CN112860348A - Intelligent diagnosis and analysis system of injection molding machine - Google Patents
Intelligent diagnosis and analysis system of injection molding machine Download PDFInfo
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Abstract
The invention discloses an intelligent diagnosis and analysis system of an injection molding machine, which is used for solving the problems of higher diagnosis difficulty and longer time consumption when the fault of the injection molding machine is diagnosed in the prior art, and comprises the following steps: the IPC diagnosis equipment is used for acquiring the injection molding machine data of the injection molding machine to be detected and sending the injection molding machine data to the diagnosis server; according to the method, the injection molding machine data are collected through the IPC diagnosis equipment and are sent to the diagnosis server, when the diagnosis server stores the fault cases matched with the injection molding machine data in the preset fault case knowledge base, the fault cases are used as target fault cases, case information corresponding to the target fault cases is searched, the case information is sent to the terminal equipment, the case information is displayed through the terminal equipment, and after-sales technicians only need to maintain the injection molding machine to be tested based on the displayed case information, so that the difficulties of diagnosis and maintenance are reduced, and the time is saved.
Description
Technical Field
The invention relates to the technical field of intelligent diagnosis of injection molding machines, in particular to an intelligent diagnosis and analysis system of an injection molding machine.
Background
The global plastic consumption exceeds that of steel from volume, and becomes the first large industrial material, the consumption of China reaches about 9000 ten thousand tons, the global plastic consumption is the largest country, and the industrial scale reaches 2.8 trillion; the injection molding equipment industry is being targeted as the backbone industry for national economic development. The plastic machinery in China has leaped the first world since 2005 and is rapidly increased, and the plastic machinery has been listed as a national key encouragement industry by the national development and improvement committee injection molding equipment.
With the technology development of the injection molding machine becoming faster and faster, the defect of insufficient backup force of professional technicians in the injection molding machine industry becomes more obvious. In the prior art, when the fault of the injection molding machine is diagnosed, the diagnosis difficulty is high, the time consumption is long, and how to improve the self-diagnosis and self-inspection of the injection molding machine becomes a difficult problem which must be overcome by the industry.
Disclosure of Invention
The invention aims to solve the problems of high diagnosis difficulty and long time consumption in the process of diagnosing faults of an injection molding machine in the prior art, and provides an intelligent diagnosis and analysis system of the injection molding machine.
The purpose of the invention can be realized by the following technical scheme: an injection molding machine intelligent diagnostic analysis system, comprising:
the IPC diagnosis equipment is connected with an EtherNet interface of the injection molding machine to be detected and used for acquiring injection molding machine data of the injection molding machine to be detected and sending the injection molding machine data to the diagnosis server;
the diagnosis server is used for judging whether a preset fault case knowledge base stores fault cases matched with the injection molding machine data or not, and when the preset fault case knowledge base stores the fault cases matched with the injection molding machine data, the fault cases matched with the injection molding machine data are used as target fault cases, case information corresponding to the target fault cases is searched, and the case information is sent to the terminal equipment;
the terminal equipment is used for displaying the case information;
preferably, the IPC diagnostic device is further configured to obtain a diagnostic configuration file, generate an injection molding machine detection instruction according to the diagnostic configuration file, and send the injection molding machine detection instruction to the injection molding machine to be detected.
Preferably, the IPC diagnostic device is further configured to determine diagnostic data of each controller in the injection molding machine to be detected according to the node data, and generate injection molding machine data according to the diagnostic data.
Preferably, the IPC diagnostic device is further configured to generate a file synchronization instruction, and send the file synchronization instruction to the diagnostic server;
the diagnosis server searches a diagnosis configuration file based on the file synchronization instruction and sends the diagnosis configuration file to the IPC diagnosis equipment;
and the IPC diagnosis equipment acquires the diagnosis configuration file from the preset storage equipment.
The diagnosis server is also used for extracting fault codes and keywords from the injection molding machine data and judging whether fault cases matched with the fault codes and the keywords are stored in a preset fault case knowledge base or not.
Preferably, the diagnosis server is further configured to generate fault early warning information when a fault case matching the injection molding machine data does not exist in the preset fault case knowledge base, and send the fault early warning information to the terminal device;
the terminal equipment displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal equipment;
the terminal equipment receives the fault case to be stored input by the technical personnel and sends the fault case to be stored to the diagnosis server; and the diagnosis server stores the fault case to be stored into the preset fault case knowledge base.
