CN103604914B - Mine Internet of Things coal-mine gas mobility detect data processing method - Google Patents
Mine Internet of Things coal-mine gas mobility detect data processing method Download PDFInfo
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- CN103604914B CN103604914B CN201310557609.4A CN201310557609A CN103604914B CN 103604914 B CN103604914 B CN 103604914B CN 201310557609 A CN201310557609 A CN 201310557609A CN 103604914 B CN103604914 B CN 103604914B
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Abstract
The invention discloses a kind of mine Internet of Things coal-mine gas mobility detect data processing method, relate to mine gas mobility detect technical field of data processing.The method is at the other installation of each a fixing gas detector WAP be made up of sensor pretreatment unit and sensor identifying unit, the data that fixing gas detector detects by WAP and mobile gas detector detects around WAP data simple process and after judging, by down-hole switch, mine Internet of Things transmission platform, ground switch uploads to surface work station, mobile gas detector and fixing gas detector are detected data and are divided into gas multidimensional data point and gas management data to two class data by surface work station, adopt respectively and carry out the overall situation based on the adaptive weighting data fusion algorithm of sub-clustering and the confidence level blending algorithm of single-sensor many measuring periods and judge, overall situation result of determination is issued to each WAP with the forms of broadcasting, improve the reliability detecting data.
Description
Technical field
The present invention relates to ore deposit gas mobility detect technical field of data processing, specifically a kind of mine Internet of Things coal-mine gas mobility detect data processing method, be mainly applicable to most according to lower mine gas detection discriminating data and process.
Background technology
The electromechanical equipment duty of the link such as the environmental parameter such as gas, wind speed, carbon monoxide, smog, temperature and shaft production, transport, lifting, draining that coal mine safety monitoring system refers to colliery carries out detection and control, obtain a kind of system of data by computing machine analyzing and processing, wherein gas management is the most important function of mine safety detection system.The safety detecting system that China commonly uses is more, as: KJ2, KJ4, KJ8, KJ10, KJ13, KJ19, KJ38, KJ66, KJ75, KJ80, KJ90, KJ95, KJ2000 etc.Present coal mine safety monitoring system is generally made up of four parts: 1. detect main website; 2. main frame (comprising application software, computing machine and peripherals) is detected; 3. substation (comprising transmission interface, transmission line, terminal box etc.) is detected; 4. sensor and topworks.
Detect main frame and directly conduct can detect main website, when using the network switch, detecting main frame and also can connect detection main website by switch.The information that each can be detected substation by detection main website delivers to special detection server by switch.Safety monitoring system can provide Environmental security dynamic state of parameters information for production cammander at different levels and business department, for commander's production provides in-situ data and information timely, is convenient to take the precautionary measures in advance.
Standard " coal mine safety monitoring system and detecting instrument use management specification (AQ1029-2007) " defines the equipment of coal mine safety monitoring system and detecting instrument, design and installation, sensor setting, O&M, the requirement such as system and networked information process, management system and technical information.The firedamp sensor that this coal mine safety monitoring system connects is substantially all the sensor that point of fixity detects, as AQ1029-2007 requires: methane transducer answers vertical hanging, 300mm must not be greater than apart from top board, 200mm must not be less than apart from tunnel sidewall (wall), and should be convenient for installation and maintenance, do not affect pedestrian and driving.
Along with mine Internet of Things is in the application in colliery,, there is a large amount of mobile gas management point, as the application of a large amount of intelligent mine lamp in the open application architecture of Internet of Things, all with gas management sensor on the mine lamp of each workman, detect data and be transferred to test and monitoring center by mine Internet of Things.Such as " a kind of active full safety detection method of coal mine down-hole personnel environment " patent No.: 201110453491, and " Networked intelligent miner-light helmet " patent No.: 200920257151 etc. are all provided with firedamp sensor on mine lamp.Firedamp sensor on obvious this mine lamp moves along with miner, belongs to the traverse measurement to coal mine gas.
Obviously, coal-mine gas detect just from original be point of fixity detection system substantially, progressively change point of fixity detection into and add transfer point detection, along with the large area of intelligent mine lamp uses, the data volume of gas mobility detect can be far longer than the detection data volume of point of fixity sensor.This just brings a series of like this problem:
Does 1. point of fixity detect data and transfer point and how detects the relation of data?
