CN117032788A - Data management monitoring method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application relates to the technical field of digital medical treatment, and provides a data management monitoring method, a device, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring business rule information; editing the business rule information based on a rule editor to obtain an execution business rule; loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition; loading an external data stream based on a data loader; analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information; and calculating the external data flow according to the task execution flow information by a calculation engine to obtain a service execution result. The technical scheme ensures that the development process of the digital medical system is more flexible and simple, and the cost of system development and operation and maintenance is well reduced.
Description
Technical Field
Embodiments of the present application relate to, but are not limited to, the field of data monitoring and digital medical technology, and in particular, to a data management monitoring method, apparatus, electronic device, and computer readable storage medium.
Background
Along with the continuous development of social economy and continuous progress of science and technology, the medical level is rapidly developed, and digital medical treatment is well popularized and applied. At present, most digital medical systems are compiled by developers into various coding rules and then run through various program frameworks. However, medical practitioners or system administrators do not directly participate in the encoding work, they generally provide rules through documents or other interactive forms, and are programmed by developers, multiple human cost inputs exist in the middle, and a plurality of cross-domain rules exist in the digital medical monitoring system, so that a large number of repeated works exist in the development process, and the cost for developing and operating the digital medical monitoring system is increased.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
In order to solve the problems mentioned in the background art, the embodiment of the application provides a data management monitoring method, a device, an electronic device and a computer readable storage medium, so that the development process of a digital medical monitoring system is more flexible and simple, and the cost of system development and operation and maintenance is well reduced.
In a first aspect, an embodiment of the present application provides a data management monitoring method, applied to a data management monitoring system, where the data management monitoring system includes a rule editor and an execution engine, and the execution engine includes a data loader, a scheduler, a calculation engine, and a file loader, and the method includes:
acquiring business rule information;
editing the business rule information based on the rule editor to obtain an execution business rule;
loading the execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition;
loading an external data stream based on the data loader;
analyzing and processing the execution business rule after the version number is updated based on the scheduler to obtain task execution flow information;
and calculating the external data stream by the calculation engine according to the task execution flow information to obtain a service execution result.
According to some embodiments of the application, the editing processing of the business rule information based on the rule editor obtains an execution business rule, including:
Analyzing the business rule information based on the rule editor to obtain rule function information, rule set information and rule flow information;
and integrating the rule function information, the rule set information and the rule flow information to obtain the execution service rule.
According to some embodiments of the present application, after the rule editor edits the business rule information to obtain an execution business rule, the method further includes:
the execution business rule is transferred to a preset database;
and marking the storage areas of the database storing the execution business rules so that the corresponding storage areas carry marking information.
According to some embodiments of the present application, the loading the execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition includes:
reading the execution business rule from the corresponding storage interval according to the marking information by the file loader;
and the execution business rule is restored to the version partition, and the version number of the corresponding version partition is updated so as to enable the priority of the corresponding version partition to be highest.
According to some embodiments of the present application, the analyzing and processing the execution business rule after the version number is updated based on the scheduler to obtain task execution flow information includes:
extracting the rule flow information in the execution business rule based on the scheduler;
and constructing the task execution flow information based on the rule flow information obtained through extraction, wherein the task execution flow information is used for representing the execution sequence of the task.
According to some embodiments of the application, the calculating, by the calculation engine, the external data stream according to the task execution flow information to obtain a service execution result includes:
analyzing and processing the task execution flow information based on the calculation engine to obtain task execution sequence information;
sequentially arranging the external data streams according to the task execution sequence information;
and sequentially carrying out calculation processing on the external data stream subjected to the sequence arrangement processing according to the task execution sequence information to obtain the service execution result.
According to some embodiments of the present application, after the computing engine performs computing processing on the external data stream according to the task execution flow information to obtain a service execution result, the method further includes:
Converting the service execution result into a data execution file;
and feeding back the data execution file to a preset network address.
