Medical equipment management system with automatic identification function

Abstract

The invention, which relates to the technical field of medical equipment management, discloses a medical equipment management system with an automatic identification function, comprising a medical equipment management room, an identity verification module, a first opening and closing door, a second opening and closing door, an intelligent terminal, a cloud platform, an automatic identification module, an appearance detection module, a function detection module and a state detection module. Appearance detection is carried out through the appearance detection module, appearance maintenance early warning is carried out if the appearance detection module does not pass, function detection is carried out through the function detection module after the appearance detection module passes, function maintenance early warning is carried out if the function detection module does not pass, and a return signal is generated if the function detection module passes; the state detection module obtains the equipment state and calculates a score, and generates a maintenance early warning signal if the score exceeds a threshold value. Through the intelligent equipment management process, in the equipment borrowing and returning process, automatic detection can be carried out, and a returning or maintenance early warning signal can be generated, so that the requirement of manual intervention is reduced, the use efficiency and the maintenance management level of the equipment are improved, and the reliability and the safety of the equipment in medical operation are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment management, in particular to a medical equipment management system with an automatic identification function. Background Art

[0002] With the widespread use of medical devices, how to effectively manage and maintain these devices has become an important challenge facing medical institutions. At present, most medical equipment management systems rely on manual records and regular inspections, which not only consumes a lot of manpower and material resources, but also easily leads to management omissions, resulting in the inability to grasp the status of equipment in real time, and may even affect the safety and accuracy of medical operations.

[0003] In the existing technology, some devices have adopted identity recognition and simple status monitoring functions, but these systems usually operate independently and cannot be managed in an integrated manner. For example, some devices use simple RFID tags to achieve identity recognition, while status monitoring is limited to basic running time statistics. This decentralized management method is difficult to cope with the complexity and diverse needs of modern medical equipment.

[0004] In addition, the existing medical equipment management system still has major deficiencies in fault prediction and maintenance warning. Most systems can only repair equipment after it fails, lacking an effective fault prediction mechanism to identify potential problems in advance and perform maintenance in a timely manner. This not only increases equipment downtime, but may also affect the continuity of medical services. Summary of the invention

[0005] Based on the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a medical equipment management system with automatic identification function to solve the above-mentioned technical problems.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: A medical equipment management system with automatic identification function, comprising a medical equipment management room, an identity authentication module, a first switch door, a second switch door, an intelligent terminal, a cloud platform, an automatic identification module, an appearance detection module, a function detection module and a status detection module;

[0007] The medical equipment management room is used to store medical equipment. The medical equipment management room is provided with a second switch door. When the first switch door and the second switch door are closed, a closed space is formed. An intelligent terminal is provided between the first switch door and the second switch door. The intelligent terminal is connected to the cloud platform for communication.

[0008] The identity authentication module is arranged outside the first switch door, and identity authentication is performed through the identity card. After the identity authentication is passed, the first switch door is opened to allow the user to enter. After the first switch door is closed, the identity information corresponding to the identity card is displayed through the smart terminal, and the identity information is manually confirmed. After manual confirmation, the number of people between the first switch door and the second switch door is detected. When there is only one person, the second switch door is opened, entry is allowed, and the medical equipment lending operation is performed. When the medical equipment is taken out of the second switch door, the specific details of the borrowed medical equipment are obtained through the automatic identification module, and the specific details of the medical equipment are bound to the identity card. After the binding is completed, the first door is opened to complete the lending process;

[0009] The appearance inspection module is used to obtain a first appearance image of the medical device when it is returned, calculate an appearance damage score based on the first appearance image and the initial appearance image of the medical device, and generate a first maintenance warning signal when the appearance damage score is greater than a preset appearance damage score threshold to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, generate an appearance inspection pass signal;

[0010] The function detection module is used to perform an automated function test on the medical device when receiving a signal that the appearance test passes, and to generate a second maintenance warning signal when the function test fails to pass, to notify the staff to perform functional maintenance; and to generate a function test pass signal when the function test passes, to allow the medical device to be returned;

[0011] The status detection module is used to obtain the status parameters of the medical device when receiving a function detection pass signal, calculate the status score according to the status parameters, and generate a maintenance warning signal when the status score is greater than a preset status threshold to notify the staff to perform status maintenance.

[0012] The present invention is further configured such that the appearance detection module includes a first acquisition unit, an image alignment unit, an image difference unit, a damage determination unit, a damage scoring unit and a first threshold determination unit;

[0013] The first acquisition unit is used to acquire a first appearance image of the medical device when it is returned;

[0014] The image alignment unit is used to extract feature points of the first appearance image and the initial appearance image using a feature point detection algorithm, match the feature points of the first appearance image and the initial appearance image using a feature matching algorithm, generate feature point pairs, eliminate incorrectly matched feature point pairs using a RANSAC algorithm, and accurately align the first appearance image and the initial appearance image through an affine transformation or a homography transformation;

[0015] The image difference unit is used to perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image to obtain a difference image;

[0016] The damage determination unit is used to obtain a difference area according to the difference image, calculate a damage determination score for the difference area according to a preset damage determination calculation logic, and perform damage determination according to the damage determination score, wherein the damage determination result includes damage and scratches;

[0017] The damage scoring unit is used to calculate the damage score and the scratch score according to the damage determination result, and weight them to obtain the appearance damage score;

[0018] The first threshold judgment unit is used to perform threshold judgment based on the appearance damage score. When the appearance damage score is greater than a preset appearance damage score threshold, a first maintenance warning signal is generated to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, an appearance detection pass signal is generated.

[0019] The present invention is further configured to perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image, and the calculation logic is: D(x, y) = |I1(x, y) - I2(x, y)|, wherein D(x, y) is the absolute value of the pixel difference at the position (x, y) of the aligned first appearance image and the initial appearance image, and I1(x, y) and I2(x, y) are the pixel values ​​at the position (x, y) of the first appearance image and the initial appearance image respectively;

[0020] The damage judgment score is calculated according to the difference image according to the preset damage judgment calculation logic. The calculation logic is: Among them, D s D is the injury assessment score. s The larger the value, the more prone to scratches. s The smaller the value, the more prone to damage. By setting the damage judgment threshold, when D s When it is greater than the damage judgment threshold, it is judged as a scratch. s When it is less than the damage judgment threshold, it is judged as damaged; A is the area, that is, the total number of pixels in the difference area, P is the perimeter of the area, that is, the pixel length of the edge of the difference area, L is the area length, that is, the maximum length of the difference area, W is the area width, that is, the maximum length perpendicular to the difference area and the area length, σ θ is the standard deviation of directional consistency, θ max is the maximum value of the direction angle, which is used to normalize the standard deviation of the direction consistency. w1, w2 and w3 are weight coefficients, all of which are greater than 0 and w1+w2+w3=1.

[0021] The present invention is further configured such that the calculation logic of the damage score is: Among them, S damage Score the damage, A damage is the number of pixels in the damaged area, A total is the total number of pixels in the difference image, I1(i) and I2(i) are the pixel values ​​of the i-th pixel in the first appearance image and the initial appearance image, respectively, and N damage is the number of pixels in the damaged area; the calculation logic of the scratch score is: Among them, S scratch Score for scratches, L scratch is the number of pixels in the scratch area, I1(j) and I2(j) are the pixel values ​​of the jth pixel in the first appearance image and the initial appearance image, respectively, and N scratch is the number of pixels in the scratch area; the damage score and the scratch score are weighted to obtain the appearance damage score, where the sum of the weight coefficients is 1.

[0022] The present invention is further configured to perform automated functional testing on medical devices, including:

[0023] Perform automated functional testing on medical devices according to pre-set test scripts, where functional testing includes startup testing, response testing, sensor testing, and data output testing;

[0024] During the functional testing process, the actual output data of the medical device is collected in real time. In the pre-set test script, the expected output data is set, and the actual output data is compared with the expected output data. When all tests in the pre-set test script pass, the functional test passes; when any test in the pre-set test script fails, the functional test fails.

[0025] The present invention is further configured to obtain status parameters of the medical device, wherein the status parameters include: cumulative usage times, cumulative usage time, standard deviation of current fluctuation during operation, and current energy consumption efficiency.

[0026] The present invention is further configured to calculate a state score according to the state parameter, including:

[0027] Calculate the equipment usage stress index based on the cumulative number of uses, cumulative usage time, and standard deviation of current fluctuations during operation;

[0028] Calculate the energy efficiency degradation index according to the current energy consumption efficiency and the initial energy consumption efficiency;

[0029] A status score is calculated according to the equipment usage stress index and the energy efficiency degradation index.

[0030] The present invention is further configured such that the calculation logic of the stress index used by the device is: Among them, EUSI is the equipment usage stress index, U is the cumulative number of times used, T is the cumulative usage time, σ current is the standard deviation of current fluctuation during operation; the calculation logic of the energy efficiency degradation index is: Among them, η initial is the initial energy efficiency, η current is the current energy efficiency.

[0031] The present invention is further configured such that the calculation logic of the status score is: Among them, S status is the state score, α is a constant, which represents the control parameter of the degree of nonlinearity, and is used to adjust the influence of the ratio between EUSI and EEDI on the state score. The value range of α is 0.1 to 2.0. K is a constant, which represents the adjustment factor, and is used to balance the influence of EUSI and EEDI. The value range of K is 0.01 to 1.0.

[0032] The present invention provides a medical equipment management system with automatic identification function, including a medical equipment management room, an identity authentication module, a first switch door, a second switch door, an intelligent terminal, a cloud platform, an automatic identification module, an appearance detection module, a function detection module and a status detection module; after the identity authentication is passed, the user enters the medical equipment management room, and when the equipment is borrowed, the medical equipment details are recorded and bound to the identity through the automatic identification module. When returning, the appearance detection module obtains the appearance image and compares it with the initial image to generate a damage score. If the threshold is exceeded, an appearance maintenance warning signal is generated; the function detection module performs a function detection, and a function maintenance warning signal is generated if the function detection fails, and a return signal is generated if it passes; the status detection module obtains the equipment status and calculates the score, and a maintenance warning signal is generated if the threshold is exceeded. The beneficial effects produced include:

[0033] 1. Security and reliability: The present invention realizes the dual protection of automatic verification and manual confirmation of user identity by setting up identity authentication modules and intelligent terminals in the medical equipment management room and combining them with the communication of the cloud platform. After the identity authentication is passed, the system allows the user to enter the management room and bind the borrowed medical equipment to the user identity, ensuring the accuracy of the equipment usage authority management and borrowing and returning records, thereby greatly improving the security and reliability of equipment management;

[0034] 2. Real-time monitoring and maintenance warning: The present invention integrates an appearance detection module, a function detection module and a status detection module to achieve all-round detection of medical equipment. The appearance detection module compares the initial appearance of the equipment with the appearance image when it is returned to generate a damage score; the function detection module performs automated function testing on the equipment; the status detection module generates a status score by analyzing the status parameters of the equipment. The above-mentioned detection methods ensure the status monitoring of the equipment before and after use, realize real-time warning of potential problems of the equipment, ensure that the equipment is always in the best working condition, and reduce the occurrence of failures;

[0035] 3. Efficient borrowing, returning and maintenance management: The present invention uses an intelligent equipment management process, including identity verification, equipment lending, appearance inspection, function inspection and status inspection steps. During the equipment borrowing and returning process, the system can automatically record the equipment usage information and automatically generate a return or maintenance warning signal after the inspection is completed. It not only simplifies the operation of equipment management and reduces the need for manual intervention, but also improves the equipment's use efficiency and maintenance management level, ensuring the reliability and safety of the equipment in medical operations.

[0036] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0038] Figure 1 The present invention is a schematic structural diagram of a medical equipment management system with automatic identification function according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0040] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0041] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0042] A medical equipment management system with automatic identification function, such as Figure 1 As shown, it includes a medical equipment management room, an identity authentication module, a first switch door, a second switch door, an intelligent terminal, a cloud platform, an automatic identification module, an appearance detection module, a function detection module and a status detection module;

[0043] The medical equipment management room is used to store medical equipment. The medical equipment management room is provided with a second switch door. When the first switch door and the second switch door are closed, a closed space is formed. An intelligent terminal is provided between the first switch door and the second switch door. The intelligent terminal is connected to the cloud platform for communication.

