[summary of the invention]
The present invention provides generation method, device and the computer-readable mediums of a kind of work order based on message registration, use
In raising work order formation efficiency.
The present invention provides a kind of generation method of work order based on message registration, which comprises
According to the call text information of client and customer service, the essential information of the client is obtained;
The problem of generating model according to the call text information and list trained in advance, generate client list with
The answer list of the customer service;
According to the answer list of list and the customer service the problem of essential information of the client, the client, base is generated
In the work order of message registration.
Still optionally further, in method as described above, according to the call text information of client and customer service, the visitor is obtained
Before the essential information at family, the method also includes:
The voice communication for monitoring client and customer service records;
The voice communication is recorded and carries out speech recognition, obtains the call text information of client and customer service.
Still optionally further, in method as described above, according to the call text information of client and customer service, the visitor is obtained
The essential information at family, specifically includes:
The identification information of the client of preset format is obtained from the call text information;
The essential information of the client is obtained from user information database according to the identification information of the client.
Still optionally further, raw according to the call text information and list trained in advance in method as described above
At model, the problem of generating the client list and the customer service answer list, specifically include:
Extracted respectively from the call text information client the first call text information and the customer service the
Two call text informations;
The problem of generating model according to the first call text information and the list, map client list;
Model is generated according to the second call text information and the list, maps the answer list of the customer service.
Still optionally further, it in method as described above, is generated according to the first call text information and the list
Model, the problem of mapping the client list, specifically include:
Word segmentation processing is carried out to the first call text information, obtains several first participles;
According to several first participles and pre-set dictionary, it is corresponding to generate the first call text information
First participle feature representation;
The first participle feature representation is input to the list to generate in model, so that list generation model is defeated
The list the problem of client out;
Further, model is generated according to the second call text information and the list, maps the solution of the customer service
List is answered, is specifically included:
Word segmentation processing is carried out to the second call text information, obtains several second participles;
According to several second participles and the dictionary, it is second point corresponding to generate the second call text information
Word feature representation;
The second participle feature representation is input to the list to generate in model, so that list generation model is defeated
The answer list of the customer service out.
Still optionally further, raw according to the call text information and list trained in advance in method as described above
At model, the problem of generating the client list and the customer service answer list before, the method also includes:
Several training datas are acquired, include: the training call of trained client and training customer service in training data described in each item
The known answer list of text information, the known problem list of the trained client and the trained customer service;
According to training data described in each item, the training list generates model.
The present invention provides a kind of generating means of work order based on message registration, and described device includes:
Customer information obtains module and obtains the basic of the client for the call text information according to client and customer service
Information;
List generation module generates institute for generating model according to the call text information and list trained in advance
The answer list of the problem of stating client list and the customer service;
Work order generation module, for according to list the problem of essential information, the client of the client and the customer service
Answer list, generate the work order based on message registration.
Still optionally further, in device as described above, further includes:
Module is monitored, the voice communication for monitoring client and customer service records;
Speech recognition module carries out speech recognition for recording to the voice communication, obtains the described of client and customer service
Call text information.
Still optionally further, in device as described above, the customer information obtains module, is specifically used for:
The identification information of the client of preset format is obtained from the call text information;
The essential information of the client is obtained from user information database according to the identification information of the client.
Still optionally further, in device as described above, the list generation module, comprising:
Information extracting unit, for extracting the first call text envelope of the client respectively from the call text information
Second call text information of breath and the customer service;
Problem list map unit, for generating model, mapping according to the first call text information and the list
The problem of client list;
List map unit is answered, for generating model, mapping according to the second call text information and the list
The answer list of the customer service.
Still optionally further, in device as described above, described problem list map unit is specifically used for:
Word segmentation processing is carried out to the first call text information, obtains several first participles;
According to several first participles and pre-set dictionary, it is corresponding to generate the first call text information
First participle feature representation;
The first participle feature representation is input to the list to generate in model, so that list generation model is defeated
The list the problem of client out;
Further, the answer list map unit, is specifically used for:
Word segmentation processing is carried out to the second call text information, obtains several second participles;
According to several second participles and the dictionary, it is second point corresponding to generate the second call text information
Word feature representation;
The second participle feature representation is input to the list to generate in model, so that list generation model is defeated
The answer list of the customer service out.
