Intelligent medical instrument production monitoring system based on big data management analysis

Abstract

The invention relates to the technical field of mechanical route adjustment, in particular to an intelligent medical instrument production monitoring system based on big data management analysis. The system comprises a disinfection state analysis module, a disinfection route adjustment module and a matching adaptation mode matching module. The disinfection state analysis module is used for carrying out detection result analysis on the initialized disinfection state, the disinfection state of the current batch of medical instruments is obtained, a sensitive disinfection area is positioned to serve as an object of later adjustment, and the disinfection route adjustment module is used for matching the same type of medical instruments; a disinfection interval is divided according to an initial disinfection state and a disinfection state of a sensitive disinfection area of the same type, finally, an adaptive mode matching module is matched and combined with a stage disinfection effect analysis result, and a disinfection state suitable for a current batch of medical instruments is selected through actual data simulation comparison, so that stage adjustment of the disinfection state can be carried out orderly, and the medical instruments can be disinfected. The disinfection state adjusting efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical route adjustment, and in particular to a smart medical device production monitoring system based on big data management and analysis. Background Art

[0002] Smart medical device production refers to an industrial form that uses cutting-edge technologies such as artificial intelligence, big data, and the Internet of Things based on medical device data to achieve intelligent upgrades in R&D, manufacturing, quality control, and other links.

[0003] During the production process of medical devices, due to the higher production specifications of medical devices, their quality and safety need to be strictly controlled compared to other industrial products. In order to improve production safety, the disinfection of finished products needs to be carried out in strict accordance with industry regulations.

[0004] For the traditional disinfection process, spraying equipment is mainly used to spray the disinfection surface of medical devices. However, existing medical devices have different shapes. For some complex areas, such as obstructed areas, it is necessary to adjust the spraying angle, spraying amount and spraying time of the spraying equipment. When the complex area on the medical device is moved to the spraying area, the adjustment items are adjusted according to the debugging route so that the sprayed disinfectant can be evenly sprayed to the obstructed area. Due to the differences in size and shape of medical devices in different batches, the adjustment items need to be re-planned when disinfecting a new batch of medical devices. Therefore, the corresponding adjustment items have a wide adjustment range and no reference adjustment standard. Multiple disordered angle adjustments are required to achieve a qualified disinfection state, which greatly reduces the adjustment efficiency.

[0005] In order to address the above problems, there is an urgent need for a smart medical device production monitoring system based on big data management and analysis with adaptive disinfection status adjustment. Summary of the Invention

[0006] The purpose of the present invention is to provide a smart medical device production monitoring system based on big data management and analysis, including a disinfection state analysis module, a disinfection route adjustment module and a matching adaptation pattern matching module. The disinfection state analysis module is used to analyze the detection results of the initial disinfection state, obtain the disinfection state of the current batch of medical devices, and locate the sensitive disinfection area as the object of later adjustment, and use the disinfection route adjustment module to match the same type of medical devices, divide the disinfection interval according to the initial disinfection state and the disinfection state of the same type of sensitive disinfection area, and finally cooperate with the adaptation pattern matching module in combination with the staged disinfection effect analysis results, through actual data simulation comparison, select the disinfection state that is suitable for the current batch of medical devices, and can orderly perform staged adjustment of the disinfection state to solve the problems raised in the above background technology, namely:

[0007] The adjustment range of the adjustment items is wide, and there is no reference adjustment standard. Multiple disordered angle adjustments are required to achieve a qualified disinfection state, which greatly reduces the adjustment efficiency.

[0008] To achieve the above objectives, a smart medical device production monitoring system based on big data management and analysis is provided, including a disinfection process monitoring module, a disinfection status analysis module, a disinfection route adjustment module, and an adaptive pattern matching module;

[0009] The disinfection process monitoring module monitors the disinfection process of a new batch of medical devices and obtains the initial disinfection status for later comparison of disinfection effects to determine whether disinfection status adjustment is required;

[0010] During the analysis of the disinfection effect, the detection results of the disinfection status analysis module are analyzed to obtain the disinfection status that does not meet the standards, and the sensitive disinfection areas, that is, the local disinfection status of medical devices, are collected. Combined with big data comparison, the disinfection status of historical sensitive disinfection areas of the same type is obtained. The historical disinfection status of the same type of sensitive disinfection areas can be used as a reference for the local disinfection status of the current batch of medical devices, thereby narrowing the adjustment range of each disinfection status.

