CN113051129A - Monitoring device, evaluation method and evaluation device of dual-energy accelerator - Google Patents
Monitoring device, evaluation method and evaluation device of dual-energy accelerator Download PDFInfo
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Abstract
The embodiment of the disclosure provides monitoring equipment, an evaluation method and evaluation equipment of a dual-energy accelerator. The monitoring device includes: the signal acquisition device is used for acquiring pulse signals at preset nodes of the accelerator to generate pulse data; the first memory is connected with the signal acquisition device and used for caching pulse data generated by the signal acquisition device; the first processor is connected with the first memory and used for reading the buffered pulse data from the first memory; a second memory; and a second processor connected to the first processor and the second memory, for receiving the read pulse data from the first processor, packetizing and compressing the received pulse data to generate a pulse data file, and storing the generated pulse data file in the second memory.
Description
Technical Field
The disclosure relates to the technical field of accelerators, in particular to monitoring equipment, an evaluation method and evaluation equipment of a dual-energy accelerator.
Background
In recent years, accelerators have been widely used in the field of security inspection. The accelerator adopts a pulse working mode, and all parts work coordinately in a pulse transmission mode. These pulses can reflect the operating conditions of the accelerator. Therefore, observing the pulse waveform of the accelerator is an important work in the processes of production, debugging, operation and maintenance of the accelerator.
In the conventional technology, an oscilloscope is generally used to manually observe the signal waveform at an internal node of the accelerator, so as to judge the working condition of the accelerator by human experience. However, this approach is severely limited by the skill level of the observer, on the one hand it is difficult to detect random or rapid waveform changes, such as random occurrences, transient occurrences, single or small pulse occurrences, and on the other hand for accelerator anomalies, it is easy to make judgments about the errors, and it is not possible to accurately record the observed anomalies.
Disclosure of Invention
According to an aspect of the present disclosure, there is provided a monitoring apparatus of a dual energy accelerator, including:
the signal acquisition device is used for acquiring pulse signals at preset nodes of the accelerator to generate pulse data;
the first memory is connected with the signal acquisition device and used for caching pulse data generated by the signal acquisition device;
the first processor is connected with the first memory and used for reading the buffered pulse data from the first memory;
a second memory; and
and the second processor is connected with the first processor and the second memory and used for receiving the read pulse data from the first processor, packaging and compressing the received pulse data to generate a pulse data file, and storing the generated pulse data file in the second memory.
In some embodiments, the monitoring device further comprises a first communication interface for communicating with an external evaluation device, the second processor further for providing the pulse data file in the second memory to the external evaluation device via the first communication interface.
In some embodiments, the monitoring device further comprises a second communication interface for communicating with the control device of the accelerator, and the second processor is further configured to receive operating data of the accelerator from the control device of the accelerator via the second communication interface, generate an operating data file based on the operating data, and store the operating data file in the second memory.
In some embodiments, the second processor is further configured to provide at least one of the number of pulse files and the operating data file in the second memory to the control of the accelerator for presentation via the second communication interface.
In some embodiments, the signal acquisition device comprises a plurality of analog-to-digital converters, each analog-to-digital converter being configured to perform analog-to-digital conversion on the pulse signal at a corresponding preset node of the accelerator to generate pulse data for the preset node.
In some embodiments, the preset node comprises at least one of: the input end of the magnetron of the accelerator, the output end of the magnetron, the input end of the electron gun of the accelerator, the output end of the accelerating tube of the accelerator and the ionization chamber of the accelerator.
In some embodiments, the first communication interface and the second communication interface are both transmission control protocol, TCP, interfaces.
According to another aspect of the present disclosure, there is provided an evaluation method of a dual energy accelerator, including:
acquiring a pulse data file from the monitoring equipment;
decompressing and unpacking the burst data file to generate burst data; and
evaluating an operating condition of the accelerator based on the pulse data.