Preferably, the diagnostic analysis method of the system includes:
s1: the IPC diagnosis equipment acquires the injection molding machine data of the injection molding machine to be detected and sends the injection molding machine data to the diagnosis server;
s2: the diagnosis server judges whether a preset fault case knowledge base stores fault cases matched with the injection molding machine data;
s3: when the preset fault case knowledge base stores fault cases matched with the injection molding machine data, the diagnosis server takes the fault cases matched with the injection molding machine data as target fault cases, searches case information corresponding to the target fault cases and sends the case information to the terminal equipment;
s4: the terminal equipment displays the case information so that a technician can maintain the injection molding machine to be detected based on the displayed case information;
s5: when the preset fault case knowledge base does not have fault cases matched with the injection molding machine data, the diagnosis server generates fault early warning information and sends the fault early warning information to the terminal equipment;
s6: the terminal equipment displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal equipment;
s7: the terminal equipment receives the fault case to be stored input by the technician and sends the fault case to be stored to the diagnosis server;
s8: and the diagnosis server stores the fault case to be stored into the preset fault case knowledge base.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the injection molding machine data are collected through the IPC diagnosis equipment and are sent to the diagnosis server, when the diagnosis server stores the fault cases matched with the injection molding machine data in the preset fault case knowledge base, the fault cases are used as target fault cases, case information corresponding to the target fault cases is searched, the case information is sent to the terminal equipment, the case information is displayed through the terminal equipment, and after-sales technicians only need to maintain the injection molding machine to be tested based on the displayed case information, so that the difficulties of diagnosis and maintenance are reduced, and the time is saved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a schematic view of a computer data node of the injection molding machine of the present invention;
FIG. 3 is a flow chart of the diagnostic method of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technicians referred to in this embodiment are after-sales technicians, i.e., technicians for repairing the injection molding machine, different from manufacturer technicians, which are specialized in the research and production of injection molding machines and have stronger professional ability, and the after-sales technicians are usually faced with various injection molding machines and various failure problems.
Referring to fig. 1-3, an intelligent diagnosis and analysis system for an injection molding machine comprises:
the IPC diagnosis equipment is connected with the EtherNet interface of the injection molding machine to be detected and used for acquiring the injection molding machine data of the injection molding machine to be detected and sending the injection molding machine data to the diagnosis server;
the diagnosis server is used for judging whether a preset fault case knowledge base stores fault cases matched with the injection molding machine data or not, and when the preset fault case knowledge base stores the fault cases matched with the injection molding machine data, the fault cases matched with the injection molding machine data are used as target fault cases, case information corresponding to the target fault cases is searched, and the case information is sent to the terminal equipment;
and the terminal equipment is used for displaying the case information.
And the IPC diagnosis equipment is also used for acquiring the diagnosis configuration file, generating an injection molding machine detection instruction according to the diagnosis configuration file and sending the injection molding machine detection instruction to the injection molding machine to be detected.
And the IPC diagnostic equipment is also used for determining the diagnostic data of each controller in the injection molding machine to be detected according to the node data and generating the injection molding machine data according to the diagnostic data.
The IPC diagnosis equipment is also used for generating a file synchronization instruction and sending the file synchronization instruction to the diagnosis server;
the diagnosis server searches a diagnosis configuration file based on the file synchronization instruction and sends the diagnosis configuration file to the IPC diagnosis equipment;
the IPC diagnosis device obtains a diagnosis configuration file from a preset storage device.
And the diagnosis server is also used for extracting the fault codes and the keywords from the injection molding machine data and judging whether the preset fault case knowledge base stores the fault cases matched with the fault codes and the keywords.