[0011] Furthermore, the disinfection route adjustment module is used to adjust the production line disinfection route in combination with the initial disinfection status and the historical disinfection status of the same type of sensitive disinfection areas, and the disinfection status values ​​of the initial disinfection status and the historical disinfection status of the same type of sensitive disinfection areas are adjusted in stages. The disinfection effect is compared with the adaptation pattern matching module. In the initial state, the disinfection effect of the historical disinfection status of the same type of sensitive disinfection areas is used as the reference standard, and the optimal disinfection effect is updated in real time. The optimal disinfection effect updated in real time is used as the comparison standard until the route update of each disinfection status is completed, and the disinfection status values ​​corresponding to the optimal disinfection effect are obtained as the disinfection status of the current batch of medical devices.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] In this smart medical device production monitoring system based on big data management and analysis, the disinfection status analysis module is used to analyze the detection results of the initial disinfection status, obtain the disinfection status of the current batch of medical devices, and locate the sensitive disinfection area as the object of later adjustment. The disinfection route adjustment module is used to match medical devices of the same type, and the disinfection interval is divided according to the initial disinfection status and the disinfection status of the same type of sensitive disinfection areas. Finally, the adaptation pattern matching module is combined with the staged disinfection effect analysis results. Through actual data simulation and comparison, the disinfection status suitable for the current batch of medical devices is selected, which can make orderly staged adjustments to the disinfection status and improve the efficiency of disinfection status adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a block diagram of the overall system structure of the present invention.

[0015] The meaning of each number in the figure is:

[0016] 10. Disinfection process monitoring module;

[0017] 20. Disinfection status analysis module;

[0018] 30. Disinfection route adjustment module;

[0019] 40. Adaptive pattern matching module. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, a smart medical device production monitoring system based on big data management and analysis is provided, including a disinfection process monitoring module 10, a disinfection status analysis module 20, a disinfection route adjustment module 30, and an adaptation pattern matching module 40;

[0022] The disinfection process monitoring module 10 is used to monitor the disinfection process of a new batch of medical devices and obtain the initial disinfection status;

[0023] The disinfection status analysis module 20 analyzes the test results of the initial disinfection status, obtains the disinfection status that does not meet the standard, and collects sensitive disinfection areas. Through big data comparison, it obtains the disinfection status of similar sensitive disinfection areas in history;

[0024] The disinfection route adjustment module 30 adjusts the production line disinfection route based on the initial disinfection status and the historical disinfection status of similar sensitive disinfection areas, and performs staged disinfection effect analysis;

[0025] The adaptive pattern matching module 40 selects a disinfection state suitable for the current batch of medical devices by combining the staged disinfection effect analysis results and performing a simulation comparison with actual data.

[0026] The specific contents are as follows:

[0027] First, in order to ensure the normal disinfection of a new batch of medical devices, the disinfection process of the new batch of medical devices is monitored by the disinfection process monitoring module 10 to obtain the initial disinfection status, that is, the positioning of each complex area during the disinfection process of the new batch of medical devices and the disinfection angle during the disinfection of the complex area. The complex area is the area in the production line that is blocked by the surface structure, so it is necessary to adjust the spraying angle so that the disinfectant is sprayed into the blocked area. The specific method for obtaining the initial disinfection status is as follows:

[0028] The structural status of the current new batch of medical devices is obtained through the camera monitoring module, and the spraying equipment is adjusted to a vertical downward spraying state, maintaining the same spraying pressure and spraying angle for spraying. The new batch of medical devices is passed through the spraying area by the conveyor equipment, and the spraying effect of each area after the disinfection work is completed is captured through camera monitoring. The unsprayed area is marked as a complex area, and the spraying angle is adjusted according to the occlusion direction of the complex area, such as the opening direction. The spraying effect of the secondary disinfection is re-obtained and judged. When the range of adhesion disinfection in the current complex area reaches the standard range, the spraying angle of the current complex area will be maintained unchanged;

[0029] When the range of adhesion disinfection in the current complex area does not reach the standard range, the spray angle is adjusted for the second time until it reaches the standard range. The adjusted spray angle is used as the spray angle of the current complex area. The standard range is manually determined, and the positioning of each complex area and the corresponding spray angle are used as the initial disinfection status of the current new batch of medical devices.

