Intelligent unattended medical transportation and sale vehicle and business mode thereof

Abstract

The invention provides an intelligent unattended medical transportation and sale vehicle, and relates to the technical field of medical health services, and the intelligent unattended medical transportation and sale vehicle comprises a main body which is used for storing and transporting medicines; the information interaction platform is connected with the user terminal equipment and the main body, a user inputs symptom description information through the terminal equipment, and the information interaction platform analyzes the symptom description information, obtains a disease category, generates a corresponding prescription and sends the corresponding prescription to the main body; a path planning module which is arranged on the main body, plans a transportation path based on the prescription and the stored medicine remaining amount, and drives the main body to carry out distribution according to the planned path; the identity recognition module is arranged on the main body and is used for recognizing user information and delivering the medicine after the medicine is delivered; the medical service quality and efficiency can be remarkably improved, and a more convenient, safer and more efficient medical solution is provided for patients.

Description

Technical Field

[0001] The present invention relates to the field of medical health service technology, and in particular to an intelligent unmanned medical transportation and sales vehicle and a business model thereof. Background Art

[0002] With the advancement of science and technology and the development of society, people's demand for medical services continues to increase; the traditional medical service model faces some challenges, such as uneven distribution of medical resources and inconvenience in seeking medical treatment in remote areas; in recent years, with the application of technologies such as the Internet of Things and artificial intelligence, smart medical equipment and services have developed rapidly; for example, telemedicine services and smart diagnosis systems have begun to be applied in actual scenarios, effectively alleviating some problems of shortage of medical resources;

[0003] However, the following major problems still exist in the existing medical service system:

[0004] 1. Low distribution efficiency: Traditional drug distribution methods rely on manual operations, which is not only time-consuming but also prone to distribution errors;

[0005] 2. Difficulty in drug inventory management: Due to the lack of an effective inventory management system, pharmacies and medical institutions often find it difficult to accurately grasp the inventory status of drugs, resulting in drug shortages or surpluses;

[0006] 3. It is inconvenient for patients to seek medical treatment: For patients with limited mobility, it is very inconvenient to go to the hospital or pharmacy to buy medicines;

[0007] Therefore, how to provide patients with more convenient, safe and efficient medical services has become a technical problem that needs to be solved urgently in this field. Summary of the invention

[0008] The present invention provides an intelligent unmanned medical transport and sales vehicle and its business model, which realizes the intelligent distribution, efficient management and safe use of medicines by integrating advanced information technology and automation equipment, and solves the above-mentioned technical problems.

[0009] In one aspect, the present invention provides a smart unattended medical transport vehicle, comprising:

[0010] A main body, which is used to store and transport medicines;

[0011] An information interaction platform connected to a user terminal device and the subject, wherein the user inputs symptom description information through the terminal device, and the information interaction platform analyzes the symptom description information, obtains the disease category, generates a corresponding prescription and sends it to the subject;

[0012] A route planning module, which is arranged on the main body, plans a transportation route based on the prescription and the remaining amount of stored medicines, and drives the main body to deliver according to the planned route;

[0013] The identity recognition module is arranged on the main body and is used to identify the user information and deliver the medicine after delivery.

[0014] According to the present invention, a smart unattended medical transport vehicle is provided, wherein the main body comprises:

[0015] A medicine storage box, which is used to store medicines; the medicine storage box is provided with a plurality of storage layers;

[0016] An identification unit, which is used to identify the name of each medicine on the placement layer and the position of each medicine on the placement layer;

[0017] A delivery table, which is arranged at the exit of the medicine storage box;

[0018] The grabbing device has a working mode including a storage mode and a delivery mode; the storage mode is to grab the medicines placed on the delivery platform in sequence and place them neatly in the placement layer; the delivery mode is to grab the designated medicines on the placement layer in sequence and place them neatly on the delivery platform;

[0019] A walking mechanism, which is connected to the path planning module and drives and controls the walking action through the planned path;

[0020] The disease diagnosis terminal is used to obtain the user's symptom description information on site.

