Medical waste full-period supervision method and supervision system

Abstract

The invention relates to the field of medical data information communication, in particular to a medical waste full-cycle supervision method and system, and the method comprises the following steps: constructing a supervision platform, connecting a medical institution with a medical waste collection company, deploying intelligent equipment, and connecting the intelligent equipment with a terminal of the supervision platform. Data of the intelligent equipment is uploaded to the supervision platform; acquiring an image of the medical waste, extracting feature information from the image, and classifying the medical waste according to the feature information; position information and a driving track in the medical waste transfer process are obtained, and transfer vehicles for transporting the medical waste are planned and dispatched as a whole; and monitoring the flow data in the packaging and transportation processes of the medical wastes through the supervision platform, monitoring the flow data, identifying abnormal conditions, and outputting alarm information. The method has the effect of improving the medical waste recovery efficiency of the medical waste collection company.

Description

Technical Field

[0001] The present invention relates to the field of medical data information communication, and in particular to a full-cycle supervision method and supervision system for medical waste. Background Art

[0002] With the vigorous development of the medical industry, the treatment and management of medical waste has become increasingly prominent. Traditional medical waste management methods often rely on manual operations, which are not only inefficient, but also prone to secondary pollution during transportation, storage and disposal, posing a potential threat to the environment and human health. At the same time, the management of medical waste involves multiple links and departments, and there are obstacles to the real-time transmission and sharing of information, resulting in delayed management decisions and difficulty in adapting to the rapidly changing medical environment.

[0003] In recent years, there has been great progress in the management and disposal of waste from medical institutions in China. Many cities have adopted the practice of handing over waste to qualified medical waste collection companies for classified disposal. This can not only reduce the harm to the ecosystem, but also effectively reduce the risk of waste entering illegal waste collection units.

[0004] Compared with other hazardous wastes, medical waste is large in quantity and widely distributed. If not properly disposed of, it will harm the ecology of urban areas and the health of residents. However, due to the limited capacity of medical waste collection companies, it is difficult to quickly recycle medical waste from various medical institutions in the city. Summary of the invention

[0005] In order to solve the problem of low efficiency of medical waste recycling by medical waste collection companies, the present invention provides a full-cycle supervision method and supervision system for medical waste.

[0006] The present invention provides a full-cycle supervision method for medical waste, which adopts the following technical solutions:

[0007] A full-cycle supervision method for medical waste includes the following steps:

[0008] Build a supervision platform to connect medical institutions and medical waste collection companies.

[0009] Deploy smart devices, connect them to the terminals of the supervision platform, and upload the data of smart devices to the supervision platform;

[0010] Acquire images of medical waste, extract feature information from the images, and classify the medical waste according to the feature information;

[0011] Obtain location information and driving tracks during the medical waste transfer process, and coordinate the dispatch of medical waste transfer vehicles;

[0012] The supervision platform monitors the process data of medical waste packaging and transportation, identifies abnormal situations in the process data, and outputs alarm information.

[0013] In a specific implementation scheme, the smart device includes a weighing device, a positioning device, a code scanning device and an image acquisition device.

[0014] In a specific feasible implementation scheme, before obtaining the image of medical waste, the medical waste is first packaged, an electronic identity is assigned to the medical waste package, and the data obtained by the smart device from detecting the medical waste package is associated with the electronic identity.

[0015] In a specific implementation scheme, the method for extracting feature information is:

[0016] The shape features of medical waste are identified through contour detection algorithm to obtain feature parameters, and feature information is extracted from the image through feature matching algorithm based on the feature parameters.

[0017] In a specific implementation scheme, the feature matching algorithm is the SIFT algorithm, and medical waste is classified through a convolutional neural network.

[0018] In a specific feasible implementation scheme, the method for identifying abnormal situations includes medical waste warning triggering and video AI warning triggering.

[0019] In a specific feasible implementation plan, the method for triggering the medical waste warning is:

[0020] Preset a threshold value, count the time consumed in the process of packaging and transporting medical waste, and compare the consumed time with the threshold value. If the consumed time is greater than or equal to the threshold value, it indicates an abnormal situation;

[0021] Obtain the handover information during the packaging and transportation of medical waste, and check whether there is any missing handover information. If there is any missing handover information, it indicates that there is an abnormal situation.

[0022] In a specific implementation scheme, the method for triggering medical waste warning also includes:

[0023] Medical waste packages are counted when they enter and leave the warehouse. If the count when leaving the warehouse is less than the count when entering the warehouse, it indicates that the medical waste package is missing. Missing medical waste packages are abnormal.

