CN111371893A - Medical image equipment state remote monitoring system and method based on cloud platform - Google Patents
Medical image equipment state remote monitoring system and method based on cloud platform Download PDFInfo
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Abstract
The invention relates to the technical field of medical imaging systems, in particular to a system and a method for remotely monitoring the state of medical imaging equipment based on a cloud platform. The system comprises a data acquisition terminal, a monitoring cloud platform and a monitoring client, wherein the data acquisition terminal acquires the operating state data of the medical imaging equipment and sends the operating state data to the monitoring cloud platform; the monitoring cloud platform receives, stores and analyzes the operating state data of the medical imaging equipment to generate a diagnosis analysis report; the monitoring client receives the running state data and the diagnosis and analysis report of the medical imaging equipment to realize cloud monitoring on the medical imaging equipment. The whole monitoring and informing process is completed in a fully automatic mode, manual participation is not needed, the maintenance pressure of a service engineer is greatly reduced, and the equipment coverage quantity of a single service engineer is increased. The service engineer can check the real-time running state of each device in the system at any time and any place through the intelligent client, and arrange maintenance matters in advance when receiving the early warning notice.
Description
Technical Field
The invention relates to the technical field of medical imaging systems, in particular to a system and a method for remotely monitoring the state of medical imaging equipment based on a cloud platform.
Background
PET (positron Emission tomography) is called positron Emission tomography, and nuclides capable of emitting positrons are marked on a compound capable of participating in blood flow or metabolic process of human tissues, so that distribution information images of the nuclides marked on the cross section, the coronal section and the sagittal section of a human body are obtained. CT (computed tomography) is an electronic computer tomography, and uses an X-ray beam and a detector with extremely high sensitivity to scan the cross section of a human body together to obtain anatomical images of the cross section, the coronal section and the sagittal section of the human body. PET-CT is a combination of two techniques to fuse medical images produced by PET and CT as a diagnosis in clinical physiology and pathology.
The PET-CT apparatus inevitably malfunctions during long-term use. Usually, when a fault occurs, the system will give an alarm through a user interface to inform an operation technician on the site that scanning cannot be performed, and after the technician reports to the manufacturer, the manufacturer arranges a service engineer to go to the hospital site. This approach can result in equipment downtime and cancellation of the patient scan for the day. Especially if a patient has been injected with tracer medication, not only is a large amount of cost wasted, but also unnecessary radiation is received, which has a significant negative impact on both the hospital and the patient.
Some PET-CT manufacturers provide a remote maintenance mode, and the remote maintenance mode is connected with an equipment console workstation through remote control software, and diagnosis and maintenance are carried out. This approach can quickly resolve some simple failures, but still only allow for processing after a failure has occurred. In addition, for complex fault types, service engineers are required to go to the field for treatment, and equipment shutdown can still be caused.
Disclosure of Invention
Technical problem to be solved
Aiming at the existing technical problems, the invention provides a remote monitoring system and a remote monitoring method for the state of medical imaging equipment based on a cloud platform, which are used for solving the technical problems that the medical imaging equipment cannot timely detect potential faults and cannot prejudge the faults in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention adopts the main technical scheme that:
in a first aspect, the invention provides a remote medical imaging device state monitoring system based on a cloud platform, comprising at least one data acquisition terminal, a monitoring cloud platform and at least one monitoring client, wherein,
the data acquisition terminal is arranged corresponding to the medical imaging equipment to acquire the running state data of the medical imaging equipment and communicates with the monitoring cloud platform to send the running state data of the medical imaging equipment to the monitoring cloud platform;
the monitoring cloud platform receives and stores the operating state data of the medical imaging equipment, analyzes the operating state data of the medical imaging equipment to generate a diagnosis and analysis report, and communicates with the monitoring client to send the operating state data of the medical imaging equipment and the diagnosis and analysis report to the monitoring client;
the monitoring client receives the running state data of the medical imaging equipment and the diagnosis analysis report so as to realize cloud monitoring on the medical imaging equipment.
