CN112214490A - Business object storage method and device and computer readable storage medium - Google Patents

Business object storage method and device and computer readable storage medium Download PDF

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CN112214490A
CN112214490A CN202011095080.5A CN202011095080A CN112214490A CN 112214490 A CN112214490 A CN 112214490A CN 202011095080 A CN202011095080 A CN 202011095080A CN 112214490 A CN112214490 A CN 112214490A
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business
data
objects
service
business object
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张俊熙
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Shanghai Miaoyi Biotechnology Co Ltd
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Shanghai Miaoyi Biotechnology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2219Large Object storage; Management thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
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Abstract

The application relates to a business object storage method, a device, a system, computer equipment and a computer readable storage medium, wherein the business object storage method comprises the following steps: classifying the business objects according to the types of the business objects; acquiring identifications of the classified service objects, wherein the identifications meet a preset relationship; the classified business objects are stored according to the identified relation, through the application, the problem that data cannot be structured and consistent in the digital application construction of the clinical research industry is solved, the problem that a plurality of data models and fields are overlapped and abstracted due to the fact that most business data bodies are stored in a scattered mode and the traditional type of the clinical research industry is solved, and the data structuring and the data consistency in the digital application construction of the clinical research industry are achieved.

Description

Business object storage method and device and computer readable storage medium
Technical Field
The present application relates to the field of computers, and in particular, to a method and an apparatus for storing a business object, a computer device, and a computer-readable storage medium.
Background
In the digital application construction of the clinical research industry, at present, the flow direction of each business data is maintained through an internal management system of an enterprise, the data is dispersed and difficult to manage, the business data is dispersed and recorded in a manual mode, data particles are coarse and difficult to mine the data value, moreover, different products/terminals are respectively in good condition, the difference of field structures of the same business data corresponding to the system is large, the data correlation is poor, data statistics and application cannot be carried out, target data crawling such as a medicine supervision website/clinical research test official website is carried out through a crawler technology, the obtained data structure is different from the data format, the authority is lacked, finally, the data structure integrity is perfected through user feedback or related employees, but each employee is in good condition, a main reliable data source is not available, and the data maintenance and updating are not timely.
At present, in the related technology, data cannot be structured and consistent in the digital application construction of the clinical research industry, and a plurality of data models and fields are overlapped and abstracted due to the scattered storage of most business data volumes and the traditional type of the clinical research industry, and an effective solution is not provided.
Disclosure of Invention
The embodiment of the application provides a business object storage method, a business object storage device, a business object storage system, a computer device and a computer readable storage medium, which at least solve the problems that data cannot be structured and consistent in the digital application construction of the clinical research industry in the related art, and a plurality of data models and fields are overlapped and abstracted due to the dispersed storage of most business data bodies and the traditional type of the clinical research industry.
In a first aspect, an embodiment of the present application provides a method for storing a business object, including: classifying the business objects according to the types of the business objects; acquiring identifications of the classified service objects, wherein the identifications meet a preset relationship; and storing the classified business objects according to the identified relation.
In some of these embodiments, classifying the business object according to its type includes: determining a main body object in the business object according to the type of the business object; determining a group of the subject object according to the function of the subject object; and structuring the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
In some embodiments, obtaining the identifier of the classified business object includes: acquiring an identifier of a subject object; and determining the identification of the subordinate object according to the identification of the main object and the preset relationship.
In some embodiments, after storing the classified business objects in the identified relationship, the method further includes: receiving data input by a terminal; determining a service object corresponding to the terminal, and determining that the data is legal; and storing the data according to the identification of the service object.
In some embodiments, after storing the classified business objects in the identified relationship, the method further includes: receiving a query request input by a terminal, wherein the query request carries a service object corresponding identifier; inquiring in the stored business object based on the identifier, and acquiring data of the business object corresponding to the identifier; and feeding back data to the terminal.
