CN-121831593-B - Battery early warning method and device for mining new energy vehicle

CN121831593BCN 121831593 BCN121831593 BCN 121831593BCN-121831593-B

Abstract

The application discloses a battery early warning method and device of a mining new energy vehicle, relates to the technical field of mining vehicle detection, and solves the technical problems that the battery early warning method of the existing mining new energy vehicle is difficult to early warn in time due to poor transmission conditions of working environments, so that the running safety of the vehicle is low; the method comprises the steps of acquiring temperature detection data of a mining new energy vehicle in real time, determining a plurality of points to be analyzed based on the temperature detection data at the current moment, detecting temperature anomalies of the points to be analyzed to obtain temperature detection results of the points to be analyzed, generating a sequence to be transmitted based on the detection data, extracting features of the sequence to be transmitted to obtain a transmission sequence, transmitting the transmission sequence to a cloud temperature analysis platform, extracting features of the data to obtain the transmission sequence, shortening transmission time, enabling the data to be rapidly transmitted to the cloud temperature analysis platform to be deeply analyzed, and guaranteeing timeliness of temperature fault early warning.

Inventors

WANG LIZHENG
WANG BINLONG
XIA YINSHENG

Assignees

安徽中科启运科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260313

Claims (9)

1. The battery early warning method of the mining new energy vehicle is characterized by comprising the following steps of: Acquiring temperature detection data of a mining new energy vehicle, wherein the temperature detection data comprises detection data of each single battery at corresponding time, and the detection data comprises battery coordinates corresponding to the single battery and a temperature value at the corresponding time; analyzing the temperature value corresponding to each point to be analyzed to obtain a temperature detection result of each point to be analyzed; The method comprises the steps of obtaining detection data of a point to be analyzed at a plurality of moments, generating a sequence to be transmitted based on the detection data, extracting characteristics of the sequence to be transmitted to obtain a transmission sequence, and the method comprises the following steps: Extracting temperature abnormal values corresponding to abnormal points in a temperature detection result, and substituting the temperature abnormal values into a set characteristic duration adjustment function to obtain characteristic durations of the abnormal points; intercepting a sequence to be transmitted based on the characteristic duration to obtain a primary transmission sequence; performing feature extraction on the preliminary transmission sequences to obtain a plurality of groups of transmission sequences; Acquiring a sequence to be transmitted, fitting a plurality of temperature values in the sequence to be transmitted into a temperature change curve, and intercepting the temperature change curve based on characteristic time length to obtain a reference part temperature change curve corresponding to the primary transmission sequence; The corresponding temperature values in the transmission sequences are fitted into corresponding partial temperature change curves according to the sequence of the corresponding moments; calculating the deviation value of each partial temperature change curve and the reference partial temperature change curve, and selecting a transmission sequence corresponding to the partial temperature change curve with the minimum deviation value as a final transmission sequence; and transmitting the transmission sequence to a cloud temperature analysis platform.
2. The battery early warning method of a mining new energy vehicle according to claim 1, wherein the determining a plurality of points to be analyzed based on temperature detection data at the current moment comprises: The method comprises the steps of extracting detection data corresponding to each single battery in temperature detection data, extracting battery coordinates and temperature values in the detection data, constructing three-dimensional coordinate points of the single batteries based on the battery coordinates and the temperature values, fitting each three-dimensional coordinate point into a temperature change curved surface, and obtaining a temperature change curve; and taking three-dimensional coordinate points corresponding to battery coordinates corresponding to the single batteries as reference points, and generating points to be analyzed based on the temperature change curved surface and the reference points.
3. The battery early warning method of a mining new energy vehicle according to claim 2, wherein the generating the points to be analyzed based on the temperature change curved surface and each reference point comprises: acquiring a set initial field radius and acquiring a reference point Battery coordinates corresponding to the reference point Taking the radius of the initial field as the radius as the center, and constructing to obtain a two-dimensional area , Wherein Is the initial domain radius; The two-dimensional area is divided into As constraint conditions, the temperature change curved surface is constrained by using the constraint conditions, and a corresponding limiting curved surface is obtained ; When the temperature value corresponding to the reference point is greater than the corresponding limiting curved surface When the temperature values of all three-dimensional coordinate points are in the range, marking the point property of the reference point as a point to be analyzed; when the temperature value corresponding to the reference point is smaller than the corresponding limiting curved surface And when the temperature values of all the three-dimensional coordinate points are in the range, marking the point property of the reference point as a point to be analyzed.
4. The battery early warning method of a mining new energy vehicle according to claim 1, wherein the detecting of temperature anomalies of each point to be analyzed to obtain temperature detection results of each point to be analyzed comprises: acquiring a temperature value corresponding to each point to be analyzed, marking the point to be analyzed as an abnormal point when the temperature value is larger than a set temperature abnormal threshold, otherwise marking the point to be analyzed as a secondary analysis point; acquiring a temperature change curved surface at the current moment, and calculating to obtain a reference field radius corresponding to each secondary analysis point based on the temperature change curved surface; Battery coordinates corresponding to each secondary analysis point Taking the radius of the reference field as the radius as the center, constructing and obtaining a two-dimensional area, and marking the two-dimensional area as an area to be analyzed , , wherein, For battery coordinates of A radius of the reference field corresponding to the secondary analysis point; acquiring a temperature change curved surface at the current moment And the temperature change curved surface at the last moment ; Curved surface of the temperature change Curved surface of temperature change And the area to be analyzed Substituting a set temperature anomaly evaluation function to obtain a temperature anomaly value corresponding to the secondary analysis point; marking the secondary analysis point as an abnormal point when the temperature abnormal value is larger than a set temperature abnormal value threshold value, otherwise marking the secondary analysis point as a normal point; and integrating the abnormal points, the temperature values corresponding to the abnormal points and the temperature abnormal values into a temperature detection result.
5. The battery early warning method for a mining new energy vehicle according to claim 4, wherein the calculating the reference field radius of each secondary analysis point based on the temperature change curved surface comprises: obtaining battery coordinates of secondary analysis points Battery coordinates based on secondary analysis points And temperature change curved surface to construct a first reference curve And a second reference curve Acquiring a first unit distance And a second unit distance And the first reference curve Second reference curve First unit distance And a second unit distance Substituting a set reference field radius calculation function to obtain a reference field radius corresponding to the secondary analysis point; an expression of the reference field radius calculation function includes: ; Wherein, the For the radius of the reference field corresponding to the secondary analysis point, Is the radius of the set reference field.
6. The battery early warning method of a mining new energy vehicle according to claim 1, wherein the generating a sequence to be transmitted based on a plurality of the detection data comprises: and acquiring the time of detection data acquisition, extracting a temperature value in the detection data, and arranging the temperature values according to the sequence of the corresponding time to generate a sequence to be transmitted.
7. The battery early warning method of a mining new energy vehicle according to claim 1, wherein the feature extraction of the preliminary transmission sequences is performed to obtain a plurality of groups of transmission sequences, including: Obtaining a set unit time length, and segmenting the preliminary temperature change curve based on the unit time length to obtain a plurality of unit temperature change curve segments; Substituting the standard deviation into a set characteristic number generating function to obtain the characteristic number corresponding to the unit temperature change curve section; dividing the preliminary transmission sequence in unit time length to obtain a plurality of unit sequence groups, wherein the unit sequence groups are in one-to-one correspondence with unit temperature change curve sections; and randomly combining the unit characteristic sequences corresponding to the different sequence groups to obtain a plurality of groups of transmission sequences.
8. The battery early warning method for a mining new energy vehicle according to claim 7, wherein the expression form of the feature number generating function includes: ; Wherein, the In order to adjust the number of features to be adjusted, In order to set the standard feature number, Is the standard deviation.
9. A battery early warning device of a mining new energy vehicle, which is based on the operation of the battery early warning method of the mining new energy vehicle according to any one of claims 1 to 8, and is characterized by comprising a data acquisition module, a data analysis module and a data transmission module; the data acquisition module is used for acquiring temperature detection data of the mining new energy vehicle in real time, wherein the temperature detection data comprise detection data of each single battery at corresponding time; the data analysis module comprises an abnormality detection unit and a transmission sequence generation unit; The abnormal detection unit is used for determining a plurality of points to be analyzed based on temperature detection data at the current moment, detecting temperature abnormality of each point to be analyzed to obtain a temperature detection result of each point to be analyzed, and carrying out early warning according to abnormal points in the temperature detection result and corresponding temperature values; The transmission sequence generation unit is used for acquiring detection data of a plurality of points to be analyzed at a plurality of moments and generating a sequence to be transmitted based on the detection data; The data transmission module is used for transmitting the transmission sequence to the cloud temperature analysis platform.

Description

Battery early warning method and device for mining new energy vehicle Technical Field The application belongs to the technical field of mining vehicle detection, and particularly relates to a battery early warning method and device for a mining new energy vehicle. Background Compared with the traditional diesel vehicle, the mining new energy vehicle can save larger operation cost every year, can convert potential energy into electric energy for storage in the common 'light load ascending and heavy load descending' scene of the mine, effectively improves single charging endurance and reduces the energy consumption of the whole vehicle; Because of the limitation of equipment conditions, the local calculation power of the mining new energy vehicle with a processor is usually limited, and the detected related data is required to be transmitted to a cloud platform for deep analysis so as to ensure the safe operation of the mining vehicle. However, mining vehicles mostly work in surface mines or mine holes, signal transmission in the environments is extremely unstable, and particularly when a large amount of data is transmitted, the problems of transmission interruption or congestion and the like are extremely easy to occur, so that detection data cannot be analyzed deeply in time, and the operation safety of a mine car is further affected. Therefore, a battery early warning method for a mining new energy vehicle is needed. Disclosure of Invention The application provides a battery early warning method and device for a mining new energy vehicle, which solve the technical problems that the conventional battery early warning method for the mining new energy vehicle is difficult to early warn in time due to poor transmission conditions of working environments, and the running safety of the vehicle is low. In order to achieve the above purpose, the application adopts the following technical scheme: in a first aspect, a battery early warning method for a mining new energy vehicle is provided, including: Acquiring temperature detection data of a mining new energy vehicle in real time, wherein the temperature detection data comprises detection data of corresponding time of each single battery, and the detection data comprises battery coordinates of the single battery and temperature values of corresponding time; analyzing the temperature value corresponding to each point to be analyzed to obtain a temperature detection result of each point to be analyzed; The method comprises the steps of obtaining detection data of a plurality of points to be analyzed at a plurality of moments, generating a sequence to be transmitted based on the detection data, extracting characteristics of the sequence to be transmitted to obtain a transmission sequence, and transmitting the transmission sequence to a cloud temperature analysis platform. According to the technical scheme, in the battery early warning method and device for the mining new energy vehicle, temperature detection data of the mining new energy vehicle are obtained in real time, a plurality of points to be analyzed are determined according to the temperature detection data at the current moment, temperature anomaly detection is conducted on each point to be analyzed to obtain temperature detection results of each point to be analyzed, early warning is conducted according to the anomaly points and corresponding temperature values in the temperature detection results, detection data of a plurality of points to be analyzed at a plurality of moments are obtained, a sequence to be transmitted is generated according to the detection data, feature extraction is conducted on the sequence to be transmitted to a cloud temperature analysis platform to obtain the transmission sequence, simple initial analysis is conducted on the detection data of the battery through local processing equipment, meanwhile, the transmission quantity of the data is reduced as much as possible, the data can be quickly transmitted to the cloud temperature analysis platform to obtain deep analysis, and timeliness of temperature fault early warning is further guaranteed. With reference to the first aspect, in one possible implementation manner, the determining a plurality of points to be analyzed based on temperature detection data at the current moment includes: The method comprises the steps of extracting detection data corresponding to each single battery in temperature detection data, extracting battery coordinates and temperature values in the detection data, constructing three-dimensional coordinate points of the single batteries based on the battery coordinates and the temperature values, fitting each three-dimensional coordinate point into a temperature change curved surface, and obtaining a temperature change curve; and taking three-dimensional coordinate points corresponding to battery coordinates corresponding to the single batteries as reference points, and generating points to be analyzed based on