Further, the answer list map unit, is specifically used for:
Word segmentation processing is carried out to the second call text information, obtains several second participles;
According to several second participles and the dictionary, it is second point corresponding to generate the second call text information
Word feature representation;
The second participle feature representation is input to the list to generate in model, so that list generation model is defeated
The answer list of the customer service out.
Still optionally further, in device as described above, further includes:
Acquisition module includes: trained client and training visitor for acquiring several training datas, in training data described in each item
Training call text information, the known problem list of the trained client and the known solution list of the trained customer service of clothes
It is single;
Training module, is used for the training data according to each item, and the training list generates model.
The present invention also provides a kind of computer equipment, the equipment includes:
One or more processors;
Memory, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the generation method of the work order based on message registration as described above.
The present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, which is held by processor
The generation method of the work order based on message registration as described above is realized when row.
Generation method, device and the computer-readable medium of work order based on message registration of the invention, by according to visitor
The call text information at family and customer service, obtains the essential information of client;It is raw according to call text information and list trained in advance
At model, the problem of generating client list and customer service answer list;According to list the problem of the essential information of client, client and
The answer list of customer service generates the work order based on message registration.Technical solution of the present invention can be automatically generated based on call note
The work order of record, with it is in the prior art manually fill in work order compared with, can be time saving, laborsaving, effectively improve the life of work order
At efficiency.
[specific embodiment]
To make the objectives, technical solutions, and advantages of the present invention clearer, right in the following with reference to the drawings and specific embodiments
The present invention is described in detail.
Fig. 1 is the flow chart of the generation method embodiment one of the work order of the invention based on message registration.As shown in Figure 1,
The generation method of the work order based on message registration of the present embodiment, can specifically include following steps:
100, according to the call text information of client and customer service, the essential information of client is obtained;
The executing subject of the generation method of the work order based on message registration of the present embodiment is the work order based on message registration
Generating means, should the generating means of work order based on message registration can be set in the customer service platform side of service provider, with
It can be based on message registration, help customer service to automatically generate work order, save contact staff and be manually generated work order.
In practical application, client can seek advice from business relevant with the service that oneself is enjoyed when seeking advice from customer service
Information, for example, the client of purchase financing can seek advice from the related problem of financing.It is relevant that the client of application loan can seek advice from loan
Problem.The problem of for the ease of improving customer service quality, client being accurately positioned, customer service can inquire the identification information of client, such as
ID card No., phone number or mailbox etc. are capable of the identification information of unique identification client.Then customer service can root
According to the identification information of client, the product of user purchase is obtained from the user information database of service provider, convenient for visitor
The problem of family, is positioned, the problem of client is more clearly understood, to provide more accurately answer for user.It is based on
The above, it is known that the identification information of client is generally included in the call text information of client and customer service, it is practical
In, it can be recorded in work order directly using the identification information of the client as the essential information of the client.
In addition, the identification information due to client can be ID card No., phone number or mailbox, all have one
Fixed format, if ID card No. and phone number are respectively provided with preset length, mailbox has preset special format, according to
The particularity of identification information can be easy to get the identification information of client from call text information.For example,
In the present embodiment, according to the call text information of client and customer service, the essential information of client is obtained, can specifically include: from logical
The identification information that client is obtained in text information is talked about, using the identification information of client as the essential information of the client.
Or the essential information of the client in work order may include information more abundant.At this time according to client and customer service
Call text information, obtains the essential information of client, can specifically include: the visitor of preset format is obtained from call text information
The identification information at family;The essential information of client is obtained from user information database according to the identification information of client.Here
User information database be specially the user information database of service provider, wherein can recorde all clients of the service provider
All information, certainly also include client identification information.Such as the name of client, ID card No., mailbox, purchase
Service product etc. essential information.
101, the problem of model being generated according to call text information and list trained in advance, generating client list and customer service
Answer list;
In the present embodiment, trained list generates model in advance, and neural network model can be used for prototype, pass through depth
Responsibility of strategy training obtains.In this way, generating model using the list after training, visitor can be obtained to call text information identification
The problem of family declaration form and customer service answer list.
102, it according to the answer list of list the problem of the essential information of client, client and customer service, generates based on call note
The work order of record.
For example, the answer list of the problem of essential information for the client that will acquire, client list and customer service, inputs together
Into trouble ticket template, corresponding position is inserted, the work order based on message registration can be automatically generated.
