A method for thermal analysis of tasks of an automated orbital distribution system for hospital supplies

Abstract

The present invention discloses a task thermal analysis method for an automated track distribution system of hospital supplies, which relates to the field of thermal analysis. It includes an SVG device system graph, a PLC device communication module, and an SVG and flow data fusion kernel density calculation method module. For this task thermal analysis method of the automated track distribution system of hospital supplies, the communication between the upper software system and the PLC is realized, and the acquisition and storage of optoelectronic signal data are carried out. The SVG bitmap information is drawn. Different from general graphs, this graph not only supports zooming but also should carry data information, including the numbering attributes of device segments, the matching relationship between device segments and optoelectronic sensor numbers, the fusion of bitmap and point data analysis. It is necessary to convert the flow data into point data through the density analysis method and bind it to the device segments on the bitmap. It can not only display the task thermal situation of the current system but also support querying historical thermal situations. It can also play and export the thermal situation for a period of time in the way of timeline playback.

Description

Technical Field

[0001] The invention relates to the technical field of thermal analysis, and in particular to a task thermal analysis method for an automated rail distribution system for hospital materials. Background Art

[0002] New hospitals are increasingly using automated rail logistics equipment and systems to transport materials within the hospital, which has improved the automation of material distribution, improved distribution efficiency, and saved manpower. However, since rail logistics can only allow a single turnover box carrying materials to pass through the same section of track at the same time, when the volume of shipments is large and the traffic is heavy during peak hours, the processing capacity of a key hub node is insufficient, resulting in a backlog of turnover boxes on the track.

[0003] Through the thermal analysis method of the hospital material automated distribution system, the first is to intuitively reflect the thermal situation of the equipment flow task for the material sending department and equipment maintenance management, master the on-site box delivery situation, and adjust the box delivery strategy; the second is to view the thermal situation of the historical task flow through the adjustment of the time axis or automatic playback, and provide intuitive data support for the subsequent system optimization and adjustment. The existing equipment segment task quantity query method generally adopts the following steps:

[0004] 1. Manual query through SCADA data acquisition monitoring system and task query system;

[0005] 2. Select the equipment segment number in the conditions and select the time period for query;

[0006] 3. Manually count the task data queried from different equipment segments and different time periods;

[0007] Disadvantages of existing methods

[0008] The display of the task quantity by manually querying the data list is not intuitive. You can only query the task quantity statistics of one equipment segment in a time period at a time. If you want to view the task status of the entire system, you need to query and count multiple times, which is cumbersome. The non-graphical interface cannot intuitively reflect the on-site flow and thermal conditions. Summary of the invention

[0009] 1. Technical issues to be resolved

[0010] In view of the shortcomings of the prior art, the present invention discloses a task thermal analysis method for an automated rail distribution system for hospital materials, which reflects the actual capacity and flow of physical equipment through a graphical interface. It mainly solves three technical problems: drawing a rail system graph in the system through graphic drawing technology, collecting real-time data of each time a turnover box passes through the rail equipment, and displaying the collected turnover box passing data in the system graph.

[0011] (2) Technical solution

[0012] To achieve the above object, the present invention is realized through the following technical solutions: A method for task thermal analysis of an automated orbital distribution system for hospital supplies, comprising the following steps:

[0013] S1: When the material distribution turnover box passes through the equipment section, it will block the photoelectric sensor installed on the equipment section. At this time, the PLC photoelectric signal management module in the central controller of the PLC equipment will capture the signal of the photoelectric sensor;

[0014] S2: The thermal analysis system and the equipment communication module will obtain the opening and closing signals of the photoelectricity of each equipment section from the PLC, so as to know the flow situation of the turnover box on the equipment. The flow data is stored in the data server;

[0015] S3: After the SVG system bitmap obtains the flow data, it displays the thermal graphics on the bitmap according to the point data analysis.

[0016] Preferably, the central controller PLC of the equipment will capture and manage the opening and closing signals of all photoelectric sensors connected to the orbital logistics system. The PLC publishes an external communication interface and provides the captured photoelectric data to the upper data system with corresponding permissions.

