CN117812151A - System supporting multi-platform function extraction and unified construction - Google Patents
System supporting multi-platform function extraction and unified construction Download PDFInfo
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- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
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Abstract
The application relates to the technical field of platform interaction, in particular to a system supporting multi-platform function extraction and unification, which comprises: the system comprises a first service platform and a plurality of second service platforms, wherein the first service platform comprises a processor, a memory for storing a computer program and a first storage medium for storing a plurality of initial service webpage information, and when the computer program is executed by the processor, the following steps are realized: when receiving the target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform, and when receiving the first service association data set fed back by the second service platform, the first service association data set generates a target service association data set according to the first service association data set. It can be known that the unified storage and data sharing of a plurality of second service platforms can be realized.
Description
Technical Field
The invention relates to the technical field of platform interaction, in particular to a system supporting multi-platform function extraction and unified construction.
Background
At present, for a plurality of low-level platforms which cannot be interacted, sharing of collected data information cannot be realized, personnel information which is collected by a certain platform in a region of the platform often occurs, if the personnel information is required by the platform in other regions, the stored information of the collected platform cannot be inquired, the collected information can only be collected again, statistics of the personnel information is affected, and the working efficiency is reduced.
Disclosure of Invention
Aiming at the technical problems, the invention adopts the following technical scheme:
a system supporting multi-platform functional extraction and unification, the system comprising: the system comprises a first service platform and m second service platforms, wherein the first service platform is in communication connection with each second service platform, the first service platform comprises a processor, a memory for storing a computer program and a first storage medium for storing n initial service webpage information, and when the computer program is executed by the processor, the following steps are realized:
and S100, when receiving the target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform.
And S200, when receiving the first service association data set fed back by the second service platform and the destination address corresponding to the second service platform, generating a target service association data set according to the first service association data set.
Wherein the target service association data set is generated by:
s201, when first feedback information of the second service platform is received, an intermediate service association data set is queried from a preset user database of the first service platform according to the first feedback information, and the intermediate service association data set is sent to the second service platform.
S202, inquiring a second service association data set from a preset user database of the first service platform according to the intermediate service association data set.
And S203, when the first service association data set fed back by the second service platform is received, merging the first service association data set and the second service association data set into a target service association data set.
And S300, when the received destination address corresponding to the second service platform is not null, the target service association data set is sent to the second service platform.
And S400, when the received destination address corresponding to the second service platform is null and a target query request sent by the second service platform is received, the target service association data set is sent to the second service platform.
And S500, when the received destination address corresponding to the second service platform is null and the target query request sent by the second service platform is not received, storing the target service association data set in the first service platform.
Compared with the prior art, the system for supporting multi-platform function extraction and unified construction has obvious beneficial effects, by means of the technical scheme, the system for supporting multi-platform function extraction and unified construction can achieve quite technical progress and practicality, has wide industrial utilization value, and has at least the following beneficial effects:
the invention provides a system supporting multi-platform function extraction and unification, which comprises: the system comprises a first service platform and m second service platforms, wherein the first service platform is in communication connection with each second service platform, the first service platform comprises a processor, a memory for storing a computer program and a first storage medium for storing n initial service webpage information, and when the computer program is executed by the processor, the following steps are realized: when receiving the target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform, when receiving a first service associated data set fed back by the second service platform and a target address corresponding to the second service platform, the first service platform generates a target service associated data set according to the first service associated data set, when receiving a target address corresponding to the second service platform which is not null, the target service associated data set is sent to the second service platform, when receiving a target query request sent by the second service platform which is null, the target service associated data set is sent to the second service platform, and when receiving a target query request sent by the second service platform which is not received, the target service associated data set is stored in the first service platform. According to the invention, the target service association data set is generated according to the first service association data set fed back by each second service platform, so that the extraction of the commonality function of a plurality of second service platforms is realized, then the target service association data set is stored in the first service platform, unified construction of data is realized, any second service platform can inquire service data collected by all second service platforms in the first service platform, unified storage of data and sharing of data are realized, in addition, the second service platform does not need to collect the inquired data again, the working efficiency is improved, and the waste of resources in collection is reduced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a system execution computer program supporting multi-platform function extraction and statistics according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention provides a system supporting multi-platform function extraction and unification, which comprises: the first service platform and m second service platforms, the first service platform and each second service platform are in communication connection, the first service platform comprises a processor, a memory storing a computer program, and a first storage medium storing n initial service webpage information, when the computer program is executed by the processor, the following steps are implemented, as shown in fig. 1:
and S100, when receiving the target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform.