In a second aspect, an embodiment of the present application provides a business object storage apparatus, including: the classification module is used for classifying the business objects according to the types of the business objects; the acquisition module is used for acquiring the identifications of the classified service objects, wherein the identifications meet the preset relationship; and the storage module is used for storing the classified service objects according to the relationship of the identifiers.
In some embodiments, the classification module is further configured to determine a subject object in the business objects according to the types of the business objects; determining the group of the main object according to the function of the main object; and carrying out structuring processing on the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
In some embodiments, the obtaining module is further configured to: acquiring an identifier of the subject object; and determining the identification of the subordinate object according to the identification of the main object and a preset relationship.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method as described above when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the method as described above.
Compared with the related art, the business object storage method provided by the embodiment of the application classifies the business objects according to the types of the business objects; acquiring identifications of the classified service objects, wherein the identifications meet a preset relationship; the classified business objects are stored according to the identified relation, so that the problem that data cannot be structured and consistent in the digital application construction of the clinical research industry is solved, the problem that a plurality of data models and fields are overlapped and abstracted due to the fact that most business data bodies are stored in a scattered mode and the traditional type of the clinical research industry is solved, and the data structuring and the data consistency in the digital application construction of the clinical research industry are achieved.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart illustrating a business object storage method according to an embodiment of the present invention;
FIG. 2 is a master data model object overview chart consistent with actual business attributes of the clinical research industry in accordance with embodiments of the present invention;
FIG. 3 is a schematic diagram of a process for effectively guaranteeing data validity/authority under a master data model according to an embodiment of the present invention;
FIG. 4 is a block diagram of a business object store in accordance with an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
In this embodiment, a task processing method is provided, as shown in fig. 1, the method includes:
step S102, classifying the business objects according to the types of the business objects;
step S104, acquiring the identifications of the classified service objects, wherein the identifications meet a preset relationship;
and step S106, storing the classified service objects according to the identified relation.
Compared with the related art, the business object storage method provided by the embodiment of the application classifies the business objects according to the types of the business objects; acquiring identifications of the classified service objects, wherein the identifications meet a preset relationship; the classified business objects are stored according to the identified relation, so that the problem that data cannot be structured and consistent in the digital application construction of the clinical research industry is solved, the problem that a plurality of data models and fields are overlapped and abstracted due to the fact that most business data bodies are stored in a scattered mode and the traditional type of the clinical research industry is solved, and the data structuring and the data consistency in the digital application construction of the clinical research industry are achieved.
Specifically, the existing main business objects in the clinical research industry are extracted (organization/ethics/inheritance), the extraction mainly comprises three main objects, namely organization, ethics and inheritance, of the plate business of the organization in the clinical research industry, in the actual business, the organization is an entrance, and the organization can develop subsequent clinical research business, for example, the establishment for developing new drugs needs to be supported by the organization, and then the ethics can be used for protecting and supervising subjects in the research and development of the new drugs and the genetics can be used for controlling and protecting genes in the research and development. And extracting the main object in the actual service scene.
Then, the subject object is refined. The mechanism has basic information, contact information, guide information, mechanism transaction flow and other subordinate information which belong to the mechanism main body to be clearly associated and divided, a main data object model which is provided with a link with a definite upper-level and lower-level relation is formulated, and powerful fulcrums are provided for subsequent flexible service expansion and data reverse searching.
The main data model in the current clinical research industry is more friendly to solve the data consistency power in structuring and application in data storage, and is friendly to ensure that the export and the entry of each product data of each terminal are based on one set of data model, thereby laying the hardmac capability for the digital application in the clinical research industry.
In another embodiment of the present invention, classifying the business object according to the type of the business object includes: determining a main body object in the business object according to the type of the business object; determining a group of the subject object according to the function of the subject object; and structuring the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
Specifically, the extraction (organization/ethics/inheritance) is performed by taking the main object as a primary data item, the secondary/tertiary data item extraction is performed by taking the subordinate object as a secondary/tertiary data item, the extraction is actually performed by slicing the service according to the service, the service in the current chunk region is structured, the structured secondary/tertiary data item is also the current secondary/tertiary data item, for example, the organization is taken as the primary data item, a plurality of sub-services such as organization departments, organization contract signing processes, organization finances, organization guides and the like are dispersed under the primary data item, and the pair of entities takes the primary data model and divides the primary data model into secondary/tertiary data so that the index and the application of the subsequent data have a hierarchical relationship, so that friendly index conditions can be provided for both forward and backward directions.
