CN110719338A - Intelligent diagnosis system based on mobile network - Google Patents
Intelligent diagnosis system based on mobile network Download PDFInfo
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- CN110719338A CN110719338A CN201911073977.5A CN201911073977A CN110719338A CN 110719338 A CN110719338 A CN 110719338A CN 201911073977 A CN201911073977 A CN 201911073977A CN 110719338 A CN110719338 A CN 110719338A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/005—Testing of electric installations on transport means
- G01R31/006—Testing of electric installations on transport means on road vehicles, e.g. automobiles or trucks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
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- Combustion & Propulsion (AREA)
- Health & Medical Sciences (AREA)
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Abstract
The invention relates to the field of intelligent diagnosis, and discloses an intelligent diagnosis system based on a mobile network, which solves the problems that the traditional remote diagnosis consumes a large amount of diagnosis time, cannot early warn in advance and has poor user experience effect; the anomaly analysis system of the Client end compares the machine module state data in the database in an index way, and when the comparison is the same, the Client end sends an alarm notification and the machine module state data to the Server end; the Server receives the alarm notification of the Client, notifies the staff to process and preliminarily diagnose, notifies the user and requests remote diagnosis if the staff diagnoses that the state data of the machine module is in serious fault, carries out remote diagnosis on the machine and obtains a diagnosis report after the user agrees, and then sends the diagnosis report to the user, so that the effects of early warning in advance, higher safety and good user experience are achieved.
Description
Technical Field
The invention relates to the field of intelligent diagnosis, in particular to an intelligent diagnosis system based on a mobile network.
Background
In recent years, with the increasing intervention of modern electronic control technology into the machine industry, the structure of the machine becomes more and more complex, the automation integration level of mechanical equipment such as automobiles, ships and the like is higher and higher, the maintenance threshold of maintenance personnel is greatly improved, and the maintenance cost is further increased.
Taking an automobile as an example, when the automobile is repaired and has a fault, an automobile research and development personnel is often required to arrive at the site for diagnosis, so that some remote diagnosis systems are available, and the general diagnosis process is as follows: when the automobile breaks down, the automobile owner contacts the 4S shop to report the repair after finding the problem, the 4S shop remotely connects the automobile, and the automobile data log is captured for analysis and diagnosis. Such diagnosis consumes a large amount of diagnosis time, can not early warn in advance, and the car owner experiences the effect poorly.
Disclosure of Invention
The invention aims to provide an intelligent diagnosis system based on a mobile network, which can perform early warning and preliminary diagnosis in advance and has higher safety.
The technical purpose of the invention is realized by the following technical scheme: an intelligent diagnosis system based on mobile network comprises a Client end and a Server end which adopt instant communication protocol to connect communication;
the Client end is provided with an anomaly analysis system, the anomaly analysis system comprises a database and a plurality of machine module subsystems, historical fault data are stored in the database, and the machine module subsystems are used for collecting machine module state data; the anomaly analysis system carries out index comparison on the state data of the machine module in the database, and when the comparison is the same, the Client terminal sends an alarm notification and the state data of the machine module to the Server terminal;
the Server end receives the alarm notice of the Client end, informs workers of processing and preliminary diagnosis, informs users of requesting remote diagnosis if the workers diagnose that the state data of the machine module is in serious fault, carries out remote diagnosis on the machine and obtains a diagnosis report after the users agree, and then sends the diagnosis report to the users.
Preferably, the machine module subsystem is further operable to perform control adjustments to the machine module.
Preferably, when the result of the preliminary diagnosis of the state data of the machine module by the staff is a slight fault, a control command is issued to the subsystem of the machine module through the communication between the Server terminal and the Client terminal, and the control adjustment is carried out on the machine module.
Preferably, the instant messaging protocol includes MQTT messaging protocol.
Preferably, the Server end comprises fault grade classification of historical fault data, and workers can perform preliminary diagnosis on the state data of the machine module through the fault grade classification.
Preferably, the notification mode of the Server end to the staff and the user comprises short message notification.
Preferably, the Client terminal and the Server terminal are both operated on an operating system, and the operating system comprises a Linux operating system and an Android operating system.
Preferably, one Server terminal is connected with a plurality of Client terminals.
In conclusion, the invention has the following beneficial effects: the early warning of the fault risk can be carried out according to index comparison of the state data of the machine module in historical fault data, the early warning is carried out by a worker at a Server end, after the worker preliminarily diagnoses the fault, whether the fault exists or not is judged, the slight fault can be directly eliminated, and the problem can be directly solved without being known by a user; when serious faults exist, the user is directly requested, the user has sufficient right of knowing when the user has the serious faults, and the user is very likely to find no faults, the machine has no obvious fault behaviors and still uses the machine.
Drawings
FIG. 1 is a schematic diagram of the system architecture of the present invention;
fig. 2 is a flow chart of the present invention, which is an example of an automobile.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides an intelligent diagnosis system based on a mobile network, which includes a Client end and a Server end connected and communicated by an instant messaging protocol, wherein the Client end runs on an operating system of a machine, the Server end runs on an operating system of a maintenance station, and the operating systems that the Client end and the Server end can run include but are not limited to a Linux operating system and an Android operating system.
The Client end is provided with an anomaly analysis system which comprises a database, a plurality of machine module subsystems and the like; historical fault data are stored in the database and used as an early warning judgment basis for judging whether the machine module is likely to have faults or not;
the machine module subsystem is used for collecting the state data of the machine module and controlling and adjusting the machine module, is connected with the machine module and is used for collecting the state data of each machine module in real time, and also comprises a controller for controlling and adjusting specific components of the machine module;
when the abnormity analysis system works, the machine module state data collected by the machine module subsystem is subjected to index comparison in the database, if the comparison is the same, the machine module possibly fails, and at the moment, the Client terminal sends an alarm notification and the machine module state data to the Server terminal.
The Server terminal receives the alarm notification of the Client terminal, informs workers of processing and preliminary diagnosis, the workers can analyze whether the machine has a fault according to the state data of the machine module, and if the machine has no fault after analysis, the machine does not need to be processed;
if the result of the preliminary diagnosis of the state data of the machine module by the staff is a slight fault, a control command is sent to a subsystem of the machine module through the communication between the Server terminal and the Client terminal, and the machine module is controlled and adjusted to eliminate the slight fault;
if the working personnel diagnose that the machine module state data is in serious fault, the working personnel inform the user and request remote diagnosis, after the user agrees, the machine is remotely diagnosed, a diagnosis report is obtained, and then the diagnosis report is sent to the user.
The invention can carry out the early warning of the fault risk by indexing and comparing the machine module state data in the historical fault data, and the early warning object is the staff at the Server end, after the staff primarily diagnoses, whether the fault exists is judged, the slight fault can be directly eliminated without being known by the user, and the problem can be directly solved; when serious faults exist, the user is directly requested, the user has sufficient right of knowing when the user has the serious faults, and the user is very likely to find no faults, the machine has no obvious fault behaviors and still uses the machine, under the condition, the user can be warned, the user is ready for maintenance and can be temporarily stopped or used with caution, the safety of the user is greatly improved, remote diagnosis is adopted for further diagnosis, and a diagnosis report is informed to the user, so that the user can conveniently process the diagnosis report;
particularly, when the machine is always under the monitoring of the anomaly analysis system in use, and a fault is possible, the state data of the machine module is reported, instead of diagnosing after the fault behavior of the machine occurs, the time of a user can be fully saved by calling the data, the situation that the time is long when the machine is in fault is avoided, and the user experience is better.
In addition, the distinguishing standard between the minor fault and the major fault is whether the worker can directly control the machine module through the online control command between the Server terminal and the Client terminal to eliminate the fault, if so, the fault is the minor fault, and if not, the fault is the major fault.
It should be noted that the intelligent control of the present invention is embodied as an anomaly analysis system, and the database of the anomaly analysis system is essentially an intelligent empirical data model, which stores historical fault data, and determines whether the machine module is likely to have a fault by comparing the collected machine module status data with the historical fault data in the database.
Specifically, the instant messaging protocol includes an MQTT messaging protocol, and MQTT may be used to implement communication between the Server and the Client.
Specifically, the Server end contains the fault level classification of historical fault data, and staff members can preliminarily diagnose the state data of the machine module through the fault level classification, can summarize the fault level classification through summarizing the historical fault data, and can conveniently diagnose the state data of the machine module by the staff members.
Specifically, the notification mode of the Server end to the staff and the user includes a short message notification, and other modes such as a telephone and the like can be adopted for notification, specifically, the notification function of the Server end to the staff and the user is realized.
Specifically, one Server end is connected with a plurality of Client ends, and can serve a plurality of machine terminals simultaneously.
For better understanding of the intelligent diagnosis system based on mobile network of the present invention, the following description will be made of the working method of the present invention by taking an automobile as an example:
as shown in fig. 2, a Client terminal is set in the automobile, a maintenance center or a remote Server of a 4S shop is used as a Server terminal, the remote Server and the Client terminal of the automobile are realized through MQTT, the Client terminal of the automobile comprises an automobile abnormality analysis system, and the automobile abnormality analysis system comprises an engine subsystem, an airbag subsystem, a transmission subsystem, an electronic steering subsystem and an automobile fault database;
in the running process of an automobile, starting an engine, an air bag, a gearbox and an electronic steering lamp, correspondingly starting an engine subsystem, an air bag subsystem, a gearbox subsystem and an electronic steering subsystem, wherein the engine subsystem, the air bag subsystem, the gearbox subsystem and the electronic steering subsystem respectively collect state data of the engine, the air bag subsystem, the gearbox and the electronic steering lamp, an abnormality analysis system judges whether a fault risk exists or not by carrying out index comparison in a database, and judges that the fault risk exists when the same data are obtained by index comparison in the database, and at the moment, a Client end of the automobile sends an alarm notice and sends corresponding state data of a machine module;
the Server end stores the state data of the machine module and simultaneously sends a short message to a worker of a maintenance center or a 4S shop, the worker primarily diagnoses the fault degree according to the state data of the machine module, if the fault degree is a slight fault, the Server end sends a control command to the machine module subsystem, and the machine module with the fault is remotely controlled and adjusted to eliminate the slight fault;
if the working personnel diagnose that the state data of the machine module is in serious fault, the working personnel inform the vehicle owner and request remote diagnosis, after the vehicle owner agrees, the vehicle is remotely diagnosed, a diagnosis report is obtained, and then the diagnosis report is sent to the user, so that the vehicle owner can know the state of the vehicle.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (8)
1. An intelligent diagnosis system based on a mobile network is characterized in that: the method comprises the steps of connecting a Client end and a Server end for communication by adopting an instant messaging protocol;
the Client end is provided with an anomaly analysis system, the anomaly analysis system comprises a database and a plurality of machine module subsystems, historical fault data are stored in the database, and the machine module subsystems are used for collecting machine module state data; the anomaly analysis system carries out index comparison on the state data of the machine module in the database, and when the comparison is the same, the Client terminal sends an alarm notification and the state data of the machine module to the Server terminal;
the Server end receives the alarm notice of the Client end, informs workers of processing and preliminary diagnosis, informs users of requesting remote diagnosis if the workers diagnose that the state data of the machine module is in serious fault, carries out remote diagnosis on the machine and obtains a diagnosis report after the users agree, and then sends the diagnosis report to the users.
2. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: the machine module subsystem can also be used to make control adjustments to the machine module.
3. The intelligent diagnosis system based on mobile network as claimed in claim 2, wherein: when the result of the preliminary diagnosis of the state data of the machine module by the staff is a slight fault, a control command is issued to the subsystem of the machine module through the communication between the Server terminal and the Client terminal, and the machine module is controlled and adjusted.
4. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: the instant messaging protocol comprises an MQTT communication protocol.
5. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: the Server end contains fault grade classification of historical fault data, and workers can perform preliminary diagnosis on the state data of the machine module through the fault grade classification.
6. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: the notification mode of the Server end to the staff and the user comprises short message notification.
7. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: the Client terminal and the Server terminal are both operated on an operating system, and the operating system comprises a Linux operating system and an Android operating system.
8. The intelligent diagnosis system based on mobile network as claimed in claim 1, wherein: one Server end is connected with a plurality of Client ends.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911073977.5A CN110719338B (en) | 2019-11-06 | 2019-11-06 | Intelligent diagnosis system based on mobile network |
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| CN201911073977.5A CN110719338B (en) | 2019-11-06 | 2019-11-06 | Intelligent diagnosis system based on mobile network |
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| CN110719338A true CN110719338A (en) | 2020-01-21 |
| CN110719338B CN110719338B (en) | 2023-03-24 |
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| CN110719338B (en) | 2023-03-24 |
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