CN-121998369-A - Intelligent submersible pump selecting method and device under complex working condition of in-situ uranium mining and electronic equipment

CN121998369ACN 121998369 ACN121998369 ACN 121998369ACN-121998369-A

Abstract

The application discloses an intelligent type selecting method and device for a submersible pump under complex working conditions of in-situ leaching uranium mining and electronic equipment. The intelligent model selection technical field of the on-site leaching mining equipment comprises the steps of calculating dynamic water level dip by utilizing an improved Tess formula based on acquisition parameters in an on-site leaching uranium mining process, introducing permeability correction coefficients, pit shaft structure correction coefficients and organic matter viscosity correction coefficients into the improved Tess formula, respectively determining influences of multiple factors on performance of a submersible pump based on the dynamic water level dip and the acquisition parameters, constructing a multi-factor coupling performance reduction matrix according to the influences of the multiple factors on the performance of the submersible pump, calculating performance parameters of the submersible pump based on the multi-factor coupling performance reduction matrix, and calculating required power of the submersible pump under actual working conditions according to the performance parameters of the submersible pump, so as to determine a target pump type of the submersible pump. The application can improve the accuracy of the type selection of the submersible pump and can effectively manage, control, analyze and evaluate the submersible pump.

Inventors

JIA HAO
ZHANG LI
DU ZHIMING
TIAN YE
Li Qinci
WANG SICHEN
WANG YAAN
JIN JIASHENG
LI XUEZHONG

Assignees

核工业北京化工冶金研究院

Dates

Publication Date: 20260508
Application Date: 20260130

Claims (10)

