress similarity are compared, reallyFixed output quota product demand information.
Product demand information is determined jointly by treated structuring demand data and the product demand data dictionary,In embodiments of the present invention, optionally, similarity is carried out with the product demand data dictionary according to the key factor to compare,To determine product demand information.Specifically, can be according to keyword in the quantity or product demand data dictionary of key factorWord frequency, keyword template as a comparison is extracted from product demand data dictionary, for example, key factor quantity is 50, thenHighest 100 keywords of word frequency are extracted from product demand data dictionary forms contrast mould；Or from product demand dataThe keyword composition contrast mould that word frequency is more than 5 is extracted in dictionary.
According to preset matching rule, each of each key factor and contrast mould keyword are subjected to similarityMatching, obtains the matching value of each key factor.Wherein, preset matching rule defines the matching relationship between keyword, withAnd corresponding matching value, it can according to need building；For example, preset matching rule includes " electric car " and " electric car "Similarity is identical, matching value 5；" electric car " is similar, matching value 4 to the similarity of " new-energy automobile "；It is " electronicThe similarity of automobile " and " hybrid vehicle " is that relevance is strong, matching value 3；The phase of " electric car " and " fuel-engined vehicle "It is that relevance is weak like degree, matching value 2；The similarity of " electric car " and " mobile phone " is onrelevant, matching degree 1.
According to above-mentioned preset matching rule, if key factor is " electric car ", and in contrast mould include " electronic vapourVehicle ", then the matching value of key factor " electric car " is 5；If key factor is " electric car ", and is not wrapped in contrast mould" electric car " and " new-energy automobile " are included, includes " fuel-engined vehicle ", then the matching value of key factor " electric car " is2.According to the above technical scheme, each of each key factor and contrast mould keyword are carried out similarity mode itAfterwards, the matching value of each key factor can be obtained.Rule are obtained according to the matching value of each key factor and preset matching valueThen, the key factor for meeting matching value requirement is obtained as final product demand information；Wherein, preset matching value obtains ruleSpecific matching value requirement is defined, for example, preset matching value obtains rule to obtain the key factor that matching value is equal to 5, tableIt is bright at this time in order to improve the acquisition precision of keyword, define higher matching value；Preset matching value obtains rule as acquisitionIt is greater than or equal to 2 key factor with value, shows the acquisition range for expanding keyword at this time, in order to avoid omitting keyword, avoidsProduct demand loses important information.
The technical solution of the embodiment of the present invention carries out data processing by the product demand sample that will acquire, and with rootSimilarity comparison is carried out according to the product demand data dictionary of historical product demand building, and then determines product demand information, is avoidedThe simple historical experience by research staff constructs product demand, caused by product demand position inaccurate the phenomenon that send outIt is raw, meanwhile, it overcomes in existing product demand excavation, lacks and defined with the common standard of product and business, pass through intelligenceExcavation mode has got accurate product demand, saves human cost and time cost.
Embodiment two
Fig. 2 is a kind of flow chart of product demand acquisition methods provided by Embodiment 2 of the present invention, and the present embodiment is with above-mentionedIt is embodied based on embodiment, further includes according to product demand after determining product demand information in embodiments of the present inventionInformation generates product demand document, correspondingly, the method for the present embodiment specifically includes following operation:
S210, the product demand sample that will acquire are converted into structuring demand data, and store the structuring demandData；
S220, according to historical product demand, construct product demand data dictionary；
S230, data processing is carried out according to the structuring demand data of the storage；
S240, treated structuring demand data and product demand data dictionary progress similarity are compared, reallyFixed output quota product demand information.
S250, product demand document is generated according to the product demand information, and according to the product demand document structure treeProduct Requirement Analysis report and/or product demand confirmation form.
Product demand document is the process that product demand is changed into " standard map " by " concept ".
S260, judge whether the Product Requirement Analysis report and/or product demand confirmation form meet user demand；IfIt is no, then S240 is returned, according to the user demand, adjusts the product demand data dictionary, and according to product need adjustedData dictionary is asked to determine product demand information adjusted；If so, executing S270.
