CN110968010A - Novel non-process dust removal centralized monitoring system - Google Patents
Novel non-process dust removal centralized monitoring systemDownload PDFInfo
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- CN110968010A CN110968010ACN201911341893.5ACN201911341893ACN110968010ACN 110968010 ACN110968010 ACN 110968010ACN 201911341893 ACN201911341893 ACN 201911341893ACN 110968010 ACN110968010 ACN 110968010A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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Abstract
Description
Technical Field
The invention relates to the field of industrial monitoring, in particular to a centralized monitoring and displaying system for non-process dust removing equipment.
Background
In the environmental protection solution of the blast furnace of the iron and steel enterprise, a bag type dust collector is adopted for dust removal in many cases. However, since the bag-type dust removal system, especially the large-scale bag-type dust removal system, has dispersed equipment and a severe working environment, the dust removal system is usually monitored by means of the scada system.
The scada system is an english acronym of a super Control And Data Acquisition system, namely a Data Acquisition And monitoring Control system. The scada system is an automatic monitoring system based on a computer, has wide application field, and can be applied to a plurality of fields such as data acquisition and monitoring control and process control in the fields of electric power, metallurgy, petroleum, chemical industry, gas, railways and the like. However, in the field of dust removal in the steel industry, adverse factors such as severe operating environment and large signal interference exist, and meanwhile, the functions of the scada system are limited to equipment parameter acquisition and transmission, and acquired information cannot be processed, so that the following problems can occur when the scada system is simply deployed:
1. the monitoring system has poor expandable system and cannot be flexibly adjusted according to the increase and decrease conditions of production equipment and user requirements;
2. real-time data cannot be processed;
3. the emergency alert signal cannot be transmitted to the user in time.
Aiming at the defects, the patent provides a non-process dust removal centralized monitoring system which can further process monitoring information in the dust removal field in the steel industry on the basis of a scada system, so that the problems are solved.
Disclosure of Invention
The invention provides a novel non-process dust removal centralized monitoring system, which has the following specific scheme:
the utility model provides a novel non-technology dust removal centralized monitoring system which characterized in that, includes equipment information collector, data management module, developments show module, video monitoring module, report management module, static show module and alarm management module, wherein:
the equipment information collector is used for collecting parameter information of equipment in the system and transmitting the parameter information to the data management module;
the data management module is used for collecting, maintaining and storing all equipment parameter information in the system;
the dynamic display module is used for displaying real-time states, parameters, energy/raw material consumption and emission data of various devices in the system;
the video monitoring module is used for displaying video monitoring signals of equipment in the system;
the report management module is used for counting the data in the data management module and automatically generating a required data report according to the requirements of a user;
the static display module is used for playing pictures, videos, audios and character materials preset in the system;
and the alarm management module is used for receiving an alarm signal sent by the data management module and/or the scada system and pushing the alarm signal to a mobile phone appointed by the system.
Furthermore, the equipment information collector comprises an equipment operation parameter sensor and a recording device for recording basic information of the equipment.
Further, fan, the electrical equipment information that equipment operation parameter sensor gathered include equipment vibration data, do respectively: the data of a front shaft x phase of the fan, a front shaft y phase of the motor, a rear shaft x phase of the fan, a rear shaft y phase of the fan and a rear shaft y phase of the motor.
Further, the vibration data information of the fan and the motor equipment is updated once per second.
Further, the basic information of the equipment collected by the entry device includes information of "whether the equipment is a state management equipment" and "equipment importance level".
The method is further characterized in that after the data management module collects real-time information of the dust collector in the system, the health index of the dust collector is calculated according to equipment compression parameters, equipment running time, cloth bag service time and vibration data.
Further, the health index of the dust remover is in a percentage form, and the specific calculation method comprises the following steps:
the method for calculating the health index of the dust remover comprises the following steps:
s71: collecting parameters of a scada system;
s72: classifying and summarizing the acquired data and storing the data into an equipment operation state signal database;
s73: referring to an equipment diagnosis report database, sending data in an equipment operation state signal database into a preset fault diagnosis model and starting a diagnosis model to learn by a machine;
s74: and adjusting the parameters of the fault diagnosis model and outputting diagnosis information.
Further, the data management module can display the data change trend calculated according to the historical data and display the data change trend in the dynamic display module.
Further, the data management module calculates the data change trend in a manner that:
s91: acquiring the length of a display time slot required by a user, the display precision of the minimum time and a data value at each minimum time;
s92: and setting the current moment as t, drawing a straight line from the moment (t-1) before the current moment to the current moment, and extending the straight line to the next moment (t + 1).