[0021] According to the intelligent unattended medical transportation and sales vehicle provided by the present invention, the information interaction platform includes:

[0022] A user description unit is connected to the user terminal device and the disease diagnosis terminal to obtain the user's symptom description information; the symptom description information is in text mode, including the symptom description text input by the user, historical diagnosis documents and drug names; if the information obtained by the disease diagnosis terminal is voice, it is converted into text form;

[0023] A symptom analysis unit connected to the user description unit, for the case where the symptom description information is a symptom description text or a historical diagnosis document, a preset symptom analysis model is used for determination, and probability distribution information of each symptom provided by the user is generated;

[0024] A category confirmation unit is connected to the symptom analysis unit, and a decision tree model is pre-established. Each branch node of the decision tree model corresponds to symptom information, and the leaf node of each branch node corresponds to the disease category, and a drug item list is pre-inserted at each leaf node. Each drug in the drug item list is used to treat its corresponding disease category; at the same time, a probability distribution threshold is pre-set at each branch node of the decision tree model; the probability distribution information of each symptom is input into the decision tree model for threshold judgment, and the disease category information of the user is generated;

[0025] A prescription generating unit connected to the category confirming unit and the user describing unit; determining the names of the drugs in the drug item list based on the disease category information, generating a combined prescription based on the names of the drugs and sending it to the user terminal device for the user to select; and generating a prescription list and a corresponding price after the selection is completed;

[0026] The combination prescription includes the name of each drug, the symptom solved by each drug name, and the price, and the user selects the required drug and quantity through the terminal device;

[0027] The payment unit is used to establish a payment channel between the user terminal device and the operator. The user pays the operator according to the price corresponding to the prescription, and the purchase identity is fed back to the user terminal device after the payment is successful.

[0028] According to the intelligent unattended medical transport and sales vehicle provided by the present invention, the prescription generation unit further includes:

[0029] Obtain the remaining quantity of each medicine name in the current medicine storage box, as well as the distance between the current main body and the user's delivery address;

[0030] Displaying the remaining quantity of each drug name in the combined prescription and displaying the fastest arrival time calculated based on the distance between the subject and the user's delivery address;

[0031] If the symptom description information is the name of a drug, a prescription and the corresponding price are directly generated.

[0032] According to the intelligent unattended medical transportation vehicle provided by the present invention, in the symptom analysis unit, the symptom analysis model is:

[0033]

[0034] Among them, TF·IDF(t,ω i ) is the TF-IDF value, which is used to reflect the symptoms ω iThe importance of t in the symptom description information; d is the total number of words in the symptom description information, X(t, d) is the number of times word t appears in the total number of words d; D is the total number of sentences in the symptom description information, which is the number of sentences containing word t in the symptom description information;

[0035] Among them, z i is TF·IDF(t,ω i ), n is the logistic regression value of i The number of synonyms, β0 is the basic weight coefficient, β i Symptoms i The weight coefficient of

[0036] Among them, y i is the symptom label, i is the symptom index, P(y i |d) is the symptom label y i Corresponding symptom probability distribution information.

[0037] According to the intelligent unattended medical transportation vehicle provided by the present invention, the path planning module includes:

[0038] a medicine dispensing analysis unit connected to the prescription generating unit and the payment unit, and configured to generate feedback information after payment is completed to validate the medicine dispensing order; based on the medicines involved in the medicine dispensing order, determine the current stock of each medicine in the medicine storage box through the identification unit;

[0039] A planning unit connected to the dispensing analysis unit is used to plan a path from the current location of the subject to the user's delivery address if the current inventory meets the demand;

[0040] If the current stock does not meet the demand, a number of pharmacies close to the user's delivery address are searched in the electronic map, and information about the required drugs is sent to each pharmacy. The first confirmed pharmacy is defined as the transfer point, and a travel path along the current location of the subject, the transfer point, and the user's delivery address is planned;

[0041] A path execution unit is connected to the planning unit and the traveling mechanism, and is used to control the traveling mechanism to move along the path planned by the planning unit.

[0042] According to the intelligent unattended medical transport vehicle provided by the present invention, the identity recognition module includes:

[0043] A verification unit connected to the payment unit, used to verify the user's purchase identity after the subject arrives at the user's delivery location, and after successful verification, drive the grabbing device to execute the delivery mode, placing the corresponding medicine in the prescription on the delivery table for the user to use;

[0044] The monitoring unit is used to collect and record the user's portrait data during the identity authentication process and the delivery process as evidence of abnormal delivery behavior.

[0045] According to the present invention, a smart unattended medical transport vehicle further comprises:

[0046] For the shipment of prescription drugs, after generating the dispensing order, send it to the operator's physician to issue a confirmation order;

[0047] When the main body reaches the transfer point, the medicines on the delivery table are continuously detected; after the medicines are detected, the gripping device is driven to execute the storage mode to store the corresponding medicines at the placement layer.