[0017] Preferably, the upper system and the PLC establish communication through the OPC UA protocol, obtain the opening and closing signals of the photoelectric sensors managed by the PLC, know the turnover box flow information in the system, and the obtained flow information will be stored on the data server. The data includes: photoelectric number, photoelectric state, acquisition time, etc.

[0018] Preferably, the SVG system bitmap: uses HTML5 to draw the SVG system bitmap according to the actual situation on site. The bitmap reflects the actual installation situation of the equipment, including the number, name of each section of the equipment, and the number of the photoelectric sensor installed on the equipment section, etc.

[0019] Preferably, point data analysis: The thermal system obtains the flow information from the data server, matches the equipment section in the bitmap according to the photoelectric number in the flow information, and feeds back the actual flow situation of the turnover box in the form of the density and sparsity of points and the aggregation distribution of different colors according to the size of the flow through point data analysis

[0020] Preferably, thermal playback: Obtain the flow situation of a time period through the timeline, and automatically combine it with the SVG bitmap, which can reflect the thermal change situation in a historical period of time.

[0021] The present invention discloses a method for task thermal analysis of an automated orbital distribution system for hospital supplies, and its beneficial effects are as follows:

[0022] The communication between the upper software system and the PLC is realized, and the acquisition and storage of optoelectronic signal data, the drawing of SVG bitmap information are carried out. Different from general diagrams, this diagram not only supports zooming, but also should carry data information, including the number attributes of equipment segments, the matching relationship between equipment segments and optoelectronic sensor numbers, the fusion of bitmap and point data analysis. It is necessary to convert flow data into point data through kernel density analysis method and bind it to the equipment segments on the bitmap. It can not only display the task heat situation of the current system, but also support querying historical heat situations. It can also play and export the heat for a period of time in the way of timeline playback. Brief Description of the Drawings

[0023] Figure 1 This is the system diagram of the present invention. Detailed Implementation Modes

[0024] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirits of the present invention. The scope of the present invention is defined by the appended claims and their equivalents;

[0025] The system architecture of this system solution includes an SVG device system graph, a PLC device communication module, and an SVG and flow data fusion kernel density calculation method module;

[0026] The drawing of the in-hospital track system graph is carried out by drawing the on-site SVG device system graph through HTML5; Each small section of the track logistics is equipped with optoelectronic instruments, and each turnover box will feedback the passing signal to the central controller PLC through the optoelectronic instrument. The heat analysis system communicates with the PLC through the OPC UA protocol, obtains the turnover box passing data of each section of equipment and stores it in the database;

[0027] The heat system obtains the flow data in the database and matches it with the equipment segments of the SVG system graph, converts the flow data matched in the same time period into point data, and displays the bright and dark color changes of the equipment area highlighted in the SVG system graph in the form of kernel density, reflecting the flow situation of the turnover boxes passing through this equipment segment;

[0028] Combined with the attached drawings of the specification Figure 1 , A method for task heat analysis of an automated in-hospital material track distribution system includes the following steps:

[0029] S1: When the material distribution turnover box passes through the equipment segment, it will block the optoelectronic sensor installed on the equipment segment. At this time, the PLC optoelectronic signal management module in the central controller of the PLC device will capture the signal of the optoelectronic sensor;

[0030] S2: The thermal analysis system and the equipment communication module obtain the opening and closing signals of the photoelectric sensors in each equipment section from the PLC, thereby learning about the turnover box flow in the equipment last week, and storing the flow data in the data server.

[0031] S3: After the SVG system bitmap obtains the flow data, it displays the thermal graphics on the bitmap according to the point data analysis.

[0032] The equipment central controller PLC will manage the signal opening and closing capture of all photoelectric sensors connected to the track logistics system. The PLC publishes an external communication interface to provide the captured photoelectric data to the upper-level data system with corresponding permissions.

[0033] Communication is established between the upper-level system and the PLC through the OPC UA protocol. The opening and closing signals of the photoelectric sensors managed by the PLC are obtained to learn about the turnover box flow information in the system. The obtained flow information will be stored on the data server. The data includes: photoelectric number, photoelectric status, acquisition time, etc.

[0034] SVG system bitmap: Use HTML5 to draw the SVG system bitmap according to the actual situation on-site. The bitmap reflects the actual installation situation of the equipment, including information such as the number and name of each equipment section, and the numbers of the equipment section and the photoelectric sensors installed on it.