In some embodiments, the pulse data includes pulse data for a plurality of preset nodes and operation data of an accelerator, and the evaluation method further includes: after decompression and unpacking, aligning the time stamps of the pulse data and the operation data aiming at the preset nodes, and synthesizing the pulse data and the operation data after aligning the time stamps into a data packet for the evaluation.
In some embodiments, the evaluating comprises at least one of:
acquiring parameter information of an accelerator from a data packet and digitizing the parameter information;
acquiring parameter information of an accelerator in a period of time from a data packet, and determining historical evolution of parameters of the accelerator based on the parameter information in the period of time;
acquiring parameter information of an accelerator in a period of time from a data packet, determining historical evolution of parameters of the accelerator based on the parameter information in the period of time, determining an abnormality of the accelerator based on the historical evolution of the parameters and recording the abnormality; and
obtaining parameter information of the accelerator over a period of time from the data packet, determining a historical evolution of parameters of the accelerator based on the parameter information over the period of time, and generating a maintenance recommendation based on the historical evolution of the parameters.
For example, the pulse data includes pulse data for a plurality of preset nodes; and the obtaining parameter information of the accelerator over a period of time from the data packet, determining a historical evolution of a parameter of the accelerator based on the parameter information over the period of time, determining an anomaly of the accelerator based on the historical evolution of the parameter and recording the anomaly comprises: for each of the plurality of preset nodes,
acquiring pulse data aiming at the preset node in the period of time from a data packet;
obtaining the variation of the parameter of the pulse signal at the preset node in the period of time from the pulse data in the period of time;
comparing the variable quantity with a preset threshold value;
responding to the fact that the variation exceeds the preset threshold value, and judging that the pulse signal at the preset node is abnormal; and
and recording waveform data of a pulse signal at the preset node, wherein the waveform data is preset from the time of the abnormality.
In some embodiments, the evaluation method further comprises: the resultant data packet is uploaded to a remote server for multi-platform access.
According to still another aspect of the embodiments of the present disclosure, there is provided an evaluation apparatus of a dual-energy accelerator, including a memory and a processor, the memory having stored therein instructions, which when executed by the processor, cause the processor to perform the above evaluation method.
Drawings
Fig. 1 shows a schematic block diagram of an accelerator.
FIG. 2 shows a schematic block diagram of a monitoring device of an accelerator according to an embodiment of the present disclosure.
FIG. 3 shows a schematic block diagram of a monitoring device of an accelerator according to another embodiment of the present disclosure.
FIG. 4 shows a flow diagram of an evaluation method of an accelerator according to an embodiment of the present disclosure.
FIG. 5 shows a flow diagram of an evaluation method of an accelerator according to another embodiment of the disclosure.
FIG. 6 shows a schematic block diagram of an evaluation device of an accelerator according to an embodiment of the present disclosure.
Detailed Description
While the present disclosure will be fully described with reference to the accompanying drawings, which contain preferred embodiments of the disclosure, it should be understood before this description that one of ordinary skill in the art can modify the disclosure described herein while obtaining the technical effects of the present disclosure. Therefore, it should be understood that the foregoing description is a broad disclosure directed to persons of ordinary skill in the art, and that there is no intent to limit the exemplary embodiments described in this disclosure.
Furthermore, in the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In other instances, well-known structures and devices are shown in schematic form in order to simplify the drawing.
Fig. 1 shows a schematic block diagram of an accelerator. As shown in fig. 1, the accelerator includes a modulator 10, an X-ray generating device 20, a control device 30, and a cooling device 40.
The modulator 10 may be a high voltage pulse modulator for generating a high voltage pulse signal for use by the X-ray generating device 20 for causing the X-ray generating device 20 to generate X-rays.
The X-ray generation apparatus 20 may include a magnetron 21, an electron gun 22, a waveguide 23, and an acceleration tube 24. The modulator 10 generates a first pulse signal for supplying power to the magnetron 21 and a second pulse signal for supplying power to the electron gun 22. The pulse signal generated by the magnetron 21 is transmitted to the acceleration tube 24 through the waveguide 23, and the electron beam generated by the electron gun 22 is supplied to the acceleration tube 24, so that the acceleration tube 24 generates X-rays.
