Equipment state monitoring system and method for magnetic resonance imaging system

Abstract

The invention discloses an equipment state monitoring system and method for a magnetic resonance imaging system. The system comprises an upper computer, an industrial personal computer, a heterogeneous data acquisition box and a plurality of monitored equipment. The heterogeneous data acquisition box uniformly acquires real-time state information of heterogeneous equipment such as bed control, physiological gate control, a radio frequency front-end box, a gradient power amplifier, a water cooling machine, a power supply distribution box and a radio frequency power amplifier through a serial port or a network port; the industrial personal computer analyzes, processes and persistently stores the information; the upper computer provides a unified equipment state information panel and is used for displaying states in a centralized mode and providing a remote control interface. According to the invention, by constructing a unified data acquisition and processing architecture, the problems of isolated information, difficulty in historical data analysis and insufficient early warning capability of magnetic resonance system equipment monitoring are solved, centralized monitoring, intelligent analysis and predictive maintenance of the equipment state are realized, and the operation and maintenance efficiency and reliability of the system are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of medical equipment monitoring technology, and in particular to a system and method for monitoring the status of equipment in a magnetic resonance imaging system. Background Technology

[0002] Magnetic resonance imaging (MRI) systems are indispensable and crucial equipment in modern medical diagnosis. Their complex structure comprises numerous sophisticated subsystems, typically including, but not limited to: bed control systems, physiological gating systems, radio frequency (RF) systems (including RF front-end boxes and RF power amplifiers), gradient systems (including gradient power amplifiers), water cooling systems, and power distribution systems. The coordinated and stable operation of these subsystems is key to ensuring the imaging quality, scanning efficiency, and patient safety of MRI equipment.

[0003] However, current mainstream magnetic resonance imaging (MRI) systems have the following significant problems and shortcomings in equipment status monitoring: Fragmented monitoring and lack of unified integration: The various subsystems of a magnetic resonance system are typically provided by different vendors, each with its own independent control unit and status indication mechanism. For example, the water chiller has its own control panel and alarm lights, while the gradient power amplifier and RF power amplifier have their own status codes and indicator lights. Maintenance personnel need to check multiple different interfaces or physical indicators to obtain the overall system's operating status. This "information silo" phenomenon leads to low maintenance efficiency and makes it difficult to quickly form a comprehensive understanding of the system's overall health.

[0004] Discontinuous data makes historical analysis difficult: Traditional monitoring methods are mostly limited to displaying the current status and lack systematic and persistent storage of historical status data. When equipment experiences intermittent failures or slow performance degradation, the lack of continuous and complete historical data records makes it difficult for maintenance personnel to trace parameter changes before and after the failure, making it impossible to conduct effective trend analysis and root cause location. Often, only passive, reactive maintenance can be performed, resulting in long downtime and high maintenance costs.

[0005] Insufficient early warning capabilities and reliance on human experience: Existing alarm mechanisms are mostly threshold-based, typically triggered only when equipment parameters severely exceed limits or hardware failures occur. They lack the ability to predict potential, developing faults (such as gradually decreasing heat dissipation efficiency or slight voltage fluctuations). Equipment status assessment and maintenance decisions heavily depend on the personal experience of maintenance personnel, leading to significant uncertainty and the risk of misjudgment, thus hindering the shift from "passive maintenance" to "predictive maintenance."

[0006] Inspection work is tedious and lacks automation: daily equipment inspections require maintenance personnel to manually record a large number of parameters, such as voltage, current, temperature, and water level of various systems. This process is not only time-consuming and labor-intensive, but also prone to errors or omissions due to human negligence. The lack of automated inspection tools and standardized inspection reports hinders the standardization and data-driven approach to operation and maintenance management.

[0007] The lack of remote control functionality makes operation inconvenient: For some functions that require debugging or starting / stopping (such as gradient axis enabling), engineers usually need to be on-site to operate the equipment. This is especially in scenarios where the equipment room and control room are separate, which is extremely inconvenient, reduces work efficiency, and prolongs equipment preparation time.