Specifically, showing the Product Requirement Analysis report and/or product demand confirmation form if getting modification instructionIt is unsatisfactory for user demand, according to the user demand in modification instruction, adjusts product demand data dictionary, namely rebuild productDemand data dictionary；For example, the word frequency of keyword " bluetooth " is 20 in product demand data dictionary before adjustment, and user demandIn include the word frequency of " bluetooth " is revised as specified quantity or improve specified multiple；Or in the product data dictionary before adjustmentDo not occur keyword " infrared ", and in user demand include addition keyword " infrared ", and specify corresponding word frequency, is completed with thisUpdate and optimization to product demand data dictionary；It particularly, can also include in above-mentioned technical proposal in user demandPreset matching rule and preset matching value obtain the modification of rule；According to the product demand data dictionary after rebuilding, andStructuring demand data that treated obtains product demand information adjusted again and weighs if still not satisfying user demandMultiple above-mentioned steps, are iterated processing, until meeting user demand.If getting confirmation instruction, that is, show the product demandAnalysis report and/or product demand confirmation form meet user demand.
S270, the product demand data dictionary and the product demand information are stored.
When carrying out similar product exploitation after ensuring, the multiplexing of product demand information.
The technical solution of the embodiment of the present invention constantly adjusts product demand data dictionary according to user demand, and then constantlyTraining structure demand data is reduced until finally excavating the key message for meeting user demand since each participant thinksInterference from human factor caused by road is different improves the reliability of product design research and development, has prevented the risk for deviateing product demand,To substantially increase user to the satisfaction of final products.
Embodiment three
Fig. 3 is a kind of structural schematic diagram for product demand acquisition device that the embodiment of the present invention three provides, and is specifically included: knotStructure demand data obtains module 310, product demand data dictionary obtains module 320, data processing module 330 and similarity ratioTo module 340.
Structuring demand data obtains module 310, and the product demand sample for will acquire is converted into structuring demandData, and store the structuring demand data；
Product demand data dictionary obtains module 320, for constructing product demand data word according to historical product demandAllusion quotation；
Data processing module 330, for carrying out data processing according to the structuring demand data of the storage；
Similarity comparison module 340, for will treated structuring demand data and the product demand data dictionarySimilarity comparison is carried out, determines product demand information.
The technical solution of the embodiment of the present invention carries out data processing by the product demand sample that will acquire, and with rootSimilarity comparison is carried out according to the product demand data dictionary of historical product demand building, and then determines product demand information, is avoidedThe simple historical experience by research staff constructs product demand, caused by product demand position inaccurate the phenomenon that send outIt is raw, meanwhile, it overcomes in existing product demand excavation, lacks and defined with the common standard of product and business, pass through intelligenceExcavation mode has got accurate product demand, saves human cost and time cost.
Optionally, based on the above technical solution, data processing module 330 are specifically used for:
By data mining algorithm, data processing is carried out to the structuring demand data of the storage.
Optionally, based on the above technical solution, data processing module 330 are specifically also used to:
By data mining algorithm, keyword word segmentation processing, keyword are carried out to the structuring demand data of the storageWord frequency statistics processing, weight quantification treatment and calculation of relationship degree processing, to obtain key factor.
Optionally, based on the above technical solution, similarity comparison module 340, is specifically used for:
It carries out similarity with the product demand data dictionary according to the key factor to compare, to determine that product demand is believedBreath.
Optionally, based on the above technical solution, product demand acquisition device, further includes:
Product demand document creation module is used for according to product demand information generation product demand document, and according toThe product demand document structure tree Product Requirement Analysis report and/or product demand confirmation form.
Optionally, based on the above technical solution, product demand acquisition device, further includes:
Information storage module, if meeting user's need for Product Requirement Analysis report and/or product demand confirmation formIt asks, then stores the product demand data dictionary and the product demand information.
Optionally, based on the above technical solution, product demand acquisition device, further includes:
Information adjusts module, if discontented for getting the Product Requirement Analysis report and/or product demand confirmation formSufficient user demand adjusts the product demand data dictionary then according to the user demand, and according to product demand adjustedData dictionary determines product demand information adjusted.