In another embodiment of the present invention, acquiring the identifier of the classified service object includes: acquiring an identifier of a subject object; and determining the identification of the subordinate object according to the identification of the main object and the preset relationship.
Specifically, all secondary/tertiary data items and primary data items have id association, so that target data of all subordinate objects under a main body can be acquired through the main body object id except that the current object id can index the target data in a subsequent use scene, and the flexibility of the data use scene is greatly enhanced.
In addition, after the 1/2/3-level data item prototype is built, it is guaranteed that the actual structure of each level of data item matches with the actual business model of the clinical research industry, communication with respective business systems is needed, basic business fields and basic business enumeration are collected, it is guaranteed that the main data structure model can really get through business arteries of the clinical research industry after being built and establish attribute connection with upstream and downstream business systems, and business data which are possessed by the main data model are obtained through the structured main data model, for example, 10 fields related to mechanism processes of the A system and 15 fields related to the mechanism processes of the B system, the main data model carefully grades the actual scene of each field, whether the field has enough business attributes, and whether the data value can be provided by distributing respective product terminals after the main data model is integrated.
In another embodiment of the present invention, after storing the classified business objects according to the identified relationship, the method further includes: receiving data input by a terminal; determining a service object corresponding to the terminal, and determining that the data is legal; and storing the data according to the identification of the service object.
Specifically, as shown in fig. 2-3:
1. each terminal/terminal of the ecological circle in the clinical research industry takes the terminal/terminal as a data source, provides data input of main data after falling to the ground based on the main data model, equivalently, the service system is taken as a data port to continuously meet service capability and simultaneously perform collection action under respective service scenes, and synchronously writes the collected service data into the main data model to provide richness for the data of the main data model.
2. After providing abundant data entry at each data source, to ensure that the entered data not only matches with the structured storage of the main data, but also ensures the validity of all data, the main data model maintainer can manually check the entered data one by one according to the flow in fig. 3 to ensure data authority, and illegal data in the node can be rejected, wherein the module shown in fig. 3 has the following meanings:
md-gov: the main data temporary storage library, since the data can not be repeated or specified, in order to ensure the accuracy and reliability of all data inflow, the main data temporary storage library passes through the temporary storage library and is received and manually checked when the temporary storage library stays so as to complete the entry of valid/correct data into the md-core;
md-core: the main database only flows into the core after manual review or cleaning, and the data arriving at the core can directly enter a service scene to be actually used to generate actual service value;
data-api: the database is not designed enough, external data or all data are required to be input, but the data cannot be directly input into the database, a standard needs to be formulated at that time, a standard using posture is provided for the external use, the data-api has the function, and an interface exposed to the md-gov input data ensures that all terminals can freely input data, is manually checked and finally put into service use.
3. All the data after being manually checked effectively guarantee the data validity, and finally, effective data services are provided for all parties based on the API capability of the main data model open service to guarantee that the data between different platforms are credible data and digitalized application data.
In another embodiment of the present invention, after storing the classified business objects according to the identified relationship, the method further includes: receiving a query request input by a terminal, wherein the query request carries a service object corresponding identifier; inquiring in the stored business object based on the identifier, and acquiring data of the business object corresponding to the identifier; and feeding back data to the terminal.
The method ensures effective and healthy operation of each ecological terminal platform system, and the core main body object data generated by the dependent main body business has validity, consistency and authority. The main data model is friendly to the overall business condition of the clinical research industry, a set of data models is structured, data of each data source/each data terminal is aggregated, the validity of the data under the main data model is guaranteed through a flow process and manual intervention, and the inflow of repeated data and dirty data is directly and effectively avoided. Finally, consistent, effective and authoritative main data objects are provided for all the ecosystem/platform terminals, and the main data objects are guaranteed to play data values in all the service scenes.