The generation method of the work order based on message registration of the present embodiment passes through the call text envelope according to client and customer service
Breath, obtains the essential information of client;The problem of generating model according to call text information and list trained in advance, generate client
The answer list of list and customer service;According to the answer list of list the problem of the essential information of client, client and customer service, base is generated
In the work order of message registration.The technical solution of the present embodiment can automatically generate the work order based on message registration, with the prior art
In work order of manually filling in compare, can be time saving, laborsaving, effectively improve the formation efficiency of work order.
In addition, in the prior art, contact staff not only needs the problem of listening to client in the call with client, for visitor
Family provides solution, while also needing hand filling work order, can also have record information and lose, cause not record visitor completely
The problem of family, and the technical solution of the present embodiment is used, it can guarantee the integrality and accuracy of the work order generated.
Moreover, in the prior art, contact staff not only needs the problem of listening to client in the call with client, for visitor
Family provides solution, while also needing hand filling work order, in this way, will lead to contact staff can not focus on understanding and
Customer issue is handled, the service level of customer service is caused to decline.And the technical solution of the present embodiment, work order can be automatically generated, it can
The problem of client can be listened to absorbedly with client personnel, and be absorbed in and provide solution for client, without use science and engineering list
It writes, so as to effectively improve the service ability of customer service, enhances the Experience Degree of client.
Fig. 2 is the flow chart of the generation method embodiment two of the work order of the invention based on message registration.The present embodiment
The generation method of work order based on message registration, on the basis of the technical solution of above-mentioned embodiment illustrated in fig. 1, further more
Technical solution of the present invention is introduced in detail.As shown in Fig. 2, the generation method of the work order based on message registration of the present embodiment,
It can specifically include following steps:
200, the voice communication for monitoring client and customer service records;
The customer service platform side of service provider is arranged in the generating means of the work order based on message registration of the present embodiment, can
To listen to the voice communication record of each client and customer service.
201, voice communication is recorded and carries out speech recognition, obtain the call text information of client and customer service;
In the present embodiment, the generating means of the work order based on message registration, which can record voice communication, carries out voice voice
Voice communication record is converted to call text information by identification.
202, the identification information of the client of preset format is obtained from call text information;
203, the essential information of client is obtained from user information database according to the identification information of client;
Similarly, the identification information of the client of the present embodiment can for the ID card No. of client, phone number or
Mailbox, step 202 specifically can be with reference to the related records of above-mentioned embodiment illustrated in fig. 1 to 203 implementation, and details are not described herein.
204, the first call text information of client and the second call text of customer service are extracted respectively from call text information
This information;
Specifically, the voice of different people has different sound characteristics, in the present embodiment, can remember to voice communication
When record carries out speech recognition, different labels is done when to the speech recognition of the people of alternative sounds feature, i.e., by client and visitor
The call text information of clothes is distinguished using different labels.In this way, visitor can be extracted from all call text informations
The first call text information at family and the second call text information of customer service.
205, the problem of generating model according to the first call text information and list trained in advance, map client list;
Such as the step 205, it can specifically include following steps:
(a1) word segmentation processing is carried out to the first call text information, obtains several first participles;
(b1) according to several first participles and pre-set dictionary, the first call text information corresponding first is generated
Segment feature representation;
(c1) first participle feature representation is input to list to generate in model, so that list generates model output client's
Problem list.
In the present embodiment, word segmentation processing can be carried out to the first call text information of client, can specifically used existing
Participle strategy to first call text information segment.Dictionary can also be previously provided in the present embodiment, in the dictionary
It may include all words for the enquirement and answer aspect for covering all products of the service provider, can guarantee visitor in this way
Word in the enquirement at family can hit some word in the dictionary.So the quantity for the word for including in the dictionary is sure to
It is enough more.
Then, the numerous word in dictionary is arranged in sequence, and establishes a size equal to word number in dictionary
The feature vector of amount, each position corresponds to a word in dictionary in feature vector.Then the first call text is successively analyzed
Whether each first participle that information segments hits certain word in dictionary, if hit, by feature vector with first point
The element of word corresponding position is set as 1, and otherwise the element of the position is 0, obtains first participle feature representation.Or further also
First participle feature representation can be normalized, be then input to list and generate in model, so that list generates model output
The problem of client list.Since each first participle in the first call text information can characterize the enquirement of client, it is based on
The first call text information generates model according to trained list, the problem of client can be mapped out list.
