CN112328420A - Method, device and system for detecting equipment fault - Google Patents
Method, device and system for detecting equipment fault Download PDFInfo
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- CN112328420A CN112328420A CN202011152229.9A CN202011152229A CN112328420A CN 112328420 A CN112328420 A CN 112328420A CN 202011152229 A CN202011152229 A CN 202011152229A CN 112328420 A CN112328420 A CN 112328420A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
Abstract
The invention discloses a method, a device and a system for detecting equipment faults. The system comprises a server and an operation and maintenance terminal which are connected. Wherein the operation and maintenance terminal is connected with the detected equipment. In the server, model algorithms corresponding to various equipment states and equipment faults are configured for each equipment, and a state configuration table is formed. And the state configuration table is sent to the operation and maintenance terminal. The operation and maintenance terminal collects various operation data of each device, calculates various state data of each device by a method of executing a model algorithm according to a state configuration table, judges whether the current device has a fault or not according to each state data of the device by a method of executing the model algorithm and determines the fault level. When a fault exists, the operation and maintenance terminal firstly preliminarily analyzes possible reasons of the fault according to various operation data and state data of the equipment, and then pushes the fault data to the server and the dealer terminal.
Description
Technical Field
The invention relates to intelligent operation and maintenance management of equipment.
Background
The intelligent operation and maintenance platform relates to an operation and maintenance party, a manufacturer party and a client party. The manufacturer produces and provides equipment; the customer side purchases and uses the device; and the intelligent operation and maintenance platform provides the maintenance service used by the equipment for the client side by the operation and maintenance side. Each customer party may have purchased a number of different kinds of equipment from a number of manufacturer parties. The manufacturer may produce different kinds of equipment. When the intelligent operation and maintenance platform provides maintenance service for the equipment for the customer, various operation data of each equipment produced by each manufacturer needs to be collected, and then various states of each equipment are analyzed according to the various operation data. Obviously, the operation and maintenance party cannot know exactly which operation data are required to be collected by various devices, know exactly which state data are required to be analyzed by various devices, judge whether equipment faults exist according to the state data, and further know how to perform fault diagnosis. In this case, it is difficult for the operation and maintenance side to provide the use and maintenance of the device for the client side.
Disclosure of Invention
The problems to be solved by the invention are as follows: a platform system is constructed, and the use and maintenance of the equipment are provided for customers on the premise that an operation and maintenance party does not need to know the equipment.
In order to solve the problems, the invention adopts the following scheme:
the invention discloses a method for detecting equipment faults, which relates to a server, an operation and maintenance terminal and equipment; the equipment is connected with the operation and maintenance terminal; the operation and maintenance terminal is connected with the server; the method comprises the following steps:
SS 1: the server configures model algorithms corresponding to various equipment states for each equipment connected with the operation and maintenance terminal to form a state configuration table, and then sends the state configuration table and the corresponding model algorithms to the operation and maintenance terminal;
the state configuration table stores the corresponding relation between various equipment states of various equipment and the corresponding model algorithms;
SM 1: the operation and maintenance terminal receives the state configuration table and the corresponding model algorithm and stores the received state configuration table and the corresponding model algorithm in the operation and maintenance terminal;
SM 2: the operation and maintenance terminal receives and receives various equipment operation data of each equipment connected with the operation and maintenance terminal and stores the received equipment operation data in the operation and maintenance terminal;
SM 3: and the operation and maintenance terminal executes a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judges whether each device has a fault according to the various device state data.
Further, according to the method for detecting the equipment fault of the present invention, the operation and maintenance terminal executes the step SM3 in a timed manner.
Further, according to the method for detecting the equipment fault, the method further comprises the following steps:
SM 4: when a fault of some equipment is detected, the operation and maintenance terminal preliminarily analyzes possible reasons of the fault according to the operation data and the state data of the equipment.
Further, according to the method for detecting the equipment fault, the method further comprises the following steps:
SM 5: the operation and maintenance terminal pushes fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
The device for detecting the equipment fault comprises a configuration storage module, a data storage module and a fault detection module;
the configuration storage module is used for: receiving a state configuration table and a corresponding model algorithm sent by a server, and storing the received state configuration table and the corresponding model algorithm;
the state configuration table stores the corresponding relation between various equipment states of various equipment and the corresponding model algorithms;
the data storage module is used for: receiving various equipment operation data of each connected equipment, and storing the received equipment operation data;
the fault detection module is configured to: and executing a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judging whether each device has a fault according to the various device state data.