In a second aspect, an embodiment of the present application further provides a data management monitoring apparatus, which is applied to a data management monitoring system, where the data management monitoring system includes a rule editor and an execution engine, and the execution engine includes a data loader, a scheduler, a calculation engine, and a file loader, and the apparatus includes:
the first processing module is used for acquiring business rule information;
the second processing module is used for editing the business rule information based on the rule editor to obtain an execution business rule;
the third processing module is used for loading the execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition;
a fourth processing module for loading an external data stream based on the data loader;
the fifth processing module is used for analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information;
and the sixth processing module is used for calculating the external data stream according to the task execution flow information through the calculation engine to obtain a service execution result.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the data management monitoring method as described in the first aspect above when executing the computer program.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium storing computer executable instructions for performing the data management monitoring method according to the first aspect above.
The data management monitoring method provided by the embodiment of the application has at least the following beneficial effects: firstly, acquiring business rule information; then editing the business rule information based on a rule editor to obtain an execution business rule; then loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition; then loading an external data stream based on the data loader; then analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information; and finally, calculating the external data flow according to the task execution flow information by a calculation engine to obtain a service execution result. Through the technical scheme, the development process of the digital medical monitoring system is more flexible and simple, and the cost of system development operation and maintenance is well reduced.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and do not limit the application.
FIG. 1 is a flow chart of a method for data management monitoring provided by one embodiment of the present application;
FIG. 2 is a flowchart illustrating editing processing of business rule information in the data management monitoring method according to an embodiment of the present application;
FIG. 3 is a flow chart of a data management monitoring method according to another embodiment of the present application;
FIG. 4 is a flowchart of a version number update process in a data management monitoring method according to an embodiment of the present application;
FIG. 5 is a flow chart of an analysis process for executing business rules in a data management monitoring method according to an embodiment of the present application;
FIG. 6 is a flowchart of a calculation process for an external data stream in a data management monitoring method according to an embodiment of the present application;
FIG. 7 is a flow chart of a method for data management monitoring according to another embodiment of the present application;
FIG. 8 is a schematic diagram of a data management monitoring device according to an embodiment of the present application;
Fig. 9 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It should be noted that although functional block division is performed in the apparatus schematic and logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than block division in the apparatus or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
It is to be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless defined otherwise. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
AI is a new technical science to study, develop theories, methods, techniques and application systems for simulating, extending and expanding human intelligence; artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and to produce a new intelligent machine that can react in a manner similar to human intelligence, research in this field including robotics, language recognition, image recognition, natural language processing, and expert systems. Artificial intelligence can simulate the information process of consciousness and thinking of people. Artificial intelligence is also a theory, method, technique, and application system that utilizes a digital computer or digital computer-controlled machine to simulate, extend, and expand human intelligence, sense the environment, acquire knowledge, and use knowledge to obtain optimal results.
Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.
The artificial intelligence is AI, which is the theory, method, technique and application system that uses digital computer or the machine controlled by digital computer to simulate, extend and expand the human intelligence, sense the environment, acquire knowledge and use knowledge to obtain the best result.
The server related to the artificial intelligence technology can be an independent server, or can be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDNs), basic cloud computing services such as big data and artificial intelligence platforms, and the like.
The application provides a data management monitoring method, a device, electronic equipment and a computer readable storage medium, wherein business rule information is firstly acquired; then editing the business rule information based on a rule editor to obtain an execution business rule; then loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition; then loading an external data stream based on the data loader; then analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information; and finally, calculating the external data flow according to the task execution flow information by a calculation engine to obtain a service execution result. Through the technical scheme, the development process of the digital medical system is more flexible and simple, and the cost of developing operation and maintenance of the system is well reduced.
The embodiment of the application provides a data management monitoring method, which relates to the technical field of digital medical treatment. The data management monitoring method provided by the embodiment of the application can be applied to the terminal, can be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal may be a smart phone, tablet, notebook, desktop, etc.; the server side can be configured as an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like; the software may be an application or the like that implements the data management monitoring method, but is not limited to the above form.
The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
It should be noted that, in each specific embodiment of the present application, when related processing is required according to user information, user behavior data, user history data, user location information, and other data related to user identity or characteristics, permission or consent of the user is obtained first, and the collection, use, processing, and the like of the data comply with related laws and regulations and standards. In addition, when the embodiment of the application needs to acquire the sensitive personal information of the user, the independent permission or independent consent of the user is acquired through popup or jump to a confirmation page and the like, and after the independent permission or independent consent of the user is definitely acquired, the necessary relevant data of the user for enabling the embodiment of the application to normally operate is acquired.