It further optionally, can also be according to the appearance of each first participle when being normalized to first participle feature representation
Frequency normalizes feature vector, occurs so that the numerical value of the corresponding element in position of the high first participle of the frequency of occurrences is greater than
The numerical value of the corresponding element in position of the low first participle of frequency.
206, model is generated according to the second call text information and list trained in advance, maps the answer list of customer service;
Such as the step 206, it can specifically include following steps:
(a2) word segmentation processing is carried out to the second call text information, obtains several second participles;
(b2) according to several second participles and dictionary, the corresponding second participle mark sheet of the second call text information is generated
It reaches;
(c2) the second participle feature representation is input to list to generate in model, so that list generates model output customer service
Answer list.
With reference to above-mentioned steps (a1)-(c1) implementation principle, step (a2)-(c2) specific implementation process may be implemented,
Referring in detail to the record of above-mentioned related embodiment, details are not described herein.
207, it according to the answer list of list the problem of the essential information of client, client and customer service, generates based on call note
The work order of record.
Finally by the answer list of list and customer service the problem of the essential information of the above-mentioned client got, client, together
It is input in trouble ticket template, inserts corresponding position, the work order based on message registration can be automatically generated.
The generation method of the work order based on message registration of the present embodiment can be automatic by using above-mentioned technical proposal
Generate the work order based on message registration, with it is in the prior art manually fill in work order compared with, can be time saving, laborsaving, effectively
The formation efficiency of ground raising work order.
It should be noted that the step 205 of the embodiment described in the step 101 and Fig. 2 of above-mentioned embodiment illustrated in fig. 1 it
Before, can also specifically it include the following steps:
(a3) several training datas are acquired, include: the training call of trained client and training customer service in each training data
The known answer list of text information, the known problem list of training client and training customer service;
(b3) according to each training data, training list generates model.
For example, the item number of the training data acquired in the present embodiment can achieve 15,600,000 or more, the training number of acquisition
According to item number it is more, the problem of trained list generates model mapping client list and customer service answer list it is more accurate.
Before training, a list is first selected to generate the prototype of model, and generate each parameter in model to the list and assign
Give initial value.It is available to arrive for the training call text information of training client and training customer service in every training data
The training call text information of training client and the training call text information of training customer service.And according to the instruction of each training data
The training call text information and pre-set dictionary for practicing client, obtain the participle feature representation of each trained client, Yi Jigen
According to the training call text information and pre-set dictionary of the training customer service of each training data, point of each trained customer service is obtained
Word feature representation can segment feature representation with reference to the first participle feature representation and second in above-described embodiment respectively in detail
Acquisition modes.
Then the participle feature representation of the training client of each training data is input to list and generates model, it is corresponding at this time
List generates the problem of training client of model output prediction list.The problem of detecting the training client of prediction list and the instruction
The known problem list for practicing client compares, if list is asked with the known of the training client the problem of training client of prediction
Topic list is inconsistent, and adjustment list generates the parameter of model, so that list is intended to the instruction the problem of training client of prediction
Practice the known problem list of client.It then proceedes to train, the participle feature representation of the training customer service of the training data is input to
List generates model, and corresponding list generates the answer list of the training customer service of model output prediction at this time.Detection prediction is somebody's turn to do
The answer list of training customer service is compared with the known solution list of the training customer service is single-phase, if the answer of the training customer service of prediction
List and the known answer list of the training customer service are inconsistent, continue to adjust the parameter that list generates model, so that prediction is somebody's turn to do
The answer list of training customer service is intended to the known answer list of the training customer service.It is all used for each training data above-mentioned
Mode is trained, adjustment list generate model parameter, until list generate model output prediction the problem of list with
The problem of knowing list is consistent, the answer list of the prediction of output and the single cause of known solution list, determines that list generates mould at this time
The parameter of type, so that it is determined that list generates model.
Further optionally, list and the answer list of customer service use together the problem of the client of training in the above embodiments
One list generates model to realize.In practical application, two lists can also be trained to generate by the way of above-described embodiment
Model, such as the list of problem list generate model and answer the list generation model of list.Such as when training, training is used only
The training call text information of client, the list of training problem list generate model.Using only the training call text of training customer service
The list of this information, training answer list generates model.Then respectively using the call text information and problem list of client
The problem of list generates model, maps client list generates mould using the call text information of customer service and the list of answer list
Type maps the answer list of customer service, can refer to the record of above-described embodiment in detail, details are not described herein.
