Coal-mine gas movement detection data processing method of mine Internet of Things

A technology for coal mine gas and data processing, which is applied in mining equipment, mining equipment, earth-moving drilling, etc., can solve problems such as surge in workload and inability to meet moving points, and achieve improved reliability, wide practicability, and simplified adjustment. effect of the problem

Active Publication Date: 2014-02-26
CHINA UNIV OF MINING & TECH
3 Cites 7 Cited by

AI-Extracted Technical Summary

Problems solved by technology

The above-mentioned requirements and regulations are impossible to realize for the mobile point, for example: the mobile point cannot meet the requirements of the gas sensor installation site; when the mobile detection sensor is required to be calibrated with calibration gas every 10 days, thousands of The adjustment of the mobile detection sensor will b...
View more

Method used

[0021] Each wireless access point independently completes the same decision-making task based on its own local area detection, and transmits the measurement vector combined with the local area decision-making result to the ground workstation. The global judgment result is broadcast to each wireless access point (wireless access point 1 ~ wireless access point N+M), and the wireless access point is responsible for notifying the nearby mobile gas detector and the fixed gas detector connected to it instrument. Use the detection data of the adjacent fixed gas detector 1 to carry out correlation analysis and processing on the detection data of the mobile gas det...
View more

Abstract

The invention discloses a coal-mine gas movement detection data processing method of mine Internet of Things, relating to the technical field of coal-mine gas movement detection data processing. The coal-mine gas movement detection data processing method comprises the following steps: installing a wireless access point composed of a sensor preprocessing unit and a sensor judging unit near each fixed gas detector; after simply processing and judging data detected by the fixed gas detectors and data detected by mobile gas detectors around the wireless access points by the wireless access points, uploading the data to a ground workstation through an underground switch, a coal mine Internet of Things transmission platform and a ground switch, grouping the gas detected by the mobile gas detectors and the data detected by the fixed gas detectors into two kinds of data of multi-dimensional gas data points and gas detection data pairs by the ground workstation, carrying out global judgment by respectively adopting a clustering-based adaptive weighting data fusion algorithm and a single-sensor and multi-measurement period credibility fusion algorithm, and issuing a global judgment result to each wireless access point in a broadcasting form. The reliability of the detected data is improved.

Application Domain

Mining devicesFuel testing +1

Technology Topic

Data pointData processing +14

Image

  • Coal-mine gas movement detection data processing method of mine Internet of Things
  • Coal-mine gas movement detection data processing method of mine Internet of Things
  • Coal-mine gas movement detection data processing method of mine Internet of Things

Examples

  • Experimental program(1)

Example Embodiment

[0019] Such as figure 1 As shown, the mine IOT coal mine gas mobile detection data processing method uses the mine IOT architecture to install a wireless access point 2 beside each fixed gas detector 1, and the wireless access point 1 and the fixed gas detector 2 use short Wired connection, shared power cord. The wireless access point needs to be burned in in advance with a simple sensor preprocessing unit 3 and a sensor determination unit 4 functional program. When a worker wearing a smart miner's lamp with gas detection function is walking underground, when he passes through a fixed gas detector, the mobile gas monitoring data detected by him is transmitted to the wireless access point connected to the fixed gas detector. The wireless access point simultaneously collects the data detected by the fixed gas detector and the data detected by the mobile gas detector 5 passing through the wireless access point. After simple processing and determination, it passes through the underground switch 6, the mine Internet of Things transmission platform 7, and the ground traffic
[0020] The replacement 8 is uploaded to the ground station 9, and the data uploaded by other wireless access points is globally determined.
[0021] Each wireless access point independently completes the same decision-making task based on its own local area detection, and transmits the measurement vector combined with the local area decision result to the ground station. The global judgment result is sent to each wireless access point (wireless access point 1 ~Wireless access point N+M ), the wireless access point is responsible for notifying the nearby mobile gas detector and the fixed gas detector connected to it. Use the detection data of the adjacent fixed gas detector 1 to perform correlation analysis and processing on the detection data of the mobile gas detector 5, and perform confidence analysis on the detection data of the mobile gas detector 5. When the confidence is reduced, the network mine Internet of Things transmission platform 7 Calibrate the mobile gas detector 5 with the wireless access point 2 to reduce the workload of a large number of mobile gas detector 5 sensors that need to be adjusted. Since the verification result is sent to each wireless access point in the form of broadcast, the wireless access point is responsible for notifying the nearby mobile gas detector and the fixed gas detector connected to it, and each mobile gas detector will be The access point is associated to ensure that the verification information is not lost.
[0022] Installed in the mine N A fixed gas detector, M A mobile gas detector. There are two situations in the detection data of mobile gas detector and fixed gas detector:
[0023] (1) Multiple mobile gas detectors arrive at the vicinity of a fixed gas detector at the same time, which is equivalent to the wireless access point (wireless access point) at the same time and the same place obtaining multiple measurement values ​​of gas. These values ​​constitute multidimensional data of gas Point, its expression is. among them, To reach the fixed gas detector at the same time k Nearby m Gas data measured by a mobile gas detector ( ), Fixed gas detector k Measured gas data, Measure time for data, Identify the measurement location ( k =1... N ). After the wireless access point (wireless access point) receives the measurement data of the same mobile gas detector, considering that the gas data is not abrupt, select the three data with the strongest RSSI value as the benchmark data in the time period and calculate The arithmetic average value is used as the measurement data of the mobile gas detector in the time period. Sensor data processing uses adaptive weighted data fusion algorithm based on clustering. N A fixed gas detector, which can form N The algorithm in each cluster is as follows:
[0024] ①Calculate the estimated value of gas data measured by the mobile gas detector;
[0025] ②Calculate the detection variance of each mobile gas detector;
[0026] ③Select weight Make the total measurement variance function within the cluster The smallest available weighting factor
[0027] , i =1...m
[0028] ④Calculate the target parameters after fusion in the cluster
[0029]
[0030] among them,. The value of can be selected according to experience, here is optional ,.
[0031] ⑤ Define the confidence of the mobile gas detector as
[0032] , i =1...m
[0033] Define mobile gas detector i The total confidence is ,among them P For mobile gas detector i in N The total number of occurrences of a fixed gas detector.
[0034] definition Is the lower limit of the allowable confidence of the mobile gas detector, if , It is considered that i A mobile gas detector needs calibration. Select Corresponding k Collection, calculation The arithmetic mean value of as a mobile gas detector i Check the offset, send a broadcast message to the mobile gas sensor through the ring network and the fixed wireless access point i Carry out directional verification, mark the verification time and add 1 to the verification times.
[0035] (2) The same mobile gas detector arrives near different fixed gas detectors at different times to form a gas detection data pair, expressed as { ,..., ,..., }. among them, with Respectively mobile gas detector i In the fixed gas detector k The respective gas measurement values ​​of the mobile gas detector and the fixed gas detector. The sensor data processing adopts the credibility fusion algorithm of single sensor and multiple measurement periods.
[0036] ①Calculate the gas data offset between the mobile gas detector and the fixed gas detector
[0037]
[0038] ②From N Group measurement data alignment, optional Q ( ) Group data, each group contains data pairs as P ( ), calculate the distance between the mobile gas detector and the gas data tested by the fixed gas detector
[0039] ,
[0040] ③Calculate Q Group data cumulative distance
[0041]
[0042] ④ Define the confidence of the mobile gas detector as
[0043]
[0044] Same definition Is the lower limit of the allowable confidence of the mobile gas detector, if , It is considered that i A mobile gas detector needs calibration. Calculation The arithmetic mean value of as a mobile gas detector i Check the offset, send a broadcast message to the mobile gas sensor through the ring network and the fixed wireless access point i Carry out directional verification, mark the verification time, and add 1 to the number of verifications. If found within the same time period, move the gas sensor i If the verification has been carried out, this verification is invalid.
[0045] in case ,then k Point gas measurement data still follow the formula Calculation. among them,. The value of can be selected according to experience, here is optional ,.
[0046] According to the above principles, the reliability and verification of the mobile detection data, as well as the data processing and decision methods under the multi-gas sensor are solved.

PUM

no PUM

Description & Claims & Application Information

We can also present the details of the Description, Claims and Application information to help users get a comprehensive understanding of the technical details of the patent, such as background art, summary of invention, brief description of drawings, description of embodiments, and other original content. On the other hand, users can also determine the specific scope of protection of the technology through the list of claims; as well as understand the changes in the life cycle of the technology with the presentation of the patent timeline. Login to view more.

Similar technology patents

Control system and method for motor vehicles

InactiveUS20040084002A1improve reliabilityspeed and stability
Owner:TOYOTA JIDOSHA KK

Installation management method, server and terminal for application program

InactiveCN102446106Aprevent crackingImprove reliability
Owner:LENOVO (BEIJING) CO LTD

Unmanned aerial vehicle flight control system having multisensor redundant backup

ActiveCN105867414AIncrease flight control weight and costImprove reliability
Owner:ZHEJIANG UNIV

Classification and recommendation of technical efficacy words

  • Improve reliability

Multiple branch predictions

ActiveUS20050268075A1improve reliabilityfacilitate availability
Owner:ORACLE INT CORP

Implantable lead

ActiveUS20100137928A1good flexibility , fatigue resistance and flex lifeimprove reliability
Owner:WL GORE & ASSOC INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products