NL2024502B1 - Potential and temperature acquisition network transmission system based on data fusion structure - Google Patents

Potential and temperature acquisition network transmission system based on data fusion structure Download PDF

Info

Publication number
NL2024502B1
NL2024502B1 NL2024502A NL2024502A NL2024502B1 NL 2024502 B1 NL2024502 B1 NL 2024502B1 NL 2024502 A NL2024502 A NL 2024502A NL 2024502 A NL2024502 A NL 2024502A NL 2024502 B1 NL2024502 B1 NL 2024502B1
Authority
NL
Netherlands
Prior art keywords
potential
temperature
data fusion
data
acquisition
Prior art date
Application number
NL2024502A
Other languages
Dutch (nl)
Inventor
Li Ruijin
Sun Leilei
Guo Laigong
Ouyang Mingsan
Original Assignee
Univ Anhui Sci & Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Univ Anhui Sci & Technology filed Critical Univ Anhui Sci & Technology
Application granted granted Critical
Publication of NL2024502B1 publication Critical patent/NL2024502B1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C19/00—Electric signal transmission systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The present invention discloses a potential and temperature acquisition network transmission system based on a data fusion structure, and the potential and temperature acquisition network transmission system includes a potential acquisition system, a temperature acquisition system and a data fusion center; and acquired data is input into the data fusion center by the potential acquisition system and the temperature acquisition system respectively, two database storage types, i.e., a real-time database and a non-real-time database are adopted, the real-time database provides observation results of current sensors, the observation results can be provided to the fusion center 10 accurately in time for calculation, and thus potential and temperature real-time change acquisition values are obtained. The non-real-time database stores historical data of some sensors and historical information of fusion calculation, and thus potential and temperature historical acquisition storage values are obtained.