Furthermore, the video monitoring module can display the real-time temperature and humidity values of the area where the video is located in real time.
Further, in the report management module, 1 part of all the operation record data is automatically generated every 4 hours and stored.
Further, in the report management module, the operation rate of the device can be calculated as follows:
operation rate (specified operation time-temporary stop time)/specified operation time
Further, after receiving the steel slag and the dust removal alarm information sent by the scada system, the alarm management module directly pushes the steel slag and the dust removal alarm information to a mobile phone App appointed by the system for rolling display.
Further, the alarm signal of the data management module comprises: motor failure, motor A phase high temperature alarm, motor B phase high temperature alarm, motor C phase high temperature alarm, motor front axle high temperature alarm, motor rear axle high temperature alarm, fan front axle high temperature alarm, fan rear axle high temperature alarm, fan front axle X vibration alarm, fan front axle Y vibration alarm, fan rear axle X vibration alarm, fan rear axle Y vibration alarm, motor front axle X vibration alarm, motor front axle Y vibration alarm, motor A phase high temperature stop alarm, motor B phase high temperature stop alarm, motor C phase high temperature stop alarm, motor front axle high temperature stop alarm, motor rear axle high temperature stop alarm, fan front axle high temperature stop alarm, fan rear axle high temperature stop alarm, fan front axle X vibration stop alarm, fan front axle Y vibration stop alarm, fan rear axle X vibration stop alarm, fan rear axle Y vibration alarm, fan rear axle temperature stop alarm, fan rear axle high temperature stop alarm, high temperature stop alarm, high temperature alarm, The method comprises the following steps of motor front shaft X vibration stop alarm, motor front shaft Y vibration stop alarm, cut-out scraper operation, cut-out scraper failure, collective scraper failure and bucket elevator failure.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a flow chart of the present invention for calculating a duster health index.
Detailed Description
The novel non-process dust removal centralized monitoring system provided by the invention can be deployed on the basis of a scada system, and can also be directly deployed on a non-process dust removal system needing centralized monitoring.
The monitoring system of the present invention is further described in detail with reference to the accompanying drawings:
in one embodiment of the invention, the centralized monitoring system is composed of an equipment information collector, a data management module, a dynamic display module, a video monitoring module, a report management module, a static display module and an alarm management module.
The equipment information collector includes two kinds, and one kind is for gathering various sensors such as temperature, position, pressure of equipment operating data, specifically includes: motor a-phase temperature, motor B-phase temperature, motor C-phase temperature, motor front axle temperature, motor rear axle temperature, fan front axle temperature, fan rear axle temperature, fan front axle X vibration, fan front axle y vibration, fan rear axle X vibration, fan rear axle y vibration, motor front axle y vibration, motor rear axle y vibration, precipitator outlet pressure, precipitator inlet pressure, precipitator outlet temperature, precipitator inlet temperature, damper opening feedback, dust concentration, tank pressure, current, wind pressure, wind volume, smoke temperature, ash storage tank high material level, ash storage tank low material level, motor operation, motor fault, motor a-phase temperature high alarm, motor B-phase temperature high alarm, motor C-phase temperature high alarm, motor front axle temperature high alarm, motor rear axle temperature high alarm, fan front axle temperature high alarm, fan rear axle temperature high alarm, motor rear axle temperature alarm, motor rear axle, The system comprises a fan front shaft X vibration alarm, a fan front shaft Y vibration alarm, a fan rear shaft X vibration alarm, a fan rear shaft Y vibration alarm, a motor front shaft X vibration alarm, a motor front shaft Y vibration alarm, a motor A phase high temperature shutdown alarm, a motor B phase high temperature shutdown alarm, a motor C phase high temperature shutdown alarm, a motor front shaft high temperature shutdown alarm, a motor rear shaft high temperature shutdown alarm, a fan front shaft high temperature shutdown alarm, a fan rear shaft high temperature shutdown alarm, the method comprises the following steps of alarming for X vibration shutdown of a front shaft of a fan, alarming for Y vibration shutdown of the front shaft of the fan, alarming for X vibration shutdown of a rear shaft of the fan, alarming for Y vibration shutdown of the rear shaft of the fan, alarming for X vibration shutdown of a front shaft of a motor, alarming for Y vibration shutdown of the front shaft of the motor, alarming for operation of a cut-out scraper, failure of a cut-out scraper, operation of a set scraper, failure of a set scraper, operation of a bucket elevator and failure of a bucket elevator. The motor A phase, the motor B phase and the motor C phase refer to three different power supply phases in three-phase power supply; the front shaft of the motor and the fan refers to the rotating shaft at the longer end, and the rear shaft refers to the rotating shaft at the shorter end.
Another kind of equipment information collector is bar code scanning rifle, through the fixed asset identification code of enterprise that pastes on the scanning rifle scanning equipment, can read and type in the basic information of this equipment, specifically includes: the method comprises the following steps of a unit to which the equipment belongs, a system name, air quantity, a filtering area, power, equipment codes, whether the equipment is managed by China, start-up and shut-down time (various overhaul time ranges of the equipment and the like need manual maintenance), equipment importance degree, scada equipment codes, system positions, position numbers, bin configuration, bin codes, bin names and equipment photos. Meanwhile, if the equipment information needs to be edited, the corresponding authority can be acquired in a system control interface and then modified, and the modification is specifically explained in a data management module.
After the data acquired by the information acquisition device is transmitted to the data management module directly in a wired or wireless transmission mode, or transmitted through data storage media such as a memory card, a U disk or an optical disk. In this embodiment, the user directly transmits real-time signals acquired by sensors installed on various devices in a wired connection manner, uses the SD card to temporarily store basic information of the devices acquired by the barcode scanning gun, and after completing device scanning, centrally imports the acquired information into the data management module.
The data management module is internally provided with an SQL database and a corresponding DBMS management system, and two functions of equipment management and data variable management are completed through the database. All the system information collected by the information collector can be added, modified, deleted, imported, exported and checked through the DBMS. When the data management module detects that the device ID recorded by the sensor or the recording device is a new ID, 1 record is automatically newly built in the device list, and the device information table is filled and processed according to the data format. When the user has a requirement for deleting the device, only the user with the administrator authority can perform the operation of deleting the device. In this embodiment, the equipment list is classified and managed according to the process units, and specifically includes: a raw material unit, a sintering unit, a coking unit, a blast furnace unit, a smelting pot unit, a lime unit and an iron-making BPO. Of the 7 units, there were 18 national dust collectors, all identified by asterisks. For each dust remover, the emission concentration of each row of filter bags in the dust remover is displayed in a bar graph mode, the particulate matter concentration and internal and external pressure data monitored by a leakage bag sensor arranged in a scada system are read, and the internal and external pressure difference is calculated. The system renders the histogram according to real-time data, when the concentration of the leaking bag is lower than a predicted value, the color of the column is set to be red, meanwhile, an alarm signal of the concentration of the leaking bag is triggered, and the alarm signal is pushed to an App of a mobile phone appointed by the system.
When the health index of the dust remover is calculated, the self-learning model adopted by the embodiment is a depth self-learning model established based on a limited Boltzmann machine. The specific implementation mode is as follows: first, reference values of N parameters are preset to form an N-dimensional vector. In this embodiment, N is 64. And when the system acquires new parameters, taking the new parameters as a second layer. The top two layers form associative memory, and the connection between the rest layers is guided and determined by generating weight values from top to bottom. In the training process, the value of the visual layer unit is mapped to the hidden layer unit, then the visual layer unit is reconstructed by the hidden layer unit, and the new visual layer units are mapped to the hidden layer unit again to obtain a new hidden layer unit.
In the data management module, the DBMS also realizes the system management function, mainly comprises user management, role management and authority management, and mainly aims at the authorization of the operation degree, the information visible range and the like which can be executed by different users to realize the classified, graded and authority-divided display of data.
The dynamic display module displays the real-time data acquired by the sensor according to the operation area, the equipment type, the data type and the like by combining the basic information of the equipment acquired by the input device. The implementation data can be displayed through icons such as tables, broken line graphs and pie charts, and the trend of the data change can be displayed. The dynamic display module mainly comprises the following functions:
energy real-time monitoring:
and (4) refreshing and selecting real-time monitoring data to be inquired according to the area, the unit, the system name and the energy category. And displaying real-time data of the electricity consumption and the gas consumption per hour by using a line graph, and displaying the accumulated energy consumption.
Energy consumption analysis:
and according to the actual collected data, counting the monthly electric energy actual performance value and the compressed air actual performance value, and calculating a daily average value to form an icon. Wherein, the electric energy daily average value is the electric energy actual performance value/current month day; the daily average value of the compressed air is the actual performance value of the compressed air/the day of the month.
Energy historical data query:
the energy historical data query can query historical data of electricity consumption and compressed air consumption in a specified time period according to areas, units, system names and energy types and form a line graph. The line graph marks a linear trend line, and the using amount condition can be visually displayed.
In this embodiment, the video cameras are classified according to the installation positions, and when the user clicks the corresponding camera name, the display interface displays the pictures acquired by the cameras in the form of avi video streams.
In this embodiment, the report management module realizes a function of automatically generating a report required by a user by reading a data variable in the database. The method specifically comprises the following steps: monthly emission statistical table, monthly power consumption statistical table of dust removal system, compressed air consumption statistical table of dust removal system, equipment operation rate statistical table (maintenance and fault time manual maintenance is filled into the system), operation data record table of dust removal system (one operation data record is automatically generated every four hours), dust removal power consumption, dust removal electricity cost, dust removal compressed air consumption, dust removal compressed air cost, company energy cost report, iron-making energy cost report, steel-making energy cost report, slag treatment energy cost report
Besides automatically generating reports, the system can also manually input data and generate corresponding reports. The method specifically comprises the following steps: energy ton steel unit consumption (manually maintaining steel yield, inputting steel yield of each area), energy ton steel standard coal (manually maintaining standard coal quantity, inputting standard coal quantity of each area), and company energy report (manually filling monthly usage of oxygen, industrial water, fire water and life water)
In the static display module, publicity characters, pictures or videos of user enterprises are stored in a preset mode, and users can display the publicity characters, pictures or videos as required. In this embodiment, the display device is a 49-inch touch screen with a resolution of 1920 x 1080.
In this embodiment, the alarm management module is directly connected to the scada system, and directly pushes the alarm signal from the scada system to an App of a mobile phone specified by the system, where an interface for pushing the alarm signal to the App of the specified mobile phone is a MobPush free interface.
The alarm signal of the scada system specifically comprises: motor failure, motor A phase high temperature alarm, motor B phase high temperature alarm, motor C phase high temperature alarm, motor front axle high temperature alarm, motor rear axle high temperature alarm, fan front axle high temperature alarm, fan rear axle high temperature alarm, fan front axle X vibration alarm, fan front axle Y vibration alarm, fan rear axle X vibration alarm, fan rear axle Y vibration alarm, motor front axle X vibration alarm, motor front axle Y vibration alarm, motor A phase high temperature stop alarm, motor B phase high temperature stop alarm, motor C phase high temperature stop alarm, motor front axle high temperature stop alarm, motor rear axle high temperature stop alarm, fan front axle high temperature stop alarm, fan rear axle high temperature stop alarm, fan front axle X vibration stop alarm, fan front axle Y vibration stop alarm, fan rear axle X vibration stop alarm, fan rear axle Y vibration alarm, fan rear axle high temperature stop alarm, fan rear axle high temperature alarm, high temperature stop alarm, high temperature alarm, high, The method comprises the following steps of motor front shaft X vibration stop alarm, motor front shaft Y vibration stop alarm, cut-out scraper operation, cut-out scraper failure, collective scraper failure and bucket elevator failure. Wherein, A, B, C phases and major and minor axes are the same as described above; the X vibration of the fan refers to the horizontal vibration, and the Y vibration refers to the vertical vibration.
The novel non-process dust removal centralized monitoring system provided by the invention is described in detail, a specific example is applied in the system to explain the principle and the implementation mode of the invention, and the description of the example is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and the content of the present specification should not be construed as a limitation to the technical solution of the present invention.
Claims (14)
1. The utility model provides a novel non-technology dust removal centralized monitoring system which characterized in that, includes equipment information collector, data management module, developments show module, video monitoring module, report management module, static show module and alarm management module, wherein:
the equipment information collector is used for collecting parameter information of equipment in the system and transmitting the parameter information to the data management module;
the data management module is used for collecting, maintaining and storing all equipment parameter information in the system;
the dynamic display module is used for displaying real-time states, parameters, energy/raw material consumption and emission data of various devices in the system;
the video monitoring module is used for displaying video monitoring signals of equipment in the system;
the report management module is used for counting the data in the data management module and automatically generating a required data report according to the requirements of a user;
the static display module is used for playing pictures, videos, audios and character materials preset in the system;
and the alarm management module is used for receiving an alarm signal sent by the data management module and/or the scada system and pushing the alarm signal to a mobile phone appointed by the system.
2. The novel non-process dust removal centralized monitoring system according to claim 1, wherein the equipment information collector comprises an equipment operation parameter sensor and a device for recording basic information of the equipment.
3. The system of claim 2, wherein the fan and motor device information collected by the device operation parameter sensor includes device vibration data, which are: the data of a front shaft x phase of the fan, a front shaft y phase of the motor, a rear shaft x phase of the fan, a rear shaft y phase of the fan and a rear shaft y phase of the motor.
4. The centralized monitoring system for non-process dust removal as set forth in claim 3, wherein the vibration data information of the fan and motor equipment is updated every second.
5. The novel non-process dust removal centralized monitoring system as claimed in claim 2, wherein the basic information of the equipment collected by the input device includes information of "whether the equipment is a national management equipment" and "equipment importance level".
6. The centralized monitoring system for non-process dust removal as set forth in claim 1, wherein the data management module calculates the health index of the dust collector according to the compression parameters of the equipment, the running time of the equipment, the usage time of the cloth bag and the vibration data after collecting the real-time information of the dust collector in the system.
7. The system of claim 6, wherein the method for calculating the health index of the dust collector comprises:
s71: collecting parameters of a scada system;
s72: classifying and summarizing the acquired data and storing the data into an equipment operation state signal database;
s73: referring to an equipment diagnosis report database, sending data in an equipment operation state signal database into a preset fault diagnosis model and starting a diagnosis model to learn by a machine;
s74: and adjusting the parameters of the fault diagnosis model and outputting diagnosis information.
8. The centralized monitoring system for non-process dust removal as set forth in claim 1, wherein the data management module is capable of displaying the trend of the calculated data from historical data and displaying it in the dynamic display module.
9. The system of claim 8, wherein the data management module calculates the trend of the data by:
s91: acquiring the length of a display time slot required by a user, the display precision of the minimum time and a data value at each minimum time;
s92: and setting the current moment as t, drawing a straight line from the moment (t-1) before the current moment to the current moment, and extending the straight line to the next moment (t + 1).
10. The system of claim 1, wherein the video monitoring module is capable of displaying real-time temperature and humidity values of the area where the video is located in real time.
11. The system of claim 1, wherein the report management module automatically generates 1 part of all the operation record data every 4 hours for storage.
12. The system of claim 1, wherein the report management module is configured to calculate the operation rate of the device as follows:
operation rate (specified operation time-temporary stop time)/specified operation time
13. The novel non-process dust removal centralized monitoring system according to claim 1, wherein the alarm management module directly pushes the steel slag and the dust removal alarm information to a mobile phone App designated by the system for rolling display after receiving the steel slag and the dust removal alarm information sent by the scada system.
14. The centralized monitoring system for non-process dust removal as set forth in claim 1, wherein the alarm signal of the data management module comprises: motor failure, motor A phase high temperature alarm, motor B phase high temperature alarm, motor C phase high temperature alarm, motor front axle high temperature alarm, motor rear axle high temperature alarm, fan front axle high temperature alarm, fan rear axle high temperature alarm, fan front axle X vibration alarm, fan front axle Y vibration alarm, fan rear axle X vibration alarm, fan rear axle Y vibration alarm, motor front axle X vibration alarm, motor front axle Y vibration alarm, motor A phase high temperature stop alarm, motor B phase high temperature stop alarm, motor C phase high temperature stop alarm, motor front axle high temperature stop alarm, motor rear axle high temperature stop alarm, fan front axle high temperature stop alarm, fan rear axle high temperature stop alarm, fan front axle X vibration stop alarm, fan front axle Y vibration stop alarm, fan rear axle X vibration stop alarm, fan rear axle Y vibration alarm, fan rear axle temperature stop alarm, fan rear axle high temperature stop alarm, high temperature stop alarm, high temperature alarm, The method comprises the following steps of motor front shaft X vibration stop alarm, motor front shaft Y vibration stop alarm, cut-out scraper operation, cut-out scraper failure, collective scraper failure and bucket elevator failure.
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| CN113885421B (en)* | 2020-07-02 | 2024-06-25 | 上海宝信软件股份有限公司 | Method and system for realizing remote one-key tapping of furnace front based on multiple terminals |
| CN112284444A (en)* | 2020-09-11 | 2021-01-29 | 合肥千盟环境技术有限公司 | Cloud monitoring system for operation of bag type dust collector |
| CN112659060A (en)* | 2021-01-08 | 2021-04-16 | 湛江中冶环保运营管理有限公司 | Dismounting and mounting equipment for large oil cylinder |
| CN116260806A (en)* | 2021-12-01 | 2023-06-13 | 中冶建筑研究总院有限公司 | A centralized monitoring system for non-process dust removal based on blockchain |
| CN116303751A (en)* | 2021-12-01 | 2023-06-23 | 中冶建筑研究总院有限公司 | Non-process dust removal energy management system based on block chain |
| CN116088443A (en)* | 2022-12-29 | 2023-05-09 | 中冶京诚工程技术有限公司 | Intelligent management and control system for environmental dust removal of iron works |
| CN120178686A (en)* | 2025-05-07 | 2025-06-20 | 湛江中冶环保运营管理有限公司 | An intelligent control method and system for dust removal system in steel enterprises |
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