Optionally, the operation state data of the medical imaging device at least includes one or more of a medical imaging device subsystem operation log, a user interface warning, a prompt record, a detector voltage and temperature, a bulb tube heat capacity parameter value, and daily quality control data.
Optionally, the monitoring cloud platform analyzes and evaluates the operation state trend of the medical imaging device according to the current operation state data and the historical operation state data of the medical imaging device, so as to generate the diagnosis analysis report.
Optionally, the monitoring cloud platform further analyzes and evaluates the operation state trend of the current medical imaging device according to the current operation state data and the historical operation state data of the current medical imaging device and the historical operation state data of the medical imaging device associated with the current medical imaging device, so as to generate a diagnostic analysis report of the current medical imaging device.
Optionally, when the diagnosis analysis report includes an abnormal event of the medical imaging device, the monitoring cloud platform further generates alarm information according to the abnormal event, and sends the alarm information to the monitoring client.
In a second aspect, the invention provides a medical imaging device state remote monitoring method based on a cloud platform, which comprises the following steps:
acquiring the running state data of the medical imaging equipment, and sending the running state data of the medical imaging equipment to a monitoring cloud platform;
the monitoring cloud platform receives and stores the operating state data of the medical imaging equipment, analyzes the operating state data of the medical imaging equipment to generate a diagnosis and analysis report, and communicates with a monitoring client to send the operating state data of the medical imaging equipment and the diagnosis and analysis report to the monitoring client;
the monitoring client receives the running state data of the medical imaging equipment and the diagnosis analysis report so as to realize cloud monitoring on the medical imaging equipment.
Optionally, the operation state data of the medical imaging device at least includes one or more of a medical imaging device subsystem operation log, a user interface warning, a prompt record, a detector voltage and temperature, a bulb tube heat capacity parameter value, and daily quality control data.
Optionally, the generating a diagnostic analysis report includes: and the monitoring cloud platform analyzes and evaluates the operation state trend of the medical imaging equipment according to the current operation state data and the historical operation state data of the medical imaging equipment so as to generate the diagnosis analysis report.
Optionally, the monitoring cloud platform further analyzes and evaluates the operation state trend of the current medical imaging device according to the current operation state data and the historical operation state data of the current medical imaging device and the historical operation state data of the medical imaging device associated with the current medical imaging device, so as to generate a diagnostic analysis report of the current medical imaging device.
Optionally, when the diagnosis analysis report includes an abnormal event of the medical imaging device, the monitoring cloud platform further generates alarm information according to the abnormal event, and sends the alarm information to the monitoring client.
(III) advantageous effects
The remote monitoring system and the remote monitoring method for the state of the medical imaging equipment based on the cloud platform, provided by the invention, are used for carrying out real-time acquisition, storage and automatic analysis on the running state data of the medical imaging equipment, and giving a processing scheme according to a preset abnormal processing program when an abnormal event is diagnosed, so that a site technician or a service maintainer is informed to carry out intervention processing, the occurrence rate of serious accidents such as equipment halt and the like is effectively reduced, and the satisfaction degree of hospitals and patients is improved.
1) The remote monitoring system and the remote monitoring method for the medical imaging equipment state based on the cloud platform can acquire and store real-time state data of the medical imaging equipment. The service engineer, the field technician and/or the research and development engineer can master various types of state data of the medical imaging equipment at any time and any place through the monitoring client.
2) The remote monitoring system and method for the medical image equipment state based on the cloud platform also call different analysis methods according to the type of the running state data to generate various analysis results and form a diagnosis analysis report. The service engineer, the field technician and/or the research and development engineer can know the variation trend of various kinds of operation state data of the medical imaging equipment, prejudge possible faults and intervene in advance according to the possible faults.
3) When the change trend of various kinds of operation state data of the medical imaging equipment exceeds a preset threshold value or other abnormal events occur, the cloud monitoring system sends an alarm notification in time. Therefore, the service engineer, the field technician and/or the research and development engineer can master the fault information in time and make a maintenance method, and the maintenance efficiency is improved.
4) Through the remote monitoring system and the remote monitoring method for the medical image equipment state based on the cloud platform, the micro changes of various state data of the medical image equipment can be acquired in time, intervention is performed in time, major faults such as shutdown are avoided, and therefore the medical image equipment can be guaranteed to operate stably for a long time.
Therefore, the whole monitoring and informing process is completely automatically completed by the remote monitoring system and method of the medical imaging equipment state based on the cloud platform, manual participation is not needed, the maintenance pressure of a service engineer is greatly reduced, and the equipment coverage quantity of a single service engineer is increased. The service engineer can check the real-time running state of each device in the system at any time and any place through the monitoring client, and prepare service spare parts in advance and arrange maintenance time when receiving the early warning notification.
Drawings
Fig. 1 is a system architecture diagram of a remote monitoring system for medical image equipment status based on a cloud platform according to an embodiment of the invention;
fig. 2 is a flowchart of processing performed by the monitoring cloud platform after receiving the device operation status data according to an embodiment of the present invention.
Detailed Description
For the purpose of better explaining the present invention, the present invention will be described in detail by way of specific embodiments for easy understanding.
In an embodiment of the invention, the medical imaging device may be a PET-CT device. It is understood that in other embodiments of the present invention, the medical imaging device may also be a CT, X-Ray, MRI, etc. device, which is not limited in this respect.
The present invention is made based on the recognition and study of the following problems by the inventors:
the PET-CT equipment has the problems of failure and the like in the operation process. By analyzing the failure cause of the PET-CT device, the inventor finds that most failures are not sudden. Spider-web trails can be found from early system operation logs or small changes in key parameters. These minor changes accumulate over time and evolve into serious problems leading to outages. If the problems can be detected and intervened in time at the early stage of occurrence, the problem deterioration can be effectively avoided; for the faults that the hardware needs to be replaced, if the possibility of hardware damage can be predicted, the hospital can reserve the maintenance time in advance for hardware replacement and equipment maintenance, and the influence degree is reduced to the minimum.
In addition, the judgment of whether the equipment will cause the fault, the severity level of the fault, what kind of treatment measures to take and the like needs to depend on the professional of the equipment manufacturer, even exceeds the capability scope of the service engineer, and needs the professional research and development engineer to treat the fault, which also causes the situation that the equipment fault cannot be treated in time.
Therefore, in order to ensure that the PET-CT equipment can stably operate for a long time, the invention provides an automatic system independent of manual operation, which can timely detect potential faults of the equipment and can pre-judge the possibility of the faults by combining historical data.
The system and the method for remotely monitoring the state of the cloud platform-based PET-CT equipment, which are provided by the embodiment of the invention, are described with reference to the accompanying drawings.
Fig. 1 is a system architecture diagram of a medical imaging device status remote monitoring system (hereinafter referred to as a cloud monitoring system) based on a cloud platform; fig. 2 is a processing flow diagram of the monitoring cloud platform after receiving the device operation state data.
According to one embodiment of the invention, the medical imaging device is a PET-CT device. The system comprises at least one PET-CT equipment data acquisition terminal, a monitoring cloud platform and at least one monitoring client. Referring to fig. 1, the PET-CT apparatus data acquisition terminal and the monitoring client may be plural.
The data acquisition terminal is arranged corresponding to the PET-CT equipment to acquire the running state data of the PET-CT equipment and is communicated with the monitoring cloud platform to send the running state data of the PET-CT equipment to the monitoring cloud platform; the monitoring cloud platform receives and stores the operation state data of the PET-CT equipment, analyzes the operation state data of the PET-CT equipment to generate a diagnosis and analysis report, and communicates with the monitoring client to send the operation state data of the PET-CT equipment and the diagnosis and analysis report to the monitoring client; the monitoring client receives the operation state data and the diagnosis and analysis report of the PET-CT equipment to realize cloud monitoring on the PET-CT equipment.
Therefore, the remote monitoring system for the state of the PET-CT equipment based on the cloud platform provided by the embodiment of the invention can effectively reduce the occurrence rate of serious accidents such as equipment shutdown and the like and improve the satisfaction degree of hospitals and patients by acquiring, storing and automatically analyzing the running state data of the PET-CT equipment in real time, giving a processing scheme according to the actual analysis condition and informing a field technician or service maintenance personnel to perform intervention processing through the monitoring client.