The present embodiment further provides a business object apparatus, which is used to implement the foregoing embodiments and preferred embodiments, and the description of the business object apparatus is omitted here. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a structure of a business object storage apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes:
a classification module 42, configured to classify the service object according to the type of the service object;
an obtaining module 44, configured to obtain identifiers of the classified service objects, where the identifiers satisfy a preset relationship;
and the storage module 46 is configured to store the classified service objects according to the identified relationship.
In some embodiments, the classification module 42 is further configured to determine a subject object in the business objects according to the types of the business objects; determining the group of the main object according to the function of the main object; and carrying out structuring processing on the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
In some embodiments, the obtaining module 44 is further configured to: acquiring an identifier of the subject object; and determining the identification of the subordinate object according to the identification of the main object and a preset relationship.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
The embodiment of the present disclosure provides an electronic device, as shown in fig. 5, the electronic device includes one or more processors 51 and a memory 52, and one processor 53 is taken as an example in fig. 5.
The controller may further include: an input device 53 and an output device 54.
The processor 51, the memory 52, the input device 53 and the output device 54 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The processor 51 may be a Central Processing Unit (CPU). The processor 51 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 52, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the control methods in the embodiments of the present disclosure. The processor 51 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 52, i.e. implements the method of the above-described method embodiment.
The memory 52 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 52 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 52 may optionally include memory located remotely from the processor 51, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 53 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 54 may include a display device such as a display screen.
One or more modules are stored in the memory 52, which when executed by the one or more processors 51 perform the method as shown in fig. 1.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the motor control methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), a flash memory (FlashMemory), a hard disk (hard disk drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A business object storage method, comprising:
classifying the business objects according to the types of the business objects;
acquiring identifications of the classified service objects, wherein the identifications meet a preset relationship;
and storing the classified service objects according to the identified relation.
2. The business object storage method of claim 1, wherein said classifying the business object according to the type of the business object comprises:
determining a main object in the business object according to the type of the business object;
determining the group of the main object according to the function of the main object;
and structuring the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
3. The business object storage method of claim 2, wherein the obtaining the classified business object identifier comprises:
acquiring an identifier of the subject object;
and determining the identification of the subordinate object according to the identification of the main object and a preset relationship.
4. The business object storage method according to claim 1, wherein after storing the classified business objects according to the identified relationship, further comprising:
receiving data input by a terminal;
determining a service object corresponding to the terminal, and determining that the data is legal;
and storing the data according to the identification of the service object.
5. The business object storage method according to claim 1, wherein after storing the classified business objects according to the identified relationship, further comprising:
receiving a query request input by a terminal, wherein the query request carries a service object corresponding identifier;
inquiring in the stored business object based on the identifier, and acquiring the data of the business object corresponding to the identifier;
and feeding back the data to the terminal.
6. A business object storage device, comprising:
the classification module is used for classifying the business objects according to the types of the business objects;
the acquisition module is used for acquiring the identifications of the classified service objects, wherein the identifications meet the preset relationship;
and the storage module is used for storing the classified service objects according to the relationship of the identifiers.
7. The business object storage device of claim 6, wherein the classification module is further configured to determine a subject object in the business objects according to the types of the business objects; determining the group of the main object according to the function of the main object; and carrying out structuring processing on the service corresponding to the main object in the group to obtain a subordinate object corresponding to the main object.
8. The business object storage device of claim 7, wherein the obtaining module is further configured to: acquiring an identifier of the subject object; and determining the identification of the subordinate object according to the identification of the main object and a preset relationship.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the business object storage method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the business object storage method of any one of claims 1 to 5.
CN202011095080.5A 2020-10-14 2020-10-14 Business object storage method and device and computer readable storage medium Pending CN112214490A (en)

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CN109471863A (en) * 2018-11-12 2019-03-15 北京懿医云科技有限公司 Information query method and device, electronic equipment based on distributed data base
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