Embodiments of the present application will be further described below with reference to the accompanying drawings.
As shown in fig. 1, fig. 1 is a flowchart of a data management monitoring method according to an embodiment of the present application, and the data management monitoring method includes, but is not limited to, steps S100 to S600.
Step S100, obtaining business rule information;
step S200, editing the business rule information based on a rule editor to obtain an execution business rule;
Step S300, loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition;
step S400, loading an external data stream based on a data loader;
step S500, analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information;
step S600, the external data stream is calculated and processed by the calculation engine according to the task execution flow information to obtain a service execution result.
In the process of data management and monitoring, firstly, acquiring business rule information; then editing the business rule information based on a rule editor to obtain an execution business rule; then loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition; then loading an external data stream based on the data loader; then analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information; and finally, calculating the external data flow through a calculation engine according to the task execution flow information to obtain a service execution result. Through the technical scheme, the development process of the digital medical system is more flexible and simple, and the system development cost is well reduced. The data management monitoring system comprises a rule editor and an execution engine, wherein the execution engine comprises a data loader, a scheduler, a calculation engine and a file loader.
Notably, the business rule information is rule information formulated by medical staff needing to control the corresponding digital medical system; for example, for the application scenario of conventional physical examination, physical examination staff needs to make processing on relevant step flow rules of physical examination, and relevant information can be input on relevant software to generate physical examination rule information for standardizing physical examination flow. Or for the application scene of the registration of the doctor, the related medical staff needs to carry out standard processing on the related step flow of the registration, so that the related medical staff can input related information on related software to generate registration rule information for standard registration of the doctor.
It should be noted that, for the application scenario of digital medical treatment, different medical monitoring types may correspond to different medical systems, but these medical systems may need to use the same database, and the process rule applicable to one medical system may also be migrated to another medical system, so that the business rule can be obtained by editing the business rule information based on the rule editor.
Specifically, in the process of acquiring the business rule information, a network page can be provided based on the foreground, and medical staff can write monitoring rules on the network page; medical personnel can write rule functions using the simplest underlying syntax, where rule functions exist at minimum granularity and can be reused; for data monitoring under the same service scene, a rule set can be packed and placed, the rule set is responsible for acquiring data from a data stream, and then a rule function is calculated or called for calculation to obtain a calculation result; wherein the data flow is responsible for orchestrating the execution order and steps of the rules.
It is noted that the rules generated by the rule editor are stored in the hard disk and in the database. The file loader is responsible for loading the rule file into the execution memory; in order not to influence the data in execution, the execution file is copied to the version partition in the loading process, and the task execution version number is updated at the same time, so that the next task can be carried out in the latest version partition; the external data stream is loaded to the execution machine through the data loader, and data temporary storage processing is carried out through the data cache; the scheduler is responsible for arranging the tasks according to the execution process of the rule flow and can trigger the task to be executed; the rule loader of the computing engine is responsible for loading rules into the executor and performing rule computing processing on the incoming data stream.
By the technical scheme, the difficulty of writing the monitoring rules by medical staff is reduced, the rule structure is clearer, and the readability is enhanced; medical staff can selectively quote rules written by other experts or management staff according to the monitoring scene, so that repeated labor is reduced; rules written by medical staff can be loaded to the kernel engine in real time, release through a software flow is not needed, and the whole process is controlled by the medical staff through a platform; the layering thought of the Internet is applied to data operation, and operators do not need to be injected with a bottom layer through a technical means, so that the operation efficiency is improved; the response time from legal regulations out to the online of the matched monitoring rules is reduced.
It should be noted that, the rule editor can edit the obtained business rule information to obtain the execution business rule; and then loading the execution business rule to a preset version partition according to the file loader and updating the version number of the corresponding version partition, so that the loading of a follow-up execution task does not influence the task currently being executed, the task loading efficiency is accelerated, and the stable operation of the system is ensured.