Specifically, the first service platform is used for monitoring the second service platform; it can be understood that: the level of the first service platform is greater than that of the second service platform, namely, the first service platform can monitor the operation condition, the storage condition and the like of the second service platform.
Specifically, the initial service webpage information includes: the method comprises the steps of initial service names, websites corresponding to the initial service names and webpage information corresponding to the initial service names; for example, the initial service name is "personnel information collection", or the like.
Further, the website corresponding to the initial service name is characterized as a website for acquiring webpage information corresponding to the initial service name; it can be understood that: and jumping to the initial service webpage and acquiring webpage information corresponding to the initial service name by operating the website of the initial service name.
Further, the webpage information corresponding to the initial service name includes webpage option names corresponding to a plurality of initial service names, labels of each webpage option name, and rules of each webpage option name, where, for example, the webpage option names may be names, urine tests, alcohol contents, and the like.
Specifically, the tag of the web page option name is used to represent whether the web page option name needs to be acquired again, for example: the label of blood group is "1", the label of urine test is "0", the "0" is characterized as needing to be collected again, and the "1" is characterized as needing not to be collected again.
Specifically, the rule of the webpage option name refers to a rule of the collection requirement corresponding to the webpage option name, for example, the rule of urine test is that 5-10ml is collected.
Specifically, the target service name refers to a service name of a target service, where the target service refers to a service that needs to be requested by the second service platform.
When any second service platform sends the target service name, the first service platform sends the initial service webpage information corresponding to the target service name to the second service platforms, so that each second service platform sending the target service name can obtain the same initial service webpage information, and after inputting of specified data on the initial service webpage is completed, unified extraction of data corresponding to webpage option names of a plurality of second service platforms, namely unified extraction of common functions, is achieved, and unified management of the first service platform on the data of a plurality of second service platforms is facilitated.
Specifically, the step S100 includes the following steps:
s101, acquiring a word vector A corresponding to the target service name and a word vector set A corresponding to the initial service name 0 ={A 0 1 ，A 0 2 ，……，A 0 j ，……，A 0 n }，A 0 j Refers to a word vector corresponding to the jth initial service name, j=1, 2 … … n.
S102, according to A and A 0 Obtaining the similarity F= { F of the word vector corresponding to the A 1 ，F 2 ，……，F j ，……，F n }，F j Refers to A and A 0 j Similarity between them.
Specifically, F j Meets the following conditions:
F j =(A·A 0 j )/(||A||×||A 0 j ||)。
s103, when the number of the maximum similarity in the F is 1, sending the initial service webpage information corresponding to the maximum similarity to the second service platform; it can be understood that: and if the maximum value in the n similarities is only one, sending the initial service webpage information corresponding to the maximum similarity to the second service platform.
And S104, when the number of the maximum similarity in the F is not 1, feeding back first prompt information to the second service platform.
Specifically, the first prompt information is used for representing information indicating that the name of the target service sent by the second service platform is wrong.
By calculating the similarity between the word vectors corresponding to all the initial service names and the word vectors corresponding to the target service names in the first service platform respectively, the initial service name with the maximum similarity with the target service name can be obtained, even if the target service name is inconsistent with all the initial service names, the initial service webpage information corresponding to the target service name can be obtained, the usability is improved, and when the number of the maximum similarity is not 1, the first prompt information can be sent to the second service platform, so that the staff of the second service platform can correct the target service name in time.
