CN-121994405-A - Wireless self-calibration high-precision mine pressure sensor device and data accurate transmission method thereof
Abstract
The invention relates to the technical field of data transmission and discloses a wireless self-calibration high-precision mine pressure sensor device and a data precision transmission method thereof, wherein the device periodically or triggerably corrects the zero point and the sensitivity of a pressure sensitive component through an embedded self-calibration unit so as to maintain the measurement accuracy for a long time; in the data transmission link, the pressure data is packaged by using a specific channel coding and error correction mechanism, and is sent to a receiving end by adopting an anti-interference modulation mode. The invention overcomes the negative influence of underground high-humidity and strong-vibration environments on the sensor attribute and wireless signal transmission, and realizes accurate acquisition and reliable return of mine pressure data.
Inventors
- ZHAO YUMING
- WU XIANG
- ZHAO GUOQI
- Zheng Lankuang
- HUANG YUXIN
- ZHANG PEI
- CHEN LU
- ZHAO TIANXIANG
- ZHOU JIAN
- HAN FEI
Assignees
- 淮北矿业股份有限公司
- 四川航天电液控制有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20251228
Claims (9)
- 1. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof are characterized in that the device comprises a coaxial strain body, a metal shell and a radio frequency transmission module, wherein the coaxial strain body, the metal shell and a reflux path of the radio frequency transmission module form a structural electromagnetic coupling induction loop electrically, and the method comprises the following steps: Collecting raw strain measurement data of the coaxial strain body; in the turn-off stage after the radio frequency transmitting module completes the transmitting action, sampling a radio frequency turn-off transient response signal in a circuit, calculating a transient energy attenuation time constant, and generating a structural dielectric loss characteristic value by combining the transmitting carrier frequency of the current frame; The structural dielectric loss characteristic value is used as a characteristic parameter for representing the structural surface dielectric loss state, is converted into an environment coupling drift parameter through a mapping function, and the zero drift quantity and the gain calibration quantity of the current frame are calculated according to the environment coupling drift parameter; Correcting the original strain measurement data by utilizing the zero drift amount and the gain calibration amount to obtain calibration stress, and constructing a data load containing the structural dielectric loss characteristic value; And calculating the next uplink transmission period and the repeated transmission times of the current frame by using a continuous function according to the structural dielectric loss characteristic value, and executing data transmission according to the calculation result.
- 2. The wireless self-calibrating high precision mine pressure sensor device and its data accurate transmission method according to claim 1, wherein collecting the original strain measurement data of the coaxial strain body comprises: The method comprises the specific processes of simultaneously collecting original digital sampling values of a strain measurement channel and on-board temperature data at the initial moment of each measurement period, and executing finite impulse response digital filtering with fixed orders on the original digital sampling values, wherein the specific processes of the finite impulse response digital filtering are that a series of original digital sampling values at the current moment and the historical moment are respectively multiplied by preset filtering coefficients and accumulated to obtain the original strain measurement data.
- 3. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein in a turn-off stage after the radio frequency transmitting module completes a transmitting action, a radio frequency turn-off transient response signal in a circuit is sampled, and a transient energy decay time constant is calculated, comprising: The method comprises the steps of acquiring a radio frequency turn-off transient response signal at a fixed sampling rate, selecting two fixed time windows after turn-off time, respectively calculating root mean square of signal amplitudes in the two fixed time windows to obtain a first window amplitude and a second window amplitude, calculating time difference of central moments of the two fixed time windows, and dividing the time difference by natural logarithm of the ratio of the first window amplitude to the second window amplitude to obtain the transient energy attenuation time constant.
- 4. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein generating a structural dielectric loss characteristic value in combination with a transmission carrier frequency of a current frame comprises: The method comprises the steps of obtaining a transmitting carrier frequency used for transmitting a current data frame, multiplying the transmitting carrier frequency by a circumference rate and a value II, converting the circumference rate and the value II into corresponding transmitting carrier angular frequencies, multiplying the transmitting carrier angular frequencies by the transient energy attenuation time constant, and obtaining the structural dielectric loss characteristic value.
- 5. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein the characteristic value of the structural dielectric loss is used as a characteristic parameter for representing the state of the structural surface dielectric loss, and the characteristic value is converted into an environment coupling drift parameter through a mapping function, and the method comprises the following steps: The method comprises the steps of determining a factory calibration reference constant in advance, calculating the ratio of the structural dielectric loss characteristic value to the factory calibration reference constant, adding the ratio to a value one, and then obtaining a natural logarithm, wherein the calculated result is the environment coupling drift parameter.
- 6. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 5, wherein calculating the zero drift amount and the gain calibration amount of the current frame comprises: The method comprises the steps of obtaining a factory solidifying coefficient, a reference temperature and on-board temperature data acquired at the current moment, calculating the zero drift amount, wherein the calculation process comprises the steps of accumulating the zero constant term coefficient, the product of a zero primary term coefficient and the environment coupling drift parameter, the product of a zero secondary term coefficient and the square of the environment coupling drift parameter and the product of the zero temperature coefficient and the on-board temperature data relative to a reference temperature difference value, calculating the gain calibration amount, and the calculation process comprises the steps of accumulating the product of a gain primary term coefficient and the environment coupling drift parameter, the product of a gain secondary term coefficient and the square of the environment coupling drift parameter and the product of the gain temperature coefficient and the on-board temperature data relative to the reference temperature difference value, then obtaining a natural index, and multiplying a calculation result and the gain constant term coefficient.
- 7. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein the correcting the original strain measurement data by using the zero drift amount and the gain calibration amount to obtain calibration stress comprises the following steps: subtracting the zero drift amount from the original strain measurement data to obtain an intermediate difference value; dividing the intermediate difference by the gain calibration quantity to obtain the calibration stress.
- 8. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein constructing a data load containing the structural dielectric loss characteristic value comprises: dividing the calibration stress by a preset stress quantization step length and rounding to obtain a quantized stress value, dividing the structural dielectric loss characteristic value by a preset characteristic value quantization step length and rounding to obtain a quantized characteristic value, and packaging the quantized stress value, the quantized characteristic value, quantized on-board temperature data, a model version number and a cyclic redundancy check code according to a preset sequence to form the data load.
- 9. The wireless self-calibration high-precision mine pressure sensor device and the data accurate transmission method thereof according to claim 1, wherein according to the structural dielectric loss characteristic value, calculating the next uplink transmission period and the number of repeated transmission of the current frame by using a continuous function, and executing data transmission according to the calculation result, comprising: The next uplink transmission period is calculated by calculating the difference between the maximum transmission period and the minimum transmission period, dividing the difference by a denominator term, and adding a quotient to the minimum transmission period, wherein the denominator term is the sum of a numerical value one and a natural index term, the difference of a cycle adjustment turning point subtracted by the structural dielectric loss characteristic value is calculated, the index of the natural index term is the product of a negative cycle adjustment slope and the difference, the number of repeated transmission of the current frame is calculated, the calculation process is that the difference between the maximum number of repeated times and the numerical value one is calculated, the difference is multiplied by a logistic function term, then the sum of the result and the numerical value one is rounded down, the denominator of the logistic function term is the sum of the numerical value one and the natural index term, the difference of the retransmission adjustment turning point subtracted by the structural dielectric loss characteristic value is calculated, and the index of the natural index term is the product of the retransmission adjustment slope and the difference.
Description
Wireless self-calibration high-precision mine pressure sensor device and data accurate transmission method thereof Technical Field The invention relates to the technical field of data transmission, in particular to a wireless self-calibration high-precision mine pressure sensor device and a data accurate transmission method thereof. Background The real-time monitoring of the pressure of the underground roof of the coal mine is an important link for guaranteeing the safe production of the coal mine, and the pressure monitoring equipment arranged on the hydraulic support is generally relied on to acquire the resistance distribution data of the working face. Along with the promotion of intelligent construction of coal mines, higher requirements are put forward on the accuracy and timeliness of mine pressure monitoring data. The existing mine pressure monitoring system mostly adopts strain gauge type or piezoresistive type sensors, and the acquired analog quantity or digital quantity is transmitted to a centralized control center in a wired or simple wireless mode, so that analysis of a roof pressure law and evaluation of a bracket working state are realized, and safety of coal mining operation is guided. However, the downhole operation environment is extremely severe, and there are cases such as high humidity, dust accumulation, strong vibration, and severe temperature fluctuation for a long time. Due to the material properties and physical mechanisms of the pressure sensor, the problems of zero drift, sensitivity reduction, nonlinear error accumulation and the like are very easy to occur after the traditional pressure sensor is operated for a long time. The existing monitoring equipment generally lacks an autonomous correction and compensation mechanism, and usually requires manual periodic calibration maintenance, so that the operation and maintenance cost is increased, and the accuracy of data in a full life cycle is difficult to ensure. In addition, in the aspect of data transmission, a cable is easy to break by falling rocks or damage due to equipment movement, and the existing wireless transmission scheme is extremely easy to be influenced by multipath effect and electromagnetic interference in a long and narrow multi-metal shielding roadway space, so that packet loss, verification errors or timing confusion of data occur in the transmission process, and the reliability of a monitoring system is seriously influenced. Disclosure of Invention The invention provides a wireless self-calibration high-precision mine pressure sensor device and a data accurate transmission method thereof, which solve the technical problems in the background technology. The invention provides a wireless self-calibration high-precision mine pressure sensor device and a data accurate transmission method thereof, wherein the device comprises a coaxial strain body, a metal shell and a radio frequency emission module, the coaxial strain body, the metal shell and a reflux path of the radio frequency emission module electrically form a structural electromagnetic coupling induction loop, and the method comprises the following steps: Collecting raw strain measurement data of the coaxial strain body; in the turn-off stage after the radio frequency transmitting module completes the transmitting action, sampling a radio frequency turn-off transient response signal in a circuit, calculating a transient energy attenuation time constant, and generating a structural dielectric loss characteristic value by combining the transmitting carrier frequency of the current frame; The structural dielectric loss characteristic value is used as a characteristic parameter for representing the structural surface dielectric loss state, is converted into an environment coupling drift parameter through a mapping function, and the zero drift quantity and the gain calibration quantity of the current frame are calculated according to the environment coupling drift parameter; Correcting the original strain measurement data by utilizing the zero drift amount and the gain calibration amount to obtain calibration stress, and constructing a data load containing the structural dielectric loss characteristic value; And calculating the next uplink transmission period and the repeated transmission times of the current frame by using a continuous function according to the structural dielectric loss characteristic value, and executing data transmission according to the calculation result. The self-calibration loop is built in the sensor, so that autonomous sensing and dynamic compensation of measurement errors are realized, the influence of environmental factors on measurement accuracy is eliminated, and the integrity and accuracy of pressure data in a complex roadway environment are effectively ensured by combining a data transmission mechanism resisting multipath fading and strong electromagnetic interference, so that the timeliness and the confidence of roof pressure monit