Product demand acquisition methods provided by any embodiment of the invention can be performed in above-mentioned apparatus, have execution method phaseThe functional module and beneficial effect answered.The not technical detail of detailed description in the present embodiment, reference can be made to the present invention is arbitrarily implementedThe method that example provides.
Example IV
Fig. 4 is a kind of structural schematic diagram for equipment that the embodiment of the present invention four provides.Fig. 4, which is shown, to be suitable for being used to realizing thisThe block diagram of the example devices 12 of invention embodiment.The equipment 12 that Fig. 4 is shown is only an example, should not be to of the invention realThe function and use scope for applying example bring any restrictions.
As shown in figure 4, equipment 12 is showed in the form of universal computing device.The component of equipment 12 may include but unlimitedIn one or more processor or processing unit 16, system storage 28, connecting different system components, (including system is depositedReservoir 28 and processing unit 16) bus 18.
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It liftsFor example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment 12The usable medium of access, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary accessMemory (RAM) 30 and/or cache memory 32.Equipment 12 may further include it is other it is removable/nonremovable,Volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing irremovable, non-volatile magnetic media (Fig. 4 do not show, commonly referred to as " hard disk drive ").Although not shown in fig 4, use can be providedIn the disc driver read and write to removable non-volatile magnetic disk (such as " floppy disk "), and to removable anonvolatile optical diskThe CD drive of (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver canTo be connected by one or more data media interfaces with bus 18.Memory 28 may include at least one program product,The program product has one group of (for example, at least one) program module, these program modules are configured to perform each implementation of the inventionThe function of example.
Program/utility 40 with one group of (at least one) program module 42 can store in such as memory 28In, such program module 42 include but is not limited to operating system, one or more application program, other program modules andIt may include the realization of network environment in program data, each of these examples or certain combination.Program module 42 is usualExecute the function and/or method in embodiment described in the invention.
Equipment 12 can also be communicated with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.),Can also be enabled a user to one or more equipment interacted with the equipment 12 communication, and/or with enable the equipment 12 withOne or more of the other any equipment (such as network interface card, modem etc.) communication for calculating equipment and being communicated.It is this logicalLetter can be carried out by input/output (I/O) interface 22.Also, equipment 12 can also by network adapter 20 and one orThe multiple networks of person (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.As shown,Network adapter 20 is communicated by bus 18 with other modules of equipment 12.It should be understood that although not shown in the drawings, can combineEquipment 12 use other hardware and/or software module, including but not limited to: microcode, device driver, redundant processing unit,External disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application andData processing, such as realize product demand acquisition methods provided by the embodiment of the present invention: the product demand sample that will acquireIt is converted into structuring demand data, and stores the structuring demand data；According to historical product demand, product demand number is constructedAccording to dictionary；Data processing is carried out according to the structuring demand data of the storage；It will treated structuring demand data and instituteIt states product demand data dictionary and carries out similarity comparison, determine product demand information.
Embodiment five
The embodiment of the present invention five additionally provides a kind of storage medium comprising computer executable instructions, is stored thereon with meterCalculation machine program realizes the product demand acquisition side provided such as all inventive embodiments of the application when the program is executed by processorMethod:
The product demand sample that will acquire is converted into structuring demand data, and stores the structuring demand data；
According to historical product demand, product demand data dictionary is constructed；
Data processing is carried out according to the structuring demand data of the storage；
Treated structuring demand data and product demand data dictionary progress similarity are compared, determine productDemand information.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable mediaCombination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readableStorage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device orDevice, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: toolThere are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storageMedium can be any tangible medium for including or store program, which can be commanded execution system, device or deviceUsing or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimitedIn electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer canAny computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used forBy the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimitedIn wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereofProgram code, described program design language include object oriented program language-such as Java, Smalltalk, C++,It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be withIt fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portionDivide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.InBe related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) orWide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet serviceIt is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art thatThe invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present inventionIt is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, alsoIt may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.