[0030] After completing the initial disinfection status determination work, the remaining medical devices in the new batch of medical devices are disinfected according to the initial disinfection status. In order to ensure the disinfection effect of the entire batch of medical devices, the disinfection status analysis module 20 is required to analyze the test results of the initial disinfection status, obtain the disinfection status that does not meet the standard, and collect sensitive disinfection areas. Through big data comparison, the disinfection status of the historical sensitive disinfection areas of the same type is obtained. It is worth noting that the disinfection status that does not meet the standard is obtained through later disinfection testing, including using monitoring test strips to obtain the spray range of complex areas and obtaining the current spray coverage of complex areas through microbial testing, etc., and the standard range mentioned above is only judged by the image of the complex area and by obtaining the disinfection adhesion area of ​​the complex area. Therefore, it is only a simple judgment. When the test result analysis determines that the disinfection status of the current complex area is a disinfection status that does not meet the standard, the image of the current complex area is captured through video monitoring and marked as a sensitive area, and the image of the sensitive area is intercepted, wherein the image of the sensitive area includes the structural type of the complex area and the spray coverage area;

[0031] Furthermore, since the medical devices sterilized on the same production line have similar structural types, for example, they are all tubular devices, and there may also be different combinations of the same device, the corresponding complex areas are similar or identical. When making specific disinfection adjustments, the angle adjustment can be imitated by mimicking the historically similar or identical complex areas. Therefore, during the specific monitoring process, the historical disinfection status of the complex area that meets the standards is obtained, and the disinfection status image of the corresponding complex area is obtained, stored in the database, and compared with the image of the sensitive area. The specific comparison process is as follows:

[0032] Define the comparison items for each complex area. The comparison items used in this solution include the occlusion area Si area , occlusion angle Ol angle and hidden area Hd area , and divide the unit range values ​​of each comparison item, among which the shielding area Si area The unit range value is Occlusion angle Ol angle The unit range value is Hidden area Hd area The unit range value is Collect the actual comparison item value, calculate the difference and sum of the actual comparison item value and the corresponding unit range value, and establish the comparison item range, such as the occlusion area Si of a complex area in the database area , occlusion angle Ol angle and hidden area Hd area The corresponding actual values ​​are Si1, Ol1 and Hd1, and the corresponding comparison item range is as well as During the comparison process, the actual values ​​of each comparison item of the current medical device are obtained, and a single comparison item comparison is performed;

[0033] When the actual values ​​of each comparison item are within the corresponding comparison item range of a single or multiple complex areas in the database, the complex area with successful comparison is marked as a pre-complex area, and the comparison compliance of each pre-complex area is obtained. Where Si2 is the occlusion area Si in the current medical device area The actual value of Si1 is the occlusion area Si in the pre-complex area area Ol2 is the actual value of the occlusion angle Ol in the current medical device angle The actual value of Ol1 is the occlusion angle Ol in the pre-complex area angle The actual value of Hd2 is the hidden area Hd in the current medical device. area The actual value of Hd1 is the hidden area Hd in the pre-complex area areaThe actual value of the comparison is used to calculate the Cp of each pre-complex area. conformity , mark the pre-complex area with the smallest value as the selected complex area;

[0034] When the actual value of one of the comparison items does not conform to the corresponding comparison item range in the complex area, the current complex area will be eliminated and will not be used as a reference for subsequent comparisons.

[0035] After the comparison is completed, the disinfection route adjustment module 30 is used to adjust the production line disinfection route in combination with the initial disinfection state and the historical disinfection state of the same type of sensitive disinfection area, conduct a staged disinfection effect analysis, and retrieve the corresponding historical disinfection state of the selected complex area. The corresponding disinfection state in this solution includes spraying angle, spraying time, and unit spraying volume, wherein the spraying angle is the spraying angle adjusted by the spraying equipment during the spraying process, the spraying time is the time the complex area stays for spraying, and the unit spraying volume is the amount of disinfectant sprayed per unit time in the complex area. It is worth noting that for different types of medical devices, the corresponding disinfection methods are different, so the corresponding disinfection states are also different. In the specific use process, the disinfection state can also be formulated according to the corresponding disinfection method, which is not limited to the disinfection state announced above.