As an embodiment, the data acquisition terminal may be disposed on a workstation of a PET-CT device console, the monitoring cloud platform may be disposed on a cloud server, and the monitoring client may be in the form of an intelligent client, including various electronic device terminals such as a smart phone, a tablet computer, and a laptop computer.
The cloud monitoring system can comprise one or more data acquisition terminals, and each data acquisition terminal corresponds to one PET-CT device so as to acquire the operation state data of the PET-CT device. The operation state data of the PET-CT equipment comprises operation logs of all subsystems of the PET-CT equipment, user interface warning and prompt records, key parameter values such as detector voltage and temperature, bulb tube heat capacity and the like, daily quality control data and the like. The data acquisition terminal is communicated with the monitoring cloud platform through a network and sends real-time state data of the operation of the PET-CT equipment to the monitoring cloud platform.
The monitoring cloud platform receives and stores real-time state data of operation of each PET-CT device sent by each data acquisition terminal, and calls the automatic analysis module to analyze the real-time state data to generate a diagnosis analysis report. The monitoring cloud platform can analyze and evaluate the operation state trend of the current PET-CT equipment according to the current operation state data and the historical operation state data of the current PET-CT equipment so as to generate a diagnosis analysis report of the current PET-CT equipment. The monitoring cloud platform can also analyze and evaluate the operation state trend of the current PET-CT device according to the current operation state data and the historical operation state data of the current PET-CT device and the historical operation state data of the PET-CT device associated with the current PET-CT device so as to generate a diagnosis analysis report of the current PET-CT device.
In the monitoring system, one or more monitoring clients may be included. The monitoring client communicates with the monitoring cloud platform through a network, can query the current real-time running state of the PET-CT equipment, the running state of the PET-CT equipment at a certain historical moment and the change trend graph of various running parameters, and can query the diagnosis analysis report of the PET-CT equipment. Each monitoring client corresponds to a user, and the user can be a service engineer, a research and development engineer or a hospital technician. The monitoring client can access the equipment information only after the user logs in, and the authority control based on the role determines which PET-CT equipment can be seen by the user and which information on the PET-CT equipment can be seen by the user. The monitoring cloud platform can also actively push alarm messages to the monitoring client through the network and push alarm short messages to mobile phones of related personnel.
Referring to fig. 2, a flowchart of a process of monitoring the cloud platform after receiving the device operation status data is shown.
As one embodiment, the medical imaging device is a PET-CT device. The equipment operation state data comprises operation logs of all subsystems of the PET-CT equipment, user interface warning and prompt records, key parameter values such as detector voltage and temperature, bulb tube heat capacity and the like, and daily quality control data. And the monitoring cloud platform stores the state data in a database of the monitoring cloud platform after receiving the state data. And then, the monitoring cloud platform calls an automatic analysis module to analyze the state data, and finally, a diagnosis analysis report is generated. And the automatic analysis module calls different analysis methods according to the type of the running state data of the PET-CT equipment.
For example, for the PET daily quality control data, the automatic analysis module calls a PET daily quality control data analysis method, the analysis method compares each result of log quality control with a threshold, and if the result exceeds the threshold, the analysis method is defined as abnormal data; the analysis method also can combine the PET historical quality control data and the PET historical daily quality control data of the PET-CT device associated with the PET-CT device, analyze the longitudinal and transverse changes of each item of PET data, evaluate the change trend of each item of PET data and generate an analysis result, for example, generate a change trend chart of the PET daily quality control data.
By way of example, PET daily quality control data includes detector performance data. The monitoring cloud platform receives PET daily quality control data including detector performance data and stores the data in a database; for these data, the automatic analysis module invokes the PET daily quality control data analysis method. When the analysis method is used for analyzing daily quality control data of PET, not only the current-day performance data of the detector is analyzed, but also the change of the performance data of the detector is analyzed by combining the historical performance data of the detector and the performance data of the detector on related PET-CT equipment, so that a change trend chart of the performance data of the detector is generated. In addition, the analysis method also evaluates the variation trend of the detector performance data, and generates an abnormal event if the variation trend of the detector performance data exceeds a preset threshold value.
