CN111517016B - Medical waste classification processing method and system based on Internet of things and storage medium - Google Patents
Medical waste classification processing method and system based on Internet of things and storage medium Download PDFInfo
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- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
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- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract
The invention provides a medical waste classification processing method, system and storage medium based on the Internet of things, and is suitable for the technical field of medical management. The method comprises the following steps: acquiring sequence information of medical waste; acquiring user information corresponding to the medical waste according to the sequence information; determining a risk level of the medical waste based on the user information; determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff. This application can be according to medical waste's user information, can confirm the risk level that medical waste corresponds better to carry out the categorised storage and the processing of the medical waste of each risk level, thereby reduce medical waste and classify the career that the improper leads to the fact and expose and infect the risk.
Description
Technical Field
The invention relates to the technical field of medical management, in particular to a medical waste classification processing method and system based on the Internet of things and a storage medium.
Background
The medical waste is waste which is generated by medical institutions in medical treatment, prevention, health care and other related activities and has direct or indirect infectivity, toxicity and other harmfulness, and specifically comprises infectious, pathological, traumatic, medicinal and chemical waste, wherein the waste contains a large amount of bacterial viruses and has certain characteristics of space pollution, acute viral infection and latent infection, and if the waste is not managed and discarded randomly, the waste is mixed with household garbage and is dispersed into the living environment of people, the waste can pollute the atmosphere, water sources, land and animals and plants, so that the disease transmission is caused, and the physical and mental health of people is seriously harmed. Today, the awareness of environmental protection is gradually increasing, and it is the responsibility and obligation of each citizen to protect the environment.
The team conducts autonomous research and development of medical waste treatment monitoring for a long time, and partial technologies are applied to the field of medical management. Through a great amount of search, the medical waste treatment monitoring schemes in the prior art are found to be typical and mainly used in medical waste treatment monitoring methods such as those disclosed in publication numbers of CN102825056A, CN106267299A, JP2020504983A, DK201600467A1 and DE202018001734U1, and the technical characteristics of the medical waste treatment monitoring schemes are that medical waste classification storage boxes are adopted; the voice recognition module receives voice information from the voice input module and converts the voice information into character information; the semantic classifier extracts and matches keywords of the character information; the execution control module sends an execution command to the power structure according to the matching result; the power structure outputs power to the actuating mechanism to open the upper cover of the corresponding classification box body; installing RFID identification tags on the classification box body; recording, within the server, a specific classification of the medical waste for each RFID identification tag; the clearing personnel terminal for the clearing personnel identifies the RFID identification tag and sends clearing information to the server; the server searches the specific classification of the medical waste according to the information to generate and send a list of the medical waste to be processed to the processing party, so that the technical problem that in the prior art, the medical waste is frequently classified incorrectly and the workload of subsequent processing is increased is solved.
However, the conventional medical waste disposal only marks and records each medical waste bin, and cannot monitor all medical wastes, so that after a certain medical article is used, if the medical article is not accurately classified, infection risks may be caused, and therefore, it is necessary to perform risk level confirmation and classified storage processing on each medical waste to prevent occupational exposure and infection risks caused by improper medical waste classification.
Disclosure of Invention
The invention provides a medical waste classification processing method and system based on the Internet of things and a storage medium, and aims to solve the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a medical waste classification processing method based on the internet of things, the method including:
acquiring sequence information of medical waste;
acquiring user information corresponding to the medical waste according to the sequence information;
determining a risk level of the medical waste based on the user information;
determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff.
Optionally, the user information includes a user's name, a work position, and a movement track.
Optionally, the determining the risk level of the medical waste according to the user information includes:
determining M spatial regions where the user stays according to the movement track of the user, wherein M is more than or equal to 0 and is an integer, and the spatial regions are obtained by performing clustering processing according to a preset first step;
determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to preset second and regional medical marking information;
matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is greater than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is greater than or equal to 1, and K is an integer;
if the successfully matched areas exist, determining the risk level of the medical waste to be a first level, and storing the medical waste into a first storage area;
and if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
Optionally, the determining the storage area of the medical waste according to the sequence information and the risk level includes:
extracting the type information of the medical waste according to the sequence information;
determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
Optionally, the sequence information includes a serial number composed of one or more of numbers and letters, and each piece of medical waste has a unique serial number.
