CN112380087A - Fault detection method and device of accelerator and computer equipment - Google Patents
Fault detection method and device of accelerator and computer equipment Download PDFInfo
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Abstract
The invention discloses a fault detection method and device of an accelerator and computer equipment, relates to the technical field of medical treatment, and mainly aims to ensure the timeliness of the detection of an electronic linear accelerator, improve the efficiency and accuracy of the fault detection of the electronic linear accelerator and facilitate the detection of maintenance personnel. The method comprises the following steps: acquiring a target analysis log file of an accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal. The invention is suitable for fault detection of the accelerator.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a fault detection method and device of an accelerator and computer equipment.
Background
The electron linear accelerator is a particle accelerator for radiotherapy of tumor, which utilizes the interaction between high-energy electrons with certain energy and the microwave magnetic field of high-power microwave to increase the electron mass continuously, when the electrons are led out, the electrons strike the heavy metal target to emit X-ray, and the X-ray is utilized to perform radiotherapy of patient, so that the normal operation of the electron accelerator is guaranteed to be crucial to the radiotherapy of patient.
At present, when the problem occurs in the edac, a maintenance worker usually detects the edac to determine the fault of the edac. However, in this method, a maintenance person needs to go to the site, which causes inconvenience to the maintenance person, and the detection timeliness of the direct electron accelerator is poor, and the efficiency and accuracy of fault detection are low.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for detecting a fault of an accelerator, and a computer device, and mainly aims to ensure the timeliness of the detection of an electronic linear accelerator, improve the efficiency and accuracy of the fault detection of the electronic linear accelerator, and facilitate the detection of maintenance personnel.
According to an aspect of the present invention, there is provided a fault detection method of an accelerator, including:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
According to another aspect of the present invention, there is provided a failure detection apparatus of an accelerator, including:
the acquisition unit is used for acquiring a target analysis log file of the accelerator to be detected;
the analysis unit is used for analyzing the target analysis log file and determining analysis information corresponding to the target analysis log file;
and the determining unit is used for determining the fault information corresponding to the accelerator according to the analysis information and sending the fault information to the maintenance personnel terminal.
According to yet another aspect of the invention, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
According to a further aspect of the present invention, there is provided a computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the program:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
Compared with the current mode that maintenance personnel carry out field detection on the electronic direct accelerator, the fault detection method, the fault detection device and the computer equipment of the accelerator provided by the invention can obtain a target analysis log file of the accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal, so that the timeliness of the detection of the electronic linear accelerator is ensured, the efficiency and the accuracy of the fault detection of the electronic linear accelerator can be improved, and the detection of the maintenance personnel is facilitated.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a method for detecting a fault of an accelerator according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for detecting a fault of an accelerator according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram illustrating a fault detection apparatus of an accelerator according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating a fault detection apparatus of another accelerator according to an embodiment of the present invention;
fig. 5 shows a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As described in the background, at present, when the problem occurs in the edg, the edg is usually detected by a maintenance person to determine the failure of the edg. However, in this method, a maintenance person needs to go to the site, which causes inconvenience to the maintenance person, and the detection timeliness of the direct electron accelerator is poor, and the efficiency and accuracy of fault detection are low.
In order to solve the above problems and improve the efficiency and accuracy of fault detection of an electronic linear accelerator, an embodiment of the present invention provides a fault detection method of an accelerator, as shown in fig. 1, where the method includes:
101. and acquiring a target analysis log file of the accelerator to be detected.
The number of the accelerators to be detected is one or more than one, the target analysis log file is an updated log file and a newly generated log file in the running process of the accelerator, and the target analysis log file specifically comprises a running log and a diagnosis and treatment log of the electronic linear accelerator. For the present embodiment, the method is mainly applied to the fault detection of the electron linear accelerator, and the main execution body of the present embodiment is the quality control system of the electron linear accelerator.
