CN112486143A - Remote monitoring and expert diagnosis system for diesel generating set - Google Patents
Remote monitoring and expert diagnosis system for diesel generating set Download PDFInfo
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- CN112486143A CN112486143A CN202011361318.4A CN202011361318A CN112486143A CN 112486143 A CN112486143 A CN 112486143A CN 202011361318 A CN202011361318 A CN 202011361318A CN 112486143 A CN112486143 A CN 112486143A
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- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a remote monitoring and expert diagnosis system for a diesel generator set, which comprises a data acquisition end for acquiring working process state data of the diesel generator set, a data management unit for realizing data transmission, storage and processing, a monitoring end for checking the working state of the diesel generator set and an analysis and diagnosis report unit for analyzing the power supply quality and quality of the diesel generator set. The invention can be used for remote monitoring and data storage and recording of the diesel generating set, and meanwhile, the fault diagnosis expert system of the diesel generating set provides suggestions for fault judgment, thereby realizing the operation and maintenance of the diesel generating set, improving the operation safety level of the diesel generating set, reducing the operation and maintenance cost to the maximum extent, and effectively improving the unattended operation and maintenance level and the intelligent operation and maintenance level of the diesel generating set.
Description
Technical Field
The invention relates to the technical field of diesel generator set control, in particular to a remote monitoring and expert diagnosis system for a diesel generator set.
Background
With the continuous development of computer and intelligent instrument technology, the diesel generating set control system in the engineering practice field has been widely used, but these devices can only carry out real-time monitoring, though use cloud computing technology, can make high in the clouds and terminal equipment realize automatic synchronization, the user only needs to log in through the internet and can use, but when this kind of cloud service connection failure through internet with service propelling movement from high in the clouds to terminal, can cause losing of diesel generating set running state data, if diesel generating set operation breaks down this moment, the influence to the fault judgement will be caused in the loss of data.
In the use process of the diesel generating set, the dynamic property, the economical efficiency, the reliability and the safety of the diesel generating set are changed due to one or more reasons, the normal working condition is gradually or suddenly damaged, namely a fault occurs, and the diagnosis and the elimination of the fault have stronger specialty and complexity, so that the fault diagnosis expert system is established by collecting and arranging the experience knowledge of experts and applying the computer technology, and has important significance for quickly and efficiently eliminating the fault. The existing diesel generating set monitoring system cannot make preliminary judgment on the operation fault of the diesel generating set, so that the quick maintenance of the set is difficult to achieve.
Disclosure of Invention
In order to overcome the defects of the prior art, a remote monitoring and diagnosis system for a multi-data fusion diesel generator set is provided, and the remote monitoring and diagnosis system integrates monitoring, control and diagnosis. The method can effectively respond to the field terminal, and effectively solves the technical problems of simultaneous monitoring and fault prediction of multiple machines in remote monitoring.
The technical scheme adopted by the invention is a diesel generating set remote monitoring and expert diagnosis system, which comprises: the system comprises a data acquisition unit, a data processing unit and a control unit, wherein the data acquisition unit is used for acquiring real-time operation data of the diesel generating set and comprises a temperature and humidity sensor, voltage acquisition, current acquisition, rotating speed acquisition, oil pressure acquisition, oil quantity feedback of an oil tank and operation time data; the database management unit is used for receiving and storing the data of the data acquisition unit, managing the data, and sending the data to the cloud server while finishing local storage of the data; the unit control unit sends instructions through a remote end to complete the control of the start-stop, closing and opening actions of the unit; the diesel generating set fault diagnosis expert system comprises man-machine interaction, case retrieval, fault matching, feature storage, diagnosis suggestions and data maintenance, wherein the system is expressed and stored in the form of cases, and one diagnosis case is a description of one type of fault symptoms and a related diagnosis process; and the diagnosis suggestion unit is used for arranging the maintenance of the monitored diesel generator set according to the state monitoring and diagnosis result output by the diesel generator set fault diagnosis expert system.