As a further example, for the temperature data of the PET detector, the automatic analysis module calls a PET detector temperature data analysis method, the analysis method scans each detector module, preprocesses the temperature data of each monitoring point inside the detector module, and obtains a temperature value curve of each temperature monitoring point of each detector changing with time, where the number of curves is the number of detectors multiplied by the number of temperature monitoring points. And comparing the peak value of each curve with a preset threshold value of a corresponding monitoring point, and if the peak value exceeds the threshold value, defining the data as abnormal data. Further, the change trend of each curve is analyzed, and if the change trend is steep and exceeds a set safety slope, the data is also defined as abnormal data.
For example, for each subsystem operation log of the PET-CT equipment, the automatic analysis module calls a PET-CT equipment subsystem operation log analysis method to analyze the PET-CT equipment subsystem operation log and generate an analysis result. The analysis method is carried out in sequence according to preset analysis categories, and the analysis categories can be dynamically expanded according to requirements. Firstly, extracting warning and error contents in a log, and identifying a module, an occurrence time and a current system action; secondly, scanning the hardware running state of the workstation, such as whether the residual space of the hard disk reaches an alarm threshold value, whether network connection is disconnected frequently, whether the workstation is abnormally restarted, and the like; and thirdly, analyzing the use habits of the user and judging whether unconventional operation exists or not.
By way of example, a PET-CT apparatus includes various subsystems of PET and CT scan procedures, image reconstruction, data management, detector control, and so forth. The monitoring cloud platform receives the operation logs of the subsystems and stores the operation logs in a database; for the subsystem operation logs, the automatic analysis module calls a PET-CT equipment subsystem operation log analysis method, the analysis method sequentially analyzes the operation logs of the PET and CT scanning processes, image reconstruction, data management, detector control and other subsystems, and generates analysis results, for example, warning contents in the subsystem operation logs are extracted as the analysis results.
And for other operation state data of the PET-CT equipment, the automatic analysis module calls a corresponding analysis method to analyze the state data and generate an analysis result.
And the monitoring cloud platform forms a diagnosis analysis report according to various analysis results. The monitoring client can acquire a diagnosis and analysis report at any time through the network and know various analysis results of the operation state data of the PET-CT equipment. And if the diagnosis analysis report prompts that the current equipment has an abnormal event, the monitoring cloud platform calls an alarm notification module. And the alarm notification module calculates objects for receiving the notifications and sends alarm notifications to the objects in a short message and/or intelligent client pushing mode. The notification object may be a service engineer, a field technician, or a research and development engineer, among other related personnel. The content of the alarm notification includes the type of the abnormal event, detailed description, severity level, handling measures, and the like.
The cloud monitoring system according to the embodiment can acquire and store real-time state data of each PET-CT device, and call different analysis methods according to the type of the operation state data to generate various analysis results and form a diagnosis analysis report. Therefore, service engineers, field technicians and/or research and development engineers can timely master various current and historical state data and the change trend of various operating state data of the PET-CT equipment at any time and any place, pre-judge possible faults and timely intervene to avoid major faults such as shutdown and the like. When the change trend of various types of operation state data of the PET-CT equipment exceeds a preset threshold value or other abnormal events occur, the cloud monitoring system also sends an alarm notification in time. Therefore, service engineers, field technicians and/or research and development engineers can acquire the types and detailed descriptions of abnormal events in time, prepare maintenance schemes in advance and schedule maintenance time, and therefore long-term stable operation of the PET-CT equipment is guaranteed.
The technical principles of the present invention have been described above in connection with specific embodiments, which are intended to explain the principles of the present invention and should not be construed as limiting the scope of the present invention in any way. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive efforts, which shall fall within the scope of the present invention.
