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Anomaly monitoring and alarming system and method for transportation management system

A transportation management system and abnormal monitoring technology, applied in the transmission system, digital transmission system, data exchange network, etc., can solve the problems of false alarms in the alarm system, abnormal situation classification interception and alarm, etc., to improve accuracy and effectiveness , Prevent false positives, avoid false positives

Active Publication Date: 2020-05-05
贵州梵添科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The abnormality monitoring and alarming system and method for the transportation management system provided by the present invention can filter out garbage information to avoid false alarms, and classify the abnormality and then intercept and alarm according to its category, which solves the problem of existing monitoring , The alarm system may have false alarms and technical problems that cannot classify, intercept and alarm abnormal situations

Method used

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  • Anomaly monitoring and alarming system and method for transportation management system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] The embodiment of the abnormal monitoring and alarm system used in the transportation management system of the present invention is basically as attached figure 1 As shown, it includes: indicator data module, threshold model setting module, anomaly detection module, anomaly classification module, alarm module, and interception module.

[0054] The indicator data module includes a real-time indicator data module and a historical indicator data module, which obtain real-time indicator data and historical indicator data of monitored indicator items respectively, and send the real-time indicator data and historical indicator data to the threshold model setting module. The threshold model setting module uses the exponential smoothing method to generate the threshold model of each index according to the historical index data of the index, and sends the real-time index data to the anomaly detection module.

[0055] The anomaly detection module judges the received real-time ind...

Embodiment 2

[0069] The only difference from Example 1 is:

[0070] The anomaly detection module uses Naive Bayesian algorithm to screen abnormal information and determine normal emails. The algorithm is simplified on the basis of the Bayesian algorithm: it is assumed that the attributes are conditionally independent of each other when the target value is given, that is to say, no attribute variable has a large proportion for the decision result, and it is also No attribute variable has a small proportion to the decision result. In practical application scenarios, this can greatly simplify the complexity of Bayesian algorithms.

[0071]The exception classification module uses the Rocchio algorithm to classify normal emails into six categories: denial of service attacks, unauthorized access attempts, pre-detection attacks, suspicious activities, protocol decoding, and system proxy attacks. This algorithm is an efficient classification algorithm, which is widely used in text classification...

Embodiment 3

[0073] The only difference from Embodiment 1 is that during transportation, the index data module obtains the time-varying curve of the total weight of the transportation means and the goods being transported through the pressure sensor. Due to the deceleration ridges and uneven road conditions during transportation, the driver will brake suddenly and accelerate rapidly. Therefore, due to the action of inertial force, the total weight of the transport tool and the transported goods acquired by the pressure sensor will fluctuate to a certain extent over time. But this range is usually very small, such as 1%; the duration is also very short, such as a few minutes. When the abnormal detection module detects that the peak of the total weight in the oscillation state exceeds a preset threshold (such as 2%) and lasts for a long time (such as 1 hour), the abnormal information is removed. The fluctuation of the total weight is too large and lasts for a long time, indicating that it i...

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Abstract

The invention relates to the field of Internet service system monitoring, in particular to an abnormality monitoring and alarming system and method for a transportation management system. The system comprises an index data module which is used for obtaining historical index data and real-time index data; the threshold model setting module is used for setting a threshold model according to the historical index data; the anomaly detection module is used for detecting whether the real-time index data conforms to a set threshold value model or not; determining misreported abnormal information according to the characteristic parameters of the wave crest and eliminating the misreported abnormal information; the exception classification module is used for carrying out statistical classification on the rejected exception information and sending a classification result in a mail form; and the alarm module is used for receiving the classification result and sending alarm information. According to the invention, before the abnormal information is alarmed, the abnormal information which may cause false alarm is filtered, and the abnormal information is classified by adopting a statistical algorithm; not only is false alarm prevented, but also abnormal condition processing efficiency is greatly improved.

Description

technical field [0001] The invention relates to the field of Internet business system monitoring, in particular to an abnormal monitoring and alarm system and method for a transportation management system. Background technique [0002] The transportation management system is a kind of Internet business system. The English abbreviation "TMS" is a network-based operating software under the "supply chain" group. It can improve the management ability of logistics through various methods; including the management of shipping units, management Transportation models, benchmarks and costs, maintaining transportation data, optimizing transportation plans, selecting carriers and service methods, arranging labor and locations, and managing third-party logistics, etc. It can be seen that the transportation management system is in the central position in the entire logistics system and is the management core of the entire transportation process. It is particularly important to monitor an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26H04L29/06
CPCH04L41/0631H04L43/08H04L43/0823H04L63/1425H04L43/16
Inventor 杨玉然
Owner 贵州梵添科技有限公司
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