Placenta treatment device and computing equipment

Abstract

The invention discloses a placenta treatment device and computing equipment, and the device comprises a code scanning module which is used for scanning a bar code on a wrist strap of a puerpera and obtaining puerpera identity information associated with the bar code from an HIS system; the data generation module is used for generating a unique placenta tracing two-dimensional code according to the puerpera identity information, and the placenta tracing two-dimensional code is associated with the puerpera identity information, the placenta weight, the placenta size, the treatment medical staff information and the treatment time; the measuring module comprises a weight sensor and an image acquisition unit; the image acquisition unit is used for acquiring a placenta image and analyzing the placenta image to determine the placenta size; the printing module is used for printing a label containing the placenta tracing two-dimensional code; and the identity recognition module is used for collecting and comparing face images of medical staff for treating placentas and medical waste collection staff. According to the invention, full-process tracing of placenta treatment is realized, medical safety problems such as misuse and loss of the placenta are avoided, and the medical safety management level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to a placenta disposal device and a computing device. Background Art

[0002] In the current placenta disposal process (including links such as recording and tracing placenta information), information errors and omissions are likely to occur, making it difficult to effectively manage and trace the entire life cycle of the placenta. Manual recording is easily affected by human factors, resulting in inaccurate data and difficulty in tracing the medical staff responsible for disposal. In addition, the placenta disposal process lacks effective supervision means, prone to illegal operations, and there is a risk of cross-infection.

[0003] To solve the above problems, the present invention proposes a placenta disposal device to achieve full-process tracing of placenta disposal, avoid medical safety problems such as incorrect use and loss of the placenta, and improve the level of medical safety management. Summary of the Invention

[0004] In view of the above problems, the present invention provides a placenta disposal device and a computing device.

[0005] According to one aspect of the present invention, there is provided a placenta disposal device, comprising:

[0006] A barcode scanning module for scanning the barcode on the parturient's wristband and obtaining the parturient's identity information associated with the barcode from the hospital HIS system;

[0007] A data generation module for generating a unique placenta traceability two-dimensional code according to the parturient's identity information, the placenta traceability two-dimensional code being associated with the parturient's identity information, placenta weight, placenta size, information of the medical staff for disposal, and disposal time;

[0008] A measurement module including a weight sensor and an image acquisition unit, wherein the weight sensor is used to measure the placenta weight and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size;

[0009] A printing module for printing a label containing the placenta traceability two-dimensional code for pasting on a yellow garbage bag;

[0010] An identity recognition module for collecting face images of the medical staff disposing of the placenta and the staff collecting medical waste and comparing them.

[0011] In an alternative manner, the generating a unique placenta traceability two-dimensional code according to the parturient's identity information further includes:

[0012] Use the first letter of the name and the date of birth in the parturient's identity information as seeds, and generate the first-layer encryption key according to the hash algorithm;

[0013] Perform an exclusive OR operation on the placental weight, placental size, and the job number of the medical staff in charge of the disposal with the first-layer encryption key to generate the second-layer encrypted information;

[0014] Add the disposal time to perform timestamp encryption on the second-layer encrypted information, and generate ciphertext data through the symmetric encryption algorithm;

[0015] Encode the ciphertext data into a two-dimensional code and generate a prefix containing the hospital identifier to distinguish the placental traceability two-dimensional codes from different sources.

[0016] In an alternative embodiment, the measurement module further includes a three-dimensional reconstruction unit;

[0017] Wherein, the three-dimensional reconstruction unit is connected to the image acquisition unit and is used to collect at least three placental images from different angles;

[0018] Process the placental images from different angles through the multi-view geometry algorithm to construct a three-dimensional model of the placenta; wherein, the three-dimensional model includes the length, width, thickness, surface area, volume, blood vessel distribution, and calcification points of the placenta.

[0019] In an alternative embodiment, the placental disposal device further includes a garbage bag locking mechanism, and the locking mechanism is provided with a pressure sensor;

[0020] Wherein, the locking mechanism is linked with the printing module, and unlocks the opening of the garbage bag after successfully printing the label containing the placental traceability two-dimensional code; the locking mechanism can only be opened by medical staff who have passed the identity verification, and can only be locked when the placenta is placed in the garbage bag and the weight reaches the preset threshold.

[0021] In an alternative embodiment, the placental disposal further includes a cleaning and disinfection module, the cleaning and disinfection module is provided with an ultraviolet disinfection lamp and an automatic spraying system, and the automatic spraying system is provided with a humidity sensor;

[0022] Wherein, the ultraviolet disinfection lamp is automatically turned on after each placental disposal is completed, and the ventilation system is automatically started when the humidity collected by the humidity sensor exceeds the preset threshold.

[0023] In an alternative embodiment, the garbage bag locking mechanism is provided with a weight verification module, and the weight verification module performs secondary verification on the total weight in the garbage bag before locking the garbage bag;

[0024] Among them, if the verification result of the secondary verification exceeds the preset threshold compared with the previously recorded placental weight, the locking of the garbage bag is rejected and an alarm is issued to prompt medical staff to conduct an inspection; after the garbage bag locking mechanism is locked, if an unauthorized person forcibly opens the garbage bag, an alarm is immediately issued and a photo is automatically taken for recording.

[0025] In an optional manner, the cleaning and disinfection module is provided with a gas sensor array for real-time monitoring of the air quality, VOCs concentration, and ammonia concentration inside the device.

[0026] In an optional manner, the three-dimensional reconstruction unit includes a curvature analysis module for calculating the curvature characteristics of the placental surface;

[0027] Specifically, calculate the surface normal vector, the first fundamental form coefficients of the surface, and the second fundamental form coefficients of the surface of the placental three-dimensional model;

[0028] Calculate the Gaussian curvature and the mean curvature according to the surface normal vector, the first fundamental form coefficients of the surface, and the second fundamental form coefficients of the surface;

[0029] Calculate the curvature distribution result of the placental surface according to the Gaussian curvature and the mean curvature, and the curvature distribution result includes a high-curvature region and a low-curvature region;

[0030] Record the curvature analysis result in the placental traceability two-dimensional code for medical staff to refer to.

[0031] In an optional manner, the calculation formula for the surface normal vector is:

[0032]

[0033] Among them, S = S(u, v) is the parametric representation of the placental surface; are the partial derivatives of the surface in the u and v directions respectively; N(u, v) is the normal vector of the surface at the point (u, v);

[0034] The calculation formula for the first fundamental form coefficients of the surface is:

[0035]

[0036] Among them, E is the first fundamental form coefficient of the surface in the u direction; F is the mixed fundamental form coefficient of the surface in the u and v directions; G is the first fundamental form coefficient of the surface in the v direction;

[0037] The calculation formula for the second fundamental form coefficients of the surface is:

[0038]

[0039] where l is the coefficient of the second fundamental form of the surface in the u direction; m is the mixed second fundamental form coefficient of the surface in the u and v directions; n is the coefficient of the second fundamental form of the surface in the v direction;

[0040] The calculation formula for the Gaussian curvature is:

[0041]

[0042] The calculation formula for the mean curvature is:

[0043]

[0044] According to another aspect of the present invention, there is provided a computing device, including: a processor, a memory, a communication interface, and a communication bus, where the processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0045] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the operations corresponding to the above-mentioned placenta disposal device.

[0046] The solution provided by the present invention includes a scanning module for scanning the barcode on the parturient's wristband and obtaining the parturient's identity information associated with the barcode from the hospital HIS system; a data generation module for generating a unique placenta traceability QR code according to the parturient's identity information, where the placenta traceability QR code is associated with the parturient's identity information, placenta weight, placenta size, information of the medical staff for disposal, and disposal time; a measurement module including a weight sensor and an image acquisition unit, where the weight sensor is used to measure the placenta weight and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size; a printing module for printing a label containing the placenta traceability QR code for pasting on a yellow garbage bag; an identity recognition module for acquiring and comparing the face images of the medical staff for disposing of the placenta and the staff for collecting medical waste. The present invention realizes the full-process traceability of placenta disposal, avoids medical safety problems such as misusing and losing the placenta, and improves the level of medical safety management.

