CN115904531B - Service component adjusting method applied to service system - Google Patents
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Abstract
The present disclosure relates to the field of service management technologies, and in particular, to a service component adjustment method applied to a service system. The method specifically comprises the following steps: generating a primary service component library according to the working parameters of the service components; acquiring historical service data and user demand data of a user, selecting service components in a primary service component library according to the historical service data and the user demand data, and generating a service system; presetting an adjustment time node, and adjusting service components in a service system according to service operation data between the last adjustment time node and the current adjustment time node. The business application functions based on the PC and various mobile terminals are provided, and the business application functions can cover various user requirements required by daily office business, such as specific functions of official documents, conferences, schedule management, notification notices and the like. Different business functions can be constructed in a component mode, and flexible expansion can be performed. Various business piece services can be quickly adjusted, and user requirements are met.
Description
Technical Field
The present disclosure relates to the field of service management technologies, and in particular, to a service component adjustment method applied to a service system.
Background
Business components are basic, unique and non-repeatable building blocks in an enterprise, represent a series of business activities, and are functional modules that build specialized enterprises. The business components of the enterprise are managed, the existing business capability can be effectively evaluated, and an informationized decision maker or constructor is allowed to observe the business on a plurality of different layers to make reasonable plans and decisions, so that innovation and improvement opportunities are identified.
With the continuous development of network application technology and the higher demands of users on network applications, a series of operations such as quick release, quick deployment, zero service influence and the like of new service components are also required to be higher and higher. However, the service components at the present stage cannot be flexibly expanded, and the service system cannot be timely adjusted according to the change of enterprise service, so that the working efficiency of the service system is reduced, and the service components cannot meet the service requirements.
Disclosure of Invention
The purpose of the present application is: in order to solve the technical problems, the application provides a business component adjusting method applied to a business system, so as to improve the overall working efficiency of the business system.
In some embodiments of the present application, a primary service component library is added to provide service application functions based on a PC and various mobile terminals, so as to cover specific functions such as documents, conferences, schedule management, notification notices, and the like, which are required by daily office services. Different business functions can be constructed in a component mode, and flexible expansion can be performed. Various business piece services can be quickly adjusted, and user requirements are met.
In some embodiments of the present application, a service component adjustment method applied to a service system is provided, including:
step one: generating a primary service component library according to the working parameters of the service components;
step two: acquiring historical service data and user demand data of a user, selecting service components in the primary service component library according to the historical service data and the user demand data, and generating a service system;
step three: presetting an adjustment time node, and adjusting a service component in the service system according to service operation data between the last adjustment time node and the current adjustment time node;
wherein, the first-level business component library comprises:
a basic component library, a document service component library, a general service component library and a security component library.
In some embodiments of the present application, the generating a service system includes:
selecting all business components in a basic component library;
selecting business components in the document business component library, the general business component library and the security component library according to the user demand data to generate a primary selection result;
and setting the grade of the business component in the primary selection result according to the user history business data.
In some embodiments of the present application, when generating the service system, the method further includes:
and acquiring the calling times a of the service components between the last time adjustment node and the current time adjustment node, and adjusting the real-time service component grade b according to the calling times a of the service components.
In some embodiments of the present application, when generating the service system, the method further includes:
presetting a service component calling number matrix A, and setting A (A1, A2, A3 and A4), wherein A1 is preset first service component calling number, A2 is preset second service component calling number, A3 is preset third service component calling number, A4 is preset fourth service component calling number, and A1< A2< A3< A4;
presetting a service component grade matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a preset first service component grade, B2 is a preset second service component grade, B3 is a preset third service component grade, and B4 is a preset fourth service component grade;
when a < A1, the business component is pinned;
when A1< A2, setting the real-time service component level B to be a preset first service component level B1, i.e., b=b1;
when A2< A3, setting the real-time service component level B to be a preset second service component level B2, i.e., b=b2;
when A3< A4, setting the real-time service component level B to be a preset third service component level B3, i.e., b=b3;
when a > A4, the real-time service component level B is set to a preset fourth service component level B4, i.e., b=b4.
In some embodiments of the present application, when adjusting a service component in the service system, the method further includes:
acquiring user prediction demand data and unresponsive service data according to a preset adjustment time node, and adding a service component according to the user prediction demand data and unresponsive service data;
the added service component level is a preset first service component level B1.
In some embodiments of the present application, when adjusting a service component in the service system, the method further includes:
and acquiring the real-time service component grade b, and setting the server network resource duty ratio according to the real-time service component grade b.
In some embodiments of the present application, when the time node is preset to be adjusted, the method includes:
and generating historical response times of the service system at unit time intervals according to the user historical service data, and setting an adjustment time interval according to the historical response times of the service system at unit time intervals.
