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Full scene ice thickness intelligent monitoring method and system

An intelligent monitoring and full-scenario technology, applied to measuring devices, instruments, optical devices, etc., can solve the problems of high risk, low efficiency, inaccurate monitoring data, etc., and achieve the effect of high risk

Active Publication Date: 2022-03-29
NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES
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AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the technical problems of low efficiency, high risk and inaccurate monitoring data in the existing ice thickness monitoring method, and provides a measurement and control communication device, a full-scenario ice thickness intelligent monitoring system and an ice thickness monitoring method
[0005] On the one hand, in order to solve the technical problems that the existing technology does not consider the influence of snow on the ice surface and underwater noise data, and the current technology does not combine the measurement of the distance measurement data under the ice to determine the ice thickness, resulting in inaccurate ice thickness monitoring results. The invention provides an intelligent monitoring method for ice thickness in the whole scene, including: obtaining ambient temperature, wind speed field data, snow fog concentration field data, ice area snow thickness, ice surface radar ranging data, ice water velocity field data, suspended sediment concentration field data, sub-ice surface ultrasonic ranging data, and water temperature;

Method used

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  • Full scene ice thickness intelligent monitoring method and system
  • Full scene ice thickness intelligent monitoring method and system
  • Full scene ice thickness intelligent monitoring method and system

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Experimental program
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Embodiment 1

[0031] Embodiment 1. The intelligent monitoring method of ice thickness in the whole scene, including: acquiring ambient temperature, wind speed field data, snow fog concentration field data, ice area snow thickness, ice surface radar ranging data, ice water velocity field data, suspended sediment Concentration field data, subsurface ultrasonic ranging data, and water temperature;

[0032] Based on the obtained wind speed field data, snow fog concentration field data, ice thickness and ice surface radar ranging data, and ambient temperature, the lightweight recurrent neural network Bi-LSTM is used to determine the ice surface elevation; based on the obtained ice Underwater flow velocity field data, suspended sediment concentration field data, sub-ice surface ultrasonic ranging data and water temperature, use lightweight recurrent neural network Bi-LSTM to determine sub-ice surface elevation; determine ice thickness based on ice surface elevation and sub-ice surface elevation ....

Embodiment 2

[0034] Embodiment 2. Obtaining snow and fog concentration field data can be obtained by using existing methods such as testing instruments. In order to make the results better A video image of the ice surface is collected at a specific distance from the upper surface (optionally using a high-definition anti-fog camera to collect video images). Quantitative analysis of fog concentration).

[0035]Optionally, the suspended sediment concentration field data (or underwater sediment content) in the specific embodiment is obtained by establishing a spatio-temporal regression model based on regular field measurement data of rivers or reservoirs. In a specific embodiment, the ultrasonic flow field meter can also be used to acquire ultrasonic images of the suspended sediment field, and then the residual network can be used to obtain the concentration of the suspended sediment field. In the specific embodiment, the ultrasonic flow field instrument is used to collect underwater ultrason...

Embodiment 3

[0036] Embodiment 3. Further, in order to be suitable for on-site data analysis, the residual network in the specific embodiment adopts the ResidualSqueezeNet model to divide the concentration of snow fog (sediment) into 10× in the direction of radar (ultrasonic) irradiation (transmission) and concentration 10 matrix, so as to realize the fine characterization and description of the concentration field, the overall flow chart is as follows figure 1 shown.

[0037] In the specific embodiment, the ultrasonic elevation measuring instrument can be used to obtain the ultrasonic ranging data of the sub-ice surface, the radar range finder (or dual-frequency radar range finder) can be used to obtain the radar ranging data of the ice surface, and the temperature acquisition module can be used to collect the temperature acquisition environment temperature, using the snow thickness monitor to obtain the snow thickness of the ice cover. The ultrasonic elevation measuring instrument, rada...

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Abstract

The invention provides a method and system for intelligent monitoring of ice thickness in the whole scene. The lightweight recurrent neural network Bi-LSTM determines the elevation of the ice surface; based on the sub-ice surface ultrasonic ranging data, water temperature, and the sub-ice water velocity field and suspended sediment concentration field obtained by using the underwater ultrasonic image combined with the residual network, using light Quantified recurrent neural network Bi‑LSTM determines sub-ice surface elevation; ice thickness is determined based on above-ice surface elevation and sub-ice surface elevation. The present invention fully considers conditions such as whether there is snow on the ice surface, temperature changes, and wind, snow, and fog interference, and the calculated ice thickness value is more accurate. The full-scenario ice thickness monitoring system provided effectively improves the measurement accuracy, maintenance The convenience of maintenance and the normal service life of equipment and facilities, with intelligent features such as self-adaptation, self-correction and self-calibration, have broad application and promotion value.

Description

technical field [0001] The invention relates to a method and system for intelligent monitoring of ice thickness in a full scene, and belongs to the technical field of ice prevention and disaster reduction for reservoirs and rivers. Background technique [0002] Ice thickness is an important parameter for calculating ice pressure load and freezing damage of building structures, and it is also an important basis for ice thickness prevention and disaster reduction in reservoir rivers. Currently, ice thickness monitoring methods include geological radar method and artificial ice drilling method. The former is not only unintuitive, but also susceptible to interference. The obtained ice thickness data is inaccurate and expensive, and long-term online monitoring cannot be realized; the latter is inefficient and dangerous, so it is imperative to develop a new type of intelligent monitoring system and method for ice thickness in all scenarios. Contents of the invention [0003] The...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/06
CPCG01B11/06
Inventor 方卫华李皓原建强薛志平张威
Owner NANJING AUTOMATION INST OF WATER CONSERVANCY & HYDROLOGY MINIST OF WATER RESOURCES