It is noted that the external data stream may be data stored in a database or data stored in a memory; wherein the database may be a graph database; the graph database belongs to a non-relational database. The graph database is quite different from the relational database in terms of data storage, query, and data structure. The graph data structure directly stores the dependency relationships between nodes, while relational databases and other types of non-relational databases represent relationships between data in an indirect manner. The graph database stores the association between data as part of the data, labels, directions and attributes can be added to the association, and queries of other databases aiming at the relationship must be subjected to materialization operation at the runtime, which is also the reason that the graph database has great performance advantages in relation queries compared with other types of databases. The external data stream may be personal health record data, personal prescription data, personal inspection report data, or the like, which is not limited herein.
It should be noted that, based on the scheduler, the execution business rule after the version number is updated can be analyzed and processed to obtain task execution flow information; and then, calculating the external data stream according to the task execution flow information by a calculation engine to obtain a service execution result. For the application scene of the intelligent inquiry, the intelligent inquiry rule information can be firstly obtained, and then the intelligent inquiry rule information is edited based on a rule editor to obtain the intelligent inquiry execution business rule; then loading the intelligent inquiry execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition; then, based on the dispatcher, analyzing and processing the intelligent inquiry execution business rule after the version number is updated, so as to obtain intelligent inquiry execution flow information; and finally, calculating the external data stream obtained by loading according to the intelligent inquiry executing flow information by a calculation engine to obtain an intelligent inquiry executing result.
In some embodiments, as shown in fig. 2, the step S200 may include, but is not limited to, steps S210 to S220.
Step S210, analyzing the business rule information based on the rule editor to obtain rule function information, rule set information and rule flow information;
step S220, the rule function information, the rule set information and the rule flow information are integrated to obtain the execution business rule.
In the process of editing the business rule information, the rule function information, the rule set information and the rule flow information can be obtained by analyzing the business rule information based on the rule editor; and finally, integrating the rule function information, the rule set information and the rule flow information to obtain the execution business rule.
Notably, the rule function information is information of minimum granularity, and can be multiplexed; the rule set information is responsible for acquiring data from the data stream, calculating or calling a rule function to calculate so as to obtain a calculation result; the rule flow is responsible for orchestrating the execution order and steps of the rules. For the registration platform, the rule function information can be a plurality of rule information to be executed for executing remote registration, such as information registration of a doctor, evaluation of the condition of the doctor, and the like; the rule set information may be a set of a plurality of rule information that need to be executed to complete remote registration; the rule flow information may be sequence information of rule information to be sequentially executed to perform remote registration. And integrating the rule function information, the rule set information and the rule flow information corresponding to the remote registration to obtain the execution business rule for completing the remote registration.
In some embodiments, as shown in fig. 3, after the step S200 is performed, steps S230 to S240 may be included, but are not limited to.
Step S230, the execution business rule is transferred to a preset database;
step S240, marking processing is performed on the storage areas of the database storing the execution business rules, so that the corresponding storage areas carry marking information.
It should be noted that, after the rule editor edits the service rule information to obtain the execution service rule, the obtained execution service rule may be transferred to a preset database; and then, marking the storage areas of the database storing the execution business rules so that the corresponding storage areas carry marking information.
Notably, the execution business rule is restored to a preset database, wherein the database can comprise a relational database and a non-relational database; and marking the storage areas stored with the execution business rule database, and preparing for subsequent execution business rule reading. The data stored in the database can be electronic personal health record data, including a series of electronic data records with preservation and investigation values, such as medical records, electrocardiograms, medical images and the like.
In some embodiments, as shown in fig. 4, the step S300 may include, but is not limited to, steps S310 to S320.
Step S310, reading and executing business rules from the corresponding storage intervals according to the marking information through the file loader;
step S320, the execution business rule is restored to the version partition, and the version number of the corresponding version partition is updated so as to make the priority of the corresponding version partition highest.
In the process of loading the execution business rule into the preset version partition based on the file loader and updating the version number of the corresponding version partition, the execution business rule is read from the corresponding storage interval according to the marking information through the file loader; and then the execution business rule is restored to the version partition, and the version number of the corresponding version partition is updated so as to ensure that the priority of the corresponding version partition is highest, thereby realizing the execution processing of the execution business rule with the highest priority at the next moment, not influencing the execution business rule currently being executed, realizing the real-time loading of the execution rule, and not needing to be issued through a software flow, and ensuring that the loading of the execution business rule is more convenient, stable and quick.