[0035] Point data analysis: The thermal system obtains the flow information from the data server, matches the equipment section in the bitmap according to the photoelectric number in the flow information, and through point data analysis, reflects the actual flow situation of the turnover box in the form of the density and sparsity of points and the different colors in an aggregated distribution manner according to the size of the flow.

[0036] Thermal playback: Obtain the flow situation of a period of time through the timeline, and automatically combine it with the SVG bitmap, which can reflect the thermal changes in a historical period of time.

[0037] The communication implementation between the upper-level software system and the PLC, the acquisition and storage of photoelectric signal data, and the drawing of SVG bitmap information. Different from ordinary graphs, this graph not only supports zooming, but also should carry data information, including the number attributes of the equipment sections, the matching relationship between the equipment sections and the photoelectric sensor numbers, the integration of the bitmap and point data analysis. It is necessary to convert the flow data into point data through density analysis method and bind it to the equipment sections on the bitmap. It can not only display the current thermal situation of the system task, but also support querying the historical thermal situation, and can also play and export the thermal situation of a period of time through the timeline playback method.

[0038] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for thermal analysis of tasks of an automated orbital distribution system for hospital supplies, characterized in that: It includes the following steps: S1: When the material distribution turnover box passes through the equipment section, it will block the photoelectric sensor installed on the equipment section. At this time, the PLC photoelectric signal management module in the central controller of the PLC device will capture the signal of the photoelectric sensor; S2: The thermal analysis system and the equipment communication module will obtain the opening and closing signals of the photoelectricity of each equipment section from the PLC to know the flow situation of the turnover box on the equipment, and the flow data is stored in the data server; S3: After the SVG system bitmap obtains the flow data, it will display the thermal graphics on the bitmap according to the point data analysis; that is: Drawing of the in-hospital track system graphics, drawing the on-site SVG equipment system graphics through HTML5; each small section of the track logistics is equipped with a photoelectric instrument, and each turnover box will feedback the passing signal to the central controller PLC through the photoelectric instrument. The thermal analysis system communicates with the PLC through the OPC UA protocol, obtains the turnover box passing data of each section of equipment and stores it in the database; The thermal system matches the flow data in the database with the equipment sections of the SVG system diagram, converts the flow numbers matched in the same time period into point data, and displays the high-brightness and low-brightness color changes of the equipment area on the SVG system diagram in a kernel density manner to reflect the flow situation of the turnover box passing through the equipment section.

2. The task thermal analysis method of an automated orbital distribution system for hospital supplies according to claim 1, wherein: The central controller PLC of the equipment will capture and manage the signal opening and closing of all photoelectric sensors connected to the track logistics system, and the PLC publishes an external communication interface to provide the captured photoelectric data to the upper data system with corresponding permissions.

3. A task thermal analysis method for an automated orbital distribution system of hospital supplies according to claim 1, characterized in that: Communication is established between the upper system and the PLC through the OPC UA protocol to obtain the opening and closing signals of the photoelectric sensors managed by the PLC, know the turnover box flow information in the system, and the obtained flow information will be stored on the data server. The data includes: photoelectric number, photoelectric state, and acquisition time.

4. A method for thermal analysis of tasks of an automated orbital distribution system for hospital supplies according to claim 1, characterized in that: SVG system bitmap: Use HTML5 to draw the SVG system bitmap according to the actual situation on site. The bitmap reflects the actual installation situation of the equipment, including the number, name of each section of equipment, and the number information of the photoelectric sensors installed on the equipment section.

5. A method for task thermal analysis of an automated orbital distribution system for hospital supplies according to claim 1, characterized in that: Point data analysis: The thermal system obtains the flow information from the data server, matches the equipment section in the bitmap according to the photoelectric number in the flow information, and reflects the actual flow situation of the turnover box in a way of the density and sparsity of points and the aggregation distribution of different colors according to the size of the flow through point data analysis.

6. The task thermal analysis method for an automated track distribution system of hospital supplies according to claim 1, wherein: Thermal playback: Obtain the flow situation of a time period through the timeline, and automatically combine it with the SVG bitmap to reflect the thermal change situation in a historical period of time.

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