CN112768046A - Data processing method, medical management system and terminal - Google Patents
Data processing method, medical management system and terminal Download PDFInfo
- Publication number
- CN112768046A CN112768046A CN202110114287.0A CN202110114287A CN112768046A CN 112768046 A CN112768046 A CN 112768046A CN 202110114287 A CN202110114287 A CN 202110114287A CN 112768046 A CN112768046 A CN 112768046A
- Authority
- CN
- China
- Prior art keywords
- data
- graphic code
- subdata
- data packet
- terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
Abstract
The invention discloses a data processing method, which is applied to a medical management system and comprises the following steps: acquiring target log data; dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata; and displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data. The invention also discloses a medical management system and a terminal. The invention reduces the maintenance difficulty of the medical management system.
Description
Technical Field
The invention relates to the technical field of medical information management, in particular to a data processing method, a medical management system and a terminal.
Background
In recent years, with the rapid development of the medical health industry in China, particularly the influence of epidemic situations in this year, more and more new equipment, new technology and new concepts are applied to hospitals and health systems in various places. For example, the development trend of operating rooms in the core part of hospital business systems is also toward information-based and intelligent construction. Therefore, the medical management system is gradually introduced into each department of the hospital, such as the medical operating room, and the medical management system enables operating room personnel to conveniently and rapidly complete operation preparation work, reduces personnel contact, and also standardizes and manages the behavior of the operating room personnel. Maintenance of the medical management system also becomes a more critical issue.
The medical management system generates log data when in use or when a failure occurs. Due to the particularity of the hospital scene, the hospital management system has high requirements on information safety, so that the medical management system is mostly deployed in a local area network of the hospital and cannot be directly contacted with the outside. When the medical management system has a fault, maintenance personnel cannot acquire log data from the medical fault system to locate the fault, and the medical management system is difficult to maintain.
Disclosure of Invention
The invention mainly aims to provide a data processing method, a medical management system and a terminal, and aims to solve the problem of difficult maintenance of the medical management system.
In order to achieve the above object, the present invention provides a data processing method applied to a medical management system, the data processing method including the steps of:
acquiring target log data;
dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata;
and displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data.
In an embodiment, the step of displaying each of the graphic codes includes:
generating a video frame corresponding to each graphic code, and determining the display duration and the display sequence of each video frame;
generating a first video according to each video frame, the display duration corresponding to the video frame and the display sequence;
and circularly playing the first video.
In an embodiment, the step of dividing the target log data into a plurality of sub-data and generating a graphic code corresponding to each sub-data includes:
determining the maximum data capacity of the graphic code, and determining the total data volume of a data packet head and a data packet tail;
obtaining a target data volume according to the maximum data capacity and the total data volume, and segmenting the target log data according to the target data volume to obtain a plurality of subdata, wherein the data volume corresponding to the subdata is less than or equal to the target data volume;
determining a data packet header and a data packet tail corresponding to each subdata, and generating a graphic code corresponding to the subdata according to the subdata, the data packet header and the data packet tail corresponding to the subdata.
In one embodiment, the step of obtaining target log data includes:
obtaining screening conditions, wherein the screening conditions comprise start and stop time of log data, log levels and/or log types;
and acquiring target log data matched with the screening conditions in a database.
In order to achieve the above object, the present invention further provides a data processing method applied to a terminal, where the data processing method includes the following steps:
acquiring each graphic code, wherein the medical management system divides target log data into a plurality of subdata, generates a graphic code corresponding to each subdata, and displays each graphic code for the terminal to acquire each graphic code;
identifying each graphic code to obtain subdata corresponding to each graphic code;
and obtaining target log data according to the subdata and sending the target log data to a server.
In an embodiment, the step of acquiring each graphic code includes:
when a recording request is received, recording a first video played by the medical management system to obtain a second video, wherein each video frame of the first video comprises a graphic code;
and acquiring each graphic code from the second video.
In an embodiment, the step of obtaining the target log data according to the sub-data includes:
acquiring a data packet header corresponding to each subdata, wherein the graphic code is identified to obtain subdata and the data packet header corresponding to the subdata;
determining a number corresponding to each subdata according to the data packet header;
and recombining each subdata according to the number to obtain target log data.
In an embodiment, the step of identifying each of the graphic codes to obtain the sub-data corresponding to each of the graphic codes includes:
identifying the graphic code to obtain a data packet;
analyzing the data packet to obtain analyzed data;
when the analysis data comprises a data packet header, deleting the data packet header and the data packet tail in the analysis data to obtain subdata corresponding to the graphic code;
and when the analysis data does not comprise a data packet header, returning to execute the step of identifying the graphic code to obtain the data packet.
To achieve the above object, the present invention further provides a medical management system, which includes a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program, when executed by the processor, implements the steps of the data processing method as described above.
To achieve the above object, the present invention further provides a terminal, which includes a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program, when executed by the processor, implements the steps of the data processing method as described above.