[0008] Therefore, there is an urgent need in this field for a comprehensive monitoring system that can integrate the status information of all key equipment in a magnetic resonance system, realize continuous data storage and intelligent analysis, and provide a unified monitoring interface and remote control capabilities, so as to improve the intelligence, reliability and efficiency of equipment operation and maintenance. Summary of the Invention

[0009] To address the technical problems existing in the background art, the present invention proposes a device status monitoring system and method for magnetic resonance imaging systems.

[0010] The present invention proposes an equipment status monitoring system for a magnetic resonance imaging system, comprising: a host computer, an industrial control computer, a heterogeneous data acquisition box, and multiple monitored devices with heterogeneous interfaces and communication protocols; The monitored equipment includes bed control equipment, physiological gating equipment, radio frequency front-end box equipment, gradient power amplifier equipment, water chiller equipment, power distribution box equipment, and radio frequency power amplifier equipment; The heterogeneous data acquisition box is connected to each monitored device through a serial communication interface or a network communication interface, and is used to collect the real-time status information of each monitored device and send the collected real-time status information to the industrial control computer. The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, parses and processes the real-time status information, stores the parsed and processed status data in the system database, and provides corresponding status data in response to data requests from the host computer. The host computer sends a device status data request to the industrial control computer, receives the status data returned by the industrial control computer, refreshes the device status information panel based on the received status data, and centrally displays the real-time status of all monitored devices through the device status information panel and provides a remote control interface.

[0011] Preferably, the heterogeneous data acquisition box acquires real-time status information output by the monitored device through multiple physical communication interfaces and according to a communication protocol that matches the type of the monitored device. The real-time status information includes axial position and alarm information representing the device's motion status, waveform and rate information representing physiological signals, coil information representing the identity of radio frequency components, enable, error and temperature information representing the gradient system status, water level information representing the cooling system status, voltage information representing the power supply system status, and forward and reverse power and device error information representing the radio frequency power status.

[0012] Preferably, the industrial control computer receives the real-time status information sent by the heterogeneous data acquisition box, parses and processes the real-time status information, and stores the parsed and processed status data in the system database, specifically including: The industrial control computer receives data packets containing real-time status information sent by the heterogeneous data acquisition box, and unpacks the data packets to extract the original status information. The industrial control computer parses the original status information by calling the parsing rules corresponding to the device type of the monitored device that generated the original status information. The industrial control computer converts the parsed information into status data with a unified field format, and simultaneously writes the status data into the real-time data table and historical data table of the system database; When the status data meets the preset alarm conditions, the industrial control computer also generates a corresponding alarm record in the alarm log table of the system database.

[0013] Preferably, the real-time data table stores the latest status data of all monitored devices; the historical data table stores the historical status data of all monitored devices in time series; and the alarm log table records the alarm events and processing status of the monitored devices.

[0014] Preferably, the system further includes a data analysis module, which runs on the industrial control computer.

[0015] Preferably, the data analysis module specifically includes: The trend analysis unit is used to perform statistical processing on historical status data in the historical data table according to the time dimension and generate equipment parameter change curves; The health prediction unit is used to call a pre-trained machine learning model, input historical status data into the trained machine learning model, and output device health score and potential fault warning information. The alarm association unit is used to analyze multiple alarm events that occur within a preset time window in the alarm log table and identify composite fault modes based on the physical connection and logical dependency of the devices.

[0016] Preferably, the device status information panel specifically includes: The remote control interface is used to receive user control commands for the gradient power amplifier device and send the control commands to the gradient power amplifier device via an industrial computer and a heterogeneous data acquisition box, so as to realize the remote setting of the X-axis enable state, Y-axis enable state and Z-axis enable state of the gradient power amplifier device. The configuration editing area is used to receive the water level threshold parameters of the water chiller equipment input by the user and send the water level threshold parameters to the industrial control computer for storage, so that the industrial control computer can monitor the water tank level of the water chiller equipment according to the water level threshold parameters; The status display area is used to display the status data of each monitored device in real time through graphical elements, and to distinguish the status level through color coding.

[0017] Preferably, the system further includes: The automated inspection module is used to perform full equipment status checks on a schedule according to a preset inspection task template, and generate an inspection report that includes equipment online status, parameter compliance and alarm statistics; at the same time, the automated inspection module supports one-click export and automatic sending of the inspection report.

