CN-121978963-A - Control method and system of vertical shaft heading machine

CN121978963ACN 121978963 ACN121978963 ACN 121978963ACN-121978963-A

Abstract

The invention discloses a control method and a control system of a vertical shaft heading machine, which are applied to the field of vertical shaft heading machines, wherein the method comprises the steps of controlling the vertical shaft heading machine to adjust the working state of the vertical shaft heading machine by a received control signal, wherein the generation process of the control signal comprises the steps of obtaining geographic environment change information and determining stratum mutation strength of a working area based on the geographic environment change information; the method comprises the steps of determining an energy consumption disturbance index based on stratum mutation intensity at least, processing the energy consumption disturbance index to obtain a predicted energy consumption change rate of a working area, determining energy consumption prediction information based on the predicted energy consumption change rate and the corresponding stratum mutation intensity, obtaining electrical sampling data, verifying initial risk probability data determined based on the electrical sampling data to generate fault risk information, and generating a control signal based on the energy consumption prediction information and the fault risk information. According to the control method and the control system for the vertical shaft heading machine, the parameter adjustment accuracy is remarkably improved through accurate analysis of data.

Inventors

XIE PENGLIN
JIN LAN
REN XIAOYONG
PAN HAOMENG
Chen Ranfan
ZHOU CHENLONG
LIU TIANSHUN
SHAO YUANYUAN
FAN QUNYAN
GUO HECHUAN
TAN SHUPING
Zhou Chunju
WANG LINA

Assignees

国网浙江省电力有限公司永嘉县供电公司

Dates

Publication Date: 20260505
Application Date: 20260401

Claims (10)

1. The control method of the shaft heading machine is characterized by comprising the following steps: The method comprises the steps of controlling a target shaft heading machine to adjust the working state of the target shaft heading machine by a received control signal, wherein the working state at least comprises the main driving rotating speed and the propelling pressure of the target shaft heading machine, and the generation process of the control signal is as follows: in the working process of the target shaft heading machine, obtaining geographic environment change information of a working area corresponding to the target shaft heading machine, and determining stratum mutation intensity of the working area based on the geographic environment change information; determining an energy consumption disturbance index based at least on the formation mutation intensity, wherein the energy consumption disturbance index is used for representing the comprehensive disturbance degree of the formation mutation intensity on the energy consumption of the target vertical shaft heading machine; Processing the energy consumption disturbance index to obtain a predicted energy consumption change rate of the working area; determining energy consumption prediction information based on the predicted energy consumption change rate and the corresponding formation mutation intensity, and, Acquiring electrical sampling data of the target shaft heading machine in the working process; Determining initial risk probability data based on the electrical sampling data; verifying the initial risk probability data to generate fault risk information; the control signal is generated based on the energy consumption prediction information and the fault risk information.
2. The control method of a shaft boring machine according to claim 1, wherein the determining the formation mutation intensity of the work area based on the geographical environment change information includes: carrying out quantization processing on the geographic environment change information to obtain environment change characteristics; comparing the environmental change characteristics with a preset threshold library to determine mutation environmental change characteristics; Analyzing and processing the mutation environment change characteristics to determine geographic environment comprehensive evaluation information; and carrying out quantitative normalization treatment on the comprehensive evaluation information of the geographic environment, and determining the stratum mutation intensity.
3. The method of controlling a shaft boring machine according to claim 1, wherein the determining an energy consumption disturbance index based at least on the formation mutation intensity comprises: inputting the stratum mutation intensity into a constructed multi-factor coupling calculation model to obtain a theoretical additional load; processing the theoretical additional load based on an energy conversion efficiency curve of the target shaft heading machine, and determining an instantaneous power compensation requirement; performing attenuation analysis on the instantaneous power compensation requirement, and determining a disturbance factor; And fusing the instantaneous power compensation requirement and the disturbance factor to obtain the energy consumption disturbance index.
4. The method of controlling a shaft boring machine according to claim 1, wherein the determining energy consumption prediction information based on the predicted energy consumption change rate and the corresponding formation mutation intensity includes: Performing association analysis on the predicted energy consumption change rate and the corresponding stratum mutation intensity, and determining cooperative change information; Matching the cooperative change information with a preset stratum and energy consumption mapping relation, and determining an energy consumption deviation coefficient; and generating the energy consumption prediction information based on the energy consumption deviation coefficient and the acquired current operation parameters of the target shaft heading machine.
5. The method for controlling a shaft boring machine according to claim 1, wherein the verifying the initial risk probability data to generate fault risk information includes: comparing the initial risk probability data with a preset threshold interval to generate a preliminary verification result; analyzing the preliminary verification result by utilizing a sliding time window to obtain risk confidence; Mapping the risk confidence coefficient to a predefined fault classification system to obtain the fault risk information.
6. A control system for a shaft boring machine, comprising: The control module is used for controlling the target shaft heading machine to adjust the working state of the target shaft heading machine by the received control signal, wherein the working state at least comprises the main driving rotating speed and the propelling pressure of the target shaft heading machine, and the generation process of the control signal is as follows: the stratum mutation module is used for acquiring geographic environment change information of a working area corresponding to the target shaft heading machine in the working process of the target shaft heading machine, and determining stratum mutation intensity of the working area based on the geographic environment change information; The energy consumption disturbance module is used for determining an energy consumption disturbance index at least based on the stratum mutation intensity, wherein the energy consumption disturbance index is used for representing the comprehensive disturbance degree of the stratum mutation intensity on the energy consumption of the target vertical shaft heading machine; the energy consumption change rate module is used for processing the energy consumption disturbance index to obtain the predicted energy consumption change rate of the working area; a prediction module for determining energy consumption prediction information based on the predicted energy consumption change rate and the corresponding stratum mutation intensity, and, The acquisition module is used for acquiring electrical sampling data of the target shaft heading machine in the working process; A determining module for determining initial risk probability data based on the electrical sampling data; the verification module is used for verifying the initial risk probability data and generating fault risk information; And the generation module is used for generating the control signal based on the energy consumption prediction information and the fault risk information.
7. The control system of a shaft boring machine according to claim 6, wherein the determining the formation mutation intensity of the work area based on the geographical environment change information comprises: the quantization processing unit is used for carrying out quantization processing on the geographic environment change information to obtain environment change characteristics; The comparison unit is used for comparing the environmental change characteristics with a preset threshold library and determining mutation environmental change characteristics; The determining unit is used for analyzing and processing the mutation environment change characteristics and determining geographic environment comprehensive evaluation information; and the processing unit is used for carrying out quantitative normalization processing on the comprehensive evaluation information of the geographic environment and determining the stratum mutation intensity.
8. The control system of a shaft boring machine of claim 6 wherein the determining an energy consumption disturbance index based at least on the formation mutation strength comprises: The model unit is used for inputting the stratum mutation intensity into a constructed multi-factor coupling calculation model to obtain a theoretical additional load; the processing unit is used for processing the theoretical additional load based on the energy conversion efficiency curve of the target shaft heading machine and determining the instantaneous power compensation requirement; The analysis unit is used for carrying out attenuation analysis on the instantaneous power compensation requirement and determining a disturbance factor; And the energy consumption disturbance unit is used for fusing the instantaneous power compensation requirement and the disturbance factor to obtain the energy consumption disturbance index.
9. The control system of a shaft boring machine according to claim 6, wherein the predictive module comprises: the association analysis unit is used for carrying out association analysis on the predicted energy consumption change rate and the corresponding stratum mutation intensity and determining cooperative change information; The matching unit is used for matching the cooperative change information with a preset stratum and energy consumption mapping relation and determining an energy consumption deviation coefficient; the generation unit is used for generating the energy consumption prediction information based on the energy consumption deviation coefficient and the acquired current operation parameters of the target shaft heading machine.
10. The control system of a shaft boring machine according to claim 6, wherein the verification module comprises: the threshold value unit is used for comparing the initial risk probability data with a preset threshold value interval to generate a preliminary verification result; the analysis unit is used for analyzing the preliminary verification result by utilizing a sliding time window to obtain risk confidence; and the mapping unit is used for mapping the risk confidence coefficient to a predefined fault classification system to obtain the fault risk information.

Description

Control method and system of vertical shaft heading machine Technical Field The invention relates to the technical field of shaft heading machines, in particular to a control method and a control system of a shaft heading machine. Background The vertical shaft tunneller can greatly improve the vertical shaft excavation efficiency, compares modes such as traditional blasting, and reducible manual input shortens construction cycle, can accurately control excavation section size simultaneously, reduces surrounding rock disturbance, guarantee construction safety and engineering quality. The working environment of the shaft heading machine is highly complex, the shaft heading machine is closed, and geological conditions have strong uncertainty, namely, key factors such as surrounding rock strength, joint development, underground water distribution and the like dynamically evolve in the heading process. The prior art mainly relies on the manual experience of operators to judge and adjust the working parameters of the vertical shaft heading machine so as to enable the vertical shaft heading machine to realize dynamic cooperation of the heading efficiency and the stability of surrounding rock, but the method is limited by individual cognition limitation and subjective deviation, so that the control accuracy is reduced, the propulsion speed fluctuation is large, the heading efficiency is low, abnormal abrasion of a cutter, severe fluctuation of equipment load and frequent start and stop are easily caused, the vertical shaft heading machine runs under non-optimized working conditions for a long time, the problems of drift of a heading axis, segment assembly dislocation and the like are further aggravated, even local surrounding rock instability or earth surface subsidence are induced, and systematic risks are formed on construction quality, equipment safety and surrounding environment. Disclosure of Invention The invention provides a control method and a control system of a vertical shaft heading machine, which aim to solve the technical problem of reduced manual experience control accuracy and achieve the effect of improving control accuracy and heading efficiency. In order to solve the technical problems, the invention provides a control method and a system of a vertical shaft heading machine, wherein the method comprises the following steps: The method comprises the steps of controlling a target shaft heading machine to adjust the working state of the target shaft heading machine by a received control signal, wherein the working state at least comprises the main driving rotating speed and the propelling pressure of the target shaft heading machine, and the generation process of the control signal is as follows: in the working process of the target shaft heading machine, obtaining geographic environment change information of a working area corresponding to the target shaft heading machine, and determining stratum mutation intensity of the working area based on the geographic environment change information; determining an energy consumption disturbance index based at least on the formation mutation intensity, wherein the energy consumption disturbance index is used for representing the comprehensive disturbance degree of the formation mutation intensity on the energy consumption of the target vertical shaft heading machine; Processing the energy consumption disturbance index to obtain a predicted energy consumption change rate of the working area; determining energy consumption prediction information based on the predicted energy consumption change rate and the corresponding formation mutation intensity, and, Acquiring electrical sampling data of the target shaft heading machine in the working process; Determining initial risk probability data based on the electrical sampling data; verifying the initial risk probability data to generate fault risk information; the control signal is generated based on the energy consumption prediction information and the fault risk information. Preferably, the determining the formation mutation intensity of the working area based on the geographical environment change information includes: carrying out quantization processing on the geographic environment change information to obtain environment change characteristics; comparing the environmental change characteristics with a preset threshold library to determine mutation environmental change characteristics; Analyzing and processing the mutation environment change characteristics to determine geographic environment comprehensive evaluation information; and carrying out quantitative normalization treatment on the comprehensive evaluation information of the geographic environment, and determining the stratum mutation intensity. Preferably, the determining an energy consumption disturbance index based at least on the formation mutation strength comprises: inputting the stratum mutation intensity into a constructed multi-factor coupling