CN117799989A - Control method and device for automatic medicine taking vehicle, computer equipment and storage medium - Google Patents
Control method and device for automatic medicine taking vehicle, computer equipment and storage medium Download PDFInfo
- Publication number
- CN117799989A CN117799989A CN202311664089.7A CN202311664089A CN117799989A CN 117799989 A CN117799989 A CN 117799989A CN 202311664089 A CN202311664089 A CN 202311664089A CN 117799989 A CN117799989 A CN 117799989A
- Authority
- CN
- China
- Prior art keywords
- target
- medicine
- medicine taking
- matched
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000003814 drug Substances 0.000 title claims abstract description 304
- 238000000034 method Methods 0.000 title claims abstract description 55
- 229940079593 drug Drugs 0.000 claims description 78
- 238000012377 drug delivery Methods 0.000 claims description 34
- 238000004949 mass spectrometry Methods 0.000 claims description 20
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 15
- 239000004615 ingredient Substances 0.000 claims description 15
- 238000001819 mass spectrum Methods 0.000 claims description 11
- 238000013528 artificial neural network Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 238000012795 verification Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 206010037660 Pyrexia Diseases 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The application relates to the technical field of robots and discloses a control method, a device, computer equipment and a storage medium of an automatic medicine taking vehicle, wherein the control method of the automatic medicine taking vehicle comprises the steps of obtaining target user information of a target user and determining corresponding target doctor advice information based on the target user information; controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information; and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position. Through the mode, the target medical advice information is acquired by identifying the target user information through the automatic medicine taking vehicle, the corresponding medicine is acquired according to the target medical advice information, and after verification, the target medicine is sent to the preset position for the user to take the medicine by himself, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Description
Technical Field
The present disclosure relates to the field of robotics, and in particular, to a method and apparatus for controlling an automated medicine taking vehicle, a computer device, and a storage medium.
Background
With the improvement of the intelligent and automation level, intelligent medicine cabinet equipment is started to appear, but the intelligent medicine cabinet equipment needs to be greatly improved in hospitals, and the medical treatment requirement of most regional hospitals does not allow the hospitals to stop to make medicine cabinet upgrading improvement. Therefore, the concept of an automatic medicine taking vehicle appears, and the automatic medicine taking vehicle is automatically and intelligently transformed on the basis of the existing hospital pharmacy and medicine cabinet, and can be in time transition to replace staff to automatically take medicine.
Currently, there are two ways for patients to obtain drugs, the first being to purchase them from a hospital pharmacy and the second being to purchase them from an external pharmacy store. But both of these modes of taking medicine have inconvenient places, first, the existing mode of taking medicine of hospital is: after the doctor opens the prescription for the patient, the patient holds the prescription and removes the special point of getting it filled, provides the prescription to the personnel of getting it filled, and the personnel of getting it filled gets it filled to the drugstore, leads to the fact personnel's allotment difficulty easily in the hospital that personnel are short, and this kind of traditional mode of getting it filled has not only prolonged patient's time of seeing doctor, influences patient experience, still brings the challenge to the order of hospital, and is more time consuming and laborious, has increased patient's trouble of seeking doctor. Second, a general medical store closes after 9 pm and cannot purchase medicines. And some common sudden diseases (fever, heart, blood pressure and other common diseases) can be treated by taking medicines at home in time. However, if the required stock medicines are temporarily short, only the patients can buy medicines at the hospital, which also adds to the trouble of patients or families. Therefore, how to improve the reliability of the automatic medicine taking vehicle for taking medicine becomes a technical problem to be solved.
Disclosure of Invention
The application provides a control method, a control device, computer equipment and a storage medium of an automatic medicine taking vehicle, so as to improve the reliability of medicine taking of the automatic medicine taking vehicle.
In a first aspect, the present application provides a control method of an automated drug delivery vehicle, the method comprising:
acquiring target user information of a target user, and determining corresponding target medical advice information based on the target user information;
controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information;
and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position.
Further, based on the target order information, controlling the automated drug delivery vehicle to reach a target drug rack and deliver a target drug, comprising:
performing mass spectrometry on the target drug by a mass spectrometry technology to generate a mass spectrometry result;
if the mass spectrometry analysis result is a medicine component abnormal result and/or a medicine concentration abnormal result, sending an alarm prompt signal through a voice module of the automatic medicine taking vehicle;
the drug ingredient abnormal result is that the to-be-analyzed drug ingredient of the mass spectrum analysis result is not matched with the target drug ingredient in the target medical advice, and the drug concentration abnormal result is that the to-be-analyzed drug concentration of the mass spectrum analysis result is not matched with the target drug concentration in the target medical advice.
