Medical supply chain data visualization method and device and electronic equipment

Abstract

The invention provides a medical supply chain data visualization method and device and electronic equipment, and relates to the technical field of display.The method comprises the steps that multiple data sources are integrated, medical supply chain data are obtained from the multiple data sources in real time through a Spring collector, and the multiple data sources comprise a webpage and a database; receiving a display request of a user by utilizing a pre-designed interactive user interface; in response to the display request, performing visualization processing on data corresponding to the display request in medical supply chain data acquired in real time to generate a data visualization chart; and displaying the data visualization chart on the digital large screen in real time. The real-time performance and accuracy of the data can be ensured by acquiring the medical supply chain data in real time, the real-time visual display of the data is realized by displaying the data visual chart, and the problem that the real-time display of the data cannot be realized by a digital large screen in the related technology is solved.

Description

Technical Field

[0001] The present disclosure relates to the field of display technology, and in particular to a medical supply chain data visualization method, device and electronic equipment. Background Art

[0002] At present, existing digital large screens mostly rely on static content when displaying data, which cannot achieve real-time display of data and limits the timeliness of information display.

[0003] With regard to the problem in related technologies that large digital screens cannot display data in real time, no effective technical solution has been proposed yet. Summary of the invention

[0004] The main purpose of the present disclosure is to provide a medical supply chain data visualization method, device and electronic equipment to solve the problem in the related art that the digital large screen cannot realize real-time data display.

[0005] In order to achieve the above-mentioned purpose, the first aspect of the present disclosure provides a medical supply chain data visualization method, which is applied to a digital large screen, comprising: Integrate multiple data sources and use Spring collector to obtain medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; receiving a user's display request using a pre-designed interactive user interface; In response to the display request, visualizing the data corresponding to the display request in the medical supply chain data acquired in real time to generate a data visualization chart; The data visualization chart is displayed in real time on the digital large screen.

[0006] Optionally, before receiving a display request from a user using a pre-designed interactive user interface, the method further includes: The content on the interactive user interface is broadcasted in an AI voice broadcasting manner to facilitate user operation of the interactive user interface, wherein the interactive user interface is a user operation interface.

[0007] Optionally, the real-time display of the data visualization chart on the digital large screen includes: Remotely manage multiple digital large screens located in different locations; Control the multiple large digital screens to display the data visualization charts in real time.

[0008] Furthermore, the remote management of multiple digital large screens located at different locations includes: Remotely and dynamically updating the content displayed on the multiple digital large screens; The contents displayed by the multiple digital large screens are remotely synchronized so that the multiple digital large screens synchronously display the same contents.

[0009] Furthermore, the controlling the plurality of digital large screens to display the data visualization charts in real time includes: Controlling the plurality of digital large screens to display in real time bar graphs for comparing data of different categories; Controlling the plurality of digital large screens to display in real time a line graph for presenting a data change trend; The plurality of digital large screens are controlled to display in real time a pie chart showing the percentage of different categories of data in the whole.

[0010] Optionally, after displaying the data visualization chart in real time, the method further includes: Send data query requests to multiple integrated data sources at regular intervals; Based on the data query request, query whether the data corresponding to the displayed data visualization chart has changed in the multiple data sources; If there is a change, the data corresponding to the data visualization chart is dynamically updated, and the data visualization chart displayed in real time on the digital large screen is automatically updated.

[0011] Furthermore, if no change occurs, no processing is performed.

[0012] A second aspect of the present disclosure provides a medical supply chain data visualization device, applied to a digital large screen, comprising: An acquisition unit, used to integrate multiple data sources and use Spring collector to acquire medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; A receiving unit, used for receiving a display request from a user using a pre-designed interactive user interface; A response unit, configured to respond to the display request, perform visualization processing on the data corresponding to the display request in the medical supply chain data acquired in real time, and generate a data visualization chart; A display unit is used to display the data visualization chart in real time on the digital large screen.

[0013] A third aspect of the present disclosure provides a computer-readable storage medium storing computer instructions for causing a computer to execute the medical supply chain data visualization method provided in any one of the first aspects.

[0014] The fourth aspect of the present disclosure provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the medical supply chain data visualization method provided in any one of the first aspects.

[0015] In the medical supply chain data visualization method provided in the embodiment of the present disclosure, by integrating multiple data sources and using the Spring collector to obtain medical supply chain data from the multiple data sources in real time, the timeliness and accuracy of the medical supply chain data can be ensured; Receive a user's display request using a pre-designed interactive user interface; respond to the display request, visualize the data corresponding to the display request in the real-time acquired medical supply chain data, and generate a data visualization chart to facilitate the user to understand and analyze the data; The data visualization chart is displayed in real time on the digital large screen, realizing real-time visualization display of data, and solving the problem that the digital large screen in the related art cannot realize real-time display of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the related technologies, the drawings required for use in the specific embodiments or the related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A schematic diagram of a medical supply chain data visualization method flow chart provided in an embodiment of the present disclosure; Figure 2 A block diagram of a medical supply chain data visualization device provided in an embodiment of the present disclosure; Figure 3 A block diagram of an electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the scheme of the present disclosure, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present disclosure.