[0024] In a specific feasible implementation plan, the method of triggering the video AI warning is:

[0025] The image captured by the image acquisition device is acquired, and the abnormal situation is identified according to the image. If the abnormal situation exists in the image, it indicates that the abnormal situation exists.

[0026] The present invention also provides a full-cycle monitoring system for medical waste, which adopts the following technical solution:

[0027] A full-cycle supervision system for medical waste, including weighing equipment to measure the weight of medical waste and upload it to a supervision platform;

[0028] Positioning equipment records the location information and driving trajectory of the transfer vehicle and uploads it to the supervision platform;

[0029] Image acquisition equipment, which acquires images of medical waste and uploads the images to the supervision platform;

[0030] It also includes at least one processor; and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned medical waste full-cycle supervision method.

[0031] In summary, the present invention includes at least one of the following beneficial technical effects:

[0032] 1. Medical waste collection companies are connected to medical institutions through the supervision platform. The medical waste treatment status of medical institutions is shared with medical waste collection companies through the supervision platform. The transfer vehicles of medical waste collection companies recycle medical waste from different medical institutions based on location information and route planning, thereby improving the medical waste recycling efficiency of medical waste collection companies.

[0033] 2. Medical waste is processed through intelligent devices and marked with electronic identity tags to facilitate automatic classification of medical waste, saving the time of classification when medical waste collection companies recycle medical waste and improving the medical waste recycling efficiency of medical waste collection companies.

[0034] 3. Obtain the real-time location information and driving trajectory of the transfer vehicle, monitor the medical waste in the transfer vehicle to prevent loss. Monitor the entire process of medical waste packaging and temporary storage in the medical structure to prevent medical waste from being lost before it is collected by the medical waste collection company.

[0035] 4. Obtaining the real-time location information and driving trajectory of the transfer vehicle can further obtain the status information of the transfer vehicle, thereby facilitating more accurate and efficient overall scheduling of the transfer vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the full-cycle regulatory approach for medical waste. DETAILED DESCRIPTION

[0037] The following is combined with Figure 1 The present invention is described in further detail.

[0038] Reference Figure 1 , the full-cycle supervision method for medical waste includes the following steps:

[0039] S100, building a regulatory platform.

[0040] Axure was used to design a medical waste information management platform based on 5G+ visual analysis technology. The management platform obtains electrical signals output by weighing equipment, positioning equipment, etc., and records the electronic identity and key information of medical waste. Key information includes the weight, type, source, collection time, transportation trajectory, etc. of medical waste.

[0041] Each package of medical waste is given a unique electronic identity. After each package of medical waste is packed, it will be weighed and processed to record the key information of the medical waste. By associating the electronic identity with the key information, the key information of the corresponding medical waste can be queried through the electronic identity.

[0042] The supervision platform includes functions such as joint form transfer, transfer weighing, disposal reception, QR code scanning traceability, joint form ledger, and transfer monthly report, to achieve the connection between medical waste collection data between medical waste collection companies and medical institution platforms.

[0043] S200, deploy smart devices and connect them to the terminals of the supervision platform.

[0044] Smart devices include image acquisition devices, weighing devices, positioning devices, and PDA scanning devices. The weighing device weighs the medical waste packages, so that the weight of each package of medical waste can be recorded. The positioning device is installed in the transfer vehicle that transports medical waste, so that the supervision platform can monitor the transportation route and status of the transfer vehicle in real time. The PDA scanning device can identify electronic identity tags, making it easier to associate key information with the corresponding medical waste packages. The image acquisition device can be a camera, a camera, etc., which obtains images of medical waste packages and uploads them to the supervision platform.

[0045] S300, processing the image of medical waste to extract feature information from the image.

[0046] Medical waste packaging is usually made of transparent plastic, and the medical waste inside can be observed through the packaging. The contour detection algorithm is used to automatically detect, identify and analyze the shape characteristics of medical waste to obtain feature parameters. The feature matching algorithm is then used to extract feature information from the image. The feature matching algorithm is specifically the SIFT algorithm.

[0047] S400, classifying medical waste according to characteristic information.

[0048] Based on the feature information, convolutional neural networks are used through machine learning to detect and identify the specific classification of medical waste, such as dirty gauze, discarded needles, etc. By identifying medical waste, medical waste can be identified and classified, and the type and properties of medical waste can be further determined, such as infectious waste, injury waste, pathological waste, etc.

[0049] S500, builds a monitoring system connected to positioning equipment.

[0050] The monitoring system is integrated into the supervision platform. The monitoring system includes a GPS positioning system and a 5G network. The GPS positioning system can monitor the driving trajectory and location information of medical waste in real time, and then transmit data signals through the 5G network. The monitoring system can obtain the location and transportation status of the transfer vehicle in real time by obtaining the positioning device in the transfer vehicle, which is convenient for the overall scheduling of the transfer vehicle.