Further, based on the target order information, after controlling the automated medicine taking cart to reach a target medicine rack and take a target medicine, the method further comprises:
judging whether the number of the target medicines is matched with the number of medicines in the target medical advice;
and under the condition that the number of the target medicines is not matched with the number of the medicines in the target medical advice, sending an alarm prompt signal through the voice module of the automatic medicine taking vehicle.
Further, obtaining target user information of a target user, and determining corresponding target order information based on the target user information, including:
acquiring a target face image of the target user through the face recognition module;
matching the target face image with face images of all users in a preset doctor advice library, and acquiring the target user information corresponding to the users matched with the target face image;
and acquiring the matched target medical advice information based on the target user information.
Further, matching the target face image with face images of all users in a preset doctor's advice library, and obtaining the target user information corresponding to the users matched with the target face image, including:
carrying out graying treatment on the target face image to generate a grayed face image to be matched;
extracting image features to be matched of the face images to be matched through a preset neural network;
calculating the similarity between the image features to be matched and all image features of face images of all users in the preset doctor advice library through a preset loss function;
and determining the user information corresponding to the face image with the highest similarity as the target user information.
Further, after obtaining the target user information of the target user and determining the corresponding target medical order information based on the target user information, the method comprises the following steps:
determining the predicted medicine taking time based on the current task quantity of the automatic medicine taking vehicle and the target doctor's advice information;
and feeding back the predicted medicine taking time to the target user.
Further, the control method of the automatic medicine taking vehicle further comprises the following steps:
when the task amount of the automatic medicine taking vehicle is larger than one, determining the medicine taking priority of the target medicine order information based on a preset priority principle, a preset medicine order library and the target medicine order information;
controlling the automatic medicine taking vehicle to finish medicine taking based on the medicine taking priority;
the preset priority principle comprises the urgent degree and time sequence of medical advice.
In a second aspect, the present application further provides a control device for an automated drug delivery vehicle, the device comprising:
the target medical advice information determining module is used for acquiring target user information of a target user and determining corresponding target medical advice information based on the target user information;
the target medicine acquisition module is used for controlling the automatic medicine taking vehicle to reach a target medicine rack and take a target medicine based on the target doctor's advice information;
and the target medicine transportation module is used for transporting the target medicine to a preset medicine taking position under the condition that the target medicine is determined to be matched with the target doctor's advice information.
In a third aspect, the present application also provides a computer device comprising a memory and a processor; the memory is used for storing a computer program; the processor is used for executing the computer program and realizing the control method of the automatic medicine taking vehicle when executing the computer program.
In a fourth aspect, the present application further provides a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to implement a control method of an automated drug delivery vehicle as described above.
The application discloses a control method, a device, computer equipment and a storage medium of an automatic medicine taking vehicle, wherein the control method of the automatic medicine taking vehicle comprises the steps of obtaining target user information of a target user and determining corresponding target doctor's advice information based on the target user information; controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information; and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position. Through the mode, the target medical advice information is acquired by identifying the target user information through the automatic medicine taking vehicle, the corresponding medicine is acquired according to the target medical advice information, and after verification, the target medicine is sent to the preset position for the user to take the medicine by himself, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a second embodiment of the present application;
FIG. 3 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a third embodiment of the present application;
FIG. 4 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a fourth embodiment of the present application;
FIG. 5 is a schematic block diagram of a control device of an automated drug delivery vehicle according to an embodiment of the present application;
fig. 6 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
It is to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The embodiment of the application provides a control method and device of an automatic medicine taking vehicle, computer equipment and a storage medium. The control method of the automatic medicine taking vehicle can be applied to a server, the automatic medicine taking vehicle is used for identifying target user information to obtain target medical advice information, corresponding medicines are obtained according to the target medical advice information, after verification, the target medicines are sent to a preset position for users to take the medicines by themselves, and the medicine taking reliability of the automatic medicine taking vehicle is improved. The server may be an independent server or a server cluster.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a first embodiment of the present application. The control method of the automatic medicine taking vehicle can be applied to a server, and is used for acquiring target medical advice information by identifying target user information through the automatic medicine taking vehicle, acquiring corresponding medicines according to the target medical advice information, and sending the target medicines to a preset position for a user to take the medicines by himself after verification, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
As shown in fig. 1, the control method of the automated medicine taking vehicle specifically includes steps S10 to S30.