According to the data processing method, the medical management system and the terminal, the medical management system obtains target log data, divides the target log data into a plurality of subdata, generates the graphic code corresponding to each subdata, and finally displays each graphic code so that the terminal can identify each graphic code to obtain target log information. According to the medical management system, the log data are divided into the plurality of subdata to generate the graphic code corresponding to each subdata, so that maintenance personnel can identify each graphic code through the terminal to obtain the completed log data, the problem of fault positioning based on the log data is facilitated for the maintenance personnel, and the maintenance difficulty of the medical management system is reduced.
Drawings
Fig. 1 is a schematic hardware configuration diagram of a medical management system/terminal according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a data processing method according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a data processing method according to a second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The main solution of the embodiment of the invention is as follows: acquiring target log data; dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata; and displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data.
According to the medical management system, the log data are divided into the plurality of subdata to generate the graphic code corresponding to each subdata, so that maintenance personnel can identify each graphic code through the terminal to obtain the completed log data, the problem of fault positioning based on the log data is facilitated for the maintenance personnel, and the maintenance difficulty of the medical management system is reduced.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of a medical management system/terminal according to an embodiment of the present invention.
As shown in fig. 1, an embodiment of the present invention relates to a medical management system or a terminal, and the medical management system or the terminal may include: a processor 101, e.g. a CPU, a communication bus 102, a memory 103. Wherein the communication bus 102 is used for enabling connection communication between these components. The memory 103 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory) such as a magnetic disk memory. The memory 103 may alternatively be a storage device separate from the aforementioned processor 101. Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the medical management system or terminal, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a processing program may be included in the memory 103, which is a kind of computer storage medium.
In the apparatus shown in fig. 1, the processor 101 may be configured to call a handler stored in the memory 103 and perform the following operations:
acquiring target log data;
dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata;
and displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
generating a video frame corresponding to each graphic code, and determining the display duration and the display sequence of each video frame;
generating a first video according to each video frame, the display duration corresponding to the video frame and the display sequence;
and circularly playing the first video.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
determining the maximum data capacity of the graphic code, and determining the total data volume of a data packet head and a data packet tail;
obtaining a target data volume according to the maximum data capacity and the total data volume, and segmenting the target log data according to the target data volume to obtain a plurality of subdata, wherein the data volume corresponding to the subdata is less than or equal to the target data volume;
determining a data packet header and a data packet tail corresponding to each subdata, and generating a graphic code corresponding to the subdata according to the subdata, the data packet header and the data packet tail corresponding to the subdata.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
obtaining screening conditions, wherein the screening conditions comprise start and stop time of log data, log levels and/or log types;
and acquiring target log data matched with the screening conditions in a database.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
acquiring each graphic code, wherein the medical management system divides target log data into a plurality of subdata, generates a graphic code corresponding to each subdata, and displays each graphic code for the terminal to acquire each graphic code;
identifying each graphic code to obtain subdata corresponding to each graphic code;
and obtaining target log data according to the subdata and sending the target log data to a server.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
when a recording request is received, recording a first video played by the medical management system to obtain a second video, wherein each video frame of the first video comprises a graphic code;
and acquiring each graphic code from the second video.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
acquiring a data packet header corresponding to each subdata, wherein the graphic code is identified to obtain subdata and the data packet header corresponding to the subdata;
determining a number corresponding to each subdata according to the data packet header;
and recombining each subdata according to the number to obtain target log data.
In one embodiment, the processor 101 may call a handler stored in the memory 103, and further perform the following operations:
identifying the graphic code to obtain a data packet;
analyzing the data packet to obtain analyzed data;
when the analysis data comprises a data packet header, deleting the data packet header and the data packet tail in the analysis data to obtain subdata corresponding to the graphic code;
and when the analysis data does not comprise a data packet header, returning to execute the step of identifying the graphic code to obtain the data packet.
According to the scheme, the medical management system acquires the target log data, divides the target log data into a plurality of subdata, generates the graphic code corresponding to each subdata, and finally displays each graphic code for the terminal to recognize each graphic code to obtain the target log information. According to the medical management system, the log data are divided into the plurality of subdata to generate the graphic code corresponding to each subdata, so that maintenance personnel can identify each graphic code through the terminal to obtain the completed log data, the problem of fault positioning based on the log data is facilitated for the maintenance personnel, and the maintenance difficulty of the medical management system is reduced.
Based on the hardware architecture of the medical management system, the embodiment of the data processing method is provided.
Referring to fig. 2, fig. 2 is a first embodiment of the data processing method of the present invention, which includes the following steps:
step S201, acquiring target log data;
in the present embodiment, the execution subject is a medical management system. The medical management system may be an operating room medical action management system or other medical management systems. The operating room medical treatment behavior management system is a software and hardware combined integrated intelligent application system, and realizes the safety access control of operating room personnel based on the RFID technology of the Internet of things and the operation management flow and standard requirements of operating rooms of hospitals, including but not limited to intelligent issuing of operating clothes, shoes and hats, intelligent recovery and application tracing, an intelligent comprehensive operation management system serving the medical personnel and the managers in the operating rooms is constructed, the safety and cleanliness of the operating rooms are ensured to the maximum extent, and meanwhile, the whole operation efficiency of the operating rooms is greatly improved.