2. a large amount of movable sensor how adjustment, does guarantee detect the reliability of data?
3. due to reasons such as mobility detect point movability, environmental change, adjustment, the degree of confidence of mobility detect data how is evaluated?
Because " coal mine safety monitoring system and detecting instrument use management specification (AQ1029-2007) " has carried out strict regulation to the installation of firedamp sensor in supervisory system, use, adjustment, as: the infield and the mode that define firedamp sensor; Also regulation adopts the methane transducer etc. of carrier catalysis principle, must use calibration gas and air sample every 10 days, by products instruction requirement adjustment once; Meanwhile, require that having methane transfinites fail secure and methane lock between air and electricity function, etc.Above-mentioned these require and regulation can not realize for transfer point, such as: transfer point can not meet the requirement of firedamp sensor infield; When mobility detect sensor requirements is when 10 days with calibration gas adjustment one time, the adjustment of thousands of mobility detect sensor can bring the surge of workload; Mobility detect point also directly can not realize fail secure; In addition, transfer point measurement is a kind of flow detection, detect the variability that data have when and where, the detection data of this change in time and space are also unexistent etc. in original fixing safety monitoring system.
Therefore, solve data processing and decision method under many firedamp sensors, be badly in need of the problem solved for one that is that under the Internet of Things framework of mine, novel metering system faces.
Summary of the invention
In order to solve the multisensor, multiple spot, most according to relations problems run in gas surveying under the Internet of Things form of mine, the invention provides the information processing method of a kind of coal-mine gas fixed test data and mobility detect data, adopt point of fixity to be detected as master, transfer point is detected as auxiliary data processing means; And propose to utilize contiguous point of fixity data as reference, automatically carry out the method that movable sensor detects data adjustment, simplify the adjustment to a large amount of mobile firedamp sensor.
The present invention realizes with following technical scheme: a kind of mine Internet of Things coal-mine gas mobility detect data processing method, utilize mine Internet of Things framework, at the other installation of each a fixing gas detector WAP be made up of sensor pretreatment unit and sensor identifying unit; The data that fixing gas detector detects by WAP and mobile gas detector detects around WAP data simple process and after judging, surface work station is uploaded to by down-hole switch, mine Internet of Things transmission platform, ground switch, the data that all WAPs are uploaded by workstation are carried out the overall situation and are judged, overall situation result of determination is issued to each WAP with the forms of broadcasting, and WAP is responsible for the fixing gas detector notifying neighbouring mobile gas detector and be attached thereto;
The overall situation judges that detecting data with colliery point of fixity gas detector takes as the leading factor, it is auxiliary for detecting data with mobile gas detector, form the coal-mine gas detection system of main and auxiliary combination, specific as follows: mobile gas detector and fixing gas detector to be detected data and be divided into gas multidimensional data point and gas management data to two class data; Arrive near certain fixing gas detector when data meet multiple mobile gas detector simultaneously, be equivalent to synchronization, same place WAP acquisition gas repetitive measurement value, these values form the multidimensional data point of gas, and sensing data process adopts the adaptive weighting data fusion algorithm based on sub-clustering; When same mobile gas detector does not arrive near different fixing gas detector in the same time, these data can form gas management data to value, and sensing data process adopts the confidence level blending algorithm of single-sensor many measuring periods;
For each class data anastomosing algorithm, define the degree of confidence lower limit that mobile gas detector allows
if, the degree of confidence of actual computation
, then is thought
iindividual mobile gas detector needs verification.Calculate mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time also verifies number of times and adds 1; After mobile gas detector is verified in a certain check-verifying period, algorithm is no longer to its duplication check.
The invention has the beneficial effects as follows: overall determination methods design employing point of fixity is detected as master, transfer point is detected as auxiliary data processing means; By gas surveying data are formed gas multidimensional data point and two-dimentional gas management data pair, calculate the degree of confidence of mobile gas management data, improve the reliability detecting data; The algorithm that the present invention adopts can effectively judge to verify mobility detect node, pass through broadcast verification information, utilize contiguous point of fixity data as reference, automatically carry out the method that movable sensor detects data adjustment, thus greatly simplify the adjustment problem to mobile firedamp sensor; By the method, a large amount of coal-mine gas mobility detect data are effectively used, and bring in the Inspection and monitoring system of colliery, carry out united analysis and management, there is practicality widely.
Accompanying drawing explanation
Fig. 1 is principle of the invention schematic diagram.
In figure: 1, fixing gas detector, 2, WAP, 3, sensor pretreatment unit, 4, sensor identifying unit, 5, mobile gas detector, 6, down-hole switch, 7, mine platform of internet of things, 8, ground switch, 9, surface work station.
Embodiment
As shown in Figure 1, mine Internet of Things coal-mine gas mobility detect data processing method utilizes mine Internet of Things framework, install a WAP 2 additional on each fixing gas detector 1 side, WAP 1 adopts short wired mode to be connected with fixing gas detector 2, and power lead shares.WAP burnedly in advance need have simple sensor pretreatment unit 3 and sensor identifying unit 4 function program.Wear there is gas management function intelligent mine lamp workman when walking in down-hole, when its approach fixes gas detector, its detect mobile gas monitor data import the WAP be connected with fixing gas detector into.WAP collects the data that fixing gas detector detects and the data detected by way of the mobile gas detector 5 of WAP simultaneously, through simple process with after judging, is handed over by down-hole switch 6, mine Internet of Things transmission platform 7, ground
Change planes and 8 upload to surface work station 9, the data uploaded with other WAPs are carried out the overall situation and are judged.
Each WAP is based on the same decision task of local detection complete independently of oneself, and the measurement vector in conjunction with the local result of decision is sent to surface work station.Overall situation result of determination is issued to each WAP (WAP with the forms of broadcasting
1~ WAP
n+M), WAP is responsible for the fixing gas detector notifying neighbouring mobile gas detector and be attached thereto.Utilize contiguous fixing gas detector 1 to detect data to detect data to mobile gas detector 5 and carry out correlation analysis process, data are examined to mobile gas detector 5 and carries out Confidence Analysis, when degree of confidence reduces, mobile gas detector 5 is calibrated, to alleviate the workload that a large amount of mobile gas detector 5 sensor needs adjustment by net mine Internet of Things transmission platform 7 and WAP 2.Because check results is issued to each WAP with the forms of broadcasting, WAP is responsible for the fixing gas detector notifying neighbouring mobile gas detector and be attached thereto, and each moves gas detector and can be associated by some WAPs, thus ensure that check information is not lost.
If be provided with in mine
nindividual fixing gas detector,
mindividual mobile gas detector.Mobile gas detector and fixing gas detector detect data and there are following 2 kinds of situations:
(1) multiple mobile gas detector arrives near certain fixing gas detector simultaneously, is equivalent to synchronization, same place WAP (WAP) obtains gas repetitive measurement value, and these values form the multidimensional data point of gas, and its expression is
.Wherein,
for arriving fixing gas detector simultaneously
knear
mindividual mobile gas detector measure gas data (
),
for fixing gas detector
kthe gas data measured,
for the DATA REASONING time,
for measure site identifications (
k=1
n).After WAP (WAP) receives same mobile gas detector measurement data, consider that gas data do not have mutability, choose three the strongest data of RSSI value as reference data in this time period, and calculate its arithmetic average as gas detector measurement data mobile in this time period.Sensing data process adopts the adaptive weighting data fusion algorithm based on sub-clustering, owing to having
nindividual fixing gas detector, thus can be formed
nindividual bunch, in each bunch, algorithm is as follows:
1. the gas data estimation value that mobile gas detector is measured is calculated
;
2. the detection variance that each moves gas detector is calculated
;
3. weights are selected
overall measurement variance function in making bunch
minimum, can weighting factor be obtained
,
i=1…m
4. target parameter after merging in compute cluster
Wherein,
.
value can select by experience, optional here
,
.
5. the degree of confidence defining mobile gas detector is
,
i=1…m
Define mobile gas detector
itotal degree of confidence is
, wherein
pfor mobile gas detector
i?
nthe total degree that individual fixing gas detector occurs.
Definition
for the degree of confidence lower limit that mobile gas detector allows, if
, then is thought
iindividual mobile gas detector needs verification.Choose
corresponding
kset, calculates
arithmetic mean as mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time also verifies number of times and adds 1.
(2) same mobile gas detector, not arriving in the same time near different fixing gas detector, forms gas management data pair, be expressed as
...,
...,
.Wherein,
with
be respectively mobile gas detector
iat fixing gas detector
klocate mobile gas detector and fixing gas detector gas surveying value separately.Sensing data process adopts the confidence level blending algorithm of single-sensor many measuring periods.
1. the gas data offset that mobile gas detector and fixing gas detector are checked is calculated
2. from
ngroup measurement data centering, optionally
q(
) group data, often group comprise data to for
p(
), calculate that mobile gas detector and fixing gas detector check gas data distance
,
3. calculate
qgroup data accumulation distance
4. the degree of confidence defining mobile gas detector is
Same definition
for the degree of confidence lower limit that mobile gas detector allows, if
, then is thought
iindividual mobile gas detector needs verification.Calculate
arithmetic mean as mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time, and verify number of times and add 1.If find in the same time period, mobile firedamp sensor
icarried out verification, then this verification is cancelled.
If
, then
kpoint gas surveying data still press formula
calculate.Wherein,
.
value can select by experience, optional here
,
.
According to above-mentioned principle, solve the degree of confidence of mobility detect data, verification, and data processing and decision method under many firedamp sensors.
Claims (5)
1. a mine Internet of Things coal-mine gas mobility detect data processing method, it is characterized in that: utilize mine Internet of Things framework, at the other installation of each fixing gas detector (1) WAP (2) be made up of sensor pretreatment unit (3) and sensor identifying unit (4), WAP (2) will fix data that gas detector (1) detects and by way of WAP (2) the data simple process that detects of mobile gas detector (5) and after judging around, by down-hole switch (6), mine Internet of Things transmission platform (7), ground switch (8) uploads to surface work station (9), the data that all WAPs (2) are uploaded are carried out the overall situation and are judged by workstation, overall situation result of determination is issued to each WAP (2) with the forms of broadcasting, the fixing gas detector (1) that WAP (2) is responsible for the neighbouring mobile gas detector (5) of notice and is attached thereto,
The overall situation judges that detecting data with colliery point of fixity gas detector (1) takes as the leading factor, it is auxiliary for detecting data with mobile gas detector (5), form the coal-mine gas detection system of main and auxiliary combination, specific as follows: mobile gas detector and fixing gas detector to be detected data and be divided into gas multidimensional data point and gas management data to two class data; Arrive near certain fixing gas detector when data meet multiple mobile gas detector simultaneously, be equivalent to synchronization, same place WAP acquisition gas repetitive measurement value, these values form the multidimensional data point of gas, and sensing data process adopts the adaptive weighting data fusion algorithm based on sub-clustering; When same mobile gas detector does not arrive near different fixing gas detector in the same time, these data can form gas management data to value, and sensing data process adopts the confidence level blending algorithm of single-sensor many measuring periods;
For each class data anastomosing algorithm, define the degree of confidence lower limit that mobile gas detector allows
if, the degree of confidence of actual computation
, then is thought
iindividual mobile gas detector needs verification,
Calculate mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time also verifies number of times and adds 1; After mobile gas detector is verified in a certain check-verifying period, algorithm is no longer to its duplication check.
2. mine according to claim 1 Internet of Things coal-mine gas mobility detect data processing method, it is characterized in that: multiple mobile gas detector arrives near certain fixing gas detector simultaneously, WAP obtains gas repetitive measurement value, these values form the multidimensional data point of gas, and its expression is
, wherein, M is mobile gas detector quantity,
for arriving fixing gas detector simultaneously
knear
mindividual mobile gas detector measure gas data (
),
for fixing gas detector
kthe gas data measured,
for the DATA REASONING time,
for measure site identifications (
k=1
n), after WAP receives same mobile gas detector measurement data, consider that gas data do not have mutability, choose three the strongest data of RSSI value as reference data in this time period, and calculate its arithmetic average as gas detector measurement data mobile in this time period, sensor pretreatment unit adopts the adaptive weighting data fusion algorithm based on sub-clustering, owing to having
nindividual fixing gas detector, thus can be formed
nindividual bunch, in each bunch, algorithm is as follows:
1. the gas data estimation value that mobile gas detector is measured is calculated
;
2. the detection variance that each moves gas detector is calculated
;
3. weights are selected
overall measurement variance function in making bunch
minimum, can weighting factor be obtained
,
i=1…m，
j=1…m；
4. target parameter after merging in compute cluster
Wherein,
;
5. the degree of confidence defining mobile gas detector is
,
i=1…m；
Define mobile gas detector
itotal degree of confidence is
, wherein
pfor mobile gas detector
i?
nthe total degree that individual fixing gas detector occurs;
Definition
for the degree of confidence lower limit that mobile gas detector allows, if
, then is thought
iindividual mobile gas detector needs verification; Choose
corresponding
kset, calculates
arithmetic mean as mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time also verifies number of times and adds 1.
3. mine according to claim 1 Internet of Things coal-mine gas mobility detect data processing method, is characterized in that: same mobile gas detector, not arriving in the same time near different fixing gas detector, forms gas management data pair, be expressed as
...,
...,
; Wherein,
with
be respectively mobile gas detector
iat fixing gas detector
klocate mobile gas detector and fixing gas detector gas surveying value separately, sensor pretreatment unit adopts the confidence level blending algorithm of single-sensor many measuring periods, specific as follows:
1. the gas data offset that mobile gas detector and fixing gas detector are checked is calculated
；
2. from
ngroup measurement data centering, optionally
q(
) group data, often group comprise data to for
p(
), calculate that mobile gas detector and fixing gas detector check gas data distance
,
；
3. calculate
qgroup data accumulation distance
；
4. the degree of confidence defining mobile gas detector is
；
Same definition
for the degree of confidence lower limit that mobile gas detector allows, if
, then is thought
iindividual mobile gas detector needs verification; Calculate
arithmetic mean as mobile gas detector
iverification side-play amount, issue broadcast by looped network and fixed wireless access point to mobile firedamp sensor
icarry out orientation verification, mark checking time, and verify number of times and add 1; If find in the same time period, mobile firedamp sensor
icarried out verification, then this verification is cancelled;
If
, then
kpoint gas surveying data still press formula
calculate; Wherein,
.
4. mine according to claim 3 Internet of Things coal-mine gas mobility detect data processing method, is characterized in that:
,
.
5. the mine Internet of Things coal-mine gas mobility detect data processing method according to any one of claim 1-4, is characterized in that: WAP and fixing gas detector adopt short wired mode to be connected, and power lead shares.
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| CN103984026B (en) * | 2014-05-30 | 2017-08-22 | 江苏三恒科技股份有限公司 | Microseism waveform automatic marking system |
| CN105933388A (en) * | 2016-04-11 | 2016-09-07 | 贵州大学 | WSN data layered fusion method for plant growth monitoring |
| CN107035407A (en) * | 2017-04-14 | 2017-08-11 | 合肥酷庆信息科技有限公司 | A kind of monitoring of mine gas dynamic realtime and early warning system based on Internet of Things |
| CN107143378A (en) * | 2017-07-13 | 2017-09-08 | 上海应用技术大学 | A kind of Coal Mine Safety Monitoring System |
| CN112567241A (en) * | 2018-07-25 | 2021-03-26 | 山东诺方电子科技有限公司 | Environmental sensor collaborative calibration method |
| CN113284315B (en) * | 2021-04-06 | 2023-02-03 | 温州职业技术学院 | Miner safety monitoring system and calibration method |
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Inventor after: Wang Gang Inventor after: Zhang Shen Inventor after: Liu Weidong Inventor after: Zhu Jin Inventor after: Lei Xuefeng Inventor after: Cheng Tingting Inventor before: Wang Gang Inventor before: Zhang Shen Inventor before: Liu Weidong Inventor before: Lei Xuefeng Inventor before: Cheng Tingting |
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