CN-122020076-A - Electric wheel dumper energy consumption prediction method and system based on historical working conditions

CN122020076ACN 122020076 ACN122020076 ACN 122020076ACN-122020076-A

Abstract

The invention relates to the technical field of energy management and provides an electric wheel dumper energy consumption prediction method and system based on historical working conditions, wherein the method comprises the steps of carrying out sequential arrangement on working condition characteristic points of an original operation parameter flow to obtain a working condition characteristic sequence; the method comprises the steps of carrying out time sequence regular matching on a working condition characteristic sequence and a historical working condition characteristic sequence in a historical working condition characteristic library to obtain a reference working condition characteristic sequence, carrying out point-by-point deviation analysis on a vehicle speed value, carrying out weighted correction on a historical energy consumption record value of the historical working condition characteristic library according to a deviation accumulation amount obtained by analysis to obtain an actual energy consumption reference value, dividing a front path into continuous front road segments to obtain gradient labels, carrying out joint indexing on the historical energy consumption record value to obtain a basic energy consumption value, and carrying out scaling on the basic energy consumption value to obtain a predicted energy consumption total amount.

Inventors

CHEN XIAOKE
CHEN RENKAI
PENG XIAOQI
LIANG XIAO
LIANG ZHIHENG
SHI LI
XIE WEI

Assignees

湘潭开元机电制造有限公司

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (10)