Step S10, acquiring target user information of a target user, and determining corresponding target medical order information based on the target user information;
step S20, controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicines based on the target doctor' S advice information;
and step S30, under the condition that the target medicine is determined to be matched with the target doctor' S advice information, conveying the target medicine to a preset medicine taking position.
The embodiment discloses a control method, a device, computer equipment and a storage medium of an automatic medicine taking vehicle, wherein the control method of the automatic medicine taking vehicle comprises the steps of obtaining target user information of a target user and determining corresponding target doctor's advice information based on the target user information; controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information; and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position. Through the mode, the target medical advice information is acquired by identifying the target user information through the automatic medicine taking vehicle, the corresponding medicine is acquired according to the target medical advice information, and after verification, the target medicine is sent to the preset position for the user to take the medicine by himself, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a control method of an automated drug delivery vehicle according to a second embodiment of the present application. The control method of the automatic medicine taking vehicle can be applied to a server, and is used for acquiring target medical advice information by identifying target user information through the automatic medicine taking vehicle, acquiring corresponding medicines according to the target medical advice information, and sending the target medicines to a preset position for a user to take the medicines by himself after verification, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Based on the embodiment shown in fig. 1, in this embodiment, as shown in fig. 2, step S20 is followed by steps S21 to S22.
S21, performing mass spectrometry on the target drug by a mass spectrometry technology to generate a mass spectrometry result;
step S22, if the mass spectrometry analysis result is a medicine component abnormal result and/or a medicine concentration abnormal result, an alarm prompt signal is sent out through a voice module of the automatic medicine taking vehicle;
the drug ingredient abnormal result is that the to-be-analyzed drug ingredient of the mass spectrum analysis result is not matched with the target drug ingredient in the target medical advice, and the drug concentration abnormal result is that the to-be-analyzed drug concentration of the mass spectrum analysis result is not matched with the target drug concentration in the target medical advice.
Referring to fig. 3, fig. 3 is a schematic flowchart of a control method of an automated drug delivery vehicle according to a third embodiment of the present application. The control method of the automatic medicine taking vehicle can be applied to a server, and is used for acquiring target medical advice information by identifying target user information through the automatic medicine taking vehicle, acquiring corresponding medicines according to the target medical advice information, and sending the target medicines to a preset position for a user to take the medicines by himself after verification, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Based on the embodiment shown in fig. 1, in this embodiment, as shown in fig. 3, step S20 further includes steps S23 to S24.
Step S23, judging whether the number of the target medicines is matched with the number of medicines in the target medical advice;
and step S24, under the condition that the number of the target medicines is not matched with the number of the medicines in the target medical advice, sending an alarm prompt signal through a voice module of the automatic medicine taking vehicle.
Referring to fig. 4, fig. 4 is a schematic flowchart of a control method of an automated drug delivery vehicle according to a fourth embodiment of the present application. The control method of the automatic medicine taking vehicle can be applied to a server, and is used for acquiring target medical advice information by identifying target user information through the automatic medicine taking vehicle, acquiring corresponding medicines according to the target medical advice information, and sending the target medicines to a preset position for a user to take the medicines by himself after verification, so that the reliability of medicine taking of the automatic medicine taking vehicle is improved.
Based on the embodiment shown in fig. 1, in this embodiment, as shown in fig. 4, step S10 includes steps S1013 to S103.
Step S101, acquiring a target face image of the target user through the face recognition module;
step S102, matching the target face image with face images of all users in a preset doctor' S advice library, and acquiring the target user information corresponding to the users matched with the target face image;
step S103, based on the target user information, acquiring the matched target medical advice information.
Based on the embodiment shown in fig. 4, step S102 in this embodiment includes:
carrying out graying treatment on the target face image to generate a grayed face image to be matched;
extracting image features to be matched of the face images to be matched through a preset neural network;
calculating the similarity between the image features to be matched and all image features of face images of all users in the preset doctor advice library through a preset loss function;
and determining the user information corresponding to the face image with the highest similarity as the target user information.
Based on the embodiment shown in fig. 1, after step S10, the method includes:
determining the predicted medicine taking time based on the current task quantity of the automatic medicine taking vehicle and the target doctor's advice information;
and feeding back the predicted medicine taking time to the target user.
Based on all the above embodiments, in this embodiment, the control method of the automated medicine taking vehicle further includes:
when the task amount of the automatic medicine taking vehicle is larger than one, determining the medicine taking priority of the target medicine order information based on a preset priority principle, a preset medicine order library and the target medicine order information;
controlling the automatic medicine taking vehicle to finish medicine taking based on the medicine taking priority;
the preset priority principle comprises the urgent degree and time sequence of medical advice.
Referring to fig. 5, fig. 5 is a schematic block diagram of a control device of an automated drug delivery vehicle according to an embodiment of the present application, where the control device of the automated drug delivery vehicle is configured to execute the foregoing control method of the automated drug delivery vehicle. The control device of the automatic medicine taking vehicle can be configured on a server.
As shown in fig. 5, the control device 400 of the automated medicine taking vehicle includes:
the target medical advice information determining module 10 is configured to obtain target user information of a target user, and determine corresponding target medical advice information based on the target user information;
a target medicine acquisition module 20, configured to control the automated medicine taking cart to reach a target medicine rack and take a target medicine based on the target order information;
and a target medicine transporting module 30, configured to transport the target medicine to a preset medicine taking position if it is determined that the target medicine matches the target order information.
Further, the control device of the automated medicine taking vehicle comprises:
the mass spectrometry module is used for carrying out mass spectrometry on the target drug through a mass spectrometry technology to generate a mass spectrometry result;
the medicine abnormality warning module is used for sending a warning prompt signal through the voice module of the automatic medicine taking vehicle if the mass spectrum analysis result is a medicine component abnormality result and/or a medicine concentration abnormality result;
the drug ingredient abnormal result is that the to-be-analyzed drug ingredient of the mass spectrum analysis result is not matched with the target drug ingredient in the target medical advice, and the drug concentration abnormal result is that the to-be-analyzed drug concentration of the mass spectrum analysis result is not matched with the target drug concentration in the target medical advice.
Further, the control device of the automated medicine taking vehicle further comprises:
the medicine quantity judging module is used for judging whether the quantity of the target medicine is matched with the medicine quantity in the target doctor's advice;
and the medicine quantity alarming module is used for sending out an alarming prompt signal through the voice module of the automatic medicine taking vehicle under the condition that the quantity of the target medicine is not matched with the medicine quantity in the target medical advice.
Further, the target order information determination module 10 includes:
the target face image acquisition unit is used for acquiring a target face image of the target user through the face recognition module;
the face image matching unit is used for matching the target face image with face images of all users in a preset doctor advice library and acquiring the target user information corresponding to the users matched with the target face image;
and the target medical advice information acquisition unit is used for acquiring the matched target medical advice information based on the target user information.
Further, the face image matching unit includes:
the graying processing subunit is used for graying the target face image to generate a grayed face image to be matched;
the image feature matching subunit is used for extracting the image features to be matched of the face images to be matched through a preset neural network;
the similarity calculation subunit is used for calculating the similarity between the image features to be matched and all image features of face images of all users in the preset medical advice library through a preset loss function;
and the target user information determining subunit is used for determining the user information corresponding to the face image with the highest similarity as the target user information.
Further, the control device of the automated medicine taking vehicle further comprises:
the predicted medicine taking time determining module is used for determining the predicted medicine taking time based on the current task quantity of the automatic medicine taking vehicle and the target doctor's advice information;
and the predicted medicine taking time feedback module is used for feeding back the predicted medicine taking time to the target user.
Further, the control device of the automated medicine taking vehicle further comprises:
the medicine taking priority determining module is used for determining the medicine taking priority of the target medical advice information based on a preset priority principle, a preset medical advice library and the target medical advice information when the task amount of the automatic medicine taking vehicle is larger than one;
the priority medicine taking module is used for controlling the automatic medicine taking vehicle to finish medicine taking based on the medicine taking priority;
it should be noted that, for convenience and brevity of description, the specific working process of the apparatus and each module described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The apparatus described above may be implemented in the form of a computer program which is executable on a computer device as shown in fig. 6.
Referring to fig. 6, fig. 6 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device may be a server.
With reference to FIG. 6, the computer device includes a processor, memory, and a network interface connected by a system bus, where the memory may include a non-volatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform any of a number of automated drug delivery vehicle control methods.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in the non-volatile storage medium that, when executed by the processor, causes the processor to perform any of the methods of controlling the automated drug delivery vehicle.
The network interface is used for network communication such as transmitting assigned tasks and the like. It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-Programmable gate arrays (FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein in one embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
acquiring target user information of a target user, and determining corresponding target medical advice information based on the target user information;
controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information;
and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position.
In one embodiment, based on the target order information, the automated drug delivery vehicle is controlled to achieve:
performing mass spectrometry on the target drug by a mass spectrometry technology to generate a mass spectrometry result;
if the mass spectrometry analysis result is a medicine component abnormal result and/or a medicine concentration abnormal result, sending an alarm prompt signal through a voice module of the automatic medicine taking vehicle;
the drug ingredient abnormal result is that the to-be-analyzed drug ingredient of the mass spectrum analysis result is not matched with the target drug ingredient in the target medical advice, and the drug concentration abnormal result is that the to-be-analyzed drug concentration of the mass spectrum analysis result is not matched with the target drug concentration in the target medical advice.
In one embodiment, based on the target order information, the automated drug delivery vehicle is further controlled to achieve:
judging whether the number of the target medicines is matched with the number of medicines in the target medical advice;
and under the condition that the number of the target medicines is not matched with the number of the medicines in the target medical advice, sending an alarm prompt signal through the voice module of the automatic medicine taking vehicle.
In one embodiment, target user information of a target user is obtained, and corresponding target order information is determined based on the target user information, so as to realize:
acquiring a target face image of the target user through the face recognition module;
matching the target face image with face images of all users in a preset doctor advice library, and acquiring the target user information corresponding to the users matched with the target face image;
and acquiring the matched target medical advice information based on the target user information.
In one embodiment, the target face image is matched with face images of all users in a preset doctor's advice library, and the target user information corresponding to the users matched with the target face image is obtained, so as to realize:
carrying out graying treatment on the target face image to generate a grayed face image to be matched;
extracting image features to be matched of the face images to be matched through a preset neural network;
calculating the similarity between the image features to be matched and all image features of face images of all users in the preset doctor advice library through a preset loss function;
and determining the user information corresponding to the face image with the highest similarity as the target user information.
In one embodiment, after obtaining target user information of a target user and determining corresponding target order information based on the target user information, the method is used for realizing:
determining the predicted medicine taking time based on the current task quantity of the automatic medicine taking vehicle and the target doctor's advice information;
and feeding back the predicted medicine taking time to the target user.
In one embodiment, the control method of the automated drug delivery vehicle is further used for realizing:
when the task amount of the automatic medicine taking vehicle is larger than one, determining the medicine taking priority of the target medicine order information based on a preset priority principle, a preset medicine order library and the target medicine order information;
controlling the automatic medicine taking vehicle to finish medicine taking based on the medicine taking priority;
the preset priority principle comprises the urgent degree and time sequence of medical advice.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, the computer program comprises program instructions, and the processor executes the program instructions to realize the control method of any automatic medicine taking vehicle provided by the embodiment of the application.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which are provided on the computer device.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A control method of an automated drug delivery vehicle, wherein the control method of the automated drug delivery vehicle is applied to the automated drug delivery vehicle, the method comprising:
acquiring target user information of a target user, and determining corresponding target medical advice information based on the target user information;
controlling the automatic medicine taking vehicle to reach a target medicine rack and take target medicine based on the target doctor's advice information;
and under the condition that the target medicine is determined to be matched with the target doctor's advice information, conveying the target medicine to a preset medicine taking position.
2. The method for controlling an automated drug delivery vehicle according to claim 1, wherein the controlling the automated drug delivery vehicle to reach a target drug rack and deliver a target drug based on the target order information comprises:
performing mass spectrometry on the target drug by a mass spectrometry technology to generate a mass spectrometry result;
if the mass spectrometry analysis result is a medicine component abnormal result and/or a medicine concentration abnormal result, sending an alarm prompt signal through a voice module of the automatic medicine taking vehicle;
the drug ingredient abnormal result is that the to-be-analyzed drug ingredient of the mass spectrum analysis result is not matched with the target drug ingredient in the target medical advice, and the drug concentration abnormal result is that the to-be-analyzed drug concentration of the mass spectrum analysis result is not matched with the target drug concentration in the target medical advice.
3. The method for controlling an automated drug delivery vehicle according to claim 1, wherein the controlling the automated drug delivery vehicle to reach a target drug rack and deliver a target drug based on the target order information further comprises:
judging whether the number of the target medicines is matched with the number of medicines in the target medical advice;
and under the condition that the number of the target medicines is not matched with the number of the medicines in the target medical advice, sending an alarm prompt signal through the voice module of the automatic medicine taking vehicle.
