CN103324153A - Device and method for automatic safety monitoring of boilers - Google Patents
Device and method for automatic safety monitoring of boilers Download PDFInfo
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- CN103324153A CN103324153A CN2012102198323A CN201210219832A CN103324153A CN 103324153 A CN103324153 A CN 103324153A CN 2012102198323 A CN2012102198323 A CN 2012102198323A CN 201210219832 A CN201210219832 A CN 201210219832A CN 103324153 A CN103324153 A CN 103324153A
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Abstract
The invention discloses a device and method for automatic safety monitoring of boilers. The device for automatic safety monitoring of the boilers comprises a signal acquisition unit, a signal transmission unit connected with the signal acquisition unit, and a data processing unit connected with the signal transmission unit. The data processing unit comprises a memory, a preprocessor, a classifier and a database, wherein the memory is used for storing signal data sent by the signal transmission unit, the preprocessor is connected with the memory, and is used for carrying out preprocessing on the signal data to delete abnormal data in the signal data, the classifier is connected with the preprocessor, and is used for carrying out classification on the preprocessed signal data according to a set threshold value, and the database is connected with the classifier, and is used for storing the classified signal data. The device and method for automatic safety monitoring of the boilers can carry out real-time monitoring on the operating states of the boilers which are arranged in a heating supply system in a dispersed mode, and data monitoring is high in reliability and good in availability.
Description
Technical field
The present invention relates to a kind of boiler safety automated watch-keeping facility and method for the boiler operatiopn state is monitored.
Background technology
In heating system, normally a plurality of boilers by scattering device carry out heat supply, the running status of boiler and abnormal conditions monitoring, can only send someone to make an inspection tour back and forth and monitor, because distant between each boiler, therefore management is got up very inconveniently, is prone to accidents.
Granted publication number is concentrated monitoring device for the Chinese utility model patent of CN201107646Y discloses a kind of dispersed boilers, it comprises the signal gathering unit that is arranged on the boiler place, the circulation digital indicator that is connected with this signal gathering unit, further, the circulation digital indicator is communicated with the INTERNET net by GPRS network, then is connected with workstation by router, hub.The monitoring personnel obtain data by access workstation and INTERNET net, carrying out Real-Time Monitoring, thereby realize remote monitoring, and dispersed boilers is concentrated monitoring.But, utilize this monitoring device, in data acquisition, may the phenomenon that data transmission is interrupted appear because of the GPRS network fault, and, owing to data are not further processed, therefore concentrate the effect of monitoring and early warning quality still to remain to be improved.
Therefore, need a kind of improved boiler safety automated watch-keeping facility and method, more effectively monitor with the running status to the boiler of scattering device.
Summary of the invention
Purpose of the present invention is to overcome the deficiency of existing boiler monitoring means, thereby a kind of improved boiler safety automated watch-keeping facility and method are provided.
Boiler safety automated watch-keeping facility of the present invention comprises signal gathering unit, the signal transmission unit that is connected with this signal gathering unit, and the data processing unit that is connected with this signal transmission unit, and wherein, described data processing unit comprises:
Storer is used for the signal data that storage is sent by signal transmission unit;
The pretreater that is connected with this storer is used for this signal data is carried out pre-service, to delete the abnormal data in this signal data;
The sorter that is connected with this pretreater is used for according to setting threshold classifying through pretreated signal data; And
The database that is connected with this sorter is used for storing sorted signal data.
Preferably, described sorter comprises a cluster container and the comparer that is connected with this cluster container.
Preferably, it is characterized in that, described data processing unit is connected with LAN subscriber.
Preferably, described data processing unit is connected with warning device.
The present invention also provides a kind of boiler safety automatic monitoring method, is used for the running status of boiler is monitored, and the method may further comprise the steps:
Step S100 gathers the signal to be monitored of a plurality of boilers;
Step S200 transfers to data processing unit with the signal data that collects, and this step comprises:
Step S210 determines signal transmission form, and this signal transmission form is a kind of in wire communication transmission mode, GPRS communication transfer mode and the internal wireless communication transfer mode;
Step S220 utilizes selected signal transmission form, and signal data is transferred to data processing unit; And
Step S300 utilizes data processing unit that signal data is processed, and this step comprises:
Step S310, signal data is carried out pre-service, this pre-service comprises: these data are divided into continuity data type, discrete quantitative data type, interval valued data type and qualitative data type, and according to the setting threshold of each data type, the abnormal data in each data type is rejected; And
Step S320, to classifying through pretreated signal data, this classified use fuzzy k-means clustering algorithm carries out.
