Intelligent operation and maintenance system for sintering equipment

Abstract

An intelligent operation and maintenance system for sintering equipment belongs to the field of equipment monitoring and diagnosis. Comprising an information acquisition terminal, a signal acquisition server, a data analysis station, an equipment remote operation and maintenance system and a remote terminal which are connected in sequence, aiming at the rotating equipment in a sintering section, a three-electricity integrated technology is adopted, according to operation parameters of online equipment, working condition signals are combined, and early warning is carried out through combination of a threshold value alarm rule and change rate early warning, so that comprehensive online monitoring and intelligent operation and maintenance of the state of the rotating equipment of the sintering raw material machine are realized, and abnormal conditions of the equipment are found timely and accurately; automatically diagnosing the type of the abnormality; and if the operation condition of the rotating equipment is abnormal, abnormal data are automatically sent to a remote terminal, a user is timely notified, and a basis for rapidly positioning an abnormal point is provided for maintainers. The method is especially suitable for intelligent operation and maintenance of sintering raw material equipment.

Description

Technical Field

[0001] The present invention belongs to the field of equipment monitoring and diagnosis, and particularly relates to an intelligent operation and maintenance system for sintering equipment. Background Art

[0002] Sintering is a process in which iron ore powder, solvent and fuel are uniformly mixed after adding appropriate moisture, and with the high temperature generated by the fuel, the components in the sintering material are melted or softened, chemical and physical reactions occur and a certain amount of liquid phase is formed, and they are bonded to each other in blocks after cooling.

[0003] The mixer and belt conveyor are key rotating equipment for sintering raw materials. The rotating equipment mainly includes: supporting wheels (also known as drag wheels), motors, speed reducers, hydraulic stations, drums, belts and other equipment, which are responsible for uniformly mixing iron ore powder, solvent and fuel after adding appropriate moisture, and are key links in the sintering system. The health level and operating condition directly affect the safe operation of the entire power system.

[0004] At present, when equipment personnel regularly check the operating conditions of rotating equipment, they basically use the method of manual regular inspection to judge the operating conditions of rotating equipment. The accuracy is low, the workload is large, it is not conducive to long-term equipment management, and it is impossible to timely discover the hidden dangers and defects existing in the equipment, which is also contrary to the advocated intelligent management of equipment.

[0005] Due to the complexity of rotating equipment, numerous key characteristic quantities, and unclear fault characteristics, it is very difficult to accurately and real-time judge the operating state, fault type and potential hidden dangers of rotating equipment.

[0006] At present, the online monitoring and alarm system for the state of sintering raw material equipment is a technical development trend.

[0007] The invention patent with the authorization announcement date of September 26, 2017 and the authorization announcement number of CN 105314365 B discloses a "method for online monitoring of the quality change of flux", including: the control system issues a start command to make the screw feeder operate; the slide valve opens, and the materials in the silo start to be cut out; the rotation speed of the screw feeder is detected by a speed sensor and stored; when the cut-out materials reach the weighing sensor, the instantaneous conveying amount Q of the materials is read out; the theoretical instantaneous conveying amount Qo is calculated according to the rotation speed of the screw feeder when the materials are cut out read from the memory; the deviation is calculated according to Q and Qo; it is judged whether the deviation change is within the set range: if not, central control operation adjustment is carried out; if so, no central control operation adjustment is made. This technical solution can automatically monitor the quality change of the flux online, facilitating the operator in the central control room far from the site to timely discover the quality change and take operation adjustment, reducing the fluctuation of sintering quality, achieving sintering effects such as a full BTP graph, relatively uniform material layer temperature, and good air permeability, so as to improve the sintering yield and reduce the process energy consumption. However, this technical solution focuses on the online monitoring and adjustment of process parameters and does not involve the online monitoring, alarm, etc. of the operating status of sintering raw material equipment.