[0047] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of the present invention more obvious and understandable, the following specifically gives the specific embodiments of the present invention. Description of the Drawings

[0048] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference symbols are used to represent the same components. In the drawings:

[0049] Figure 1 shows a schematic framework diagram of the placenta disposal device according to an embodiment of the present invention;

[0050] Figure 2 shows a schematic flow diagram of the placenta disposal device according to an embodiment of the present invention;

[0051] Figure 3 shows a schematic diagram of the placenta disposal device according to an embodiment of the present invention;

[0052] Figure 4 shows a schematic three-dimensional modeling diagram according to an embodiment of the present invention;

[0053] Figure 5 shows a schematic structural diagram of a computing device according to an embodiment of the present invention. Detailed Embodiments

[0054] The exemplary embodiments of the present invention will be described in more detail below with reference to the drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be fully conveyed to those skilled in the art.

[0055] Figure 1 shows a schematic framework diagram of the placenta disposal device according to an embodiment of the present invention, Figure 2 shows a schematic flow diagram of the placenta disposal device according to an embodiment of the present invention. Specifically, as Figure 1 、 Figure 2 shown, it includes:

[0056] a barcode scanning module for scanning the barcode on the parturient's wristband and obtaining the parturient's identity information associated with the barcode from the hospital HIS system;

[0057] a data generation module for generating a unique placenta traceability two-dimensional code according to the parturient's identity information, and the placenta traceability two-dimensional code is associated with the parturient's identity information, placenta weight, placenta size, information of the medical staff for disposal, and disposal time;

[0058] Measurement module, including a weight sensor and an image acquisition unit. The weight sensor is used to measure the weight of the placenta and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size;

[0059] Printing module, used to print a label containing the placenta traceability QR code for pasting on a yellow garbage bag;

[0060] Identity recognition module, used to acquire the face images of medical staff handling the placenta and medical waste collection staff and perform comparison.

[0061] In this embodiment, for the barcode scanning module, a barcode scanner is used to quickly and accurately read barcode information. The scanner is connected to the control system on the device, and the control system establishes a communication connection with the hospital's HIS system. The barcode scanner transmits the scanned barcode information to the control system, and the control system queries the maternal identity information associated with the barcode through the HIS interface. For the data generation module, the generated placenta traceability QR code corresponds to each placenta to ensure traceability, and is associated with maternal identity, placenta characteristics, disposal personnel, and time information for convenient subsequent query and analysis. For the measurement module, as Figure 4 shown, the weight sensor uses a high-precision electronic scale to measure the weight of the placenta, and the image acquisition unit uses multiple high-definition cameras to acquire the placenta image, and then transmits the results of the weight sensor and image analysis to the data generation module. The identity recognition module verifies the identities of medical staff and medical waste collection staff through face recognition to prevent unauthorized personnel from operating. The above modules work together to form a placenta disposal device as Figure 3 shown. For example, by scanning the barcode to obtain maternal information, generating a unique traceability QR code, measuring placenta characteristics, printing labels, and verifying the identity of operators, the standardization and traceability management of the placenta disposal process are realized.

[0062] In an optional manner, the generating a unique placenta traceability QR code according to the maternal identity information further includes:

[0063] Taking the initials of the name and the date of birth in the maternal identity information as seeds, and generating a first-layer encryption key according to the hash algorithm;

[0064] Performing an exclusive OR operation on the placenta weight, placenta size, and the work number of the disposing medical staff with the first-layer encryption key to generate a second-layer encrypted information;

[0065] Adding the disposal time to perform timestamp encryption on the second-layer encrypted information, and generating ciphertext data through a symmetric encryption algorithm;

[0066] Encode the ciphertext data into a QR code and generate a prefix containing the hospital identifier to distinguish the placenta traceability QR codes from different sources.

[0067] In this embodiment, the first letters of the name and the date of birth are used as the seed instead of the full name, reducing the risk of privacy leakage. Combining the maternal identity, placenta characteristics, disposing personnel, and time ensures the uniqueness of each QR code. The source of the QR code can be quickly identified through the hospital identifier prefix, facilitating management and traceability. The encrypted data is difficult to tamper with, ensuring the authenticity of the traceability information.

[0068] Specifically, extract the first letters of the name and the date of birth from the maternal identity information. For example, if the maternal name is "Zhang San" and the date of birth is "1990-01-01", then extract "ZS" and "19900101", and combine the extracted data into a string as the seed (such as "ZS19900101"). Use a hash algorithm such as SHA-256 to perform a hash operation on the seed to generate the first-layer encryption key. This hash algorithm is one-way, that is, the original data cannot be deduced from the hash value. Obtain the placenta weight, placenta size, and the worker number of the disposing medical staff and convert them into byte arrays or digital forms. Perform an exclusive OR (XOR) operation on the placenta weight, placenta size, and the worker number of the disposing medical staff with the first-layer encryption key. The XOR operation is reversible, that is, the original data can be restored by performing the XOR operation with the same key. Obtain the disposal time and convert it into a timestamp. Use a symmetric encryption algorithm such as AES to encrypt with the second-layer encryption information and the timestamp as the input, and encode the ciphertext data into a QR code image (such as QR Code or Data Matrix). Add a prefix containing the hospital identifier to the QR code data to distinguish the placenta traceability QR codes from different sources (such as "HOSPITAL123_").

[0069] In an alternative manner, the measurement module further includes a three-dimensional reconstruction unit;

[0070] Wherein, the three-dimensional reconstruction unit is connected to the image acquisition unit for acquiring at least three placenta images from different angles;

[0071] Process the placenta images from different angles through a multi-view geometry algorithm to construct a three-dimensional model of the placenta; wherein, the three-dimensional model includes the length, width, thickness, surface area, volume, blood vessel distribution, and calcification points of the placenta.

[0072] In this embodiment, compared with only measuring the weight and size, the three-dimensional reconstruction provides more comprehensive placenta morphological information including length, width, thickness, surface area, volume, etc., and can further detect and quantify the blood vessel distribution and calcification points (reflecting the aging degree of the placenta). The three-dimensional reconstruction realizes non-destructive detection through image acquisition and algorithm processing without cutting or damaging the placenta.Figure 4 As shown, place the placenta in the designated area of the device, automatically collect six placental images from different angles, run a 3D reconstruction algorithm to generate a 3D model of the placenta based on the image data. The 3D model includes information such as the length, width, thickness, surface area, volume, blood vessel distribution, and calcification point of the placenta. Store information such as the 3D model, quantification parameters, and image data in a database and associate them with the placental traceability QR code. Doctors can access the 3D model and related data of the placenta by scanning the placental traceability QR code, and judge whether there are vascular abnormalities in the placenta by observing the 3D model or evaluate the degree of placental aging by quantifying the number of calcification points.

[0073] In an alternative embodiment, the placental disposal device further includes a garbage bag locking mechanism, and the locking mechanism is provided with a pressure sensor;

[0074] Wherein, the locking mechanism is linked with the printing module to unlock the opening of the garbage bag after successfully printing the label containing the placental traceability QR code; the locking mechanism can only be opened by medical staff who have passed identity verification, and can only be locked when the placenta is placed in the garbage bag and the weight reaches a preset threshold.

[0075] In this embodiment, only authenticated medical staff can open the garbage bag to ensure that all links of placenta disposal are operated by authorized personnel, preventing unauthorized personnel from contacting or randomly disposing of the placenta. The locking mechanism is linked with the printing module, and the garbage bag can only be unlocked after a label containing the placenta traceability QR code is successfully printed. Each placenta has a corresponding traceability label and is placed in a designated garbage bag. The garbage bag can only be locked when a placenta is placed inside and the weight reaches a preset threshold, avoiding the wrong locking and processing of empty bags or garbage bags containing non-placenta substances, and thus ensuring that only the garbage bags containing placentas enter the medical waste treatment process. For example, the locking and unlocking are achieved by the attraction and release of an electromagnet, or the locking and unlocking are achieved by a mechanical structure (such as a lock tongue, a buckle). The weight inside the garbage bag is detected by a pressure sensor, and the pressure sensor is installed at the bottom of the garbage bag or on the support structure to ensure that the sensor can stably bear the weight of the garbage bag. The pressure sensor is connected to the control system, and the weight data is transmitted to the control system for processing. Card swiping verification is required, and the locking mechanism can only be unlocked after successful authentication. After the printing module successfully prints a label containing the placenta traceability QR code, an unlocking signal is sent to the locking mechanism. Only when the unlocking signal is received can the locking mechanism be unlocked and the opening of the garbage bag be opened. After the pressure sensor detects that the weight inside the garbage bag exceeds the preset threshold, the locking mechanism can be locked. After the locking mechanism locks, a signal indicating successful locking is sent to the control system. The locking mechanism locks the opening of the garbage bag to prevent the items inside the garbage bag from falling, and locks the entire garbage bag in a container to prevent the garbage bag from being moved or opened. Among them, the control system receives and processes the data and signals from the pressure sensor, the authentication module, and the printing module, and controls the unlocking and locking of the locking mechanism according to the preset logic.

[0076] In an alternative manner, the placenta disposal further includes a cleaning and disinfection module, the cleaning and disinfection module is provided with an ultraviolet disinfection lamp and an automatic spraying system, and the automatic spraying system is provided with a humidity sensor;

[0077] Among them, the ultraviolet disinfection lamp is automatically turned on after each placenta disposal is completed, and the ventilation system is automatically started when the humidity collected by the humidity sensor exceeds the preset threshold.

[0078] In this embodiment, the automatic spraying system includes a water storage tank, a water pump, spray nozzles and pipelines. Among them, the spray nozzles are evenly arranged above the disposal area to ensure comprehensive spraying of cleaning liquid or disinfectant. The ventilation system includes a fan, an exhaust duct and a filter screen, which are used to discharge moisture and keep the air flowing. The control system uses a PLC programmable controller, which is connected to a humidity sensor, an ultraviolet disinfection lamp, an automatic spraying system and a ventilation system. After each placenta disposal is completed, the control system automatically starts the ultraviolet disinfection lamp, sets the disinfection duration (such as 30 minutes), and automatically turns it off after disinfection is completed. The humidity sensor continuously collects the ambient humidity. When the humidity exceeds the preset threshold, the ventilation system is automatically started until the humidity drops below the threshold or reaches the preset ventilation duration. Before or after the ultraviolet disinfection lamp is turned on, the control system starts the automatic spraying system to spray cleaning liquid or disinfectant to clean the disposal area.

[0079] In an alternative manner, the garbage bag locking mechanism is provided with a weight verification module, and the weight verification module performs secondary verification on the total weight in the garbage bag before locking the garbage bag;

[0080] Among them, if the verification result of the secondary verification differs from the previously recorded placenta weight by more than the preset threshold, the garbage bag locking is rejected and an alarm is issued to prompt medical staff to check; after the garbage bag locking mechanism is locked, if an unauthorized person forcibly opens the garbage bag, an alarm is immediately issued and a photo is automatically taken for recording.

[0081] In this embodiment, the secondary weight verification can prevent the placenta waste from being misprocessed or lost, and ensure safe disposal in accordance with the medical waste management specifications. Through the weight difference warning method, abnormal situations (such as missing placenta or mixing other inappropriate items in the garbage bag) can be detected in the first time and medical staff can be reminded to check and handle in time.

[0082] In an alternative manner, the cleaning and disinfection module is provided with a gas sensor array for continuously monitoring the air quality, VOCs concentration and ammonia concentration inside the device.

[0083] In this embodiment, VOCs (Volatile Organic Compounds) are harmful gases released by cleaners and disinfectants, and ammonia is a product of biological tissue decomposition. By monitoring the ammonia concentration, the decomposition situation of residual organic matter can be evaluated.

[0084] In an alternative manner, the three-dimensional reconstruction unit includes a curvature analysis module for calculating the curvature characteristics of the placenta surface;

[0085] Specifically, calculate the surface normal vector, the first fundamental form coefficient of the surface and the second fundamental form coefficient of the surface of the placenta three-dimensional model;

[0086] Calculate the Gaussian curvature and the mean curvature based on the surface normal vector, the coefficients of the first fundamental form of the surface, and the coefficients of the second fundamental form of the surface;

[0087] Calculate the curvature distribution result of the placenta surface based on the Gaussian curvature and the mean curvature, where the curvature distribution result includes high-curvature regions and low-curvature regions;

[0088] Record the curvature analysis result in the placenta traceability QR code for medical staff to refer to.

[0089] In this embodiment, the curvature change of the placenta surface may be related to placental infarction, placental abruption, etc., which may cause abnormal changes in the shape of local regions of the placenta, thereby affecting the curvature distribution. Analyzing the curvature helps medical staff identify the above abnormal regions. Recording the curvature analysis result in the placenta traceability QR code not only provides the identity information of the placenta but also adds relevant data on the morphological characteristics of the placenta, enhancing the value of the traceability information.

[0090] Specifically, average the normal vectors of all adjacent triangles around a vertex as the normal vector of the vertex. Alternatively, fit a surface using a local surface fitting method and then calculate the normal vector of the surface. Calculate the coefficients of the first fundamental form (E, F, G) and the coefficients of the second fundamental form (L, M, N) of each point on the placenta surface according to differential geometry theory. Among them, the coefficients of the first fundamental form describe the lengths and angles of curves on the surface, and the coefficients of the second fundamental form describe the curvature of the surface. Calculate the Gaussian curvature (K) and the mean curvature (H) using the coefficients of the first and second fundamental forms. Analyze the curvature distribution of the placenta surface based on the Gaussian curvature and the mean curvature to identify high-curvature regions and low-curvature regions. Among them, the high-curvature region refers to the region with a higher curvature value, corresponding to the sharp protrusions or depressions on the placenta surface. The low-curvature region refers to the region with a lower curvature value, corresponding to the flat region on the placenta surface. The curvature distribution can be visualized using color coding (for example, using red to represent high-curvature regions and blue to represent low-curvature regions). Encode the curvature analysis result (coordinates of high-curvature regions, statistical information of Gaussian curvature and mean curvature) into the placenta traceability QR code, and medical staff can obtain the curvature analysis result of the placenta by scanning this QR code.

[0091] In an alternative manner, the calculation formula for the surface normal vector is:

[0092]

[0093] where S = S(u, v) is the parametric representation of the placenta surface; are the partial derivatives of the surface in the directions of parameters u and v respectively; N(u, v) is the normal vector of the surface at the point (u, v);

[0094] The calculation formula for the first fundamental form coefficients of the surface is as follows:

[0095]

[0096] Among them, E is the first fundamental form coefficient of the surface in the u direction; F is the mixed fundamental form coefficient of the surface in the u and v directions; G is the first fundamental form coefficient of the surface in the v direction;

[0097] The calculation formula for the second fundamental form coefficients of the surface is as follows:

[0098]

[0099] Among them, l is the second fundamental form coefficient of the surface in the u direction; m is the mixed second fundamental form coefficient of the surface in the u and v directions; n is the second fundamental form coefficient of the surface in the v direction;

[0100] The calculation formula for the Gaussian curvature is as follows:

[0101]

[0102] The calculation formula for the mean curvature is as follows:

[0103]

[0104] In this embodiment, if the three-dimensional model is a triangular mesh, the barycentric coordinates of the triangle are used as the parameters (u, v). If it is obtained by spline surface fitting, the parameters (u, v) of the spline surface are directly used. For example, a part of the placenta surface is represented by the paraboloid equation: S(u, v) = (u, v, u 2 + v 2 ). For this paraboloid, the calculation results of the Gaussian curvature and the mean curvature show that the curvature value decreases as the (u, v) coordinates increase, that is, the farther away from the origin, the flatter the surface. If this area corresponds to an area of the placenta surface, the curvature of this area is calculated by the above formula.

[0105] According to the solution provided by the present invention, it includes a barcode scanning module for scanning the barcode on the maternity wristband and obtaining the maternity identity information associated with the barcode from the hospital HIS system; a data generation module for generating a unique placenta traceability QR code according to the maternity identity information, where the placenta traceability QR code is associated with the maternity identity information, placenta weight, placenta size, information of the medical staff for disposal, and disposal time; a measurement module including a weight sensor and an image acquisition unit, where the weight sensor is used to measure the placenta weight and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size; a printing module for printing a label containing the placenta traceability QR code for pasting on a yellow garbage bag; an identity recognition module for acquiring the face images of the medical staff disposing of the placenta and the staff collecting medical waste and comparing them. The present invention realizes the full-process traceability of placenta disposal, avoids medical safety problems such as misusing or losing the placenta, and improves the level of medical safety management.

[0106] Figure 5 FIG. shows a schematic structural diagram of an embodiment of the computing device of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0107] As Figure 5 shown, the computing device may include: a processor 502, a communications interface 504, a memory 506, and a communication bus 508.

[0108] Among them: the processor 502, the communications interface 504, and the memory 506 communicate with each other through the communication bus 508. The communications interface 504 is used to communicate with network elements of other devices such as clients or other servers. The processor 502 is used to execute the program 510, and specifically can execute the relevant steps in the above-mentioned embodiment of the placenta disposal device.

[0109] Specifically, the program 510 may include program code, and the program code includes computer operation instructions.

[0110] The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. One or more processors included in the computing device may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0111] A memory 506 for storing a program 510. The memory 506 may include a high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0112] The solution provided by the present invention includes a code scanning module for scanning the barcode on the wristband of the parturient and obtaining the parturient identity information associated with the barcode from the hospital HIS system; a data generation module for generating a unique placenta traceability QR code according to the parturient identity information, the placenta traceability QR code being associated with the parturient identity information, placenta weight, placenta size, information of the medical staff for disposal, and disposal time; a measurement module including a weight sensor and an image acquisition unit, wherein the weight sensor is used to measure the placenta weight and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size; a printing module for printing a label containing the placenta traceability QR code for pasting on a yellow garbage bag; and an identity recognition module for acquiring and comparing the face images of the medical staff for disposing of the placenta and the staff for collecting medical waste. The present invention realizes the full-process traceability of placenta disposal, avoids medical safety problems such as misusing and losing the placenta, and improves the level of medical safety management.

[0113] Those skilled in the art can understand that the modules in the devices in the embodiments can be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition, they can be divided into multiple sub-modules or sub-units or sub-components. Except that at least some of such features and / or processes or units are mutually exclusive, any combination can be adopted for all the features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all the processes or units of any method or device so disclosed. Unless otherwise clearly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) can be replaced by an alternative feature providing the same, equivalent, or similar purpose. In addition, those skilled in the art can understand that although some of the embodiments herein include certain features included in other embodiments rather than other features, the combination of the features of different embodiments means that it is within the scope of the present invention and forms different embodiments. For example, in the following claims, any one of the claimed embodiments can be used in any combination. The present invention can be implemented by means of hardware including several different elements and by means of a properly programmed computer. In the unit claims listing several devices, several of these devices can be embodied by the same hardware item. The steps in the above embodiments, unless otherwise specified, should not be construed as a limitation on the execution order.

Claims

1. A placenta disposal device, characterized in that, Comprising: A barcode scanning module for scanning the barcode on the wristband of the parturient and obtaining the parturient's identity information associated with the barcode from the hospital HIS system; A data generation module for generating a unique placenta traceability QR code according to the parturient's identity information, where the placenta traceability QR code is associated with the parturient's identity information, placenta weight, placenta size, information of the medical staff handling the placenta, and handling time; A measurement module including a weight sensor and an image acquisition unit. Among them, the weight sensor is used to measure the placenta weight and transmit it to the data generation module; the image acquisition unit is used to acquire a placenta image and analyze the placenta image to determine the placenta size; A printing module for printing a label containing the placenta traceability QR code for pasting on a yellow garbage bag; An identity recognition module for collecting and comparing the face images of the medical staff handling the placenta and the staff collecting medical waste.

2. The placental disposal device according to claim 1, wherein The generating of the unique placenta traceability QR code according to the parturient's identity information further includes: Taking the initials of the parturient's name and the date of birth in the parturient's identity information as seeds, and generating a first-layer encryption key according to the hash algorithm; Performing an exclusive OR operation on the placenta weight, placenta size, and the work number of the medical staff handling the placenta with the first-layer encryption key to generate a second-layer encrypted information; Adding the handling time to perform timestamp encryption on the second-layer encrypted information, and generating ciphertext data through a symmetric encryption algorithm; Encoding the ciphertext data into a QR code and generating a prefix containing the hospital identifier to distinguish placenta traceability QR codes from different sources.

3. The placental disposal device according to claim 1, wherein, The measurement module further includes a three-dimensional reconstruction unit; Among them, the three-dimensional reconstruction unit is connected to the image acquisition unit for acquiring at least three placenta images from different angles; Processing the placenta images from different angles through a multi-view geometry algorithm to construct a three-dimensional model of the placenta; where the three-dimensional model includes the length, width, thickness, surface area, volume, blood vessel distribution, and calcification points of the placenta.

4. The placental disposal device according to claim 1, wherein, The placenta disposal device further includes a garbage bag locking mechanism, and the locking mechanism is provided with a pressure sensor; Among them, the locking mechanism is linked with the printing module to unlock the opening of the garbage bag after successfully printing the label containing the placenta traceability QR code; the locking mechanism can only be opened by medical staff who have passed identity verification, and can only be locked when the placenta is placed in the garbage bag and the weight reaches a preset threshold.

5. The placental disposal device according to claim 1, wherein The placenta disposal further includes a cleaning and disinfection module, and the cleaning and disinfection module is provided with an ultraviolet disinfection lamp and an automatic spraying system, and the automatic spraying system is provided with a humidity sensor; Among them, the ultraviolet disinfection lamp is automatically turned on each time after the placenta disposal is completed, and the ventilation system is automatically started when the humidity collected by the humidity sensor exceeds a preset threshold.

6. The placental disposal device according to claim 4, wherein, The garbage bag locking mechanism is provided with a weight verification module, and the weight verification module performs secondary verification on the total weight in the garbage bag before locking the garbage bag; Among them, if the verification result of the secondary verification differs from the previously recorded placental weight by more than a preset threshold, the locking of the garbage bag is rejected and an alarm is issued to prompt medical staff to conduct an inspection; after the garbage bag locking mechanism is locked, if an unauthorized person forcibly opens the garbage bag, an alarm is immediately issued and a photo is automatically taken and recorded.

7. The placenta disposal device according to claim 5, wherein The cleaning and disinfection module is provided with a gas sensor array for real-time monitoring of the air quality, VOCs concentration, and ammonia concentration inside the device.

8. The placental disposal device according to claim 3, wherein The three-dimensional reconstruction unit includes a curvature analysis module for calculating the curvature characteristics of the placental surface; Specifically, calculate the surface normal vector, the first fundamental form coefficients of the surface, and the second fundamental form coefficients of the surface of the placental three-dimensional model; Calculate the Gaussian curvature and the mean curvature based on the surface normal vector, the first fundamental form coefficients of the surface, and the second fundamental form coefficients of the surface; Calculate the curvature distribution result of the placental surface based on the Gaussian curvature and the mean curvature, and the curvature distribution result includes high-curvature regions and low-curvature regions; Record the curvature analysis result in the placental traceability two-dimensional code for reference by medical staff.

9. The placenta disposal device according to claim 8, wherein, The calculation formula for the surface normal vector is: where S = S(u, v) is a parametric representation of the placenta surface; are the partial derivatives of the surface in the u and v directions, respectively; N(u, v) is the normal vector of the surface at the point (u, v); The calculation formula for the first fundamental form coefficients of the surface is: Among them, E is the first fundamental form coefficient of the surface in the u direction; F is the mixed fundamental form coefficient of the surface in the u and v directions; G is the first fundamental form coefficient of the surface in the v direction; The calculation formula for the second fundamental form coefficients of the surface is: Among them, l is the second fundamental form coefficient of the surface in the u direction; m is the mixed second fundamental form coefficient of the surface in the u and v directions; n is the second fundamental form coefficient of the surface in the v direction; The calculation formula for the Gaussian curvature is: The calculation formula for the mean curvature is:

10. A computing device, comprising: A processor, a memory, a communication interface, and a communication bus, and the processor, the memory, and the communication interface complete communication with each other through the communication bus; The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute the corresponding operations of the above-mentioned placental disposal device.

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