[0036] As for the production line disinfection route, since directly using the historical disinfection status corresponding to the same or similar medical devices will still cause disinfection errors, this solution adopts a phased disinfection route planning. First, the initial disinfection status and the matching disinfection status corresponding to the selected complex area are collected to obtain the adjustment range of each disinfection status, where the adjustment range of the spraying angle is [J1, J2], J1 is the spraying angle value in the initial disinfection state, and J2 is the spraying angle value in the disinfection state corresponding to the selected complex area. The adjustment range of the spraying time is [T1, T2], T1 is the spraying time value in the initial disinfection state, and T2 is the spraying time value in the disinfection state corresponding to the complex area. The adjustment range of the unit spraying amount is [D1, D2], D1 is the unit spraying amount value in the initial disinfection state, and D2 is the unit spraying amount value in the disinfection state corresponding to the complex area. The unit adjustment amount of each disinfection state is formulated, and a single disinfection state is adjusted in stages. That is, each time one of the disinfection states is adjusted, the other disinfection states remain unchanged. For example, when the spraying time is adjusted in stages, the value of the first adjustment is in is the unit adjustment amount corresponding to the spraying time, and the value of the second adjustment is During this process, the actual values ​​of the spraying angle and unit spraying volume remain unchanged, and the adjustment order of each disinfection state is spraying angle-spraying time-unit spraying volume;

[0037] Finally, the adaptive pattern matching module 40 is combined with the analysis results of the staged disinfection effect, and the actual data simulation comparison is performed to select the disinfection state suitable for the current batch of medical devices, obtain the disinfection effect in each stage and the corresponding disinfection effect when the disinfection state corresponding to the selected complex area is adopted, and compare them. When the disinfection effect in the current stage is better than the disinfection effect when the disinfection state corresponding to the selected complex area is adopted, the values ​​corresponding to the various disinfection effects in the current stage are used as pre-adjustment values. Otherwise, the disinfection state corresponding to the selected complex area is retained until all staged adjustments of the disinfection state are completed, and the best disinfection state value is selected as the disinfection state of the batch of medical devices.

[0038] The present invention uses the disinfection status analysis module 20 to analyze the detection results of the initialization disinfection status, obtain the disinfection status of the current batch of medical devices, and locate the sensitive disinfection area as the object of later adjustment, and use the disinfection route adjustment module 30 to match medical devices of the same type, and divide the disinfection interval according to the initial disinfection status and the disinfection status of the same type of sensitive disinfection area. Finally, in conjunction with the adaptation pattern matching module 40 and the staged disinfection effect analysis results, through actual data simulation comparison, the disinfection status suitable for the current batch of medical devices is selected, which can orderly perform staged adjustment of the disinfection status and improve the efficiency of disinfection status adjustment.

[0039] The above shows and describes 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 to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent medical device production monitoring system based on big data management and analysis, characterized by: It includes a disinfection process monitoring module (10), a disinfection state analysis module (20), a disinfection route adjustment module (30) and an adaptation pattern matching module (40); The disinfection process monitoring module (10) is used to monitor the disinfection process of a new batch of medical devices and obtain the initial disinfection status; The disinfection status analysis module (20) analyzes the detection results of the initial disinfection status, obtains the disinfection status that does not meet the standard, and collects sensitive disinfection areas, and obtains the disinfection status of the same type of sensitive disinfection areas in history through big data comparison; The disinfection route adjustment module (30) adjusts the production line disinfection route based on the initial disinfection status and the historical disinfection status of similar sensitive disinfection areas, and performs staged disinfection effect analysis; The adaptation pattern matching module (40) selects a disinfection state suitable for the current batch of medical devices by combining the staged disinfection effect analysis results and performing actual data simulation comparison.

2. The intelligent medical device production monitoring system based on big data management and analysis according to claim 1 is characterized by: The method for obtaining the initialization disinfection status in the disinfection process monitoring module (10) comprises the following steps: S101. Obtain the structural status of the current new batch of medical devices through the camera monitoring module, adjust the spraying equipment to a vertical downward spraying state, and maintain the same spraying pressure and spraying angle for spraying; S102, passing a new batch of medical devices through the spraying area by a conveyor device; S103. Capture the spraying effect of each area after the disinfection work is completed through video surveillance, mark the unsprayed area as a complex area, and re-obtain the spraying effect of the secondary disinfection based on the occlusion direction of the complex area and make a judgment; When the scope of adhesion disinfection in the current complex area reaches the standard range, the spraying angle of the current complex area will be maintained unchanged; When the range of adhesion disinfection in the current complex area does not reach the standard range, the spraying angle is adjusted for the second time until it reaches the standard range, and the adjusted spraying angle is used as the spraying angle for the current complex area.

3. The smart medical device production monitoring system based on big data management and analysis according to claim 1 is characterized by: The method for obtaining the historical disinfection status of the same type of sensitive disinfection area in the disinfection status analysis module (20) comprises the following steps: S201. Define comparison items for each complex area; S202, dividing the unit range values ​​of each comparison item; S203: Collect the actual comparison item value, calculate the difference and sum between the actual comparison item value and the corresponding unit range value, and establish the comparison item range; S204, obtaining actual values ​​of various comparison items of the current medical device, and performing a single comparison item comparison; When the actual values ​​of each comparison item are within the corresponding comparison item range of a single or multiple complex areas in the database, the complex area with successful comparison is marked as a pre-complex area, and the comparison compliance Cp of each pre-complex area is calculated. conformity , mark the pre-complex area with the smallest value as the selected complex area; When the actual value of one of the comparison items does not conform to the corresponding comparison item range in the complex area, the current complex area will be eliminated and will not be used as a reference for subsequent comparisons.

4. The intelligent medical device production monitoring system based on big data management and analysis according to claim 3 is characterized by: The comparison items in S201 include the occlusion area Si area , occlusion angle Ol angle and hidden area Hd area .

5. The intelligent medical device production monitoring system based on big data management and analysis according to claim 3 is characterized by: The step S204 calculates the comparison conformity Cp of each pre-complex area. conformity The formula is as follows: Where Si2 is the occlusion area Si in the current medical device area The actual value of Si1 is the occlusion area Si in the pre-complex area area Ol2 is the actual value of the occlusion angle Ol in the current medical device angle The actual value of Ol1 is the occlusion angle Ol in the pre-complex area angle The actual value of Hd2 is the hidden area Hd in the current medical device. area The actual value of Hd1 is the hidden area Hd in the pre-complex area area The actual value of .

6. The intelligent medical device production monitoring system based on big data management and analysis according to claim 1 is characterized by: The method for adjusting the production line disinfection route in the disinfection route adjustment module (30) comprises the following steps: S301: Collect the initial disinfection status and the disinfection status corresponding to the selected complex area, and obtain the adjustment range of each disinfection status; S302. Formulate unit adjustment amounts for various disinfection states, and perform periodic adjustments to a single disinfection state. When adjusting one disinfection state, the remaining disinfection states remain unchanged.

7. The intelligent medical device production monitoring system based on big data management and analysis according to claim 6 is characterized by: The disinfection status in S301 includes spraying angle, spraying time and unit spraying amount; The spraying angle is the spraying angle adjusted by the spraying equipment during the spraying process; The spraying time is the time that the complex area is stayed for spraying; The unit spraying volume is the amount of disinfectant sprayed per unit time in a complex area.

8. The intelligent medical device production monitoring system based on big data management and analysis according to claim 7 is characterized by: The adjustment order of each disinfection state is spraying angle-spraying time-unit spraying volume.

9. The intelligent medical device production monitoring system based on big data management and analysis according to claim 1 is characterized by: The method for selecting the disinfection state adapted to the current batch of medical devices in the adaptation pattern matching module (40) comprises the following steps: S401, obtaining the disinfection effect at each stage and the corresponding disinfection effect when the disinfection state corresponding to the complex area is selected; S402, comparing disinfection effects; When the disinfection effect at the current stage is better than the disinfection effect corresponding to the disinfection state of the selected complex area, the values ​​corresponding to the disinfection effects at the current stage are used as pre-adjustment values; When the disinfection effect at the current stage is worse than the disinfection effect corresponding to the disinfection state of the selected complex area, the disinfection state corresponding to the selected complex area will continue to be retained; S403. Complete all periodic adjustments of the disinfection status and select the best disinfection status value as the disinfection status of the batch of medical devices.

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