1. The method for predicting the energy consumption of the electric wheel dumper based on the historical working conditions is characterized by comprising the following steps of: pt.1, based on the running time sequence of the electric wheel dumper, carrying out serialization arrangement on working condition characteristic points of original running parameter flows of the electric wheel dumper to obtain a working condition characteristic sequence of the electric wheel dumper; Pt.2, performing time sequence regular matching on the working condition characteristic sequence and a historical working condition characteristic sequence in a historical working condition characteristic library of the electric wheel dumper to obtain a reference working condition characteristic sequence of the electric wheel dumper; Pt.3, carrying out point-by-point deviation analysis on the vehicle speed values of the corresponding time sequence positions in the working condition characteristic sequence and the reference working condition characteristic sequence, and carrying out weighted correction on the historical energy consumption record value of the historical working condition characteristic library according to the deviation accumulation amount obtained by analysis to obtain an actual energy consumption reference value of the electric wheel dumper; pt.4, dividing a front path of the electric wheel dumper into continuous front road segments based on abrupt points of gradient values in a preset gradient map and combining the actual energy consumption reference value to obtain gradient labels of the electric wheel dumper; pt.5, based on the gradient label and the load mass signal of the electric wheel dumper, carrying out joint index on the historical energy consumption record value to obtain a basic energy consumption value of the electric wheel dumper; And Pt.6, scaling the basic energy consumption value by taking the actual energy consumption reference value as a reference to obtain the predicted energy consumption total amount of the electric wheel dumper.
2. The method for predicting the energy consumption of the electric wheel dumper based on the historical working conditions, which is characterized in that the working condition characteristic points of the original operation parameter flow of the electric wheel dumper are arranged in sequence based on the operation time sequence of the electric wheel dumper, so as to obtain the working condition characteristic sequence of the electric wheel dumper, and the method comprises the following steps: protocol unpacking is carried out on the original operation parameter stream of the electric wheel dumper to obtain an original operation data item of the electric wheel dumper; performing data quality screening on the original operation data items to obtain a clean operation data sample set of the electric wheel dumper; extracting a time stamp value, a vehicle positioning coordinate value and a real-time vehicle speed value from the clean operation data sample set to construct a working condition characteristic triplet of the electric wheel dumper; taking the timestamp value as a sequencing benchmark, and carrying out ascending rearrangement on the working condition characteristic triplets to obtain a working condition characteristic initial sequence of the electric wheel dumper; And performing equal-time-interval calibration on the time stamp interval between adjacent triplets in the working condition characteristic initial sequence to obtain the working condition characteristic sequence of the electric wheel dumper.
3. The method for predicting the energy consumption of the electric wheel dumper based on the history working condition of claim 1, wherein the step of performing time sequence regular matching on the working condition characteristic sequence and the history working condition characteristic sequence in the history working condition characteristic library of the electric wheel dumper to obtain the reference working condition characteristic sequence of the electric wheel dumper comprises the following steps: Screening and calling the historical working condition characteristic sequences in the historical working condition characteristic library of the electric wheel dumper based on the gradient grade of the working condition characteristic sequences to obtain a to-be-matched historical working condition characteristic sequence set of the electric wheel dumper; Fitting the working condition characteristic sequence and the history working condition characteristic sequence nonlinear telescopic path in the history working condition characteristic sequence set to be matched to obtain a time sequence mapping path of the electric wheel dumper; Based on the corresponding relation in the time sequence mapping path, accumulating the vehicle speed value in the working condition characteristic sequence and the vehicle speed value in the history working condition characteristic sequence point by point in a difference way to obtain the path accumulated distance of the electric wheel dumper; and sequencing and comparing the accumulated distances of the paths to obtain a reference working condition characteristic sequence of the electric wheel dumper.
4. The method for predicting the energy consumption of the electric wheel dumper based on the history working condition as set forth in claim 3, wherein the fitting the working condition characteristic sequence with the history working condition characteristic sequence in the set of the history working condition characteristic sequences to be matched to obtain the time sequence mapping path of the electric wheel dumper comprises the following steps: Taking the working condition characteristic sequence as a reference template, and taking the history working condition characteristic sequence in the history working condition characteristic sequence set to be matched as a test sample to construct a cost matrix of the electric wheel dumper; Planning and seeking the cost matrix to obtain an accumulated cost matrix of the electric wheel dumper; carrying out path backtracking from the direction of the minimum accumulated cost in the accumulated cost matrix to obtain a curved path of the electric wheel dumper; And carrying out pairing coding on the characteristic point index in the curved path and the historical working condition characteristic sequence to obtain a time sequence mapping path of the electric wheel dumper.
5. The method for predicting the energy consumption of the electric wheel dumper based on the historical working condition according to claim 1, wherein the method for analyzing the point-by-point deviation of the vehicle speed values of the corresponding time sequence positions in the working condition characteristic sequence and the reference working condition characteristic sequence, and according to the analyzed deviation accumulation amount, carrying out weighted correction on the historical energy consumption record value of the historical working condition characteristic library to obtain the actual energy consumption reference value of the electric wheel dumper comprises the following steps: Synchronously extracting the vehicle speed values of the same mapping node in the working condition characteristic sequence and the reference working condition characteristic sequence to obtain a real-time vehicle speed sampling value and a historical vehicle speed sampling value of the electric wheel dumper; Performing differential comparison on the real-time vehicle speed sampling value and the historical vehicle speed sampling value to obtain the local vehicle speed deviation of the electric wheel dumper; Based on a time sequence mapping path of the electric wheel dumper, accumulating and polymerizing the local vehicle speed deviation amount to obtain a deviation accumulated amount of the electric wheel dumper; Based on the deviation accumulation amount, checking and matching a preset deviation-coefficient mapping table to obtain a weighted correction coefficient of the electric wheel dumper; Extracting a historical energy consumption record value of the reference working condition characteristic sequence from the historical working condition characteristic library to serve as a reference energy consumption original value of the electric wheel dumper; and weighting adjustment is carried out on the reference energy consumption original value based on the weighting correction coefficient, so that the actual energy consumption reference value of the electric wheel dumper is obtained.