Preferably, among the described step S320, utilize the fuzzy k-means clustering algorithm to classify, comprising: select a plurality of initial cluster centers, these a plurality of initial cluster centers represent respectively different type of alarm; The pretreated signal data of process of needs classification is distributed in these a plurality of initial cluster centers one of them according to minimum distance criterion.
Boiler safety automated watch-keeping facility of the present invention and method can carry out Real-Time Monitoring to the running status of the boiler of dispersed placement in the heating system, and the reliability of data monitoring are high, validity is strong.
Description of drawings
Fig. 1 is the composition frame chart of boiler safety automated watch-keeping facility of the present invention;
Fig. 2 is the more detailed composition schematic diagram of signal transmission unit among Fig. 1;
Fig. 3 is the more detailed composition schematic diagram of data processing unit among Fig. 1;
Fig. 4 is the principle of work schematic diagram of pretreater among Fig. 3;
Fig. 5 is the composition schematic diagram of sorter among Fig. 3;
Fig. 6 is the schematic flow sheet of boiler safety automatic monitoring method of the present invention;
Fig. 7 is the more detailed schematic flow sheet of step S200 among Fig. 6;
Fig. 8 is the more detailed schematic flow sheet of step S300 among Fig. 6.
Embodiment
Below in conjunction with the drawings and specific embodiments, formation, workflow and the principle of boiler safety automated watch-keeping facility of the present invention and method is elaborated.
As shown in Figure 1, be the composition frame chart of boiler safety automated watch-keeping facility of the present invention.Boiler safety automated watch-keeping facility of the present invention comprises signal gathering unit 100, the signal transmission unit 200 that is connected with this signal gathering unit 100, and the data processing unit 300 that is connected with this signal transmission unit.Particularly, with reference to Fig. 2, signal transmission unit comprises data sink 210, selector switch 220, wire communication module 230, GPRS communication module 240, internal wireless communication module 250 and data transmitter 260, wherein, data sink 210 receives for the signal that signal gathering unit 100 is collected; Selector switch 220 is connected with data sink 210, is used for the transmission mode of signal is selected; Wire communication module 230, GPRS communication module 240 and internal wireless communication module 250 are connected with selector switch 220 respectively, and wire communication module 230, GPRS communication module 240 and internal wireless communication module 250 are respectively applied to by the data transfer mode of correspondence signal be transmitted; Data transmitter 260 is connected with this wire communication module, GPRS communication module and internal wireless communication module respectively, is used for signal is sent to this data processing unit.
In conjunction with Fig. 1,2, signal gathering unit 100 is used for the signal to be monitored of a plurality of boilers is carried out data acquisition, this unit can comprise oxygen content measurement instrument, boiler water gauge, pressure unit, temperature sensor, salt component analysis instrument etc., is used for measuring collection oxygen amount data, boiler water level data, pressure data, temperature data, salt amount data etc.Easily understand, signal gathering unit 100 can increase other sensors as required, to be used for obtaining other signal datas of reflection boiler state.These signal datas can be continuous datas, also can be discrete quantitative data, interval valued data or qualitative datas.When signal gathering unit 100 after different signal datas gathers to these, further be transported to signal transmission unit 200 and carry out the signal data transmission.
With reference to Fig. 2, in signal transmission unit 200, the signal data that data sink 210 is used for signal gathering unit 100 is collected receives especially, and it can be comprised of the data receiver of routine.After data sink 210 receives signal data, further determine communication modes by selector switch 220, and then be sent to data transmitter 260.Wherein, selector switch 220 is made of switching device, it can as required, select different communication modes, particularly, by selecting wire communication module 230, signal data can transmit by the wire communication approach of inside, and by selecting GPRS communication module 240, signal data can carry out data transmission by the GPRS Radio Network System, by selecting the internal wireless communication module, signal data can carry out data transmission by inner enterprise network.In actual applications, preferably can select GPRS communication module 240 to carry out data transmission, when the GPRS network signal is not good, can select wire communication module 230 or internal wireless communication module 250 to carry out data transmission, with the stability of increase data transmission and the reliability of system.Wire communication module 230, GPRS communication module 240 and internal wireless communication module 250 all can utilize conventional wire communication equipment, GPRS communication apparatus and internal wireless communication apparatus to consist of.Data transmitter 260 has the function of data receiver and data transmission simultaneously, is used for receiving signal data, and the signal data that receives is transferred to data processing unit 300.Data transmitter 260 can be made of the data transmitting/receiving equipment of routine.
Further, as shown in Figure 2, data processing unit 300 comprises storer 310, pretreater 320, sorter 330 and database 340, and wherein storer 310 is used for the signal data that storage is sent by signal transmission unit 200; Pretreater 320 is connected with storer 310, is used for this signal data is carried out pre-service, to delete the abnormal data in this signal data; Sorter 330 is connected with pretreater 320, is used for according to setting threshold classifying through pretreated signal data; Database 340 is connected with this sorter 330, is used for storing sorted signal data.
Particularly, after data processing unit 300 receives signal data, can be stored in first in the storer 310, then, pretreater 320 can obtain signal data in storer 310, carry out pre-service, this pre-service is actually a filter step, namely the abnormal data in the signal data is deleted.With reference to Fig. 4, in this pre-service, data (data 1) are classified at first to the received signal, signal data is divided into continuity data type, discrete quantitative data type, interval valued data type and qualitative data type, and these four types are placed respectively in four virtual data container S1, S2, S3 and the S4, next, according to the setting threshold of each data type, the abnormal data in each data type is rejected.Particularly, with reference to Fig. 4, A1 is the processing to continuity data type in the S1, if certain data has exceeded the setting threshold of setting the continuity data type among the S1, and then can be with this data deletion, for example, oxygen level is continuous data, and its value should be more than or equal to zero, if certain data in the S1 show that oxygen level is negative value, then these data are noise data, should delete.A2 is the processing to discrete data, if the data among the S2 have exceeded the setting threshold of discreteness data, and then should be with this data deletion.Similarly, can carry out pre-service (being respectively A3, A4) to interval valued data and qualitative data.Then, form through pretreated data 2.With reference to Fig. 5, be the composition schematic diagram of sorter 330.Sorter 330 comprises a cluster container 331 and the comparer 332 that is connected with this cluster container.Cluster container 331 and comparer 332 are used for carrying out the fuzzy k-means clustering algorithm, so that data-signal is classified.Particularly, in conjunction with Fig. 4, to selecting k initial cluster center through pretreated data 2, in this enforcement in, select 4 initial cluster centers, z1, z2, z3 and z4, represent respectively different type of alarm, namely without alert, light alert, middle police and heavily alert, then, the signal data that will need one by one to classify is distributed to the some of four cluster centres as the pattern sample according to minimum distance criterion.Especially, when the distance of certain data to two cluster centre equates, then with this data allocations to the higher class of alert levels.For example, certain data is to z2 (light alert) and alert in the z3() distance when equating, then with this data allocations in z3.By utilizing this algorithm, can divide comparatively accurately the Alert Level of signal data.
Referring again to Fig. 1, data processing unit 300 is connected with LAN subscriber 10.This LAN subscriber 10 can be from data processing unit 300 receptions Monitoring Data and monitoring analysis data after treatment.In addition, data processing unit 300 also can be connected with the warning device (not shown).Warning device can be a generating means or light-emitting device, when can send prompt tone or sending prompting light when unusual appears in data, points out to cause the staff.Routinely, data processing unit 300 also can be connected with IO interface and display interface.Data processing unit 300 can be conventional data processing chip, also can be made of the virtual computing module in the computing machine.
Corresponding with boiler safety automated watch-keeping facility of the present invention, the present invention also provides a kind of boiler safety automatic monitoring method, the running status of boiler is monitored being used for.Haply, with reference to Fig. 6, boiler safety automatic monitoring method of the present invention comprises step S100 to step S300, wherein, in step S100, the signal to be monitored of a plurality of boilers is gathered; In step S200, the signal data that collects is transferred to data processing unit; In step S300, utilize data processing unit that signal data is processed.Below in conjunction with Fig. 6,7,8, above step is elaborated.
Step S100.
In this step, the signal to be monitored of a plurality of boilers is gathered.As mentioned above, can utilize the data acquisition unit that comprises all kinds sensor, to the status signal of boiler, such as oxygen amount data, furnace pressure data, water level signal, furnace temperature signal etc. carried out data acquisition.Then, enter step S200, i.e. data transmission step.
Step S200.
With reference to Fig. 7, this data transmission step S200 comprises step S210 and step S220, wherein in step S210, and step S210, determine signal transmission form, this signal transmission form is a kind of in wire communication transmission mode, GPRS communication transfer mode and the internal wireless communication transfer mode; In step S220, utilize selected signal transmission form, signal data is transferred to data processing unit.As mentioned above, providing the multi-signal transmission mode, is in order to guarantee that data transmission is more stable, safety.
Step S300.
This step is used for the data that receive are processed, and with reference to Fig. 8, this step further comprises step S310 and step S320, wherein, in step S310, signal data is carried out pre-service; In step S320, to classifying through pretreated signal data, this classification can utilize ripe fuzzy k-means clustering algorithm to carry out.As mentioned above, signal data is carried out pre-service in a signal preprocessor, finish, finish in data sorter and signal data classified.In conjunction with above description, particularly, in step S310, signal data is carried out pre-service, comprise: these data are divided into continuity data type, discrete quantitative data type, interval valued data type and qualitative data type, and according to the setting threshold of each data type, the abnormal data in each data type is rejected.In step S320, to classifying through pretreated signal data, with reference to above description to sorter, utilize the fuzzy k-means clustering algorithm to carry out, comprise: select a plurality of initial cluster centers, these a plurality of initial cluster centers represent respectively different type of alarm; The pretreated signal data of process of needs classification is distributed in these a plurality of initial cluster centers one of them according to minimum distance criterion.
After above-mentioned steps is finished, signal data after treatment can be stored in the database, and be transferred to the user as required.
In sum, boiler safety automated watch-keeping facility of the present invention and method can carry out Real-Time Monitoring to the running status of the boiler of dispersed placement in the heating system, and the reliability of data monitoring are high, validity is strong.
Claims (6)
1. a boiler safety automated watch-keeping facility is characterized in that, comprises signal gathering unit, the signal transmission unit that is connected with this signal gathering unit, and the data processing unit that is connected with this signal transmission unit, wherein, described data processing unit comprises:
Storer is used for the signal data that storage is sent by signal transmission unit;
The pretreater that is connected with this storer is used for this signal data is carried out pre-service, to delete the abnormal data in this signal data;
The sorter that is connected with this pretreater is used for according to setting threshold classifying through pretreated signal data; And
The database that is connected with this sorter is used for storing sorted signal data.
2. boiler safety automated watch-keeping facility according to claim 1 is characterized in that, described sorter comprises a cluster container and the comparer that is connected with this cluster container.
3. boiler safety automated watch-keeping facility according to claim 1 and 2 is characterized in that, described data processing unit is connected with LAN subscriber.
4. boiler safety automated watch-keeping facility according to claim 1 and 2 is characterized in that, described data processing unit is connected with warning device.
5. a boiler safety automatic monitoring method is used for the running status of boiler is monitored, and it is characterized in that, the method may further comprise the steps:
Step S100 gathers the signal to be monitored of a plurality of boilers;
Step S200 transfers to data processing unit with the signal data that collects, and this step comprises:
Step S210 determines signal transmission form, and this signal transmission form is a kind of in wire communication transmission mode, GPRS communication transfer mode and the internal wireless communication transfer mode;
Step S220 utilizes selected signal transmission form, and signal data is transferred to data processing unit; And
Step S300 utilizes data processing unit that signal data is processed, and this step comprises:
Step S310, signal data is carried out pre-service, this pre-service comprises: these data are divided into continuity data type, discrete quantitative data type, interval valued data type and qualitative data type, and according to the setting threshold of each data type, the abnormal data in each data type is rejected; And
Step S320, to classifying through pretreated signal data, this classified use fuzzy k-means clustering algorithm carries out.
6. boiler safety automatic monitoring method according to claim 5, it is characterized in that, among the described step S320, utilize the fuzzy k-means clustering algorithm to classify, comprise: select a plurality of initial cluster centers, these a plurality of initial cluster centers represent respectively different type of alarm; The pretreated signal data of process of needs classification is distributed in these a plurality of initial cluster centers one of them according to minimum distance criterion.
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| CN2012102198323A CN103324153A (en) | 2012-06-28 | 2012-06-28 | Device and method for automatic safety monitoring of boilers |
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| CN2012102198323A CN103324153A (en) | 2012-06-28 | 2012-06-28 | Device and method for automatic safety monitoring of boilers |
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Cited By (4)
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| CN110006484A (en) * | 2019-03-27 | 2019-07-12 | 新奥数能科技有限公司 | A kind of monitoring method and device of boiler fluctuation status |
| CN110056855A (en) * | 2019-04-29 | 2019-07-26 | 北京市众诚恒祥能源投资管理有限公司 | Boiler failure monitoring method and system, computer storage medium |
| CN110633880A (en) * | 2018-06-22 | 2019-12-31 | 北京京东尚科信息技术有限公司 | Method and device for determining configuration number of automatic guided vehicles |
| CN113093678A (en) * | 2021-04-07 | 2021-07-09 | 国能(泉州)热电有限公司 | Data processing method for power plant DCS (distributed control System) |
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