CN-119202968-B - Station monitoring index threshold generation method and terminal
Abstract
The invention discloses a station monitoring index threshold generation method and a terminal, which are used for acquiring historical detection index data of a station in a preset time period, identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm, obtaining an abnormal interval upper boundary sequence and an abnormal interval lower boundary sequence corresponding to the historical detection index data according to the interval upper boundary and the interval lower boundary of the abnormal intervals of each abnormal point, determining an abnormality detection upper boundary threshold according to the abnormal interval upper boundary value sequence, and obtaining an abnormality detection lower boundary threshold according to the abnormal interval lower boundary sequence to obtain a safety index threshold interval. The invention corresponds to the judgment standard for detecting whether the current detection index data of the station is abnormal, thereby assisting in accurately identifying the abnormal condition of the station monitoring index data and ensuring the safe operation of the station.
Inventors
- DU XUPENG
- ZHENG QIRONG
- LI GUOWEI
Assignees
- 福建时代星云科技有限公司
Dates
- Publication Date
- 20260508
- Application Date
- 20240826
Claims (6)
- 1. A station monitoring index threshold generation method, comprising the steps of: s1, acquiring historical detection index data of a station in a preset time period, and identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm; s2, obtaining an abnormal interval upper boundary sequence and an abnormal interval lower boundary sequence corresponding to the historical detection index data according to the interval upper boundary and the interval lower boundary of the abnormal interval of each abnormal point; The step S2 specifically includes: s21, eliminating the maximum value in the upper boundaries of the abnormal intervals of all the abnormal points to obtain an upper boundary sequence of the abnormal intervals; S22, eliminating the minimum value in the interval lower boundary of the abnormal interval of all the abnormal points to obtain the abnormal interval lower boundary sequence; S3, determining an abnormality detection upper limit threshold according to the abnormality interval upper limit sequence, and obtaining an abnormality detection lower limit threshold according to the abnormality interval lower limit sequence to obtain a safety index threshold interval; the step S3 specifically includes: Selecting the maximum value in the abnormal interval upper bound sequence as the abnormal detection upper bound threshold value, and selecting the minimum value of the abnormal interval lower bound sequence as the abnormal detection lower bound threshold value; and combining the average value and the maximum value in the abnormal interval upper bound sequence into an upper bound early warning interval, and combining the average value and the minimum value of the abnormal interval lower bound sequence into a lower bound early warning interval.
- 2. The station monitoring indicator threshold generation method according to claim 1, further comprising: S4, acquiring current detection index data of the station, detecting whether the current detection index data has data abnormality according to the safety index threshold interval, if not, adding the current detection index data to the historical detection index data, identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm, and executing the steps S2 and S3.
- 3. The method for generating the station monitoring index threshold according to claim 1, wherein the step S1 further comprises: S0, acquiring detection index data of the station in a preset period, accumulating the acquisition times, and adjusting the duration of the preset time period according to the acquisition times.
- 4. A station monitoring indicator threshold generation terminal comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the computer program when executed by the processor performs the steps of: s1, acquiring historical detection index data of a station in a preset time period, and identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm; s2, obtaining an abnormal interval upper boundary sequence and an abnormal interval lower boundary sequence corresponding to the historical detection index data according to the interval upper boundary and the interval lower boundary of the abnormal interval of each abnormal point; The step S2 specifically includes: s21, eliminating the maximum value in the upper boundaries of the abnormal intervals of all the abnormal points to obtain an upper boundary sequence of the abnormal intervals; S22, eliminating the minimum value in the interval lower boundary of the abnormal interval of all the abnormal points to obtain the abnormal interval lower boundary sequence; S3, determining an abnormality detection upper limit threshold according to the abnormality interval upper limit sequence, and obtaining an abnormality detection lower limit threshold according to the abnormality interval lower limit sequence to obtain a safety index threshold interval; the step S3 specifically includes: Selecting the maximum value in the abnormal interval upper bound sequence as the abnormal detection upper bound threshold value, and selecting the minimum value of the abnormal interval lower bound sequence as the abnormal detection lower bound threshold value; and combining the average value and the maximum value in the abnormal interval upper bound sequence into an upper bound early warning interval, and combining the average value and the minimum value of the abnormal interval lower bound sequence into a lower bound early warning interval.