Fig. 3 is the structure chart of the generating means embodiment one of the work order of the invention based on message registration.As shown in figure 3,
The generating means of the work order based on message registration of the present embodiment, can specifically include:
Customer information obtains module 10 according to the call text information of client and customer service, obtains the essential information of client;
The problem of list generation module 11 generates model according to call text information and list trained in advance, generates client
The answer list of list and customer service;
Work order generation module 12 obtains the essential information for the client that module 10 obtains, list generation module according to customer information
11 generate client the problem of list and customer service answer list, generate the work order based on message registration.
The generating means of the work order based on message registration of the present embodiment are realized by using above-mentioned module based on call note
The realization principle and technical effect of the generation of the work order of record are identical as the realization of above-mentioned related method embodiment, can join in detail
It is admitted to the record for stating related method embodiment, details are not described herein.
Fig. 4 is the structure chart of the generating means embodiment two of the work order of the invention based on message registration.As shown in figure 4,
The generating means of the work order based on message registration of the present embodiment on the basis of the technical solution of above-mentioned embodiment illustrated in fig. 3 into
One step introduces technical solution of the present invention in further detail.
As shown in figure 4, the generating means of the work order based on message registration of the present embodiment, further includes:
Monitor the voice communication record that module 13 is used to monitor client and customer service;
Speech recognition module 14, which is used to record voice communication, carries out speech recognition, obtains the call text of client and customer service
Information.
Accordingly, customer information obtains the call that module 10 identifies obtained client and customer service according to speech recognition module 14
Text information obtains the essential information of client;
List generation module 11 identifies obtained call text information and table trained in advance according to speech recognition module 14
The answer list of the problem of list generates model, generates client list and customer service;
Still optionally further, in the generating means of the work order based on message registration of the present embodiment, customer information obtains mould
Block 10 is specifically used for:
The identification information of the client of preset format is obtained from call text information;
The essential information of client is obtained from user information database according to the identification information of client.
Still optionally further, as shown in figure 4, in the generating means of the work order based on message registration of the present embodiment, list
Generation module 11 includes:
Information extracting unit 111 is used to identify from speech recognition module 14 extracts visitor respectively in obtained call text information
The first call text information at family and the second call text information of customer service;
The the first call text information and table that problem list map unit 112 is used to be extracted according to information extracting unit 111
The problem of list generates model, maps client list;
The the second call text information and table that answer list map unit 113 is used to be extracted according to information extracting unit 111
It is single to generate model, map the answer list of customer service.
Still optionally further, in the generating means of the work order based on message registration of the present embodiment, the mapping of problem list is single
Member 112 is specifically used for:
Word segmentation processing is carried out to the first call text information that information extracting unit 111 extracts, obtains several first participles;
According to several first participles and pre-set dictionary, the corresponding first participle of the first call text information is generated
Feature representation;
First participle feature representation is input to list to generate in model, so that the problem of list generates model output client
List;
Further, answer list map unit 113 is specifically used for:
Word segmentation processing is carried out to the second call text information that information extracting unit 111 extracts, obtains several second participles;
According to several second participles and dictionary, the corresponding second participle feature representation of the second call text information is generated;
Second participle feature representation is input to list to generate in model, so that list generates the answer of model output customer service
List.
Still optionally further, as shown in figure 4, also being wrapped in the generating means of the work order based on message registration of the present embodiment
It includes:
Acquisition module 15 includes: trained client and training customer service in each training data for acquiring several training datas
Training call text information, training client known problem list and training customer service known answer list;
Training module 16 is used for each training data acquired according to acquisition module 15, and training list generates model.
Accordingly, the first call text envelope that problem list map unit 112 is used to be extracted according to information extracting unit 111
The problem of breath and the list of the training of training module 16 generate model, map client list;
The the second call text information and instruction that answer list map unit 113 is used to be extracted according to information extracting unit 111
The list for practicing the training of module 16 generates model, maps the answer list of customer service.
The generating means of the work order based on message registration of the present embodiment are realized by using above-mentioned module based on call note
The realization principle and technical effect of the generation of the work order of record are identical as the realization of above-mentioned related method embodiment, can join in detail
It is admitted to the record for stating related method embodiment, details are not described herein.