The beneficial technical effect that this application obtained is:
1. according to the user information of the medical waste, the risk levels corresponding to the medical waste can be well determined, so that the medical waste of each risk level is classified, stored and processed, and the occupational exposure and infection risks caused by improper medical waste classification are reduced.
2. The current address of the medical waste can be accurately confirmed, so that better medical waste management can be performed, and medical infection or germ transmission caused by the medical waste is avoided being missed.
In a second aspect, the embodiment of the present application provides an internet of things-based medical waste classification processing system, which is characterized in that the system includes:
the first acquisition module is used for acquiring sequence information of the medical waste;
the second acquisition module is used for acquiring and processing user information corresponding to the medical waste according to the sequence information;
a determination module for determining a risk level of the medical waste based on the user information;
and the classified storage module is used for determining a storage area of the medical waste according to the sequence information and the risk level and storing the medical waste into the storage area.
In a third aspect, the present application provides a computer-readable storage medium, which stores computer-readable instructions, wherein the computer-readable instructions, when executed by a processor, implement the medical waste classification processing method.
In a fourth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the medical waste classification processing method of any one of the above first aspects.
It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is a schematic flow chart of a medical waste classification processing method according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a medical waste treatment system according to one embodiment of the present invention;
FIG. 3 is a schematic illustration of a user's movement trajectory of medical waste in one embodiment of the present invention;
FIG. 4 is a schematic illustration of the clustering of spatial regions of medical waste in one embodiment of the present invention;
fig. 5 is a schematic view of a medical waste treatment method described in prior art CN 102825056A.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to embodiments thereof; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not intended to indicate or imply that the device or component referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and the specific meaning of the terms described above will be understood by those of ordinary skill in the art according to the specific circumstances.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
The first embodiment is as follows:
in a first aspect, an embodiment of the present application provides a medical waste classification processing method based on the internet of things, the method including:
acquiring sequence information of medical waste;
acquiring user information corresponding to the medical waste according to the sequence information;
determining a risk level of the medical waste based on the user information;
determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff. According to the user information of the medical waste, the risk levels corresponding to the medical waste can be well determined, so that the medical waste of each risk level is classified, stored and processed, occupational exposure and infection risks caused by improper medical waste classification are reduced, the current address of the medical waste can be accurately confirmed, medical waste management is better performed, and medical infection or germ transmission caused by omission is avoided.
Optionally, the user information includes a user's name, a work position, and a movement track.
Optionally, the determining the risk level of the medical waste according to the user information includes:
determining M spatial regions where the user stays according to the movement track of the user, wherein M is more than or equal to 0 and is an integer, and the spatial regions are obtained by performing clustering processing according to a preset first step;
determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to preset second and regional medical marking information;
matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is greater than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is greater than or equal to 1, and K is an integer;
if the successfully matched areas exist, determining the risk level of the medical waste to be a first level, and storing the medical waste into a first storage area;
and if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
Optionally, the determining the storage area of the medical waste according to the sequence information and the risk level includes:
extracting the type information of the medical waste according to the sequence information;
determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
Optionally, the sequence information includes a serial number composed of one or more of numbers and letters, and each piece of medical waste has a unique serial number.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Corresponding to the medical waste classification processing method based on the internet of things in the foregoing embodiment, fig. 2 shows a structural block diagram of the medical waste classification processing system based on the internet of things provided in the embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
In a second aspect, the present application provides an internet of things-based medical waste classification processing system, which includes:
the first acquisition module is used for acquiring sequence information of the medical waste;
the second acquisition module is used for acquiring and processing user information corresponding to the medical waste according to the sequence information;
a determination module for determining a risk level of the medical waste based on the user information;
and the classified storage module is used for determining a storage area of the medical waste according to the sequence information and the risk level and storing the medical waste into the storage area.