The medical management system comprises but is not limited to a behavior management module, a log management module, a UI display module and a graphic code generation module. The graphic code generation module can generate a two-dimensional code or a bar code, etc. The behavior management module completes main business logic of the medical management system, runs a management flow, standardizes behaviors of the operating room of the hospital and improves the overall operation efficiency of the operating room.
The log management module is used for recording and managing the operation condition of the operating room behavior management system, and comprises but is not limited to user behavior operation records, user abnormal operation alarm records, and medical management system terminal abnormal and fault records. The log management module stores the log data to a designated position, so that the log data can be conveniently checked.
The UI interface display module is a human-computer interaction module which is used for assisting a user to finish the operation process of an operating room and can display log data and graphic codes corresponding to the log data, so that the user can finish the extraction of the log data by scanning the graphic codes.
The graphic code generating module is an important module for log data transmission, transfers log data from one application program to another application program, and when a user selects to extract a designated log, the graphic code generating module divides the screened log data into a plurality of data packets and encrypts each data packet according to a specific encoding mode to generate a graphic code.
And the medical management system terminal records log data. When the medical management system terminal is abnormal, the log management module automatically generates log data to record the current abnormality. Log data includes, but is not limited to, device number, log level, log time, exception category, log content, and the like. The log level is used for dividing log types, such as debugging, warning, error and the like, so as to facilitate user screening extraction. The log time is the actual time of log record and records the time point of occurrence of the abnormity. The exception category will subdivide the error types of the exceptions including, but not limited to, network exceptions, initialization exceptions, and the like. The log content is the description of the log, describing the current recording situation.
For ease of description, the system is referred to below as a medical management system. Specifically, in the actual operation process, when external personnel of the hospital needs to acquire specific data, target log data can be acquired from a specified position directly of the system, or when the system is abnormal, log information corresponding to the abnormality is extracted as the target log data. The external personnel can be developers of the system, and the specific data is operation and maintenance data of the system for the developers; if the external personnel can also be maintenance personnel, the specific data is fault data of the system with abnormity; alternatively, the external person may be a medical person outside the hospital, and the specific data may be data for recording a medical procedure. The external personnel need to be authorized by the system to extract data from the system, that is, when the external personnel inputs information for screening data to the system or sends a data acquisition request to the system, the system needs to verify whether the external personnel has the acquisition right, and if the external personnel has the acquisition right, the system acquires the data requested to be acquired by the external personnel and takes the data as target log data.
Step S202, dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata;
after the system obtains the target log data, the target log data is divided into a plurality of subdata. The system may divide the target log data according to a fixed data amount, thereby obtaining a plurality of sub data having a data amount of the fixed data amount and a sub data smaller than the fixed data amount.
After the system obtains each subdata, a graphic code corresponding to each subdata is generated. The graphic code may be a bar code or a two-dimensional code. Specifically, the system encodes the sub-data based on a preset encoding mode to generate a graph code corresponding to the sub-data, and when the graph code is generated, the system needs to determine a segmentation order or number of each sub-data, and encode the segmentation order and the sub-data to obtain the graph code, so that the graph code is identified to obtain the segmentation order or number of the sub-data, and further, the obtained sub-data is recombined based on the segmentation order or number to obtain the target log data.
It should be noted that the system can generate the sub-data into the two-dimensional Code of the QR Code (Quick Response Code), the two-dimensional Code is a matrix two-dimensional Code symbol, and the system has the advantages of large information capacity, high reliability, capability of representing various character information of Chinese characters and images, strong security and anti-counterfeiting performance and the like besides the one-dimensional bar Code and other two-dimensional bar codes.
And step S203, displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data.
And after the system generates the graphic code corresponding to each subdata, displaying each graphic code. The display mode can be that all the graphic codes are displayed on the display screen or that all the graphic codes are displayed in sequence. The user can identify each graphic code through the identification function of the terminal to obtain the subdata corresponding to each graphic code and the segmentation sequence or number corresponding to the subdata. The system recombines each subdata based on the number or the segmentation sequence of each subdata, so as to obtain target log data. The user may be a maintenance person, thereby reducing the difficulty of maintaining the medical management system.
In addition, the user can be an openman, and the terminal can send target log information to the server after obtaining the target log data, so that a maintenance worker can log in the server to inquire about faults of the medical management system. Specifically, the server receives target log data uploaded by the terminal, and stores and classifies the target log data after analyzing the target log data. The server comprises a network module, a log management module and a data storage module.
The network module is used for receiving the target log data uploaded by the terminal.
And the log management module is used for analyzing the last target log data of the terminal, automatically classifying and storing the target log data into the server, and providing maintenance personnel for checking the target log data.
The data storage module is used for storing target log data uploaded by the terminal.
And after receiving the target log data, the server network receiving module automatically classifies the target log data according to the log category and the occurrence time. The classification method includes, but is not limited to, classifying according to conditions such as time, equipment number, log category and the like, then the server stores the classified logs into the server through the data storage module, and maintenance personnel can check related log data through the equipment number, the time and the log type and rapidly troubleshoot the fault problem of the medical management system.
