CN112836359B - Safety evaluation method for power supply and distribution equipment of cigarette production enterprises - Google Patents
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Abstract
The application provides a safety evaluation method of power supply and distribution equipment of a cigarette production enterprise. The method comprises the steps of utilizing a primary alarm temperature sequence and a secondary alarm temperature sequence set by power supply equipment and a load current sequence of the equipment, utilizing a dynamic time warping algorithm to calculate the similarity of the temperature sequence and the current sequence, and determining an equipment degradation threshold value and a fault threshold value. And (3) taking a device temperature sequence measured by an online temperature measurement system and a load current sequence of power supply and distribution equipment, calculating a similarity value by using a dynamic time warping algorithm, and comparing the similarity value with a set threshold value to realize effective evaluation of the safety of the power supply and distribution equipment. The method provided by the application does not need to change the data with different sampling rates, comprehensively utilizes different monitoring amounts of the power supply and distribution system, eliminates the defect of lower accuracy of a single data or single criterion evaluation result, improves the accuracy of equipment power supply safety evaluation, and has a better effect on the safety evaluation of the power supply and distribution equipment of cigarette enterprises with larger production plan change.
Description
Technical Field
The invention belongs to the field of cigarettes, and particularly relates to a safety evaluation method of power supply and distribution equipment of a cigarette production enterprise.
Background
Cigarette manufacturing enterprises are generally divided into main production workshops such as sorting, threshing and redrying, shredding, wrapping and the like, and other auxiliary workshops and departments, and are affected by different changes of production plans and different operation time, and the heating conditions caused by different loads born by power supply and distribution equipment and cables in different time periods are different.
To monitor the heat generation conditions of the equipment during operation, an on-line temperature monitoring system is introduced to monitor the temperature variation of critical equipment and primary connection points. The load current flowing through the equipment is different when the load changes, and the temperature data measured by the temperature monitoring system is also different. If only certain monitoring data are used for safety evaluation of the equipment, the influence of measurement errors on an evaluation result cannot be avoided, the result reliability is low, and when various monitoring data are used for evaluation, the problem of data reprocessing caused by different sampling rates has to be faced.
Disclosure of Invention
In order to comprehensively utilize monitoring data of different sampling rates, improve the accuracy of equipment safety evaluation, ensure the safety of equipment operation, it is necessary to provide a safety evaluation method for comprehensive temperature and load current so as to improve the reliability of equipment safety evaluation.
In order to achieve the above purpose, the present invention is realized by adopting the following technical scheme: the method comprises the following steps: step 1, calculating similarity values respectively by using a device load current sampling sequence and a set primary alarm and secondary alarm temperature sampling sequence to serve as a device degradation threshold value and a fault threshold value;
Step 2, taking a temperature measurement sequence of a temperature on-line monitoring system of the power supply equipment, and then taking a load current sampling sequence of a time window with the same length at the corresponding moment, and carrying out similarity calculation of the temperature sequence and the current sequence by using a dynamic time warping algorithm;
And step 3, comparing the calculated result with a set threshold value, thereby realizing the safety evaluation of the power supply and distribution equipment.
Taking a primary alarm temperature sampling sequence with the length of 10 minutes, a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment degradation threshold; and (3) taking a secondary alarm temperature sampling sequence with the length of 10 minutes, a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment fault threshold.
Preferably, the method for calculating the equipment degradation threshold value is as follows: s101: acquiring a primary alarm temperature sampling sequence with the length of 10 minutes:
Tset1＝(t′1,t′2···t′m)
wherein T set1 is a set primary alarm temperature sequence, and T' is a temperature value
S102: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
wherein I is the actual load current sampling current sequence of the device, and I is the actual load current value of the device.
S103: the similarity is calculated by using a dynamic time warping algorithm:
D1＝DTW(Tset1,I)
Wherein D 1 is the similarity value of two sequences, and DTW is a dynamic time warping algorithm. D 1 is taken as the device degradation threshold.