Claims (10)
1. A remote medical imaging equipment state monitoring system based on a cloud platform is characterized by comprising at least one data acquisition terminal, a monitoring cloud platform and at least one monitoring client, wherein,
the data acquisition terminal is arranged corresponding to the medical imaging equipment to acquire the running state data of the medical imaging equipment and communicates with the monitoring cloud platform to send the running state data of the medical imaging equipment to the monitoring cloud platform;
the monitoring cloud platform receives and stores the operating state data of the medical imaging equipment, analyzes the operating state data of the medical imaging equipment to generate a diagnosis and analysis report, and communicates with the monitoring client to send the operating state data of the medical imaging equipment and the diagnosis and analysis report to the monitoring client;
the monitoring client receives the running state data of the medical imaging equipment and the diagnosis analysis report so as to realize cloud monitoring on the medical imaging equipment.
2. The cloud platform based medical imaging device status remote monitoring system of claim 1, wherein the operational status data of the medical imaging device includes at least one or more of medical imaging device subsystem operational logs, user interface warnings, prompt logs, probe voltages and temperatures, bulb tube heat capacity parameter values, and daily quality control data.
3. The cloud platform-based medical imaging device status remote monitoring system according to claim 1 or 2, wherein the monitoring cloud platform analyzes and evaluates the operating status trend of the medical imaging device according to the current operating status data and the historical operating status data of the medical imaging device to generate the diagnostic analysis report.
4. The cloud platform-based medical imaging device status remote monitoring system according to claim 3, wherein the monitoring cloud platform further analyzes and evaluates the operating status trend of the current medical imaging device according to the current operating status data and the historical operating status data of the current medical imaging device and the historical operating status data of the medical imaging device associated with the current medical imaging device to generate a diagnostic analysis report of the current medical imaging device.
5. The remote medical imaging device status monitoring system based on the cloud platform as claimed in any one of claims 1-2 and 4, wherein when the diagnostic analysis report includes an abnormal event of the medical imaging device, the monitoring cloud platform further generates alarm information according to the abnormal event and sends the alarm information to the monitoring client.
6. A medical imaging equipment state remote monitoring method based on a cloud platform is characterized by comprising the following steps:
acquiring the running state data of the medical imaging equipment, and sending the running state data of the medical imaging equipment to a monitoring cloud platform;
the monitoring cloud platform receives and stores the operating state data of the medical imaging equipment, analyzes the operating state data of the medical imaging equipment to generate a diagnosis and analysis report, and communicates with a monitoring client to send the operating state data of the medical imaging equipment and the diagnosis and analysis report to the monitoring client;
the monitoring client receives the running state data of the medical imaging equipment and the diagnosis analysis report so as to realize cloud monitoring on the medical imaging equipment.
7. The remote monitoring method for medical imaging equipment state based on cloud platform of claim 6, wherein the operational status data of the medical imaging equipment at least comprises one or more of medical imaging equipment subsystem operational log, user interface warning, prompt record, detector voltage and temperature, bulb tube heat capacity parameter value and daily quality control data.
8. The remote monitoring method for the status of the medical imaging device based on the cloud platform as claimed in claim 6 or 7, wherein the generating of the diagnosis analysis report includes:
and the monitoring cloud platform analyzes and evaluates the operation state trend of the medical imaging equipment according to the current operation state data and the historical operation state data of the medical imaging equipment so as to generate the diagnosis analysis report.
9. The remote medical imaging device status monitoring method based on the cloud platform as claimed in claim 8, wherein the monitoring cloud platform further analyzes and evaluates the operating status trend of the current medical imaging device according to the current operating status data and the historical operating status data of the current medical imaging device and the historical operating status data of the medical imaging device associated with the current medical imaging device, so as to generate a diagnostic analysis report of the current medical imaging device.
10. The remote medical imaging device status monitoring method based on the cloud platform according to any one of claims 6 to 7 and 9, wherein when the diagnostic analysis report includes an abnormal event of the medical imaging device, the monitoring cloud platform further generates alarm information according to the abnormal event and sends the alarm information to the monitoring client.
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| CN111371893B (en) | 2023-03-10 |
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