Specifically, for the application scenario of medical supervision, the medical problems fed back by the doctor are classified, and the version number of the version partition of the execution task with the highest medical problem level is updated, so that the corresponding medical problem has the highest priority and is processed preferentially.
In some embodiments, as shown in fig. 5, the step S500 may include, but is not limited to, steps S510 to S520.
Step S510, extracting rule flow information in the execution business rule based on the scheduler;
step S520, task execution flow information is constructed based on the extracted rule flow information, wherein the task execution flow information is used for representing the execution sequence of the tasks.
In the process of analyzing and processing the execution business rule after the version number is updated based on the scheduler to obtain the task execution flow information, firstly, extracting and processing rule flow information in the execution business rule based on the scheduler; and then constructing task execution flow information based on the extracted rule flow information, wherein the task execution flow information is used for representing the execution sequence of the task.
It is noted that, in the process of analyzing and processing the execution business rule after the version number is updated, firstly, extracting and processing are performed on rule flow information in the execution business rule based on the scheduler; the rule flow is responsible for arranging the execution sequence and steps of the rule; then, corresponding task execution flow information can be constructed based on the extracted rule flow information.
In some embodiments, as shown in fig. 6, the step S600 may include, but is not limited to, steps S610 to S630.
Step S610, analyzing and processing task execution flow information based on a computing engine to obtain task execution sequence information;
step S620, performing sequence arrangement processing on the external data stream according to the task execution sequence information;
step S630, according to the task execution sequence information, the external data stream after the sequence arrangement processing is sequentially calculated to obtain a service execution result.
In the process of calculating the external data stream according to the task execution flow information by the calculation engine, the task execution sequence information can be obtained by analyzing and processing the task execution flow information based on the calculation engine; then, sequentially arranging the external data stream according to the task execution sequence information; and finally, sequentially carrying out calculation processing on the external data stream subjected to the sequence arrangement processing according to the task execution sequence information to obtain a service execution result. For example, for the scene of inquiring the physical examination report, in the process of inquiring the physical examination report, firstly, the name of the physical examination personnel can be inquired, then the age of the physical examination personnel is determined, finally, the information reading is performed on a preset database, and the physical examination report of the corresponding physical examination personnel can be inquired and obtained according to the execution sequence.
In some embodiments, as shown in fig. 7, after the step S600 is performed, steps S710 to S720 may be included, but are not limited to.
Step S710, converting the service execution result into a data execution file;
step S720, feeding back the data execution file to a preset network address.
It should be noted that, after the external data stream after the sequential arrangement processing is sequentially calculated according to the task execution sequence information to obtain a service execution result, the service execution result may be converted into a data execution file, and then the data execution file is fed back to a preset network address.
Specifically, for the physical examination report query, under the condition that the query obtains the corresponding physical examination report, the physical examination report can be compressed and packaged, and then the obtained compressed package is fed back to a mailbox filled by the physical examination personnel for later examination by the physical examination personnel.
In addition, as shown in fig. 8, an embodiment of the present application further provides a data management monitoring apparatus 10 applied to a data management monitoring system, the data management monitoring system including a rule editor and an execution engine, the execution engine including a data loader, a scheduler, a calculation engine, and a file loader, the apparatus comprising:
A first processing module 100, configured to obtain business rule information;
the second processing module 200 is configured to edit the business rule information based on the rule editor to obtain an execution business rule;
the third processing module 300 is configured to load the execution service rule to a preset version partition based on the file loader and update the version number of the corresponding version partition;
a fourth processing module 400 for loading an external data stream based on a data loader;
the fifth processing module 500 is configured to perform analysis processing on the execution service rule after the version number is updated based on the scheduler to obtain task execution flow information;
the sixth processing module 600 is configured to perform, by using the computing engine, computing processing on the external data stream according to the task execution flow information to obtain a service execution result.
It should be noted that, firstly, obtaining business rule information; then editing the business rule information based on a rule editor to obtain an execution business rule; then loading the execution business rule to a preset version partition based on a file loader and updating the version number of the corresponding version partition; then loading an external data stream based on the data loader; then analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information; and finally, calculating the external data flow through a calculation engine according to the task execution flow information to obtain a service execution result. Through the technical scheme, the development process of the digital medical system is more flexible and simple, and the system development cost is well reduced. The data management monitoring system comprises a rule editor and an execution engine, wherein the execution engine comprises a data loader, a scheduler, a calculation engine and a file loader.