The diagnosis server is also used for generating fault early warning information when a fault case matched with the injection molding machine data does not exist in the preset fault case knowledge base and sending the fault early warning information to the terminal equipment;
the terminal equipment displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal equipment;
it should be noted that the Injection molding machine automatic diagnosis system (IPC, Injection PC) can detect the working conditions of the electronic control system and other functional modules of the Injection molding machine in real time during the operation of the Injection molding machine, if the working conditions are abnormal, the specific fault is judged according to a specific algorithm and stored in a memory in the system in the form of a diagnosis fault code, useful information obtained after the system self-diagnosis can provide help for the maintenance and the repair of the Injection molding machine, and a maintenance worker can visually see the fault content on the Injection molding machine computer, so that the fault can be quickly positioned, the repair of the Injection molding machine can be facilitated, and the time for manual diagnosis can be reduced. The position of the IPC interface is generally arranged at the computer mainboard of the injection molding machine. The IPC diagnosis equipment supplies power independently for external 20V, and the IPC data interface adopts an EtherNet standard interface uniformly, so that the IPC diagnosis equipment is suitable for various injection molding machine computers with different brands.
The IPC diagnosis device 1 in this embodiment is a device that can be used for IPC diagnosis, and after-sales technicians need to perform fault diagnosis on the injection molding machine to be tested, the interface of the IPC diagnosis device 1 can be connected with the IPC interface of the injection molding machine to be tested, and after the interface is connected, the data of the injection molding machine to be tested can be acquired through the IPC diagnosis device 1, and the IPC diagnosis device 1 can also send the acquired data of the injection molding machine to the diagnosis server 2.
And the diagnosis server 2 is used for judging whether the preset fault case knowledge base stores fault cases matched with the data of the injection molding machine.
It should be understood that the preset fault case knowledge base may be a database specially used for storing fault solution case data of the injection molding machine, may be a cloud database, and may also be a hard disk database, which is not limited in this embodiment. The existing fault solution cases can be recorded into a preset fault case knowledge base, associated fault codes, keywords and the like are set, and when fault detection is carried out, corresponding fault cases can be matched from the preset fault case knowledge base to serve as references.
And the diagnosis server 2 is further configured to, when a fault case matched with the injection molding machine data is stored in the preset fault case knowledge base, take the fault case matched with the injection molding machine data as a target fault case, search case information corresponding to the target fault case, and send the case information to the terminal device 3.
It should be understood that, when a failure case matching the injection molding machine data is stored in the preset failure case knowledge base, the failure case matching the injection molding machine data may be used as a target failure case. Case data corresponding to a target fault case can be searched, information such as fault codes, controller versions, driver motors, temperature and vibration in the case data is analyzed, summarized and integrated, comparative analysis is carried out through basic algorithms such as fault priority and motion control, case information is obtained, and the case information is sent to the terminal equipment 3;
and the terminal equipment 3 is used for displaying the case information so that technicians can maintain the injection molding machine to be detected based on the displayed case information.
It can be understood that the terminal device 3 can display the case information, and then the technician maintains the injection molding machine to be detected based on the displayed case information, in this embodiment, the fault and state data of the injection molding machine are automatically integrated, screened and mined, and a corresponding fault solution is generated after statistical analysis, so that the maintenance work of the injection molding machine is timely and effectively solved, and the work of the technician is simplified.
In a specific implementation, the IPC diagnostic device 1 may send a C001 instruction (an instruction to acquire data) to the injection molding machine, receive corresponding data of the injection molding machine through a C002 instruction (an instruction to return diagnostic data), and send related profile information to perform update synchronization through an R02 instruction (a profile synchronization update instruction). The IPC diagnosis device 1 sends the data of the injection molding machine to the diagnosis server 2 in real time through a B01 instruction (a diagnosis data uploading instruction), the diagnosis server 2 calls an intelligent matching algorithm to search a fault case through a B03 instruction (a matching case instruction), if the case does not exist, the diagnosis server carries out early warning on a technician, the relevant fault case is recorded through a B05 instruction (a recording case instruction), and the diagnosis server 2 pushes the matched fault case to the technician in real time through a B04 instruction (a case pushing instruction) to guide the maintenance of the injection molding machine. The whole-course data is processed in an automatic mode without the intervention of personnel.
In the embodiment, compared with the prior art that an after-sales technician needs to perform subjective analysis on fault data, consult data and contact a manufacturer technician to maintain an injection molding machine, the embodiment acquires the injection molding machine data through the IPC diagnostic device 1 and sends the injection molding machine data to the diagnostic server 2, when a fault case matched with the injection molding machine data is stored in the preset fault case knowledge base by the diagnostic server 2, the fault case is used as a target fault case and is used for searching case information corresponding to the target fault case, the case information is sent to the terminal device 3, the case information is displayed by the terminal device 3, and the after-sales technician only needs to maintain the injection molding machine to be tested based on the displayed case information, so that the difficulty of diagnosis and maintenance is reduced, and the time is also saved.
Further, in order to more accurately acquire the injection molding machine data of the injection molding machine to be tested, the IPC diagnosis device 1 is further configured to acquire a diagnosis configuration file, generate an injection molding machine detection instruction according to the diagnosis configuration file, and send the injection molding machine detection instruction to the injection molding machine to be tested; the IPC diagnostic equipment 1 is also used for determining the diagnostic data of each controller in the injection molding machine to be detected according to the node data and generating the injection molding machine data according to the diagnostic data.
It CAN be understood that the IPC diagnostic apparatus 1 CAN obtain a diagnostic configuration file, generate an injection molding machine detection instruction according to the content of the diagnostic configuration file, and send the injection molding machine detection instruction to the injection molding machine to be detected, where the diagnostic configuration file may contain information such as diagnostic service, bus baud rate, and CAN pin definition, thereby ensuring the accuracy of data reading. The injection molding machine data collected by the IPC diagnostic apparatus 1 may include information such as a fault code of the controller, an injection molding machine configuration, a driver motor, and a controller version, and may also include information of other injection molding machine controllers, which is not limited in this embodiment.
It CAN be understood that the IPC diagnostic device 1 CAN be internally provided with a 5G card and an SD card, and CAN collect all IO data of the injection molding machine to be tested, and data such as Ethercat and CAN nodes, and after an after-sales technician inserts the IPC diagnostic device 1 into an IPC interface of the injection molding machine, the data of each data node of the injection molding machine to be tested CAN be automatically collected through a diagnostic configuration file, so as to determine diagnostic data of each controller in the injection molding machine to be tested, and the diagnostic data CAN be uploaded to the diagnostic server 2 in real time through a wireless network.
The invention provides an IPC-based intelligent diagnosis method which is suitable for the IPC-based intelligent diagnosis system of an injection molding machine, and the IPC-based intelligent diagnosis system of the injection molding machine comprises: IPC diagnostic equipment, a diagnostic server 2 and a terminal device 3, wherein the IPC diagnostic equipment is connected with an IPC interface of the injection molding machine to be detected, and the IPC-based intelligent diagnosis method comprises the following steps:
s1, the IPC diagnostic equipment 1 collects the injection molding machine data of the injection molding machine to be detected and sends the injection molding machine data to the diagnostic server 2.
In a specific implementation, as shown in fig. 3, fig. 3 is a schematic diagram of a computer data node of an injection molding machine, where: CAN node 1, CAN node 2, Ethercat node 1, Ethercat node 2, DI data, AI data, these node data of accessible online diagnosis interface and diagnosis configuration file automatic acquisition.
Further, in order to obtain the latest diagnosis configuration file and improve the data acquisition effect of the injection molding machine to improve the accuracy of fault diagnosis, before the IPC diagnosis device 1 obtains the diagnosis configuration file, the method further includes:
the IPC diagnostic equipment 1 generates a file synchronization instruction and sends the file synchronization instruction to the diagnostic server 2; the diagnosis server 2 searches a diagnosis configuration file based on the file synchronization instruction and sends the diagnosis configuration file to the IPC diagnosis device 1; the IPC diagnostic equipment 1 synchronously stores the diagnostic configuration file into preset storage equipment, and the preset storage equipment is arranged on the IPC diagnostic equipment 1;
accordingly, the IPC diagnostic apparatus 1 acquires a diagnostic profile including:
the IPC diagnostic apparatus 1 acquires a diagnostic profile from a preset storage device.
It should be understood that the preset storage device may be an SD memory card, an internal hard disk, or other storage devices, which is not limited in this embodiment, and in this embodiment, an SD memory card is taken as an example for description. The diagnosis configuration file is stored in the SD memory card of the IPC diagnosis apparatus 1, and the diagnosis configuration file of the diagnosis server 2 can be synchronized in real time through the wireless network.
It can be understood that when file synchronization is needed, a file synchronization instruction can be generated and sent to the diagnosis server 2, the diagnosis server 2 can search the latest diagnosis configuration file based on the file synchronization instruction and send the diagnosis configuration file to the IPC diagnosis device 1, the IPC diagnosis device 1 synchronously stores the diagnosis configuration file into the SD memory card to cover the previous diagnosis configuration file, and when data of the injection molding machine needs to be acquired, the diagnosis configuration file can be directly acquired from the SD memory card. By the scheme, the diagnosis configuration file stored in the SD memory card of the IPC diagnosis device 1 can be kept in a relatively new state, and the precision of data acquisition is improved in a synchronous updating mode. Wherein, the file synchronization interval time can be set in advance, for example, file synchronization is performed once every 12 hours; the file synchronization time can also be set in advance, for example, the file synchronization is carried out at 12 points per day; the present embodiment is not limited in this regard, and other ways are possible.
And S2, the diagnosis server 2 judges whether the preset fault case knowledge base stores fault cases matched with the injection molding machine data.
It should be understood that the preset fault case knowledge base may be a database specially used for storing fault solution case data of the injection molding machine, may be a cloud database, and may also be a hard disk database, which is not limited in this embodiment. The existing fault solution cases can be recorded into a preset fault case knowledge base, associated fault codes, keywords and the like are set, and when fault detection is carried out, corresponding fault cases can be matched from the preset fault case knowledge base to serve as references.
Further, in order to improve the accuracy of matching the fault cases, the diagnosis server 2 determines whether the preset fault case knowledge base stores the fault cases matched with the data of the injection molding machine, and the method includes:
the diagnosis server 2 extracts the fault codes and the keywords from the data of the injection molding machine and judges whether the preset fault case knowledge base stores the fault cases matched with the fault codes and the keywords.
It can be understood that information such as fault codes and keywords can be extracted from the injection molding machine data, whether matched fault cases are stored in the preset fault case knowledge base or not is judged through the information such as the fault codes and the keywords, compared with the method that the fault cases are matched directly based on all the injection molding machine data, the method is simpler, more convenient and more accurate in the process of extracting the key information such as the fault codes and the keywords from the injection molding machine data for matching, and the efficiency and the accuracy of data matching are improved.
And S3, when the fault case matched with the injection molding machine data is stored in the preset fault case knowledge base, the diagnosis server 2 takes the fault case matched with the injection molding machine data as a target fault case, searches case information corresponding to the target fault case, and sends the case information to the terminal equipment 3.
It should be understood that, when a failure case matching the injection molding machine data is stored in the preset failure case knowledge base, the failure case matching the injection molding machine data may be used as a target failure case. The case data corresponding to the target fault case can be searched, information such as fault codes, controller versions and driver motors in the case data is analyzed, summarized and integrated, comparison and analysis are carried out through basic algorithms such as fault priority and motion control, so that case information is obtained, and the case information is sent to the terminal equipment 3.
And S4, the terminal device 3 displays the case information so that a technician can maintain the injection molding machine to be detected based on the displayed case information.
It can be understood that terminal device 3 can show case information, and then the technician maintains the injection molding machine to be detected based on the shown case information, in this embodiment, through carrying out automatic integration, screening and excavation on the fault and state data of the injection molding machine, which fault solution is generated and placed after statistical analysis, and the maintenance work of the injection molding machine is timely and effectively solved, and the work of the technician is simplified.
In a specific implementation, the IPC diagnostic device 1 may send a C001 instruction (an instruction to acquire data) to the injection molding machine, receive corresponding data of the injection molding machine through a C002 instruction (an instruction to return diagnostic data), and send related profile information to perform update synchronization through an R02 instruction (a profile synchronization update instruction). The IPC diagnosis device 1 sends the data of the injection molding machine to the diagnosis server 2 in real time through a B01 instruction (a diagnosis data uploading instruction), the diagnosis server 2 calls an intelligent matching algorithm to search a fault case through a B03 instruction (a matching case instruction), if the case does not exist, the diagnosis server carries out early warning on a technician, the relevant fault case is recorded through a B05 instruction (a recording case instruction), and the diagnosis server 2 pushes the matched fault case to the technician in real time through a B04 instruction (a case pushing instruction) to guide the maintenance of the injection molding machine. The whole-course data is processed in an automatic mode without the intervention of personnel.
In the embodiment, compared with the prior art that an after-sales technician needs to perform subjective analysis on fault data, consult data and contact a manufacturer technician to maintain an injection molding machine, the embodiment acquires the injection molding machine data through the IPC diagnostic device 1 and sends the injection molding machine data to the diagnostic server 2, when a fault case matched with the injection molding machine data is stored in the preset fault case knowledge base by the diagnostic server 2, the fault case is used as a target fault case and is used for searching case information corresponding to the target fault case, the case information is sent to the terminal device 3, the case information is displayed by the terminal device 3, and the after-sales technician only needs to maintain the injection molding machine to be tested based on the displayed case information, so that the difficulty of diagnosis and maintenance is reduced, and the time is also saved.
Further, a second embodiment of the IPC-based intelligent diagnosis method according to the present invention is proposed based on the first embodiment, and in this embodiment, after step S2, the method further includes:
and S5, when the fault case matched with the injection molding machine data does not exist in the preset fault case knowledge base, the diagnosis server 2 generates fault early warning information and sends the fault early warning information to the terminal equipment 3.
It should be understood that, when the diagnosis server 2 does not have a fault case matching the data of the injection molding machine in the preset fault case knowledge base, the diagnosis server 2 will issue a fault early warning to the technician, prompt the technician to analyze the problem and enter the relevant fault case in time. The fault case can contain information of problem troubleshooting steps, solving steps and the like, and service personnel are guided to solve the fault through the modes of characters, pictures, videos and the like.
It can be understood that, since the diagnosis server 2 cannot directly interact with the technician, the technician needs to interact with the diagnosis server through the terminal device 3, and the terminal device 3 may be a mobile terminal such as a mobile phone, a tablet computer, or the like, or may also be a computer, which is not limited in this embodiment.
It can be understood that the diagnosis server 2 may generate the fault early warning information in the form of characters, pictures or videos when there is no fault case matching the data of the injection molding machine in the preset fault case knowledge base, and send the fault early warning information to the terminal device 3.
And S6, the terminal device 3 displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to the fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal device 3.
It can be understood that the terminal device 3 can display the fault early warning information after receiving the fault early warning information, and a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, analyze the fault troubleshooting results, determine a solution, determine a fault case to be stored according to the fault troubleshooting results, and input the fault case to be stored into the terminal device 3.
And S7, the terminal device 3 receives the fault case to be stored input by the technician and sends the fault case to be stored to the diagnosis server 2.
It can be understood that the terminal device 3 may receive the fault case to be stored input by the technician, and send the fault case to be stored to the diagnosis server 2, and the diagnosis server 2 stores the fault case to be stored.
And S8, the diagnosis server 2 stores the fault cases to be stored in a preset fault case knowledge base.
It can be understood that the diagnosis server 2 can store the fault cases to be stored in the preset fault case knowledge base, and subsequently, when performing fault diagnosis, can match the corresponding fault cases from the preset fault case knowledge base.
In the embodiment, when a fault case matched with the data of the injection molding machine does not exist in the preset fault case knowledge base, the diagnosis server 2 generates fault early warning information and sends the fault early warning information to the terminal equipment 3; the terminal device 3 displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, inputs the fault case to be stored into the terminal device 3, the terminal device 3 receives the fault case to be stored input by the technician and sends the fault case to be stored to the diagnosis server 2, and the diagnosis server 2 stores the fault case to be stored into a preset fault case knowledge base. Therefore, when the corresponding fault case cannot be matched, fault early warning information is generated, technicians conduct fault troubleshooting based on the fault early warning information and maintain the injection molding machine, a fault case to be stored is generated and stored based on the information of the case, case storage amount in a preset fault case knowledge base is expanded and used for case matching in follow-up fault diagnosis, and efficiency and accuracy of fault diagnosis are further improved.
Compared with the prior art that an after-sales technician needs to carry out subjective analysis on fault data, consult data and contact a manufacturer technician to maintain the injection molding machine, the IPC diagnosis device 1 acquires the injection molding machine data and sends the injection molding machine data to the diagnosis server 2, when the diagnosis server 2 stores a fault case matched with the injection molding machine data in a preset fault case knowledge base, the fault case is used as a target fault case and searches case information corresponding to the target fault case, the case information is sent to the terminal device 3, the case information is displayed by the terminal device 3, and the after-sales technician only needs to maintain the injection molding machine to be tested on the basis of the displayed case information, so that the difficulty of diagnosis and maintenance is reduced, and the time is saved.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An injection molding machine intelligent diagnosis analysis system, comprising:
the IPC diagnosis equipment is connected with an EtherNet interface of the injection molding machine to be detected and used for acquiring injection molding machine data of the injection molding machine to be detected and sending the injection molding machine data to the diagnosis server;
the diagnosis server is used for judging whether a preset fault case knowledge base stores fault cases matched with the injection molding machine data or not, and when the preset fault case knowledge base stores the fault cases matched with the injection molding machine data, the fault cases matched with the injection molding machine data are used as target fault cases, case information corresponding to the target fault cases is searched, and the case information is sent to the terminal equipment;
and the terminal equipment is used for displaying the case information.
2. The intelligent diagnosis and analysis system of an injection molding machine according to claim 1, wherein the IPC diagnosis device is further configured to obtain a diagnosis configuration file, generate an injection molding machine detection instruction according to the diagnosis configuration file, and send the injection molding machine detection instruction to the injection molding machine to be detected.
3. The intelligent diagnosis and analysis system of an injection molding machine according to claim 2, wherein the IPC diagnosis device is further used for determining the diagnosis data of each controller in the injection molding machine to be detected according to the node data and generating the injection molding machine data according to the diagnosis data.
4. The intelligent diagnosis and analysis system of an injection molding machine according to claim 3, wherein the IPC diagnostic device is further configured to generate a file synchronization instruction and send the file synchronization instruction to the diagnosis server;
the diagnosis server searches a diagnosis configuration file based on the file synchronization instruction and sends the diagnosis configuration file to the IPC diagnosis equipment;
and the IPC diagnosis equipment acquires the diagnosis configuration file from the preset storage equipment.
5. The intelligent diagnosis and analysis system of an injection molding machine according to claim 1, wherein the diagnosis server is further configured to extract fault codes and keywords from the injection molding machine data, and determine whether a preset fault case knowledge base stores fault cases matching the fault codes and the keywords.
6. The intelligent diagnosis and analysis system of an injection molding machine according to claim 5, wherein the diagnosis server is further configured to generate fault early warning information and send the fault early warning information to the terminal device when a fault case matching the injection molding machine data does not exist in the preset fault case knowledge base;
the terminal equipment displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal equipment;
the terminal equipment receives the fault case to be stored input by the technical personnel and sends the fault case to be stored to the diagnosis server; and the diagnosis server stores the fault case to be stored into the preset fault case knowledge base.
7. The intelligent diagnostic analysis system of an injection molding machine according to claim 6, wherein the diagnostic analysis method of the system comprises:
s1: the IPC diagnosis equipment acquires the injection molding machine data of the injection molding machine to be detected and sends the injection molding machine data to the diagnosis server;
s2: the diagnosis server judges whether a preset fault case knowledge base stores fault cases matched with the injection molding machine data;
s3: when the preset fault case knowledge base stores fault cases matched with the injection molding machine data, the diagnosis server takes the fault cases matched with the injection molding machine data as target fault cases, searches case information corresponding to the target fault cases and sends the case information to the terminal equipment;
s4: the terminal equipment displays the case information so that a technician can maintain the injection molding machine to be detected based on the displayed case information;
s5: when the preset fault case knowledge base does not have fault cases matched with the injection molding machine data, the diagnosis server generates fault early warning information and sends the fault early warning information to the terminal equipment;
s6: the terminal equipment displays the fault early warning information so that a technician can perform fault troubleshooting on the injection molding machine to be tested based on the displayed fault early warning information, determines a solution according to a fault troubleshooting result, determines a fault case to be stored according to the fault troubleshooting result and the solution, and inputs the fault case to be stored into the terminal equipment;
s7: the terminal equipment receives the fault case to be stored input by the technician and sends the fault case to be stored to the diagnosis server;
s8: and the diagnosis server stores the fault case to be stored into the preset fault case knowledge base.
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