In a third aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores computer-readable instructions, where the computer-readable instructions, when executed by a processor, implement the medical waste classification processing method.
In a fourth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the medical waste classification processing method of any one of the above first aspects.
It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.
Example two: this embodiment should be understood to include at least all of the features of any of the embodiments described above and to further refine the application.
The embodiment of the application provides a medical waste classification treatment method based on the Internet of things, which comprises the following steps:
sequence information of the medical waste is acquired.
In this embodiment, the sequence information is a serial number consisting of one or more of a number and a letter, and each piece of medical waste has a unique serial number. The serial number may be a 16-bit character string, a 32-bit character string, or a 64-bit character string generated by a preset encryption algorithm, where the preset encryption algorithm may be any one of a symmetric encryption algorithm, an asymmetric encryption algorithm, or a hash algorithm. The medical waste is provided with an induction identification module or an identification code, so that a processor can obtain corresponding sequence information through the identification module through the identification device.
And acquiring and processing user information corresponding to the medical waste according to the sequence information.
In this embodiment, the user information includes the user's name, work position, and movement trajectory. The job position can be volunteer's position information, medical worker's position name is still included to medical worker's department name and medical worker's work position name, department name can be infectious department, internal medicine, surgery, gynaecology and obstetrics, paediatrics, dermatology etc. further, infectious department can also include liver disease branch of academic or vocational study, tuberculosis branch of academic or vocational study, AIDS branch of academic or vocational study etc., the internal medicine can also include respiratory medicine, gastroenterology, cardiovascular branch of academic or vocational study, nephrology etc., the surgery can also include neurosurgery, cardiothoracic surgery, urology surgery, hepatobiliary surgery etc..
The user's removal orbit is for getting medical supplies when beginning to the removal orbit when using this medical supplies to end, for example medical personnel get protective clothing, medical supplies response begins to record medical personnel's orbit information to when medical personnel wore this protective clothing and passes through aseptic district, clean district, semi-clean district, virus pollution district, virus infection district, medical office, treatment room in proper order, note a complete removal orbit. The medical article is provided with a track recording module which is used for recording the moving track of a user of the medical article and the track of the medical article which is stopped historically.
Determining a risk level of the medical waste based on the user information.
In this embodiment, the users of each medical article may be different, for example, volunteers outside the hospital wear protective clothing to perform community protection work, and because the number of germs on the protective clothing is relatively small in the case of no special situation outdoors, the corresponding risk level of the protective clothing is relatively low, and on the contrary, medical personnel in the hospital wear the protective clothing to perform clinical treatment work, the number of germs on the protective clothing is relatively large, and the corresponding risk level of the protective clothing is relatively high. According to the information of the medical waste user, determining the historical activity area of the user, and thus determining whether the user passes through the high risk infection area or not, if the user passes through the area, it is indicated that the medical waste corresponding to the user is possibly infected with more germs and the risk level of infection is higher, otherwise, it is indicated that the medical waste corresponding to the user is infected with fewer germs, for example, the protective clothing is worn in an area with smooth air for duty, and then the protective clothing is discarded, the germs infected on the protective clothing are necessarily relatively fewer, and the risk level is lower. Meanwhile, according to the determined risk level corresponding to the medical waste, the corresponding classified storage area to which the medical waste is conveyed is determined, so that different workers can conveniently treat the medical waste, and better harmless treatment of the medical waste is realized.
Therefore, different treatment personnel can be provided for the medical wastes in different regions, if the medical wastes are sent to the same address for harmless treatment, time and labor are consumed, and the medical wastes of various risk levels are concentrated, so that cross infection can be caused among the treatment personnel, for example, a person treating high-risk medical wastes is infected and then contacts a person treating low-risk medical wastes, and the infection range can be enlarged.
Determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff.
In this embodiment, the storage areas include a storage area for high risk medical waste and a storage area for low risk medical waste. And determining a storage area corresponding to the medical waste according to the risk grade of the medical waste, such as storing the low-risk medical waste into the low-risk storage area, and waiting for independent staff to carry out transportation and harmless treatment of the medical waste, thereby avoiding the situation.