And S200, when receiving the first service association data set fed back by the second service platform and the destination address corresponding to the second service platform, generating a target service association data set according to the first service association data set.
Specifically, in step S200, the target service association data set is generated by:
s201, when first feedback information of the second service platform is received, an intermediate service association data set is queried from a preset user database of the first service platform according to the first feedback information, and the intermediate service association data set is sent to the second service platform, and is used by the second service platform to acquire the first service association data set; it can be understood that: and the second service platform sends first feedback information to the first service platform when receiving initial service webpage information corresponding to the target service name sent by the first service platform.
Specifically, the preset user database is a database storing a plurality of collected user related data information.
In a specific embodiment, the first feedback information is implemented by:
s1, traversing a tag list of intermediate webpage option names by the second service platform, wherein the tag list of intermediate webpage option names comprises a plurality of tags of intermediate webpage option names, and the tags of the intermediate webpage option names refer to any one of the tags of the webpage option names corresponding to the initial service names in the initial service webpage information corresponding to the target service names.
S2, when the label of the intermediate webpage option name is of a second label type, the second service platform generates acquisition item information of the target user and takes the acquisition item information of the target user as first feedback information, which can be understood as: and the second service platform feeds back the intermediate webpage option name corresponding to the second label type to the first service platform.
Further, the second tag type refers to a tag type corresponding to a web page option name that does not need to be collected again by the second service platform.
Further, the intermediate service association data set includes a plurality of intermediate service association data, where the intermediate service association data refers to related data of the target user corresponding to the intermediate webpage option name queried from a preset user database according to the intermediate webpage option name in the first feedback information, and may be understood as: the intermediate service association data is data that has been collected and stored in the first service platform.
In addition, when the label of the intermediate webpage option name is of a first label type, the second service platform acquires the associated data of the target user corresponding to the intermediate webpage option name; it can be understood that: and collecting the target user according to each item in the intermediate webpage option names, and transmitting the collected data to the second service platform.
Specifically, the target user is a user who is collected related data information when processing the target service corresponding to the target service name.
Further, the first tag type refers to a tag type corresponding to a web page option name that needs to be collected again by the second service platform.
Further, the related data of the target user refers to data corresponding to the target user collected according to the rule of the intermediate webpage option name, for example, when the intermediate webpage option name is a blood index or a urine index, the rule of the intermediate webpage option name is that 5-10ml is collected; and when the intermediate webpage option name is a face image, the rule of the intermediate webpage option name is a crown image.
S202, inquiring a second service association data set from a preset user database of the first service platform according to the intermediate service association data set.
Specifically, the second service association data set includes a plurality of second service association data, where the second service association data refers to intermediate service association data corresponding to when the intermediate service association data is not null.
And S203, when the first service association data set fed back by the second service platform is received, merging the first service association data set and the second service association data set into a target service association data set.
Specifically, the first service association data set includes a plurality of first service association data, where the first service association data is first type association data or second type association data, and the first type association data refers to association data of a target user corresponding to an intermediate webpage option name obtained when a label of the intermediate webpage option name is a first label type; the second type of related data refers to related data of the target user collected again according to the intermediate webpage option name in the first feedback information when the intermediate service related data is null; it can be understood that: and if the second service platform does not acquire certain intermediate service related data in the first service platform, acquiring the data acquired again for the target user according to the intermediate webpage option name corresponding to the intermediate service related data.
By sending the intermediate service association data set to the second service platform, the second service platform does not need to acquire the existing data in the intermediate service association data set again, time and manpower resources are saved, meanwhile, the second service association data set and the first service association data set sent by the second service platform are combined into the target service association data set to be stored in the first service platform in a unified manner, and expansion of relevant data of the target user is achieved, so that any second service platform can inquire and use relevant data of the target user when needed.
S300, when the received destination address corresponding to the second service platform is not null, the target service association data set is sent to the second service platform; it can be understood that: the first service platform transmits the target service association data set to the second service platform and simultaneously stores the target service association data set in the first service platform.
Specifically, the destination address fed back by the second service platform is characterized as an address used for receiving the target service association data in the second service platform.
When the second service platform feeds back a specific destination address, the target service related data is sent to the second service platform, so that the second service platform can inquire and use the target service related data, the normal process of the second service platform work is ensured, and meanwhile, the target service related data set is stored in the first service platform, thereby realizing the unified construction of the data of a plurality of second service platforms, and expanding user data for the second service platform to call when required.
In a specific embodiment, the method further comprises the following steps:
and S10, when the second service platform receives the target service association data set, judging the data label corresponding to each target service association data in the target service association data set.
Specifically, the target service association data is first service association data or second service association data.
S20, deleting the target service related data by the second service platform when the data tag corresponding to the target service related data is a first data tag; it can be understood that: and after the second service platform uses the target service associated data, deleting the target service associated data, and not reserving the target service associated data.
Specifically, the first data tag refers to a data type that may be retained, for example: the data that can be retained may be primary key data of the target service related data or data that does not reveal personal information of the user, such as a number after desensitization.
In a specific embodiment, the method further comprises the following steps:
s01, according to a preset time interval, the first service platform detects a storage disk in the second service platform, and a person skilled in the art sets the time interval according to actual requirements, which is not described herein.
Specifically, the storage disk in the second service platform refers to one or a plurality of disks for storing all data in the second service platform.
S02, if the target service related data is stored in the storage disk in the second service platform, the first service platform sends second prompt information to the second service platform.
Specifically, the second prompting information is used for indicating information for prompting the second service platform to delete the target service associated data.
And when the target service related data is stored in the second service platform, the first service platform sends prompt information for deleting the target service related data to the second service platform, thereby playing a role in warning, preventing the second service platform from storing the target service related data and protecting the safety of user data.
And S30, when the data tag corresponding to the target service association data is a second data tag, storing the target service association data in the second service platform.
In particular, the second data tag is characterized as a tag of a data type that cannot be persisted, for example: the data which cannot be retained can be collected blood type, SIM card number, user account number and the like which relate to personal information of the user.
According to the method, the type of the data tag corresponding to each target service associated data is judged, the data which can be reserved is stored in the second service platform, and the data which cannot be reserved is directly deleted, so that an operator cannot acquire a plurality of service associated data of the user in the second service platform, leakage of user information in the second data platform is prevented, and the safety of the data is enhanced.
S400, when the received destination address corresponding to the second service platform is null and the target query request sent by the second service platform is received, sending the target service association data set to the second service platform can be understood as: the target service association data set is transmitted to the second service platform while the target service association data set is also stored in the first service platform.
Specifically, the target query request refers to a request for querying a target service associated data set corresponding to a target user.
When the second service platform needs to use the target service association data set, a target query request corresponding to the target service association data set is sent to the first service platform to acquire the target service association data set and then to perform subsequent work processing.
In a specific embodiment, the system further comprises a scheduling platform and a plurality of initial access platforms, each of the initial access platforms and each of the second service platforms are communicatively connected to the scheduling platform, each of the initial access platforms is connected to the first service platform, and when the computer program is executed by the processor, the following steps are further implemented:
s1000, when the scheduling platform receives a target query request sent by any second service platform, acquiring an access priority set E= { E corresponding to the initial access platform 1 ，E 2 ，……，E δ ，……，E d }，E δ For the access priority corresponding to the δ -th initial access platform, δ=1, 2 … … d, d is the number of initial access platforms.
Specifically, E δ Meets the following conditions:
E δ =1/Q δ wherein Q is δ The delta initial access platform receives the number of access amounts in the previous second of the current moment.
Specifically, the current time refers to a time when the scheduling platform receives the target query request sent by the second service platform.
Specifically, the scheduling platform is a platform that sends a query request to a certain initial access platform when receiving the query request sent by the second service platform.
Specifically, the initial access platform refers to an access platform that sends a query request to a first service platform when receiving the query request sent by the scheduling platform.
And S2000, the scheduling platform acquires the target access platform according to the access priority corresponding to each initial access platform.
Specifically, the target access platform is the initial access platform corresponding to the maximum access priority.
S3000, according to the target access platform, the scheduling platform sends the target query request to the first service platform; it can be understood that: the scheduling platform sends the target query request to the target access platform, and the target access platform sends the target query request to a first service platform.
By calculating the access priority corresponding to each initial access platform, the access quantity condition of each initial access platform can be known, and the target query request is scheduled to the initial access platform with the largest access priority instead of other initial access platforms, so that reasonable allocation is realized, congestion and other conditions of the initial access platform with low access priority can be prevented, and the normal operation of a maintenance system is facilitated.
S500, when the received destination address corresponding to the second service platform is null and the target query request sent by the second service platform is not received, storing the target service association data set in a first service platform; it can be understood that: the target service association data set cannot be transmitted into the second service platform.
When the second service platform does not feed back a specific destination address and the second service platform does not send a target query request, the target service related data set is stored in the first service platform, that is, the data of a plurality of second service platforms are uniformly stored in the first service platform, so that any one second service platform can query the service related data set fed back by other second service platforms, and the queried data do not need to be acquired again, thereby improving the working efficiency and reducing the resource waste.
In summary, the present invention provides a system for supporting multi-platform function extraction and statistics, the system comprising: the system comprises a first service platform and m second service platforms, wherein the first service platform is in communication connection with each second service platform, the first service platform comprises a processor, a memory for storing a computer program and a first storage medium for storing n initial service webpage information, and when the computer program is executed by the processor, the following steps are realized: when receiving the target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform, when receiving a first service associated data set fed back by the second service platform and a target address corresponding to the second service platform, the first service platform generates a target service associated data set according to the first service associated data set, when receiving a target address corresponding to the second service platform which is not null, the target service associated data set is sent to the second service platform, when receiving a target query request sent by the second service platform which is null, the target service associated data set is sent to the second service platform, and when receiving a target query request sent by the second service platform which is not received, the target service associated data set is stored in the first service platform. According to the invention, the target service association data set is generated according to the first service association data set fed back by each second service platform, so that the extraction of the commonality function of a plurality of second service platforms is realized, then the target service association data set is stored in the first service platform, unified construction of data is realized, any second service platform can inquire service data collected by all second service platforms in the first service platform, unified storage of data and sharing of data are realized, in addition, the second service platform does not need to collect the inquired data again, the working efficiency is improved, and the waste of resources in collection is reduced.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (8)
1. A system for supporting multi-platform functional extraction and unification, the system comprising: the system comprises a first service platform and m second service platforms, wherein the first service platform is in communication connection with each second service platform, the first service platform comprises a processor, a memory for storing a computer program and a first storage medium for storing n initial service webpage information, and when the computer program is executed by the processor, the following steps are realized:
s100, when receiving a target service name of any second service platform, the first service platform sends initial service webpage information corresponding to the target service name to the second service platform;
s200, when a first service association data set fed back by the second service platform and a destination address corresponding to the second service platform are received, generating a target service association data set according to the first service association data set;
wherein the target service association data set is generated by:
s201, when first feedback information of the second service platform is received, an intermediate service association data set is queried from a preset user database of the first service platform according to the first feedback information, and the intermediate service association data set is sent to the second service platform, and is used by the second service platform to acquire the first service association data set;
s202, inquiring a second service association data set from a preset user database of the first service platform according to the intermediate service association data set;
s203, when a first service association data set fed back by the second service platform is received, merging the first service association data set and the second service association data set into a target service association data set;
s300, when the received destination address corresponding to the second service platform is not null, the target service association data set is sent to the second service platform;
s400, when the received destination address corresponding to the second service platform is null and a target query request sent by the second service platform is received, sending the target service association data set to the second service platform;
and S500, when the received destination address corresponding to the second service platform is null and the target query request sent by the second service platform is not received, storing the target service association data set in the first service platform.
