An Abnormal Detection Method for the Working Environment of an Electrical Appliance

Abstract

The present invention provides a method for detecting abnormal working environments of electrical equipment. The method for detecting abnormal working environments of electrical equipment includes the following steps: (1): Collecting the basic environmental information and working current of the electrical equipment; (2): Judging whether the working environment of the electrical equipment is abnormal according to the basic environmental information of the electrical equipment; (3): Judging whether the electrical equipment is working abnormally according to the working current; (4): Calculating the noise intensity of the working current; (5): Judging whether the signal noise of the electrical equipment is abnormal according to the noise intensity. The present invention provides a method for detecting abnormal working environments of electrical equipment, which can accurately judge whether the working environment of the electrical equipment is abnormal, thereby ensuring the safety and reliability of the electrical equipment during operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of power detection, and particularly relates to a method for detecting abnormal working environments of electrical equipment. Background Art

[0002] With the continuous development of technology, the use of electric energy is increasing, and various electrical equipment meets the production and living needs of people. Different electrical equipment works in different environments, and some need to work in complex environments. Therefore, in order to ensure the safe and reliable operation of electrical equipment, it is necessary to detect its working environment to timely discover abnormalities.

[0003] The present invention proposes a method for detecting abnormal working environments of electrical equipment. In addition to collecting and judging conventional environmental information, it also judges the working state of the electrical equipment according to its working current, extracts the noise intensity from the working current, and selects an appropriate noise threshold, and then judges whether the noise intensity is too high. Summary of the Invention

[0004] The present invention provides a method for detecting abnormal working environments of electrical equipment, which can accurately judge whether the working environment of the electrical equipment is abnormal, and thus ensure the safety and reliability of the operation of the electrical equipment.

[0005] Specifically, the present invention is a method for detecting abnormal working environments of electrical equipment, and the method for detecting abnormal working environments of electrical equipment includes the following steps:

[0006] Step (1): Collect the basic environmental information and working current of the electrical equipment;

[0007] Step (2): Judge whether the working environment of the electrical equipment is abnormal according to the basic environmental information of the electrical equipment;

[0008] Step (3): Judge whether the electrical equipment is working abnormally according to the working current;

[0009] Step (4): Calculate the noise intensity of the working current;

[0010] Step (5): Judge whether the signal noise of the electrical equipment is abnormal according to the noise intensity.

[0011] The basic environmental information of the electrical equipment includes an environmental temperature signal, a humidity signal, and a working magnetic field signal.

[0012] The environmental temperature signal and the environmental humidity signal are collected by a temperature and humidity sensor, and the magnetic field signal is collected by a magnetic field sensor to collect the working magnetic field signal.

[0013] The specific method for judging whether the working environment of the electrical equipment is abnormal according to the basic environmental information of the electrical equipment is:

[0014] Determine whether the ambient temperature signal is greater than the temperature reference value. If so, the ambient temperature of the electrical equipment is high.

[0015] Determine whether the ambient humidity signal is greater than the humidity reference value. If so, the ambient humidity of the electrical equipment is high.

[0016] Determine whether the working magnetic field signal is greater than the magnetic field reference value. If so, the working magnetic field of the electrical equipment is high.

[0017] The specific method for determining whether the electrical equipment is operating abnormally based on the working current is as follows:

[0018] Determine whether the working current is greater than the current reference value. If so, the electrical equipment is operating abnormally.

[0019] The method for calculating the noise intensity of the working current is as follows:

[0020] First, perform wavelet decomposition on the working current.

[0021] Second, calculate the noise intensity as where is the k-th layer wavelet coefficient of the working current, and 1 < k < M, where M is the highest number of wavelet decomposition levels, and n is the number of k-th layer wavelet coefficients.

[0022] The specific method for determining whether the signal noise of the electrical equipment is abnormal based on the noise intensity is as follows:

[0023] (1) Extract the k-th layer wavelet coefficient of the working current.

[0024] (2) After sorting the squares of the k-th layer wavelet coefficients of the working current, obtain the vector W = [w1, w2, …, w n ;

[0025] (3) Calculate the risk vector R = [r1, r2, …, r n of the vector W;

[0026] (4) Take the minimum value r x in R as the risk value;

[0027] (5) Obtain the corresponding w x from the subscript x of r x ;

[0028] (6) Calculate the signal noise intensity threshold of the electrical equipment:

[0029] (7) Determine whether the noise intensity is greater than the noise intensity threshold. If so, the signal noise of the electrical equipment is abnormal.

[0030] The algorithm for calculating the risk vector R of vector W is as follows:

[0031]

[0032] Compared with the prior art, the beneficial effects are as follows: The method for detecting abnormal working environment of the electrical equipment respectively collects the ambient temperature and humidity signals and the magnetic field signal to directly and preliminarily judge the environmental condition, then judges its working state according to the working current, extracts the noise intensity from the working current, and selects a suitable noise threshold, and further judges whether the noise intensity is too high. Brief Description of the Drawings

[0033] Figure 1 It is the flowchart of the method for detecting abnormal working environment of an electrical equipment according to the present invention. Detailed Embodiment

[0034] The following will elaborate in detail on the detailed embodiment of the method for detecting abnormal working environment of an electrical equipment according to the present invention with reference to the drawings.