And extracting the medical waste recorded by the sequence information according to the sequence information.
Optionally, the determining the risk level of the medical waste according to the user information includes:
and determining M spatial regions where the user stays according to the movement track of the user, wherein M is more than or equal to 0 and is an integer, and the spatial regions are obtained by performing clustering processing according to a preset first step.
In this embodiment, the corresponding spatial position information is extracted according to the movement trajectory, so that M spatial regions where the user has stayed are determined according to the spatial position information. The spatial region may be one or more of an infected zone, a semi-infected zone, or a clean zone.
As shown in fig. 3, as the moving track of the user shows, the user may pass through a plurality of areas while moving. At a certain moment, if the user moves to only one of the larger spatial areas, for example, the user moves to only a medical office area in the infected area, the user leaves the office area suddenly due to the fact later, and if the user is directly marked to move to the office area, the movement track of the user is not convenient to form, so that the W spatial areas are combined to obtain M spatial areas according to the preset first distance.
For example, as shown in fig. 4, seven spatial regions, such as P0, P1, P2, P3, P4, P5, and P6, exist in the view of a1, where P4 to P6 belong to the same large spatial region, and if the user moves to the P4 or P5 region, the moving position of the user is marked immediately at this time, so that the moving trajectory is unclear and difficult to track, and therefore, spatial region clustering needs to be performed according to the attributes of the spatial regions. The attribute of the space region may be a name, a coverage relation, and the like of the space region. For example, the medical care room in the infection area belongs to the infection area, so that clustering of corresponding spatial regions is performed according to the infection area, as shown in a view of a2, P4, P5 and P6 are merged, and C2 is obtained; p2 and P1 were combined to give C3.
And determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to preset second and regional medical marking information.
And matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is more than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is more than or equal to 1, and K is an integer. And dividing the medical risk infected area into a plurality of reference risk grades of A, B, C and the like according to the number of confirmed infected patients to be treated in the preset reference time period. When sequencing each medical risk infected area, if the reference risk levels of the medical risk infected areas are consistent, determining the ranking according to the distance between the medical risk infected areas and the corresponding space area, for example, if the distance between the area A and the corresponding space area is greater than the distance between the area B and the corresponding space area, ranking; and if the distances between the medical risk infected areas and the corresponding space areas are consistent, determining the rank according to the reference risk levels of the medical risk infected areas, and if the reference risk levels are consistent, determining that the medical risk infected areas with a large number of confirmed infected patients in the preset reference time period are ranked in the front, otherwise, determining that the ranks are consistent.
And if the matching successful area exists, determining the risk grade of the medical waste to be a first grade, and storing the medical waste into a first storage area.
And if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
Optionally, the determining the storage area of the medical waste according to the sequence information and the risk level includes:
extracting the type information of the medical waste according to the sequence information;
determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
Optionally, the sequence information includes a serial number composed of one or more of numbers and letters, and each piece of medical waste has a unique serial number.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Corresponding to the medical waste classification processing method based on the internet of things in the foregoing embodiment, fig. 2 shows a structural block diagram of the medical waste classification processing system based on the internet of things provided in the embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
In a second aspect, the present application provides an internet of things-based medical waste classification processing system, which includes:
the first acquisition module is used for acquiring sequence information of the medical waste;
the second acquisition module is used for acquiring and processing user information corresponding to the medical waste according to the sequence information;
a determination module for determining a risk level of the medical waste based on the user information;
and the classified storage module is used for determining a storage area of the medical waste according to the sequence information and the risk level and storing the medical waste into the storage area.
In a third aspect, the present application provides a computer-readable storage medium, which stores computer-readable instructions, wherein the computer-readable instructions, when executed by a processor, implement the medical waste classification processing method.
In a fourth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the medical waste classification processing method of any one of the above first aspects.
It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.
Example three this example should be understood to include at least all of the features of any of the foregoing examples and further refines the present application.
The embodiment of the application provides a medical waste classification treatment method based on the Internet of things, which comprises the following steps:
sequence information of the medical waste is acquired.
In this embodiment, the sequence information is a serial number consisting of one or more of a number and a letter, and each piece of medical waste has a unique serial number. The serial number may be a 16-bit character string, a 32-bit character string, or a 64-bit character string generated by a preset encryption algorithm, where the preset encryption algorithm may be any one of a symmetric encryption algorithm, an asymmetric encryption algorithm, or a hash algorithm. The medical waste is provided with an induction identification module or an identification code, so that a processor can obtain corresponding sequence information through the identification module through the identification device.
And acquiring and processing user information corresponding to the medical waste according to the sequence information.
In this embodiment, the user information includes the user's name, work position, and movement trajectory. The job position can be volunteer's position information, medical worker's position name is still included to medical worker's department name and medical worker's work position name, department name can be infectious department, internal medicine, surgery, gynaecology and obstetrics, paediatrics, dermatology etc. further, infectious department can also include liver disease branch of academic or vocational study, tuberculosis branch of academic or vocational study, AIDS branch of academic or vocational study etc., the internal medicine can also include respiratory medicine, gastroenterology, cardiovascular branch of academic or vocational study, nephrology etc., the surgery can also include neurosurgery, cardiothoracic surgery, urology surgery, hepatobiliary surgery etc..
The user's removal orbit is for getting medical supplies when beginning to the removal orbit when using this medical supplies to end, for example medical personnel get protective clothing, medical supplies response begins to record medical personnel's orbit information to when medical personnel wore this protective clothing and passes through aseptic district, clean district, semi-clean district, virus pollution district, virus infection district, medical office, treatment room in proper order, note a complete removal orbit. The medical article is provided with a track recording module which is used for recording the moving track of a user of the medical article and the track of the medical article which is stopped historically.
Determining a risk level of the medical waste based on the user information.
In this embodiment, users of each medical article may be different, for example, volunteers outside the hospital wear protective clothing to perform community protection work, and because the number of germs on the protective clothing is relatively small without special cases outdoors, the corresponding risk level of the protective clothing is relatively low, and conversely, medical staff in the hospital wear protective clothing to perform clinical treatment work, the number of germs on the protective clothing is relatively large, and the corresponding risk level of the protective clothing is relatively high. According to the information of the medical waste user, determining the historical activity area of the user, and thus determining whether the user passes through the high risk infection area or not, if the user passes through the area, it is indicated that the medical waste corresponding to the user is possibly infected with more germs and the risk level of infection is higher, otherwise, it is indicated that the medical waste corresponding to the user is infected with fewer germs, for example, the protective clothing is worn in an area with smooth air for duty, and then the protective clothing is discarded, the germs infected on the protective clothing are necessarily relatively fewer, and the risk level is lower. Meanwhile, according to the determined risk level corresponding to the medical waste, the corresponding classified storage area to which the medical waste is conveyed is determined, so that different workers can conveniently treat the medical waste, and better harmless treatment of the medical waste is realized.
Therefore, different treatment personnel can be provided for the medical wastes in different regions, if the medical wastes are sent to the same address for harmless treatment, time and labor are consumed, and the medical wastes of various risk levels are concentrated, so that cross infection can be caused among the treatment personnel, for example, a person treating high-risk medical wastes is infected and then contacts a person treating low-risk medical wastes, and the infection range can be enlarged.
Determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff.
In this embodiment, the storage areas include a storage area for high risk medical waste and a storage area for low risk medical waste. And determining a storage area corresponding to the medical waste according to the risk grade of the medical waste, for example, storing the low-risk medical waste into the low-risk storage area, and waiting for independent workers to transport and harmlessly treat the medical waste, thereby avoiding the situation.
And extracting the medical waste recorded by the sequence information according to the sequence information.
Optionally, the determining the risk level of the medical waste according to the user information includes:
and determining M spatial regions where the user stays according to the movement track of the user, wherein M is more than or equal to 0 and is an integer, and the spatial regions are obtained by performing clustering processing according to a preset first step.
In this embodiment, the corresponding spatial position information is extracted according to the movement trajectory, so that M spatial regions where the user has stayed are determined according to the spatial position information. The spatial region may be one or more of an infected zone, a semi-infected zone, or a clean zone.
As shown in fig. 3, as the moving track of the user shows, the user may pass through a plurality of areas while moving. At a certain moment, if the user moves to only one of the larger spatial areas, for example, the user moves to only a medical office area in the infected area, the user leaves the office area suddenly due to the fact later, and if the user is directly marked to move to the office area, the movement track of the user is not convenient to form, so that the W spatial areas are combined to obtain M spatial areas according to the preset first distance.
For example, as shown in fig. 4, seven spatial regions, such as P0, P1, P2, P3, P4, P5, and P6, exist in the view of a1, where P4 to P6 belong to the same large spatial region, and if the user moves to the P4 or P5 region, the moving track is unclear and difficult to track by instantly marking the moving position of the user, so that spatial region clustering needs to be performed according to the attributes of the spatial regions, and as shown in the view of a2, the P4, the P5, and the P6 are merged to obtain C2; p2 and P1 were combined to give C3.
The attribute of the space region may be a name, a coverage relation, and the like of the space region. For example, a medical care room in an infection area belongs to the infection area, so that clustering of corresponding spatial areas is performed according to the infection area.
And determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to preset second and regional medical marking information.
And matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is more than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is more than or equal to 1, and K is an integer. And dividing the medical risk infected area into a plurality of reference risk grades of A, B, C and the like according to the number of confirmed infected patients to be treated in the preset reference time period. When sequencing all medical risk infected areas, if the reference risk levels of the medical risk infected areas are consistent, determining ranking according to the distance between the medical risk infected areas and the corresponding space area, for example, if the distance between the area A and the corresponding space area is greater than the distance between the area B and the corresponding space area, ranking backwards; and if the distances between the medical risk infected areas and the corresponding space areas are consistent, determining the rank according to the reference risk levels of the medical risk infected areas, and if the reference risk levels are consistent, determining that the medical risk infected areas with a large number of confirmed infected patients in the preset reference time period are ranked in the front, otherwise, determining that the ranks are consistent.
Optionally, the intersection area of each medical wind direction infected area and the corresponding space area is further determined, sorting is performed according to the reference risk level, the distance between each medical wind direction infected area and the corresponding space area, and the top K medical risk infected areas after sorting are determined as target medical risk infected areas.
For example, when there is a situation that the reference risk levels of at least two medical risk infection areas and the distances between the medical risk infection areas and the corresponding space areas are consistent, the intersection areas of the medical risk infection areas and the corresponding space areas are determined, and the ranking positions are adjusted according to the intersection areas, wherein the intersection areas are large and ranked first.
And if the matching successful area exists, determining the risk grade of the medical waste to be a first grade, and storing the medical waste into a first storage area.
And if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
Optionally, the determining the storage area of the medical waste according to the sequence information and the risk level includes:
and extracting the type information of the medical waste according to the sequence information.
Determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
And extracting a serial number positioned at a preset position in the sequence information according to the sequence information, matching the extracted serial number with a preset type code of the medical waste, and determining the type information of the medical waste.
Illustratively, the category information records a preset serial number position in the sequence information, and if the current sequence information is C8WJ97EFDTD2, sequentially extracts a fifth digit, and matches the extracted digit with the preset stored category information of the medical waste, so as to determine the type of the medical waste, for example, the type of the medical waste corresponding to the extracted digit 9 is protective clothing, if the risk level is a first level, it indicates that a user of the protective clothing may come in or go out of an infected area, and if the user wearing the protective clothing is a medical care worker, the medical waste is stored in an area a in a first storage area, and the area a is mainly used for storing non-sharp-pricked medical waste; if the risk level is a second level indicating that the user of the protective garment is primarily mobile, such as a carrier who dispenses materials wearing the protective garment, then the data is stored in zone A in a second storage area, which is primarily used to store non-sharp penetrating medical waste. If the type of the medical waste corresponding to the extracted number 9 is a needle and the risk level is a first level, storing the medical waste into a B area in a first storage area, wherein the B area is mainly used for storing sharp-pricked medical waste.