For the embodiment of the invention, in order to detect the operation state of the electronic linear accelerator, that is, to judge whether a fault occurs in the operation or diagnosis and treatment process of the electronic linear accelerator, a target analysis log file of the accelerator to be detected needs to be acquired so as to analyze the target analysis log file, and fault information of the accelerator to be detected is determined according to an analysis result.
102. And analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file.
The analysis information includes a detection result of the accelerator to be detected, where the detection result may be that the detection is normal or that a fault exists, and when the detection result is that the fault exists, the analysis information further includes fault information corresponding to the accelerator to be detected, for example, that the accelerator to be detected is abnormally shut down. For the embodiment of the invention, after each log file of the accelerator to be detected is obtained from the accelerator control machine and the target analysis log file is screened out, the target analysis log is analyzed so as to obtain the analysis code corresponding to the target analysis log file, and the analysis information corresponding to the target analysis log file is determined by translating the analysis code, so that the operation fault of the accelerator to be detected can be known through the analysis information, maintenance personnel does not need to go to the site for fault detection, and the timeliness of fault detection of the accelerator to be detected is ensured.
103. And determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
Wherein, the analysis information includes the detection result of the accelerator to be detected, the detection result can be normal detection or fault detection, when the detection result is that there is a fault, the analysis information further includes fault information corresponding to the accelerator to be detected, for example, the detection information shows that abnormal shutdown of the accelerator to be detected exists, and for the embodiment of the invention, when the detection result shows that the fault exists, the storage fault of the accelerator to be detected is indicated, the quality control system sends the fault information to the equipment terminal of the maintenance personnel, and sends message early warning to it, the maintenance personnel can check the fault information of the accelerator through the terminal equipment or the quality control system without on-site fault detection, therefore, convenience is brought to maintenance personnel, the workload of the maintenance personnel is reduced, and meanwhile, the fault detection efficiency and the accuracy of the accelerator are improved.
Compared with the current mode that maintenance personnel carry out field detection on the electronic direct accelerator, the fault detection method for the accelerator provided by the embodiment of the invention can obtain a target analysis log file of the accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal, so that the timeliness of the detection of the electronic linear accelerator is ensured, the efficiency and the accuracy of the fault detection of the electronic linear accelerator can be improved, and the detection of the maintenance personnel is facilitated.
Further, in order to better explain the above process of detecting the failure of the electron linear accelerator, as a refinement and extension of the above embodiment, an embodiment of the present invention provides another method for detecting the failure of the accelerator, as shown in fig. 2, where the method includes:
201. and acquiring a target analysis log file of the accelerator to be detected.
According to the embodiment of the invention, when an accelerator control machine is started, FTP service in the accelerator control machine shares operation logs and diagnosis and treatment logs of the accelerator, each operation log and each diagnosis and treatment log in the accelerator to be detected can be obtained through a log loading program on a service machine, and further, updated or newly generated logs are screened from each operation log and each diagnosis and treatment log and determined as the target analysis log file, so that the fault information of the accelerator to be detected can be determined through analyzing the target analysis log. In order to screen a target analysis log file from each log file of the accelerator, step 201 specifically includes: determining first attribute information of each log file of the accelerator to be detected in the last detection and second attribute information of each log file of the accelerator to be detected in the current detection; comparing the first attribute information and the second attribute information corresponding to the log files respectively; and determining a target analysis log file in each log file according to the comparison result.
In addition, the determining a target parsing log file in the respective log files according to the comparison result includes: if the first attribute information and the second attribute information corresponding to the target log file in each log file are the same, determining that the target log file is not the target analysis log file; and if the first attribute information and the second attribute information corresponding to the target log file are different, determining that the target log file is the target analysis log file.
Wherein the first attribute information includes: the first identification information, the first file size and the first time information corresponding to each log file during the last detection, where the second attribute information includes second identification information, a second file size and second time information corresponding to each log file during the current detection, and if the first attribute information and the second attribute information corresponding to a target log file in each log file are the same, determining that the target log file is not the target analysis log file, including: if the first identification information corresponding to the target log file in each log file is the same as the second identification information, judging whether the first file size and the second file size corresponding to the target log file are the same; if the first file size is the same as the second file size, judging whether first time information and second time information corresponding to the target log file are the same; and if the first time information is the same as the second time information, determining that the target log file is not the target analysis log file. The first identification information and the second identification information may be codes or names of log files.