Preferably, the method for calculating the equipment failure threshold value is as follows: s201: acquiring a secondary alarm temperature sampling sequence with the length of 10 minutes:
Tset2＝(t″1,t″2···t″m)
wherein T set2 is a set secondary alarm temperature sequence, and T' is a temperature value;
S202: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
S203: the similarity is calculated by using a dynamic time warping algorithm:
D2＝DTW(Tset2,I)
Wherein D 2 is the similarity value of two sequences, and DTW is a dynamic time warping algorithm. D 2 is taken as the equipment failure threshold.
7. Preferably, the method for calculating the similarity between the temperature sequence and the current sequence in the step 2 by using a dynamic time warping algorithm is as follows: s301: acquiring a temperature sampling sequence of an online temperature measurement system with the length of 10 minutes:
T＝(t1,t2···tm)
wherein T is a heating temperature sampling sequence of the actual operation of the equipment, and T is a temperature value;
s302: acquiring a 10-minute device actual load current sampling sequence:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
S303, performing error compensation on a temperature sampling sequence of an online temperature measurement system:
t0＝t+λε
wherein t 0 is the compensated temperature value, t is the temperature sampling value of the temperature measuring system, and λε is the linear combination of various errors;
S304: calculating similarity values of an actual operation heating temperature sampling sequence and an actual load current sampling sequence of the equipment by using a dynamic time warping algorithm:
D＝DTW(T0,I)
Wherein D is the similarity value of two sequences, DTW is a dynamic time warping algorithm, and T 0 is the temperature sequence after error compensation.
Preferably, the step 3 compares the calculation result with a set threshold value, so as to implement the safety evaluation method of the power supply and distribution equipment as follows: s305: comparing D with D 1 and D 2, respectively, if:
D＜D1
The device security evaluation result is: the power supply equipment is in a normal running state and does not need to be processed, if:
D1＜D＜D2
The device security evaluation result is: abnormal heating condition occurs at the equipment or cable joint, the equipment or the cable joint is in a degradation state, the inspection needs to be enhanced, the power failure inspection is performed after the production is finished, and if:
D＞D2
The device security evaluation result is: the heating condition of the equipment or the cable joint is far beyond the normal running state, and the equipment or the cable joint needs to be immediately switched to the standby equipment.
The invention has the beneficial effects that:
The method has the advantages that the data with different sampling rates are not required to be transformed, different monitoring amounts of the power supply and distribution system are comprehensively utilized, the defect of low accuracy of a single data or single criterion evaluation result is overcome, the accuracy of equipment power supply safety evaluation is improved, and the method has a better effect on the safety evaluation of power supply and distribution equipment of cigarette enterprises with larger production plan change.
Drawings
Fig. 1 is a schematic diagram of a degradation threshold calculation flow of the device according to the present invention.
Fig. 2 is a schematic diagram of a failure threshold calculation flow of the device of the present invention.
FIG. 3 is a schematic diagram of a security evaluation flow of the device of the present invention.
Detailed Description
Reference will now be made in detail to the embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following examples are not representative of all implementations consistent with the application, but are merely examples of systems and methods consistent with aspects of the application as detailed in the claims.
Respectively calculating similarity values by using the equipment load current sampling sequence and the set primary alarm temperature sampling sequence and the set secondary alarm temperature sampling sequence to serve as an equipment degradation threshold value and a fault threshold value; taking a temperature measurement sequence of a temperature on-line monitoring system of power supply equipment, then taking a load current sampling sequence of a time window with the same length at the corresponding moment, and carrying out similarity calculation of the temperature sequence and the current sequence by using a dynamic time warping algorithm; and comparing the calculated result with a set threshold value, thereby realizing the safety evaluation of the power supply and distribution equipment.
And taking a primary alarm temperature sampling sequence with the length of 10 minutes, and a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment degradation threshold.
And (3) taking a secondary alarm temperature sampling sequence with the length of 10 minutes, a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment fault threshold.