6. The method for predicting the energy consumption of the electric wheel dump truck based on the historical working condition as set forth in claim 5, wherein the calculation formula of the weighted correction coefficient is as follows: ; In the formula, For the weighted correction coefficients in question, For a preset base energy consumption confidence coefficient, Mapping the first path in the paths for the time sequence The normalized deviation magnitudes of the individual mapped nodes, For the path length factor of the timing mapped path, For a predetermined time-decay factor, As the standard deviation of the local vehicle speed deviation amount, As the average value of the local vehicle speed deviation amounts, Is a natural constant which is used for the production of the high-temperature-resistant ceramic material, And indexing sequence numbers for nodes in the time sequence mapping path.
7. The method for predicting the energy consumption of the electric wheel dumper based on the historical working condition according to claim 1, wherein the step of dividing the front path of the electric wheel dumper into continuous front road segments by combining the actual energy consumption reference value and the abrupt change point of the gradient value in the preset gradient map to obtain the gradient label of the electric wheel dumper comprises the following steps: Performing one-by-one difference percentage pair on gradient values of a preset gradient map to obtain a gradient abrupt change point set of the electric wheel dumper; Based on the deviation amplitude between the actual energy consumption reference value and the historical synchronous energy consumption average value in the historical working condition feature library, performing significance test on the gradient abrupt change point set to obtain a key gradient abrupt change point sequence of the electric wheel dumper; Taking the key gradient jump point sequence as a road section segmentation boundary, and carrying out road section segmentation on a front path of the electric wheel dumper to obtain a main control gradient characteristic value of the electric wheel dumper; and performing grade coding on the main control gradient characteristic value to obtain the gradient label of the electric wheel dumper.
8. The method for predicting the energy consumption of the electric wheel dumper based on the historical working condition according to claim 1, wherein the method for jointly indexing the historical energy consumption record value based on the gradient label and the load mass signal of the electric wheel dumper to obtain the basic energy consumption value of the electric wheel dumper comprises the following steps: extracting a load mass value in a load mass signal of the electric wheel dumper to obtain a load characteristic value of the electric wheel dumper; Anchoring the historical working condition feature library based on the gradient grade code of the gradient label to obtain a historical energy consumption record storage partition of the electric wheel dumper; Performing key value retrieval on the historical energy consumption record storage partition by taking the load characteristic value as an index key word to obtain a candidate energy consumption record set of the electric wheel dumper; And carrying out numerical fusion on the energy consumption values in the candidate energy consumption record set to obtain the basic energy consumption value of the electric wheel dumper.
9. The method for predicting the energy consumption of the electric wheel dumper based on the historical working condition as claimed in claim 1, wherein the scaling the basic energy consumption value by taking the actual energy consumption reference value as a reference to obtain the predicted total energy consumption of the electric wheel dumper comprises the following steps: extracting a historical energy consumption record value associated with the reference working condition characteristic sequence from the historical working condition characteristic library to obtain a reference energy consumption value of the electric wheel dumper; Calculating the ratio of the actual energy consumption reference value to the reference energy consumption reference value to obtain a scaling factor of the electric wheel dumper; weighting adjustment is carried out on the basic energy consumption value based on the scaling coefficient, so that a predicted energy consumption component of the electric wheel dumper is obtained; and accumulating and polymerizing the predicted energy consumption components to obtain the predicted energy consumption total amount of the electric wheel dumper.
10. An electric wheel dumper energy consumption prediction system based on historical working conditions is characterized by being used for realizing the electric wheel dumper energy consumption prediction method based on the historical working conditions, and the system comprises the following steps: The characteristic serialization module is used for serializing and arranging the working condition characteristic points of the original operation parameter flow of the electric wheel dumper based on the operation time sequence of the electric wheel dumper to obtain the working condition characteristic sequence of the electric wheel dumper; The time sequence matching library module is used for performing time sequence regular matching on the working condition characteristic sequence and the historical working condition characteristic sequence in the historical working condition characteristic library of the electric wheel dumper to obtain a reference working condition characteristic sequence of the electric wheel dumper; The energy consumption reference correction module is used for carrying out point-by-point deviation analysis on the vehicle speed values of the corresponding time sequence positions in the working condition characteristic sequence and the reference working condition characteristic sequence, and carrying out weighted correction on the historical energy consumption record values of the historical working condition characteristic library according to the deviation accumulation amount obtained by the analysis to obtain the actual energy consumption reference value of the electric wheel dumper; the road section gradient marking module is used for dividing the front path of the electric wheel dumper into continuous front road section segments based on abrupt change points of gradient values in a preset gradient map and combining the actual energy consumption reference value to obtain gradient labels of the electric wheel dumper; the basic energy consumption index module is used for carrying out joint index on the historical energy consumption record value based on the gradient label and the load mass signal of the electric wheel dumper to obtain a basic energy consumption value of the electric wheel dumper; and the energy consumption total amount prediction module is used for scaling the basic energy consumption value by taking the actual energy consumption reference value as a reference to obtain the predicted energy consumption total amount of the electric wheel dumper.

Description

Electric wheel dumper energy consumption prediction method and system based on historical working conditions Technical Field The invention relates to the technical field of energy management, in particular to an electric wheel dumper energy consumption prediction method and system based on historical working conditions. Background The energy consumption prediction of the electric wheel dumper is mainly based on fixed working condition parameters for static measurement and calculation, analysis is not carried out by combining dynamic working condition characteristics of actual operation of the vehicle, and real-time change rules of parameters such as speed and positioning in the operation process of the vehicle cannot be accurately captured, so that larger deviation exists between basic data of the energy consumption prediction and the actual working condition, and the actual operation state of the vehicle is difficult to reflect. The prior art does not build a perfect historical working condition feature library, does not realize accurate time sequence matching of the current working condition and the historical working condition, simply refers to the current working condition by only relying on a single historical energy consumption record, lacks systematic comparison and analysis of working condition sequences, and causes the reference basis of energy consumption prediction to lack pertinence and effectiveness. The existing electric wheel dumper energy consumption prediction method does not consider the influence of gradient mutation on energy consumption, does not combine with vehicle load quality to carry out joint index, lacks scientific gradient characteristic basis for road section division of a front path, and cannot accurately adjust and adapt historical energy consumption data according to actual road gradient and load conditions. Meanwhile, in the prior art, the analysis of the vehicle speed deviation is only carried out on a single node level, the vehicle speed deviation on the time sequence is not subjected to accumulated analysis, the historical energy consumption record value is subjected to weighted correction according to the accumulated analysis, the determination of the energy consumption reference value lacks a dynamic correction mechanism, the accuracy of an energy consumption prediction result is finally low, and the energy consumption management, control and scheduling requirements in the actual operation of the electric wheel dumper cannot be met. Disclosure of Invention The invention provides an electric wheel dumper energy consumption prediction method and system based on historical working conditions, which are used for solving the problems in the background technology. In order to achieve the above purpose, the invention provides a method for predicting energy consumption of an electric wheel dump truck based on historical working conditions, which comprises the following steps: pt.1, based on the running time sequence of the electric wheel dumper, carrying out serialization arrangement on working condition characteristic points of original running parameter flows of the electric wheel dumper to obtain a working condition characteristic sequence of the electric wheel dumper; Pt.2, performing time sequence regular matching on the working condition characteristic sequence and a historical working condition characteristic sequence in a historical working condition characteristic library of the electric wheel dumper to obtain a reference working condition characteristic sequence of the electric wheel dumper; Pt.3, carrying out point-by-point deviation analysis on the vehicle speed values of the corresponding time sequence positions in the working condition characteristic sequence and the reference working condition characteristic sequence, and carrying out weighted correction on the historical energy consumption record value of the historical working condition characteristic library according to the deviation accumulation amount obtained by analysis to obtain an actual energy consumption reference value of the electric wheel dumper; pt.4, dividing a front path of the electric wheel dumper into continuous front road segments based on abrupt points of gradient values in a preset gradient map and combining the actual energy consumption reference value to obtain gradient labels of the electric wheel dumper; pt.5, based on the gradient label and the load mass signal of the electric wheel dumper, carrying out joint index on the historical energy consumption record value to obtain a basic energy consumption value of the electric wheel dumper; And Pt.6, scaling the basic energy consumption value by taking the actual energy consumption reference value as a reference to obtain the predicted energy consumption total amount of the electric wheel dumper. In a preferred embodiment, the sequencing the working condition feature points of the original operation parameter flow of the electric wheel du