It is noted that the rules generated by the rule editor are stored in the hard disk and in the database. The file loader is responsible for loading the rule file into the execution memory; in order not to influence the data in execution, the execution file is copied to the version partition in the loading process, and the task execution version number is updated at the same time, so that the next task can be carried out in the latest version partition; the external data stream is loaded to the execution machine through the data loader, and data temporary storage processing is carried out through the data cache; the scheduler is responsible for arranging the tasks according to the execution process of the rule flow and can trigger the task to be executed; the rule loader of the computing engine is responsible for loading rules into the executor and performing rule computing processing on the incoming data stream.
By the technical scheme, the difficulty of writing the monitoring rules by medical staff is reduced, the rule structure is clearer, and the readability is enhanced; medical staff can selectively quote rules written by other experts or management staff according to the monitoring scene, so that repeated labor is reduced; rules written by medical staff can be loaded to the kernel engine in real time, release through a software flow is not needed, and the whole process is controlled by the medical staff through a platform; the layering thought of the Internet is applied to data operation, and medical staff does not need to be injected with a bottom layer through a technical means, so that the operation efficiency is improved; the response time from legal regulations out to the online of the matched monitoring rules is reduced.
It should be noted that, the rule editor can edit the obtained business rule information to obtain the execution business rule; and then loading the execution business rule to a preset version partition according to the file loader and updating the version number of the corresponding version partition, so that the loading of a follow-up execution task does not influence the task currently being executed, the task loading efficiency is accelerated, and the stable operation of the system is ensured.
It is noted that the external data stream may be data stored in a database or data stored in a memory; wherein the database may be a graph database; the graph database belongs to a non-relational database. The graph database is quite different from the relational database in terms of data storage, query, and data structure. The graph data structure directly stores the dependency relationships between nodes, while relational databases and other types of non-relational databases represent relationships between data in an indirect manner. The graph database stores the association between data as part of the data, labels, directions and attributes can be added to the association, and queries of other databases aiming at the relationship must be subjected to materialization operation at the runtime, which is also the reason that the graph database has great performance advantages in relation queries compared with other types of databases.
It should be noted that, based on the scheduler, the execution business rule after the version number is updated can be analyzed and processed to obtain task execution flow information; and then, calculating the external data stream according to the task execution flow information by a calculation engine to obtain a service execution result.
The specific embodiment of the data management monitoring device 10 is substantially the same as the specific embodiment of the data management monitoring method described above, and will not be described herein.
In addition, as shown in fig. 9, an embodiment of the present application further provides an electronic device 700, including: memory 720, processor 710, and computer programs stored on memory 720 and executable on processor 710.
Processor 710 and memory 720 may be connected by a bus or other means.
The non-transitory software programs and instructions required to implement the data management monitoring method of the above embodiments are stored in the memory 720, and when executed by the processor 710, the data management monitoring method of the above embodiments is performed, for example, the method steps S100 to S600 in fig. 1, the method steps S210 to S220 in fig. 2, the method steps S230 to S240 in fig. 3, the method steps S310 to S320 in fig. 4, the method steps S510 to S520 in fig. 5, the method steps S610 to S630 in fig. 6, and the method steps S710 to S720 in fig. 7 described above are performed.
The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions that are executed by a processor 710 or a controller, for example, by the processor 710 in the above-described device embodiment, which may cause the processor 710 to perform the data management monitoring method in the above-described embodiment, for example, the method steps S100 to S600 in fig. 1, the method steps S210 to S220 in fig. 2, the method steps S230 to S240 in fig. 3, the method steps S310 to S320 in fig. 4, the method steps S510 to S520 in fig. 5, the method steps S610 to S630 in fig. 6, and the method steps S710 to S720 in fig. 7 described above.
The embodiments described above may be combined, and modules with the same names may be the same or different between different embodiments.