[0018] Preferably, the heterogeneous data acquisition box and the industrial control computer establish a communication connection via the TCP / IP network protocol; the communication connection between the heterogeneous data acquisition box and the industrial control computer is configured with a communication reliability guarantee mechanism, which includes sending heartbeat messages at a preset period to maintain the connection, an automatic reconnection function that automatically re-initiates after the connection is broken, and a function to add a checksum to the transmitted data packet; the heterogeneous data acquisition box also includes: a data security preprocessing unit, used to compress the real-time status information before sending it to the industrial control computer, encrypt the compressed data, and finally encapsulate the encrypted data into transmission data.

[0019] The present invention proposes a method for monitoring the status of a magnetic resonance imaging system, comprising the following steps: The industrial control computer controls the heterogeneous data acquisition box to collect real-time status information of multiple monitored devices with heterogeneous interfaces and communication protocols. The monitored devices include bed control devices, physiological gating devices, radio frequency front-end boxes, gradient power amplifier devices, water chiller devices, power distribution boxes, and radio frequency power amplifier devices. The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, and parses and processes the real-time status information to obtain status data in a unified format. The industrial control computer stores the status data in the system database; In response to the device status data request sent by the host computer, the industrial control computer retrieves the corresponding status data from the system database and returns it to the host computer, so that the host computer can refresh the device status information panel based on the status data.

[0020] This invention presents a device status monitoring system and method for magnetic resonance imaging systems, achieving high integration and unified monitoring. By connecting all key devices to a heterogeneous data acquisition box, it integrates previously scattered and isolated status information onto a unified platform, completely breaking down the "information silo" phenomenon. Maintenance personnel can comprehensively grasp the system's operating status from a single interface, significantly improving monitoring efficiency and system transparency. A complete data value chain is constructed, enabling closed-loop management across the entire chain from data acquisition, transmission, storage to analysis. Persistent historical data provides a solid data foundation for equipment performance analysis, fault diagnosis, and trend prediction, driving the intelligent transformation of maintenance from "experience-driven" to "data-driven." It enhances the intelligence and foresight of maintenance; through built-in data trend analysis and machine learning algorithms, the system can identify early deterioration trends in equipment performance, enabling predictive maintenance and effectively avoiding unplanned downtime caused by sudden failures. Alarm correlation analysis helps quickly locate the root cause of complex faults, improving diagnostic efficiency. The system automates and standardizes inspection work, automatically executing standardized inspection tasks and generating structured reports. This frees up manpower, avoids human error, and makes daily maintenance more efficient and standardized, with all records traceable. It enhances operational convenience and remote control capabilities. Through a unified graphical interface and integrated remote control functions, engineers can remotely complete many operations previously requiring on-site intervention from the control room, significantly improving work efficiency and operational safety. It boasts excellent scalability and compatibility. The system's modular design makes adding new monitored equipment or functions simple and quick, flexibly adapting to future upgrades and expansions of the MRI system. It not only significantly improves the real-time, comprehensive, and reliable status monitoring of MRI system equipment but also reduces maintenance costs and risks through intelligent and automated management methods, ultimately ensuring the continuity and high quality of medical imaging services. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the system architecture of an equipment status monitoring system for a magnetic resonance imaging system proposed in this invention. Figure 2 This is a schematic diagram of the processing flow of one embodiment of the equipment status monitoring system for a magnetic resonance imaging system proposed in this invention. Figure 3 This is a flowchart illustrating the workflow of a device status monitoring method for a magnetic resonance imaging system proposed in this invention. Detailed Implementation

[0022] Reference Figure 1 The present invention proposes an equipment status monitoring system for a magnetic resonance imaging system, comprising: a host computer, an industrial control computer, a heterogeneous data acquisition box, and multiple monitored devices with heterogeneous interfaces and communication protocols; The monitored equipment includes bed control equipment, physiological gating equipment, radio frequency front-end box equipment, gradient power amplifier equipment, water chiller equipment, power distribution box equipment, and radio frequency power amplifier equipment.

[0023] The heterogeneous data acquisition box connects to each monitored device via a serial communication interface or a network communication interface to collect real-time status information of each monitored device and send the collected real-time status information to the industrial control computer.

[0024] In this embodiment, the heterogeneous data acquisition box collects real-time status information output by the monitored devices with multiple interfaces and communication protocols that are heterogeneous with the type of monitored device, through multiple physical communication interfaces and according to communication protocols that match the type of monitored device. The real-time status information includes axial position and alarm information representing the device's motion status, waveform and rate information representing physiological signals, coil information representing the identity of radio frequency components, enable, error and temperature information representing the gradient system status, water level information representing the cooling system status, voltage information representing the power supply system status, and forward and reverse power and device error information representing the radio frequency power status.

[0025] It should be noted that the heterogeneous data acquisition box acquires the X-axis alarm status, Z-axis alarm status, X-axis current position, and Z-axis current position of the bed control device through a serial communication interface; the heterogeneous data acquisition box acquires the respiratory gating waveform and rate, finger pulse gating waveform and rate, and ECG gating waveform and rate of the physiological gating device through a serial communication interface; the heterogeneous data acquisition box acquires the name and number of the currently inserted RF coil of the RF front-end box device through a serial communication interface; the heterogeneous data acquisition box acquires the X-axis enable status, Y-axis enable status, Z-axis enable status, system error, system warning, and DCPS temperature of the gradient power amplifier device through a network communication interface; the heterogeneous data acquisition box acquires the water level of the outer and inner water tanks of the water chiller device through a serial communication interface; the heterogeneous data acquisition box acquires the three-phase gradient voltage, three-phase input voltage, three-phase power amplifier voltage, two-phase 1 voltage, two-phase 2 voltage, and two-phase 3 voltage of the power distribution box device through a serial communication interface; and the heterogeneous data acquisition box acquires the indicator light status, forward power, reverse power, and error information of the RF power amplifier device through a network communication interface.

[0026] Furthermore, the heterogeneous data acquisition box establishes a communication connection with the industrial control computer via the TCP / IP network protocol. The communication connection between the heterogeneous data acquisition box and the industrial control computer is configured with a communication reliability guarantee mechanism. This mechanism includes sending heartbeat messages at preset intervals to maintain the connection, an automatic reconnection function that automatically re-initiates after a connection is lost, and the function of adding a checksum to the transmitted data packets. The heterogeneous data acquisition box also includes a data security preprocessing unit, used to compress the real-time status information before sending it to the industrial control computer, encrypt the compressed data, and finally encapsulate the encrypted data into transmission data.

[0027] Specifically, the heterogeneous data acquisition box, serving as the system's data acquisition hub, integrates multiple communication interfaces (such as RS-232, RS-485, Ethernet, etc.) to establish communication connections with various monitored devices (including bed controllers, physiological gating systems, RF front-end boxes, gradient power amplifiers, water chillers, power distribution boxes, and RF power amplifiers). It actively acquires detailed status information from these devices according to preset protocols and acquisition frequencies. The monitoring box possesses preliminary data processing and packaging capabilities, ensuring the integrity and timeliness of the acquired data.

[0028] The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, parses and processes the real-time status information, stores the parsed and processed status data in the system database, and provides corresponding status data in response to data requests from the host computer.

[0029] Specifically, the industrial control computer (ICC), as the core of the system's data processing and storage, receives raw data from the heterogeneous data monitoring box, and parses, cleans, and formats it. It persistently stores the processed data in a built-in relational database. The database design employs a multi-table structure, including a real-time data table for real-time display, a historical data table for retrospective analysis, an alarm log table for fault management, and a configuration file table for system configuration. Furthermore, the ICC also carries advanced data analysis functions, such as data trend analysis, machine learning-based equipment health assessment and fault prediction, and multi-device alarm correlation analysis.

[0030] In this embodiment, the industrial control computer receives real-time status information sent by the heterogeneous data acquisition box and parses and processes the real-time status information, storing the parsed status data in the system database. Specifically, this includes: the industrial control computer receiving a data packet containing real-time status information sent by the heterogeneous data acquisition box, unpacking the data packet to extract the original status information; the industrial control computer calling the parsing rule corresponding to the device type of the monitored device that generated the original status information to parse the original status information; the industrial control computer converting the parsed information into status data with a unified field format, and simultaneously writing the status data into the real-time data table and historical data table of the system database; when the status data meets the preset alarm conditions, the industrial control computer also generates a corresponding alarm record in the alarm log table of the system database.

[0031] Specifically, the real-time data table stores the latest status data of all monitored devices; the historical data table stores the historical status data of all monitored devices in time series; and the alarm log table records the alarm events and processing status of the monitored devices.

[0032] The host computer sends a device status data request to the industrial control computer, receives the status data returned by the industrial control computer, refreshes the device status information panel based on the received status data, and centrally displays the real-time status of all monitored devices through the device status information panel and provides a remote control interface.

[0033] Specifically, the host computer serves as the system's human-machine interface, providing users with a graphical device status information panel. This panel not only displays the real-time status of each device using intuitive charts, indicator lights, and color coding, but also integrates remote control functions (such as gradient axis enabling) and system configuration functions (such as water level alarm threshold setting). The host computer dynamically refreshes the interface by requesting data from the industrial control computer, while simultaneously sending user operation commands to the industrial control computer, thereby controlling the corresponding devices through the monitoring box.

[0034] In this embodiment, the device status information panel specifically includes: The remote control interface is used to receive user control commands for the gradient power amplifier device and send the control commands to the gradient power amplifier device via an industrial computer and a heterogeneous data acquisition box, so as to realize the remote setting of the X-axis enable state, Y-axis enable state and Z-axis enable state of the gradient power amplifier device. The configuration editing area is used to receive the water level threshold parameters of the water chiller equipment input by the user and send the water level threshold parameters to the industrial control computer for storage, so that the industrial control computer can monitor the water tank level of the water chiller equipment according to the water level threshold parameters; The status display area is used to display the status data of each monitored device in real time through graphical elements, and to distinguish the status level through color coding.

[0035] In this embodiment, the system also includes a data analysis module, which runs on an industrial control computer.

[0036] Specifically, the data analysis module includes: The trend analysis unit is used to perform statistical processing on historical status data in the historical data table according to the time dimension and generate equipment parameter change curves; The health prediction unit is used to call a pre-trained machine learning model, input historical status data into the trained machine learning model, and output device health score and potential fault warning information. The alarm association unit is used to analyze multiple alarm events that occur within a preset time window in the alarm log table and identify composite fault modes based on the physical connection and logical dependency of the devices.

[0037] In this embodiment, the system further includes: The automated inspection module is used to perform full equipment status checks on a regular basis according to preset inspection task templates, and generate inspection reports that include equipment online status, parameter compliance and alarm statistics; at the same time, the automated inspection module supports one-click export and automatic sending of inspection reports.

[0038] Example 1: In this embodiment, the heterogeneous data acquisition box adopts an industrial-grade embedded design, with built-in multiple serial port cards and dual network ports, and is installed in the MRI equipment cabinet. Serial port 1 connects to the bed control equipment, serial port 2 connects to the physiological gating equipment, serial port 3 connects to the RF front-end box equipment, serial port 4 connects to the water chiller equipment, and serial port 5 connects to the power distribution box equipment. Network port 1 connects to the gradient power amplifier equipment, and network port 2 connects to the RF power amplifier equipment. The industrial control computer is a standard industrial computer, deployed in the control console between the equipment rooms, and connected to the monitoring box via the computer room LAN. The host computer is a desktop computer in the doctor's operating room. The industrial control computer runs the back-end service program of this system, using a MySQL database. The host computer runs a visual client (equipment status information panel) developed based on C++ / Qt.

[0039] In this embodiment, the actual workflow of the system includes: (1) System startup and initialization The industrial control computer and the host computer start the monitoring system software, and the heterogeneous data acquisition box is powered on. The industrial control computer loads predefined device communication configuration files from the system database. This configuration file defines the detailed communication parameters of each monitored device (such as bed control, gradient power amplifier, etc.), including device address, communication port (serial port number or network IP address and port number), baud rate, data bits, stop bits, and data acquisition protocols and parsing rules for different devices. The industrial control computer sends this configuration information to the heterogeneous data acquisition box. The acquisition box initializes each communication interface according to the configuration and establishes physical connection links with all monitored devices.

[0040] (2) Data acquisition and real-time monitoring like Figure 2 As shown, after configuration, the heterogeneous data acquisition box actively polls each device according to the set acquisition strategy. For example, it queries the network status of the gradient power amplifier and RF power amplifier every 500 milliseconds via the network port, and queries other devices every second via the serial port. The heterogeneous data acquisition box receives the raw response data and performs preliminary preprocessing: parsing the data frame according to the protocol, performing CRC check to ensure data integrity, extracting valid status fields (such as converting hexadecimal codes to physical values), and adding a high-precision timestamp to each set of data to form a structured status information unit.

[0041] Subsequently, the heterogeneous data acquisition box compresses and encrypts the data, then sends it to the industrial control computer via a TCP / IP connection with disconnection reconnection and verification mechanisms. After decompression, the industrial control computer performs in-depth analysis and business logic processing, such as converting the raw voltage value into a value in "volts," and synchronously writing the processed status data into the system database: the latest data is updated to the real-time data table, and complete records are appended to the historical data table.

[0042] Meanwhile, the host computer's device status information panel (usually updating every second) retrieves data from the industrial control computer and dynamically refreshes the interface. Operators can view the bed's movement position, physiological gating waveforms, RF coil models, and power supply voltage values ​​in real time on the panel. When the system determines that data triggers an alarm rule (e.g., the water level in the water chiller's inner tank is below the preset 30% lower limit), the industrial control computer immediately generates an "Important" alarm record in the alarm log and actively pushes it to the host computer. On the host computer interface, the water chiller status icon turns yellow and flashes, while an alarm message appears, providing proactive early warning.

[0043] (3) Historical data query and intelligent analysis The historical data accumulated by the system provides a foundation for in-depth analysis. For example, an engineer might notice a slow upward trend in the DCPS temperature of a gradient power amplifier over the past week. He can use the "Historical Data" function on the host computer interface to query the curve of this parameter over the past month and then invoke the "Trend Analysis" function. The system can analyze this data in conjunction with relevant data such as ambient temperature and water chiller flow rate, indicating that "the heat dissipation efficiency of the gradient power amplifier may have slightly decreased" and suggesting that dust cleaning and maintenance be scheduled. This demonstrates the system's predictive maintenance capabilities.

[0044] In addition, the data analysis module running in the system's background can perform more complex tasks: Health assessment and prediction: Invoke a pre-trained machine learning model (such as an LSTM time series model), input the recent operating parameter sequence of the device, and output the device health score and potential fault warning.

[0045] Alarm correlation analysis: When multiple alarms occur in succession within a short period of time (such as "sudden drop in forward power of RF power amplifier" and "excessive water temperature at the outlet of water chiller"), the system analyzes the inherent physical connections and logical dependencies of the equipment, indicating the possibility of compound faults and assisting in quickly locating the root cause.

[0046] (4) Automated inspection The system supports automatic execution of inspection tasks according to a preset schedule (e.g., 7:00 AM daily). The inspection task simulates a manual process, sequentially checking the communication status of all devices, whether key parameters are within normal ranges, and whether there are any unhandled alarms. Upon completion of the inspection, the system automatically generates a structured inspection report. The report may include the inspection time, overall conclusions, a detailed status list of each device, and statistics on anomalies. The report can be automatically exported as a PDF document and sent to the designated maintenance personnel via email. For example, a report might show all devices are online and the power supply voltage is stable, but with a note indicating that "the RF power amplifier's forward power value is in a historically high range," for engineers' reference and decision-making.

[0047] (5) Remote control The system offers convenient remote control capabilities, reducing on-site operations. For example, before performing an MRI scan, a technician needs to enable the Y-axis of the gradient amplifier. Without going to the equipment room, they can simply locate the gradient amplifier control area on the host computer's device status panel and click the "Enable" button corresponding to the Y-axis. This control command is sent from the host computer to the industrial control computer. After verifying the command's validity, the industrial control computer converts it into a command recognizable by the device and sends it to the target gradient amplifier via a heterogeneous data acquisition box. After the gradient amplifier executes the command, the status feedback returns via the original path, and the Y-axis status indicator on the panel changes from gray to green, completing a full remote control loop.

[0048] (6) Dynamic configuration and system maintenance The system boasts excellent flexibility and maintainability. Maintenance personnel can dynamically modify configuration files directly on the host computer interface as needed, such as adjusting the water-cooled chiller alarm threshold or changing the data acquisition frequency. The modifications are synchronized in real-time to the industrial control computer and heterogeneous data acquisition box, taking effect without requiring a system restart. The system then enters a stable operating state, cyclically executing the aforementioned data acquisition, processing, analysis, inspection, and control processes, achieving uninterrupted intelligent monitoring of the magnetic resonance system 24 / 7.

[0049] It is worth noting that by deploying this system, the operation and maintenance management model of MRI equipment has been significantly improved: previously scattered and isolated status information has been unified, integrated, and intelligently managed, completing the transformation from "passive maintenance" to "proactive early warning." This greatly reduces unplanned scan interruptions caused by sudden equipment failures, improving equipment utilization and patient satisfaction. At the same time, automated inspection and remote control functions significantly reduce the workload of maintenance personnel, improve the scientific nature, standardization, and overall efficiency of maintenance work, and lay a solid technical foundation for achieving predictive maintenance throughout the equipment's lifecycle.

[0050] Reference Figure 3 The present invention proposes a method for monitoring the status of a magnetic resonance imaging system, comprising the following steps: The industrial control computer controls the heterogeneous data acquisition box to collect real-time status information of multiple monitored devices with heterogeneous interfaces and communication protocols. The monitored devices include bed control devices, physiological gating devices, radio frequency front-end box devices, gradient power amplifier devices, water chiller devices, power distribution box devices, and radio frequency power amplifier devices. The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, and parses and processes the real-time status information to obtain status data in a unified format. The industrial control computer stores the status data in the system database; In response to the device status data request sent by the host computer, the industrial control computer retrieves the corresponding status data from the system database and returns it to the host computer, so that the host computer can refresh the device status information panel based on the status data.

[0051] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A device status monitoring system for a magnetic resonance imaging system, characterized in that, include: The monitoring equipment includes a host computer, an industrial control computer, a heterogeneous data acquisition box, and multiple interfaces and communication protocols that are heterogeneous. The monitored equipment includes bed control equipment, physiological gating equipment, radio frequency front-end box equipment, gradient power amplifier equipment, water chiller equipment, power distribution box equipment, and radio frequency power amplifier equipment; The heterogeneous data acquisition box is connected to each monitored device through a serial communication interface or a network communication interface, and is used to collect the real-time status information of each monitored device and send the collected real-time status information to the industrial control computer. The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, parses and processes the real-time status information, stores the parsed and processed status data in the system database, and provides corresponding status data in response to data requests from the host computer. The host computer sends a device status data request to the industrial control computer, receives the status data returned by the industrial control computer, refreshes the device status information panel based on the received status data, and centrally displays the real-time status of all monitored devices through the device status information panel and provides a remote control interface.

2. The equipment status monitoring system for a magnetic resonance imaging system according to claim 1, characterized in that, The heterogeneous data acquisition box acquires real-time status information from the monitored devices through multiple physical communication interfaces, based on communication protocols that match the type of the monitored devices. The real-time status information includes axial position and alarm information representing the device's motion status, waveform and rate information representing physiological signals, coil information representing the identity of radio frequency components, enable, error and temperature information representing the gradient system status, water level information representing the cooling system status, voltage information representing the power supply system status, and forward and reverse power and device error information representing the radio frequency power status.