4. The method for controlling an automated drug delivery vehicle according to claim 1, wherein the automated drug delivery vehicle includes a face recognition module, the obtaining target user information of a target user, and determining corresponding target order information based on the target user information, includes:
acquiring a target face image of the target user through the face recognition module;
matching the target face image with face images of all users in a preset doctor advice library, and acquiring the target user information corresponding to the users matched with the target face image;
and acquiring the matched target medical advice information based on the target user information.
5. The method for controlling an automated medicine taking vehicle according to claim 4, wherein the matching the target face image with face images of all users in a preset order library, and acquiring the target user information corresponding to the users matched with the target face image, includes:
carrying out graying treatment on the target face image to generate a grayed face image to be matched;
extracting image features to be matched of the face images to be matched through a preset neural network;
calculating the similarity between the image features to be matched and all image features of face images of all users in the preset doctor advice library through a preset loss function;
and determining the user information corresponding to the face image with the highest similarity as the target user information.
6. The method for controlling an automated medicine taking vehicle according to claim 1, wherein after obtaining target user information of a target user and determining corresponding target order information based on the target user information, the method comprises:
determining the predicted medicine taking time based on the current task quantity of the automatic medicine taking vehicle and the target doctor's advice information;
and feeding back the predicted medicine taking time to the target user.
7. The control method of an automated drug delivery vehicle according to any one of claims 1 to 6, further comprising:
when the task amount of the automatic medicine taking vehicle is larger than one, determining the medicine taking priority of the target medicine order information based on a preset priority principle, a preset medicine order library and the target medicine order information;
controlling the automatic medicine taking vehicle to finish medicine taking based on the medicine taking priority;
the preset priority principle comprises the urgent degree and time sequence of medical advice.
8. A control device for an automated drug delivery vehicle, comprising:
the target medical advice information determining module is used for acquiring target user information of a target user and determining corresponding target medical advice information based on the target user information;
the target medicine acquisition module is used for controlling the automatic medicine taking vehicle to reach a target medicine rack and take a target medicine based on the target doctor's advice information;
and the target medicine transportation module is used for transporting the target medicine to a preset medicine taking position under the condition that the target medicine is determined to be matched with the target doctor's advice information.
9. A computer device, the computer device comprising a memory and a processor;
the memory is used for storing a computer program;
the processor for executing the computer program and for implementing the control method of an automated drug delivery vehicle according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to implement the control method of an automated drug delivery vehicle according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311664089.7A CN117799989A (en) | 2023-12-06 | 2023-12-06 | Control method and device for automatic medicine taking vehicle, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311664089.7A CN117799989A (en) | 2023-12-06 | 2023-12-06 | Control method and device for automatic medicine taking vehicle, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117799989A true CN117799989A (en) | 2024-04-02 |
Family
ID=90419567
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311664089.7A Pending CN117799989A (en) | 2023-12-06 | 2023-12-06 | Control method and device for automatic medicine taking vehicle, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117799989A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112908447A (en) * | 2021-03-29 | 2021-06-04 | 建信金融科技有限责任公司 | Control method and device for taking medicine from patient, electronic equipment and storage medium |
-
2023
- 2023-12-06 CN CN202311664089.7A patent/CN117799989A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112908447A (en) * | 2021-03-29 | 2021-06-04 | 建信金融科技有限责任公司 | Control method and device for taking medicine from patient, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2022235534B2 (en) | System, method, and apparatus for electronic patient care | |
| US20220122002A1 (en) | System, Method, and Apparatus for Electronic Patient Care | |
| US20220223283A1 (en) | System, method, and apparatus for electronic patient care | |
| US20210308366A1 (en) | System, Method, and Apparatus for Electronic Patient Care | |
| AU2018206793B2 (en) | System, method, and apparatus for electronic patient care | |
| US10108785B2 (en) | System, method, and apparatus for electronic patient care | |
| US11881307B2 (en) | System, method, and apparatus for electronic patient care | |
| US20100130933A1 (en) | Medication managment system | |
| CN117799989A (en) | Control method and device for automatic medicine taking vehicle, computer equipment and storage medium | |
| US20150335244A1 (en) | Monitor Defibrillator Telemedicine Server | |
| JP2023022025A (en) | System, method and device for electronic patient care | |
| CN112489746A (en) | Task pushing method and device for data management, electronic equipment and storage medium | |
| CN112712870A (en) | Internet hospital medication scheme determination method and device | |
| CN115998621A (en) | Medicine management box-based medicine reminding method, device, medium and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |