Health management and control method based on medical equipment

Abstract

The invention discloses a health management and control method based on medical equipment, and relates to the field of medical equipment, and the method comprises the steps: collecting running state parameters of a CT scanner in real time, creating a cloud database, and storing the collected running state parameters of the CT scanner based on the cloud database; position sensors are deployed on moving parts of the CT scanner, in the running process of the CT scanner, the position sensors are controlled to run synchronously, position information is sensed in real time, and the motion trails of the moving parts on the CT scanner are constructed based on the sensed position information; according to the method, the running state parameters of the CT scanner are collected in real time and stored in the cloud database, the position sensor is combined to construct the motion trail of the motion part, the running state health of the CT scanner is comprehensively evaluated from the two dimensions of the running state parameters and the motion trail, and whether equipment is healthy or not can be accurately judged. And the running state parameters are marked with timestamps before being stored, and data are updated after each time of maintenance, so that tracing and management are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and particularly to a health management and control method based on medical devices. Background Art

[0002] A CT scanner, i.e., a computed tomography instrument, scans a certain part of the human body at a certain layer thickness through an X-ray beam. The detector receives the X-rays passing through this layer, converts them into visible light, then into electrical signals by a photoelectric converter, and then into digital signals by an analog / digital converter. These digital signals are input into a computer for processing, and finally reconstructed into images and displayed on the screen.

[0003] CT scanning features fast scanning time and clear images, and can be used for diagnosing various diseases, such as tumors, cardiovascular diseases, bone lesions, etc. According to different scanning parts and purposes, it is also divided into head CT, chest CT, abdominal CT, etc. It can provide detailed tomographic images of the internal structure of the human body, helping doctors observe the location, size, and shape of lesions more accurately, and providing key evidence for disease diagnosis, treatment plan formulation, and curative effect evaluation.

[0004] Existing CT scanners in use often ensure the long-term stable performance through regular maintenance and repair. However, due to the numerous and unstable factors affecting the health of CT scanners during operation, the method of regular maintenance and repair obviously cannot meet the health problems that may occur at any time for CT scanners.

[0005] Therefore, we propose a health management and control method based on medical devices. Summary of the Invention

[0006] Aiming at the above-mentioned drawbacks of the existing technology, the present invention provides a health management and control method based on medical devices, which can effectively solve the problems of the existing technology.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions;

[0008] The present invention discloses a health management and control method based on medical devices, including:

[0009] Collect the operating status parameters of the CT scanner in real time, create a cloud database, and store the collected operating status parameters of the CT scanner based on the cloud database; deploy position sensors on the moving parts of the CT scanner, during the operation of the CT scanner, control the position sensors to run synchronously, sense the position information in real time, and construct the motion trajectories of the moving parts on the CT scanner based on the sensed position information; evaluate the health of the CT scanner operating status respectively according to the operating status parameters and motion trajectories stored in the cloud database, and comprehensively evaluate the health of the CT scanner operating status based on the two evaluation results of the CT scanner operating status health; set the determination threshold for the health of the CT scanner operating status, obtain the evaluation result of the CT scanner operating status health, compare the evaluation result with the determination threshold, and determine whether the CT scanner is healthy; in the scenario where the CT scanner is continuously determined to be healthy, continuously record the evaluation result of the health of the CT scanner operating status each time, and generate a dynamic trend chart of the health of the CT scanner operating status based on the recorded evaluation result of the health of the CT scanner operating status.

[0010] Further, the operating status parameters of the CT scanner include: tube voltage, tube current, average time for one scan task currently executed, pitch. Each operating status parameter of the CT scanner is marked with a source timestamp before storage. When the operating status parameters of the CT scanner are stored in the cloud database, they are stored separately based on the timestamps marked for each parameter.

[0011] The operating status parameters of the CT scanner stored in the cloud database are deleted after each repair or maintenance of the CT scanner. The operating status parameters of the CT scanner are sourced from the CT scanner itself. When the user terminal accesses the cloud database, it only has the permission to read and download the stored parameters.

[0012] Further, an abnormal determination range is set in the cloud database corresponding to the operating status parameters of each type of CT scanner. When the cloud database stores the operating status parameters of the CT scanner, it compares the corresponding abnormal determination range with the operating status parameters of the CT scanner for which the storage operation is being performed in real time. When there are operating status parameters of the CT scanner that meet their corresponding abnormal determination range, it is determined that the CT scanner has a fault, and the CT scanner is synchronously controlled to end the operation.

[0013] Furthermore, the movement trajectories of the moving parts on the CT scanner are line segments obtained by connecting multiple position information. The movement trajectories of the moving parts on the CT scanner are synchronously sent to and stored in the cloud database. When the cloud database stores the movement trajectories of the moving parts on the CT scanner, it stores them separately based on the moving parts on the CT scanner from which the movement trajectories originate, and the movement trajectories in each storage interval corresponding to the moving parts on each CT scanner are sorted and stored based on the construction time;

[0014] Among them, the CT scanner operating state parameters stored in the cloud database and the movement trajectories respectively correspond to the same source time interval.

[0015] Furthermore, when evaluating the health of the CT scanner operating state based on the CT scanner operating state parameters, it follows that:

[0016]

[0017] In the formula: H1 is the health of the CT scanner operating state shown from the level of CT scanner operating state parameters; T avg , I avg , V avg , P avg are the average time for performing one scan task currently, the average value of historical tube currents, the average value of historical tube voltages, and the pitch value currently used; T std , I std , V std , P std are the standard time for the CT scanner to perform one scan task, the standard tube current, the standard tube voltage, and the standard pitch value;

[0018] Among them, the closer the value of H1 is to 1, the healthier the surface CT scanner operating state is.

[0019] Furthermore, when evaluating the health of the CT scanner operating state based on the movement trajectory, it follows that:

[0020]

[0021] In the formula: H2 is the health of the CT scanner operating state shown from the level of the movement trajectory; n is the number of storage intervals for storing movement trajectories in the cloud database; m i is the number of movement trajectories stored in the i-th storage interval; DIFF(j, j + 1) is the difference between the j-th movement trajectory and the (j + 1)-th movement trajectory; ω i is the configuration weight coefficient of the i-th storage interval;

[0022] Among them, the weight coefficient corresponding to each differentiated storage interval for storing the motion trajectory is user-defined by the system-side user and follows the rule that the more critical the component on the CT scanner corresponding to the differentiated storage interval is, the larger the value of the weight coefficient is, and DIFF(j,j + 1) is represented based on the Hausdorff distance.

[0023] Furthermore, the health assessment logic of the operating state of the CT scanner is expressed as:

[0024]

[0025] In the formula: H1 is the health of the operating state of the CT scanner manifested from the aspect of the operating state parameters of the CT scanner; H2 is the health of the operating state of the CT scanner manifested from the aspect of the motion trajectory; α and β are weight coefficients.

[0026] Furthermore, both of the weight coefficients α and β are positive numbers, and their sum is 1, and they follow the rule that α and β are initially set to 0.5 respectively. As the number of times of the health assessment of the operating state of the CT scanner increases, α gradually decreases and β gradually increases.

[0027] Furthermore, the health determination threshold of the operating state of the CT scanner is user-defined by the user side. When the health assessment result of the operating state of the CT scanner is greater than or equal to the health determination threshold of the operating state of the CT scanner, it is determined that the operating state of the CT scanner is healthy; otherwise, it is determined that the operating state of the CT scanner is unhealthy.

[0028] Furthermore, the manifestation form of the dynamic trend graph of the health of the operating state of the CT scanner is a line graph. The horizontal axis of the dynamic trend graph of the health of the operating state of the CT scanner represents time, and the vertical axis represents the health assessment results of each operation state of the CT scanner;

[0029] Among them, the user side, based on observing the dynamic trend graph of the health of the operating state of the CT scanner, identifies whether there are potential problems with the CT scanner: when the health assessment results of the latest three segments in the dynamic trend graph of the health of the operating state of the CT scanner show a continuous downward trend, it indicates that there are potential problems with the CT scanner.

[0030] Adopting the technical solution provided by the present invention, compared with the known prior art, it has the following beneficial effects:

[0031] The present invention provides a health control method based on medical equipment. During the execution of this method, by collecting the operating state parameters of a CT scanner in real time and storing them in a cloud database, and combining with a position sensor to construct the movement trajectory of the moving parts, the health of the operating state of the CT scanner is comprehensively evaluated from two dimensions of the operating state parameters and the movement trajectory, and it can accurately judge whether the equipment is healthy. The operating state parameters are marked with timestamps before storage, and the data is updated after each maintenance, which is convenient for traceability and management. The cloud database sets an abnormal determination range, which can detect faults in time and stop the operation of the equipment to ensure safety. The health evaluation formula is scientific and reasonable, and the evaluation result is compared with a custom determination threshold, and the result is accurate. Continuously record the health evaluation results to generate a dynamic trend graph, which is visually presented in the form of a line graph, so that users can easily discover potential problems by observing the trend graph, and then take measures in advance to maintain the equipment, extend the service life of the equipment, ensure the stable and reliable operation of the CT scanner, and guarantee the quality of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0033] Figure 1 It is a schematic flow chart of a health control method based on medical equipment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] The following further describes the present invention with reference to the embodiments.

[0036] Embodiment:

[0037] A health control method based on medical equipment in this embodiment, as Figure 1 shown, includes:

[0038] Collect the operating state parameters of the CT scanner in real time, create a cloud database, and store the collected operating state parameters of the CT scanner based on the cloud database;

[0039] The operating status parameters of the CT scanner include: tube voltage, tube current, the average time for one current scan task, and pitch. Each operating status parameter of the CT scanner is marked with a source timestamp before storage. When the operating status parameters of the CT scanner are stored in the cloud database, they are stored separately based on the timestamps marked for each parameter;

[0040] The operating status parameters of the CT scanner stored in the cloud database are deleted after each repair or maintenance of the CT scanner. The operating status parameters of the CT scanner are sourced from the CT scanner itself. When the user side accesses the cloud database, it only has the right to read and download the stored parameters;

[0041] Abnormal determination intervals are set in the cloud database for the operating status parameters corresponding to each type of CT scanner. When the cloud database stores the operating status parameters of the CT scanner, it compares the corresponding abnormal determination intervals with the operating status parameters of the CT scanner performing the storage operation in real time. When there are operating status parameters of the CT scanner that meet their corresponding abnormal determination intervals, it is determined that the CT scanner has a fault, and the CT scanner is synchronously controlled to end its operation;

[0042] Position sensors are deployed on the moving parts of the CT scanner. During the operation of the CT scanner, the position sensors are controlled to run synchronously to sense the position information in real time, and the movement trajectories of the moving parts on the CT scanner are constructed based on the sensed position information;

[0043] The movement trajectories of the moving parts on the CT scanner are line segments obtained by connecting multiple position information. The movement trajectories of the moving parts on the CT scanner are synchronously sent to the cloud database for storage. When the cloud database stores the movement trajectories of the moving parts on the CT scanner, they are stored separately based on the moving parts on the CT scanner from which the movement trajectories originate, and the movement trajectories in each storage interval corresponding to the moving parts on each CT scanner are sorted and stored based on the construction time;

[0044] Among them, the time intervals corresponding to the sources of the operating status parameters of the CT scanner stored in the cloud database and the movement trajectories are the same; [[ID=Id=17]]

[0045] The health of the CT scanner operation is evaluated based on the operating status parameters and movement trajectories of the CT scanner stored in the cloud database respectively, and the health of the CT scanner operation is comprehensively evaluated based on the evaluation results of the health of the two CT scanner operations;

[0046] [[ID=ID=21]]When evaluating the health of the CT scanner operation based on the operating status parameters of the CT scanner, it follows:

[0047]

[0048] Where: H1 represents the health of the CT scanner's operating status as manifested at the level of the CT scanner's operating status parameters; T avg 、I avg 、V avg 、P avg are the average time for one scan task currently executed, the average value of historical tube current, the average value of historical tube voltage, and the pitch value currently used; T std 、I std 、V std 、P std are the standard time for one scan task of the CT scanner, the standard tube current, the standard tube voltage, and the standard pitch value;

[0049] Among them, the closer the value of H1 is to 1, the healthier the surface CT scanner's operating status;

[0050] When evaluating the health of the CT scanner's operating status based on the motion trajectory, it follows:

[0051]

[0052] Where: H2 represents the health of the CT scanner's operating status as manifested at the level of the motion trajectory; n is the number of distinct storage intervals for storing motion trajectories in the cloud database; m i is the number of motion trajectories stored in the i-th distinct storage interval; DIFF(j, j + 1) is the difference between the j-th motion trajectory and the (j + 1)-th motion trajectory; ω i is the configuration weight coefficient for the i-th distinct storage interval;

[0053] Among them, the weight coefficient corresponding to each distinct storage interval for storing motion trajectories is user-defined by the system-side user and follows: the more critical the component on the CT scanner corresponding to the distinct storage interval, the larger the value of the weight coefficient, and DIFF(j, j + 1) is represented based on the Hausdorff distance;

[0054] Through the above logical formula, the distributed calculation of the health of the CT scanner's operating status is carried out, providing support for the subsequent comprehensive evaluation of the health of the CT scanner's operating status in this embodiment;

[0055] The evaluation logic of the health of the CT scanner's operating status is expressed as:

[0056]

[0057] Where: H1 represents the health of the CT scanner's operating status as manifested at the level of the CT scanner's operating status parameters; H2 represents the health of the CT scanner's operating status as manifested at the level of the motion trajectory; α, β are weight coefficients;

[0058] The weight coefficients α and β are both positive numbers, and their sum is 1, and they follow: α and β are initially set to 0.5. As the number of health assessments of the CT scanner's operating status increases, α gradually decreases and β gradually increases;

[0059] Through the above formula, the comprehensive assessment logic of the CT scanner's operating status health is further defined to ensure the stable output of the CT scanner's operating status health assessment;

[0060] Set the health determination threshold for the CT scanner's operating status, obtain the health assessment result of the CT scanner's operating status, and compare the assessment result with the determination threshold to determine whether the CT scanner is healthy;

[0061] In the scenario where the CT scanner is continuously determined to be healthy, continuously record the health assessment result of each CT scanner's operating status, and generate a dynamic trend chart of the CT scanner's operating status health based on the recorded health assessment results of the CT scanner's operating status;

[0062] The health determination threshold of the CT scanner's operating status is user-defined. When the health assessment result of the CT scanner's operating status is greater than or equal to the health determination threshold of the CT scanner's operating status, it is determined that the CT scanner's operating status is healthy; otherwise, it is determined that the CT scanner's operating status is unhealthy;

[0063] The form of the dynamic trend chart of the CT scanner's operating status health is a line chart. The horizontal axis of the dynamic trend chart of the CT scanner's operating status health represents time, and the vertical axis represents the health assessment results of each CT scanner's operating status;

[0064] Among them, the user end identifies whether there are potential problems with the CT scanner based on observing the dynamic trend chart of the CT scanner's operating status health: when the latest three segments in the dynamic trend chart of the CT scanner's operating status health show a continuous downward trend in the health assessment results of the CT scanner's operating status, it indicates that there are potential problems with the CT scanner.

[0065] In summary, during the execution of the method in the above embodiments, by collecting the operating state parameters of the CT scanner in real time and storing them in the cloud database, and combining with the position sensor to construct the motion trajectory of the moving parts, the health of the CT scanner operating state is comprehensively evaluated from two dimensions of the operating state parameters and the motion trajectory, and it can accurately judge whether the device is healthy. The operating state parameters are marked with timestamps before storage, and the data is updated after each repair and maintenance, which is convenient for traceability and management. The cloud database sets an abnormal determination range, which can detect faults in time and stop the operation of the device to ensure safety. The health evaluation formula is scientific and reasonable, and the evaluation result is compared with the custom determination threshold, and the result is accurate. Continuously record the health evaluation results to generate a dynamic trend chart, which is visually presented in the form of a line chart, so that users can easily discover potential problems by observing the trend chart, and then take measures in advance to maintain the device, extend the service life of the device, ensure the stable and reliable operation of the CT scanner, and guarantee the quality of medical services.