- 5. The station monitoring indicator threshold generation terminal according to claim 4, further comprising: S4, acquiring current detection index data of the station, detecting whether the current detection index data has data abnormality according to the safety index threshold interval, if not, adding the current detection index data to the historical detection index data, identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm, and executing the steps S2 and S3.
- 6. The station monitoring indicator threshold generating terminal according to claim 4, wherein before the step S1, further comprises: S0, acquiring detection index data of the station in a preset period, accumulating the acquisition times, and adjusting the duration of the preset time period according to the acquisition times.
Description
Station monitoring index threshold generation method and terminal Technical Field The invention relates to the technical field of electronic information, in particular to a station monitoring index threshold generating method and a terminal. Background As the popularity of electric vehicles increases, the coverage area of an optical storage and charge inspection station, which is one of the infrastructures for vehicle charge inspection, increases. Ensuring safe operation of the station is an important task in the daily operational dimension. Therefore, the existing method realizes real-time monitoring on a plurality of safety monitoring indexes of each station, is beneficial to fine management of the station and improves the safety management level of the station. However, under the influence of personalized configuration, the situation of each station is different, and the data distribution of the station safety monitoring index has various distribution characteristics such as unimodal distribution, bimodal distribution and the like, the fluctuation range of the data is large, whether the data change is abnormal or not is difficult to discover in time in the monitoring process, and how to accurately identify the abnormal situation of the data of the station monitoring index becomes a key point for guaranteeing the safe operation of the station. Disclosure of Invention The technical problem to be solved by the invention is to provide a station monitoring index threshold generating method and a terminal, which assist in accurately identifying abnormal conditions of station monitoring index data and guarantee the key of safe operation of stations. In order to solve the technical problems, the invention adopts the following technical scheme: a station monitoring index threshold generation method comprises the following steps: s1, acquiring historical detection index data of a station in a preset time period, and identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm; s2, obtaining an abnormal interval upper boundary sequence and an abnormal interval lower boundary sequence corresponding to the historical detection index data according to the interval upper boundary and the interval lower boundary of the abnormal interval of each abnormal point; s3, determining an abnormality detection upper limit threshold according to the abnormality interval upper limit value sequence, and obtaining an abnormality detection lower limit threshold according to the abnormality interval lower limit sequence to obtain a safety index threshold interval. In order to solve the technical problems, the invention adopts another technical scheme that: a terminal for generating a station monitoring index threshold, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the following steps when executing the computer program: s1, acquiring historical detection index data of a station in a preset time period, and identifying abnormal points in the historical detection index data and abnormal intervals of each abnormal point according to a time sequence abnormality detection algorithm; s2, obtaining an abnormal interval upper boundary sequence and an abnormal interval lower boundary sequence corresponding to the historical detection index data according to the interval upper boundary and the interval lower boundary of the abnormal interval of each abnormal point; s3, determining an abnormality detection upper limit threshold according to the abnormality interval upper limit value sequence, and obtaining an abnormality detection lower limit threshold according to the abnormality interval lower limit sequence to obtain a safety index threshold interval. The method and the terminal have the beneficial effects that the abnormal points of the historical detection index data of the station and the abnormal intervals of each abnormal point are identified by utilizing a time sequence algorithm, and then the upper and lower thresholds of the safety index threshold interval are determined by integrating the upper boundary sequence of the abnormal intervals and the lower boundary sequence of the abnormal intervals, so that the method and the terminal can be used as a judgment standard for correspondingly detecting whether the current detection index data of the station is abnormal, thereby assisting in accurately identifying the abnormal condition of the data of the station detection index, and guaranteeing the safe operation of the station. Drawings FIG. 1 is a schematic diagram of steps of a method for generating a threshold value of a station monitoring index according to the present invention; Fig. 2 is a system block diagram of a station monitoring index threshold generating terminal according to the present invention. Description of the referen