In the technical scheme provided by this embodiment, the medical management system obtains target log data, divides the target log data into a plurality of subdata, generates a graphic code corresponding to each subdata, and finally displays each graphic code for the terminal to recognize each graphic code to obtain target log information. According to the medical management system, the log data are divided into the plurality of subdata to generate the graphic code corresponding to each subdata, so that maintenance personnel can identify each graphic code through the terminal to obtain the completed log data, the problem of fault positioning based on the log data is facilitated for the maintenance personnel, and the maintenance difficulty of the medical management system is reduced.
In one embodiment, step S203 includes:
generating a video frame corresponding to each graphic code, and determining the display duration and the display sequence of each video frame;
generating a first video according to each video frame, the display duration corresponding to the video frame and the display sequence;
and circularly playing the first video.
After the system obtains each graphic code, each graphic code is made into a video frame, namely one graphic code corresponds to one video frame. When the system generates the graphic code, the dividing sequence or the number of the subdata corresponding to the graphic code can be known, and the device can determine the display sequence corresponding to the graphic code based on the dividing sequence or the number. For example, if the sub-data is obtained by the fourth division, the display order of the video frames generated by the graphic code of the sub-data is 4. The system is provided with FPS (Frames Per Second), that is, the number of video Frames Per Second transmitted by the system. The FPS may be the maximum FPS of the system. The system determines a display duration of the video frame based on the FPS. For example, the FPS is 60 frames/second, and the display duration of each video frame is 1/60 seconds.
The system sorts the video frames based on the display sequence of the video frames, and sets the display duration corresponding to the sorted video frames, thereby generating a first video. The system is playing the first video. In order to enable the terminal to acquire the graphic code in its entirety. The first video may be played in a loop.
In the technical scheme provided by this embodiment, the medical management system generates a video frame corresponding to each graphic code, determines the display duration and the display sequence of each video frame, and generates a video through each video frame, the display duration and the display sequence corresponding to the video frame, so as to cyclically play the video, so that the terminal can extract the subdata of each graphic code in a full view to obtain target log data.
In one embodiment, step S202 includes:
determining the maximum data capacity of the graphic code, and determining the total data volume of a data packet head and a data packet tail;
obtaining a target data volume according to the maximum data capacity and the total data volume, and segmenting the target log data according to the target data volume to obtain a plurality of subdata, wherein the data volume corresponding to the subdata is less than or equal to the target data volume;
determining a data packet header and a data packet tail corresponding to each subdata, and generating a graphic code corresponding to the subdata according to the subdata, the data packet header and the data packet tail corresponding to the subdata.
In this embodiment, after the system is divided to obtain the sub-data, a dividing sequence or a number of the sub-data is determined, the number or the dividing sequence is used as a data packet header, and a corresponding data packet tail is set for the sub-data, and the sub-data is used as data content, so that a data packet is formed by the data packet header, the sub-data, and the data packet tail, and then the data packet is encoded to obtain a graphic code corresponding to the sub-data. The image code has a certain data capacity, and the data amount of the data packet header and the data packet tail is fixed, so that the amount of the divided sub-data has an upper limit value.
And finally, dividing the target log data based on the target data volume to obtain a plurality of subdata, wherein the data volume of each subdata is less than or equal to the target data volume. The system then determines a data packet header and a data packet tail corresponding to each subdata, and finally generates a graphic code corresponding to the subdata based on the subdata, the data packet tail corresponding to the subdata and the data packet header.
In the technical scheme provided by this embodiment, the system obtains the target data volume based on the maximum data capacity of the graphic code, so that the sub-data segmented from the target log data can successfully generate the graphic code, and the problem that the segmented sub-data needs to be secondarily segmented due to the excessively large data volume is avoided.
In one embodiment, step S201 includes:
obtaining screening conditions, wherein the screening conditions comprise start and stop time of log data, log levels and/or log types;
and acquiring target log data matched with the screening conditions in a database.
In this embodiment, when the user needs to obtain log data, the user inputs a filtering condition to the system. The screening conditions include, but are not limited to, start and end times of log data, log level, log type. And the system searches the log data matched with the screening condition in the database to be used as target log data. According to the method and the device, the target log data are obtained through the screening conditions, so that too much useless information can be avoided being called, the influence on the transmission rate is reduced, and the problem can be found more quickly by developers.
Referring to fig. 3, fig. 3 is a diagram of a second embodiment of the data processing method of the present invention, applied to a terminal, the data processing method including the following steps:
step S301, obtaining each graphic code, wherein the medical management system divides target log data into a plurality of subdata, generates a graphic code corresponding to each subdata, and displays each graphic code for the terminal to obtain each graphic code;
in this embodiment, the execution subject is a terminal. The APP with the identification graph codes is loaded on the terminal, and the terminal can identify each graph code displayed by the medical management system through the APP. The terminal can be a mobile phone and other devices. The terminal is a terminal for scanning graphic codes by a user and is used for collecting abnormal log data, and the terminal comprises but is not limited to a UI display module, a graphic code identification module, a data combination module, a network module, a video analysis module and the like.