[0035] As Figure 1 shown, the method for detecting abnormal working environment of the electrical equipment according to the present invention includes the following steps:

[0036] Step (1): Collect the basic environmental information and working current of the electrical equipment, where the basic environmental information of the electrical equipment includes the ambient temperature signal, humidity signal, and working magnetic field signal;

[0037] Step (2): Judge whether the working environment of the electrical equipment is abnormal according to the basic environmental information of the electrical equipment:

[0038] Judge whether the ambient temperature signal is greater than the temperature reference value. If so, the ambient temperature of the electrical equipment is high;

[0039] Judge whether the ambient humidity signal is greater than the humidity reference value. If so, the ambient humidity of the electrical equipment is high;

[0040] Judge whether the working magnetic field signal is greater than the magnetic field reference value. If so, the working magnetic field of the electrical equipment is high;

[0041] Step (3): Judge whether the electrical equipment is working abnormally according to the working current: Judge whether the working current is greater than the current reference value. If so, the electrical equipment is working abnormally;

[0042] Step (4): Calculate the noise intensity of the working current:

[0043] First, perform wavelet decomposition on the working current;

[0044] Secondly, calculate the noise intensity as where is the k-th layer wavelet coefficient of the working current, where 1 < k < M, M is the highest number of wavelet decompositions, and n is the number of wavelet coefficients in the k-th layer;

[0045] Step (5): Determine whether the signal noise of the electrical equipment is abnormal according to the noise intensity.

[0046] The environmental temperature signal and the environmental humidity signal are collected by a temperature and humidity sensor, and the magnetic field signal is collected by a magnetic field sensor to collect the working magnetic field signal.

[0047] The specific method for determining whether the signal noise of the electrical equipment is abnormal according to the noise intensity is as follows:

[0048] (1) Extract the k-th layer wavelet coefficient of the working current,

[0049] (2) After sorting the squares of the k-th layer wavelet coefficients of the working current, a vector W = [w1, w2,..., w n ;

[0050] (3) Calculate the risk vector R = [r1, r2,..., r n of the vector W,

[0051] (4) Take the minimum value r x in R as the risk value;

[0052] (5) Obtain the corresponding w x from the subscript x of r x ;

[0053] (6) Calculate the threshold value of the signal noise intensity of the electrical equipment:

[0054] (7) Determine whether the noise intensity is greater than the noise intensity threshold value. If so, the signal noise of the electrical equipment is abnormal.

[0055] Finally, it should be noted that the technical solutions of the present invention are only illustrated in combination with the above embodiments and are not limited thereto. Those of ordinary skill in the art should understand that those skilled in the art can modify the specific embodiments of the present invention or make equivalent substitutions, but these modifications or changes are all within the scope of the claims pending for approval.

Claims

1. A method for detecting abnormal working environment of an electrical equipment, characterized in that, The method for detecting abnormal working environment of the electrical equipment comprises the following steps: Step (1): Collect the basic environment information and working current of the electrical equipment; Step (2): Judge the abnormality of the working environment of the electrical equipment according to the basic environment information of the electrical equipment; Step (3): Judge whether the electrical equipment works abnormally according to the working current; Step (4): Calculate the noise intensity of the working current; Step (5): Judge whether the signal noise of the electrical equipment is abnormal according to the noise intensity: (1) Extract the k-th layer wavelet coefficient of the working current; (2) After sorting the squares of the wavelet coefficients of the k-th layer of the working current, a vector W = [w1, w2, ···, w n is obtained; (3) Calculate the risk vector \(R = [r_1, r_2, \cdots, r\) n , where \(n\) is the number of wavelet coefficients at the \(k\)th layer; (4) Take the minimum value r in R x as the risk value; (5) Obtain the corresponding w from the subscript x of r x ; x ​ (6) Calculate the signal noise intensity threshold of the electrical equipment: where e is the noise intensity; (7) Judge whether the noise intensity is greater than the noise intensity threshold value. If so, the signal noise of the electrical equipment is abnormal.

2. The method for detecting abnormal working environment of an electrical equipment according to claim 1, characterized in that, The basic environment information of the electrical equipment includes an environmental temperature signal, an environmental humidity signal and a working magnetic field signal.

3. The method for detecting abnormal working environment of an electrical equipment according to claim 2, characterized in that, The environmental temperature signal and the environmental humidity signal are collected by a temperature and humidity sensor, and the magnetic field signal is collected by a magnetic field sensor to collect the working magnetic field signal.

4. The method for detecting abnormal working environment of an electrical equipment according to claim 3, characterized in that, The specific method for judging the abnormality of the working environment of the electrical equipment according to the basic environment information of the electrical equipment is: Judge whether the environmental temperature signal is greater than the temperature reference value. If so, the environmental temperature of the electrical equipment is high; Judge whether the environmental humidity signal is greater than the humidity reference value. If so, the environmental humidity of the electrical equipment is high; Judge whether the working magnetic field signal is greater than the magnetic field reference value. If so, the working magnetic field of the electrical equipment is high.

5. The method for detecting abnormal working environment of an electrical equipment according to claim 4, characterized in that, The specific method for judging whether the electrical equipment works abnormally according to the working current is: Judge whether the working current is greater than the current reference value. If so, the electrical equipment works abnormally.

6. The method for detecting abnormal working environment of an electrical equipment according to claim 5, characterized in that, The method for calculating the noise intensity of the working current is: First, perform wavelet decomposition on the working current; Secondly, calculate the noise intensity as where is the k-th layer wavelet coefficient of the working current, and 1 < k < M, where M is the highest number of wavelet decompositions, and n is the number of wavelet coefficients in the k-th layer.

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