3. The equipment status monitoring system for a magnetic resonance imaging system according to claim 1, characterized in that, The industrial control computer receives the real-time status information sent by the heterogeneous data acquisition box, parses and processes the real-time status information, and stores the parsed and processed status data in the system database, specifically including: The industrial control computer receives data packets containing real-time status information sent by the heterogeneous data acquisition box, and unpacks the data packets to extract the original status information. The industrial control computer parses the original status information by calling the parsing rules corresponding to the device type of the monitored device that generated the original status information. The industrial control computer converts the parsed information into status data with a unified field format, and simultaneously writes the status data into the real-time data table and historical data table of the system database; When the status data meets the preset alarm conditions, the industrial control computer also generates a corresponding alarm record in the alarm log table of the system database.

4. The equipment status monitoring system for a magnetic resonance imaging system according to claim 3, characterized in that, The real-time data table stores the latest status data of all monitored devices; the historical data table stores the historical status data of all monitored devices in time series; and the alarm log table records the alarm events and processing status of the monitored devices.

5. The equipment status monitoring system for a magnetic resonance imaging system according to claim 3 or 4, characterized in that, The system also includes a data analysis module, which runs on the industrial control computer.

6. The equipment status monitoring system for a magnetic resonance imaging system according to claim 5, characterized in that, The data analysis module specifically includes: The trend analysis unit is used to perform statistical processing on historical status data in the historical data table according to the time dimension and generate equipment parameter change curves; The health prediction unit is used to call a pre-trained machine learning model, input historical status data into the trained machine learning model, and output device health score and potential fault warning information. The alarm association unit is used to analyze multiple alarm events that occur within a preset time window in the alarm log table and identify composite fault modes based on the physical connection and logical dependency of the devices.

7. The equipment status monitoring system for a magnetic resonance imaging system according to claim 1, characterized in that, The device status information panel specifically includes: The remote control interface is used to receive user control commands for the gradient power amplifier device and send the control commands to the gradient power amplifier device via an industrial computer and a heterogeneous data acquisition box, so as to realize the remote setting of the X-axis enable state, Y-axis enable state and Z-axis enable state of the gradient power amplifier device. The configuration editing area is used to receive the water level threshold parameters of the water chiller equipment input by the user and send the water level threshold parameters to the industrial control computer for storage, so that the industrial control computer can monitor the water tank level of the water chiller equipment according to the water level threshold parameters; The status display area is used to display the status data of each monitored device in real time through graphical elements, and to distinguish the status level through color coding.

8. The equipment status monitoring system for a magnetic resonance imaging system according to claim 1, characterized in that, The system also includes: The automated inspection module is used to perform full equipment status checks on a schedule according to a preset inspection task template, and generate an inspection report that includes equipment online status, parameter compliance and alarm statistics; at the same time, the automated inspection module supports one-click export and automatic sending of the inspection report.

9. The equipment status monitoring system for a magnetic resonance imaging system according to claim 1, characterized in that, The heterogeneous data acquisition box and the industrial control computer establish a communication connection via TCP / IP network protocol; the communication connection between the heterogeneous data acquisition box and the industrial control computer is configured with a communication reliability guarantee mechanism, which includes sending heartbeat messages at a preset period to maintain the connection, an automatic reconnection function that automatically re-initiates after the connection is broken, and a function to add a check code to the transmitted data packet; The heterogeneous data acquisition box also includes a data security preprocessing unit, which is used to compress the real-time status information before sending it to the industrial control computer, encrypt the compressed data, and finally encapsulate the encrypted data into transmission data.

10. A method for monitoring the status of a magnetic resonance imaging system, characterized in that, Includes the following steps: The industrial control computer controls the heterogeneous data acquisition box to collect real-time status information of multiple monitored devices with heterogeneous interfaces and communication protocols. The monitored devices include bed control devices, physiological gating devices, radio frequency front-end boxes, gradient power amplifier devices, water chiller devices, power distribution boxes, and radio frequency power amplifier devices. The industrial control computer receives real-time status information sent by the heterogeneous data acquisition box, and parses and processes the real-time status information to obtain status data in a unified format. The industrial control computer stores the status data in the system database; In response to the device status data request sent by the host computer, the industrial control computer retrieves the corresponding status data from the system database and returns it to the host computer, so that the host computer can refresh the device status information panel based on the status data.

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