[0048] On the other hand, the present invention provides a business model based on the above-mentioned intelligent unattended medical transportation vehicle, including:

[0049] In terms of products and services, users place orders for medicines through terminal devices, and medical transport vehicles provide instant delivery services for medicines; for prescription drugs, users can consult doctors through the platform through remote video, voice calls, and text chats; medical equipment can also be carried on the main body for basic examinations, and necessary first aid equipment can be provided for emergencies;

[0050] In terms of operations, the entity adopts autonomous driving technology, uses big data analysis to predict peak demand periods and regions, arranges vehicle deployment reasonably, and establishes cooperative relationships with pharmaceutical companies and insurance companies to share profits;

[0051] In terms of profitability, it obtains direct income through drug sales; launches membership programs, provides value-added services such as regular health checks and priority delivery; vehicle body advertising and partner promotion; and sells anonymous health data to research institutions and pharmaceutical companies;

[0052] In terms of marketing, we increase brand awareness through social media, online advertising, etc.; hold health lectures and free physical examinations to attract potential users; and cooperate with local medical institutions to jointly promote services.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. Improve the accessibility of medical services: Unmanned medical delivery vehicles can cover a wider area, especially remote areas, making it easier for local residents to obtain medicines and other medical services;

[0055] 2. Improve the efficiency and accuracy of drug delivery: Automated route planning ensures fast and accurate delivery of drugs from the warehouse to the patient, reducing the possibility of manual errors;

[0056] 3. Strengthen drug inventory management: Real-time monitoring of the drug inventory in the medicine box can ensure timely replenishment, avoid drug shortages or surpluses, and improve the efficiency of inventory management;

[0057] 4. Ensure the safety of drugs: For prescription drugs, the compliance of drug use is ensured through physician review, and the identity recognition module ensures that drugs are only delivered to authorized users, enhancing security;

[0058] 5. Simplify the communication process between doctors and patients: Users can easily input symptom descriptions through terminal devices, and the system automatically analyzes and generates prescriptions, reducing communication barriers between doctors and patients;

[0059] 6. Reduce medical costs: Automated and intelligent operations reduce the need for manpower, reduce operating costs, and may also reduce additional costs caused by incorrect medication;

[0060] 7. Improve patient experience: Quick response and accurate delivery improve patient satisfaction, allowing patients to get the drugs they need in a short time;

[0061] 8. Promote the intelligentization of medical services: By using artificial intelligence technology and Internet of Things technology, medical services are promoted to develop in the direction of intelligence, providing a foundation for the innovation of future medical services;

[0062] In summary, the present invention not only solves the problems in the prior art, but also significantly improves the quality and efficiency of medical services, providing patients with a more convenient, safe and efficient medical solution.

[0063] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0066] In the attached picture:

[0067] Figure 1 It is a schematic diagram of the system structure of a smart unattended medical transportation and sales vehicle provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0068] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0069] Example 1

[0070] In this embodiment, a smart unmanned medical transport vehicle is provided. Figure 1 ,include:

[0071] A main body, which is used to store and transport medicines;

[0072] An information interaction platform is connected to the user terminal device and the subject. The user inputs symptom description information through the terminal device. The information interaction platform analyzes the symptom description information, obtains the disease category, generates a corresponding prescription and sends it to the subject.

[0073] A route planning module is provided on the main body, plans a transportation route based on the prescription and the remaining amount of stored medicines, and drives the main body to deliver according to the planned route;

[0074] An identity recognition module, which is provided on the main body and is used to identify user information and deliver drugs after delivery;

[0075] The principle of the above embodiment is: the user inputs symptom description information through a mobile phone APP or other terminal device; after receiving this information, the information interaction platform uses AI technology to analyze and determine the possible disease type, and generates a corresponding prescription based on this; the path planning module plans the shortest or optimal delivery route according to the generated prescription and the inventory of medicines in the medicine box; the main body starts delivery according to the planned route; after arriving at the destination, the identity of the recipient is confirmed by the identity recognition module to ensure that the medicine is picked up by the right person;

[0076] The beneficial effects of the above embodiments are: automated operation greatly improves the speed and accuracy of drug delivery and reduces human errors; reduces manpower requirements and reduces operating costs; can cover remote areas, allowing more people to enjoy convenient medical services; ensures the safe delivery of drugs through identity recognition, reducing the risk of drug loss or mis-collection; users can obtain the required drugs through simple operations, reducing waiting time and improving satisfaction; realizes intelligent management of drug inventory and distribution processes, and facilitates monitoring and adjustment of drug inventory.

[0077] In order to further optimize the above embodiment, the subject includes:

[0078] A medicine storage box is used to store medicines; a plurality of storage layers are arranged in the medicine storage box;

[0079] An identification unit, which is used to identify the name of each medicine at the placement layer and the position of each medicine at the placement layer;

[0080] A delivery table, which is located at the exit of the medicine storage box;

[0081] The grabbing device has two working modes: storage mode and delivery mode. The storage mode is to grab the medicines placed on the delivery platform in sequence and place them neatly on the placement layer. The delivery mode is to grab the designated medicines on the placement layer in sequence and place them neatly on the delivery platform.

[0082] A walking mechanism, which is connected to the path planning module and drives and controls the walking action through the planned path;

[0083] The disease diagnosis terminal is used to obtain the user's symptom description information on site.

[0084] It should be noted that the medicine storage box is used to store various types of medicines; the medicine storage box is designed with multiple placement layers inside, and each placement layer can be used to place different types of medicines for classification management and quick search;

[0085] The identification unit is responsible for identifying the names and specific locations of the medicines on each layer in the medicine storage box. This function is usually achieved using barcodes, RFID tags or other image recognition technologies to ensure that the required medicines can be accurately located.

[0086] The delivery counter is set at the exit of the medicine storage box and is used to temporarily store the medicines to be delivered to the users. When the medicines are accurately taken out, they will be placed on this counter and wait for the users to pick them up.

[0087] Grabbing device: It has two working modes:

[0088] Storage mode: grab newly replenished medicines from the delivery counter and place them neatly in the corresponding placement layer;

[0089] Delivery mode: According to the instructions issued by the information interaction platform, the specified medicines are grabbed from the placement layer and neatly placed on the delivery table, waiting for the user to come and pick them up;

[0090] The walking mechanism is connected to the path planning module, and controls the movement of the entire body according to the planned path; it can autonomously navigate according to the preset route, or adjust the route in real time according to dynamic changes;

[0091] When the medicine needs to be replenished, the staff will place the medicine on the delivery table, and then the grabbing device will enter the storage mode and place the medicine into the corresponding placement layer according to category;

[0092] When a user places an order through the information interaction platform, the system automatically identifies the required medicines and their locations, and the gripping device enters the delivery mode, takes out the specified medicines from the medicine storage box, and places them on the delivery table;

[0093] The disease diagnosis terminal is used to take the user's pulse, draw blood, measure blood, blood test, bloodless detector, urine test, measure body temperature, take photos, angiography, MRI and other operations on the spot.

[0094] In order to further optimize the above embodiment, the information interaction platform includes:

[0095] A user description unit is connected to the user terminal device and the disease diagnosis terminal to obtain the user's symptom description information; the symptom description information is in text mode, including the symptom description text input by the user, historical diagnosis documents and drug names; if the information obtained by the disease diagnosis terminal is voice, it is converted into text form;

[0096] The symptom analysis unit is connected to the user description unit, and when the symptom description information is a symptom description text or a historical diagnosis document, a preset symptom analysis model is used for determination, and probability distribution information of each symptom provided by the user is generated;

[0097] The category confirmation unit is connected to the symptom analysis unit, and a decision tree model is pre-established. Each branch node of the decision tree model corresponds to the symptom information, and the leaf node of each branch node corresponds to the disease category. A drug item list is pre-inserted at each leaf node, and each drug in the drug item list is used to treat its corresponding disease category; at the same time, a probability distribution threshold is pre-set at each branch node of the decision tree model; the probability distribution information of each symptom is input into the decision tree model for threshold judgment, and the disease category information of the user is generated;

[0098] A prescription generating unit is connected to the category confirming unit and the user describing unit; based on the disease category information, the names of the drugs in the drug item list are determined, and a combined prescription is generated based on the names of the drugs and sent to the user terminal device for selection by the user. After the selection is completed, a prescription list and a corresponding price are generated;

[0099] The combination prescription includes the name of each drug, the symptoms that each drug name solves, and the price. The user selects the required drug and quantity through the terminal device;

[0100] The payment unit is used to establish a payment channel between the user terminal device and the operator. The user pays the operator according to the price corresponding to the prescription, and the purchase identity is fed back to the user terminal device after the payment is successful;

[0101] It should be noted that the user description unit is responsible for connecting to the user's terminal device (such as a smart phone, tablet computer, etc.) and receiving symptom description information submitted by the user; this information is provided in text form, including but not limited to symptom descriptions entered by the user, previous diagnosis records, and names of drugs that may have been tried; at the same time, it provides communication, voice conversion of symptom descriptions, cleaning and review, signature and other operations for the disease diagnosis terminal.

[0102] After receiving the symptom description information transmitted by the user description unit, the symptom analysis unit analyzes the text content using a preset symptom analysis model; the model identifies keywords in the symptom description text and historical diagnosis documents, and generates probability distribution information of user symptoms based on these keywords, that is, the probability of occurrence of each symptom;

[0103] The category confirmation unit further processes the data using a pre-established decision tree model based on the probability distribution information output by the symptom analysis unit. Each branch node of the decision tree represents different symptom information, while the leaf nodes correspond to possible disease categories. Each leaf node is also associated with a drug item table, which lists the drugs that can be used to treat this type of disease. In addition, a probability distribution threshold is set on each branch node of the decision tree. Based on the probability distribution information and threshold of the symptom, the user's disease category information is finally generated.

[0104] Based on the disease category information provided by the category confirmation unit, the prescription generation unit selects appropriate drugs from the drug item list and generates a combination prescription accordingly; the prescription contains the name of each drug, the corresponding treatment symptom and the unit price; the generated prescription will be sent to the user's terminal device, and the user can select the required drugs and their quantity according to their own needs and check the total price;

[0105] After the user has selected the required medicine and confirmed that it is correct, he can make the payment through the payment channel established by the payment unit. After the payment is completed, the system will send a notification of successful purchase to the user's terminal device, along with the purchase identity, for subsequent drug collection or delivery.

[0106] This embodiment can provide users with personalized diagnosis suggestions and prescription recommendations by analyzing the symptoms input by the user; the integrated payment function allows users to complete the payment process quickly and easily without additional operation steps; the accuracy and reliability of the diagnosis results are ensured through mechanisms such as decision tree models and probability distribution thresholds.

[0107] In order to further optimize the above embodiment, the prescription generating unit further includes:

[0108] Get the remaining quantity of each medicine name in the current medicine box, as well as the distance between the current entity and the user's delivery address;

[0109] Display the remaining quantity of each drug name in the combined prescription and display the fastest arrival time calculated based on the distance between the subject and the user's delivery address;

[0110] If the symptom description information is the name of the drug, the prescription and the corresponding price will be directly generated;

[0111] It should be noted that the prescription generation unit integrates the function of obtaining the name of each drug in the medicine box and its remaining quantity; this means that when generating a prescription, the system will automatically check the drug inventory and clearly mark the remaining quantity of each drug in the prescription; this helps to avoid the problem of order failure due to insufficient inventory; the prescription generation unit can also obtain the distance between the current entity location (such as a pharmacy or medical institution) and the user's delivery address, and calculate the fastest arrival time of the drug delivery based on this; in this way, the user can understand when the drug is expected to be delivered, so as to better plan his time;

[0112] If the user directly provides the name of the required medicine, the system will skip the process of symptom analysis and disease classification and directly generate the corresponding prescription and its corresponding price; in this case, the user can get the required medicine faster.

[0113] In order to further optimize the above embodiment, in the symptom analysis unit, the symptom analysis model is:

[0114]

[0115] Among them, TF·IDF(t,ω i ) is the TF-IDF value, which is used to reflect the symptoms ω i The importance of t in the symptom description information; d is the total number of words in the symptom description information, X(t, d) is the number of times word t appears in the total number of words d; D is the total number of sentences in the symptom description information, which is the number of sentences containing word t in the symptom description information;

[0116] Among them, z i is TF·IDF(t,ω i ), n is the logistic regression value of i The number of synonyms, β0 is the basic weight coefficient, β i Symptoms i The weight coefficient of

[0117] Among them, y i is the symptom label, i is the symptom index, P(y i |d) is the symptom label y i Corresponding symptom probability distribution information;

[0118] It should be noted that the TF-IDF value is used to measure the importance of a word to a document; it is composed of two parts: TF (Term Frequency) and IDF (Inverse Document Frequency); TF measures the frequency of a word in a document, while IDF measures the rarity of a word in the entire document collection; the more common a word is, the lower its IDF value is; the rarer a word is, the higher its IDF value is;

[0119] Logistic regression is used to predict the probability of symptom labels; by linearly combining the TF-IDF value and the corresponding weight coefficient, we can get a logistic regression result z i , and then converted into probability form P(y i |d);

[0120] The final probability distribution P(y i |d) can help us determine the most likely symptoms and diseases; this probability distribution can be used for diagnostic decisions and to support treatment recommendations;

[0121] The model needs to be trained with a large amount of symptom description data in order to learn the appropriate β0, β i ; In addition, the accuracy of the model needs to be validated to ensure that it can correctly identify and predict symptoms; new symptoms and diseases may emerge over time, so the model needs to be updated regularly to maintain its accuracy and relevance;

[0122] For users, they do not need to understand these complex calculation details; users only need to provide a description of the symptoms, and the system will feedback the diagnosis and suggestions of the disease.

[0123] In order to further optimize the above embodiment, the path planning module includes:

[0124] The medicine dispensing analysis unit is connected to the prescription generating unit and the payment unit, and is used to generate feedback information after the payment is completed to make the medicine dispensing order effective; based on the medicines involved in the medicine dispensing order, the stock of each medicine in the current medicine storage box is determined through the identification unit;

[0125] The planning unit is connected to the dispensing analysis unit. If the current inventory meets the demand, the planning unit obtains the path from the current location of the subject to the user's delivery address.

[0126] If the current stock does not meet the demand, the electronic map is searched for several drug stores close to the user's delivery address, and the information of the required drugs is sent to each drug store. The first confirmed drug store is defined as the transfer point, and a travel path along the current location of the subject, the transfer point, and the user's delivery address is planned;

[0127] A path execution unit, which is connected to the planning unit and the traveling mechanism, and is used to control the traveling mechanism to move along the path planned by the planning unit;

[0128] It should be noted that the route planning module is the key part of the entire system responsible for drug delivery. It ensures that drugs can be efficiently delivered to users from the medicine storage box or the nearest drugstore. The following is a detailed description of the various components of this module and how they interact with each other.

[0129] The process of the dispensing analysis unit is to activate after receiving the payment confirmation signal, analyze the drug requirements on the dispensing order, and check the inventory of each drug through the identification unit;

[0130] The process of planning unit is:

[0131] When the inventory is sufficient, the current location of the subject (i.e., the delivery vehicle) is obtained, and the path planning algorithm is used to calculate the shortest path from the current location of the subject to the user's delivery address;

[0132] When the stock is insufficient: search the electronic map for the drug store closest to the user's delivery address, send the information about the required drugs to the found drug store, define the first drug store that is confirmed to provide the required drugs as the transfer point, calculate the shortest path from the subject's current location to the transfer point, and then from the transfer point to the user's delivery address;

[0133] Specifically, the medication analysis unit needs to maintain real-time communication with the medicine storage box to ensure that the inventory information is up to date; if it is found that a certain drug is insufficient in stock, an alternative plan should be immediately initiated;

[0134] If insufficient drug inventory is common, consider establishing an automated drug replenishment mechanism to reduce the occurrence of this situation;

[0135] When choosing a pharmacy, in addition to considering the distance, you should also consider factors such as the pharmacy's reputation and the price of the medicines;

[0136] The path planning algorithm needs to take into account dynamic factors such as traffic conditions and weather conditions to avoid delays; for example, the A* algorithm, Dijkstra algorithm or other suitable algorithms can be used to calculate the shortest path.

[0137] The path execution unit needs to ensure that no accidents occur during the delivery process, such as avoiding crowded areas and obstacles.

[0138] When the medicine leaves the medicine storage box or the pharmacy, the system should notify the user of the estimated delivery time and location so that the user can prepare for receiving the medicine;

[0139] Through the above optimization measures, the efficiency and service quality of the system can be improved, ensuring that medicines can be delivered to users accurately.

[0140] In order to further optimize the above embodiment, the identity recognition module includes:

[0141] A verification unit connected to the payment unit is used to verify the user's purchase identity after the above-mentioned subject arrives at the user's delivery location, and after successful verification, drive the grasping device to execute the delivery mode, and place the corresponding medicine in the prescription on the delivery table for the user to use;

[0142] A monitoring unit, which is used to collect and record the user's portrait data during the identity authentication process and the delivery process as evidence of abnormal delivery behavior;

[0143] It should be noted that in order to increase security, a combination of multiple authentication methods can be used, such as passwords, biometrics (such as fingerprints, facial recognition), one-time verification codes, etc. to authenticate identity; when collecting user portrait data, it is necessary to ensure compliance with relevant laws and regulations and obtain the user's explicit consent; at the same time, encryption and other technical means should be adopted to protect user privacy; the main body can be equipped with a simple user interface to guide users through the identity authentication process; for example, the display can show step-by-step instructions, and voice prompts can also help users understand the ongoing operations;

[0144] In terms of traceability, all delivery processes can be recorded so that they can be traced back if there is a problem; this can be achieved through cloud services or other database systems;

[0145] Through the above optimization measures, the identity recognition module can be ensured to operate efficiently and reliably, thereby enhancing the security of the overall system and improving the user experience.

[0146] In order to further optimize the above embodiment, it also includes:

[0147] For the shipment of prescription drugs, after generating the dispensing order, send it to the operator's physician to issue a confirmation order;

[0148] When the subject reaches the transfer point, it continuously detects the drugs on the delivery table; after detecting the drugs, it drives the grabbing device to execute the storage mode and stores the corresponding drugs at the placement layer;

[0149] It should be noted that the data exchange involved in the entire process (such as prescription forms, confirmation forms, drug status, etc.) needs to be synchronized to the back-end in real time in order to track the status and location of the drugs; ensure that all transmitted data is encrypted securely to prevent information leakage or tampering.

[0150] Example 2

[0151] In this embodiment, a business model based on the above-mentioned intelligent unattended medical transportation and sales vehicle is provided, including:

[0152] In terms of products and services, users place orders for medicines through terminal devices, and medical transport vehicles provide instant delivery services for medicines. For prescription drugs, users can consult doctors through the platform through remote video, voice calls, and text chats. Medical equipment can also be installed on the main body for basic examinations, and necessary first aid equipment can be provided for emergencies.

[0153] In terms of operations, Ontology uses autonomous driving technology, uses big data analysis to predict peak demand times and regions, arranges vehicle deployment appropriately, and establishes partnerships with pharmaceutical companies and insurance companies to share profits;

[0154] In terms of profitability, it obtains direct income through drug sales; launches membership programs, provides value-added services such as regular health checks and priority delivery; vehicle body advertising and partner promotion; and sells anonymous health data to research institutions and pharmaceutical companies;

[0155] In terms of marketing, we will increase brand awareness through social media and online advertising; hold health lectures and free physical examinations to attract potential users; and cooperate with local medical institutions to jointly promote services;

[0156] It should be noted that it is necessary to ensure that all business processes comply with local laws and regulations, and pay special attention to protecting the personal privacy and health data security of users;

[0157] Establish a complete quality control system to ensure the quality and standards of medical services;

[0158] Regularly perform maintenance and technical upgrades on vehicles and equipment to ensure system stability and reliability;

[0159] Popularize health knowledge to users through various channels, strengthen communication with users, and understand their needs and feedback;

[0160] Consider environmental impact, adopt environmentally friendly materials and technologies, reduce carbon emissions, and promote sustainable business models;

[0161] Through the design of the above business model, an efficient, convenient and user-friendly medical vehicle transportation and sales service system can be built.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart unmanned medical transport vehicle, characterized in that: include: A main body for storing and transporting medicines; An information interaction platform connected to a user terminal device and the subject, wherein the user inputs symptom description information through the terminal device, and the information interaction platform analyzes the symptom description information, obtains the disease category, generates a corresponding prescription and sends it to the subject; A route planning module, which is arranged on the main body, plans a transportation route based on the prescription and the remaining amount of stored medicines, and drives the main body to deliver according to the planned route; The identity recognition module is arranged on the main body and is used to identify the user information and deliver the medicine after delivery.

2. The intelligent unattended medical transport vehicle according to claim 1, characterized in that: The subject includes: A medicine storage box, which is used to store medicines; the medicine storage box is provided with a plurality of storage layers; An identification unit, which is used to identify the name of each medicine on the placement layer and the position of each medicine on the placement layer; A delivery table, which is arranged at the exit of the medicine storage box; The grabbing device has a working mode including a storage mode and a delivery mode; the storage mode is to grab the medicines placed on the delivery platform in sequence and place them neatly in the placement layer; the delivery mode is to grab the designated medicines on the placement layer in sequence and place them neatly on the delivery platform; A walking mechanism, which is connected to the path planning module and drives and controls the walking action through the planned path; The disease diagnosis terminal is used to obtain the user's symptom description information on site.

3. The intelligent unattended medical transport vehicle according to claim 2, characterized in that: The path planning module includes: a medicine dispensing analysis unit connected to the prescription generating unit and the payment unit, and configured to generate feedback information after payment is completed to validate the medicine dispensing order; based on the medicines involved in the medicine dispensing order, determine the current stock of each medicine in the medicine storage box through the identification unit; A planning unit connected to the dispensing analysis unit is used to plan a path from the current location of the subject to the user's delivery address if the current inventory meets the demand; If the current stock does not meet the demand, a number of pharmacies close to the user's delivery address are searched in the electronic map, and information about the required drugs is sent to each pharmacy. The first confirmed pharmacy is defined as the transfer point, and a travel path along the current location of the subject, the transfer point, and the user's delivery address is planned; A path execution unit is connected to the planning unit and the traveling mechanism, and is used to control the traveling mechanism to move along the path planned by the planning unit.

4. The intelligent unattended medical transport vehicle according to claim 3 is characterized in that: The information interaction platform includes: A user description unit is connected to the user terminal device and the disease diagnosis terminal to obtain the user's symptom description information; the symptom description information is in text mode, including the symptom description text input by the user, historical diagnosis documents and drug names; if the information obtained by the disease diagnosis terminal is voice, it is converted into text form; A symptom analysis unit connected to the user description unit, for the case where the symptom description information is a symptom description text or a historical diagnosis document, a preset symptom analysis model is used for determination, and probability distribution information of each symptom provided by the user is generated; A category confirmation unit is connected to the symptom analysis unit, and a decision tree model is pre-established. Each branch node of the decision tree model corresponds to symptom information, and the leaf node of each branch node corresponds to the disease category, and a drug item list is pre-inserted at each leaf node. Each drug in the drug item list is used to treat its corresponding disease category; at the same time, a probability distribution threshold is pre-set at each branch node of the decision tree model; the probability distribution information of each symptom is input into the decision tree model for threshold judgment, and the disease category information of the user is generated; A prescription generating unit connected to the category confirming unit and the user describing unit; determining the names of the drugs in the drug item list based on the disease category information, generating a combined prescription based on the names of the drugs and sending it to the user terminal device for the user to select; and generating a prescription list and a corresponding price after the selection is completed; The combination prescription includes the name of each drug, the symptom solved by each drug name, and the price, and the user selects the required drug and quantity through the terminal device; The payment unit is used to establish a payment channel between the user terminal device and the operator. The user pays the operator according to the price corresponding to the prescription, and the purchase identity is fed back to the user terminal device after the payment is successful.

5. The intelligent unattended medical transportation vehicle according to claim 4 is characterized in that: The prescription generating unit further includes: Obtain the remaining quantity of each medicine name in the current medicine storage box, as well as the distance between the current main body and the user's delivery address; Displaying the remaining quantity of each drug name in the combined prescription and displaying the fastest arrival time calculated based on the distance between the subject and the user's delivery address; If the symptom description information is the name of a drug, a prescription and the corresponding price are directly generated.

6. The intelligent unattended medical transport vehicle according to claim 5, characterized in that: In the symptom analysis unit, the symptom analysis model is: Among them, TF·IDF(t,ω i ) is the TF-IDF value, which is used to reflect the symptoms ω i The importance of t in the symptom description information; d is the total number of words in the symptom description information, X(t, d) is the number of times word t appears in the total number of words d; D is the total number of sentences in the symptom description information, which is the number of sentences containing word t in the symptom description information; Among them, z i is TF·IDF(t,ω i ), n is the logistic regression value of i The number of synonyms, β0 is the basic weight coefficient, β i Symptoms i The weight coefficient of Among them, y i is the symptom label, i is the symptom index, P(y i |d) is the symptom label y i Corresponding symptom probability distribution information.

7. The intelligent unattended medical transport vehicle according to claim 6, characterized in that: The identity recognition module comprises: A verification unit connected to the payment unit, used to verify the user's purchase identity after the subject arrives at the user's delivery location, and after successful verification, drive the grabbing device to execute the delivery mode, placing the corresponding medicine in the prescription on the delivery table for the user to use; The monitoring unit is used to collect and record the user's portrait data during the identity authentication process and the delivery process as evidence of abnormal delivery behavior.

8. The intelligent unattended medical transport vehicle according to claim 7, characterized in that: Also includes: For the shipment of prescription drugs, after generating the dispensing order, send it to the operator's physician to issue a confirmation order; When the main body reaches the transfer point, the medicines on the delivery table are continuously detected; after the medicines are detected, the gripping device is driven to execute the storage mode to store the corresponding medicines at the placement layer.

9. A business model, applied to a smart unattended medical transport vehicle as described in claims 1-8, characterized in that: include: In terms of products and services, users place orders for medicines through terminal devices, and medical transport and sales vehicles provide instant drug delivery services; For prescription drugs, users can consult doctors through the platform through remote video, voice calls, and text chats; It is also possible to carry medical equipment on the main body to conduct basic inspections and provide necessary first aid equipment for emergencies; In terms of operations, the entity adopts autonomous driving technology, uses big data analysis to predict peak demand periods and regions, arranges vehicle deployment reasonably, and establishes cooperative relationships with pharmaceutical companies and insurance companies to share profits; In terms of profitability, we obtain direct income through drug sales; launch membership programs, provide value-added services such as regular health checks and priority delivery; vehicle body advertising and partner promotion; Selling anonymous health data to research institutions and pharmaceutical companies; In terms of marketing, we use social media and online advertising to increase brand awareness; we hold health lectures and free physical examinations to attract potential users; Cooperate with local medical institutions to jointly promote services.

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