The foregoing describes certain embodiments of the application, other embodiments being within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. Furthermore, the processes depicted in the accompanying drawings do not necessarily have to be in the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for apparatus, devices, computer readable storage medium embodiments, the description is relatively simple as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The apparatus, the device, the computer readable storage medium and the method provided by the embodiments of the present application correspond to each other, and therefore, the apparatus, the device, the non-volatile computer storage medium also have similar beneficial technical effects as those of the corresponding method, and since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the corresponding apparatus, device, and computer storage medium are not described here again.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated CircuitHardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each unit may be implemented in the same piece or pieces of software and/or hardware when implementing the embodiments of the present application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or Flash memory (Flash RAM), among others, in a computer readable medium. Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable Media, as defined herein, does not include Transitory computer-readable Media (transmission Media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relation of association objects, and indicates that there may be three kinds of relations, for example, a and/or B, and may indicate that a alone exists, a and B together, and B alone exists. Wherein A, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of the following" and the like means any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Embodiments of the application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Embodiments of the application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments of the present application are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing description is only exemplary embodiments of the application and is not intended to limit the application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (10)
1. A data management monitoring method, applied to a data management monitoring system, the data management monitoring system comprising a rule editor and an execution engine, the execution engine comprising a data loader, a scheduler, a calculation engine and a file loader, the method comprising:
acquiring business rule information;
editing the business rule information based on the rule editor to obtain an execution business rule;
loading the execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition;
loading an external data stream based on the data loader;
analyzing and processing the execution business rule after the version number is updated based on the scheduler to obtain task execution flow information;
and calculating the external data stream by the calculation engine according to the task execution flow information to obtain a service execution result.
2. The data management monitoring method according to claim 1, wherein the editing processing of the business rule information based on the rule editor results in executing a business rule, comprising:
Analyzing the business rule information based on the rule editor to obtain rule function information, rule set information and rule flow information;
and integrating the rule function information, the rule set information and the rule flow information to obtain the execution service rule.
3. The method for monitoring and controlling data management according to claim 1, wherein after the rule editor edits the business rule information to obtain the execution business rule, the method further comprises:
the execution business rule is transferred to a preset database;
and marking the storage areas of the database storing the execution business rules so that the corresponding storage areas carry marking information.
4. The data management monitoring method according to claim 3, wherein the loading the execution business rule into a preset version partition based on the file loader and updating the version number of the corresponding version partition comprises:
reading the execution business rule from the corresponding storage interval according to the marking information by the file loader;
And the execution business rule is restored to the version partition, and the version number of the corresponding version partition is updated so as to enable the priority of the corresponding version partition to be highest.
5. The method for monitoring and controlling data management according to claim 2, wherein the analyzing the execution business rule after the version number is updated based on the scheduler to obtain task execution flow information includes:
extracting the rule flow information in the execution business rule based on the scheduler;
and constructing the task execution flow information based on the rule flow information obtained through extraction, wherein the task execution flow information is used for representing the execution sequence of the task.
6. The method according to claim 1, wherein the calculating, by the calculation engine, the external data stream according to the task execution flow information to obtain a service execution result includes:
analyzing and processing the task execution flow information based on the calculation engine to obtain task execution sequence information;
sequentially arranging the external data streams according to the task execution sequence information;
And sequentially carrying out calculation processing on the external data stream subjected to the sequence arrangement processing according to the task execution sequence information to obtain the service execution result.
7. The method according to claim 1, wherein after the computing engine performs computing processing on the external data stream according to the task execution flow information to obtain a service execution result, the method further comprises:
converting the service execution result into a data execution file;
and feeding back the data execution file to a preset network address.
8. A data management monitoring device for use in a data management monitoring system, the data management monitoring system comprising a rule editor and an execution engine, the execution engine comprising a data loader, a scheduler, a calculation engine and a file loader, the device comprising:
the first processing module is used for acquiring business rule information;
the second processing module is used for editing the business rule information based on the rule editor to obtain an execution business rule;
the third processing module is used for loading the execution business rule to a preset version partition based on the file loader and updating the version number of the corresponding version partition;
A fourth processing module for loading an external data stream based on the data loader;
the fifth processing module is used for analyzing and processing the execution business rule after the version number is updated based on the dispatcher to obtain task execution flow information;
and the sixth processing module is used for calculating the external data stream according to the task execution flow information through the calculation engine to obtain a service execution result.
9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the data management monitoring method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium storing computer-executable instructions for performing the data management monitoring method according to any one of claims 1 to 7.
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