CN105527045A - Coal mine working surface support pressure data segmented fitting method and device - Google Patents
Coal mine working surface support pressure data segmented fitting method and device Download PDFInfo
- Publication number
- CN105527045A CN105527045A CN201510881667.1A CN201510881667A CN105527045A CN 105527045 A CN105527045 A CN 105527045A CN 201510881667 A CN201510881667 A CN 201510881667A CN 105527045 A CN105527045 A CN 105527045A
- Authority
- CN
- China
- Prior art keywords
- data
- fitting
- coal mine
- pressure
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
At present, an existing coal mine support pressure monitoring system directly transmits the data collected by a monitoring sub station. However, in super long working surface application, due to the limit of a bus query cycle, the transmission data amount is often large or a sampling interval time is often long. The requirements of monitoring the burst singular signal in support pressure and reducing system transmission data amount as much as possible are difficult to satisfy. The basic idea of the invention is that the data segmentation is carried out according to one system query period, if the data amount is smaller than a fitting coefficient number in the segment, the data is transmitted directly, if the data amount is larger than the fitting coefficient number, the polynomial fitting of data is carried out, the fitting coefficient is obtained, and only the fitting coefficient is transmitted. In this way, the amount of data to be transmitted is greatly reduced, import data information is not lost, the data transmission amount of each query period is fixed, and the data transmission management is facilitated.
Description
Technical field
The present invention relates to the monitoring of coal mine work area poppet pressure and technical field of data transmission, specifically a kind of coal mine work area poppet pressure data sectional approximating method and device.
Background technology
Current coal mine work area poppet pressure monitoring system is generally transmitted by industrial bus, and system is made up of, by main website poll to each substation data query a main website and several substations be connected in bus.Main website is usually on ground, and substation is distributed on each hydraulic support, and whole pressure monitor system transmission line may reach several kilometers.In order to long distance transmitting, communication speed is set up as 5kbps or 2.4kbps, and the polling cycle of General System bus is level second.Due to the appearance of overlength workplace in the last few years, workplace may reach 200 support substations, this substantially prolongs the time of bus inquiry.
The sampling time of substation is then faster, such as sampling per second 3 times.Each substation is set to 8bits sampling, and support front pillar, rear pillar, front-axle beam respectively gather two point data, then each sampling is 6 byte datas, and calculate for 3 times by sampling per second, each substation data to be transmitted per second is 18 bytes.During asynchronous communication, each byte data is generally 11bits transmission, and a substation is total to 198bits in one second, by 5kbps speed rates, takes 0.04S, if data transmission protects be transmit data time 10%, i.e. 0.004S interval time.Then each substation sends data and takes 0.044S.Each two the byte 22bits of main website poll, namely poll adds interval time is 0.0044+0.00044=0.00484S.Therefore a substation inquiry with response T.T. is: 0.044+0.00484=0.04884S.Consider substation and substation inquire about between guard time interval be also set to 0.0044S, then a substation actual data transfer required time is about: 0.05324S.
Overlength workplace may reach 200 support substations, then the inquiry scan time of one week is about 0.05324 × 200=10.648S.At this moment contradiction has occurred, the data that whole 200 supports gathered in 1 second, need within about 11 seconds, transmit, and in transmitting procedure, in substation, the data of 11 times has been stored in accumulation again.In order to solve such problem, actual bracket pressure monitor system has to reduce the sampling rate of substation, namely abandons a large amount of data.As data reduce to sampling per second 1 time, 200 substation data transmission periods still need about 3.36S.That is, for 200 substations, the system of this immediate data transmission, sampling interval only extends to about 4 seconds, and sampling should be carried out, could meet the requirement of real-time data transmission.
But, have the signal of unusual change in actual bracket pressure data curve, abrupt pressure reduction when namely moving frame, keep low pressure, boost and adjust the process of pressure again.Usually wholely frame process lasts is moved about 7 ~ 8 seconds, wherein dip time about 1 second, about 1 second pressure rising time.This moves frame process is manually-operated, the pressure curve of whole 24 hours is by such several work periods of moving frame process one by one and being divided into 2 ~ 3 little durations, within the time of this 2 ~ 3 little duration, the change of pressure curve is more slowly, and the pressure change moving frame process has very important meaning for calculating coal mine working surface pressure.Obviously, due to the singular signal produced when moving frame, it is once unpractiaca that the sampling interval of substation grows to 4 seconds, can lose important information.Therefore, overlength force piece pressure monitoring is needed to adopt new Data acquisition and transmit technology.