And taking a temperature measurement sequence of a temperature on-line monitoring system of a certain power supply device or cable, compensating errors caused by measured equipment, measurement system precision, temperature measurement distance, background noise and environmental temperature change of the measured temperature sequence, taking a load current sampling sequence of a time window with the same length at the corresponding moment, and calculating similarity values of the temperature sampling sequence and the load current sampling sequence by using a dynamic time warping algorithm.
And comparing the similarity value with the calculated threshold value, thereby completing the safety evaluation of the power supply and distribution equipment. Example 1:
S1: referring to fig. 1, a schematic diagram of a degradation threshold calculation flow of a power supply and distribution equipment security evaluation method for performing similarity determination by using a dynamic time warping algorithm according to the present application includes the following steps:
s101: acquiring a primary alarm temperature sampling sequence with the length of 10 minutes:
Tset1＝(t′1,t′2···t′m)
Wherein T set1 is a set primary alarm temperature sequence, and T' is a temperature value.
S102: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
wherein I is the actual load current sampling current sequence of the device, and I is the actual load current value of the device.
S103: the similarity is calculated by using a dynamic time warping algorithm:
D1＝DTW(Tset1,I)
Wherein D 1 is the similarity value of two sequences, and DTW is a dynamic time warping algorithm. D 1 is taken as the device degradation threshold.
S2: referring to fig. 2, a schematic diagram of a fault threshold calculation flow of a power supply and distribution equipment safety evaluation method for performing similarity judgment by using a dynamic time warping algorithm according to the present application includes the following steps:
s201: acquiring a secondary alarm temperature sampling sequence with the length of 10 minutes:
Tset2＝(t″1,t″2···t″m)
Wherein T set2 is a set secondary alarm temperature sequence, and T' is a temperature value.
S202: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
wherein I is the actual load current sampling current sequence of the device, and I is the actual load current value of the device.
S203: the similarity is calculated by using a dynamic time warping algorithm:
D2＝DTW(Tset2,I)
Wherein D 2 is the similarity value of two sequences, and DTW is a dynamic time warping algorithm. D 2 is taken as the equipment failure threshold.
S3: referring to fig. 3, a flow chart of a power supply and distribution equipment security evaluation method for performing similarity determination by using a dynamic time warping algorithm according to the present application includes the following steps:
s301: acquiring a temperature sampling sequence of an online temperature measurement system with the length of 10 minutes:
T＝(t1,t2···tm)
wherein T is a heating temperature sampling sequence of the actual operation of the equipment, and T is a temperature value;
s302: acquiring a 10-minute device actual load current sampling sequence:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
S303, performing error compensation on a temperature sampling sequence of an online temperature measurement system:
t0＝t+λε
wherein t 0 is the compensated temperature value, t is the temperature sampling value of the temperature measuring system, and λε is the linear combination of various errors;
S304: calculating similarity values of an actual operation heating temperature sampling sequence and an actual load current sampling sequence of the equipment by using a dynamic time warping algorithm:
D＝DTW(T0,I)
Wherein D is the similarity value of two sequences, DTW is a dynamic time warping algorithm, and T 0 is the temperature sequence after error compensation.
S304: comparing D with D 1 and D 2, respectively, if:
D＜D1
the device security evaluation result is: the power supply equipment is in a normal running state and does not need to be processed. If:
D1＜D＜D2
the device security evaluation result is: abnormal heating condition occurs at the equipment or cable joint, the equipment or the cable joint is in a degradation state, inspection needs to be enhanced, and power failure inspection is performed after production is finished. If:
D＞D2
The device security evaluation result is: the heating condition of the equipment or the cable joint is far beyond the normal running state, and the equipment or the cable joint needs to be immediately switched to standby equipment and processed.
The present invention is not limited to the above-described embodiments, but it is intended to include modifications and variations within the scope of the claims and the equivalents thereof if they do not depart from the spirit and scope of the present invention.