[0051] S600 obtains process data during the packaging and transportation of medical waste, monitors the process data through big data algorithms and data analysis, and outputs alarm information if any abnormal situation is found.

[0052] Process data includes the entry time, exit time, entry quantity, exit quantity, inspection quantity, etc. of medical waste.

[0053] In this embodiment, two types of warning triggers are designed: medical waste warning trigger and video AI warning trigger.

[0054] The video AI warning trigger uses cameras and other image acquisition devices to collect images of the medical waste treatment process, automatically identify abnormal situations, and output alarms. For example, staff members are not wearing masks, medical waste packaging is damaged, etc.

[0055] The medical waste warning triggers preset alarm information and alarm range. When the acquired process data falls within the alarm range, the alarm information is output and an alarm is sounded. In this embodiment, the alarm information and the corresponding alarm range are as follows:

[0056] Medical waste not handed over for 24, 48, or 72 hours: Medical institutions and departments have not handed over medical waste for more than 24, 48, or 72 hours;

[0057] Incomplete handover information: The staff who handed over the medical waste did not scan the handover code;

[0058] Storage timeout: The collected medical waste is not stored in the temporary storage room for more than 24 hours;

[0059] Lost before storage: The number of medical waste packages stored in the temporary storage room is less than the number when the medical institution department handed them over;

[0060] 24, 48, 72 hours out of storage time: medical waste has been stored in the temporary storage room for more than 24 hours, 48 ​​hours, 72 hours and has not been out of the storage;

[0061] Lost after storage: When medical waste bags are taken out of the temporary storage room and transported away by the transfer vehicle, the number is less than the number when they were stored in the temporary storage room.

[0062] To facilitate understanding, the following is a further explanation using the example of the treatment process of discarded medical waste in medical institutions.

[0063] The collectors scan their work badges and upload their information to the supervision platform to facilitate subsequent traceability. The collectors collect the packaged medical waste from different departments in turn. Every time they collect a medical waste package, they weigh and photograph it, scan the electronic identity of the medical waste, upload the key information obtained after processing to the supervision system, and associate it with the electronic identity. Based on the images obtained by taking pictures, the medical waste can be automatically classified and associated with the electronic identity. After the collector confirms the collected medical waste package, he scans the handover code, indicating that the department corresponding to the handover code has completed the collection of medical waste, and associates the handover code with the electronic identity.

[0064] If the department does not have a medical waste bag, scan the handover code directly and go to the next department. If the same department has no electronic identity associated with the handover code for two consecutive days, an alarm will be output for medical waste that has not been discharged for 24 hours, reminding the collector to understand the department's situation. Similarly, if the department has no electronic identity associated with the handover code for three consecutive days, an alarm will be output for medical waste that has not been discharged for 48 hours; if the department has no electronic identity associated with the handover code for four consecutive days, an alarm will be output for medical waste that has not been discharged for 72 hours.

[0065] When the collection personnel scans the next electronic identity identification, the supervision platform automatically confirms whether there is an electronic identity identification that has been scanned but is not associated with the handover code. If there is an electronic identity identification that is not associated with the handover code, an alarm of incomplete handover information will be output to remind the collection personnel to go and associate it.

[0066] The collector will deliver the collected medical waste packages to the temporary storage room for storage. During the storage process, the collection status of the collector will be recorded to confirm whether the collector has scanned the handover code of each department. If the handover code is missing, it means that the collector may not have gone to the corresponding department to collect medical waste. An alarm of incomplete handover information will be output to remind the collector to go for confirmation.

[0067] The supervision platform will also time the electronic identity tag and record the circulation of the electronic identity tag. If the electronic identity tag has not been put into storage for more than 24 hours, it means that the medical waste package corresponding to the electronic identity tag has not been stored in the temporary storage room for more than 24 hours, and an output storage timeout alarm will be issued.

[0068] When the collectors transport the collected medical waste packages to the temporary storage room for storage, they will also count the number of medical waste packages and compare them with the number of electronic identity tags collected in the previous collection process. If the count is less than the number of electronic identity tags, it indicates that the medical waste package is missing and a lost alarm will be issued before output into the warehouse.

[0069] After the medical waste enters the temporary storage room, the supervision platform continues to time the electronic identity tag. If the electronic identity tag is not removed from the warehouse after more than 24 hours after entering the warehouse, it means that the medical waste package corresponding to the electronic identity tag has been stored in the temporary storage room for more than 24 hours and has not been removed from the warehouse in time, and a 24-hour removal timeout alarm is output. Similarly, if the electronic identity tag is not removed from the warehouse after more than 48 hours after entering the warehouse, a 48-hour removal timeout alarm is output; if the electronic identity tag is not removed from the warehouse after more than 72 hours after entering the warehouse, a 72-hour removal timeout alarm is output.