The UI display module is a terminal and user man-machine interaction module and assists a user in completing business logic. The graphic code identification module is used for identifying the graphic code displayed by the medical management system. And the data combination module recombines all the identified sub-data into complete log data according to the packet header.
And the network module sends the combined log data to a server to complete data transmission.
The video analysis module is used for analyzing the transmission of a larger file by using a video recording method, a user introduces the video of the graphic code, the video analysis module analyzes all the graphic code frames frame by frame and then transmits each frame of the graphic code to the graphic code identification module for identifying data.
After the medical management system obtains the target log data, the target log data are divided into a plurality of subdata, a graphic code corresponding to each subdata is generated, and each graphic code is displayed for the terminal to obtain each graphic code. The specific processes of obtaining and dividing the target log data and generating the graphic code by the sub-data refer to the above description, and are not described herein again.
The terminal can acquire each graphic code displayed by the medical management system through the shooting function.
Step S302, identifying each graphic code to obtain subdata corresponding to each graphic code;
step S303, obtaining target log data according to the subdata and sending the target log data to a server.
After the terminal obtains each graphic code, the APP is adopted to identify each graphic code, and therefore subdata corresponding to each graphic code is obtained. The graphic code also stores the dividing sequence or number corresponding to the subdata. After the terminal identifies the graph code, the terminal can obtain the subdata and the segmentation sequence or the number corresponding to the subdata, and the terminal recombines the subdata based on the segmentation sequence or the number to obtain target log data.
And after the terminal obtains the target log data, the target log data are sent to the server, so that maintenance personnel can conveniently log in the server to inquire about the fault of the medical management system. Specifically, the server receives target log data uploaded by the terminal, and stores and classifies the target log data after analyzing the target log data. The server comprises a network module, a log management module and a data storage module.
The network module is used for receiving the target log data uploaded by the terminal.
And the log management module is used for analyzing the last target log data of the terminal, automatically classifying and storing the target log data into the server, and providing maintenance personnel for checking the target log data.
The data storage module is used for storing target log data uploaded by the terminal.
And after receiving the target log data, the server network receiving module automatically classifies the target log data according to the log category and the occurrence time. The classification method includes, but is not limited to, classifying according to conditions such as time, equipment number, log category and the like, then the server stores the classified logs into the server through the data storage module, and maintenance personnel can check related log data through the equipment number, the time and the log type and rapidly troubleshoot the fault problem of the medical management system.
In the technical scheme provided by this embodiment, the terminal acquires each graphic code, identifies each graphic code to obtain sub-data corresponding to each graphic code, and obtains target log data according to each word number, thereby sending the target log data to the server. The terminal obtains the target log data from each graphic code displayed by the medical management system, so that maintenance personnel can conveniently locate the fault problem based on the log data, and the maintenance difficulty of the medical management system is reduced.
In one embodiment, step S301 includes:
when a recording request is received, recording a first video played by the medical management system to obtain a second video, wherein each video frame of the first video comprises a graphic code;
and acquiring each graphic code from the second video.
In this embodiment, for larger log data, the terminal may record each graphic code into a video in a video recording manner and then analyze the video. Specifically, the user may perform a recording operation at the terminal, so that the terminal receives the recording request. And the terminal records the first video played by the medical management system to obtain a second video. Each video frame of the first video comprises a graphics code. The first video can be generated according to the above description, and details are not repeated here. And the terminal acquires each graphic code from the recorded second video.
In this embodiment, the terminal records the second video, so that the user does not need to wait for a long time for the terminal to scan and identify the subdata corresponding to the graph code.
In one embodiment, step S303 includes:
acquiring a data packet header corresponding to each subdata, wherein the graphic code is identified to obtain subdata and the data packet header corresponding to the subdata;
determining a number corresponding to each subdata according to the data packet header;
and recombining each subdata according to the number to obtain target log data.
In this embodiment, the graphic code has sub-data as data content and a division order or number as the sub-data, and the division order or number is included in the header of the data packet. And the terminal identifies all the graphic codes to obtain each subdata and a data packet header corresponding to the subdata. The terminal obtains the number or the segmentation order of the subdata from the data packet header. And the terminal recombines all the subdata based on the segmentation sequence or the number to obtain target log data.
In one embodiment, step S302 includes:
identifying the graphic code to obtain a data packet;
analyzing the data packet to obtain analyzed data;
when the analysis data comprises a data packet header, deleting the data packet header and the data packet tail in the analysis data to obtain subdata corresponding to the graphic code;
and when the analysis data does not comprise a data packet header, returning to execute the step of identifying the graphic code to obtain the data packet.
In this embodiment, the medical management system displays each graphic code in sequence, and the terminal recognizes when the graphic code is scanned. Due to the influence of external environmental factors and the performance of the terminal, the terminal does not necessarily complete the identification of the graphic code in a short time period. If the data packet header is obtained by identifying the graphic code, the graphic code can be determined to be identified, and the terminal identifies the next graphic code. If the identification graphic code does not obtain the data packet header, the graphic code is not identified, the terminal records the graphic code which is not identified, and after the medical management system displays the graphic code again, the terminal identifies the graphic code again.
In this regard, the terminal identifies the graphic code to obtain a data packet. And the terminal analyzes the data packet to obtain analysis data. And if the analysis data comprises the data packet header, deleting the data packet header and the data packet tail in the analysis data to obtain the subdata corresponding to the graphic code. If the data packet head is not included in the analysis data, returning to the step of identifying the graphic code to obtain the data packet until the graphic code is successfully identified.
Based on the above embodiments, the data processing method of the present invention is briefly described, specifically referring to the following steps:
1. the medical management system acquires target log data based on the input screening conditions;
2. the medical management system obtains a target data volume based on the maximum data capacity and the total data volume (the total data volume of a data packet head and a data packet tail) of the graphic code, and divides the target log data to obtain sub data of which the data volume is less than or equal to the target data volume;
3. the medical management system determines a data packet head of the subdata based on the dividing sequence or the set number of the subdata, generates a data packet tail of the subdata, generates a data packet from the subdata, the data packet head and the data packet tail, and encodes the data packet to obtain a graphic code corresponding to the subdata;
4. the medical management system generates a first video based on each graphic code and circularly plays the first video;
5. the terminal scans or records the first video played by the medical management system to obtain a second video, so as to obtain each graphic code, identifies each graphic code, and obtains subdata and a segmentation sequence or a number corresponding to the subdata;
6. the terminal recombines each subdata based on the segmentation sequence or the number to obtain target log data;
7. the terminal sends the target log data to the server, so that the server stores and classifies the target log information, and a maintenance worker can conveniently log in the server to obtain the target log data to position the abnormal problem of the medical management system.
The invention provides a medical management system, which comprises a memory, a processor and a processing program stored in the memory and capable of running on the processor, wherein the processing program realizes the steps of the data processing method according to the embodiment when being executed by the processor.
The present invention provides a terminal, which includes a memory, a processor, and a processing program stored in the memory and executable on the processor, wherein the processing program, when executed by the processor, implements the steps of the data processing method according to the above embodiments.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A data processing method is applied to a medical management system, and comprises the following steps:
acquiring target log data;
dividing target log data into a plurality of subdata and generating a graphic code corresponding to each subdata;
and displaying each graphic code so that the terminal can identify each graphic code to obtain the target log data.
2. The data processing method of claim 1, wherein the step of displaying each of the graphic codes comprises:
generating a video frame corresponding to each graphic code, and determining the display duration and the display sequence of each video frame;
generating a first video according to each video frame, the display duration corresponding to the video frame and the display sequence;
and circularly playing the first video.
3. The data processing method of claim 1, wherein the step of dividing the target log data into a plurality of sub-data and generating the graphic code corresponding to each sub-data comprises:
determining the maximum data capacity of the graphic code, and determining the total data volume of a data packet head and a data packet tail;
obtaining a target data volume according to the maximum data capacity and the total data volume, and segmenting the target log data according to the target data volume to obtain a plurality of subdata, wherein the data volume corresponding to the subdata is less than or equal to the target data volume;
determining a data packet header and a data packet tail corresponding to each subdata, and generating a graphic code corresponding to the subdata according to the subdata, the data packet header and the data packet tail corresponding to the subdata.
4. The data processing method of any of claims 1-3, wherein the step of obtaining target log data comprises:
obtaining screening conditions, wherein the screening conditions comprise start and stop time of log data, log levels and/or log types;
and acquiring target log data matched with the screening conditions in a database.
5. A data processing method is applied to a terminal, and the data processing method comprises the following steps:
acquiring each graphic code, wherein the medical management system divides target log data into a plurality of subdata, generates a graphic code corresponding to each subdata, and displays each graphic code for the terminal to acquire each graphic code;
identifying each graphic code to obtain subdata corresponding to each graphic code;
and obtaining target log data according to the subdata and sending the target log data to a server.
6. The data processing method of claim 5, wherein the step of acquiring each graphic code comprises:
when a recording request is received, recording a first video played by the medical management system to obtain a second video, wherein each video frame of the first video comprises a graphic code;
and acquiring each graphic code from the second video.
7. The data processing method of claim 5, wherein the step of obtaining target log data from each of the sub-data comprises:
acquiring a data packet header corresponding to each subdata, wherein the graphic code is identified to obtain subdata and the data packet header corresponding to the subdata;
determining a number corresponding to each subdata according to the data packet header;
and recombining each subdata according to the number to obtain target log data.
8. The data processing method of any one of claims 5 to 7, wherein the step of identifying each of the graph codes to obtain the sub-data corresponding to each of the graph codes comprises:
identifying the graphic code to obtain a data packet;
analyzing the data packet to obtain analyzed data;
when the analysis data comprises a data packet header, deleting the data packet header and the data packet tail in the analysis data to obtain subdata corresponding to the graphic code;
and when the analysis data does not comprise a data packet header, returning to execute the step of identifying the graphic code to obtain the data packet.
9. A medical management system, characterized in that it comprises a memory, a processor and a processing program stored in said memory and executable on said processor, said processing program, when executed by said processor, implementing the steps of the data processing method according to any one of claims 1 to 4.
10. A terminal, characterized in that the terminal comprises a memory, a processor and a processing program stored in the memory and executable on the processor, the processing program, when executed by the processor, implementing the steps of the data processing method according to any of claims 5-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110114287.0A CN112768046A (en) | 2021-01-27 | 2021-01-27 | Data processing method, medical management system and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110114287.0A CN112768046A (en) | 2021-01-27 | 2021-01-27 | Data processing method, medical management system and terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112768046A true CN112768046A (en) | 2021-05-07 |
Family
ID=75706279
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110114287.0A Pending CN112768046A (en) | 2021-01-27 | 2021-01-27 | Data processing method, medical management system and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112768046A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113282558A (en) * | 2021-05-25 | 2021-08-20 | 深圳Tcl新技术有限公司 | Log collection method and device, storage medium and electronic equipment |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1760900A (en) * | 2004-10-15 | 2006-04-19 | 中央电视台 | Assets management system for broadcast television media, and method of adjust and control |
| US20100161345A1 (en) * | 2008-12-23 | 2010-06-24 | Integrated Surgical Solutions, Llc | Medical data tracking, analysis and aggregation system |
| CN102831163A (en) * | 2012-07-20 | 2012-12-19 | 江苏缨思贝睿物联网科技有限公司 | Data transfer method and data transfer system |
| CN103686094A (en) * | 2014-01-01 | 2014-03-26 | 中安消技术有限公司 | Video monitoring log generating method and video monitoring log generating system |
| CN104392129A (en) * | 2014-11-22 | 2015-03-04 | 张姬娟 | Data processing system and method |
| CN104408304A (en) * | 2014-11-22 | 2015-03-11 | 张姬娟 | Medical terminal and data processing method |
| KR20150124183A (en) * | 2014-04-28 | 2015-11-05 | 주식회사 젠탑스 | Life Log Device Comprising Record-Preventing Function and Method thereof |
| US9288510B1 (en) * | 2014-05-22 | 2016-03-15 | Google Inc. | Adaptive video transcoding based on parallel chunked log analysis |
| CN106331189A (en) * | 2015-06-18 | 2017-01-11 | 中兴通讯股份有限公司 | Log acquisition method and device, and network management server |
| CN107124596A (en) * | 2017-06-08 | 2017-09-01 | 哈尔滨理工大学 | A kind of B ultrasound video acquisition and mobile terminal shared system and method |
| CN107240057A (en) * | 2017-05-24 | 2017-10-10 | 南京金盾公共安全技术研究院有限公司 | Video monitoring residence management system and management method based on Quick Response Code |
| CN109089055A (en) * | 2018-06-05 | 2018-12-25 | 李志朋 | A kind of production video clip acquisition methods and system |
| CN109658319A (en) * | 2017-10-10 | 2019-04-19 | 南京百利通信息技术有限责任公司 | Overall process video-with-audio recording system and application method based on two-dimensional code scanning identification |
| CN109901972A (en) * | 2019-02-27 | 2019-06-18 | 苏州浪潮智能科技有限公司 | A kind of monitoring journal obtaining method, device, equipment and medium based on BMC |
| CN110764945A (en) * | 2019-10-23 | 2020-02-07 | 北京博睿宏远数据科技股份有限公司 | Crash log processing method, device, equipment and storage medium |
| CN111177013A (en) * | 2020-01-06 | 2020-05-19 | 北京达佳互联信息技术有限公司 | Log data acquisition method and device, computer equipment and storage medium |
| CN111400378A (en) * | 2020-02-18 | 2020-07-10 | 中国平安人寿保险股份有限公司 | Real-time log display method and device based on ElasticSearch, computer equipment and medium |
| CN112035329A (en) * | 2020-09-17 | 2020-12-04 | 中国银行股份有限公司 | Method and device for acquiring application log of mobile terminal, computer equipment and medium |
| CN112162965A (en) * | 2020-10-12 | 2021-01-01 | 平安科技（深圳）有限公司 | Log data processing method and device, computer equipment and storage medium |
| CN112188200A (en) * | 2020-09-30 | 2021-01-05 | 深圳壹账通智能科技有限公司 | Image processing method, device, equipment and storage medium |
| CN112187513A (en) * | 2020-08-31 | 2021-01-05 | 四川羽影医疗科技有限公司 | Medical Internet of things cloud platform method and system based on big data and storage medium |
-
2021
- 2021-01-27 CN CN202110114287.0A patent/CN112768046A/en active Pending
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1760900A (en) * | 2004-10-15 | 2006-04-19 | 中央电视台 | Assets management system for broadcast television media, and method of adjust and control |
| US20100161345A1 (en) * | 2008-12-23 | 2010-06-24 | Integrated Surgical Solutions, Llc | Medical data tracking, analysis and aggregation system |
| CN102831163A (en) * | 2012-07-20 | 2012-12-19 | 江苏缨思贝睿物联网科技有限公司 | Data transfer method and data transfer system |
| CN103686094A (en) * | 2014-01-01 | 2014-03-26 | 中安消技术有限公司 | Video monitoring log generating method and video monitoring log generating system |
| KR20150124183A (en) * | 2014-04-28 | 2015-11-05 | 주식회사 젠탑스 | Life Log Device Comprising Record-Preventing Function and Method thereof |
| US9288510B1 (en) * | 2014-05-22 | 2016-03-15 | Google Inc. | Adaptive video transcoding based on parallel chunked log analysis |
| CN104392129A (en) * | 2014-11-22 | 2015-03-04 | 张姬娟 | Data processing system and method |
| CN104408304A (en) * | 2014-11-22 | 2015-03-11 | 张姬娟 | Medical terminal and data processing method |
| CN106331189A (en) * | 2015-06-18 | 2017-01-11 | 中兴通讯股份有限公司 | Log acquisition method and device, and network management server |
| CN107240057A (en) * | 2017-05-24 | 2017-10-10 | 南京金盾公共安全技术研究院有限公司 | Video monitoring residence management system and management method based on Quick Response Code |
| CN107124596A (en) * | 2017-06-08 | 2017-09-01 | 哈尔滨理工大学 | A kind of B ultrasound video acquisition and mobile terminal shared system and method |
| CN109658319A (en) * | 2017-10-10 | 2019-04-19 | 南京百利通信息技术有限责任公司 | Overall process video-with-audio recording system and application method based on two-dimensional code scanning identification |
| CN109089055A (en) * | 2018-06-05 | 2018-12-25 | 李志朋 | A kind of production video clip acquisition methods and system |
| CN109901972A (en) * | 2019-02-27 | 2019-06-18 | 苏州浪潮智能科技有限公司 | A kind of monitoring journal obtaining method, device, equipment and medium based on BMC |
| CN110764945A (en) * | 2019-10-23 | 2020-02-07 | 北京博睿宏远数据科技股份有限公司 | Crash log processing method, device, equipment and storage medium |
| CN111177013A (en) * | 2020-01-06 | 2020-05-19 | 北京达佳互联信息技术有限公司 | Log data acquisition method and device, computer equipment and storage medium |
| CN111400378A (en) * | 2020-02-18 | 2020-07-10 | 中国平安人寿保险股份有限公司 | Real-time log display method and device based on ElasticSearch, computer equipment and medium |
| CN112187513A (en) * | 2020-08-31 | 2021-01-05 | 四川羽影医疗科技有限公司 | Medical Internet of things cloud platform method and system based on big data and storage medium |
| CN112035329A (en) * | 2020-09-17 | 2020-12-04 | 中国银行股份有限公司 | Method and device for acquiring application log of mobile terminal, computer equipment and medium |
| CN112188200A (en) * | 2020-09-30 | 2021-01-05 | 深圳壹账通智能科技有限公司 | Image processing method, device, equipment and storage medium |
| CN112162965A (en) * | 2020-10-12 | 2021-01-01 | 平安科技（深圳）有限公司 | Log data processing method and device, computer equipment and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113282558A (en) * | 2021-05-25 | 2021-08-20 | 深圳Tcl新技术有限公司 | Log collection method and device, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106844217B (en) | Method and device for embedding point of applied control and readable storage medium | |
| US8332765B2 (en) | Problem reporting system based on user interface interactions | |
| WO2018120721A1 (en) | Method and system for testing user interface, electronic device, and computer readable storage medium | |
| US8396964B2 (en) | Computer application analysis | |
| CN101489073B (en) | Information processing device, information processing method | |
| CN107870849B (en) | Processing method and device of test log | |
| CN112306982B (en) | Abnormal user detection method and device, computing equipment and storage medium | |
| CN111552633A (en) | Interface abnormal call testing method and device, computer equipment and storage medium | |
| CN110554962A (en) | Regression testing process covering method, server and computer readable storage medium | |
| US20080005746A1 (en) | Methods for enabling an application within another independent system/application in medical imaging | |
| CN111309505A (en) | Page exception handling method and device and electronic equipment | |
| CN110471945B (en) | Active data processing method, system, computer equipment and storage medium | |
| CN110336791B (en) | Method, device and equipment for transmitting breakpoint data and computer storage medium | |
| CN112768046A (en) | Data processing method, medical management system and terminal | |
| CN111966339B (en) | Buried point parameter input method and device, computer equipment and storage medium | |
| CN110602483B (en) | Video fault determination method, device and computer readable storage medium | |
| CN107908525A (en) | Alert processing method, equipment and readable storage medium storing program for executing | |
| CN104471531A (en) | Capturing an application state in a conversation | |
| CN115237716A (en) | Event recording and statistical method and device for operating system | |
| CN113382268B (en) | Live broadcast anomaly analysis method, live broadcast anomaly analysis device, computer equipment and storage medium | |
| US20220107859A1 (en) | Method and system for determining root cause of anomalous events | |
| CN112131611A (en) | Data correctness verification method, device, equipment, system and storage medium | |
| CN105827447A (en) | Service alarm method and apparatus | |
| CN112364714A (en) | Face recognition method and device, computer equipment and storage medium | |
| CN112000559A (en) | Abnormal equipment detection method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |