Human tissue sample model application system, method and device based on Internet of Things

Abstract

The invention relates to a human tissue sample model application system, method and device based on the Internet of Things, and the system comprises a human tissue sample scanning and modeling module which is used for carrying out the quick 3D scanning of a human tissue sample of a user, and carrying out the modeling to obtain a human tissue sample model; the server is used for generating a coding identifier according to the human tissue sample model; the human tissue sample printing module is used for printing a human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample and feeding back printing task completion information to the server; and the bionic human tissue sample carrying module is used for constructing a carrying task according to the code identifier. The three independent links of scanning modeling, printing and carrying are interconnected through the network to form the Internet of Things, so that the human tissue sample model application is more intelligent and convenient, the existing human tissue sample model application program is simplified to a great extent, and the waiting time of a user is shortened.

Description

Technical Field

[0001] The present invention relates to the field of medical human tissue banks and supporting production, and in particular to an Internet of Things-based human tissue sample model application system, method and device. Background Art

[0002] Bionic human tissue samples are often used by people whose tissue samples have been lost due to natural disasters or accidents, as well as by donors. For example, for those who have lost a hand or leg due to a natural disaster or accident, installing a bionic human tissue sample is the best option. For another example, for donors of internal organs, their remains may be shrunken, and this incompleteness can create a psychological burden for the donor's family. Using bionic human tissue samples to fill and repair the remains is also a good option.

[0003] However, in the existing technology, the application of bionic human tissue samples has the problem of complex and time-consuming procedures. From user application to model production and then to model transportation, it takes a long time to wait. Moreover, since each link is relatively independent, multiple parties need to communicate and handle procedures online and offline. These complicated processes have seriously delayed the application of human tissue sample models. Summary of the Invention

[0004] The present invention provides a human tissue sample model application system, method and device based on the Internet of Things to solve at least one of the above technical problems.

[0005] The present invention solves the above technical problems with the following technical solutions: a human tissue sample model application system based on the Internet of Things, comprising a server and a human tissue sample scanning and modeling module, a human tissue sample printing module, and a bionic human tissue sample carrier module that are remotely connected to the server via a network and are distributed;

[0006] The human tissue sample scanning and modeling module is used to quickly perform 3D scanning and modeling on the user's human tissue sample to obtain a human tissue sample model, and upload the human tissue sample model to the server;

[0007] The server is configured to generate a coding identifier according to the human tissue sample model, and send the human tissue sample model to the human tissue sample printing module;

[0008] The human tissue sample printing module is used to print the human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample and to feed back printing task completion information to the server;

[0009] The server is further configured to send the coding identifier to the bionic human tissue sample carrier module after receiving the printing task completion information;

[0010] The bionic human tissue sample carrying module is used to construct a carrying task according to the coding identifier, and to carry the bionic human tissue sample based on the carrying task.

[0011] On the basis of the above technical solution, the present invention can also be improved as follows.

[0012] Furthermore, the human tissue sample scanning and modeling module includes:

[0013] A 3D scanning unit, used to perform a 3D scan on a user's human tissue sample to obtain 3D scanning data;

[0014] a 3D modeling unit, which stores a basic model of a human tissue sample, and is used to modify the basic model of the human tissue sample according to the 3D scanning data to obtain the human tissue sample model;

[0015] The model uploading unit is used to upload the human tissue sample model to the server.

[0016] Furthermore, the 3D scanning unit is specifically used to:

[0017] The user's age and physical indicators as well as the type of human tissue samples are processed based on a pre-built deep learning model to obtain a set of scan feature points;

[0018] A 3D scan is performed on the human tissue sample, and during the 3D scanning process, corresponding coordinate data is captured according to the scanning feature point set to obtain the 3D scanning data.

[0019] Furthermore, the 3D modeling unit is specifically used for:

[0020] Marking points corresponding to the scanning feature point set in the human tissue sample basic model;

[0021] Taking the point positions as a reference, the human tissue sample basic model is scaled and partially adjusted according to the coordinate data corresponding to the scanning feature point set to obtain the human tissue sample model.

[0022] Furthermore, the human tissue sample printing module is specifically used to:

[0023] Adaptively stratifying the human tissue sample model based on the human tissue sample type, and performing printing path planning according to the stratification results to obtain multiple stratified printing paths;

[0024] Controlling multiple 3D printers to operate in parallel according to multiple layered printing paths to synchronously 3D print each layer of the printing material, obtaining the bionic human tissue sample, and generating printing task completion information;

[0025] The print task completion information is uploaded to the server.

[0026] Furthermore, the main component of the printing material is lotus root starch, and the auxiliary components of the printing material include gelatin, chitosan, polycaprolactone, cellulose nanofiber and antioxidant.

[0027] Furthermore, the coding identifier includes the shipping address and the destination address;

[0028] The bionic human tissue sample carrier module includes:

[0029] A parsing unit, configured to parse the coding identifier to obtain the consignment address and the destination address;

[0030] a planning unit configured to plan a transportation route between the consignment address and the destination address by combining land and air transportation with the goal of minimizing transportation time, thereby obtaining the transportation task;

[0031] A transport unit is used to transport the bionic human tissue sample according to the transport task. Furthermore, the bionic human tissue sample transport module is also used to feed back the transport task to the server;

[0032] The server is further configured to generate a verification code according to the transport task and send the verification code to the bionic human tissue sample transport module;

[0033] The human tissue sample printing module is further used to verify the verification code before the bionic human tissue sample carrying module carries the bionic human tissue sample, and allow the bionic human tissue sample carrying module to perform the carrying task after the verification is passed.

[0034] On the basis of the above-mentioned human tissue sample model application system based on the Internet of Things, the present invention also provides a human tissue sample model application method based on the Internet of Things.

[0035] The human tissue sample model application method based on the Internet of Things is applied to the human tissue sample model application system based on the Internet of Things as described above, including:

[0036] Perform rapid 3D scanning and modeling of the user's human tissue sample to obtain a human tissue sample model;

[0037] generating a coding identifier according to the human tissue sample model;

[0038] Printing a human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample, and feeding back printing task completion information;

[0039] After receiving the print task completion information, the coding identifier is issued;

[0040] A transport task is constructed according to the coding identifier, and the bionic human tissue sample is transported based on the transport task.

[0041] On the basis of the above-mentioned method for applying a human tissue sample model based on the Internet of Things, the present invention also provides a device for applying a human tissue sample model based on the Internet of Things.

[0042] The human tissue sample model application device based on the Internet of Things includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, the human tissue sample model application method based on the Internet of Things as described above is implemented.

[0043] The beneficial effects of the present invention are as follows: in the invented human tissue sample model application system, method and device based on the Internet of Things, human tissue samples are quickly 3D scanned and modeled, and 3D printed according to the model to quickly produce bionic human tissue samples, and then the bionic human tissue samples are quickly transported by supporting logistics to quickly deliver them to the target location; the present invention connects the three independent links of scanning modeling, printing and transportation through the network to form the Internet of Things, making the application of human tissue sample models more intelligent and convenient, greatly simplifying the existing human tissue sample model application program, shortening the user's waiting time, and providing strategic support for the subsequent construction of smart medical care. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a structural block diagram of the human tissue sample model application system based on the Internet of Things of the present invention;

[0045] Figure 2 This is a flow chart of the method for applying the human tissue sample model based on the Internet of Things of the present invention;

[0046] Figure 3 This is a structural block diagram of the human tissue sample model application device based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0047] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0048] like Figure 1As shown, the human tissue sample model application system based on the Internet of Things includes a server and a human tissue sample scanning and modeling module, a human tissue sample printing module, and a bionic human tissue sample carrier module that are remotely connected to the server via a network and are distributed;

[0049] The human tissue sample scanning and modeling module is used to quickly perform 3D scanning and modeling on the user's human tissue sample to obtain a human tissue sample model, and upload the human tissue sample model to the server;

[0050] The server is configured to generate a coding identifier according to the human tissue sample model, and send the human tissue sample model to the human tissue sample printing module;

[0051] The human tissue sample printing module is used to print the human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample and to feed back printing task completion information to the server;

[0052] The server is further configured to send the coding identifier to the bionic human tissue sample carrier module after receiving the printing task completion information;

[0053] The bionic human tissue sample carrying module is used to construct a carrying task according to the coding identifier, and to carry the bionic human tissue sample based on the carrying task.

[0054] The human tissue sample model application system based on the Internet of Things of the present invention connects the three independent links of scanning modeling, printing and transportation through the network to form the Internet of Things, making the application of human tissue sample models more intelligent and convenient, greatly simplifying the existing human tissue sample model application program, shortening the user's waiting time, and providing strategic support for the subsequent construction of smart medical care.

[0055] In some embodiments, the human tissue sample scanning and modeling module includes:

[0056] A 3D scanning unit, used to perform a 3D scan on a user's human tissue sample to obtain 3D scanning data;

[0057] a 3D modeling unit, which stores a basic model of a human tissue sample, and is used to modify the basic model of the human tissue sample according to the 3D scanning data to obtain the human tissue sample model;

[0058] The model uploading unit is used to upload the human tissue sample model to the server.

[0059] Specifically, for the same type of human tissue samples from different users, their general shapes are similar. Therefore, by setting a basic model of the human tissue sample and modifying it using 3D scanning data, a human tissue sample model that conforms to the individual can be quickly obtained; this method is relatively simple and easy to implement.

[0060] Preferably, the 3D scanning unit is specifically used for:

[0061] The user's age and physical indicators as well as the type of human tissue samples are processed based on a pre-built deep learning model to obtain a set of scan feature points;

[0062] A 3D scan is performed on the human tissue sample, and during the 3D scanning process, corresponding coordinate data is captured according to the scanning feature point set to obtain the 3D scanning data.

[0063] Specifically, for human tissue sample donors, since the donated human tissue samples need to be quickly preserved and transported after the donation operation is completed, the human tissue samples need to be quickly scanned as soon as possible after the donation operation is completed to avoid affecting the preservation and transportation of subsequent human tissue samples. In this embodiment, the age and physical indicators (such as height, weight, body shape, etc.) of the human tissue sample donor and the type of donated human tissue sample are processed through a deep learning model to obtain a set of scanning feature points. This set of scanning feature points provides guidance for quickly obtaining the characteristics of different individual human tissue samples in the subsequent 3D scanning process, thereby realizing the rapid acquisition of 3D scanning data.

[0064] Furthermore, for users whose tissue samples (e.g., left leg) are missing due to natural disasters or accidents, they can scan the 3D scan data of their right leg and then, through mirroring, obtain the 3D scan data of the missing left leg. For users who have lost both legs or both hands, after obtaining the scan feature point set, they can scan a standard physical model corresponding to the user's age and body measurements instead of the 3D scan of the tissue sample.

[0065] Preferably, the 3D modeling unit is specifically used for:

[0066] Marking points corresponding to the scanning feature point set in the human tissue sample basic model;

[0067] Taking the point positions as a reference, the human tissue sample basic model is scaled and partially adjusted according to the coordinate data corresponding to the scanning feature point set to obtain the human tissue sample model.

[0068] Specifically, the purpose of point marking is to determine the basic framework in the basic model of the human tissue sample, and to scale and locally adjust the basic framework with specific coordinate data, so as to quickly and accurately obtain the human tissue sample model.

[0069] In some embodiments, the human tissue sample printing module is specifically used to:

[0070] Adaptively stratifying the human tissue sample model based on the human tissue sample type, and performing printing path planning according to the stratification results to obtain multiple stratified printing paths;

[0071] Controlling multiple 3D printers to operate in parallel according to multiple layered printing paths to synchronously 3D print each layer of the printing material, obtaining the bionic human tissue sample, and generating printing task completion information;

[0072] The print task completion information is uploaded to the server.

[0073] Specifically, this embodiment adaptively layers the human tissue sample model according to the type of human tissue sample. For example, if the shape of the human tissue sample is more complex, more layers can be set for stratification. If the shape of the human tissue sample is relatively simple, fewer layers can be set for stratification. The layers are dense where the shape is complex, and sparse where the shape is simple. This can maximize the characteristics of the human tissue sample, thereby obtaining a more accurate printing effect.

[0074] In addition, by controlling multiple 3D printers to operate in parallel according to multiple layered printing paths to synchronously 3D print each layer of the printing material, rapid printing can be achieved, thereby improving the efficiency of producing bionic human tissue samples.

[0075] Preferably, the main component of the printing material is lotus root starch, and the auxiliary components of the printing material include gelatin, chitosan, polycaprolactone, cellulose nanofiber and antioxidant.

[0076] Specifically, the porous structure of lotus root fiber is 90% compatible with the microenvironment of human bone tissue. This biomimetic structure not only provides a "scaffold" for bone cells to cling and grow along the customized lotus root fiber scaffold, but the interconnected pores within the scaffold also facilitate nutrient transport. For human tissue sample donors, the biomimetic human tissue sample does not need to fulfill any specific function, but only needs to ensure the integrity of the remains. Therefore, biomimetic human tissue samples can also be made from lotus root powder to fill and repair remains.

[0077] In addition, among the auxiliary components of printing materials, gelatin can improve flexibility and cell adhesion, chitosan can enhance antibacterial properties and mechanical strength, polycaprolactone can regulate the degradation rate and improve mechanical properties (such as support), cellulose nanofibers can increase tensile strength and structural stability, and antioxidants can delay the oxidative degradation of materials.