[0044] The identity authentication module is arranged outside the first switch door, and identity authentication is performed through the identity card. After the identity authentication is passed, the first switch door is opened to allow the user to enter. After the first switch door is closed, the identity information corresponding to the identity card is displayed through the smart terminal, and the identity information is manually confirmed. After manual confirmation, the number of people between the first switch door and the second switch door is detected. When there is only one person, the second switch door is opened, entry is allowed, and the medical equipment lending operation is performed. When the medical equipment is taken out of the second switch door, the specific details of the borrowed medical equipment are obtained through the automatic identification module, and the specific details of the medical equipment are bound to the identity card. After the binding is completed, the first door is opened to complete the lending process;

[0045] The appearance inspection module is used to obtain a first appearance image of the medical device when it is returned, calculate an appearance damage score based on the first appearance image and the initial appearance image of the medical device, and generate a first maintenance warning signal when the appearance damage score is greater than a preset appearance damage score threshold to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, generate an appearance inspection pass signal;

[0046] The function detection module is used to perform an automated function test on the medical device when receiving a signal that the appearance test passes, and to generate a second maintenance warning signal when the function test fails to pass, to notify the staff to perform functional maintenance; and to generate a function test pass signal when the function test passes, to allow the medical device to be returned;

[0047] The status detection module is used to obtain the status parameters of the medical device when receiving a function detection pass signal, calculate the status score according to the status parameters, and generate a maintenance warning signal when the status score is greater than a preset status threshold to notify the staff to perform status maintenance.

[0048] Specifically, the identity authentication module is used to verify the identity of users entering the equipment management room to ensure that only authorized personnel can enter the management room and borrow equipment. The identity authentication module is installed on the outside of the first switch door and performs identity authentication through an identity card. The identity card here includes an employee ID card or other media that can be used for identity authentication. There is no restriction on this. When the user passes the identity card verification, the identity authentication module will trigger the opening of the first switch door and pass the user information to the smart terminal for further manual confirmation.

[0049] The first switch door is used to control the user's access to the equipment management room, ensuring that entry is allowed only after identity authentication. The opening and closing of the first switch door is controlled by the identity authentication module; as a primary security barrier, it prevents unauthorized personnel from entering the management room and provides a physical channel for users to enter after identity confirmation.

[0050] The second switch door is used as the final passage between the user and the medical equipment after the user enters the equipment management room. It is allowed to open only after the user identity and equipment information are confirmed. The first switch door and the second switch door form a closed space outside the equipment management room to ensure that there is no interference from multiple people or misoperation of the equipment during the equipment borrowing and returning process.

[0051] After the identity verification is passed, the smart terminal displays the user information corresponding to the ID card for manual identity confirmation; at the same time, the smart terminal can also be used for other interactions, including device information display and operation records; the smart terminal is set in the area between the first switch door and the second switch door, and communicates with the cloud platform to ensure that user information, device status and operation records can be synchronized and stored in real time. As the central data processing and storage platform of the system, the cloud platform manages all identity information, device information, operation records, and communicates with the smart terminal and other modules through the network.

[0052] In the return process, identity authentication is performed through the identity card. After the identity authentication is passed, the first switch door opens to allow the user to enter with the medical device. After the first switch door is closed, the specific details of the borrowed medical device are obtained through the automatic identification module, and the identity information corresponding to the identity card is displayed through the smart terminal to obtain whether the specific details of the borrowed medical device corresponding to the ID card are consistent with the specific details of the carried medical device. If they are inconsistent, a prompt message is given: you have never borrowed the medical device. If they are consistent, the return process begins. In the first step of the return process, an appearance inspection is performed through the appearance inspection module.

[0053] The automatic identification module is implemented by combining one or more of RFID technology, QR Code technology, image recognition technology and Internet of Things (IoT) technology. The above technologies are all existing technologies and are not limited here. Specifically, in RFID technology, an RFID tag is installed on each medical device. The tag has a unique ID number for identifying a specific device. An RFID reader is installed on the smart terminal. When the device passes through the smart terminal, the reader automatically reads the tag information; in QR code technology, a QR code tag is attached to the medical device, and the user realizes automatic identification and information entry through a scanning device; in Internet of Things (IoT) technology, an IoT sensor or smart tag is installed on the medical device, so that the medical device can communicate with the smart terminal through a wireless network.

[0054] The present invention is further configured such that the appearance detection module includes a first acquisition unit, an image alignment unit, an image difference unit, a damage determination unit, a damage scoring unit and a first threshold determination unit;

[0055] The first acquisition unit is used to acquire a first appearance image of the medical device when it is returned; a current image of the device is acquired through a camera or other imaging device for comparison with the initial appearance image; there is no restriction on the imaging device for acquiring the image;

[0056] The image alignment unit is used to extract feature points of the first appearance image and the initial appearance image using a feature point detection algorithm, match the feature points of the first appearance image and the initial appearance image using a feature matching algorithm, generate feature point pairs, eliminate incorrectly matched feature point pairs using a RANSAC algorithm, and accurately align the first appearance image and the initial appearance image using an affine transformation or a homography transformation; by aligning the images, it is ensured that subsequent image comparisons are performed in the same reference system, and errors caused by differences in shooting angles or positions are eliminated; the above-mentioned feature point detection algorithm, feature matching algorithm, RANSAC algorithm, and affine transformation or homography transformation are all prior arts, and are not described in detail here;

[0057] The image difference unit is used to perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image to obtain a difference image; the present invention is further configured to perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image, and the calculation logic is: D(x,y)=|I1(x,y)-I2(x,y)|, wherein D(x,y) is the absolute value of the pixel difference at the position (x,y) of the aligned first appearance image and the initial appearance image, and I1(x,y) and I2(x,y) are the pixel values ​​at the position (x,y) of the first appearance image and the initial appearance image respectively; the difference image reflects the change in the appearance of the device, and any damage or scratch will appear as a significant pixel difference in the difference image;

[0058] The damage determination unit is used to obtain a difference area according to the difference image, calculate a damage determination score for the difference area according to a preset damage determination calculation logic, and perform damage determination according to the damage determination score, wherein the damage determination result includes damage and scratches; the damage determination score is calculated according to the preset damage determination calculation logic according to the difference image, and the calculation logic is: Among them, D s D is the injury assessment score. s The larger the value, the more prone to scratches. s The smaller the value, the more prone to damage. By setting the damage judgment threshold, when D s When it is greater than the damage judgment threshold, it is judged as a scratch. s When it is less than the damage judgment threshold, it is judged as damaged; A is the area, that is, the total number of pixels in the difference area, P is the perimeter of the area, that is, the pixel length of the edge of the difference area, L is the area length, that is, the maximum length of the difference area, W is the area width, that is, the maximum length perpendicular to the difference area and the area length, σ θ is the standard deviation of directional consistency, θ max is the maximum value of the direction angle, which is used to normalize the standard deviation of the direction consistency. In one embodiment of the present invention, the maximum value of the direction angle is set to 180 degrees or 360 degrees. w1, w2 and w3 are weight coefficients, all of which are greater than 0 and w1+w2+w3=1. By comprehensively considering the area, shape and directionality of the damaged area, a more accurate damage determination result is obtained to distinguish different types of appearance damage.

[0059] The damage scoring unit is used to calculate the damage score and the scratch score according to the damage determination result, and weight them to obtain the appearance damage score; the present invention is further configured that the calculation logic of the damage score is: Among them, S damage Score the damage, A damage is the number of pixels in the damaged area, A totalis the total number of pixels in the difference image, I1(i) and I2(i) are the pixel values ​​of the i-th pixel in the first appearance image and the initial appearance image, respectively, and N damage is the number of pixels in the damaged area; the calculation logic of the scratch score is: Among them, S scratch Score for scratches, L scratch is the number of pixels in the scratch area, I1(j) and I2(j) are the pixel values ​​of the jth pixel in the first appearance image and the initial appearance image, respectively, and N scratch is the number of pixels in the scratch area; the damage score and the scratch score are weighted to obtain the appearance damage score, where the sum of the weight coefficients is 1; through the above logic, the overall damage degree of the device appearance is evaluated and quantified into a score value to determine whether appearance repair is needed;

[0060] The first threshold judgment unit is used to perform threshold judgment based on the appearance damage score. When the appearance damage score is greater than the preset appearance damage score threshold, a first maintenance warning signal is generated to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, an appearance detection pass signal is generated to ensure that the maintenance process is triggered only when the appearance damage reaches a certain level, thereby optimizing equipment maintenance management and improving work efficiency.

[0061] The present invention is further configured to perform automated functional testing on medical devices, including:

[0062] According to the pre-set test scripts, the medical equipment is subjected to automated functional testing, wherein the functional testing includes startup test, response test, sensor detection and data output test. Specifically, the startup test is used to detect whether the equipment can be started correctly to ensure that the equipment can be activated normally before operation. The response test is used to detect the response speed and accuracy of the equipment to input instructions to ensure that the equipment can respond quickly to operations during use. The sensor detection is used to detect whether the sensors inside or outside the equipment are working properly and whether the sensor data is accurate. The data output detection is used to detect whether the data output by the equipment meets expectations to ensure the correctness and integrity of the data.

[0063] During the functional testing process, the actual output data of the medical device is collected in real time. In the pre-set test script, the expected output data is set, and the actual output data is compared with the expected output data. When all tests in the pre-set test script pass, the functional test passes; when any test in the pre-set test script fails, the functional test fails; through automated testing, multiple key functions of the device are covered to ensure that each function of the device is verified before normal use.

[0064] The present invention is further configured to obtain the status parameters of the medical device, the status parameters including: cumulative number of uses, cumulative use time, standard deviation of current fluctuation during operation and current energy efficiency; specifically, during the operation of the device, current data samples are collected within a certain period of time. For example, the current value is collected once per second and recorded in an array or data set I = {I1, I2, ..., I n}, n represents the total number of current values ​​collected; the average current is calculated Calculate the variance of current fluctuations The square root of the variance of the current fluctuation is used to obtain the standard deviation of the current fluctuation. The standard deviation of the current fluctuation provides a quantitative indicator of the stability of the equipment current, helping to identify abnormal fluctuations in equipment operation, especially those that may indicate potential failures. Energy efficiency is used to measure the effectiveness of equipment in utilizing energy during operation. The calculation logic is the effective working output divided by the measured total energy consumption. For medical equipment, the effective working output can be defined as the number of completed examinations. By calculating the energy efficiency, the energy utilization effect of medical equipment can be intuitively understood.

[0065] The present invention is further configured to calculate a state score according to the state parameter, including:

[0066] The equipment use stress index is calculated according to the cumulative number of uses, the cumulative use time and the standard deviation of the current fluctuation during operation; the present invention is further configured that the calculation logic of the equipment use stress index is: Among them, EUSI is the equipment usage stress index, U is the cumulative number of times used, T is the cumulative usage time, σ current The EUSI is the standard deviation of current fluctuation during operation. The equipment usage stress index combines the equipment usage frequency and current fluctuation to provide a comprehensive equipment usage stress index, reflecting the stress level of the equipment during long-term use. A higher EUSI indicates excessive use of the equipment or unstable current.

[0067] The energy efficiency degradation index is calculated according to the current energy consumption efficiency and the initial energy consumption efficiency; the present invention is further configured such that the calculation logic of the energy efficiency degradation index is: Among them, η initial is the initial energy efficiency, η current The energy efficiency degradation index is used to measure the degree of degradation of the energy efficiency of medical equipment. It quantifies the decline in equipment energy efficiency over time compared with the initial energy efficiency, helping to identify equipment aging or energy efficiency problems.

[0068] A status score is calculated according to the equipment usage stress index and the energy efficiency degradation index; the present invention is further configured such that the calculation logic of the status score is: Among them, S statusis the state score, α is a constant, which represents the control parameter of the nonlinear degree, and is used to adjust the influence of the ratio between EUSI and EEDI on the state score. The value range of α is 0.1 to 2.0. K is a constant, which represents the adjustment factor, and is used to balance the influence of EUSI and EEDI. The value range of K is 0.01 to 1.0. Specifically, the ratio function The ratio between EUSI and EEDI is introduced. When the usage stress index is significantly higher than the energy efficiency degradation rate (i.e., the equipment operates under high stress but the energy efficiency degradation is less), this ratio will lead to a further decrease in the status score. On the contrary, when the energy efficiency degradation rate is high and the usage stress is low, the score will also decrease, but not as significantly as the former. The exponential function A nonlinear attenuation mechanism is introduced. When the equipment stress index and energy efficiency degradation index are high, the status score will drop sharply, reflecting the reality that the equipment status deteriorates rapidly under high stress and high energy efficiency degradation. The above calculation logic emphasizes the interdependence between EUSI and EEDI. The status of medical equipment depends not only on the individual values ​​of stress or energy efficiency degradation, but also on the relationship between them. Under high stress conditions, when energy efficiency degradation is more significant, the equipment status may be worse, which is reflected in a greater reduction in the score. Constants K and α provide the ability to adjust different equipment and usage scenarios. By adjusting these parameters, the status score can be made more adaptable to the operating characteristics and historical performance of specific equipment.

[0069] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0070] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0071] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0072] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0073] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0074] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0075] In the several embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0076] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0078] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0079] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A medical equipment management system with automatic identification function, characterized in that: It includes a medical equipment management room, an identity authentication module, a first switch door, a second switch door, an intelligent terminal, a cloud platform, an automatic identification module, an appearance detection module, a function detection module and a status detection module; The medical equipment management room is used to store medical equipment. The medical equipment management room is provided with a second switch door. When the first switch door and the second switch door are closed, a closed space is formed. An intelligent terminal is provided between the first switch door and the second switch door. The intelligent terminal is connected to the cloud platform for communication. The identity authentication module is arranged outside the first switch door, and identity authentication is performed through the identity card. After the identity authentication is passed, the first switch door is opened to allow the user to enter. After the first switch door is closed, the identity information corresponding to the identity card is displayed through the smart terminal, and the identity information is manually confirmed. After manual confirmation, the number of people between the first switch door and the second switch door is detected. When there is only one person, the second switch door is opened, entry is allowed, and the medical equipment lending operation is performed. When the medical equipment is taken out of the second switch door, the specific details of the borrowed medical equipment are obtained through the automatic identification module, and the specific details of the medical equipment are bound to the identity card. After the binding is completed, the first door is opened to complete the lending process; The appearance inspection module is used to obtain a first appearance image of the medical device when it is returned, calculate an appearance damage score based on the first appearance image and the initial appearance image of the medical device, and generate a first maintenance warning signal when the appearance damage score is greater than a preset appearance damage score threshold to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, generate an appearance inspection pass signal; The function detection module is used to perform an automated function test on the medical device when receiving a signal that the appearance detection passes, and to generate a second maintenance warning signal when the function test fails, to notify the staff to perform functional maintenance; When the functional test passes, a functional test pass signal is generated, allowing the medical device to be returned; The status detection module is used to obtain the status parameters of the medical device when receiving a function detection pass signal, calculate the status score according to the status parameters, and generate a maintenance warning signal when the status score is greater than a preset status threshold to notify the staff to perform status maintenance.

2. A medical equipment management system with automatic identification function according to claim 1, characterized in that: The appearance detection module includes a first acquisition unit, an image alignment unit, an image difference unit, a damage determination unit, a damage scoring unit and a first threshold determination unit; The first acquisition unit is used to acquire a first appearance image of the medical device when it is returned; The image alignment unit is used to extract feature points of the first appearance image and the initial appearance image using a feature point detection algorithm, match the feature points of the first appearance image and the initial appearance image using a feature matching algorithm, generate feature point pairs, eliminate incorrectly matched feature point pairs using a RANSAC algorithm, and accurately align the first appearance image and the initial appearance image through an affine transformation or a homography transformation; The image difference unit is used to perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image to obtain a difference image; The damage determination unit is used to obtain a difference area according to the difference image, calculate a damage determination score for the difference area according to a preset damage determination calculation logic, and perform damage determination according to the damage determination score, wherein the damage determination result includes damage and scratches; The damage scoring unit is used to calculate the damage score and the scratch score according to the damage determination result, and weight them to obtain the appearance damage score; The first threshold judgment unit is used to perform threshold judgment based on the appearance damage score. When the appearance damage score is greater than a preset appearance damage score threshold, a first maintenance warning signal is generated to notify the staff to perform appearance maintenance; when the appearance damage score is less than or equal to the preset appearance damage threshold, an appearance detection pass signal is generated.