[0019] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so as to describe the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0020] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] At present, existing digital large screens mostly rely on static content when displaying data, which cannot achieve real-time display of data and limits the timeliness of information display.

[0022] In order to solve the above problems, the present disclosure provides a medical supply chain data visualization method, which is applied to a digital large screen, such as Figure 1 As shown, the method includes the following steps S11 to S14: Step S11: Integrate multiple data sources, and use Spring collector to obtain medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; Through the application programming interface (API), medical supply chain data can be obtained in real time from multiple data sources such as web pages and databases, data docking can be carried out to achieve effective data transmission, improve transmission efficiency, ensure data consistency and accuracy, so as to make decisions based on the displayed data in the future, which can improve decision-making efficiency; Using the Spring collector to obtain medical supply chain data from multiple data sources in real time can ensure the timeliness and accuracy of medical supply chain data, and can provide flexible configuration options and powerful parsing capabilities to ensure timely capture and integration of data.

[0023] Step S12: Receive a user's display request using a pre-designed interactive user interface; interact with the user through the pre-designed interactive user interface to present a user-friendly interactive interface to improve flexibility and user experience; refresh the corresponding displayed content after receiving the user's display request or performing an operation on the interactive user interface.

[0024] In an optional implementation manner of the present disclosure, before step S12, the method further includes: The content on the interactive user interface is broadcasted in an AI voice broadcasting manner to facilitate user operation of the interactive user interface, wherein the interactive user interface is a user operation interface.

[0025] The announcement is made using AI voice broadcasting, and the voice or information used in the announcement may be derived from the content of the front-end interface or data from a variety of back-end data sources, so that subsequent users can operate the interactive user interface and refresh the corresponding displayed content.

[0026] Step S13: in response to the display request, visualizing the data corresponding to the display request in the medical supply chain data acquired in real time to generate a data visualization chart; presenting the data corresponding to the display request through the data visualization chart to improve user experience and facilitate user understanding and analysis of data; Step S14: Displaying the data visualization chart in real time on the digital large screen.

[0027] The disclosed embodiments integrate multiple data sources and visualization tools to monitor each link of the medical supply chain in real time, thereby achieving real-time visualization of data and improving data transparency and decision-making efficiency, thus solving the problem in related technologies that large digital screens cannot display data in real time.

[0028] In an optional implementation manner of the present disclosure, the step S14 includes: Remotely manage multiple digital large screens located in different locations; remotely manage the content displayed on multiple digital large screens through the Internet; Control the multiple digital large screens to display the data visualization charts in real time. Centrally manage and control the multiple digital large screens.

[0029] In a preferred embodiment of the present disclosure, the remote management of multiple digital large screens located at different locations includes: Remotely and dynamically update the content displayed on the multiple digital large screens; the large screen display content can be remotely updated without on-site operation; Remotely synchronize the contents displayed by the multiple digital large screens so that the multiple digital large screens display the same content synchronously. Remotely manage and update the contents of the multiple digital large screens through the Internet to facilitate synchronous display of multiple digital large screens at different locations.

[0030] The disclosed embodiments can reduce on-site operations, lower manpower and time costs, simplify management processes, and improve the efficiency of content updating and synchronization through remote management and remote control, and can be applied to various scenarios such as corporate publicity and advertising.

[0031] In a preferred embodiment of the present disclosure, controlling the multiple digital large screens to display the data visualization charts in real time includes: Controlling the plurality of digital large screens to display in real time bar graphs for comparing data of different categories; Controlling the plurality of digital large screens to display in real time a line graph for presenting a data change trend; The plurality of digital large screens are controlled to display in real time a pie chart showing the percentage of different categories of data in the whole.

[0032] The disclosed embodiments meet different needs of users through different data visualization charts, and provide a variety of data visualization charts to facilitate users to understand and analyze data; use bar charts to compare different categories of data, use line charts to show the changing trends of data over time or other continuous variables, and use pie charts to show the proportion of different categories of data in each part in the whole.

[0033] In an optional implementation manner of the present disclosure, after the data visualization chart is displayed in real time in step S14, the method further includes: Send data query requests to multiple integrated data sources at regular intervals; that is, the front-end interface sends data query requests to multiple integrated data sources at the back-end at regular intervals; Based on the data query request, query whether the data corresponding to the displayed data visualization chart has changed in the multiple data sources; If there is a change, the data corresponding to the data visualization chart is dynamically updated, and the data visualization chart displayed in real time on the digital large screen is automatically updated. When the data corresponding to the data visualization chart changes, the data visualization chart displayed on the digital large screen is dynamically updated in real time, reducing manual operations and improving efficiency.

[0034] If there is no change, no processing is performed. When the data corresponding to the data visualization chart does not change, no operation is performed.

[0035] The medical supply chain data visualization method provided by the disclosed embodiment integrates multiple data sources and visualization tools to monitor each link of the medical supply chain in real time, update data and content displayed on a digital large screen, and realize dynamic display, interaction and visual analysis of data, thereby meeting user needs and improving data transparency and decision-making efficiency.