2. The system for supporting multi-platform functionality extraction and unification of claim 1, wherein the first service platform is configured to monitor the second service platform.
3. The system for supporting multi-platform feature extraction and unification as claimed in claim 1, wherein the initial service web page information comprises: the method comprises the steps of initial service names, websites corresponding to the initial service names and webpage information corresponding to the initial service names.
4. The system for supporting multi-platform function extraction and statistics according to claim 3, wherein S100 specifically comprises the steps of:
s101, acquiring a word vector A corresponding to the target service name and a word vector set A corresponding to the initial service name 0 ={A 0 1 ，A 0 2 ，……，A 0 j ，……，A 0 n }，A 0 j A word vector corresponding to the jth initial service name, j=1, 2 … … n;
s102, according to A and A 0 Obtaining the similarity F= { F of the word vector corresponding to the A 1 ，F 2 ，……，F j ，……，F n }，F j Refers to A and A 0 j Similarity between;
s103, when the number of the maximum similarity in the F is 1, sending the initial service webpage information corresponding to the maximum similarity to the second service platform;
and S104, when the number of the maximum similarity in the F is not 1, feeding back first prompt information to the second service platform.
5. The system for supporting multi-platform function extraction and unification as claimed in claim 4, wherein F j Meets the following conditions:
F j =(A·A 0 j )/(||A||×||A 0 j ||)。
6. the system for supporting multi-platform function extraction and statistics according to claim 1, wherein said first feedback information is implemented by:
s1, traversing a tag list of intermediate webpage option names by the second service platform, wherein the tag list of the intermediate webpage option names comprises a plurality of tags of the intermediate webpage option names;
s2, when the label of the intermediate webpage option name is of a second label type, the second service platform generates acquisition item information of the target user and takes the acquisition item information of the target user as first feedback information.
7. The system for supporting multi-platform function extraction and statistics according to claim 6, wherein the second tag type is a tag type corresponding to a web page option name that the second service platform does not need to re-collect.
8. The system for supporting multiple platform feature extraction and unification of claim 1, wherein the target query request is a request to query a target service association dataset corresponding to a target user.
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| US20120051259A1 (en) * | 2010-08-30 | 2012-03-01 | Noah Gintis | Traffic Generator with Dynamic MPLS Label Assignment |
| CN102999561A (en) * | 2011-10-28 | 2013-03-27 | 微软公司 | Content trendency of dataset and data service |
| US20170339174A1 (en) * | 2016-05-19 | 2017-11-23 | International Business Machines Corporation | Computer security apparatus |
| CN115269612A (en) * | 2022-09-26 | 2022-11-01 | 公安部信息通信中心 | Cross-platform multidimensional data fusion system based on micro-service |
| CN116645055A (en) * | 2023-05-29 | 2023-08-25 | 北京新畅科技有限公司 | One-stop type medical enterprise information service platform |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120051259A1 (en) * | 2010-08-30 | 2012-03-01 | Noah Gintis | Traffic Generator with Dynamic MPLS Label Assignment |
| CN102999561A (en) * | 2011-10-28 | 2013-03-27 | 微软公司 | Content trendency of dataset and data service |
| US20170339174A1 (en) * | 2016-05-19 | 2017-11-23 | International Business Machines Corporation | Computer security apparatus |
| CN115269612A (en) * | 2022-09-26 | 2022-11-01 | 公安部信息通信中心 | Cross-platform multidimensional data fusion system based on micro-service |
| CN116645055A (en) * | 2023-05-29 | 2023-08-25 | 北京新畅科技有限公司 | One-stop type medical enterprise information service platform |
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