The cooling device 40 is used to dissipate heat from the accelerator. In some embodiments, the cooling device may be a water chiller.
The control device 50 is used to control the overall operation of the accelerator, for example, the modulator 10, the X-ray generation device 20, and the cooling device 40. The control device 50 may include a controller, a memory, and an interface. The memory may store operation data of the accelerator, such as a work log, etc., and the memory may also store a control program of the accelerator, which is executed by the controller to implement the functions of the accelerator. The interface is used to communicate with external devices, examples of which include, but are not limited to, a TCP interface. In some embodiments, the control device 50 may also include means for interaction, such as a keyboard, display, touch screen, and the like.
In some embodiments, X-rays generated by the accelerating tube 24 may be provided to the ionization chamber 50, and the X-rays when acting on an inert gas (e.g., helium) within the ionization chamber 50 generate an electrical current that is indicative of a performance parameter of the X-rays, such as a single pulse dose.
The accelerator may be a dual energy accelerator in which the modulator 10 alternately generates two pulsed signals of different frequencies so that the X-ray generation device 20 may alternately generate X-rays of two different energy levels, for example 6MeV and 3 MeV.
Fig. 2 shows a schematic block diagram of a monitoring device 100 of an accelerator according to an embodiment of the present disclosure. The monitoring device 100 may be applied to any accelerator, such as, but not limited to, the dual energy accelerator described above with reference to fig. 1. As shown in fig. 2, the monitoring device 100 includes a signal acquisition apparatus 110, a first memory 120, a first processor 130, a second memory 140, and a second processor 150.
The signal acquisition device 110 may acquire a pulse signal at a preset node of the accelerator to generate pulse data. The preset nodes of the accelerator can be set as desired. Taking the accelerator of fig. 1 as an example, the preset node may include at least one of: an input terminal P1 of the magnetron 21, an output terminal P2 of the magnetron 21, an input terminal P3 of the electron gun 22, an output terminal P4 of the accelerating tube 24, and the ionization chamber 50. This will be described in further detail below.
The first memory 120 is connected to the signal acquisition device 110. The first memory 120 may buffer the pulse data generated by the signal acquisition device 110.
The first processor 130 is connected to the first memory 120. The first processor 130 may read the buffered burst data from the first memory 120. The first processor 130 may also be connected to the signal acquisition device 110 to control the acquisition and storage of the pulse signal.
The second processor 150 is coupled to the first processor 130 and the second memory 140. The second processor 150 may receive the read burst data from the first processor 130, pack and compress the received burst data to generate a burst data file, and store the generated burst data file in the second memory 140.
Fig. 3 shows a schematic block diagram of a monitoring device 200 of an accelerator according to another embodiment of the present disclosure. The monitoring device 200 of fig. 3 may be applied to any accelerator, such as, but not limited to, the dual-energy accelerator described above with reference to fig. 1.
As shown in fig. 3, the monitoring device 200 includes an acquisition apparatus 210, a first memory 220, a first processor 230, a second memory 240, and a second processor 250. The acquisition means 210, the first memory 220, the first processor 230, the second memory 240 and the second processor 250 may be implemented by the acquisition means 110, the first memory 120, the first processor 130, the second memory 140 and the second processor 150, respectively, as described above with respect to the monitoring device 100, which is equally applicable to the monitoring device 200 of fig. 3.
In the example of fig. 3, the acquisition device 210 includes a plurality of analog-to-digital converters, such as analog-to-digital converters AD1, AD2, AD3, AD4, AD5, and AD6, each for analog-to-digital converting a pulse signal at a corresponding preset node of the accelerator to generate pulse data for the preset node. Taking the accelerator of fig. 1 as an example, the analog-to-digital converter AD1 may be connected to the input terminal P1 of the magnetron 21, the analog-to-digital converter AD2 may be connected to the output terminal P2 of the magnetron 21, the analog-to-digital converter AD3 may be connected to the input terminal P3 of the electron gun 22, the analog-to-digital converter AD4 may be connected to the output terminal P4 of the acceleration tube 24, the analog-to-digital converter AD5 may be connected to the ionization chamber 50, and the analog-to-digital converter AD6 may be used as a reserved channel. The input conditions of the magnetron 21 and the electron gun 22 can be known by monitoring the pulse signals at the nodes P1 and P3, for example, to determine whether the magnetron 21 and the electron gun 22 are normally powered. The incident wave condition of the acceleration tube 24, such as whether the acceleration tube 24 is normal or not, can be known by monitoring the pulse signal at the node P2. The condition of the reflected wave of the acceleration tube 24 can be known by monitoring the pulse signal at the node P4, and a stronger reflected wave indicates that more of the X-rays are not effectively used, and the output performance of the acceleration tube 24 is poor, otherwise the output performance of the acceleration tube 24 is high. By monitoring the current signal generated within ionization chamber 50, a performance parameter of the generated X-rays, such as single pulse dose, can be known. In some embodiments, the current signal generated by the ionization chamber 50 may be amplified and then provided to an analog-to-digital converter to improve the detection accuracy.
Although the 6 analog-to-digital converters AD1 to AD6 are exemplified above, embodiments of the present disclosure are not limited thereto, and the number of analog-to-digital converters and the nodes connected thereto may be set as needed. For example, in some embodiments the acquisition device 210 may include analog-to-digital converters AD1 and AD3 to monitor the power conditions of the accelerator in a simple manner. In some embodiments, the acquisition device 210 may include analog-to-digital converters AD2 and AD4 to monitor the input and output conditions of the accelerator tube 24 of the accelerator in a simple manner. In some embodiments, the number of analog-to-digital converters may be increased or decreased depending on the desired sampling frequency. For example, in case pulse signals need to be acquired at a higher frequency (e.g. once every 10 ms), fewer analog-to-digital converters may be provided, e.g. three, whereas in case pulse signals need to be acquired at a lower frequency (e.g. once every 100 ms), more analog-to-digital converters may be provided, e.g. 6.
Examples of the first processor 230 include, but are not limited to, a Field Programmable Gate Array (FPGA) circuit, which can implement high-speed processing of data. For example, the first processor 230 may control the first memory 220 and the respective analog-to-digital converters AD1 to AD6 to implement sampling and storing of the pulse signals. The first processor 230 may also read pulse data from the respective analog-to-digital converters AD1 to AD6 from the first memory 220 and provide the pulse data to the second processor.
The first memory 220 may be a random access memory RAM, which may cache data collected by the respective analog-to-digital converters AD1 to AD6 under the control of the first processor 230. Of course, the example of the first memory 220 is not limited thereto, and it may be implemented as other types of internal memory or external memory as needed, such as but not limited to a first-in-first-out FIFO memory, a cache memory, and the like.
Examples of the second processor 250 include, but are not limited to, processors based on ARM architecture, which can pack the burst data provided by the first processor 230, for example, pack the burst data from each of the analog-to-digital converters AD1 to AD6 into one packet, and store the plurality of packets as a burst data file in the second memory 240 after compression.
The second memory 240 may be a read only memory (RAM), which may store various data files under the control of the second processor 250. Of course, the example of the second memory 240 is not limited thereto, and it may be implemented as other types of internal memory or external memory as needed, such as but not limited to a first-in-first-out FIFO memory, a cache memory, and the like.
In some embodiments, the monitoring device 200 may further include a communication interface 260, and the second processor 250 may communicate with an external device through the communication interface 260, thereby implementing further analysis and processing functions. For example, as shown in fig. 3, communication interface 260 may include at least one of a first communication interface 2601 and a second communication interface 2602. The first communication interface 2601 is used for communicating with an external evaluation device. The second communication interface 2602 is used for communication with the control device 40 such as the accelerator described above.
In some embodiments, first communication interface 2601 may be a Transmission Control Protocol (TCP) interface, such that communication with an external evaluation device may be achieved through a network connection. In some embodiments, the second communication interface 2602 may also be a TCP interface, which may enable communication with the control apparatus 40 of the accelerator using, for example, the TCP interface already present on the accelerator described above, thereby improving the compatibility of the monitoring device. Of course, the embodiments of the present disclosure are not limited thereto, and the number and types of the communication interfaces may be set as needed.
The second processor 250 may receive the operation data of the accelerator from the control device 40 of the accelerator via the second communication interface 2602, generate an operation data file based on the operation data, and store in the second memory 240. The accelerator's operational data includes, but is not limited to, a work log. For example, the accelerator synchronously sets parameters at power-on to generate a configuration parameter table. The actions of the accelerator during operation cause the parameters to change relative to the configuration parameter table, thereby forming a work log. The second processor 250 may form the work logs for a period of time into operation data and pack the operation data into operation data files, respectively, to be stored in the second memory 240. In some embodiments, the second processor 250 may also provide at least one of the number of pulse files and the operation data file in the second memory 240 to the control apparatus 40 of the accelerator via the second communication interface 2602 for presentation on an interactive component of the control apparatus 40, such as a display of the control apparatus 40 to display a pulse signal waveform at each node of the accelerator, a work log of the accelerator, and the like, or an interactive component on the control apparatus 40 such as an audio player to prompt an operating state of each node of the accelerator, a historical operation of the accelerator, and the like.
The second processor 250 may provide the data files stored in the second memory 240 to an external evaluation device via the first communication interface 2601. The data file includes at least one of the pulse data file and the operation data file. For example, the second processor 250 may provide data files, including pulse data files and operational data files, to the external evaluation device in response to a request by the external evaluation device. The external evaluation device may analyze the pulse signals at the respective nodes of the accelerator and the work log based on the data file, thereby comprehensively evaluating the operating condition of the accelerator. The second processor 250 may provide the data file to the external evaluation device in a variety of ways. For example, a worker may connect the evaluation device to the monitoring device 200 when needed, and then the second processor 250 of the monitoring device 200 may read the data file in the second memory 240 and provide it to the evaluation device. The monitoring device 200 may also verify the identity of the evaluation device before providing the data file to improve the security of the data transmission. In other embodiments, the evaluation device may also automatically retrieve the data file from the monitoring device 200, for example by periodically requesting the second processor 250 to grant access to the second memory 240 and read the data file therefrom.
In some embodiments, the acquisition device 210, the first memory 220, the first processor 230, the second memory 240, the second processor 250, and the communication interface 260 may be integrated together. In some embodiments, multiple monitoring devices may also be applied to one accelerator, enabling monitoring of any number of nodes.
FIG. 4 shows a flow diagram of an evaluation method of an accelerator according to an embodiment of the present disclosure. The evaluation method may evaluate the operating condition of the accelerator based on data provided by the monitoring device of any of the embodiments described above.
In step S101, a data file is acquired from a monitoring device. The pulse data file may be obtained, for example, from the monitoring device 100 described above.
In step S102, the pulse data file is decompressed
In step S103, the compressed pulse data file is unpacked, thereby generating pulse data.
In step S104, the operating condition of the accelerator is evaluated based on the pulse data. As described above, with the above accelerator, it is possible to evaluate the input conditions of the magnetron 21 and the electron gun 22 based on the pulse data for the nodes P1 and P3, evaluate the incident wave and reflected wave conditions of the acceleration tube 24 based on the pulse data at the nodes P2 and P4, evaluate the performance parameters of the X-rays based on the current signal generated inside the ionization chamber 50, and the like. In some embodiments, the input conditions, incident wave conditions, reflected wave conditions, and X-ray performance parameters may also be combined to generate a composite evaluation.
In some embodiments, the results of the evaluation may also be presented. Presentation means include, but are not limited to, video presentation, audio presentation, and the like. For example, the signal waveform of each node, the digital chart of the parameter of the pulse signal, the parameter variation graph of the pulse signal can be displayed through a display, and the main parameter of the pulse signal at each node, the historical operation, the error type and the like can be prompted through voice.
FIG. 5 shows a flow diagram of an evaluation method of an accelerator according to another embodiment of the disclosure.
In step S201, a data file is acquired. In the present embodiment, the data files include pulse data files for the respective nodes of the above-described accelerator (nodes P1 to P4 and ionization chamber 50) and operation data files of the accelerator.
In step S202, the data file is decompressed.
In step S203, the compressed data file is unpacked to obtain pulse data for each node and operation data of the accelerator.
In step S204, the time stamps of the respective data are aligned so that the pulse data and the operation data of the respective nodes are temporally aligned with each other.
In step S205, the respective pieces of pulse data whose time stamps are aligned are synthesized into a packet. In some embodiments, for non-specific packets, e.g., data that varies within a preset threshold, the specific packets may be deleted or omitted by pointer designation, and saved for subsequent evaluation. In this way, the amount of data storage and the workload of data analysis can be reduced.
At step S206, the synthesized packet is uploaded to the remote server. For example, to a remote server over the internet. The remote server can support multi-platform data access, for example, manufacturers, users, maintainers and managers of the accelerator can obtain consistent accelerator data from the remote server by different platforms and different terminals, which is beneficial to improving the efficiency and quality of maintenance and management of the accelerator.
In step S207, the operating condition of the accelerator is evaluated based on the synthesized packet. A variety of evaluation approaches may be employed, as will be exemplified below.
In some embodiments, parameter information of the accelerator can be obtained from the data packet and digitized, for example, parameters of pulse signals at each node, such as frequency, amplitude, duty ratio and the like, can be analyzed based on each pulse data, the working time, fault time and the like of the accelerator can be determined based on the operation data, and the parameter information can be presented in a digital form, so that a user can know each parameter of the accelerator more intuitively.
In some embodiments, parameter information of the accelerator over a period of time may be obtained from the data packets, based on which historical evolution of the accelerator's parameters is determined. For example, the evolution of the peak value of the pulse signal at each node, the evolution of the frequency, etc., may be analyzed based on pulse data collected over a period of time, the evolution of the operating duration of the accelerator, the evolution of the interruption time, the evolution of the fault time point, etc., may be analyzed based on operating data of the accelerator, and the evolution of these parameters may be presented to the user in the form of a graph or graph, etc.
In some embodiments, parameter information of the accelerator over a period of time may be obtained from the data packets, a historical evolution of a parameter of the accelerator is determined based on the parameter information over the period of time, an anomaly of the accelerator is determined based on the historical evolution of the parameter and the anomaly is recorded. For example, the amount of change of the above-described parameter in a predetermined time may be compared with a preset threshold value, and whether an abnormality occurs may be determined based on the comparison result. For example, for each of the plurality of preset nodes, pulse data for the preset node in the period of time may be acquired from a data packet, a variation of a parameter of a pulse signal at the preset node in the period of time may be acquired from the pulse data in the period of time, the variation may be compared with a preset threshold, in response to the variation exceeding the preset threshold, it may be determined that an abnormality occurs in the pulse signal at the preset node, and waveform data of the pulse signal at the preset node for a predetermined duration from a time when the abnormality occurs may be recorded. For example, the change amount of the amplitude of the pulse signal at a certain node in a predetermined time may be compared with a preset threshold, and when the change amount of the amplitude exceeds the threshold, it is considered that an abnormality has occurred in the pulse signal at the node. The physical node and the time point at which the abnormality occurs may be recorded, and in some embodiments, the signal waveform lasting for a preset time period from the time point at which the abnormality occurs may also be recorded for analysis by a worker. In some embodiments, the difference between the maximum value and the minimum value of the parameter of the pulse signal in the predetermined time may be used as the variation of the parameter of the pulse signal in the predetermined time, and the average value of the variations of the parameter of the pulse signal in a plurality of periods in the predetermined time may also be used as the variation of the parameter of the pulse signal in the predetermined time.
In some embodiments, parameter information of the accelerator over a period of time may be obtained from the data packet, a historical evolution of a parameter of the accelerator is determined based on the parameter information over the period of time, and a maintenance recommendation is generated based on the historical evolution of the parameter. For example, a user may be prompted to replace a component or adjust a parameter setting according to the evolution of the pulse signal at each node of the accelerator, and maintenance recommendations may be given according to the operating time of the accelerator, the time point of failure, the node of failure, the operation history, such as inspection required, time to replace a component, parameter configuration required to be adjusted, and the like.
In some embodiments, the customized evaluation may also be performed in a human-machine interactive manner, for example, the user may be prompted by a graphical user interface GUI to select an evaluation type, for example, to select at least one of an evaluation input condition, an output condition, and a synthesis condition, and the desired pulse data is selected to generate and present the evaluation result according to the evaluation type selected by the user. For example, when the user selects to evaluate the input condition, the pulse data of the nodes P1 and P3 may be used to generate and present the evaluation result to the user, and when the user selects to evaluate the integrated condition, the pulse data of the nodes P1 to P6 may be used to generate and present the evaluation result to the user.
Although a plurality of steps are described in a specific order in the above-described embodiment, embodiments of the present disclosure are not limited thereto, and several steps may be omitted as necessary, and the execution order of the steps may also be adjusted as necessary. For example, at least one of steps S205 and S206 may be omitted. Step S207 may be evaluated based on the data file obtained in step S204. Step S206 may be executed simultaneously with step S207, or may be executed after step S207.
Fig. 6 shows a schematic block diagram of an evaluation device 300 of an accelerator according to an embodiment of the present disclosure. The evaluation device 300 may be applied to the monitoring device of any of the embodiments described above, such as the monitoring device 100 or 200.
As shown in fig. 6, the evaluation device 300 includes a memory 310 and a processor 320. The memory 310 has stored therein instructions that, when executed by the processor 320, cause the processor 320 to perform the evaluation method of any of the embodiments described above. Examples of the evaluation device 300 include, but are not limited to, a Personal Computer (PC), a tablet computer, and the like. The evaluation device 300 may be connected to the monitoring device through a communication interface, for example, through a TCP interface already existing in the PC, so that a data file regarding, for example, the accelerator may be obtained from the monitoring device 200, and the operating condition of the accelerator may be evaluated based on the obtained data file.
The embodiment of the disclosure provides monitoring equipment, an evaluation method and evaluation equipment of an accelerator, and compared with a method for manually observing an oscilloscope in the traditional technology, the monitoring equipment, the evaluation method and the evaluation equipment of the accelerator can realize more accurate monitoring, recording and evaluation of the accelerator. By utilizing the algorithm to evaluate, upload the network and access multiple platforms, the dependency on the technical level of an observer is reduced. By adopting various ways to evaluate and present, the user can more intuitively know the working condition of the accelerator in various aspects, so that the monitoring quality of the accelerator can be improved.
It will be appreciated by those skilled in the art that the embodiments described above are exemplary and can be modified by those skilled in the art, and that the structures described in the various embodiments can be freely combined without conflict in structure or principle.
Having described preferred embodiments of the present disclosure in detail, it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the scope and spirit of the appended claims, and the disclosure is not limited to the exemplary embodiments set forth herein.
Claims (13)
1. A monitoring device for a dual energy accelerator, comprising:
the signal acquisition device is used for acquiring pulse signals at preset nodes of the accelerator to generate pulse data;
the first memory is connected with the signal acquisition device and used for caching pulse data generated by the signal acquisition device;
the first processor is connected with the first memory and used for reading the buffered pulse data from the first memory;
a second memory; and
and the second processor is connected with the first processor and the second memory and used for receiving the read pulse data from the first processor, packaging and compressing the received pulse data to generate a pulse data file, and storing the generated pulse data file in the second memory.
2. The monitoring device of claim 1, further comprising a first communication interface for communicating with an external evaluation device, the second processor further for providing the pulse data file in the second memory to the external evaluation device via the first communication interface.
3. The monitoring device of claim 2, further comprising a second communication interface for communicating with a control of the accelerator, the second processor further for receiving operational data of the accelerator from the control of the accelerator via the second communication interface, generating an operational data file based on the operational data and storing in the second memory.
4. The monitoring device of claim 3, the second processor further to provide at least one of a number of pulse files and a running data file in the second memory to a control of the accelerator for presentation via the second communication interface.
5. The monitoring device of claim 1, wherein the signal acquisition arrangement comprises a plurality of analog-to-digital converters, each for analog-to-digital converting the pulse signal at a respective preset node of the accelerator to produce pulse data for that preset node.
6. The monitoring device of claim 1, wherein the preset node comprises at least one of: the input end of the magnetron of the accelerator, the output end of the magnetron, the input end of the electron gun of the accelerator, the output end of the accelerating tube of the accelerator and the ionization chamber of the accelerator.
7. The monitoring device of claim 3, wherein the first and second communication interfaces are both Transmission Control Protocol (TCP) interfaces.
8. An evaluation method of a dual-energy accelerator, comprising:
acquiring a pulse data file from the monitoring device of any one of claims 1 to 7;
decompressing and unpacking the burst data file to generate burst data; and
evaluating an operating condition of the accelerator based on the pulse data.
9. The evaluation method of claim 8, wherein the pulse data includes pulse data for a plurality of preset nodes and operation data of an accelerator, the evaluation method further comprising: after decompression and unpacking, aligning the time stamps of the pulse data and the operation data aiming at the preset nodes, and synthesizing the pulse data and the operation data after aligning the time stamps into a data packet for the evaluation.
10. The evaluation method of claim 8, wherein the evaluation comprises at least one of:
acquiring parameter information of an accelerator from a data packet and digitizing the parameter information;
acquiring parameter information of an accelerator in a period of time from a data packet, and determining historical evolution of parameters of the accelerator based on the parameter information in the period of time;
acquiring parameter information of an accelerator in a period of time from a data packet, determining historical evolution of parameters of the accelerator based on the parameter information in the period of time, determining an abnormality of the accelerator based on the historical evolution of the parameters and recording the abnormality; and
obtaining parameter information of the accelerator over a period of time from the data packet, determining a historical evolution of parameters of the accelerator based on the parameter information over the period of time, and generating a maintenance recommendation based on the historical evolution of the parameters.
11. The evaluation method according to claim 10,
the pulse data comprises pulse data for a plurality of preset nodes; and is
The obtaining of parameter information of an accelerator over a period of time from a data packet, determining a historical evolution of parameters of the accelerator based on the parameter information over the period of time, determining an anomaly of the accelerator based on the historical evolution of the parameters and recording the anomaly comprising: for each of the plurality of preset nodes,
acquiring pulse data aiming at the preset node in the period of time from a data packet;
obtaining the variation of the parameter of the pulse signal at the preset node in the period of time from the pulse data in the period of time;
comparing the variable quantity with a preset threshold value;
responding to the fact that the variation exceeds the preset threshold value, and judging that the pulse signal at the preset node is abnormal; and
and recording waveform data of a pulse signal at the preset node, wherein the waveform data is preset from the time of the abnormality.
12. The evaluation method of claim 8, further comprising: the resultant data packet is uploaded to a remote server for multi-platform access.
13. An evaluation device of a dual energy accelerator comprising a memory and a processor, the memory having stored therein instructions which, when executed by the processor, cause the processor to carry out the evaluation method of any one of claims 8 to 12.
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