Summary of the invention
In order to solve the defect that above-mentioned prior art exists, the present invention proposes a kind of coal mine work area poppet pressure data sectional approximating method and device, the data that can realize overlength force piece pressure monitor system are effectively monitored and transmit.
The technical solution used in the present invention: a kind of coal mine work area poppet pressure data sectional approximating method, comprises the following steps:
Step 1: the pressure data collected is carried out segmentation by main website polling cycle in industrial bus system, and sets up fitting polynomial formulas;
Step 2: the judgement carrying out data volume in each segmentation, if data volume is less than coefficient of polynomial fitting amount, then directly transmits data; If data volume is greater than coefficient of polynomial fitting amount, then fitting of a polynomial is carried out to data, only transmission polynomial coefficient during transmission;
Step 3: main website judges the data type received, if what receive is poppet pressure data, then directly stores; If what receive is multinomial coefficient, then recover poppet pressure data according to multinomial coefficient is approximate.
Preferably, described fitting polynomial formulas adopts 4 order polynomials, and fitting formula is:
y
i＝a
4t
i 4+a
3t
i 3+a
2t
i 2+a
1t
i+a
0，i＝1,2,3…n
Wherein, a
4, a
3, a
2, a
1, a
0for fitting coefficient, t
ibe i-th sampled point moment, y
ifor the data after matching, matching adopts least square method principle to determine fitting coefficient.
A kind of coal mine work area poppet pressure data sectional matching device, comprise the processor for data acquisition and data sectional matching, for collection of coal mine force piece front-axle beam, front pillar and rear column pressure pressure transducer and show the display of pressure data on the spot; Described pressure transducer is by the input end of pre-process circuit connection handling device; Described display is connected with the output terminal of processor, and the output terminal of described processor is also connected with memory for storing data and for 485 communication interfaces with main website communication.
Preferably, described processor adopts STC15F2K60S2 single-chip microcomputer.
Preferably, described pressure transducer adopts GYD10 No. six pressure transducer.
Preferably, described pre-process circuit adopts based on the amplifying circuit of INA128 chip and the low-pass filter based on LM358 chip.
Beneficial effect of the present invention: the present invention proposes coal mine work area poppet pressure data sectional approximating method and device, first segmentation is carried out to face pressure data, polyfit is carried out in this segmentation, when data volume is larger, only transmit fitting coefficient, and do not transmit real data, recover data at receiving end according to fitting coefficient.Greatly reduce the data volume that will transmit like this, do not lose important data message again, also secure the volume of transmitted data of each polling cycle, facilitate data transfer management.
Accompanying drawing explanation
Fig. 1 is theory diagram of the present invention;
Fig. 2 is signal wiring figure of the present invention;
Fig. 3 is substation main program flow chart of the present invention;
Fig. 4 is substation interrupt routine process flow diagram of the present invention;
Tu5Shi main website of the present invention ten seconds inquiry curvilinear motion figure once;
Tu6Shi main website of the present invention 15 seconds inquiry curvilinear motion figure once.
Embodiment
In order to details and the advantage thereof of technical solution of the present invention are described better, now describe in detail in conjunction with the accompanying drawings and embodiments.
A kind of coal mine work area poppet pressure data sectional approximating method, comprises the following steps:
Step 1: the pressure data collected is carried out segmentation by main website polling cycle in industrial bus system, and sets up fitting polynomial formulas;
Step 2: the judgement carrying out data volume in each segmentation, if data volume is less than coefficient of polynomial fitting amount, then directly transmits data; If data volume is greater than coefficient of polynomial fitting amount, then fitting of a polynomial is carried out to data, only transmission polynomial coefficient during transmission;
Step 3: main website judges the data type received, if what receive is poppet pressure data, then directly stores; If what receive is multinomial coefficient, then recover poppet pressure data according to multinomial coefficient is approximate.
A kind of coal mine work area poppet pressure data sectional matching device, as shown in Figure 1 and Figure 2, this device comprises the processor 103 for data acquisition and data sectional matching, for collection of coal mine force piece front-axle beam, front pillar and rear column pressure pressure transducer 101 and show the display 105 of pressure data on the spot; Described pressure transducer 101 is by the input end of pre-process circuit 102 connection handling device 103; Described display 105 is connected with the output terminal of processor 103, and the output terminal of described processor 103 is also connected with memory 104 for storing data and for 485 communication interfaces 106 with main website communication.
System work process: pressure transducer 101 is monitored respectively from front-axle beam, front pillar, the six road pressure signals that rear pillar attracts, amplified by pre-process circuit 102, with low-pass filter in amplifying circuit, filtering process is carried out to pressure signal, signal after amplification is delivered to processor 103 and is processed, processing unit carries out display conversion, the pressure information that will show on the spot send display 105 to show, and carry out the piecewise fitting process of data, program and data all leave in external storage 104, data after piecewise fitting process are sent on monitoring system bus by 485 communication interfaces 106, query statement simultaneously by bus Receiving Host.
Data sectional fitting theory: the singularity of poppet pressure Monitoring Data is the singular data containing pressure jump when manually moving frame in the pressure data of comparatively slowly change.To the pressure data of slowly change, sample frequency can be low to moderate several seconds even tens of second once, and to singular signal when moving frame, wishes that sample frequency can reach more than three times per second.Therefore, actual bracket pressure monitor system, in order to reliably collect pressure jump signal when manually moving frame, often adopts higher sampling rate, as three samplings per second.And for overlength workplace, support reaches 200 multi rack, the sampled data of three times per second is difficult to realize real-time Data Transmission.Because poppet pressure monitoring generally adopts industrial bus inquiry mode, the data transmission between main website and substation to be sent instructions inquiry substation by main website, and the query statement that substation receives main website just sends data to main website, and a polling cycle is often in several seconds or tens of second.Therefore, poppet pressure data are carried out segmentation by polling cycle, namely divide and to stand in data-storing in a polling cycle in substation memory, when waiting main website to inquire this substation, carry out polyfit, only transmit fitting coefficient.Greatly reduce the data volume that will transmit like this, do not lose important data message again, also secure the volume of transmitted data of each polling cycle, facilitate data transfer management.
Per second to force piece force samples 3 times with substation, main website inquiry in every ten seconds once totally 30 groups of data, and main website inquiry in every 15 seconds once totally 45 groups of data instances.
According to actual measurement, adopt 4 order polynomials can meet the requirement of poppet pressure monitoring preferably in this example, namely establish the data x measured
ifor:
x
i＝f(t
i)
Wherein t
ibe i-th sampled point moment, in data-signal, normal directly with 1,2,3 ... n represents.F funtcional relationship is unknown, therefore, with fitting formula is:
y
i＝a
4t
i 4+a
3t
i 3+a
2t
i 2+a
1t
i+a
0，i＝1,2,3…n
Wherein, a
4, a
3, a
2, a
1, a
0for fitting coefficient, y
ifor the data after matching, n is the length of data in segmentation.With general data matching unlike, because bus query time is difficult to completely specified, therefore, the value of the data length n of segmentation may change.Which type of coefficient sets is the target of matching get exactly, can make the data y after matching
iwith measurement data x
iclosest.The general least square method principle that often adopts in data fitting determines fitting coefficient, namely by continuous iteration, makes the quadratic sum of the difference of fitting data y and former measurement data x be minimum, coefficient set when namely asking following formula F to be minimum:
Obtain a
0~ a
4, five coefficients, then obtain by fitting formula the data that matching obtains.Because the system queries cycle is can not be completely specified, therefore, the length n of segment data also may be each all not too identical.During so original direct transmission data, the data volume of each transmission is also uncertain.After adopting piecewise fitting, each like this sampled point only needs transmission 5 coefficients a polling cycle.That is, when data volume is less than 5 in an inquiry segment cycle, directly transmits data, and mend 0 after data, gather and expire 5 bit data.When data volume is more than or equal to 5, carries out 4 order polynomial matchings, obtain 5 potential coefficients, during transmission, only transmit this 5 potential coefficient.Each is like this all transmission 5 bit data.
Following table is that substation is per second to force piece force samples 3 times, main website inquiry in every ten seconds once totally 30 groups of data, and main website inquiry in the every 15 seconds once sampled value of totally 45 groups of data and match value contrast.
As shown in Figure 5 and Figure 6, polling cycle is the data of the data fitting of ten seconds and ten five seconds segmentations, and namely 30 and 45 sampled datas, can meet the needs of poppet pressure market demand viewed from curvilinear motion.Visible, after adopting method and apparatus provided by the invention, once, the data volume of transmission is identical, and be all each transmission 5 data, pressure curve change is also substantially similar, enough meets application needs in main website inquiry in ten seconds inquiry in once with ten five seconds.