[0036] From the above description, it can be seen that the present disclosure achieves the following technical effects: The disclosure can ensure the timeliness and accuracy of data, and can provide flexible configuration options and powerful parsing capabilities to ensure timely capture and integration of data; Use data visualization charts to present the data corresponding to the display request, improve user experience, and make it easier for users to understand and analyze data; It realizes the real-time visual display of data, and solves the problem that the digital large screen in the related technology cannot realize the real-time display of data.

[0037] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0038] The present disclosure also provides a medical supply chain data visualization device for implementing the above method embodiment, which is applied to a digital large screen, such as Figure 2 As shown, the medical supply chain data visualization device 20 includes: An acquisition unit 21, used to integrate multiple data sources and use a Spring collector to acquire medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; A receiving unit 22, configured to receive a user's display request using a pre-designed interactive user interface; A response unit 23, configured to respond to the display request, perform visualization processing on the data corresponding to the display request in the medical supply chain data acquired in real time, and generate a data visualization chart; The display unit 24 is used to display the data visualization chart in real time on the digital large screen.

[0039] The specific manner in which each unit in the above device embodiment performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0040] The present disclosure also provides an electronic device, such as Figure 3 As shown, the electronic device includes one or more processors 31 and a memory 32. Figure 3 A processor 31 is taken as an example.

[0041] The controller may further include: an input device 33 and an output device 34 .

[0042] The processor 31, the memory 32, the input device 33 and the output device 34 may be connected via a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0043] The processor 31 may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips. The general-purpose processor may be a microprocessor or any conventional processor.

[0044] The memory 32 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as program instructions / modules corresponding to the control method in the embodiment of the present disclosure. The processor 31 executes various functional applications and data processing of the server by running the non-transient software programs, instructions and modules stored in the memory 32, that is, the medical supply chain data visualization method of the above method embodiment is realized.

[0045] The memory 32 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of a processing device operated by the server, etc. In addition, the memory 32 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 32 may optionally include a memory remotely arranged relative to the processor 31, and these remote memories may be connected to a network connection device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0046] The input device 33 can receive input digital or character information, and generate key signal input related to user settings and function control of the processing device of the server. The output device 34 can include display devices such as a display screen.

[0047] One or more modules are stored in the memory 32, and when executed by one or more processors 31, the execution is as follows: Figure 1 The method shown.

[0048] Those skilled in the art can understand that the implementation of all or part of the processes in the above method embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes in the above method embodiments. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FM), a hard disk (HDD), or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memory.

[0049] Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A medical supply chain data visualization method, characterized in that: Applied to digital large screens, including: Integrate multiple data sources and use Spring collector to obtain medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; receiving a user's display request using a pre-designed interactive user interface; In response to the display request, visualizing the data corresponding to the display request in the medical supply chain data acquired in real time to generate a data visualization chart; The data visualization chart is displayed in real time on the digital large screen.

2. The method according to claim 1, characterized in that Before receiving a user's display request using the pre-designed interactive user interface, the method further includes: The content on the interactive user interface is broadcasted in an AI voice broadcasting manner to facilitate user operation of the interactive user interface, wherein the interactive user interface is a user operation interface.

3. The method according to claim 1, characterized in that The real-time display of the data visualization chart on the digital large screen includes: Remotely manage multiple digital large screens located in different locations; Control the multiple large digital screens to display the data visualization charts in real time.

4. The method according to claim 3, characterized in that The remote management of multiple digital large screens located at different locations includes: Remotely and dynamically updating the content displayed on the multiple digital large screens; The contents displayed by the multiple digital large screens are remotely synchronized so that the multiple digital large screens synchronously display the same contents.

5. The method according to claim 3, characterized in that: The controlling the multiple digital large screens to display the data visualization charts in real time includes: Controlling the plurality of digital large screens to display in real time bar graphs for comparing data of different categories; Controlling the plurality of digital large screens to display in real time a line graph for presenting a data change trend; The plurality of digital large screens are controlled to display in real time a pie chart showing the percentage of different categories of data in the whole.

6. The method according to claim 1, characterized in that After displaying the data visualization chart in real time, the method further includes: Send data query requests to multiple integrated data sources at regular intervals; Based on the data query request, query whether the data corresponding to the displayed data visualization chart has changed in the multiple data sources; If there is a change, the data corresponding to the data visualization chart is dynamically updated, and the data visualization chart displayed in real time on the digital large screen is automatically updated.

7. The method according to claim 6, characterized in that If no change occurs, no processing is performed.

8. A medical supply chain data visualization device, characterized in that: Applied to digital large screens, including: An acquisition unit, used to integrate multiple data sources and use Spring collector to acquire medical supply chain data from the multiple data sources in real time, wherein the multiple data sources include web pages and databases; A receiving unit, used for receiving a display request from a user using a pre-designed interactive user interface; A response unit, configured to respond to the display request, perform visualization processing on the data corresponding to the display request in the medical supply chain data acquired in real time, and generate a data visualization chart; A display unit is used to display the data visualization chart in real time on the digital large screen.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the medical supply chain data visualization method described in any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the medical supply chain data visualization method described in any one of claims 1 to 7.

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