Specifically, when the electronic linear accelerator is operated or diagnosed, a log file of the accelerator changes, which may specifically cause the name, size, and modification date of the log file to change, and when a quality control system is used to detect the electronic execution accelerator, and traverse each log file of the accelerator to be detected, the attribute information corresponding to each log file during this detection, which specifically includes the name, size, and modification date of the log file, is recorded, so that when the electronic linear accelerator is detected next time, by comparing the attribute information of each log file during this detection with the attribute information of each log file during the last detection, the updated log file and the newly generated log file can be identified, and determined as the target analysis log file.
For example, for a log file a of an accelerator to be detected, if the identification information corresponding to the log file a at the time of the detection is different from the identification information corresponding to the log file a at the time of the last detection, it is determined that the log file a has changed, and the log file a is a target analysis log file; if the identification information corresponding to the log file A at the current detection time is different from the identification information corresponding to the log file A at the last detection time, continuously judging whether the file size corresponding to the log file A at the current detection time is the same as the file size corresponding to the log file A at the last detection time, and if the file size corresponding to the log file A at the current detection time is different from the file size corresponding to the log file A at the last detection time, determining that the log file A is changed, wherein the log file A is a target analysis log file; if the file size corresponding to the log file A in the current detection is the same as the file size corresponding to the log file A in the last detection, continuously judging whether the time information corresponding to the log file A in the current detection is the same as the time information corresponding to the log file A in the last detection, and if the time information corresponding to the log file A in the current detection is different from the time information corresponding to the log file A in the last detection, determining the log file A as a target analysis log file; if the time information corresponding to the log file A at the current detection time is the same as the time information corresponding to the log file A at the last detection time, the log file A is finally determined not to be the target analysis log file, so that the target analysis log file can be screened from the acquired log files in the above mode so as to analyze the target analysis log file and determine the analysis information corresponding to the target analysis log file, wherein the number of the target analysis log files can be one or more.
Further, the quality control system may detect the accelerator to be detected at preset time intervals, obtain each log file of the accelerator to be detected, and screen out a target analysis log file for analysis, for example, the quality control system communicates with a controller of the accelerator to be detected at intervals of 1s, obtain each log file of the accelerator to be detected, screen out the target analysis log file for analysis, so as to determine fault information of the accelerator to be detected according to the analysis information.
202. And analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file.
For the embodiment of the present invention, in order to obtain the analysis information corresponding to the target analysis log file, step 202 specifically includes: analyzing the target analysis log file to obtain an analysis code corresponding to the target analysis log file; and searching a preset analysis code translation dictionary according to the analysis codes, and determining analysis information corresponding to the target analysis log. The preset analysis code translation dictionary stores analysis information corresponding to different analysis codes.
Specifically, each log file in the accelerator to be detected comprises an analysis code, the running and diagnosis and treatment states of the accelerator to be detected in the analysis code can be obtained by analyzing the obtained target analysis log, a preset analysis code translation dictionary is inquired according to the analysis code, the analysis code is translated to obtain analysis information corresponding to the target analysis log file, whether the accelerator to be detected has a fault can be determined according to the analysis information, and if the accelerator to be detected has the fault, fault information of the accelerator to be detected can be determined according to the analysis information.
203. And determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
For the embodiment of the invention, the analytic information comprises the detection result of the accelerator to be detected, the detection result can be normal detection or fault existence, when the detection result is that the accelerator to be detected has fault, the control system can send early warning information to the terminal equipment of maintenance personnel so as to remind the maintenance personnel that the accelerator has fault, meanwhile, the fault information in the analytic information is sent to the corresponding maintenance personnel terminal, the maintenance personnel can know the fault of the accelerator to be detected by looking at the interface of the mobile phone terminal or the quality control system, the detection is not required to be carried out on site, the timeliness of the detection of the accelerator is ensured, and meanwhile, compared with an artificial fault detection mode, the fault detection efficiency and the accuracy of the embodiment of the invention are higher.
204. And inquiring a preset accelerator parameter table according to the fault category corresponding to the fault information, determining an adjustment parameter corresponding to the accelerator to be detected, and adjusting the accelerator to be detected according to the adjustment parameter.
Wherein, the preset accelerator parameter table stores adjusting parameters and parameter values corresponding to different fault information, specifically, historical fault types of the electronic linear accelerator and the corresponding adjusting parameters and parameter values thereof can be collected in advance, mapping relations between different fault types and different adjusting parameters are constructed, the preset accelerator parameter table is constructed according to the mapping relations, when the quality control system determines the fault information corresponding to the accelerator to be detected, the fault information has the fault type of the current fault of the accelerator, the preset accelerator parameter table is inquired according to the fault type, the adjusting parameters and parameter values corresponding to the accelerator to be detected are determined, and the determined adjusting parameters and the corresponding parameter values thereof are sent to the accelerator controller to carry out parameter adjustment on the accelerator, thereby avoiding the parameter adjustment carried out by maintenance personnel to the site, and improving the maintenance efficiency of the accelerator, the workload of maintenance personnel is also reduced.
Compared with the current mode that maintenance personnel carry out field detection on the electronic direct accelerator, the fault detection method for the accelerator provided by the embodiment of the invention can obtain a target analysis log file of the accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal, so that the timeliness of the detection of the electronic linear accelerator is ensured, the efficiency and the accuracy of the fault detection of the electronic linear accelerator can be improved, and the detection of the maintenance personnel is facilitated.
Further, as a specific implementation of fig. 1, an embodiment of the present invention provides a fault detection apparatus for an accelerator, as shown in fig. 3, the apparatus includes: an acquisition unit 31, an analysis unit 32 and a determination unit 33.
The obtaining unit 31 may be configured to obtain a target analysis log file of the accelerator to be detected. The acquiring unit 31 is a main functional module in the device for acquiring a target analysis log file of an accelerator to be detected.
The parsing unit 32 may be configured to parse the target parsing log file, and determine parsing information corresponding to the target parsing log file. The parsing unit 32 is a main function module of the present apparatus that parses the target parsing log file and determines parsing information corresponding to the target parsing log file, and is also a core function module of the present apparatus.
The determining unit 33 may be configured to determine fault information corresponding to the accelerator according to the analysis information, and send the fault information to a service man terminal. The determining unit 33 is a main function module in the present apparatus that determines the fault information corresponding to the accelerator according to the analysis information, and sends the fault information to the maintenance staff terminal.
For the embodiment of the present invention, in order to determine the parsing information corresponding to the target parsing log file, as shown in fig. 4, the parsing unit 32 includes a parsing module 321 and a determining module 322.
The parsing module 321 may be configured to parse the target parsing log file to obtain a parsing code corresponding to the target parsing log file.
The determining module 322 may be configured to search a preset parsing code translation dictionary according to the parsing code, and determine parsing information corresponding to the target parsing log.
Further, in order to obtain a target analysis log file of an accelerator to be detected, the obtaining unit 31 includes: a determination module 311 and a comparison module 312.
The determining module 311 may be configured to determine first attribute information obtained when each log file of the accelerator to be detected is detected last time and second attribute information obtained when each log file of the accelerator to be detected is detected this time.
The comparing module 312 may be configured to compare the first attribute information and the second attribute information corresponding to the respective log files, respectively.
The determining module 311 may be further configured to determine a target analysis log file in each log file according to the comparison result.
Further, in order to determine the target parsing log file in the respective log files, the determining module 313 includes a first determining sub-module and a second determining sub-module.
The first determining sub-module may be configured to determine that the target log file is not the target analysis log file if the first attribute information and the second attribute information corresponding to the target log file in each log file are the same.
The second determining submodule may be configured to determine that the target log file is the target analysis log file if the first attribute information and the second attribute information corresponding to the target log file are different.
Further, the first attribute information includes: the first determining submodule may be specifically configured to determine whether a first file size and a second file size corresponding to a target log file in each log file are the same if the first identification information corresponding to the target log file is the same as the second identification information; if the first file size is the same as the second file size, judging whether first time information and second time information corresponding to the target log file are the same; and if the first time information is the same as the second time information, determining that the target log file is not the target analysis log file.
Further, in order to adjust the accelerator to be detected, the apparatus further includes: the adjusting unit 34, where the adjusting unit 34 may be configured to query a preset accelerator parameter table according to the fault category corresponding to the fault information, determine an adjustment parameter corresponding to the accelerator to be detected, and adjust the accelerator to be detected according to the adjustment parameter.
Further, the obtaining unit 31 may be specifically configured to obtain a target analysis log file of the accelerator to be detected at preset time intervals.
It should be noted that other corresponding descriptions of the functional units related to the fault detection apparatus for an accelerator according to the embodiments of the present invention may refer to the corresponding description in fig. 1, and are not described herein again.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps: acquiring a target analysis log file of an accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 3, the embodiment of the present invention further provides a computer device, as shown in fig. 5, including a processor (processor)41, a communication Interface (communication Interface)42, a memory (memory)43, and a communication bus 44. Wherein: the processor 41, the communication interface 42, and the memory 43 communicate with each other via a communication bus 44. A communication interface 44 for communicating with network elements of other devices, such as clients or other servers. The processor 41 is configured to execute a program, and may specifically execute relevant steps in the above data conversion method embodiment. In particular, the program may include program code comprising computer operating instructions. The processor 41 may be a central processing unit CPU or a Specific Integrated circuit asic (application Specific Integrated circuit) or one or more Integrated circuits configured to implement an embodiment of the invention.
The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs. And a memory 43 for storing a program. The memory 43 may comprise a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The program may specifically be adapted to cause the processor 41 to perform the following operations: acquiring a target analysis log file of an accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
Compared with the current mode that maintenance personnel carry out field detection on the electronic direct accelerator, the fault detection method, the fault detection device and the computer equipment of the accelerator provided by the embodiment of the invention can obtain a target analysis log file of the accelerator to be detected; analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file; and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal, so that the timeliness of the detection of the electronic linear accelerator is ensured, the efficiency and the accuracy of the fault detection of the electronic linear accelerator can be improved, and the detection of the maintenance personnel is facilitated.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the radiation therapy planning system-based portal setting apparatus in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method of fault detection for an accelerator, comprising:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
2. The method of claim 1, wherein the parsing the target parsing log file and determining parsing information corresponding to the target parsing log file comprises:
analyzing the target analysis log file to obtain an analysis code corresponding to the target analysis log file;
and searching a preset analysis code translation dictionary according to the analysis codes, and determining analysis information corresponding to the target analysis log.
3. The method of claim 1, wherein the obtaining a target resolution log file of an accelerator to be detected comprises:
determining first attribute information of each log file of the accelerator to be detected in the last detection and second attribute information of each log file of the accelerator to be detected in the current detection;
comparing the first attribute information and the second attribute information corresponding to the log files respectively;
and determining a target analysis log file in each log file according to the comparison result.
4. The method of claim 3, wherein determining the target parse log file in the respective log files according to the comparison comprises:
if the first attribute information and the second attribute information corresponding to the target log file in each log file are the same, determining that the target log file is not the target analysis log file;
and if the first attribute information and the second attribute information corresponding to the target log file are different, determining that the target log file is the target analysis log file.
5. The method of claim 4, wherein the first attribute information comprises: the first identification information, the first file size and the first time information corresponding to each log file during the last detection, where the second attribute information includes second identification information, a second file size and second time information corresponding to each log file during the current detection, and if the first attribute information and the second attribute information corresponding to a target log file in each log file are the same, determining that the target log file is not the target analysis log file, including:
if the first identification information corresponding to the target log file in each log file is the same as the second identification information, judging whether the first file size and the second file size corresponding to the target log file are the same;
if the first file size is the same as the second file size, judging whether first time information and second time information corresponding to the target log file are the same;
and if the first time information is the same as the second time information, determining that the target log file is not the target analysis log file.
6. The method of claim 1, wherein after determining the failure information corresponding to the accelerator according to the parsing information, the method further comprises:
and inquiring a preset accelerator parameter table according to the fault category corresponding to the fault information, determining an adjustment parameter corresponding to the accelerator to be detected, and adjusting the accelerator to be detected according to the adjustment parameter.
7. The method according to any one of claims 1 to 6, wherein the obtaining a target resolution log file of an accelerator to be detected comprises:
and acquiring a target analysis log file of the accelerator to be detected at preset time intervals.
8. A failure detection apparatus of an accelerator, comprising:
the acquisition unit is used for acquiring a target analysis log file of the accelerator to be detected;
the analysis unit is used for analyzing the target analysis log file and determining analysis information corresponding to the target analysis log file;
and the determining unit is used for determining the fault information corresponding to the accelerator according to the analysis information and sending the fault information to the maintenance personnel terminal.
9. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of:
acquiring a target analysis log file of an accelerator to be detected;
analyzing the target analysis log file, and determining analysis information corresponding to the target analysis log file;
and determining fault information corresponding to the accelerator according to the analysis information, and sending the fault information to a maintenance personnel terminal.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05303523A (en) * | 1992-04-28 | 1993-11-16 | Oki Electric Ind Co Ltd | In-fault process restore system |
| CN108540218A (en) * | 2018-04-24 | 2018-09-14 | 国家电网公司 | Electric power optical cable safety failure processing method and processing device |
| CN109240895A (en) * | 2018-09-11 | 2019-01-18 | 北京北信源信息安全技术有限公司 | A kind of processing method and processing device for analyzing log failure |
| CN109446042A (en) * | 2018-10-12 | 2019-03-08 | 安徽南瑞中天电力电子有限公司 | A kind of blog management method and system for intelligent power equipment |
| US10229105B1 (en) * | 2014-09-30 | 2019-03-12 | EMC IP Holding Company LLC | Mobile log data parsing |
| CN110401949A (en) * | 2019-06-19 | 2019-11-01 | 北京友宝在线科技股份有限公司 | Terminal device running log method for uploading and device |
| CN110688358A (en) * | 2019-09-20 | 2020-01-14 | 苏州浪潮智能科技有限公司 | Log collection method, device and equipment and readable storage medium |
-
2020
- 2020-10-16 CN CN202011107524.2A patent/CN112380087A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05303523A (en) * | 1992-04-28 | 1993-11-16 | Oki Electric Ind Co Ltd | In-fault process restore system |
| US10229105B1 (en) * | 2014-09-30 | 2019-03-12 | EMC IP Holding Company LLC | Mobile log data parsing |
| CN108540218A (en) * | 2018-04-24 | 2018-09-14 | 国家电网公司 | Electric power optical cable safety failure processing method and processing device |
| CN109240895A (en) * | 2018-09-11 | 2019-01-18 | 北京北信源信息安全技术有限公司 | A kind of processing method and processing device for analyzing log failure |
| CN109446042A (en) * | 2018-10-12 | 2019-03-08 | 安徽南瑞中天电力电子有限公司 | A kind of blog management method and system for intelligent power equipment |
| CN110401949A (en) * | 2019-06-19 | 2019-11-01 | 北京友宝在线科技股份有限公司 | Terminal device running log method for uploading and device |
| CN110688358A (en) * | 2019-09-20 | 2020-01-14 | 苏州浪潮智能科技有限公司 | Log collection method, device and equipment and readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 蔡厚道等: "《数控机床维修与调试》", 31 August 2010, 北京理工大学出版社, pages: 213 - 215 * |
| 阎世尊: "《8088、286、386、486维修调试与286BIOS分析注解》", 28 February 1993, 海洋出版社, pages: 35 - 37 * |
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