[0078] In some embodiments, the coded identifier includes a shipping address and a shipping destination address;

[0079] The bionic human tissue sample carrier module includes:

[0080] A parsing unit, configured to parse the coding identifier to obtain the consignment address and the destination address;

[0081] a planning unit configured to plan a transportation route between the consignment address and the destination address by combining land and air transportation with the goal of minimizing transportation time, thereby obtaining the transportation task;

[0082] A transport unit is used to transport the bionic human tissue sample according to the transport task.

[0083] Specifically, the planning unit plans the transportation route between the consignment address and the target address by combining land and air transportation with the goal of minimizing transportation time, which can ensure that the bionic human tissue sample is transported to the destination as quickly as possible, thereby shortening the user's waiting time.

[0084] In some embodiments, the bionic human tissue sample carrying module is further configured to feed back the carrying task to the server;

[0085] The server is further configured to generate a verification code according to the transport task and send the verification code to the bionic human tissue sample transport module;

[0086] The human tissue sample printing module is further used to verify the verification code before the bionic human tissue sample carrying module carries the bionic human tissue sample, and allow the bionic human tissue sample carrying module to perform the carrying task after the verification is passed.

[0087] Specifically, the human tissue sample printing module verifies the verification code before the bionic human tissue sample carrying module carries the bionic human tissue sample in order to ensure safety and avoid mis-shipment or theft.

[0088] On the basis of the above-mentioned human tissue sample model application system based on the Internet of Things, the present invention also provides a human tissue sample model application method based on the Internet of Things.

[0089] likeFigure 2 As shown, the human tissue sample model application method based on the Internet of Things is applied to the human tissue sample model application system based on the Internet of Things as described above, including:

[0090] Perform rapid 3D scanning and modeling of the user's human tissue sample to obtain a human tissue sample model;

[0091] generating a coding identifier according to the human tissue sample model;

[0092] Printing a human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample, and feeding back printing task completion information;

[0093] After receiving the print task completion information, the coding identifier is issued;

[0094] A transport task is constructed according to the coding identifier, and the bionic human tissue sample is transported based on the transport task.

[0095] Specifically, the detailed process of each step in the human tissue sample model application method based on the Internet of Things of the present invention can be found in the specific functions of each module in the human tissue sample model application system based on the Internet of Things of the present invention, which will not be repeated here.

[0096] On the basis of the above-mentioned method for applying a human tissue sample model based on the Internet of Things, the present invention also provides a device for applying a human tissue sample model based on the Internet of Things.

[0097] like Figure 3 As shown, the human tissue sample model application device based on the Internet of Things includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, the human tissue sample model application method based on the Internet of Things as described above is implemented.

[0098] That is, the human tissue sample model application device based on the Internet of Things according to an embodiment of the present invention may include but is not limited to: a processor and a memory; the memory is used to store a computer program; the processor is used to execute the human tissue sample model application method based on the Internet of Things shown in any embodiment of the present invention by calling the computer program.

[0099] In an optional embodiment, a human tissue sample model application device based on the Internet of Things is provided, such as Figure 3 As shown, Figure 3The human tissue sample model application device includes a processor and a memory. The processor and the memory are connected, such as through a bus. Optionally, the human tissue sample model application device can also include a transceiver, which can be used for data interaction, such as data transmission and / or data reception, between the human tissue sample model application device and other electronic devices. It should be noted that in actual application, the transceiver is not limited to one, and the structure of the human tissue sample model application device does not constitute a limitation on the embodiments of the present application.

[0100] The processor can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLC (Programmable Controller), a FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the present disclosure. The processor can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0101] The bus can include a path for transmitting information between the above-mentioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used to represent the bus, but it does not mean that there is only one bus or one type of bus.

[0102] The memory may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0103] The memory is used to store application code (computer program) for executing the solution of the present invention, and the processor controls the execution of the application code. The processor is used to execute the application code stored in the memory to implement the content shown in the above method embodiment.

[0104] The human tissue sample model application device may also be a terminal, and the terminal may be any device that can install applications, including at least one of a smartphone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a smart TV.

[0105] It should be noted that Figure 3 The human tissue sample model application device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0106] In the invention of the human tissue sample model application system, method and device based on the Internet of Things, human tissue samples are quickly 3D scanned and modeled, and 3D printed according to the model to quickly produce bionic human tissue samples, and then the bionic human tissue samples are quickly transported by supporting logistics to quickly deliver them to the target location; the present invention connects the three independent links of scanning modeling, printing and transportation through the network to form the Internet of Things, making the application of human tissue sample models more intelligent and convenient, greatly simplifying the existing human tissue sample model application program, shortening the user's waiting time, and providing strategic support for the subsequent construction of smart medical care.

[0107] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. The human tissue sample model application system based on the Internet of Things is characterized by: It includes a server and a human tissue sample scanning and modeling module, a human tissue sample printing module and a bionic human tissue sample carrying module that are remotely connected to the server via a network and are distributed; The human tissue sample scanning and modeling module is used to quickly perform 3D scanning and modeling on the user's human tissue sample to obtain a human tissue sample model, and upload the human tissue sample model to the server; The server is configured to generate a coding identifier according to the human tissue sample model, and send the human tissue sample model to the human tissue sample printing module; The human tissue sample printing module is used to print the human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample and to feed back printing task completion information to the server; The server is further configured to send the coding identifier to the bionic human tissue sample carrier module after receiving the printing task completion information; The bionic human tissue sample carrying module is used to construct a carrying task according to the coding identifier, and to carry the bionic human tissue sample based on the carrying task.

2. The human tissue sample model application system based on the Internet of Things according to claim 1, characterized in that: The human tissue sample scanning modeling module includes: A 3D scanning unit, used to perform a 3D scan on a user's human tissue sample to obtain 3D scanning data; a 3D modeling unit, which stores a basic model of a human tissue sample, and is used to modify the basic model of the human tissue sample according to the 3D scanning data to obtain the human tissue sample model; The model uploading unit is used to upload the human tissue sample model to the server.

3. The human tissue sample model application system based on the Internet of Things according to claim 2, characterized in that: The 3D scanning unit is specifically used to: The user's age and physical indicators as well as the type of human tissue samples are processed based on a pre-built deep learning model to obtain a set of scan feature points; A 3D scan is performed on the human tissue sample, and during the 3D scanning process, corresponding coordinate data is captured according to the scanning feature point set to obtain the 3D scanning data.

4. The human tissue sample model application system based on the Internet of Things according to claim 3, characterized in that: The 3D modeling unit is specifically used for: Marking points corresponding to the scanning feature point set in the human tissue sample basic model; Taking the point positions as a reference, the human tissue sample basic model is scaled and partially adjusted according to the coordinate data corresponding to the scanning feature point set to obtain the human tissue sample model.

5. The human tissue sample model application system based on the Internet of Things according to claim 1, characterized in that: The human tissue sample printing module is specifically used to: Adaptively stratifying the human tissue sample model based on the human tissue sample type, and performing printing path planning according to the stratification results to obtain multiple stratified printing paths; Controlling multiple 3D printers to operate in parallel according to multiple layered printing paths to synchronously 3D print each layer of the printing material, obtaining the bionic human tissue sample, and generating printing task completion information; The print task completion information is uploaded to the server.

6. The human tissue sample model application system based on the Internet of Things according to claim 5, characterized in that: The main component of the printing material is lotus root starch, and the auxiliary components of the printing material include gelatin, chitosan, polycaprolactone, cellulose nanofiber and antioxidant.

7. The human tissue sample model application system based on the Internet of Things according to claim 1, characterized in that: The coding identification includes the shipping address and the destination address; The bionic human tissue sample carrier module includes: A parsing unit, configured to parse the coding identifier to obtain the consignment address and the destination address; a planning unit configured to plan a transportation route between the consignment address and the destination address by combining land and air transportation with the goal of minimizing transportation time, thereby obtaining the transportation task; A transport unit is used to transport the bionic human tissue sample according to the transport task.

8. The human tissue sample model application system based on the Internet of Things according to claim 1, characterized in that: The bionic human tissue sample carrying module is further used to feed back the carrying task to the server; The server is further configured to generate a verification code according to the transport task and send the verification code to the bionic human tissue sample transport module; The human tissue sample printing module is further used to verify the verification code before the bionic human tissue sample carrying module carries the bionic human tissue sample, and allow the bionic human tissue sample carrying module to perform the carrying task after the verification is passed.

9. The application method of the human tissue sample model based on the Internet of Things is characterized by: The human tissue sample model application system based on the Internet of Things as claimed in any one of claims 1 to 8 comprises: Perform rapid 3D scanning and modeling of the user's human tissue sample to obtain a human tissue sample model; generating a coding identifier according to the human tissue sample model; Printing a human tissue sample according to the human tissue sample model to obtain a bionic human tissue sample, and feeding back printing task completion information; After receiving the print task completion information, the coding identifier is issued; A transport task is constructed according to the coding identifier, and the bionic human tissue sample is transported based on the transport task.

10. A human tissue sample model application device based on the Internet of Things, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory, wherein when the computer program is executed by the processor, the method for applying a human tissue sample model based on the Internet of Things as claimed in claim 9 is implemented.

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