CN106302729A - Current potential based on Data Fusion Structure and temperature acquisition network transmission system - Google Patents

Abstract

Potential and temperature acquisition network transmission system based on data fusion structure. The purpose of the present invention is to fuse the multi-channel data collected by using the multi-sensor data fusion algorithm based on the Kalman filter to obtain more accurate potential and temperature variables The estimated value, and then use the combination of the two variables to solve the problem of the location of the salient point. At the same time, the real-time database and non-real-time database technology is used to store and transmit data, and the function of the Ethernet control circuit will be processed through a parallel fusion structure algorithm. The final 32-channel potential value and 32-channel temperature value are sent to the server, and computer technology is used to interpret and describe the obtained data consistently, so that the change of the geological environment of the point to be measured can be accurately obtained.

Description

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

technical field

The invention relates to the fields of data signal detection and network communication, in particular to a potential and temperature acquisition network transmission system based on a data fusion structure.

Background technique

In the era of rapid development of global economy and technology, intelligent perception technology and sensor detection technology are also constantly developing and progressing. Accurate sensor information acquisition is very critical in geological environment detection such as coal mines, oil exploration, bridges and dams. For example, in the process of underground mining and production in coal mines, the original stress balance of the underground is broken, and a large number of surrounding rock instability occurs, which constitutes a hazard to coal production safety. Safety and reliability require the sensor to collect accurate data for analysis, and the ability to detect and analyze accurate data in a timely and accurate manner will greatly reduce accidents in production work. Therefore, in order to prevent various prominent hazards in various production work, To achieve real-time collection of data on geological state changes in various working processes, and through the fusion algorithm analysis of the collected data, for the purpose of reliably locating the position of the prominent point, a potential and temperature collection network transmission based on the data fusion structure was invented. system.

In order to obtain the necessary information provided by external sensors to perceive the surrounding environment more accurately and with the complexity of the working environment and work tasks, a single sensor can no longer meet the robustness requirements of the system. Therefore, the application of multi-sensors and their data Fusion technology is constantly being used and innovated in system development and design. It obtains a more accurate positioning of the measured environment or object through data association, correlation and combination, etc., makes full use of the data resources of different time and space sensors, and uses computer technology for analysis to obtain consistent interpretation and consistency of the measured object. description, and then realize the corresponding decision-making of the system. Based on this idea, the present invention invents a potential and temperature acquisition network transmission system based on the data fusion structure.

Contents of the invention

The purpose of the present invention is to use the multi-sensor data fusion algorithm based on Kalman filtering to fuse the multi-channel data collected by the measurement data of the multi-sensors connected to the potential and temperature acquisition modules, thereby obtaining more accurate data of the potential and temperature variables. The estimated value of , and then using the combination of the two variables can well solve the problem of positioning the position of the salient point.

The technical problem to be solved by the present invention adopts the following technical solutions to realize:

A potential and temperature acquisition network transmission system based on data fusion structure. The composition of external sensors includes: 32-way electrode sensors, 32-way temperature sensors; other internal circuits include: signal differential input circuit, signal gain amplifier circuit, temperature transmitter, Low-pass filter circuit, Ethernet control circuit, main control circuit, TF memory card; software part includes: data fusion algorithm technology, database technology.

The 32-way electrode sensor and the 32-way temperature sensor adopt a parallel fusion structure, and the parallel multi-way sensor transmits data for fusion, and the parallel multi-way sensor transmits data for fusion, which refers to the sensor output data of 32-way potential acquisition data and 32-way temperature acquisition data All are input to the data fusion center at the same time, there is no influence between the 32-way potential acquisition sensor and the 32-way temperature acquisition sensor, the fusion center that receives the data comprehensively processes various types of data according to an appropriate method, and finally outputs the result to other internal circuit, and then passed to the main control circuit.

The software program uses the basic idea of the Kalman filter algorithm to process the data of the 32-way potential acquisition sensor and the 32-way temperature acquisition sensor. Constantly revise the estimate of the next state with a certain weight. Use the process model of the potential and temperature acquisition sensor system to predict their respective next states, apply the Kalman filter algorithm to 32 potential acquisition sensors and 32 temperature acquisition sensors, through the fusion of multiple data at different times and multi- The fusion of sensors, as a result, improves the accuracy of potential and temperature values, reduces uncertainty, obtains more accurate estimates of potential and temperature variables, and then uses the combination of the two variables to solve the positioning point of the prominent point. question.

The main control circuit includes the interconnected 32-bit ARM core chip STM32F107, the core chip DP8384C of the Ethernet control circuit, the TF memory card, and the PC man-machine interface. The data from different sensors is passed through the two 12 internal STM32 by using data fusion technology. 1-bit analog-to-digital converter processing modules are directly combined to obtain a set of unified output data. According to different data forms and different environmental descriptions from different sensors, the electrode sensor is transmitted The voltage analog quantity and the current analog quantity transmitted by temperature are combined with the different environments. The idea of its data fusion center is to first convert these different types of data into the same form, and then perform related processing, and then transfer the processed 32-channel potential acquisition signal, 32-channel temperature acquisition signal and one current signal through the network transmission protocol The TCP/IP protocol and the Ethernet interface communication circuit are transmitted to the PC man-machine interface, and the data can also be saved in the TF memory card for backup, effectively saving the historical data.

The function of the Ethernet control circuit is mainly to send the data collected by STM32F107 and the 32 potential values and 32 temperature values processed by the parallel fusion structure algorithm to the server. The Ethernet control circuit mainly uses an embedded chip plus an Ethernet network card chip. The Ethernet network card chip uses a DP83848C chip. The function provided by the DP83848C PHY layer chip is equivalent to the physical layer of the TCP/IP reference model. The MAC layer of the STM32F107 is equivalent to the data The link layer and the hardware interface adopt RMII interface mode, and the network control circuit effectively realizes the reliable and stable transmission of data and ensures the purpose of real-time data update.

The database technology adopts two types of database storage: real-time database and non-real-time database. The real-time database provides the observation results of current sensors, which can be provided to the fusion center in a timely and accurate manner for calculation, that is, the collected values of potential and temperature real-time changes. The non-real-time database stores the historical data of some sensors and the historical information of fusion calculation, that is, the actual historical collection and storage values of potential and temperature. The size of the information capacity stored in the database can expand the storage capacity through the external expansion storage unit TF memory card.

Description of drawings

Fig. 1 is overall control frame diagram of the present invention

Fig. 2 is a frame diagram of the Kalman filter control algorithm of the present invention

detailed description

In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

As shown in Figure 1, the external sensor of a potential and temperature acquisition network transmission system based on data fusion structure includes: 32-way electrode sensor (1), 32-way temperature sensor (2); other internal circuits include: signal differential input circuit (3), signal gain amplifier circuit (4), temperature transmitter (5), voltage sampling (6), low-pass filter circuit (7), Ethernet control circuit (8), main control circuit (9), TF memory card (10), 32-channel potential acquisition circuit (11), 32-channel temperature acquisition circuit (12); the software part includes: data fusion algorithm technology, database technology.

The 32-channel electrode sensor (1) and the 32-channel temperature sensor (2) adopt a parallel fusion structure, and the parallel multi-channel sensor transmits data for fusion, and the parallel multi-channel sensor transmits data for fusion. The data output by the data sensor is input to the data fusion center at the same time, and there is no influence between the 32-way electrode sensor (1) and the 32-way temperature sensor (2). Carry out comprehensive processing, and finally output the result to the internal circuit, and then to the main control circuit.

As shown in Figure 2, a potential and temperature acquisition network transmission system based on data fusion structure, the software program uses the basic idea of Kalman filter algorithm to process the data collected by 32 electrode sensors (1) and 32 temperature sensors (2). Processing; the basic idea of the Kalman filter algorithm is to multiply the deviation between the current measured value and the predicted estimated value of the previous moment by a certain weight to continuously correct the estimate of the next state. Using the process model of the potential and temperature acquisition sensor system to predict their respective next states, the Kalman filter algorithm is applied to the 32-way electrode sensor (1) and the 32-way temperature sensor (2), through multiple data at different times The fusion and the fusion of multiple sensors have improved the potential and temperature acquisition values, guaranteed the accuracy of the results, reduced the uncertainty, obtained more accurate estimates of the two variables of potential and temperature, and then used these two The combination of variables can well solve the problem of positioning the salient points.

The main control circuit includes the interconnected 32-bit ARM core chip STM32F107 (9), the core chip DP8384C of the Ethernet control circuit (8), the TF memory card (10), and the PC man-machine interface (13). The data transmitted by the sensor, through two 12-bit analog-to-digital converter processing modules inside the STM32F107(9), directly combines the collected two variable values to obtain a set of unified output data; The data form and the description of different environments combine the voltage analog quantity transmitted by the electrode sensor and the current analog quantity transmitted by the temperature with the different environments in which they are located. The idea of its data fusion center is to first convert these different types of data into the same form, and then perform related processing, and then use the processed 32-channel potential acquisition signal and 32-channel temperature acquisition signal as a coordinate point. , that is, the coordinate feature data, is transmitted to the PC man-machine interface (13) through the network transmission protocol TCP/IP protocol and the Ethernet interface control circuit (8), and the data can also be stored in the TF memory card (10) for backup, effectively The historical data is saved.

The function of the Ethernet control circuit (8) is mainly to send the data collected by the STM32F107 (9) and the 32 potential values and 32 temperature values processed by the parallel fusion structure algorithm to the server. The Ethernet control circuit (8) mainly uses an embedded chip plus an Ethernet network card chip. The Ethernet network card chip uses a DP83848C chip. The function provided by the DP83848C PHY layer chip is equivalent to the physical layer of the TCP/IP reference model. STM32F107 (9) comes with The MAC layer is equivalent to the data link layer, the hardware interface adopts the RMII interface mode, and the network control circuit effectively realizes the reliable and stable transmission of data and ensures the purpose of real-time data update.

The database technology adopts two database storage types: real-time database and non-real-time database. The real-time database provides the observation results of the current sensor and can be provided to the fusion center in a timely and accurate manner for calculation, that is, the collected values of potential and temperature real-time changes. The non-real-time database stores the historical data of some sensors and the historical information of fusion calculation, that is, the actual historical collection and storage values of potential and temperature. The information capacity stored in the database can expand the storage capacity through the external expansion storage unit TF memory card (10).

The basic principles and main features of the present invention and the advantages of the present invention have been shown and described above. Those skilled in the industry should understand that the present invention is not limited by the above-mentioned embodiments. What are described in the above-mentioned embodiments and the description only illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will also have Variations and improvements all fall within the scope of the claimed invention. The protection scope of the present invention is defined by the appended claims and their equivalents.

Claims (4)

1. a current potential based on Data Fusion Structure and temperature acquisition network transmission system, it is characterised in that: external sensor Composition include: 32 path electrode sensors, 32 tunnel temperature sensors；Internal circuit includes: signal differential input circuit, signal increase Benefit amplifying circuit, temperature transmitter, low-pass filter circuit, Ethernet control circuit, governor circuit, TF storage card.

A kind of current potential based on Data Fusion Structure and temperature acquisition network transmission system, it is special Levy and be: 32 path electrode sensors, 32 tunnel temperature sensors use Parallel Fusion structure, by 32 road potential acquisition data and 32 tunnels The data of the sensor output of temperature acquisition data are all simultaneously entered to data fusion center.

A kind of current potential based on Data Fusion Structure and temperature acquisition network transmission system, it is special Levy and be: the effect of Ethernet control circuit be the 32 road potential values that STM32F107 is collected and 32 road temperature value data and It is sent to server through Parallel Fusion structure algorithm process Hou 32 road potential value and 32 road temperature values.

A kind of current potential based on Data Fusion Structure and temperature acquisition network transmission system, it is special Levying and be: database technology uses real-time data base and two kinds of non-real-time data storehouse, real-time data base provides front electrode sensing The observed result of device and temperature sensor is for calculating；The historical data of non-real-time data some sensors of library storage and electricity Position, the historical information of fusion calculation of temperature value, the size of the information capacity of database purchase can be by outside extension storage list Unit's TF storage card expands memory capacity.