Fig. 5 is the structure chart of computer equipment embodiment of the invention.As shown in figure 5, the computer equipment of the present embodiment,
It include: one or more processors 30 and memory 40, memory 40 works as memory for storing one or more programs
The one or more programs stored in 40 are executed by one or more processors 30, so that one or more processors 30 are realized such as
The generation method of work order of the figure 1 above-embodiment illustrated in fig. 2 based on message registration.To include multiple places in embodiment illustrated in fig. 5
For reason device 30.
For example, Fig. 6 is a kind of exemplary diagram of computer equipment provided by the invention.Fig. 6, which is shown, to be suitable for being used to realizing this
The block diagram of the exemplary computer device 12a of invention embodiment.The computer equipment 12a that Fig. 6 is shown is only an example,
Should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in fig. 6, computer equipment 12a is showed in the form of universal computing device.The component of computer equipment 12a can
To include but is not limited to: one or more processor 16a, system storage 28a connect different system components (including system
Memory 28a and processor 16a) bus 18a.
Bus 18a 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 lifts
For 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.
Computer equipment 12a typically comprises a variety of computer system readable media.These media can be it is any can
The usable medium accessed by computer equipment 12a, including volatile and non-volatile media, moveable and immovable Jie
Matter.
System storage 28a may include the computer system readable media of form of volatile memory, such as deposit at random
Access to memory (RAM) 30a and/or cache memory 32a.Computer equipment 12a may further include it is other it is removable/
Immovable, volatile/non-volatile computer system storage medium.Only as an example, storage system 34a can be used for reading
Write immovable, non-volatile magnetic media (Fig. 6 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 6,
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided, and non-easy to moving
The CD drive that the property lost CD (such as CD-ROM, DVD-ROM or other optical mediums) is read and write.In these cases, each
Driver can be connected by one or more data media interfaces with bus 18a.System storage 28a may include at least
One program product, the program product have one group of (for example, at least one) program module, these program modules are configured to hold
The function of the above-mentioned each embodiment of Fig. 1-Fig. 4 of the row present invention.
Program with one group of (at least one) program module 42a/utility 40a, can store and deposit in such as system
In reservoir 28a, such program module 42a include --- but being not limited to --- operating system, one or more application program,
It may include the reality of network environment in other program modules and program data, each of these examples or certain combination
It is existing.Program module 42a usually executes the function and/or method in above-mentioned each embodiment of Fig. 1-Fig. 4 described in the invention.
Computer equipment 12a can also be with one or more external equipment 14a (such as keyboard, sensing equipment, display
24a etc.) communication, the equipment interacted with computer equipment 12a communication can be also enabled a user to one or more, and/or
(such as network interface card is adjusted with any equipment for enabling computer equipment 12a to be communicated with one or more of the other calculating equipment
Modulator-demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 22a.Also, computer equipment
12a can also by network adapter 20a and one or more network (such as local area network (LAN), wide area network (WAN) and/or
Public network, such as internet) communication.As shown, network adapter 20a passes through its of bus 18a and computer equipment 12a
The communication of its module.It should be understood that although not shown in the drawings, other hardware and/or software can be used in conjunction with computer equipment 12a
Module, including but not limited to: microcode, device driver, redundant processor, external disk drive array, RAID system, tape
Driver and data backup storage system etc..
Processor 16a by the program that is stored in system storage 28a of operation, thereby executing various function application and
Data processing, such as realize the generation method of the work order based on message registration shown in above-described embodiment.
The present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, which is held by processor
The generation method of the work order as shown in above-described embodiment based on message registration is realized when row.
The computer-readable medium of the present embodiment may include in the system storage 28a in above-mentioned embodiment illustrated in fig. 6
RAM30a, and/or cache memory 32a, and/or storage system 34a.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, it can also be directly from net
Network downloading, or obtained using other modes.Therefore, the computer-readable medium in the present embodiment not only may include tangible
Medium can also include invisible medium.
The computer-readable medium of the present embodiment can be using any combination of one or more computer-readable media.
Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer-readable storage medium
Matter for example may be-but not limited to-system, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or
Any above combination of person.The more specific example (non exhaustive list) of computer readable storage medium includes: with one
Or the electrical connections of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory (ROM),
Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light
Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer readable storage medium can
With to be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
Person 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
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by 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 unlimited
In --- 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 thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. it is various
It can store the medium of program code.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.