CN109598915A - A kind of intelligent monitor system of coal water content - Google Patents
A kind of intelligent monitor system of coal water content Download PDFInfo
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- CN109598915A CN109598915A CN201811406019.0A CN201811406019A CN109598915A CN 109598915 A CN109598915 A CN 109598915A CN 201811406019 A CN201811406019 A CN 201811406019A CN 109598915 A CN109598915 A CN 109598915A
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
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Abstract
The present invention relates to a kind of intelligent monitor systems of coal water content characterized by comprising there are two test structures for setting on the portal frame being arranged in above coal transmission belt, the crossbeam of portal frame；The intelligent monitor system further includes having water level controller, and two detecting electrodes of water level controller are separately fixed in test structure；The water level controller is connected with electromagnetic relay, and alarm is connected to power supply by electromagnetic relay；The water level controller is communicated by wireless sending module with the wireless receiving module of coal mining control centre.
Description
Technical field
The invention belongs to the monitoring technical fields of coal water content, and in particular to a kind of intellectual monitoring system of coal water content
System.
Background technique
Coal ' moisture is the basic index for evaluating Coal Economy value, and there are no one for underground coal mine raw coal production process at present
Kind is capable of the system and device of effective dynamic monitoring raw coal moisture.How moisture to be monitored in coal production source,
To which the coal quality situation for dynamically grasping coal is most important.
Therefore, in view of the above-mentioned drawbacks in the prior art, the intelligent monitor system for designing a kind of coal water content is provided；With
Solve drawbacks described above in the prior art.
Summary of the invention
It is an object of the present invention to design a kind of coal water content in view of the above-mentioned drawbacks of the prior art, providing
Intelligent monitor system, to solve the above technical problems.
To achieve the above object, the present invention provides following technical scheme:
A kind of intelligent monitor system of coal water content characterized by comprising
There are two test structures for setting on the portal frame being arranged in above coal transmission belt, the crossbeam of portal frame；
The intelligent monitor system further includes having water level controller, and two detecting electrodes of water level controller are separately fixed at down
It visits in structure；
The water level controller is connected with electromagnetic relay, and alarm is connected to power supply by electromagnetic relay；
The water level controller is communicated by wireless sending module with the wireless receiving module of coal mining control centre.
Preferably, the test structure is test column, the bottom of the test column is provided with fixing seat；For solid
Determine the detecting electrode of water level controller.
Preferably, the alarm includes alarm lamp and buzzer.
Preferably, test column is fixed on the crossbeam of portal frame by telescopic rod, it is connected at the top of test column flexible
The other end of one end of bar, telescopic rod is connected on the crossbeam of portal frame.
Preferably, being carried out wireless communication between wireless receiving module and wireless sending module by following steps:
S1: positioning optimal node, specifically includes the following steps:
S1.1: the deviation distance of whole communication node relative tertiary locations is calculated by formula (1):
In formula, whole freed communications node quantity are indicated with pem, and all communication node numbers are indicated with q, pef=pem-q
×0.1；
S1.2: the field of communication service of setting cluster head communication node, formula are as follows:
In formula, the service cluster head quantity of leader cluster node is higher than 30 with nufll table in the region that wireless-transmission network is covered
Show；All communication node amount q in k-th of cluster headkIt indicates；
S1.3: the back end in region is grouped；
S1.4: communication node ratio is calculated separately for different groups；
S1.5: optimal communication node is determined in conjunction with the communication node rate value in S1.4；
S2: in conjunction with the optimal communication node in S1.4, weighting multicast number is established；And it is indicated in step S1.5 with Q (X)
Specific optimal communication number of nodes, uses xkConnectivity of the data between each optimal communication node is represented, h is usedp(v) communication is represented
The space coordinate of terminal, uses xpIndicate that pth data branch, λ represent corresponding impact factor；
Specific construction step is as follows:
S2.1: setting:
S2.2: the optimal communication node obtained to communication network screens, and current optimal communication node, which is arranged, to be used
xkIt is described, if k=0, thens follow the steps S2.3, otherwise enable Xh=XV；
S2.3: in entire communication network, all optimal communication nodes are searched out, if nt(xk) > 0, then it is optimal logical
Relationship between letter node and neighborhood optimal communication node is expressed as:
Communication constraint condition are as follows:
S2.4: if P (XV) < P (X), then return step S2.2 is calculated, and otherwise terminates operation.
Preferably, the water level controller is also connected with data storage, the data storage uses following methods
Carry out data storage:
It the step of S1, building database model, specifically includes:
S1.1, the distributed network lattice model stored using 3 × 3 mesh topologies building data, extract data characteristics point
Cloth gradient map obtains the quantization profile vector value that data store in database and is respectively as follows:
Wherein m is the Embedded dimensions of data space；
S1.2, the feature distribution region that R1 and R2 is database purchase distribution space is defined, acquires water level in a link layer
The data characteristics sequence of controller transmission,
It is as follows that vector quantization coding book is set according to data characteristics sequence:
The initial value of definition storage member are as follows:
S1.3, in link layer, the data sent to water level controller carry out coding training, obtain the vector pattern of information flow
It is as follows:
X (t)=(x0(t), x1(t) ..., xk-1(t))T；
S1.4, foundation cross-distribution cloud storage data structure, obtain each classification storage node in the database having been built up
Distance it is as follows:
Wherein ωj=(ω0j, ω1j..., ωK-1, j)TFor vector quantization weight；
S1.5, the output of quantization characteristic coded data is obtained:
Wherein,
It the step of S2, data clusters processing, specifically includes:
S2.1, in a link layer does self-adaptive features matching operation to the data of water level controller transmission, special according to statistics
Sorting algorithm is levied, data clusters center is obtained；
S2.2, in a link layer does segmentation fusion fuzzy clustering processing to the data of water level controller transmission, obtains fuzzy
Membership function；
Redundant storage data in S2.3, compression merging memory space, the dynamical output data of matching detection link layer, from
Dissipate scheduling data regression, the data of hierarchical fusion water level controller transmission；Realize the Feature Compression of data storage.Using the data
Storage method can be improved efficiency and the space of data storage；More data are stored in limited memory space.
The beneficial effects of the present invention are, it is easy to operate, it is easily installed, improves the sensitivity of water coal monitoring, and lead in time
Know that the shutdown of coal mining control centre is handled.To guarantee producing coal quality.
In addition, design principle of the present invention is reliable, structure is simple, has very extensive application prospect.
It can be seen that compared with prior art, the present invention have substantive distinguishing features outstanding and it is significant ground it is progressive, implementation
Beneficial effect be also obvious.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of the intelligent monitor system for coal water content that invention provides.
Fig. 2 is a kind of control principle drawing of the intelligent monitor system of coal water content provided by the invention.
Wherein, 1- transmission belt, 2- portal frame, 3- test structure, 4- water level controller, 4.1- detecting electrode, 5- electromagnetism
Relay, 6- alarm, 7- power supply, 9- coal mining control centre, 3.1- fixing seat, 10- telescopic rod, 11- data storage.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawing and by specific embodiment, and following embodiment is to the present invention
Explanation, and the invention is not limited to following implementation.
As illustrated in fig. 1 and 2, the intelligent monitor system of a kind of coal water content provided by the invention, comprising:
There are two test knots for setting on the portal frame 2 being arranged in above coal transmission belt 1, the crossbeam of portal frame 2
Structure 3；
The intelligent monitor system further includes having water level controller 4, and two detecting electrodes 4.1 of water level controller 4 are solid respectively
It is scheduled in test structure 3；
The water level controller 4 is connected with electromagnetic relay 5, and alarm 6 is connected to power supply 7 by electromagnetic relay 5；
The water level controller 4 is communicated by wireless sending module with the wireless receiving module of coal mining control centre 9.
In the present embodiment, the test structure 3 is test column, and the bottom of the test column is provided with fixing seat 3.1；
For fixing the detecting electrode of water level controller.
In the present embodiment, the alarm 6 includes alarm lamp and buzzer.
In the present embodiment, test column is fixed on the crossbeam of portal frame by telescopic rod 10, is connected at the top of test column
The other end of one end of telescopic rod, telescopic rod is connected on the crossbeam of portal frame.
In the present embodiment, carried out wireless communication between wireless receiving module and wireless sending module by following steps:
S1: positioning optimal node, specifically includes the following steps:
S1.1: the deviation distance of whole communication node relative tertiary locations is calculated by formula (1):
In formula, whole freed communications node quantity are indicated with pem, and all communication node numbers are indicated with q, pef=pem-q
×0.1；
S1.2: the field of communication service of setting cluster head communication node, formula are as follows:
In formula, the service cluster head quantity of leader cluster node is higher than 30 with nufll table in the region that wireless-transmission network is covered
Show；All communication node amount q in k-th of cluster headkIt indicates；
S1.3: the back end in region is grouped；
S1.4: communication node ratio is calculated separately for different groups；
S1.5: optimal communication node is determined in conjunction with the communication node rate value in S1.4；
S2: in conjunction with the optimal communication node in S1.4, weighting multicast number is established；And it is indicated in step S1.5 with Q (X)
Specific optimal communication number of nodes, uses xkConnectivity of the data between each optimal communication node is represented, h is usedp(v) communication is represented
The space coordinate of terminal, uses xpIndicate that pth data branch, λ represent corresponding impact factor；
Specific construction step is as follows:
S2.1: setting:
S2.2: the optimal communication node obtained to communication network screens, and current optimal communication node, which is arranged, to be used
xkIt is described, if k=0, thens follow the steps S2.3, otherwise enable Xh=XV；
S2.3: in entire communication network, all optimal communication nodes are searched out, if nt(xk) > 0, then it is optimal logical
Relationship between letter node and neighborhood optimal communication node is expressed as:
Communication constraint condition are as follows:
S2.4: if P (XV) < P (X), then return step S2.2 is calculated, and otherwise terminates operation.
In the present embodiment, the water level controller is also connected with data storage 11, and the data storage is using following
Method carries out data storage:
It the step of S1, building database model, specifically includes:
S1.1, the distributed network lattice model stored using 3 × 3 mesh topologies building data, extract data characteristics point
Cloth gradient map obtains the quantization profile vector value that data store in database and is respectively as follows:
Wherein m is the Embedded dimensions of data space；
S1.2, the feature distribution region that R1 and R2 is database purchase distribution space is defined, acquires water level in a link layer
The data characteristics sequence of controller transmission,
It is as follows that vector quantization coding book is set according to data characteristics sequence:
The initial value of definition storage member are as follows:
S1.3, in link layer, the data sent to water level controller carry out coding training, obtain the vector pattern of information flow
It is as follows:
X (t)=(x0(t), x1(t) ..., xk-1(t))T；
S1.4, foundation cross-distribution cloud storage data structure, obtain each classification storage node in the database having been built up
Distance it is as follows:
Wherein ωj=(ω0j, ω1j..., ωK-1, j)TFor vector quantization weight；
S1.5, the output of quantization characteristic coded data is obtained:
Wherein,
It the step of S2, data clusters processing, specifically includes:
S2.1, in a link layer does self-adaptive features matching operation to the data of water level controller transmission, special according to statistics
Sorting algorithm is levied, data clusters center is obtained；
S2.2, in a link layer does segmentation fusion fuzzy clustering processing to the data of water level controller transmission, obtains fuzzy
Membership function；
Redundant storage data in S2.3, compression merging memory space, the dynamical output data of matching detection link layer, from
Dissipate scheduling data regression, the data of hierarchical fusion water level controller transmission；Realize the Feature Compression of data storage.Using the data
Storage method can be improved efficiency and the space of data storage；More data are stored in limited memory space.
Disclosed above is only the preferred embodiment of the present invention, but the present invention is not limited to this, any this field
What technical staff can think does not have creative variation, and without departing from the principles of the present invention made by several improvement and
Retouching, should all be within the scope of the present invention.
Claims (6)
1. a kind of intelligent monitor system of coal water content characterized by comprising
There are two test structures for setting on the portal frame being arranged in above coal transmission belt, the crossbeam of portal frame；
The intelligent monitor system further includes having water level controller, and two detecting electrodes of water level controller are separately fixed at test knot
On structure；
The water level controller is connected with electromagnetic relay, and alarm is connected to power supply by electromagnetic relay；
The water level controller is communicated by wireless sending module with the wireless receiving module of coal mining control centre.
2. a kind of intelligent monitor system of coal water content according to claim 1, which is characterized in that the test knot
Structure is test column, and the bottom of the test column is provided with fixing seat.
3. a kind of intelligent monitor system of coal water content according to claim 2, which is characterized in that the alarm
Including alarm lamp and buzzer.
4. a kind of intelligent monitor system of coal water content according to claim 3, which is characterized in that test column is by stretching
Contracting bar is fixed on the crossbeam of portal frame, and one end of telescopic rod is connected at the top of test column, and the other end of telescopic rod is connected to
On the crossbeam of portal frame.
5. a kind of intelligent monitor system of coal water content according to claim 4, which is characterized in that wireless receiving module
It is carried out wireless communication between wireless sending module by following steps:
S1: positioning optimal node, specifically includes the following steps:
S1.1: the deviation distance of whole communication node relative tertiary locations is calculated by formula (1):
In formula, whole freed communications node quantity are indicated with pem, and all communication node numbers are indicated with q, pef=pem-q ×
0.1；
S1.2: the field of communication service of setting cluster head communication node, formula are as follows:
In formula, the service cluster head quantity of leader cluster node is higher than 30 and is indicated with nufll in the region that wireless-transmission network is covered；The
All communication node amount q in k cluster headkIt indicates；
S1.3: the back end in region is grouped；
S1.4: communication node ratio is calculated separately for different groups；
S1.5: optimal communication node is determined in conjunction with the communication node rate value in S1.4；
S2: in conjunction with the optimal communication node in S1.4, weighting multicast number is established；And it indicates to have defined in step S1.5 with Q (X)
Optimal communication number of nodes, use xkConnectivity of the data between each optimal communication node is represented, h is usedp(v) communication terminal is represented
Space coordinate, use xpIndicate that pth data branch, λ represent corresponding impact factor；
Specific construction step is as follows:
S2.1: setting:
S2.2: the optimal communication node obtained to communication network screens, and current optimal communication node, which is arranged, can use xkIt carries out
Description, if k=0, thens follow the steps S2.3, otherwise enables Xh=XV；
S2.3: in entire communication network, all optimal communication nodes are searched out, if nt(xk) > 0, then optimal communication section
Relationship between point and neighborhood optimal communication node is expressed as:
Communication constraint condition are as follows:
S2.4: if P (XV) < P (X), then return step S2.2 is calculated, and otherwise terminates operation.
6. a kind of intelligent monitor system of coal water content according to claim 5, which is characterized in that the water level control
Device is also connected with data storage, and the data storage carries out data storage using following methods:
It the step of S1, building database model, specifically includes:
S1.1, the distributed network lattice model stored using 3 × 3 mesh topologies building data, extract data characteristics distribution ladder
Degree figure obtains the quantization profile vector value that data store in database and is respectively as follows:
Wherein m is the Embedded dimensions of data space；
S1.2, the feature distribution region that R1 and R2 is database purchase distribution space is defined, acquires water level control in a link layer
The data characteristics sequence of device transmission,
It is as follows that vector quantization coding book is set according to data characteristics sequence:
The initial value of definition storage member are as follows:
S1.3, in link layer, the data sent to water level controller carry out coding training, obtain the vector pattern of information flow such as
Under:
X (t)=(x0(t), x1(t) ..., xk-1(t))T；
S1.4, according to cross-distribution cloud storage data structure, obtain each classification storage node in the database having been built up away from
From as follows:
Wherein ωj=(ω0j, ω1j..., ωK-1, j)TFor vector quantization weight；
S1.5, the output of quantization characteristic coded data is obtained:
Wherein,
It the step of S2, data clusters processing, specifically includes:
S2.1, in a link layer does self-adaptive features matching operation to the data of water level controller transmission, according to statistical nature point
Class algorithm obtains data clusters center；
S2.2, in a link layer does segmentation fusion fuzzy clustering processing to the data of water level controller transmission, obtains fuzzy membership
Function；
S2.3, compression merge the redundant storage data in memory space, the dynamical output data of matching detection link layer, discrete tune
Spend data regression, the data of hierarchical fusion water level controller transmission；Realize the Feature Compression of data storage.
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Application publication date: 20190409 |