Description

POTENTIAL AND TEMPERATURE ACQUISITION NETWORK TRANSMISSION SYSTEM BASED ON DATA FUSION STRUCTURE
BACKGROUND Technical Field The present invention belongs to the field of data signal detection and network communication, and particularly relates to a potential and temperature acquisition network transmission system based on a data fusion structure. Related Art In detection of geological environments such as underground coal mines, oil exploration and bridge dams, it is very critical to obtain accurate sensor information, for example, in an underground coal mine mining production process, underground original stress balance is broken, the phenomenon of surrounding rock instability occurs in quantity accordingly, coal safety production hazards are caused, for example, in detection of bridge dam geological data, once flood impact happens, whether a dam is safe and reliable needs to be analyzed by acquiring accurate data through sensors, the accurate data can be detected accurately in time for analysis, accidents in production work can be reduced to a great extent, therefore, in order to prevent various serious hazards in various production work, data of geological state changes in various work processes needs to be acquired in real time, and by conducting fusion algorithm analysis on the acquired data, analysis is conducted by aiming at reliably positioning the positions of protruding points. In order to obtain necessary information provided by perceiving the surrounding environment by external sensors more precisely, due to the fact that a single sensor cannot well meet the requirements of a system for robustness along with the complexity of the working environment and work tasks, application of multiple sensors and a data fusion technology of the multiple sensors are constantly used and innovated in system development design.
SUMMARY In view of the shortcomings in the prior art, the present invention aims to provide a potential and temperature acquisition network transmission system based on a data fusion structure, through fusion of acquired multi-way data, more accurate estimated values of potential and temperature variables are obtained, and thus the problem of positioning of the positions of protruding points can be solved well through combination of the two variables.
The purpose of the present invention can be achieved through the following technical scheme: the potential and temperature acquisition network transmission system based on the data fusion structure includes a potential acquisition system, a temperature acquisition system and a data fusion center; according to the potential acquisition system, a potential signal is acquired by an electrode sensor and transmitted to a potential acquisition circuit, then the processed potential signal is subjected to signal differentiation and input into a circuit, and then a potential value amplified by a signal gain amplifying circuit is transmitted to the data fusion center; according to the temperature acquisition system, a temperature signal is acquired by a temperature sensor and transmitted to a temperature transmitter, then the processed temperature signal is subjected to voltage sampling, and subjected to low-pass filtering processing, and then a temperature value processed by a temperature acquisition circuit are transmitted to the data fusion center; and according to the data fusion center, the received potential value and temperature value are merged into uniform output data through conversion by an AD detector and a fusion algorithm, and the output data is transmitted to a PC human-computer interface through network transport protocols (TCP/IP) and an Ethernet interface communication circuit.
The present invention has the beneficial effects that:
1. Two database storage types, ie, a real-time database and a non-real-time database are adopted, the real-time database provides observation results of current sensors, the observation results can be provided for the fusion center accurately in time for calculation, and thus potential and temperature real-time change acquisition values are obtained. The non-real-time database stores historical data of some sensors and historical information of fusion calculation, and thus potential and temperature historical acquisition storage values are obtained.
2. The capacity of information stored in the data fusion center can be enlarged by an external expansion storage unit TF storage card.
BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is an overall control frame diagram of an embodiment of the present invention; Fig. 2 1s a Kalman filtering application principle frame diagram of the present invention.
DETAILED DESCRIPTION As shown in Fig. 1, an embodiment of the present invention provides a potential and temperature acquisition network transmission system based on a data fusion structure, and the potential and temperature acquisition network transmission system includes a potential acquisition system, a temperature acquisition system and a data fusion center.
According to the potential acquisition system, potential signals are acquired by electrode sensors and transmitted to a potential acquisition circuit, then processed potential signals are subjected to signal differentiation and input into a circuit, then potential values amplified by a signal gain amplifying circuit are transmitted to the data fusion center, a plurality of sets of electrode sensors are arranged according to the need, 32 sets of electrode sensors are selected in the embodiment, and meanwhile, 32 sets of temperature sensors are also adopted.
According to the temperature acquisition system, temperature signals are acquired by the temperature sensors and transmitted to a temperature transmitter, then processed temperature signals are subjected to voltage sampling, and subjected to low-pass filtering processing, and then temperature values processed by a temperature acquisition circuit are transmitted to the data fusion center. The 32 paths of potential acquisition sensors and the 32 paths of temperature acquisition sensors do not interact, the data fusion center comprehensively processes various types of data according to a proper method, and finally, output results are transmitted to internal other circuits and then transmitted to a main control circuit.
The data fusion center includes an interconnected 32-bit ARM core chip STM32F107, a core chip DP8384C of an Ethernet control circuit, a TF storage card and a PC human-computer interface, and a software program inside the data fusion center adopts the basic thought of a Kalman filtering algorithm to process data of the 32 paths of potential acquisition sensors and the 32 paths of temperature acquisition sensors, and a deviation between a current measured value and a predicted estimated value at the previous moment is multiplied by a certain weight to constantly correct estimation of the next state. The data transmitted by the different sensors pass through two 12-bit analog-digital converters, i.e, a potential AD detector and a temperature AD detector inside STM32 by using the data fusion center, potential values are converted by the potential AD detector, temperature values are converted by the temperature AD detector, and direct fusion is conducted to obtain a set of uniform output data, and according to different data forms and different environment descriptions transmitted by the different sensors, a voltage analog quantity transmitted by the electrode sensors and a current analog quantity transmitted by the temperature sensors are fused by combining different environments where the electrode sensors and the temperature sensors are located.
The thought of the data fusion center is that firstly, the different types of data are converted into the same form, and then are subjected to related processing, then the 32 paths of processed potential acquisition signals, the 32 paths of processed temperature acquisition signals and a path of processed current signal are transmitted to the PC human-computer interface through network transport protocols, i.e., TCP/IP protocols, and an Ethernet interface communication circuit, meanwhile, the data can further be stored in the TF storage card for backup, and thus historical data is effectively stored.
The main function of an Ethernet control circuit is that the data acquired by the STM32F107 chip and the 32 paths of potential values and the 32 paths of temperature values processed through a parallel fusion structure algorithm are sent to a server. The Ethernet control circuit mainly adopts an embedded chip and an Ethernet network card chip, a DP83848C chip is adopted as the Ethernet network card chip, a function provided by a DP83848C PHY layer chip is equivalent to a function provided by a physical layer of a TCP/IP reference model, an MAC layer of STM32F107 is equivalent to a data link layer, a hardware interface adopts an RMII interface mode, reliable and stable transmission of the data is effectively achieved through the network control circuit, and the purpose of real-time updating of the data is ensured.
Process models of potential and temperature acquisition sensor systems are utilized to predict the next states of the potential and temperature acquisition sensor systems, the Kalman filtering algorithm is applied to the 32 paths of potential acquisition sensors and the 32 paths of temperature acquisition sensors, and fusion of multiple pieces of data at 5 different moments and fusion of the multiple sensors result in that the precision of the potential values and the temperature values is improved, uncertainty is reduced, the more accurate estimated values of potential and temperature variables are obtained, and thus the problem of positioning points of protruding points can be solved well through combination of the two variables.

Claims (4)

Conclusies L Een transmissiesysteem voor een potentiaal- en temperatuuracquisitienetwerk op basis van een datafusiestructuur die een potentiaalacquisitiesysteem, een temperatuuracquisitiesysteem en een datafusiecentrum omvat; waarbij het genoemde potentiaalacquisitiesysteem: een potentiaalsignaal verzamelt via een elektrodesensor die dit verzendt naar het potentiaalacquisitiecircuit, het verwerkte potentiaalsignaal vervolgens blootstelt aan signaaldifferentiatie en toevoert aan een circuit, en vervolgens een potentiaalwaarde verzend dat is versterkt door een signaalsterkte versterkingcircuit naar het datafusiecentrum; waarbij het genoemde temperatuuragequisitiesysteem: een temperatuursignaal verzamelt door een temperatuursensor die dit verzendt naar een temperatuurzender, het verwerkte temperatuursignaal vervolgens onderwerpt aan spanningsbemonstering en blootstelt aan laagdoorlaatfiltering, en de temperatuurwaarde die is verwerkt door het temperatuuracquisitiecircuit vervolgens verzndt naar het datafusiecentrum; en waarbij het genoemde datafusiecentrum: de ontvangen potentiaalwaarde en temperatuurwaarde via AD-detectorconversie en fusie-algoritme in uniforme uitvoergegevens combineert en de uitvoergegevens naar een pc-mens-machine- interface via het netwerktransmissieprotocol en het Ethernet- interfacecommunicatiecircuit verzendt.Conclusions L A transmission system for a potential and temperature acquisition network based on a data fusion structure comprising a potential acquisition system, a temperature acquisition system and a data fusion center; wherein said potential acquisition system: collects a potential signal through an electrode sensor which sends it to the potential acquisition circuit, then exposes the processed potential signal to signal differentiation and supplies it to a circuit, and then transmits a potential value amplified by a signal strength amplification circuit to the data fusion center; wherein said temperature acquisition system: collects a temperature signal by a temperature sensor that transmits it to a temperature transmitter, then subjects the processed temperature signal to voltage sampling and subjected to low-pass filtering, and then transmits the temperature value processed by the temperature acquisition circuit to the data fusion center; and wherein said data fusion center: combines the received potential value and temperature value via AD detector conversion and fusion algorithm into uniform output data and transmits the output data to a PC-human-machine interface via the network transmission protocol and the Ethernet interface communication circuit. 2. Een transmissiesysteem voor het potentiaal- en temperatuuracquisitienetwerk op basis van de datafusiestructuur volgens conclusie 1, waarbij de AD-detector een onderling verbonden 32-bits ARM-kernchip STM32F 107 is.A transmission system for the potential and temperature acquisition network based on the data fusion structure according to claim 1, wherein the AD detector is an interconnected 32-bit ARM core chip STM32F 107. 3. Een transmissiesysteem voor het potentiaal- en temperatuuracquisitienetwerk op basis van de datafusiestructuur volgens conclusie 2, waarbij de genoemde AD- detector intern van een potentiaal AD-detector en een temperatuur AD-detector is voorzien; en een potentiaalwaarde wordt omgezet door de potentiaal AD-detector en de temperatuurwaarde wordt omgezet door de temperatuur AD-detectorA transmission system for the potential and temperature acquisition network based on the data fusion structure according to claim 2, wherein said AD detector is internally provided with a potential AD detector and a temperature AD detector; and a potential value is converted by the potential AD detector and the temperature value is converted by the temperature AD detector 4. Een transmissiesysteem voor het potentiaal- en temperatuuracquisitienetwerk op basis van de datafusiestructuur volgens conclusie 1, waarbij een reservekopie van gegevens die worden verwerkt door het datafusiecentrum op een TF-geheugenkaart worden opgeslagen. -0-0-0-0-0-A transmission system for the potential and temperature acquisition network based on the data fusion structure according to claim 1, wherein a backup copy of data processed by the data fusion center is stored on a TF memory card. -0-0-0-0-0-
NL2024502A 2019-11-29 2019-12-18 Potential and temperature acquisition network transmission system based on data fusion structure NL2024502B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911205075.2A CN110941678A (en) 2019-11-29 2019-11-29 Electric potential and temperature acquisition network transmission system based on data fusion structure

Publications (1)

Publication Number Publication Date
NL2024502B1 true NL2024502B1 (en) 2020-11-19

Family

ID=69909554

Family Applications (1)

Application Number Title Priority Date Filing Date
NL2024502A NL2024502B1 (en) 2019-11-29 2019-12-18 Potential and temperature acquisition network transmission system based on data fusion structure

Country Status (2)

Country Link
CN (1) CN110941678A (en)
NL (1) NL2024502B1 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205403855U (en) * 2016-03-11 2016-07-27 安徽理工大学 Current potential and temperature acquisition system
CN106302729A (en) * 2016-08-15 2017-01-04 安徽理工大学 Current potential based on Data Fusion Structure and temperature acquisition network transmission system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205403855U (en) * 2016-03-11 2016-07-27 安徽理工大学 Current potential and temperature acquisition system
CN106302729A (en) * 2016-08-15 2017-01-04 安徽理工大学 Current potential based on Data Fusion Structure and temperature acquisition network transmission system

Also Published As

Publication number Publication date
CN110941678A (en) 2020-03-31

Similar Documents

Publication Publication Date Title
AU2016365012A1 (en) Combined initial alignment system and alignment method for strapdown inertial navigation system of underground coal mining machine
CN105352504A (en) Inertial navigation-laser scanning integrated coal mining machine positioning device and method
CN114166221B (en) Auxiliary transportation robot positioning method and system in dynamic complex mine environment
CN204007775U (en) Transformer oil level on-line monitoring system
CN106482748B (en) A kind of interference type optical fiber gyroscope random walk method for diagnosing faults
CN109254532A (en) A kind of multiple agent cooperation fault detection method towards communication delay
NL2024502B1 (en) Potential and temperature acquisition network transmission system based on data fusion structure
CN114088091B (en) Multi-sensor-based underground mine pose fusion method and system
CN111335879A (en) Drilling track measuring device
CN103792155A (en) Bit wear prediction method based on inertia measurement parameters
CN109633610B (en) Error correction method for transistor type receiving circuit of pulse laser ranging system
CN203412572U (en) Drilling tester
CN109061723A (en) A kind of the microquake sources high-precision locating method and system of tunnel rock burst preparation process
CN206095257U (en) Integrated navigation system of robot is tourd to intelligence
CN102903209A (en) Surface collapse optical fiber monitoring and early warning system and method
CN206174952U (en) Drilling deviational survey device
CN109944594A (en) Full face rock tunnel boring machine junction fastening bolt strain monitoring method
CN204041050U (en) A kind of driller parameters monitoring device
Ling et al. Serviceability assessment of subway induced vibration of a frame structure using FEM
CN106302729A (en) Current potential based on Data Fusion Structure and temperature acquisition network transmission system
Dan et al. Application Of Strongly Tracking Kalman Filter In MEMS Gyroscope Bias Compensation
Wang et al. Compensation of Temperature Drift of Micro Gyroscope by BP neural network algorithm
Che et al. Research on Abnormal Monitoring of Sensor Data of Stadiums Based on Internet of Things Technology
Wang et al. Multi-Rate Data Fusion for Wireless Sensor Networks with Time-Delay Based on Improved Cubature Kalman Filter
Jia et al. Research on data fusion of surrounding rock mass in mine based on support degree and adaptive weighted

Legal Events

Date Code Title Description
MM Lapsed because of non-payment of the annual fee

Effective date: 20230101