Claims (1)
1. A safety evaluation method of power supply and distribution equipment of a cigarette production enterprise is characterized by comprising the following steps of: the method comprises the following steps: step 1, calculating similarity values respectively by using a device load current sampling sequence and a set primary alarm and secondary alarm temperature sampling sequence to serve as a device degradation threshold value and a fault threshold value;
Step 2, taking a temperature measurement sequence of a temperature on-line monitoring system of the power supply equipment, performing error compensation on the actually measured temperature sequence, taking a load current sampling sequence of a time window with the same length at the corresponding moment, and performing similarity calculation on the temperature sequence and the current sequence by using a dynamic time warping algorithm;
Step 3, comparing the calculated result with a set threshold value, thereby realizing the safety evaluation of the power supply and distribution equipment; step 1, taking a primary alarm temperature sampling sequence with the length of 10 minutes, a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment degradation threshold; taking a secondary alarm temperature sampling sequence with the length of 10 minutes, a 10-minute equipment load current value sampling sequence, calculating a similarity value by using a dynamic time warping algorithm, and taking the similarity value as an equipment fault threshold;
the equipment degradation threshold value calculating method comprises the following steps: s101: acquiring a primary alarm temperature sampling sequence with the length of 10 minutes:
Tset1＝(t′1,t′2···t′m)
wherein T set1 is a set primary alarm temperature sequence, and T' is a temperature value
S102: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
s103: the similarity is calculated by using a dynamic time warping algorithm:
D1＝DTW(Tset1,I)
Wherein, D 1 is the similarity value of two sequences, DTW is a dynamic time warping algorithm, and D 1 is taken as the equipment degradation threshold;
The equipment fault threshold value calculation method in the step 1 is as follows: s201: acquiring a secondary alarm temperature sampling sequence with the length of 10 minutes:
Tset2＝(t″1,t″2···t″m)
wherein T set2 is a set secondary alarm temperature sequence, and T' is a temperature value;
S202: obtaining a 10-minute device load current value:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
S203: the similarity is calculated by using a dynamic time warping algorithm:
D2＝DTW(Tset2,I)
Wherein, D 2 is the similarity value of two sequences, DTW is a dynamic time warping algorithm, and D 2 is taken as the equipment fault threshold;
The similarity calculation method for the temperature sequence and the current sequence by using the dynamic time warping algorithm in the step 2 is as follows: s301: acquiring a temperature sampling sequence of an online temperature measurement system with the length of 10 minutes:
T＝(t1,t2···tm)
wherein T is a heating temperature sampling sequence of the actual operation of the equipment, and T is a temperature value;
s302: acquiring a 10-minute device actual load current sampling sequence:
I＝(i1,i2···in)
i is an actual load current sampling current sequence of the equipment, and I is an actual load current value of the equipment;
S303, performing error compensation on a temperature sampling sequence of an online temperature measurement system:
t0＝t+λε
wherein t 0 is the compensated temperature value, t is the temperature sampling value of the temperature measuring system, and λε is the linear combination of various errors;
S304: calculating similarity values of an actual operation heating temperature sampling sequence and an actual load current sampling sequence of the equipment by using a dynamic time warping algorithm:
D＝DTW(T0,I)
wherein D is the similarity value of two sequences, DTW is a dynamic time warping algorithm, and T 0 is the temperature sequence after error compensation;
And step 3, comparing the calculated result with a set threshold value, thereby realizing the safety evaluation method of the power supply and distribution equipment, wherein the safety evaluation method comprises the following steps: s305: comparing D with D 1 and D 2, respectively, if:
D＜D1
The device security evaluation result is: the power supply equipment is in a normal running state and does not need to be processed, if:
D1＜D＜D2
The device security evaluation result is: abnormal heating condition occurs at the equipment or cable joint, the equipment or the cable joint is in a degradation state, the inspection needs to be enhanced, the power failure inspection is performed after the production is finished, and if:
D＞D2
The device security evaluation result is: the heating condition of the equipment or the cable joint is far beyond the normal running state, and the equipment or the cable joint needs to be immediately switched to the standby equipment.
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