Further, the structure of the example comprises: the system comprises a number, a comment, fault characteristics, a fault conclusion, a maintenance suggestion and a home case library, wherein the number is used for expressing different faults or is used for retrieving a comparison case; the annotation comprises failure time, a monitored object and failure characteristic description; the fault characteristics are symptom sets comprising parameters transmitted by the sensors; the fault conclusion is a conclusion set with a conclusion of one, and comprises a diagnosis conclusion; the maintenance suggestions comprise detailed maintenance schemes after faults occur; the attribution case library is used for explaining to which case library the fault belongs.
Further, the retrieval and matching of the diesel generating set fault diagnosis expert system case adopts a nearest neighbor strategy and a knowledge guiding strategy.
Further, the diesel generating set fault diagnosis expert system adopts NI LabVIEW software to compile human-computer exchange pictures, and the steps comprise login, data display, parameter design, start-stop control, data query, alarm display and report generation.
The invention has the beneficial effects that: through collecting information such as voltage, current, temperature and the like and comparing various data, the working state of the diesel generating set can be conveniently and visually detected, the condition that the power supply quality is influenced by the fault of the diesel generating set component is prevented in time, and the fault diagnosis expert system can provide suggestions for fault analysis of the diesel generating set, so that state maintenance is realized. The local and cloud storage functions of the data provide reliable data for fault diagnosis of the unit.
Drawings
FIG. 1 is a block diagram of a remote monitoring scheme of a diesel generator set.
FIG. 2 is a block diagram of an expert diagnostic system for a diesel generator set according to the present invention.
Detailed Description
The invention will be further described with reference to fig. 1 and 2, and the invention provides a novel remote monitoring system for a diesel generator set. The method comprises a data acquisition end for acquiring working process state data of the diesel generating set, a data management unit for realizing data transmission, storage and processing, a monitoring end for checking the working state of the diesel generating set and an analysis and diagnosis report unit for analyzing the power supply quality and quality of the diesel generating set. The invention can be used for remote monitoring and data storage and recording of the diesel generating set, and meanwhile, the fault diagnosis expert system of the diesel generating set provides suggestions for fault judgment, thereby realizing the operation and maintenance of the diesel generating set, improving the operation safety level of the diesel generating set, reducing the operation and maintenance cost to the maximum extent, and effectively improving the unattended operation and maintenance level and the intelligent operation and maintenance level of the diesel generating set.
The invention discloses a remote monitoring and diagnosis system for a multi-data fusion diesel generating set, which comprises the following components: the data acquisition unit, data acquisition module are including temperature and humidity sensor, voltage acquisition, current collection, rotational speed collection, oil pressure collection, oil tank oil mass feedback and operating duration data. The method is used for acquiring real-time operation data of the diesel generating set.
And the database management unit is used for receiving and storing the data of the data acquisition unit, realizing the management of the data, sending the data to the cloud server while finishing the local storage of the data, and enabling a user to check the working control state of the diesel generating set in real time through the Internet.
The unit control unit can send instructions through a remote end to complete the action control of unit start-stop, closing, opening and the like;
the fault diagnosis expert system of the diesel generating set is composed of modules of man-machine interaction, case retrieval, fault matching, feature storage, diagnosis suggestion, data maintenance and the like. The system expresses and stores in the form of case, a diagnosis case is the description of a kind of fault symptom and related diagnosis process, when a fault occurs, the problem description is input through a man-machine interface, the system searches a case library, the same or similar cases are retrieved, if the matching is complete, a diagnosis solution is directly generated, if the retrieval result is not matched with the input problem, the retrieved cases are adapted and adjusted to obtain the solution of the problem, and after the solution is completed, the case can be stored in the library as a new case for future use according to the typical degree of the problem. In the knowledge retrieval system based on case reasoning, an expression structure, a storage mode and a matching mode are key factors of reasoning efficiency and accuracy.
Aiming at the characteristics of the fault diagnosis system of the diesel generating set, the structure of the case mainly comprises the following contents: numbering, annotation, fault characteristics, fault conclusion, maintenance suggestion and attribution case library. Wherein, the number is used for expressing different faults and can also be used for searching a comparison case; the annotations include time to failure, monitored object, and failure characteristics description; the fault characteristics are a symptom set and mainly comprise parameters transmitted by various sensors; the fault conclusion is a conclusion set with a conclusion of one, and comprises various diagnosis conclusions; the repair recommendations include detailed repair solutions after the fault; the home case library is used to illustrate what case library the fault belongs to.
The most adjacent strategy calculates the weight sum according to the weight of each component of the case, then organizes retrieval according to the weight sum, the knowledge guiding strategy determines which characteristics in the case base are important in retrieval according to the existing knowledge and retrieves the matching case according to the characteristics, the retrieval and matching of the case of the fault diagnosis system adopts the mode of combining the most adjacent strategy and the knowledge guiding strategy
And the diagnosis suggestion unit reasonably arranges the maintenance of the monitored diesel generator set according to the state monitoring and diagnosis result output by the diesel generator set fault diagnosis expert system.
As shown in fig. 1, a remote monitoring scheme for a diesel generator set according to the present invention includes: 1. the local control module collects the running state parameters of the diesel generating set, the running state comprises rotating speed, output voltage, output current, frequency, oil pressure, water temperature, noise and the like, the local module is a local control system of the diesel generating set and can be connected with a set sensor, and a button and an indicator lamp are arranged locally to control the diesel generating set locally, set the parameters and transmit monitoring data to the data management unit.
2. The data management unit transmits the state data to a cloud server through a mobile network to realize local and cloud storage of the data;
3. the remote terminal accesses the cloud server through the mobile network and inquires state data;
4. according to the data obtained by the remote terminal, the analysis and fault prediction of the running state of the diesel generator set can be realized through a human-computer interface of an expert system.
5. The remote terminal can transmit the command to the local after analyzing the command through the cloud server, and operation control such as start and stop of the unit is completed.
6. The local data management module reserves a communication interface, can realize local analysis of data and avoid the problem of data loss when remote communication fails.
7. And the expert system is used for analyzing and comparing the state data of the diesel generator set and providing suggestions for maintenance of the diesel generator set. The data transfer function of the data management unit in the step 2 can communicate with the control system of the diesel generating set through the LTE DTU, and key data of the acquisition system are sent to the GPRS network. Correspondingly, the local communication module supports a DTU communication protocol, the GPRS communication module supports short message two-channel data transmission, supports data communication with multiple centers, can collect serial instruments, collection cards, PLC and the like, supports remote parameter setting and program upgrading, adopts a data reporting mode called by an upper computer, and can expand reporting modes such as timing reporting, data change reporting and the like
The GPRS module is connected with the data acquisition module through a serial port for data transmission, the GPRS module is equivalent to the serial port of the data acquisition module, the GPRS data is equivalent to the data of the data acquisition module, remote acquisition is achieved by corresponding to the acquisition of the serial port data of the data acquisition module, the serial port is called by interruption, the serial port interruption service program completes data transmission and receiving functions, various commands sent to the monitoring end by the upper computer can be received, and the data of the monitoring end can be transmitted to the upper computer.
The GPRS system can provide wireless IP connection in a wide area, a GIS/GMS integrated remote monitoring system is constructed on a GPRS service platform of a mobile company, wireless transmission of data is realized, as GPRS communication is a data packet communication network based on IP addresses, a monitoring computer host is configured with a fixed IP address, each data acquisition point adopts a GPRS module to communicate with the host, and the communication system comprises the following components:
1) the monitoring center: the APN mode is adopted to be connected with the GPRS network, and the APN dedicated line can provide higher bandwidth, so that when the number of equipment monitoring points is increased, the monitoring center can meet the requirement without capacity expansion.
2) The on-site monitoring point of the diesel generating set automatically acquires the running information of the set through a data acquisition module, the running information is transmitted through a GPRS DTU wireless data sending terminal after being processed, the data is simultaneously decoded and processed through an air interface function module in a wireless base station after being transmitted through a GSM network, and the decoded data is converted into an analog signal to be output and then enters a monitoring center.
3) GPRS mobile data transmission network: the data collected by the site monitoring point is transmitted through the GPRS wireless data network and finally transmitted to the monitoring center server, the data received by the monitoring center is processed and stored in the database, and monitoring personnel can restore and display the data through system software through a local area network or the Internet.
The GPRS system work flow is as follows:
1) after the GPRS modem is powered on, the GPRS modem is actively connected with the network management center information management server through a GPRS network according to the account number of the SIM card, and the process is automatically finished without manual setting.
2) And establishing an authentication module in the information management server, and judging the legal identity and the authentication authority according to the account password carried by the GPRS modem when the GPRS modem sends the information, so that the GPRS modem receives proper information.
3) And establishing a database on the information management server, storing the relevant information of each terminal and the GPRS modem connected with the terminal, storing and sorting the received data, and generating a corresponding report and an indication.
4) And judging the working state of the object to be monitored by analyzing the decision software module, and making a corresponding instruction for the condition.
5) And sending the related information to maintenance personnel for manual management.
The cloud server is a Scada server, the Scada system is divided into two layers, namely a client/server structure, the server is communicated with the hardware equipment to perform data processing and operation, the client can be used for man-machine interaction and can realize on-site starting and stopping and opening and closing control, and the hardware equipment is connected in a one-to-many mode by adopting the Ethernet. The SCADA server communication is divided into three parts, namely internal communication, IO device communication and communication with the outside, wherein the internal communication is configured in a subscription mode, the communication with the outside is efficient, and real-time data and historical data on the server are obtained.
The remote terminal is a terminal capable of being connected to the Internet, the Scada cloud server can be accessed through the browser, the detection state sends out an instruction, the cloud server has a data acquisition and monitoring function, and the data acquisition function means that the server receives an HTTP request according to a communication protocol uploaded by the DTU, analyzes data uploaded by the DTU, and stores and displays the data. The monitoring function has a hierarchical management function, different levels correspond to different authorities, and operators in different levels can send different commands.
Step 3 comprises
The monitoring center is realized by software: a programming platform and a central software are designed by adopting a LabVIEW graphical development platform, and the LabVIEW graphical development platform supports a multi-core processor to realize multi-thread (data acquisition and data analysis) parallel operation and improves the operation efficiency. LabVIEW can utilize WinSock to realize communication between socket sockets and the Internet. The LabVIEW library provides a Casyncsocket Socket. The server receives the software design: and (3) compiling monitoring center data receiving software by adopting NI LabVIEW programming software. The software has the main function of receiving and sending IP data packets of UDP or TCP protocol so as to realize IP protocol communication of GPRS terminal. Because the system can monitor a plurality of parameters, each thread receives and processes data independently. The monitoring center can access the internet through GPRS, broadband, ISDN and ADSL.
(II) monitoring center WEB page design
And (4) compiling a man-machine exchange picture by adopting NI LabVIEW software. The method comprises login, data display, parameter design, start-stop control, data query, alarm display, report generation and the like.
The step 7 is shown in FIG. 2 and comprises
Establishing modules of a fault diagnosis expert system:
a fault diagnosis module: the fault diagnosis is an important component of an expert system, when the expert system is constructed, a fault clue mastered by a user is searched in a man-machine conversation mode by taking simplicity and operability as targets, and the diagnosis thought of a maintenance expert is simulated to carry out reasoning so as to find out fault components and reasons. The fault diagnosis knowledge base is established by adopting an inference method for fusing examples and rules, the knowledge base is divided into an example base and a rule base, the example base records faults or cases which occur once, the rule expresses certain preconditions to deduce determined conclusion knowledge, and the conclusion is regular, and the general form of the rule is if x then y, wherein x is the precondition, and y is the conclusion.
(II) management of knowledge base:
1. and (3) knowledge inspection management: grammar check is carried out on knowledge in the knowledge base, and illegal knowledge, multi-opposite sex check and redundancy check are carried out on the knowledge in the knowledge base.
2. Storing, modifying and deleting knowledge, inputting knowledge approved by experts into knowledge base or modifying and deleting some rules with great knowledge difference
3. The knowledge base retrieval function, the working environment of the whole system is a network structure which is connected with each other, the working interfaces corresponding to the knowledge base module adopt an interactive correlation calling mode, and the knowledge bases corresponding to the working interfaces can be mutually called. The database retrieval adopts a view retrieval mode, retrieval conditions are obtained through a work interface, transmitted to a view in a parameter mode, retrieved by the view, a temporary data table of retrieval results is generated by the view, and the temporary data table is mapped to the retrieval interface, so that the retrieval results are displayed.
(III) reasoning mechanism:
the reasoning mechanism is the key of the expert system, and the problem submission has two modes
1. And man-machine interaction, wherein maintenance personnel provide information of the diesel generator set and submit the information to the system for processing.
2. And in the data driving mode, the system continuously detects data in the diesel generator set operation database, compares the data with normal data, starts an inference machine once abnormality is found, and diagnoses and infers according to the current data. And when the matching is successful, modifying the generated preliminary maintenance scheme according to the rules to adapt to the case, and when the matching is unsuccessful, starting a search algorithm, generating a preliminary fault processing scheme by using knowledge in the knowledge base, and providing the preliminary fault processing scheme for professional maintenance personnel to generate a maintenance scheme.
The invention integrates monitoring, controlling and diagnosing, can effectively respond to terminal equipment with wide distribution range, effectively solves the technical problem that diagnosis cannot be carried out in remote monitoring, and has certain advantages.
Claims (4)
1. Remote monitoring and expert diagnostic system of diesel generating set, its characterized in that: the method comprises the following steps: the system comprises a data acquisition unit, a data processing unit and a control unit, wherein the data acquisition unit is used for acquiring real-time operation data of the diesel generating set and comprises a temperature and humidity sensor, voltage acquisition, current acquisition, rotating speed acquisition, oil pressure acquisition, oil quantity feedback of an oil tank and operation time data; the database management unit is used for receiving and storing the data of the data acquisition unit, managing the data, and sending the data to the cloud server while finishing local storage of the data; the unit control unit sends instructions through a remote end to complete the control of the start-stop, closing and opening actions of the unit; the diesel generating set fault diagnosis expert system comprises man-machine interaction, case retrieval, fault matching, feature storage, diagnosis suggestions and data maintenance, wherein the system is expressed and stored in the form of cases, and one diagnosis case is a description of one type of fault symptoms and a related diagnosis process; and the diagnosis suggestion unit is used for arranging the maintenance of the monitored diesel generator set according to the state monitoring and diagnosis result output by the diesel generator set fault diagnosis expert system.
2. The remote monitoring and expert diagnosis system of a diesel generator set according to claim 1, characterized in that: the structure of the example comprises the following steps: the system comprises a number, a comment, fault characteristics, a fault conclusion, a maintenance suggestion and a home case library, wherein the number is used for expressing different faults or is used for retrieving a comparison case; the annotation comprises failure time, a monitored object and failure characteristic description; the fault characteristics are symptom sets comprising parameters transmitted by the sensors; the fault conclusion is a conclusion set with a conclusion of one, and comprises a diagnosis conclusion; the maintenance suggestions comprise detailed maintenance schemes after faults occur; the attribution case library is used for explaining to which case library the fault belongs.
3. The remote monitoring and expert diagnosis system of a diesel generator set according to claim 1, characterized in that: and the retrieval and matching of the diesel generating set fault diagnosis expert system case adopt a nearest neighbor strategy and a knowledge guide strategy.
4. The remote monitoring and expert diagnosis system of a diesel generator set according to claim 1, characterized in that: the diesel generating set fault diagnosis expert system adopts NI LabVIEW software to compile man-machine exchange pictures, and comprises login, data display, parameter design, start-stop control, data query, alarm display and report generation.
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| CN113157679A (en) * | 2021-04-21 | 2021-07-23 | 东方电气自动控制工程有限公司 | Monitoring system and method of hydraulic generator set system |
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| CN114567825A (en) * | 2022-03-01 | 2022-05-31 | 吉林省建苑设计集团有限公司 | Diesel generating set monitoring and personnel guiding system for fire fighting |
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Application publication date: 20210312 |