In some embodiments of the present application, the setting the adjustment time interval includes:
presetting an adjustment time interval matrix T, and setting T (T1, T2, T3 and T4), wherein T1 is a preset first adjustment time interval, T2 is a preset second adjustment time interval, T3 is a preset third adjustment time interval, T4 is a preset fourth adjustment time interval, and T1< T2< T3< T4;
presetting a service system response time matrix C, and setting C (C1, C2, C3 and C4), wherein C1 is preset first service system response time, C2 is preset second service system response time, C3 is preset third service system response time, C4 is preset fourth service system response time, and C1< C2< C3< C4;
acquiring the historical response times c of the service system at the unit time interval;
when C1< C2, setting the adjustment time interval T to be a preset first adjustment time interval T1, i.e., t=t1;
when C2< C3, setting the adjustment time interval T to be a preset second adjustment time interval T2, i.e., t=t2;
when C3< C4, setting the adjustment time interval T to be a preset third adjustment time interval T3, i.e., t=t3;
when C > C4, the adjustment time interval T is set to be the preset first adjustment time interval T1, i.e., t=t4.
In some embodiments of the present application, when the time node is preset to be adjusted, the method further includes:
acquiring service system response times c1 between a previous adjustment time node and a current adjustment time node;
generating a difference result between c1 and c;
when c1> c, correcting the time interval between the current time adjustment time node and the next adjustment time;
when c1 is less than or equal to c, no correction is made.
In some embodiments of the present application, when correcting the time interval between the current time adjustment time node and the next adjustment time, the method includes:
presetting a time interval adjustment coefficient matrix N, setting N (N1, N2, N3, N4), wherein N1 is a preset first time interval correction coefficient, N2 is a preset second time interval correction coefficient, N3 is a preset third time interval correction system, N4 is a preset fourth time interval correction coefficient, and 0.7< N1< N2< N3< N4<1;
presetting a difference matrix D, and setting D (D1, D2, D3 and D4), wherein D1 is a preset first difference, D2 is a preset second difference, D3 is a preset third difference, D4 is a preset fourth difference, and D1< D2< D3< D4;
acquiring the time interval between the last adjustment time node and the current adjustment time node;
acquiring a real-time difference result d;
when D1< D2, setting the correction coefficient n as a preset first time interval correction coefficient n1, and the corrected time interval t=n1×ti;
when D2< D3, setting the correction coefficient n as a preset second time interval correction coefficient n2, and the corrected time interval t=n2×ti;
when D3< D4, setting the correction coefficient n as a preset third time interval correction coefficient n3, and the corrected time interval t=n3×ti;
when D > D4, setting the correction coefficient n as a preset fourth time interval correction coefficient n4, and correcting the time interval t=n4×ti.
Compared with the prior art, the service component adjusting method applied to the service system has the beneficial effects that:
the business application functions based on the PC and various mobile terminals are provided, and the business application functions can cover various user requirements required by daily office business, such as specific functions of official documents, conferences, schedule management, notification notices and the like. Different business functions can be constructed in a component mode, and flexible expansion can be performed. Various business piece services can be quickly adjusted, and user requirements are met.
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Fig. 1 is a flow chart of a business component adjusting method applied to a business system in a preferred embodiment of the present application;
fig. 2 is a schematic diagram of a primary service component library in a service component adjustment method applied to a service system according to a preferred embodiment of the present application.
Detailed Description
The detailed description of the present application is further described in detail below with reference to the drawings and examples. The following examples are illustrative of the present application, but are not intended to limit the scope of the present application.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
As shown in fig. 1 and fig. 2, a service component adjustment method applied to a service system according to a preferred embodiment of the present application includes:
step one: generating a primary service component library according to the working parameters of the service components;
step two: acquiring historical service data and user demand data of a user, selecting service components in a primary service component library according to the historical service data and the user demand data, and generating a service system;
step three: presetting an adjustment time node, and adjusting a service component in a service system according to service operation data between a last adjustment time node and a current adjustment time node;
the primary service component library comprises:
a basic component library, a document service component library, a general service component library and a security component library.
Specifically, the base component library includes: the front end frame component comprises front end interfaces such as a Bootstrap frame, an H5 mobile page frame, a CSS style library, a public JS library and the like;
the service generating component involves various designer and functional components necessary for service generation. Such as a module editor, form designer, view designer, report designer, etc.;
the workflow engine relates to components related to approval flows in business generation, such as a graphical work flow designer, flow modeling, flow instance management and the like;
the template engine is responsible for background text processing of a server, preprocessing of Web page data (background rendering) and the like;
the message engine is responsible for unified design and management of internal messages (such as logic state generation and monitoring and journaling) of the system and user messages (such as IM, mail, notification and reminding, etc.);
search engines are classified into full text search engines and field search engines. The full-text search engine is formed by adding specific authority control for office business based on Apache Lucene. The field search engine provides relevant logic for querying, summarizing and presenting based on the relational data table.
Specifically, the secure component library includes:
and the authority engine meets RBAC specifications and provides a unified authority model and authority management for all resources (such as menus, views, data items, operations and the like) in the system.
Specifically, the generic service component library includes:
menu navigation, form management, data management, view management, flow management, report management, timed tasks, multilingual management, organizational user management, application module management, log management, interface management.
In a preferred embodiment of the present application, the generating a service system includes:
selecting all business components in a basic component library;
selecting business components in a document business component library, a general business component library and a security component library according to user demand data, and generating a primary selection result;
and setting the grade of the business component in the primary selection result according to the historical business data of the user.
When generating the service system, the method further comprises:
and acquiring the service component calling times a between the last time adjustment node and the current time adjustment node, and adjusting the real-time service component grade b according to the service component calling times a.
Specifically, a service component calling number matrix A is preset, A (A1, A2, A3 and A4) is set, wherein A1 is preset first service component calling number, A2 is preset second service component calling number, A3 is preset third service component calling number, A4 is preset fourth service component calling number, and A1< A2< A3< A4;
presetting a service component grade matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a preset first service component grade, B2 is a preset second service component grade, B3 is a preset third service component grade, and B4 is a preset fourth service component grade;
when a < A1, the business component is pinned;
when A1< A2, setting the real-time service component level B to be a preset first service component level B1, i.e., b=b1;
when A2< A3, setting the real-time service component level B to be a preset second service component level B2, i.e., b=b2;
when A3< A4, setting the real-time service component level B to be a preset third service component level B3, i.e., b=b3;
when a > A4, the real-time service component level B is set to a preset fourth service component level B4, i.e., b=b4.
Acquiring user prediction demand data and unresponsive service data according to a preset adjustment time node, and adding a service component according to the user prediction demand data and unresponsive service data;
the added service component level is a preset first service component level B1.
Specifically, the real-time service component level B is obtained, the server network resource ratio and the server resource allocation proportion thereof are set according to the real-time service component level B, and when the service component level is higher, the resource allocation ratio is higher, and the response time in the service processing process is shorter.
Specifically, a service component calling frequency matrix is generated according to historical data, when a < A1, the service component utilization rate is extremely low, the service component is removed in time, and the simplification and the working efficiency of a service system are ensured.
Specifically, when the service component level is adjusted, HTTP request parameters transmitted to a WEB server are analyzed and assembled, service component ID and method in URL are analyzed, corresponding service components are taken out from a component library, and the parameters are transmitted to corresponding service methods to carry out call proxy of the methods.
The service component can quickly call the background service through the Groovy and has the function of decoupling the relation between the foreground interface and the background business logic component. The foreground interface is changed, and the business logic interface can be kept unchanged through data conversion in the scripting language.
It can be understood that in the above embodiment, by presetting the service component calling number matrix and the preset service component class matrix, the service components in the service system are dynamically adjusted, so that various public component services can be quickly called, and the user needs are realized. The working efficiency of the service system is ensured. Meanwhile, the service component grades are set according to the service volume, so that the service component grades are matched with each other, resource waste is avoided, and therefore management cost is reduced.
In a preferred embodiment of the present application, when the adjustment time node is preset, the method includes:
and generating historical response times of the service system in unit time intervals according to the historical service data of the user, and setting and adjusting time intervals according to the historical response times of the service system in unit time intervals.
Specifically, a preset adjustment time interval matrix T is set, T (T1, T2, T3, T4) is set, wherein T1 is a preset first adjustment time interval, T2 is a preset second adjustment time interval, T3 is a preset third adjustment time interval, T4 is a preset fourth adjustment time interval, and T1< T2< T3< T4;
presetting a service system response time matrix C, and setting C (C1, C2, C3 and C4), wherein C1 is preset first service system response time, C2 is preset second service system response time, C3 is preset third service system response time, C4 is preset fourth service system response time, and C1< C2< C3< C4;
acquiring historical response times c of a unit time interval service system;
when C1< C2, setting the adjustment time interval T to be a preset first adjustment time interval T1, i.e., t=t1;
when C2< C3, setting the adjustment time interval T to be a preset second adjustment time interval T2, i.e., t=t2;
when C3< C4, setting the adjustment time interval T to be a preset third adjustment time interval T3, i.e., t=t3;
when C > C4, the adjustment time interval T is set to be the preset first adjustment time interval T1, i.e., t=t4.
Specifically, when the adjustment time node is preset, the method further comprises:
acquiring service system response times c1 between a previous adjustment time node and a current adjustment time node;
generating a difference result between c1 and c;
when c1> c, correcting the time interval between the current time adjustment time node and the next adjustment time;
when c1 is less than or equal to c, no correction is made.
Specifically, when correcting the time interval between the current time adjustment time node and the next adjustment time, the method includes:
presetting a time interval adjustment coefficient matrix N, setting N (N1, N2, N3, N4), wherein N1 is a preset first time interval correction coefficient, N2 is a preset second time interval correction coefficient, N3 is a preset third time interval correction system, N4 is a preset fourth time interval correction coefficient, and 0.7< N1< N2< N3< N4<1;
presetting a difference matrix D, and setting D (D1, D2, D3 and D4), wherein D1 is a preset first difference, D2 is a preset second difference, D3 is a preset third difference, D4 is a preset fourth difference, and D1< D2< D3< D4;
acquiring the time interval between the last adjustment time node and the current adjustment time node;
acquiring a real-time difference result d;
when D1< D2, setting the correction coefficient n as a preset first time interval correction coefficient n1, and the corrected time interval t=n1×ti;
when D2< D3, setting the correction coefficient n as a preset second time interval correction coefficient n2, and the corrected time interval t=n2×ti;
when D3< D4, setting the correction coefficient n as a preset third time interval correction coefficient n3, and the corrected time interval t=n3×ti;
when D > D4, setting the correction coefficient n as a preset fourth time interval correction coefficient n4, and correcting the time interval t=n4×ti.
It can be understood that in the above embodiment, by adding the adjustment time interval matrix and dynamically adjusting the time interval according to the historical response times of the service system in the unit time, the change trend of the service volume of the user can be timely perceived, the service component can be more timely adjusted, and the whole service system is ensured not to have the reduction of the working efficiency due to the service change.
According to the first conception of the application, by adding the primary service component library, the service application functions based on the PC and various mobile terminals are provided, and the specific functions of documents, conferences, schedule management, notification notices and the like required by daily office services are covered. Different business functions can be constructed in a component mode, services are provided for the outside, and flexible expansion can be performed. Various business piece services can be quickly adjusted, and user requirements are met.
The foregoing is merely a preferred embodiment of the present application, and it should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present application, and these modifications and substitutions should also be considered as being within the scope of the present application.
Claims (7)
1. A business component adjustment method applied to a business system, comprising:
step one: generating a primary service component library according to the working parameters of the service components;
step two: acquiring historical service data and user demand data of a user, selecting service components in the primary service component library according to the historical service data and the user demand data, and generating a service system;
step three: presetting an adjustment time node, and adjusting a service component in the service system according to service operation data between the last adjustment time node and the current adjustment time node;
wherein, the first-level business component library comprises:
a basic component library, a document service component library, a general service component library and a security component library;
the generating the service system comprises the following steps:
selecting all business components in a basic component library;
selecting business components in the document business component library, the general business component library and the security component library according to the user demand data to generate a primary selection result;
setting the grade of the service component in the primary selection result according to the user history service data;
when the service system is generated, the method further comprises the following steps:
acquiring the calling times a of service components between a previous time adjustment node and a current time adjustment node, and adjusting the grade b of the real-time service components according to the calling times a of the service components;
when the service system is generated, the method further comprises the following steps:
presetting a service component calling number matrix A, and setting A (A1, A2, A3 and A4), wherein A1 is preset first service component calling number, A2 is preset second service component calling number, A3 is preset third service component calling number, A4 is preset fourth service component calling number, and A1< A2< A3< A4;
presetting a service component grade matrix B, and setting B (B1, B2, B3 and B4), wherein B1 is a preset first service component grade, B2 is a preset second service component grade, B3 is a preset third service component grade, and B4 is a preset fourth service component grade;
when a < A1, the business component is pinned;
when A1< A2, setting the real-time service component level B to be a preset first service component level B1, i.e., b=b1;
when A2< A3, setting the real-time service component level B to be a preset second service component level B2, i.e., b=b2;
when A3< A4, setting the real-time service component level B to be a preset third service component level B3, i.e., b=b3;
when a > A4, the real-time service component level B is set to a preset fourth service component level B4, i.e., b=b4.
2. The business component adjustment method applied to a business system according to claim 1, wherein when adjusting a business component in the business system, further comprising:
acquiring user prediction demand data and unresponsive service data according to a preset adjustment time node, and adding a service component according to the user prediction demand data and unresponsive service data;
the added service component level is a preset first service component level B1.
3. The service component adjustment method applied to a service system according to claim 2, wherein when adjusting a service component in the service system, further comprising:
and acquiring the real-time service component grade b, and setting the server network resource duty ratio according to the real-time service component grade b.
4. The service component adjusting method applied to a service system according to claim 1, wherein when the preset adjusting time node is set, the method comprises:
and generating historical response times of the service system at unit time intervals according to the user historical service data, and setting an adjustment time interval according to the historical response times of the service system at unit time intervals.
5. The service component adjusting method applied to a service system according to claim 4, wherein the setting the adjustment time interval comprises:
presetting an adjustment time interval matrix T, and setting T (T1, T2, T3 and T4), wherein T1 is a preset first adjustment time interval, T2 is a preset second adjustment time interval, T3 is a preset third adjustment time interval, T4 is a preset fourth adjustment time interval, and T1< T2< T3< T4;
presetting a service system response time matrix C, and setting C (C1, C2, C3 and C4), wherein C1 is preset first service system response time, C2 is preset second service system response time, C3 is preset third service system response time, C4 is preset fourth service system response time, and C1< C2< C3< C4;
acquiring the historical response times c of the service system at the unit time interval;
when C1< C2, setting the adjustment time interval T to be a preset first adjustment time interval T1, i.e., t=t1;
when C2< C3, setting the adjustment time interval T to be a preset second adjustment time interval T2, i.e., t=t2;
when C3< C4, setting the adjustment time interval T to be a preset third adjustment time interval T3, i.e., t=t3;
when C > C4, the adjustment time interval T is set to be the preset first adjustment time interval T1, i.e., t=t4.
6. The business component adjusting method applied to the business system according to claim 5, wherein when the time node is preset for adjustment, the method further comprises:
acquiring service system response times c1 between a previous adjustment time node and a current adjustment time node;
generating a difference result between c1 and c;
when c1> c, correcting the time interval between the current time adjustment time node and the next adjustment time;
when c1 is less than or equal to c, no correction is made.
7. The service component adjusting method as claimed in claim 6, wherein when the time interval between the current time adjustment time node and the next adjustment time is corrected, comprising:
presetting a time interval adjustment coefficient matrix N, setting N (N1, N2, N3, N4), wherein N1 is a preset first time interval correction coefficient, N2 is a preset second time interval correction coefficient, N3 is a preset third time interval correction system, N4 is a preset fourth time interval correction coefficient, and 0.7< N1< N2< N3< N4<1;
presetting a difference matrix D, and setting D (D1, D2, D3 and D4), wherein D1 is a preset first difference, D2 is a preset second difference, D3 is a preset third difference, D4 is a preset fourth difference, and D1< D2< D3< D4;
acquiring the time interval between the last adjustment time node and the current adjustment time node;
acquiring a real-time difference result d;
when D1< D2, setting the correction coefficient n as a preset first time interval correction coefficient n1, and the corrected time interval t=n1×ti;
when D2< D3, setting the correction coefficient n as a preset second time interval correction coefficient n2, and the corrected time interval t=n2×ti;
when D3< D4, setting the correction coefficient n as a preset third time interval correction coefficient n3, and the corrected time interval t=n3×ti;
when D > D4, setting the correction coefficient n as a preset fourth time interval correction coefficient n4, and correcting the time interval t=n4×ti.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679384A (en) * | 2013-12-25 | 2014-03-26 | 武汉武船信息集成有限公司 | Method for workflow cooperative office work |
| CN111142855A (en) * | 2020-04-03 | 2020-05-12 | 中邮消费金融有限公司 | Software development method and software development system |
| CN111930354A (en) * | 2020-08-12 | 2020-11-13 | 创意信息技术股份有限公司 | Framework component for software development and construction method thereof |
| CN115049499A (en) * | 2022-08-17 | 2022-09-13 | 北京云成金融信息服务有限公司 | Financing method and system for supply chain financial platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679384A (en) * | 2013-12-25 | 2014-03-26 | 武汉武船信息集成有限公司 | Method for workflow cooperative office work |
| CN111142855A (en) * | 2020-04-03 | 2020-05-12 | 中邮消费金融有限公司 | Software development method and software development system |
| CN111930354A (en) * | 2020-08-12 | 2020-11-13 | 创意信息技术股份有限公司 | Framework component for software development and construction method thereof |
| CN115049499A (en) * | 2022-08-17 | 2022-09-13 | 北京云成金融信息服务有限公司 | Financing method and system for supply chain financial platform |
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