Furthermore, the device for detecting the equipment fault also comprises a timing driving module; the timing driving module is used for: the fault detection module is driven in a timed manner so that the fault detection module can periodically analyze whether a fault exists in the equipment.
Further, the device for detecting the equipment fault also comprises a fault diagnosis module; the fault diagnosis module is used for: when the fault detection module detects that a certain device has a fault, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the device.
Further, the device for detecting the equipment fault also comprises a fault pushing module; the fault pushing module is used for: pushing fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
The system for detecting the equipment fault comprises a server-side module configured on a server and an operation and maintenance terminal module configured on an operation and maintenance terminal; the server-side module comprises a state configuration module and a configuration issuing module; the operation and maintenance terminal module comprises a configuration storage module, a data storage module and a fault detection module;
the state configuration module is configured to: configuring model algorithms corresponding to various equipment states for each equipment connected with the operation and maintenance terminal to form a state configuration table;
the state configuration table stores the corresponding relation between various equipment states of various equipment and the corresponding model algorithms;
the configuration issuing module is used for: sending the state configuration table and the corresponding model algorithm to the operation and maintenance terminal;
the configuration storage module is used for: receiving the state configuration table and the corresponding model algorithm, and storing the received state configuration table and the corresponding model algorithm in the operation and maintenance terminal;
the data storage module is used for: receiving various equipment operation data of each equipment connected with the operation and maintenance terminal, and storing the received equipment operation data in the operation and maintenance terminal;
the fault detection module is configured to: and executing a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judging whether each device has a fault according to the various device state data.
Further, according to the system for detecting the equipment fault, the operation and maintenance terminal module further comprises a timing driving module; the timing driving module is used for: the fault detection module is driven in a timed manner so that the fault detection module can periodically analyze whether a fault exists in the equipment.
Further, according to the system for detecting the equipment fault, the operation and maintenance terminal module further comprises a fault diagnosis module; the fault diagnosis module is used for: when the fault detection module detects that a certain device has a fault, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the device.
Further, according to the system for detecting the equipment fault, the operation and maintenance terminal module further comprises a fault pushing module; the fault pushing module is used for: pushing fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
The invention has the following technical effects: according to the method, the operation and maintenance party does not need to know the equipment too much, only needs to execute the model algorithm provided by the manufacturer according to the configuration provided by the manufacturer, judges whether the equipment fault exists according to the execution result of the model algorithm, and diagnoses the equipment fault. Thereby enabling the operation and maintenance party to provide the necessary operation and maintenance service for the customer. For the client side, the client side can bring all the devices into unified maintenance management, and can entrust a third party to carry out operation and maintenance management on the devices, so that the client side can concentrate on the business rather than the devices.
Drawings
Fig. 1 is a schematic diagram of the overall structure of an embodiment of the system for detecting the equipment failure of the present invention.
In fig. 1, 1 is a server-side module, 11 is a data configuration module, 111 is a terminal configuration module, 112 is an equipment configuration module, 113 is a model algorithm module, 114 is a state configuration module, 12 is a configuration issuing module, and 13 is a failure service module; 2 is an operation and maintenance terminal module, 21 is a configuration storage module, 22 is a data storage module, 23 is an equipment operation and maintenance module, 231 is a fault detection module, 232 is a fault diagnosis module, 233 is a fault push module, and 239 is a timing driving module.
Fig. 2 is a schematic structural diagram of the intelligent operation and maintenance platform according to the present invention.
Wherein 100 is a server, 200 is an operation and maintenance terminal, 300 is a manufacturer terminal, 400 is a device, 500 is an expert terminal, and 900 is a network.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment relates to an intelligent operation and maintenance platform. The platform as shown in fig. 2 comprises a server 100, a plurality of operation and maintenance terminals 200, a plurality of manufacturer terminals 300 and a plurality of expert terminals 500. Each operation and maintenance terminal 200 and the manufacturer terminal 300 are connected to the server 100 through the network 900. The operation and maintenance terminals 200 are each connected to a plurality of devices 400 that are incorporated into the operation and maintenance management. Each operation and maintenance terminal 200 generally belongs to a different client. Each operation and maintenance terminal 200 provides operation and maintenance services for the device 400 of the corresponding client. The operation and maintenance terminal 200 receives and stores various operation data of each connected device 400, analyzes and calculates status data of each device 400 by using the stored operation data, judges whether a fault exists according to the status data, determines a fault level, preliminarily analyzes possible reasons of the fault according to the operation data and the status data, and pushes the fault data to the server 100 and the expert terminal 500. The server 100 generates an equipment troubleshooting service from the failure data. Under the condition that the fault reason is relatively determined, equipment maintenance workers can be directly assigned to maintain the fault equipment according to the equipment fault maintenance service. Under the condition that the fault reason is unknown, the expert corresponding to the expert terminal 500 performs manual diagnosis on the fault according to the fault information received by the expert terminal 500, and assigns equipment maintenance staff to maintain the fault equipment according to the equipment fault maintenance service until the fault reason is relatively determined. The operation and maintenance terminal 200 analyzes the status data of the device 400, and determines whether there is a fault and determines the fault level according to the status data by executing a model algorithm provided by the manufacturer.
The system and method for detecting the equipment fault mainly relate to interaction between the server 100 and the operation and maintenance terminal 200 in the intelligent operation and maintenance platform, and are realized by executing a program instruction set by the server 100 and the operation and maintenance terminal 200. Specifically, the system for batch device fault detection according to this embodiment, referring to fig. 1, includes a server module 1 implemented by the server 100 executing a program instruction set, and an operation and maintenance terminal module 2 implemented by the operation and maintenance terminal 200 executing the program instruction set. Obviously, the server-side module 1 is configured in the server 100, and the operation and maintenance terminal module 2 is configured in the operation and maintenance terminal 200.
As shown in fig. 1, in this embodiment, the server-side module 1 includes a data configuration module 11, a configuration issuing module 12, and a failure service module 13. The data configuration module 11 is used for configuring data. The data configured by the data configuration module 11 includes: operation and maintenance terminal information, equipment operation information, model algorithm information and state interface information. Accordingly, the data configuration module 11 is divided into: a terminal configuration module 111, a device configuration module 112, a model algorithm module 113, and a state configuration module 114.
The terminal configuration module 111 is configured to configure the operation and maintenance terminal connected to the current server, specifically, receive and persistently store the operation and maintenance terminal information. The operation and maintenance terminal information at least comprises terminal address information, a terminal identification code and a client identification code. The terminal address information is used to define a network address of the operation and maintenance terminal 200. In a case where the operation and maintenance terminal 200 is located in an intranet, the network address of the operation and maintenance terminal 200 includes address information of an intranet and extranet connection gateway. The terminal identification code is used to define a unique identification code of the operation and maintenance terminal 200. The customer identification code is used to define information of a customer corresponding to the operation and maintenance terminal 200. The client identification code may be the index number of the client or the name of the client. The server 100 generally stores the operation and maintenance terminal information in a database manner when the operation and maintenance terminal information is continuously generated.
The device configuration module 112 is configured to configure the device connected to the operation and maintenance terminal, and specifically, receive and persistently store the device operation and maintenance information. The device operation and maintenance information includes a corresponding relationship between the operation and maintenance terminal 200 and the device operation information, and at least includes a terminal identification code and the device operation information. The device operation information includes device basic information and device operation data information. The device basic information includes at least device type information, a device identification code, and device address information. The device type information is used to define the type and/or model number and/or vendor information of the device 400. The device identification code information is used to define a unique identification code for the device 400. The device address information is used to define the physical location and/or port address of the device. The device operation data information is used to define the operation data that the operation and maintenance terminal 200 needs to collect. And the operation and maintenance terminal receives the equipment operation data according to the equipment operation data information and continuously stores the equipment operation data according to the equipment operation data information. The server 100 stores the operation and maintenance information of the storage device continuously, and typically stores the operation and maintenance information in a database manner.
It should be noted that the operation and maintenance terminal information stored by the server 100 is consistent with the operation and maintenance terminal 200 actually connected to the server 100; the device operation and maintenance information stored by the server 100 is consistent with the device 400 actually connected to the operation and maintenance terminal 200. The operation and maintenance terminal information and the equipment operation and maintenance information are usually set manually. That is, in the aforementioned "receiving operation and maintenance terminal information", the operation and maintenance terminal information manually input is received; in the above-mentioned "receiving the device operation and maintenance information", the device operation and maintenance information manually input is received. It should be noted that, although the device operation information is manually input, much of the information is provided by the manufacturer of the device, for example, the device operation data information is provided by the manufacturer of the device.
The model algorithm module 113 is used to configure the model algorithm, specifically, receive the model algorithm information and store it persistently. The model algorithm information is provided by the equipment manufacturer and comprises a model algorithm program instruction set and model algorithm description information. The model algorithm program instruction set, that is, the program package of the model algorithm, is a program instruction set that can be executed by a machine, and can be written by a script language, or written by java, Python, or other languages. The model algorithm information contains the relevant model algorithms for a certain model or type of device 400. The model or type of the device 400 corresponding to these model algorithms is defined in the model algorithm device information. Model algorithms the device information is used to define the device class and device model for which the model algorithms are intended. That is, the model algorithm is specific to a particular device. Since different state data of each equipment needs to be obtained through analysis of a model algorithm, and the determination of the fault needs to be obtained through the model algorithm, the model algorithm essentially comprises a series of model algorithm interfaces corresponding to the equipment. The model algorithm interface can be realized by a function or a class method according to different languages adopted by the model algorithm writing. For example, in this embodiment, the model algorithm program instruction set is implemented in java, and is defined in java's class packages, where each such class package corresponds to a set of model algorithm interfaces of a certain model or type of device 400.
Model algorithmic interfaces fall into three categories: the first type is a failure determination interface, the second type is a status data interface, and the third type is an intermediate data interface. The fault determination interface corresponds to fault status data for a certain equipment fault of the equipment. The fault state data corresponds to a certain equipment fault and is data obtained by calculating according to a fault determination interface aiming at the equipment fault by a model algorithm. The operation and maintenance terminal 200 may determine whether the device has a fault and determine a fault level by executing the fault determination interface according to the corresponding device status data. Typically, fault status data is represented in a fault hierarchy. For example, the fault level is classified into 0 to 5; wherein a level 0 fault indicates that there is no equipment fault; the 1-5 grades indicate that equipment faults exist, but the fault grades are different. The status data interface corresponds to status data relating to the status of the device in some aspect of the device. The state data corresponds to a certain equipment state and is data obtained by calculating according to a state data interface aiming at the equipment state by a model algorithm. The operation and maintenance terminal 200 executes the status data interface according to the corresponding device operation data and/or the intermediate data to obtain status data corresponding to the corresponding device status. The intermediate data interface is used to calculate some intermediate data that is not directly related to the device status, but may need to be referenced when the operation and maintenance terminal 200 obtains status data through the execution status data interface. In addition, some intermediate data may also need to be referenced when computing other intermediate data.
The corresponding relation of the model algorithm interface related to the equipment fault and the equipment state is defined in an interface description table of the model algorithm description information. The model algorithm description information comprises a model algorithm name, model algorithm equipment information, model algorithm version information and an interface description table. The interface description table is a collection of interface description information for the model algorithm interface. The interface description information includes interface information and interface specifications. The interface information includes an interface name and an input parameter. The interface description comprises function description, interface state information, operation data required to be referred to, state data and intermediate data. Model algorithm device information defines a table of device type information to which the model algorithm can be applied. The device type information table is a collection of device type information. The device type information is type or model information of the device. The model algorithm version information includes a version number of the model algorithm. The interface state information is used for defining the equipment state corresponding to the interface or the corresponding equipment fault or the corresponding intermediate data.
In the model algorithm module 113, when receiving model algorithm information, the model algorithm program instruction set and the model algorithm description information are usually defined by files; when the model algorithm information is stored continuously, the instruction set of the model algorithm program is usually stored in a file manner, and the description information of the model algorithm is usually stored in a database manner. For example, in this embodiment, when receiving the model algorithm information, the instruction set of the model algorithm program is defined in the class file package, and the description information of the model algorithm is defined in the file in the XML format; and when the model algorithm information is stored continuously, the model algorithm program instruction set is stored in a class file packet mode, and the model algorithm description information is stored in a database mode. When the model algorithm description information is stored in a database mode, the database stores the file index of the model algorithm program instruction set corresponding to the model algorithm description information.
The model algorithm information may be received by a user input through the UI interface, or may be received by connecting the manufacturer terminal 300 and then receiving the model algorithm information transmitted from the manufacturer terminal 300.
The status configuration module 114 is used to configure the status interface information of the device, specifically, receive the status interface information and persistently store the status interface information. As described above, the model algorithm device information corresponds to a certain model algorithm. And the model algorithm device information is a collection of device type information. This means that the model algorithm can be applied to a variety of devices. There may be a staggering of the devices to which different model algorithms are applied, resulting in multiple model algorithms that may be applied for a particular device. For example, the model algorithm a is applicable to the types of devices C1, C2, C3; the model algorithm B is suitable for the types of equipment C3, C4 and C5. There may then be two applicable model algorithms a and B for a device of device type C3. That is, the model algorithm that is applied to a particular device is not unique. In addition, the device operation information stored by the device configuration module 112 does not include the device status and the device failure that the device needs to analyze. The information about the state of the device and the failure of the device to be analyzed by the device is determined by the model algorithm itself. That is, the state of the equipment and the failure of the equipment result from the extent to which the model algorithm can analyze. In particular, the model algorithm itself also has a problem of version. The types of equipment to which different versions of the model algorithm are applied obviously overlap, and the degree to which the status of equipment and the failure of equipment can be analyzed obviously differs. On the other hand, the operation and maintenance terminal 200 executes the model algorithm and pays the corresponding copyright usage fee to the producer. Because different versions of the model algorithm can analyze different data, different copyright royalties need to be paid. All of the above reasons require that the device cannot automatically specify a particular model algorithm, requiring manual configuration. The aforementioned "receiving the status interface information of the device" is to receive the manually configured status interface information. The state interface information defines a correspondence between device state equipment faults and model algorithm interfaces. The aforementioned state configuration table is a collection of state interface information.
The configuration issuing module 12 is configured to send configuration data corresponding to the operation and maintenance terminal. The configuration data corresponding to the operation and maintenance terminal comprises equipment operation information, model algorithm information and state interface information. Namely, the device configuration module, the model algorithm module and the state configuration module store the configuration data related to the operation and maintenance terminal. It should be noted that the model algorithm program instruction set in the model algorithm information may have a large data volume, and may be transmitted to the operation and maintenance terminal in a breakpoint continuous transmission manner.
As shown in fig. 1, the operation and maintenance terminal module 2 includes a configuration storage module 21, a data storage module 23, and an equipment operation and maintenance module 23. The configuration storage module 21 is configured to receive and store configuration data sent by the server 100 through the configuration issuing module 12, that is, the configuration data is the aforementioned device operation information, model algorithm information, and state interface information. The data storage module 23 is used for receiving and storing the device operation data sent by the device 400. The data storage module 23 receives the device operation data according to the device operation data information in the device operation information, and stores the device operation data according to the device operation data information in the device operation information. The equipment operation and maintenance module 23 includes a fault detection module 231, a fault diagnosis module 232, and a fault pushing module 233. The fault detection module 231 is connected with a timing driving module 239 and is driven by the timing driving module 239 at a fixed time, so that the fault detection module 231 can detect whether faults exist in each device at a fixed time. In the present invention, the timing means a predetermined time interval. The timing interval of the timing driving module 239 may be 30 minutes, or 1 hour, or 6 hours, or 24 hours, etc. The timing drive module 239 timing interval may also depend on the time at which the fault detection module 231 executes the model algorithm.
The fault detection module 231 detects whether a fault exists in the equipment by executing a model algorithm, and the specific steps are as follows:
firstly, extracting the equipment state of each equipment and the model algorithm interface required to be executed by equipment failure according to a state configuration table, and then sequencing each model algorithm interface required to be executed by the same equipment according to the calling relationship among the model algorithm interfaces to obtain a sequenced model algorithm interface queue, so that the called model algorithm interfaces are arranged before calling the called model algorithm interfaces. And then packing the ordered model algorithm interface queues into a program instruction set so as to form a summary interface of the model algorithm. The fault detection module 231 calls the summary interface of the model algorithm, so that the operation and maintenance terminal 200 executes each model algorithm interface according to the sorted model algorithm interface queue. Obviously, since the model algorithm interface required to be executed by the faulty device depends on the model algorithm interface required to be executed by the device status, after the above-mentioned sequencing, the fault detection module 231 first executes the model algorithm interface corresponding to the device status, and then executes the model algorithm interface corresponding to the corresponding device fault. And executing a model algorithm interface corresponding to the equipment state to obtain equipment state data. And when the model algorithm interface corresponding to the equipment fault is executed, some equipment state data are used as input parameters. And executing the model algorithm interface corresponding to the equipment fault to obtain equipment fault state data corresponding to the equipment fault. The equipment fault status data is also the aforementioned fault level. When the calculated fault level is 0, indicating that the corresponding equipment fault does not exist; and when the calculated fault level is not 0, indicating that the corresponding equipment fault exists.
The fault diagnosis module 232 is configured to: when the fault detection module detects that a certain device has a fault, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the device. Here, "a failure is detected in a certain device" means that the failure level obtained in the foregoing is not 0.
After the failure diagnosis module 232 preliminarily analyzes and obtains the possible causes of the failure, the device information of the failure device, the operation data and the state data of the failure device, the failure state data, and the possible causes of the failure obtained by the preliminary analysis are combined into the failure data. The fault data is pushed to the server 100 and the expert terminal 500 through the fault pushing module 233. After the fault service module of the server 100 receives the fault data sent by the operation and maintenance terminal 200, the equipment fault maintenance service is generated according to the fault data.
The fault diagnosis made by the fault diagnosis module 232 is a preliminary diagnosis, and the possible cause of the fault is found through comparison of some expert experience data. These possible causes are of a large range and often require further manual diagnosis by an expert. The specific operation of the expert for manual diagnosis according to the fault data received by the expert terminal 500 is not the scope discussed in the present invention, and the detailed description thereof is omitted.
The method for detecting the equipment fault comprises the following steps:
the method comprises the steps of first, initial configuration. In the initial configuration step, the server 100 first configures data, where the configured data includes: the operation and maintenance terminal information, the device operation information, the model algorithm information, and the state interface information, and then the configured data is sent to the operation and maintenance terminal 200. And the operation and maintenance terminal 200 receives the configuration data and stores the configuration data.
And secondly, acquiring data. In the data acquisition step, the operation and maintenance terminal 200 receives the operation data of the device according to the device operation data information in the stored device operation information. The operational data of the device is stored as time-sequenced device operational data according to the time sequence it receives.
And thirdly, fault detection initialization. In the fault detection initialization step, the operation and maintenance terminal 200 extracts the device states of each device and the model algorithm interfaces required to be executed by the device faults according to a state configuration table composed of state interface information, and then sorts the model algorithm interfaces required to be executed by the same device according to the calling relationship among the model algorithm interfaces to obtain a sorted model algorithm interface queue, so that the called model algorithm interfaces are arranged before the called model algorithm interfaces are called. And then packing the ordered model algorithm interface queues into a program instruction set so as to form a summary interface of the model algorithm.
Fourthly, equipment operation and maintenance. In the device operation and maintenance step, the operation and maintenance terminal 200 performs the fault detection step in a timed manner. In the fault detection step, the operation and maintenance terminal 200 executes model algorithm calculation of the device state and model algorithm calculation of the device fault by calling a summary interface of the model algorithm. Executing a model algorithm filled in the equipment to calculate to obtain various equipment state data of each equipment; and executing a model algorithm of equipment faults to calculate whether each equipment has faults. When the model algorithm filled in the equipment is executed, the equipment operation data of each equipment in time sequence is used as input; the model algorithm for the plant fault is executed with various plant status data for each plant as input. The obtained device state data and fault state data are stored in the operation and maintenance terminal 200 in a device-distributing time-series manner.
And fifthly, fault diagnosis. When the fault of the equipment is detected, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the fault equipment.
And sixthly, pushing the fault. And forming fault data by the equipment information of the fault equipment, the operation data and the state data of the fault equipment, the fault state data and the possible fault reasons obtained by preliminary analysis. And then pushes the fault data to the server 100 and the specialist terminal 500.
Claims (12)
1. A method for detecting equipment faults is characterized in that the method relates to a server, an operation and maintenance terminal and equipment; the equipment is connected with the operation and maintenance terminal; the operation and maintenance terminal is connected with the server; the method comprises the following steps:
SS 1: the server configures various equipment states and model algorithms corresponding to equipment faults for each equipment connected with the operation and maintenance terminal to form a state configuration table, and then sends the state configuration table and the corresponding model algorithms to the operation and maintenance terminal;
the state configuration table stores the corresponding relation among various equipment states, equipment faults and corresponding model algorithms of the equipment;
SM 1: the operation and maintenance terminal receives the state configuration table and the corresponding model algorithm and stores the received state configuration table and the corresponding model algorithm in the operation and maintenance terminal;
SM 2: the operation and maintenance terminal receives and receives various equipment operation data of each equipment connected with the operation and maintenance terminal and stores the received equipment operation data in the operation and maintenance terminal;
SM 3: and the operation and maintenance terminal executes a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judges whether each device has a fault according to the various device state data.
2. The method for batch equipment fault detection according to claim 1, wherein the operation and maintenance terminal performs the step SM3 in a timed manner.
3. The method for batch equipment fault detection according to claim 1 or 2, characterized in that the method further comprises the steps of:
SM 4: when a fault of some equipment is detected, the operation and maintenance terminal preliminarily analyzes possible reasons of the fault according to the operation data and the state data of the equipment.
4. The method of batch equipment fault detection as claimed in claim 3, wherein the method further comprises the steps of:
SM 5: the operation and maintenance terminal pushes fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
5. The device for detecting the equipment fault is characterized by comprising a configuration storage module, a data storage module and a fault detection module;
the configuration storage module is used for: receiving a state configuration table and a corresponding model algorithm sent by a server, and storing the received state configuration table and the corresponding model algorithm;
the state configuration table stores the corresponding relation of various equipment states of various equipment, various equipment faults and corresponding model algorithms;
the data storage module is used for: receiving various equipment operation data of each connected equipment, and storing the received equipment operation data;
the fault detection module is configured to: and executing a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judging whether each device has a fault according to the various device state data.
6. The apparatus for device fault detection as recited in claim 5, further comprising a timing drive module; the timing driving module is used for: the fault detection module is driven in a timed manner so that the fault detection module can periodically analyze whether a fault exists in the equipment.
7. The apparatus for device failure detection according to claim 5 or 6, further comprising a failure diagnosis module; the fault diagnosis module is used for: when the fault detection module detects that a certain device has a fault, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the device.
8. The apparatus for device failure detection as in claim 7, further comprising a failure push module; the fault pushing module is used for: pushing fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
9. The system for detecting the equipment fault is characterized by comprising a server-side module configured on a server and an operation and maintenance terminal module configured on an operation and maintenance terminal; the server-side module comprises a state configuration module and a configuration issuing module; the operation and maintenance terminal module comprises a configuration storage module, a data storage module and a fault detection module;
the state configuration module is configured to: configuring various equipment states and model algorithms corresponding to equipment faults for each equipment connected with the operation and maintenance terminal to form a state configuration table;
the state configuration table stores the corresponding relation between various equipment state equipment faults of each equipment and the corresponding model algorithm;
the configuration issuing module is used for: sending the state configuration table and the corresponding model algorithm to the operation and maintenance terminal;
the configuration storage module is used for: receiving the state configuration table and the corresponding model algorithm, and storing the received state configuration table and the corresponding model algorithm in the operation and maintenance terminal;
the data storage module is used for: receiving various equipment operation data of each equipment connected with the operation and maintenance terminal, and storing the received equipment operation data in the operation and maintenance terminal;
the fault detection module is configured to: and executing a corresponding model algorithm according to the stored running data and the state configuration table of each device to obtain various device state data of each device, and judging whether each device has a fault according to the various device state data.
10. The system for device fault detection according to claim 9, wherein the operation and maintenance terminal module further comprises a timing driving module; the timing driving module is used for: the fault detection module is driven in a timed manner so that the fault detection module can periodically analyze whether a fault exists in the equipment.
11. The system for equipment fault detection according to claim 9 or 10, wherein the operation and maintenance terminal module further comprises a fault diagnosis module; the fault diagnosis module is used for: when the fault detection module detects that a certain device has a fault, the possible reason of the fault is preliminarily analyzed according to the operation data and the state data of the device.
12. The system for equipment failure detection of claim 11, wherein the operation and maintenance terminal module further comprises a failure push module; the fault pushing module is used for: pushing fault data to the server and the expert terminal; the fault data comprises equipment information of fault equipment, operation data and state data of the fault equipment, fault state data and possible reasons of faults obtained through preliminary analysis.
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| CN202011152229.9A CN112328420A (en) | 2020-10-26 | 2020-10-26 | Method, device and system for detecting equipment fault |
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