1. An intelligent type selecting method for a submersible pump under complex working conditions of in-situ leaching uranium mining is characterized by comprising the following steps: Acquiring acquisition parameters in the process of in-situ leaching uranium mining; calculating dynamic water level drop depth by using an improved Tess formula based on the acquisition parameters, wherein a permeability correction coefficient, a shaft structure correction coefficient and an organic matter viscosity correction coefficient are introduced into the improved Tess formula; based on the dynamic water level drop and the acquisition parameters, determining the influence of multiple factors on the performance of the submersible pump respectively; constructing a multi-factor coupling performance reduction matrix according to the influence of the multi-factor on the performance of the submersible pump, and calculating the performance parameters of the submersible pump under the actual working condition based on the multi-factor coupling performance reduction matrix; calculating the submersible pump required power under the actual working condition according to the submersible pump performance parameters; And determining a target pump type of the submersible pump based on the submersible pump required power.
2. The method of claim 1, wherein the acquisition parameters include geological parameters, wellbore parameters, operating parameters, and leachate parameters, and wherein the calculating the dynamic water level dip using the modified tas equation based on the acquisition parameters comprises: Correcting the basic permeability coefficient to obtain the permeability correction coefficient; Calculating the wellbore structure correction coefficient based on the wellbore parameter; calculating the viscosity correction coefficient of the organic matter based on the leaching liquid parameter; Substituting the working condition parameters, the geological parameters, the permeability correction coefficient, the shaft structure correction coefficient and the organic matter viscosity correction coefficient into the improved Taylos formula for calculation to obtain the dynamic water level lowering.
3. The method of claim 1, wherein the multifactor comprises gas, sand, corrosion, and organics, and wherein the determining the influence of the multifactor on the performance of the submersible pump based on the dynamic water level dip and the acquisition parameters, respectively, comprises: Calculating the total lift of the foundation based on the dynamic water level lowering; respectively calculating the lift increment and the efficiency reduction rate caused by gas content based on the acquisition parameters and the basic total lift, and determining the power increment caused by gas content; determining the influence of the gas on the performance of the submersible pump based on the lift increment, the efficiency reduction rate and the power increment caused by the gas; respectively calculating the lift increment and the efficiency reduction rate caused by the sand based on the acquisition parameters and the basic total lift, and determining the power increment caused by the sand; Determining the influence of the sand on the performance of the submersible pump based on the lift increment, the efficiency reduction rate and the power increment caused by the sand; Based on the acquisition parameters, respectively calculating the lift increase and efficiency reduction rate caused by corrosion, and determining the power increment caused by corrosion; Determining the influence of corrosion on the performance of the submersible pump based on the lift increase, the efficiency reduction rate and the power increase caused by the corrosion; Respectively calculating lift increment, efficiency reduction rate and power increment caused by the organic matters based on the acquisition parameters; and determining the influence of the organic matters on the performance of the submersible pump based on the lift increment, the efficiency reduction rate and the power increment caused by the organic matters.
4. A method according to claim 3, wherein said calculating the gas-containing induced lift increase and efficiency degradation based on said acquisition parameters and said base total lift, respectively, and determining the gas-containing induced power increase comprises: based on the acquired data, calculating critical gas content, a bubble size influence factor and a gas composition influence index respectively; calculating efficiency under a gas-containing working condition based on the acquired data, the critical gas content, the bubble size influence factor and the gas component influence index; calculating the efficiency reduction rate caused by the gas based on the efficiency under the gas-containing working condition and the clean water working condition; and calculating the lift increase caused by the gas based on the acquired data, the critical gas content, the bubble size influence factor, the gas component influence index and the basic total lift.
5. A method according to claim 3, wherein said calculating the sand-induced lift increase and efficiency reduction rate based on said acquisition parameters and said base total lift, respectively, comprises: calculating a particle impact velocity based on the acquired data; Calculating a wear coefficient according to the particle impact speed and the acquisition parameters; Calculating efficiency under a sand-containing working condition based on the abrasion coefficient; calculating the efficiency reduction rate caused by the sand according to the efficiency under the sand working condition and the clean water working condition; and calculating the lift increment caused by the sand based on the basic total lift and the abrasion coefficient.
6. A method according to claim 3, wherein said calculating the increase in lift and the efficiency reduction rate caused by corrosion, respectively, based on said acquisition parameters, comprises: Based on the acquisition parameters, respectively calculating a pH value influence coefficient, a flow velocity influence index and an organic corrosion promotion factor; Calculating corrosion rate according to the pH value influence coefficient, the flow velocity influence index and the organic corrosion promotion factor; and respectively calculating the lift increase and the efficiency reduction rate caused by the corrosion based on the corrosion rate.
7. A method according to claim 3, wherein the calculating the lift increase, the efficiency degradation and the power increase caused by the organic matter based on the collection parameters comprises: calculating a total solid phase volume fraction based on the acquisition parameters; calculating a viscosity increase factor from the total solid phase volume fraction; calculating a mixed liquor viscosity based on the viscosity increase factor and the total solid phase volume fraction; calculating blocking probability based on the acquisition parameters, the particle aggregation coefficient and the influence coefficient of temperature on the organic matters; calculating an adhesion efficiency factor based on the acquired data; calculating an adhesion wear coefficient according to the adhesion efficiency factor, the material adhesion coefficient and the acquired data; And respectively calculating the lift increment, the efficiency reduction rate and the power increment caused by the organic matters based on the blockage probability, the mixed liquid viscosity and the adhesive wear coefficient.
8. Intelligent type selecting device of submersible pump under complicated working condition of in-situ leaching uranium mining, which is characterized by comprising: The acquisition unit is used for acquiring acquisition parameters in the process of in-situ leaching uranium mining; the first calculation unit is used for calculating the dynamic water level drop by utilizing an improved Taylos formula based on the acquisition parameters, wherein a permeability correction coefficient, a shaft structure correction coefficient and an organic matter viscosity correction coefficient are introduced into the improved Taylos formula; The first determining unit is used for respectively determining the influence of multiple factors on the performance of the submersible pump based on the dynamic water level drop and the acquisition parameters; The second calculation unit is used for constructing a multi-factor coupling performance reduction matrix according to the influence of the multi-factor on the performance of the submersible pump, and calculating the performance parameters of the submersible pump under the actual working condition based on the multi-factor coupling performance reduction matrix; the third calculation unit is used for calculating the submersible pump required power under the actual working condition according to the submersible pump performance parameters; And the second determining unit is used for determining the target pump type of the submersible pump based on the required power of the submersible pump.
9. A storage medium having stored thereon a computer program, which when executed by a processor, implements the method of any of claims 1 to 7.
10. An electronic device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.

Description

Intelligent submersible pump selecting method and device under complex working condition of in-situ uranium mining and electronic equipment Technical Field The application relates to the technical field of intelligent type selection of on-site leaching mining equipment, in particular to an intelligent type selection method and device for a submersible pump under complex working conditions of on-site leaching uranium mining and electronic equipment. Background The in-situ leaching uranium mining method is a mining method of injecting leaching solution into a mineral layer through drilling, dissolving uranium minerals and extracting uranium-containing leaching solution from a leaching hole. The submerged pump is used as core equipment of the liquid pumping hole, the rationality of the selection directly influences the production efficiency, the operation cost, the service life of the equipment and the production safety, and especially for acid-process in-situ leaching mines, the submerged pump is improper in selection and is extremely easy to damage. The method has important significance in engineering for effectively controlling, analyzing and evaluating the submersible pump. Currently, in the case of submersible pump type selection, it is generally assumed that the water level value is fixed. However, in the process of in-situ leaching uranium extraction, the water level can change with time, the permeability can change along with expansion of a liquid extraction area, and the mode in the prior art is likely to cause small selection power, so that early liquid extraction is difficult, or the selection power is large, so that later energy consumption is wasted. Disclosure of Invention In view of the above, the application provides an intelligent type selecting method and device for submersible pumps under complex working conditions of in-situ leaching uranium extraction and electronic equipment, which mainly aims at improving the accuracy of type selection of the submersible pumps and further ensuring the rationality of type selection of the submersible pumps. According to a first aspect of the application, an intelligent model selecting method for a submersible pump under complex working conditions of in-situ leaching uranium mining is provided, and the method comprises the following steps: Acquiring acquisition parameters in the process of in-situ leaching uranium mining; calculating dynamic water level drop depth by using an improved Tess formula based on the acquisition parameters, wherein a permeability correction coefficient, a shaft structure correction coefficient and an organic matter viscosity correction coefficient are introduced into the improved Tess formula; based on the dynamic water level drop and the acquisition parameters, determining the influence of multiple factors on the performance of the submersible pump respectively; constructing a multi-factor coupling performance reduction matrix according to the influence of the multi-factor on the performance of the submersible pump, and calculating the performance parameters of the submersible pump under the actual working condition based on the multi-factor coupling performance reduction matrix; calculating the submersible pump required power under the actual working condition according to the submersible pump performance parameters; And determining a target pump type of the submersible pump based on the submersible pump required power. According to a second aspect of the application, there is provided an intelligent submersible pump selecting device for complex working conditions of in-situ uranium mining, the device comprising: The acquisition unit is used for acquiring acquisition parameters in the process of in-situ leaching uranium mining; the first calculation unit is used for calculating the dynamic water level drop by utilizing an improved Taylos formula based on the acquisition parameters, wherein a permeability correction coefficient, a shaft structure correction coefficient and an organic matter viscosity correction coefficient are introduced into the improved Taylos formula; The first determining unit is used for respectively determining the influence of multiple factors on the performance of the submersible pump based on the dynamic water level drop and the acquisition parameters; The second calculation unit is used for constructing a multi-factor coupling performance reduction matrix according to the influence of the multi-factor on the performance of the submersible pump, and calculating the performance parameters of the submersible pump under the actual working condition based on the multi-factor coupling performance reduction matrix; the third calculation unit is used for calculating the submersible pump required power under the actual working condition according to the submersible pump performance parameters; And the second determining unit is used for determining the target pump type of the submersible pump based on the requi