[0008] The utility model patent with the authorization announcement date of April 25, 2023 and the authorization announcement number of CN 218916686 U discloses a "mobile inspection online monitoring system for the air leakage rate of a sintering machine". It online detects the flue gas component data of the sintering machine through an inspection method, combines the online detection data of the temperature and dynamic pressure of the sintering machine, and calculates the air leakage rate on each side of each air box of the sintering machine, realizing the periodic online monitoring of the air leakage rate of the sintering machine. This technical solution greatly reduces the usage amount of online detection instruments for flue gas component data, reduces costs and maintenance volume; realizes the online monitoring of the air leakage rate of the sintering machine, ensuring timely acquisition of accurate information on the air leakage rate of the sintering machine; improves the automatic management level of the air leakage treatment of the sintering machine. However, this technical solution only focuses on the online monitoring of the process production process based on a single process index of the air leakage rate and cannot comprehensively online monitor and alarm the operating status and fault types of the entire sintering raw material equipment (especially rotating equipment).

[0009] Currently, there is no integrated online monitoring and intelligent operation and maintenance system for the state of rotating equipment of sintering raw material machines that combines process signals in China. Summary of the Invention

[0010] The technical problem to be solved by the present invention is to provide an intelligent operation and maintenance system for sintering equipment. By combining the detection and monitoring of process signals and adopting the three-electricity integration technology, it realizes the comprehensive online monitoring and intelligent operation and maintenance of the state of rotating equipment of sintering raw material machines, can predict typical electrical faults and mechanical faults of rotating equipment during operation, reduce the damage rate of equipment through the equipment intelligent operation and maintenance system, reduce the operating cost, and improve the reliability and operating efficiency of equipment operation.

[0011] The technical solution of the present invention is: to provide an intelligent operation and maintenance system for sintering equipment, characterized in that:

[0012] The intelligent operation and maintenance system for sintering equipment includes an information collection terminal, a signal collection server, a data analysis station, an equipment remote operation and maintenance system, and a remote terminal;

[0013] The information collection terminal includes a sintering equipment system collection terminal arranged at the site of rotating equipment, which is used to collect and obtain the process operation and monitoring data of the sintering raw material rotating equipment, store the collected information in the local database, and transmit it to the signal collection server through communication;

[0014] The signal collection server is interconnected through communication networks, and is responsible for the interface development and protocol configuration of the system including the motor, reducer temperature and vibration collection unit, supporting roller temperature collection unit, idler audio collection unit, and load current collection unit, to realize the monitoring and collection function of the operation data of the sintering raw material equipment;

[0015] The data analysis station is used to realize the system functions including data communication management, data storage management, and comprehensive diagnosis of equipment status information;

[0016] The equipment remote operation and maintenance system is used to realize functions including equipment tree configuration, basic information configuration, centralized status display, alarm event management, user permission configuration, management of interface function modules, and application functions, to complete the application function of equipment status visualization management

[0017] The remote terminal is used to issue a maintenance order when an abnormal condition occurs during the operation of the rotating equipment, and push the abnormality to a professional operation and maintenance team; the operation and maintenance team conducts on-site maintenance to quickly solve the equipment operation and maintenance problems;

[0018] The intelligent operation and maintenance system for sintering equipment adopts the three-electricity integration technology for the rotating equipment in the sintering section. According to the operation parameters of the on-line equipment and combined with the working condition signals, early warnings are carried out through the combination of threshold alarm rules and change rate early warnings, to realize the comprehensive on-line monitoring and intelligent operation and maintenance of the state of the sintering raw material machine rotating equipment, and automatically diagnose the type of abnormality; if there is an abnormality in the operation condition of the rotating equipment, the abnormal data will be automatically sent to the remote terminal to notify the user in time, and at the same time provide a basis for quickly positioning the abnormal point for maintenance personnel, which is especially suitable for the intelligent operation and maintenance of sintering raw material equipment. Specifically, the operation parameters of the on-line equipment at least include the vibration, temperature, audio, and current operation parameters of the on-line equipment.

[0019] Specifically, the information collection terminal includes multiple measuring points arranged at the installation sites of each equipment.

[0020] Furthermore, the measuring points at the installation sites of each device obtain the process and monitoring data of the sintering raw material rotating equipment through various acquisition methods including wired serial port RS485, TCP / IP, or wireless; the arrangement locations of the measuring points include the drive motors and speed reducers of each device.

[0021] Furthermore, the basic principles for configuring the measuring points are as follows:

[0022] 1) One vibration measuring point is arranged at the position of one bearing housing;

[0023] 2) Two temperature measuring points are arranged at the head and tail bearing parts of the mixer idler wheels;

[0024] 3) The audio optical fiber of the belt conveyor idler is deployed along the belt truss;

[0025] 4) The motor current is read through the power distribution system;

[0026] 5) The hydraulic process quantity data is read through the control system, and the hydraulic process quantity data at least includes the oil level and oil temperature.

[0027] Specifically, the signal acquisition server provides overall management and control of the monitoring data; the signal acquisition server monitors the real-time process of data transmission through the communication link, and tracks the status of the communication process; for the abnormal monitoring data and the long-term non-responsive path, it forms a communication fault warning and reports it to ensure the stability and security of the data interface of the analysis system.

[0028] Furthermore, the data analysis station can achieve the following functions;

[0029] Data communication: Provide the parsing function of different types of data to achieve automatic parsing of different types of data; and merge the data to the specified measuring points of the corresponding device to complete the automatic association between the measuring points and the data; at the same time, perform various numerical calculations on the data that needs to be further processed to extract the characteristic quantities required for analysis;

[0030] Data storage: Manage real-time storage, temporary storage, and persistent storage of data according to the data type;

[0031] Comprehensive diagnosis of equipment status information: Calculate various data characteristic quantities for the acquired original data, and use the diagnostic analysis rules to judge and analyze the status information of the transformer.

[0032] Furthermore, the temporary storage includes storing original analysis data not exceeding one month according to professional needs; for real-time data that needs to be used frequently, it is stored in a real-time database including Redis; for various associated data information including diagnostic results and collected quantitative values, it is stored in a system relational database including Postgresql and Mysql; for various collected status data, including data such as current characteristic values and electrical signals, it is stored in the Hbase database.

[0033] Specifically, the device remote operation and maintenance system at least includes a device tree configuration, a basic information configuration, a status centralized display, an alarm event management, a user permission configuration, and an interface function module to complete the device status visualization management application function.

[0034] Furthermore, the functions of the device remote operation and maintenance system include:

[0035] Device tree management and basic information configuration: including device hierarchy management, device attribute management, device measurement point management, detection parameter management, and device document management;

[0036] Status centralized display: Real-time data monitoring provides users with a device area or device real-time collected data display page, and real-time displays the monitored device status, quantity statistics, and warning information;

[0037] Alarm event management: Provides an alarm setting tool to set the device attribution and statistical rules of the alarm, so that the transmission, display, push, and final evaluation processes after the alarm is generated form a complete life cycle loop;

[0038] User and permission management: including basic management functions such as user addition, modification, and deletion; permission management divides system users into different roles, allows users to customize roles, and defines page browsing and operation permissions according to different roles;

[0039] Data analysis function: Provides users with various analysis tools based on the collected data. Through the analysis tools, users can analyze the collected numerical data and signal data to assist users in judging the device status;

[0040] Interface function: Reserves and designs a compatible and expandable function module, and the data can be called and read and written in real time by other device management systems through the standard communication protocol interface of TCP / IP.

[0041] Furthermore, the data analysis function is divided into two categories: numerical analysis and signal analysis;

[0042] Numerical analysis mainly analyzes the changing trends of numerical values, including single-index trends, multi-index trends, and index comparisons between different devices; users can conduct operational analysis and diagnosis of devices by comparing the index trends between different devices.

[0043] Specifically, the data analysis station includes a diagnostic analysis rule determination unit; the diagnostic analysis rule determination unit has the following functions:

[0044] 1) Threshold warning:

[0045] Set multi-level implicit fixed thresholds for all alarm indicators; based on these thresholds, monitor the operation monitoring data indicators of rotating equipment in real time; considering the volatility of data, set the duration or number of times to avoid false alarms of interference signals; set implicit fixed thresholds according to the attributes of different types of equipment and the characteristics of different alarm indicators.

[0046] 2) Threshold calculation and real-time warning model:

[0047] Starting from the operation acquisition data in normal times, use the mean and variance data to formulate abnormal diagnosis criteria.

[0048] 3) Warning based on the change rate:

[0049] Adopt the variable moving average method to correct the original time series data, so as to eliminate the influence of seasonal variations and individual irregular variations on the overall data.

[0050] Specifically, the alarm indicators at least include the vibration value, temperature value, or current value of rotating equipment.

[0051] Furthermore, the setting basis of the implicit fixed threshold includes: the experience of diagnostic experts and equipment experts, historical big data statistical analysis, and national standards;

[0052] Among them, for historical big data statistical analysis, a normalization processing mode is adopted; for national standards, an appropriate reference processing mode is adopted.

[0053] Furthermore, the steps of the threshold calculation include:

[0054] a) Preprocess the abnormal points of the data by using box plot or 3σ or median absolute value method;

[0055] b) Calculate the mean μ and the mean square deviation σ;

[0056] c) Calculate the statistical threshold of the abnormal monitoring criterion.

[0057] Furthermore, when formulating the abnormal diagnosis criteria and the statistical threshold of the abnormal monitoring criterion, consider the correlation between the statistical criterion standard and the mean value, that is, th eRatio relationship with μ; generally, when the ratio of the two is greater than 1.5, the statistical threshold of the anomaly monitoring criterion is considered effective.

[0058] Compared with the prior art, the advantages of the present invention are as follows:

[0059] 1. The technical solution of the present invention combines process signals and real-time operating status detection of the rotating equipment of the sintering raw material machine to realize comprehensive online monitoring and intelligent operation and maintenance of the rotating equipment status of the sintering raw material machine, and can predict typical electrical faults and mechanical faults of the rotating equipment during operation. Through the equipment intelligent operation and maintenance system, the damage rate of the equipment is reduced, the operating cost is reduced, and the reliability and operating efficiency of the equipment operation are improved.

[0060] 2. The technical solution of the present invention adopts the three-electric integration technology and combines it with the existing equipment monitoring work to realize comprehensive online monitoring and alarm of the operating status and fault types of the entire sintering raw material equipment (especially rotating equipment).

[0061] 3. The technical solution of the present invention predicts typical electrical faults and mechanical faults of the rotating equipment during operation, provides a basis for quickly locating abnormal points for maintenance personnel, can reduce the damage rate of the equipment, reduce the equipment operating cost, and improve the reliability and operating efficiency of the equipment operation. Brief Description of the Drawings

[0062] Figure 1 It is a schematic diagram of the system composition of the present invention. Detailed Embodiment

[0063] The following further describes the present invention with reference to the drawings.

[0064] The technical solution of the present invention provides an intelligent operation and maintenance system for sintering equipment, which adopts the three-electric integration (EIC, usually referring to combining hardware systems such as instrument control systems, computer control systems, and electric control systems, establishing the same hardware platform, using the same operating system, adopting the same programming system, and executing different DCS and PLC functions) technology, combines process signals and the real-time operating status of the rotating equipment of the sintering raw materials, and realizes comprehensive online monitoring and intelligent operation and maintenance of the rotating equipment status of the sintering raw materials. It can predict typical electrical faults and mechanical faults of the rotating equipment during operation. Through the equipment intelligent operation and maintenance system, the damage rate of the equipment is reduced, the operating cost is reduced, and the reliability and operating efficiency of the equipment operation are improved.

[0065] The system mainly includes an information collection terminal and an operation and maintenance center. The operation and maintenance center includes a collection server, a data analysis station, an equipment monitoring and diagnosis platform, and a remote terminal. The system topology structure and hardware composition are shown in detail in Figure 1 as shown.

[0066] 1) Raw material equipment system acquisition terminal (U1):

[0067] Measuring point layout: drive motor, speed reducer.

[0068] The basic principle of its measuring point configuration is to arrange one vibration measuring point at the position of one bearing seat; arrange two temperature measuring points at the head and tail bearing parts of the mixer idler; deploy the audio fiber of the belt conveyor idler along the belt truss, read the motor current through the power distribution system, and read the hydraulic process quantity data (oil level, oil temperature, etc.) through the control system.

[0069] The described raw material equipment system acquisition terminal is installed on-site and obtains the process and monitoring data of the sintering raw material rotating equipment through various acquisition methods such as wired serial port RS485, TCP / IP or wireless.

[0070] The system acquisition terminal stores the collected information in the local database and transmits it to the signal acquisition server of the operation and maintenance center through communication.

[0071] 2) Signal acquisition server (U2):

[0072] The signal acquisition server is interconnected through communication networks and is responsible for the interface development and protocol configuration of systems such as the motor and reducer temperature and vibration acquisition unit, idler temperature acquisition unit, idler audio acquisition unit, and load current acquisition unit, to realize the monitoring and acquisition of the operation data of the sintering raw material equipment.

[0073] Data acquisition mainly provides overall control of data, realizes the management of receiving and parsing the acquired data. This module conducts real-time monitoring of data through the communication link, tracks the status of the communication process, and forms a communication fault warning and reports it for long-term unresponsive channels for exceptions. This module ensures the stability and security of the data interface for the display and analysis system.

[0074] 3) Data analysis station (U3):

[0075] The data analysis station mainly realizes functions such as data communication management, data storage management, and comprehensive diagnosis of equipment status information.

[0076] Data communication: mainly provides the parsing function of different types of data, realizes the automatic parsing of different types of data; and merges the data to the specified measuring points of the corresponding equipment to complete the automatic association between the measuring points and the data. At the same time, various numerical calculations are performed on the data that needs to be further processed to extract the characteristic quantities required for analysis.

[0077] Data storage: mainly conducts real-time storage, temporary storage, and persistent storage management of data according to the data type.

[0078] Temporary storage is to store the original analysis data that does not exceed one month according to professional needs. For real-time data that needs to be used frequently, it is stored in real-time databases such as Redis. However, various associated data information such as various diagnostic results and collected quantitative values are stored in relational databases such as PostgreSQL and MySQL. Various collected status data, such as current characteristic values and electrical signals, are stored in the Hbase database.

[0079] Comprehensive diagnosis of equipment status information: The data analysis station calculates various data characteristic quantities for the acquired original data, and uses diagnostic analysis rules to judge and analyze to determine the status information of the transformer.

[0080] 4) Equipment remote operation and maintenance system (U4):

[0081] The equipment remote operation and maintenance system mainly realizes functional modules such as equipment tree configuration, basic information configuration, centralized status display, alarm event management, user permission configuration, and interface functions to complete the application function of equipment status visualization management. The main functions of its equipment remote operation and maintenance system are as follows:

[0082] Equipment tree management and basic information configuration: including equipment hierarchy management, equipment attribute management, equipment measuring point management, detection parameter management, and equipment document management.

[0083] Centralized status display: Real-time data monitoring provides users with a page for displaying real-time collected data of the equipment area or equipment, and real-time displays the monitored equipment status, quantity statistics, warning information, etc.

[0084] Alarm event management: The platform provides an alarm setting tool to set the equipment attribution and statistical rules of the alarm, so that the transmission, display, push, and final evaluation processes after the alarm is generated form a complete life cycle loop.

[0085] User and permission management: User management includes basic management functions such as user addition, modification, and deletion; permission management divides system users into different roles, allows users to customize roles, and defines page browsing and operation permissions according to different roles.

[0086] Data analysis function: Data analysis provides users with various data analysis tools based on the collected data. Through the analysis tools, users can analyze the collected numerical data and signal data to assist users in judging the equipment status.

[0087] Data analysis is mainly divided into two categories: numerical analysis and signal analysis. Numerical analysis mainly analyzes the change trend of numerical values, including single-index trend, multi-index trend, and index comparison between different devices. Users can compare the index trends between different devices to analyze and diagnose the operation of the equipment.

[0088] Interface Function: Reserved and designed functional modules with compatibility and scalability. Data can be provided to other device management systems through the standard communication protocol interface of TCP / IP for real-time call, read, and write.

[0089] 5) Remote Terminal (U5)

[0090] The remote terminal enables customers to view information online through a web graphical interface or a mobile client APP. The settings of the remote terminal facilitate the issuance of maintenance orders in case of anomalies and the pushing of anomalies to a professional operation and maintenance team. The team conducts on-site maintenance to help users quickly solve problems.

[0091] 6) Diagnostic Analysis Rule Judgment Unit:

[0092] 6.1) Threshold Warning:

[0093] Multi-level implicit fixed threshold settings are made for all alarm indicators (vibration, temperature, current). Based on these thresholds, the indicators are then monitored in real time. Considering the volatility of data, the duration or number of times (optional) is set to avoid false alarms from interference signals.

[0094] For the attributes of different types of equipment and the characteristics of different alarm indicators, implicit fixed thresholds are set, and there will be differences in the thresholds. The specific basis for setting the thresholds has three aspects: the experience of diagnostic experts and equipment experts, historical big data statistical analysis (normalization), and national standards (appropriately referred to);

[0095] When monitoring the indicators, adaptive thresholds are adopted. As the indicators change, while triggering exponential alarms, the indicator thresholds will be correspondingly increased.

[0096] 6.2) Threshold Calculation and Real-time Early Warning Model:

[0097] Starting from the data in the normal state, abnormal diagnosis criteria are formulated. Usually, data processing and calculation are carried out using mean and variance data, and the steps are as follows:

[0098] a) Perform outlier preprocessing on the data using box plots, 3σ, or median absolute deviation method. When the equipment is normal and in a stable state, conduct vibration measurements on it more than N (N≥2) times;

[0099] b) Calculate the mean μ and the standard deviation σ:

[0100]

[0101]

[0102] c) Calculate the statistical threshold for abnormal monitoring criterion:

[0103] th e =μ + 3σ

[0104] The warning level of the equipment is calculated by statistical methods. Based on this level, the alarm level can be deduced. Generally, the alarm level is about 3 times the warning level.

[0105] The alarm level is:

[0106] th d = 3th e = 3μ + 9σ

[0107] When the frequency reaches above 10 kHz, the alarm level is 6 times the warning level.

[0108] When formulating the statistical threshold of the above abnormal monitoring criterion, the correlation between the statistical criterion standard and the mean value should be considered, that is, the ratio relationship between th e and μ. Usually, when the ratio of the two is greater than 1.5, the statistical threshold of the abnormal monitoring criterion is considered valid.

[0109] 6.3) Early warning based on the change rate:

[0110] The variable moving average method is used to correct the original time series data, so as to eliminate the influence of seasonal variation and individual irregular variation on the overall data.

[0111] According to different load rate conditions, set the time window T of the state index value (for example: 60S). Take the average change rate (≥8%) (the change rate can be set) of the state index values of connected time windows as the judgment index, and analyze the mutation of the index with the deviation change amplitude as the judgment condition to prompt the abnormality of the equipment state.

[0112] In summary, the present technical solution provides an intelligent operation and maintenance system for sintering equipment. The system mainly includes an information collection terminal and an operation and maintenance center. Its operation and maintenance center includes a collection server, a data analysis station, an equipment remote operation and maintenance system and a remote terminal. The system mainly aims at rotating equipment. The diagnosis and analysis rule determination unit combines the vibration, temperature, audio, current and other signals of the on-line equipment with the working condition signals, and combines the threshold alarm rule and the change rate early warning to realize the accurate diagnosis and monitoring of the equipment state. If there is an abnormality in the operating condition of the rotating equipment, the abnormal data will be sent to the remote terminal.

[0113] The present technical solution can timely and accurately detect equipment abnormalities, diagnose the types of abnormalities, and notify users in time, and is especially suitable for the intelligent operation and maintenance system of sintering raw material equipment. At the same time, it provides a basis for quickly locating the abnormal points for maintenance personnel, reduces the operation and maintenance cost of the equipment, and improves the operation and maintenance efficiency.

[0114] The present invention can be widely used in the field of intelligent operation and maintenance and management of sintering equipment.

Claims

1. An intelligent operation and maintenance system for sintering equipment, characterized in that: The intelligent operation and maintenance system for sintering equipment includes an information collection terminal, a signal collection server, a data analysis station, an equipment remote operation and maintenance system, and a remote terminal; The information collection terminal includes a sintering equipment system collection terminal arranged at the site of rotating equipment, which is used to collect and obtain the process operation and monitoring data of the sintering raw material rotating equipment, store the collected information in the local database, and transmit it to the signal collection server through communication; The signal collection server is interconnected through communication networks, and is responsible for the interface development and protocol configuration of the system including the motor, reducer temperature and vibration collection unit, idler wheel temperature collection unit, idler roller audio collection unit, and load current collection unit, etc., to realize the monitoring and collection function of the operation data of sintering raw material equipment; The data analysis station is used to realize system functions including data communication management, data storage management, and comprehensive diagnosis of equipment status information; The equipment remote operation and maintenance system is used to realize functions including equipment tree configuration, basic information configuration, centralized status display, alarm event management, user permission configuration, management of interface function modules, and application functions to complete the application function of equipment status visualization management The remote terminal is used to issue a maintenance order when an abnormal situation occurs during the operation of the rotating equipment, and push the abnormality to a professional operation and maintenance team; The operation and maintenance team conducts on-site maintenance to quickly solve equipment operation and maintenance problems; The intelligent operation and maintenance system for sintering equipment adopts the three-electricity integration technology for the rotating equipment in the sintering section. According to the operation parameters of the on-line equipment and combined with the working condition signals, early warnings are carried out through the combination of threshold alarm rules and change rate early warnings, realizing the comprehensive on-line monitoring and intelligent operation and maintenance of the state of the sintering raw material machine rotating equipment, and automatically diagnosing the type of abnormality; if there is an abnormality in the operation condition of the rotating equipment, the abnormal data will be automatically sent to the remote terminal to notify the user in time, and at the same time provide a basis for quickly locating the abnormal point for maintenance personnel, which is especially suitable for the intelligent operation and maintenance of sintering raw material equipment.

2. The intelligent operation and maintenance system for sintering equipment according to claim 1, characterized in that The operation parameters of the on-line equipment at least include the vibration, temperature, audio, and current operation parameters of the on-line equipment.

3. The intelligent operation and maintenance system for sintering equipment according to claim 1, characterized in that The information collection terminal includes multiple measuring points arranged at the installation sites of each equipment.

4. The intelligent operation and maintenance system for sintering equipment according to claim 3, characterized in that The measuring points at the installation sites of each equipment obtain the process and monitoring data of the sintering raw material rotating equipment through various collection methods including wired serial port RS485, TCP / IP, or wireless; The arrangement locations of the measuring points include the drive motors and speed reducers of each equipment.

5. The intelligent operation and maintenance system for sintering equipment according to claim 3, wherein The basic principles for configuring the measuring points are as follows: 1) One vibration measuring point is arranged at the position of one bearing seat; 2) Two temperature measuring points are arranged at the head and tail bearing parts of the mixer idler wheels; 3) The audio optical fiber of the belt conveyor idler roller is deployed along the belt truss; 4) The motor current is read through the power distribution system; 5) The hydraulic process quantity data is read through the control system, and the hydraulic process quantity data at least includes the oil level and oil temperature.

6. The intelligent operation and maintenance system for a sintering device according to claim 1, wherein The signal collection server provides overall control of the monitoring data; The signal acquisition server monitors the data transmission process in real time through the communication link, tracks the communication process status, forms a communication failure warning and reports it for abnormal monitoring data and long-term unresponsive channels, ensuring the stability and security of the data interface of the analysis system.

7. The intelligent operation and maintenance system for sintering equipment according to claim 1, characterized in that The data analysis station can achieve the following functions; Data communication: Provide parsing functions for different types of data, realize automatic parsing of different types of data, merge the data to the specified measuring points of the corresponding equipment, complete the automatic association between the measuring points and the data, and perform various numerical calculations on the data that needs to be further processed to extract the characteristic quantities required for analysis. Data storage: Manage real-time storage, temporary storage and persistent storage of data according to data types. Comprehensive diagnosis of equipment status information: Calculate various data characteristic quantities for the acquired raw data, and use diagnostic analysis rules to judge and analyze the status information of the transformer.

8. The intelligent operation and maintenance system for sintering equipment according to claim 7, characterized in that The temporary storage includes storing the original analysis data not exceeding one month according to professional needs. For the real-time data that needs to be used frequently, it is stored in the real-time database including redis. For various associated data information including diagnostic results and acquisition quantitative values, it is stored in the system relational database including Postgresql and Mysql. For various acquisition status data, including data such as current characteristic values and electrical signals, it is stored in the Hbase database.

9. The intelligent operation and maintenance system for sintering equipment according to claim 1, characterized in that The device remote operation and maintenance system includes at least device tree configuration, basic information configuration, centralized status display, alarm event management, user permission configuration and interface function modules to complete the device status visualization management application function.

10. The intelligent operation and maintenance system for sintering equipment according to claim 9, characterized in that The functions of the device remote operation and maintenance system include: Device tree management and basic information configuration: including device hierarchy management, device attribute management, device measuring point management, detection parameter management, and device document management. Centralized status display: Real-time data monitoring provides users with a page for displaying real-time collected data of the device area or device, and real-time displays the monitored device status, quantity statistics and warning information. Alarm event management: Provide an alarm setting tool to set the device attribution and statistical rules of the alarm, and form a complete life cycle loop for the transmission, display, push and final evaluation processes after the alarm is generated. User and permission management: including basic management functions such as user addition, modification and deletion; permission management divides system users into different roles, allows users to customize roles, and defines page browsing and operation permissions according to different roles. Data analysis function: Provide users with various analysis tools based on the collected data. Users can analyze the collected numerical data and signal data through the analysis tools to assist users in judging the device status. Interface function: Reserve and design a compatible and extensible function module, and the data can be called and read in real time by other device management systems through the standard communication protocol interface of TCP / IP.

11. The intelligent operation and maintenance system for sintering equipment according to claim 10, characterized in that The data analysis function is divided into two categories: numerical analysis and signal analysis; Numerical analysis mainly analyzes the changing trends of numerical values, including single-index trends, multi-index trends, and index comparisons between different devices; Users can perform operation analysis and diagnosis on devices through the comparison of index trends between different devices.

12. The intelligent operation and maintenance system for sintering equipment according to claim 1, characterized in that The described data analysis station includes a diagnosis analysis rule determination unit; The diagnosis analysis rule determination unit has the following functions: 1) Threshold warning: Set multi-level implicit fixed thresholds for all alarm indicators; based on these thresholds, monitor the operation monitoring data indicators of rotating equipment in real time; considering the volatility of data, set the duration or number of times to avoid false alarms of interference signals; set implicit fixed thresholds according to the attributes of different types of equipment and the characteristics of different alarm indicators; 2) Threshold calculation and real-time warning model: Starting from the operation data collected during normal times, use the mean and variance data to formulate abnormal diagnosis criteria; 3) Warning based on the change rate: Adopt the variable moving average method to correct the original time series data, so as to eliminate the influence of seasonal variations and individual irregular variations on the overall data.

13. The intelligent operation and maintenance system for sintering equipment according to claim 12, characterized in that The described alarm indicators at least include the vibration value, temperature value or current value of rotating equipment.

14. The intelligent operation and maintenance system for sintering equipment according to claim 12, characterized in that The setting of the implicit fixed threshold is specifically based on: the experience of diagnosis experts and equipment experts, historical big data statistical analysis, and national standards; Among them, for historical big data statistical analysis, a normalized processing mode is adopted; for national standards, an appropriate reference processing mode is adopted.

15. The intelligent operation and maintenance system for sintering equipment according to claim 12, characterized in that The steps of the threshold calculation include: a) Preprocess the abnormal points of the data by using box plots or 3σ or the median absolute value method; b) Calculate the mean value μ and the mean square deviation σ; c) Calculate the statistical threshold of the abnormal monitoring criterion.

16. The intelligent operation and maintenance system for a sintering device according to claim 12, characterized in that in When formulating the abnormal diagnosis criteria and the statistical threshold of the abnormal monitoring criterion, consider the correlation between the statistical criterion standard and the mean value, that is, the ratio relationship between th e and μ; usually, when the ratio of the two is greater than 1.5, the statistical threshold of the abnormal monitoring criterion is considered valid.

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