[0070] When the medical waste packages are collected by the medical waste collection company for processing, they are transferred from the temporary storage room to the transfer vehicle, and the electronic identity of the medical waste is scanned and counted again. If the count is less than the count of the electronic identity when it was put into storage, it indicates that the medical waste package is missing, and a lost alarm is triggered after it is output and put into storage.

[0071] The transfer vehicle carries the medical waste packages back to the medical waste collection company for processing. During the transportation process, the positioning device on the transfer vehicle locates the transfer vehicle in real time and uploads the real-time location information of the transfer vehicle to the supervision platform, so that both medical institutions and medical waste collection companies can understand the movement of the transfer vehicle in real time. When the transfer vehicle needs to go to multiple medical institutions to collect medical waste packages, the supervision platform can plan the route of the transfer vehicle, optimize the driving route of the transfer vehicle, and improve the collection efficiency.

[0072] The present invention also discloses a full-cycle monitoring system for medical waste, comprising:

[0073] Weighing equipment to measure the weight of medical waste and upload it to the supervision platform;

[0074] Positioning equipment records the location information and driving trajectory of the transfer vehicle and uploads it to the supervision platform;

[0075] The image acquisition device, which can specifically be a camera, a webcam, etc., acquires images of medical waste and uploads the images to the supervision platform.

[0076] It also includes at least one processor; and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned medical waste full-cycle supervision method.

[0077] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A full-cycle supervision method for medical waste, characterized by: The steps include: Build a supervision platform to connect medical institutions and medical waste collection companies. Deploy smart devices, connect them to the terminals of the supervision platform, and upload the data of smart devices to the supervision platform; Acquire images of medical waste, extract feature information from the images, and classify the medical waste according to the feature information; Obtain location information and driving tracks during the medical waste transfer process, and coordinate the dispatch of medical waste transfer vehicles; The supervision platform monitors the process data of medical waste packaging and transportation, identifies abnormal situations in the process data, and outputs alarm information.

2. The full-cycle supervision method for medical waste according to claim 1 is characterized in that: Smart devices include weighing devices, positioning devices, code scanning devices and image acquisition devices.

3. The full-cycle supervision method for medical waste according to claim 1 is characterized in that: Before obtaining images of medical waste, the medical waste is first packaged, an electronic identity is assigned to the medical waste package, and the data obtained by the smart device from detecting the medical waste package is associated with the electronic identity.

4. The full-cycle supervision method for medical waste according to claim 1 is characterized in that: The method for extracting feature information is: The shape features of medical waste are identified through contour detection algorithm to obtain feature parameters, and feature information is extracted from the image through feature matching algorithm based on the feature parameters.

5. The full-cycle supervision method for medical waste according to claim 4 is characterized in that: The feature matching algorithm is the SIFT algorithm, and the medical waste is classified through a convolutional neural network.

6. The full-cycle supervision method for medical waste according to claim 1 is characterized in that: Methods for identifying abnormal situations include medical waste warning triggering and video AI warning triggering.

7. The full-cycle supervision method for medical waste according to claim 6 is characterized in that: The method of triggering medical waste warning is: Preset a threshold value, count the time consumed in the process of packaging and transporting medical waste, and compare the consumed time with the threshold value. If the consumed time is greater than or equal to the threshold value, it indicates an abnormal situation; Obtain the handover information during the packaging and transportation of medical waste, and check whether there is any missing handover information. If there is any missing handover information, it indicates that there is an abnormal situation.

8. The full-cycle supervision method for medical waste according to claim 7 is characterized in that: The methods for triggering medical waste warnings also include: Medical waste packages are counted when they enter and leave the warehouse. If the count when leaving the warehouse is less than the count when entering the warehouse, it indicates that the medical waste package is missing. Missing medical waste packages are abnormal.

9. The full-cycle supervision method for medical waste according to claim 6 is characterized in that: The method of triggering the video AI warning is: The image captured by the image acquisition device is acquired, and the abnormal situation is identified according to the image. If the abnormal situation exists in the image, it indicates that the abnormal situation exists.

10. A full-cycle supervision system for medical waste, characterized by: Includes weighing equipment to measure the weight of medical waste and upload it to the supervision platform; Positioning equipment records the location information and driving trajectory of the transfer vehicle and uploads it to the supervision platform; Image acquisition equipment, which acquires images of medical waste and uploads the images to the supervision platform; It also includes at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the medical waste full-cycle supervision method described in any one of claims 1-9.

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