The storage region comprises a plurality of homogeneous sub-storage regions, such as region a1, region a2, region A3, region a4, region B1, region B2, region B3, region B4, and so on.
Optionally, the sequence information includes a serial number composed of one or more of numbers and letters, and each piece of medical waste has a unique serial number.
The sequence information may also include characters.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Corresponding to the medical waste classification processing method based on the internet of things in the foregoing embodiment, fig. 2 shows a structural block diagram of the medical waste classification processing system based on the internet of things provided in the embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
In a second aspect, the present application provides an internet of things-based medical waste classification processing system, which includes:
the first acquisition module is used for acquiring sequence information of the medical waste;
the second acquisition module is used for acquiring and processing user information corresponding to the medical waste according to the sequence information;
a determination module for determining a risk level of the medical waste based on the user information;
and the classified storage module is used for determining a storage area of the medical waste according to the sequence information and the risk level and storing the medical waste into the storage area.
Optionally, the determining module is further configured to determine, according to the movement track of the user, M spatial regions where the user stays, where M is greater than or equal to 0, M is an integer, and the spatial regions are obtained by performing clustering processing according to a preset first distance;
determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to a preset second distance and regional medical marking information;
matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is greater than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is greater than or equal to 1, and K is an integer;
if the successfully matched areas exist, determining the risk level of the medical waste to be a first level, and storing the medical waste into a first storage area;
and if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
Optionally, the classification storage module is further configured to extract category information of the medical waste according to the sequence information;
determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
In a third aspect, the present application provides a computer-readable storage medium, which stores computer-readable instructions, wherein the computer-readable instructions, when executed by a processor, implement the medical waste classification processing method.
In a fourth aspect, the present application provides a computer program product, which when run on a terminal device, causes the terminal device to execute the medical waste classification processing method of any one of the above first aspects.
It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, e.g., well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
It is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this invention. The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (4)
1. An Internet of things-based medical waste classification treatment method is characterized by comprising the following steps:
acquiring sequence information of medical waste;
acquiring user information corresponding to the medical waste according to the sequence information;
determining a risk level of the medical waste based on the user information;
determining a storage area of the medical waste according to the sequence information and the risk level, and storing the medical waste into the storage area to wait for harmless treatment of staff; the user information comprises the name, the working post and the moving track of the user; the determining a risk level of the medical waste from the user information comprises:
determining M spatial regions where the user stays according to the movement track of the user, wherein M is more than or equal to 0 and is an integer, and the spatial regions are obtained by clustering according to a preset first distance;
determining N medical risk infected areas within a preset distance range according to the M space areas, wherein N is more than or equal to 0 and is an integer, and the medical risk infected areas are obtained by clustering according to a preset second distance and regional medical marking information;
matching the M space areas with the N medical risk infection areas, wherein if the number of the medical risk infection areas matched with any one of the M space areas is greater than or equal to two, the distance between each medical risk infection area and the space area is obtained, sorting is carried out according to the reference risk level of each medical risk infection area and the distance between each medical risk infection area and the corresponding space area, the first K medical risk infection areas after sorting are determined to be target medical risk infection areas, otherwise, the space areas are matched with the medical risk infection areas, K is greater than or equal to 1, and K is an integer;
if the successfully matched areas exist, determining the risk level of the medical waste to be a first level, and storing the medical waste into a first storage area;
and if the matching fails, determining that the risk grade of the medical waste is a second grade, and storing the medical waste into a second storage area.
2. The method for classifying and processing medical wastes based on the internet of things as claimed in claim 1, wherein the determining the storage area of the medical wastes according to the sequence information and the risk level comprises:
extracting the type information of the medical waste according to the sequence information;
determining a storage area for the medical waste according to the category information and the risk level, and storing the medical waste to the storage area.
3. The internet-of-things-based medical waste classification processing method according to claim 2, wherein the sequence information is a serial number composed of one or more of numbers and letters, and each piece of medical waste has a unique serial number.
4. A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the medical waste sorting method of any one of claims 1 to 3.
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