3. A medical equipment management system with automatic identification function according to claim 2, characterized in that: Perform pixel-by-pixel difference on the aligned first appearance image and the initial appearance image, and the calculation logic is: D(x,y)=|I1(x,y)-I2(x,y)|, where D(x,y) is the absolute value of the pixel difference at the position (x,y) between the aligned first appearance image and the initial appearance image, and I1(x,y) and I2(x,y) are the pixel values ​​at the position (x,y) of the first appearance image and the initial appearance image respectively; The damage judgment score is calculated according to the difference image according to the preset damage judgment calculation logic. The calculation logic is: Among them, D s D is the injury assessment score. s The larger the value, the more prone to scratches. s The smaller the value, the more prone to damage. By setting the damage judgment threshold, when D s When it is greater than the damage judgment threshold, it is judged as a scratch. s When it is less than the damage judgment threshold, it is judged as damaged; A is the area, that is, the total number of pixels in the difference area, P is the perimeter of the area, that is, the pixel length of the edge of the difference area, L is the area length, that is, the maximum length of the difference area, W is the area width, that is, the maximum length perpendicular to the difference area and the area length, σ θ is the standard deviation of directional consistency, θ max is the maximum value of the direction angle, which is used to normalize the standard deviation of the direction consistency. w1, w2 and w3 are weight coefficients, all of which are greater than 0 and w1+w2+w3=1.

4. A medical equipment management system with automatic identification function according to claim 3, characterized in that: The calculation logic of the damage score is: Among them, S damage Score the damage, A damage is the number of pixels in the damaged area, A total is the total number of pixels in the difference image, I1(i) and I2(i) are the pixel values ​​of the i-th pixel in the first appearance image and the initial appearance image, respectively, and N damage is the number of pixels in the damaged area; the calculation logic of the scratch score is: Among them, S scratch Score for scratches, L scratch is the number of pixels in the scratch area, I1(j) and I2(j) are the pixel values ​​of the jth pixel in the first appearance image and the initial appearance image, respectively, and N scratch is the number of pixels in the scratch area; the damage score and the scratch score are weighted to obtain the appearance damage score, where the sum of the weight coefficients is 1.

5. The medical equipment management system with automatic identification function according to claim 1, characterized in that: Automated functional testing of medical devices, including: Perform automated functional testing on medical devices according to pre-set test scripts, where functional testing includes startup testing, response testing, sensor testing, and data output testing; During the functional testing process, the actual output data of the medical device is collected in real time. In the pre-set test script, the expected output data is set, and the actual output data is compared with the expected output data. When all tests in the pre-set test script pass, the functional test passes; when any test in the pre-set test script fails, the functional test fails.

6. A medical equipment management system with automatic identification function according to claim 1, characterized in that: The status parameters of the medical device are obtained, wherein the status parameters include: cumulative usage times, cumulative usage time, standard deviation of current fluctuation during operation, and current energy consumption efficiency.

7. A medical equipment management system with automatic identification function according to claim 6, characterized in that: Calculating a status score according to the status parameter includes: Calculate the equipment usage stress index based on the cumulative number of uses, cumulative usage time, and standard deviation of current fluctuations during operation; Calculate the energy efficiency degradation index according to the current energy consumption efficiency and the initial energy consumption efficiency; A status score is calculated according to the equipment usage stress index and the energy efficiency degradation index.

8. A medical equipment management system with automatic identification function according to claim 7, characterized in that: The calculation logic of the stress index used by the equipment is: Among them, EUSI is the equipment usage stress index, U is the cumulative number of times used, T is the cumulative usage time, σ current is the standard deviation of current fluctuation during operation; the calculation logic of the energy efficiency degradation index is: Among them, η initial is the initial energy efficiency, η current is the current energy efficiency.

9. A medical equipment management system with automatic identification function according to claim 8, characterized in that:The calculation logic of the status score is: Among them, S status is the state score, α is a constant, which represents the control parameter of the degree of nonlinearity, and is used to adjust the influence of the ratio between EUSI and EEDI on the state score. The value range of α is 0.1 to 2.

0. K is a constant, which represents the adjustment factor, and is used to balance the influence of EUSI and EEDI. The value range of K is 0.01 to 1.0.

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