[0066] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A health control method based on medical devices, characterized in that Including: Real-time collect the operating status parameters of the CT scanner, create a cloud database, and store the collected operating status parameters of the CT scanner based on the cloud database; Deploy position sensors on the moving parts of the CT scanner. During the operation of the CT scanner, control the position sensors to run synchronously, sense the position information in real time, and construct the movement trajectories of the moving parts on the CT scanner based on the sensed position information; Evaluate the health of the CT scanner's operating status respectively according to the operating status parameters and movement trajectories stored in the cloud database, and comprehensively evaluate the health of the CT scanner's operating status based on the two evaluation results of the CT scanner's operating status health; Set the determination threshold for the health of the CT scanner's operating status, obtain the evaluation result of the CT scanner's operating status health, and compare the evaluation result with the determination threshold to determine whether the CT scanner is healthy; In the scenario where the CT scanner is continuously determined to be healthy, continuously record the evaluation result of the health of the CT scanner's operating status each time, and generate a dynamic trend chart of the health of the CT scanner's operating status based on the recorded evaluation result of the health of the CT scanner's operating status; 2. The health control method based on medical devices according to claim 1, wherein, The operating status parameters of the CT scanner include: tube voltage, tube current, average time for one scan task currently executed, pitch. Each operating status parameter of the CT scanner is marked with a source timestamp before storage. When the operating status parameters of the CT scanner are stored in the cloud database, they are stored separately based on the timestamps marked for each parameter; The operating status parameters of the CT scanner stored in the cloud database are deleted after each repair or maintenance of the CT scanner. The operating status parameters of the CT scanner are sourced from the CT scanner itself. When the user end accesses the cloud database, it only has the right to read and download the stored parameters; 3. The health control method based on medical devices according to claim 1, characterized in that, An abnormal determination interval is set in the cloud database to synchronize the operating status parameters corresponding to each type of CT scanner. When the cloud database stores the operating status parameters of the CT scanner, it compares the corresponding abnormal determination interval with the operating status parameters of the CT scanner for which the storage operation is being performed in real time. When there are operating status parameters of the CT scanner that meet their corresponding abnormal determination intervals, it is determined that the CT scanner has a fault, and the CT scanner is synchronously controlled to end the operation; 4. A health management method based on medical equipment according to claim 1, characterized in that: The movement trajectories of the moving parts on the CT scanner are the line segments obtained by connecting multiple position information. The movement trajectories of the moving parts on the CT scanner are synchronously sent to the cloud database and stored in the cloud database. When the cloud database stores the movement trajectories of the moving parts on the CT scanner, they are stored separately based on the moving parts on the CT scanner from which the movement trajectories originate, and each movement trajectory in the storage interval corresponding to the moving parts on each CT scanner is sorted and stored based on the construction time; Among them, the source time intervals corresponding to the operating status parameters and movement trajectories of the CT scanner stored in the cloud database are the same; 5. The health control method based on medical devices according to claim 1, characterized in that, When evaluating the health of the CT scanner's operating status based on the operating status parameters of the CT scanner, it follows: Where: H1 is the health of the CT scanner operating status expressed from the perspective of CT scanner operating status parameters; T avg 、I avg 、V avg 、P avg are the average time for one current scan task, the average value of historical tube current, the average value of historical tube voltage, and the pitch value currently in use; T std 、I std 、V std 、P std are the standard time for one scan task performed by the CT scanner, the standard tube current, the standard tube voltage, and the standard pitch value; The closer the value of H1 is to 1, the healthier the surface CT scanner is.

6. The health control method based on a medical device according to claim 1, wherein, The CT scanner operational health, when evaluated based on the motion trajectory, is subject to: Where: H2 represents the health of the CT scanner's operating state as manifested from the perspective of the motion trajectory; n is the number of distinct storage intervals for storing motion trajectories in the cloud database; m i is the number of motion trajectories stored in the i-th distinct storage interval; DIFF(j,j + 1) is the difference between the j-th motion trajectory and the (j + 1)-th motion trajectory; ω i is the configuration weight coefficient of the i-th differentiated storage interval; Among them, the weight coefficient corresponding to each differentiated storage interval storing the motion trajectory is user-defined by the system-side user and follows that the more critical the component on the CT scanner corresponding to the differentiated storage interval is, the larger the value of the weight coefficient is, and DIFF(j, j + 1) is represented based on the Hausdorff distance.

7. A health management method based on medical devices according to claim 1, characterized in that, The CT scanner operation health assessment logic is expressed as: Where: H1 is the health of the CT scanner's operating status expressed from the perspective of CT scanner operating status parameters; H2 is the health of the CT scanner's operating status expressed from the perspective of motion trajectory; α and β are weight coefficients.

8. A health management method based on medical equipment according to claim 7, characterized in that: The weight coefficients α and β are both positive numbers, and their sum is 1, and obey the following rules: α and β are initially set to 0.5 respectively, and as the number of CT scanner operation health assessments increases, α gradually decreases and β gradually increases.

9. A health control method based on medical devices according to claim 1, characterized in that, The CT scanner operating status health determination threshold is customized by the user end. When the CT scanner operating status health assessment result is greater than or equal to the CT scanner operating status health determination threshold, the CT scanner operating status is determined to be healthy; otherwise, the CT scanner operating status is determined to be unhealthy.

10. The health management method based on medical devices according to claim 1, characterized in that, The CT scanner operating status health dynamic trend graph is presented in the form of a line graph, wherein the horizontal axis of the CT scanner operating status health dynamic trend graph represents time, and the vertical axis represents the operating status health assessment results of each CT scanner; Among them, the user end identifies whether the CT scanner has hidden dangers based on observing the dynamic trend chart of the CT scanner's operating status health: when the latest three segments in the dynamic trend chart of the CT scanner's operating status health indicate that the CT scanner's operating status health assessment results show a continuous downward trend, it means that the CT scanner has hidden dangers.

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