Claims (6)
1. a coal mine work area poppet pressure data sectional approximating method, is characterized in that, comprise the following steps:
Step 1: the pressure data collected is carried out segmentation by main website polling cycle in industrial bus system, and sets up fitting polynomial formulas;
Step 2: the judgement carrying out data volume in each segmentation, if data volume is less than coefficient of polynomial fitting amount, then directly transmits data; If data volume is greater than coefficient of polynomial fitting amount, then fitting of a polynomial is carried out to data, only transmission polynomial coefficient during transmission;
Step 3: main website judges the data type received, if what receive is poppet pressure data, then directly stores; If what receive is multinomial coefficient, then recover poppet pressure data according to multinomial coefficient is approximate.
2. coal mine work area poppet pressure data sectional approximating method according to claim 1, it is characterized in that: described fitting polynomial formulas adopts 4 order polynomials, fitting formula is:
y
i＝a
4t
i 4+a
3t
i 3+a
2t
i 2+a
1t
i+a
0，i＝1,2,3…n
Wherein, a
4, a
3, a
2, a
1, a
0for fitting coefficient, t
ibe i-th sampled point moment, y
ifor the data after matching, matching adopts least square method principle to determine fitting coefficient.
3. a coal mine work area poppet pressure data sectional matching device, it is characterized in that: this device comprises the processor (103) for data acquisition and data sectional matching, for collection of coal mine force piece front-axle beam, front pillar and rear column pressure pressure transducer (101) and show the display (105) of pressure data on the spot; Described pressure transducer (101) is by the input end of pre-process circuit (102) connection handling device (103); Described display (105) is connected with the output terminal of processor (103), and the output terminal of described processor (103) is also connected with memory (104) for storing data and for 485 communication interfaces (106) with main website communication.
4. coal mine work area poppet pressure data sectional matching device according to claim 3, is characterized in that: described processor (103) adopts STC15F2K60S2 single-chip microcomputer.
5. coal mine work area poppet pressure data sectional matching device according to claim 3, is characterized in that: described pressure transducer (101) adopts GYD10 No. six pressure transducer.
6. coal mine work area poppet pressure data sectional matching device according to claim 3, is characterized in that: described pre-process circuit (102) adopts based on the amplifying circuit of INA128 chip and the low-pass filter based on LM358 chip.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510881667.1A CN105527045B (en) | 2015-12-03 | 2015-12-03 | Coal mine work area poppet pressure data sectional approximating method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510881667.1A CN105527045B (en) | 2015-12-03 | 2015-12-03 | Coal mine work area poppet pressure data sectional approximating method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105527045A true CN105527045A (en) | 2016-04-27 |
| CN105527045B CN105527045B (en) | 2019-06-14 |
Family
ID=55769413
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510881667.1A Expired - Fee Related CN105527045B (en) | 2015-12-03 | 2015-12-03 | Coal mine work area poppet pressure data sectional approximating method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105527045B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110175412A (en) * | 2019-05-28 | 2019-08-27 | 广东海洋大学 | Reservoir Data approximating method, Reservoir Data analysis method and device |
| CN113191003A (en) * | 2021-05-08 | 2021-07-30 | 上海核工程研究设计院有限公司 | Nuclear power real-time data trend fitting algorithm |
| CN113383325A (en) * | 2019-04-26 | 2021-09-10 | 西门子股份公司 | Data acquisition system and method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1490989A (en) * | 2002-10-17 | 2004-04-21 | 明基电通股份有限公司 | System and method for increasing data transfer volume applied in radio data transmission |
| WO2008003263A1 (en) * | 2006-06-29 | 2008-01-10 | Huawei Technologies Co., Ltd. | System and method for facsimile data transmission via network and device and method for packaging data |
| CN103188247A (en) * | 2011-12-31 | 2013-07-03 | 深圳市金蝶友商电子商务服务有限公司 | Method and system of data transmission |
| CN203745108U (en) * | 2013-11-27 | 2014-07-30 | 尤洛卡矿业安全工程股份有限公司 | Mining pressure detection device and system used for fully-mechanized coal mining support and capable of wireless self-networking |
| CN104180937A (en) * | 2013-05-22 | 2014-12-03 | 上海尧华科技发展有限公司 | Hydraulic support pressure monitoring system |
| CN205175596U (en) * | 2015-12-03 | 2016-04-20 | 徐州博林高新技术有限责任公司 | Transmission device is measured in colliery overlength force piece pressure data sementation match |
-
2015
- 2015-12-03 CN CN201510881667.1A patent/CN105527045B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1490989A (en) * | 2002-10-17 | 2004-04-21 | 明基电通股份有限公司 | System and method for increasing data transfer volume applied in radio data transmission |
| WO2008003263A1 (en) * | 2006-06-29 | 2008-01-10 | Huawei Technologies Co., Ltd. | System and method for facsimile data transmission via network and device and method for packaging data |
| CN103188247A (en) * | 2011-12-31 | 2013-07-03 | 深圳市金蝶友商电子商务服务有限公司 | Method and system of data transmission |
| CN104180937A (en) * | 2013-05-22 | 2014-12-03 | 上海尧华科技发展有限公司 | Hydraulic support pressure monitoring system |
| CN203745108U (en) * | 2013-11-27 | 2014-07-30 | 尤洛卡矿业安全工程股份有限公司 | Mining pressure detection device and system used for fully-mechanized coal mining support and capable of wireless self-networking |
| CN205175596U (en) * | 2015-12-03 | 2016-04-20 | 徐州博林高新技术有限责任公司 | Transmission device is measured in colliery overlength force piece pressure data sementation match |
Non-Patent Citations (1)
| Title |
|---|
| 赵端: "基于ZigBee技术的井下液压支架压力监测***设计", 《工矿自动化》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113383325A (en) * | 2019-04-26 | 2021-09-10 | 西门子股份公司 | Data acquisition system and method |
| CN110175412A (en) * | 2019-05-28 | 2019-08-27 | 广东海洋大学 | Reservoir Data approximating method, Reservoir Data analysis method and device |
| CN110175412B (en) * | 2019-05-28 | 2023-03-28 | 广东海洋大学 | Oil reservoir data fitting method, oil reservoir data analysis method and device |
| CN113191003A (en) * | 2021-05-08 | 2021-07-30 | 上海核工程研究设计院有限公司 | Nuclear power real-time data trend fitting algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105527045B (en) | 2019-06-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105527045A (en) | Coal mine working surface support pressure data segmented fitting method and device | |
| CN117279017B (en) | Wireless communication intelligent monitoring and early warning system based on 5G network | |
| CN104763453A (en) | Surrounding rock anchor bolt stress wave positioning monitoring system | |
| CN104038554B (en) | FPGA-based high-speed data acquisition and communication method and communication equipment for power system | |
| CN103630736A (en) | MSP430 single chip microcomputer based on-line insulator leakage current monitoring device | |
| CN105741481A (en) | Fire hazard monitoring and positioning device based on binocular cameras and fire hazard monitoring and positioning method | |
| CN103424272B (en) | A kind of multichannel precise seeder seed-metering performance detection system | |
| CN202141441U (en) | Automatic snow depth measuring device based on ultrasonic sensor | |
| CN104331637A (en) | Digital beam forming technique verification system and data processing method | |
| CN205175596U (en) | Transmission device is measured in colliery overlength force piece pressure data sementation match | |
| CN109540257B (en) | Virtual ground hydrology monitoring station | |
| US20060033642A1 (en) | Self-powered vehicle speed sensor | |
| CN206280231U (en) | A kind of fault monitoring device of positive displacement pump | |
| CN104579532A (en) | Synchronization method of optical fiber distribution device for power cable | |
| CN204241376U (en) | Based on the expressway visibility monitor and early warning system of cloud computing platform | |
| CN204373727U (en) | A kind of liquid level on-line monitoring based on video and alarm control system | |
| CN100573076C (en) | A kind of crossbeam type oil pumping machine feed sensor calibration system and scaling method thereof | |
| CN202205052U (en) | 12-channel analog data acquisition and control panel | |
| CN109959903A (en) | A kind of on-line checking Transmission System of Radar Data time delay device and detection method | |
| CN104580528A (en) | Information transmission control method applied to Internet of Vehicles | |
| CN204856862U (en) | Wireless monitoring devices based on GSM SMS | |
| CN110793712A (en) | Union type pressure sensor high-frequency sampling device | |
| CN110673517A (en) | FPGA and ARM-based high-speed blade tip clearance signal acquisition and processing device and method | |
| CN109189875A (en) | Vehicle positioning data processing equipment and method | |
| CN114383494B (en) | MEMS triggering assisted GNSS data processing software deformation monitoring disaster pre-warning method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190614 Termination date: 20191203 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |