CN114136473A - Method for acquiring power supply shell temperature variance, electronic equipment and computer storage medium - Google Patents

Method for acquiring power supply shell temperature variance, electronic equipment and computer storage medium Download PDF

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Publication number
CN114136473A
CN114136473A CN202111296912.4A CN202111296912A CN114136473A CN 114136473 A CN114136473 A CN 114136473A CN 202111296912 A CN202111296912 A CN 202111296912A CN 114136473 A CN114136473 A CN 114136473A
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shell temperature
group
power supply
temperature data
data
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赵静毅
于银刚
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Traffic Control Technology TCT Co Ltd
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Traffic Control Technology TCT Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G01K7/02Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using thermoelectric elements, e.g. thermocouples
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02Means for indicating or recording specially adapted for thermometers
    • G01K1/026Means for indicating or recording specially adapted for thermometers arrangements for monitoring a plurality of temperatures, e.g. by multiplexing

Abstract

The application provides a method for acquiring a power supply shell temperature variance, electronic equipment and a computer storage medium, wherein in the service process, the method acquires environmental temperature data of a rail transit signal power supply system and shell temperature data of a power supply in real time; removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data; grouping the processed shell temperature data; determining different shell temperature values in each group and the number of the different shell temperature values; and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values. According to the method provided by the proposal, according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, the influence of the environment temperature data on the shell temperature data is removed, and then the shell temperature variances of each group of the power supply are obtained, so that the real-time and accurate acquisition of the shell temperature variance data is realized.

Description

Method for acquiring power supply shell temperature variance, electronic equipment and computer storage medium
Technical Field
The present disclosure relates to the field of rail transit technologies, and in particular, to a method for obtaining a power supply housing temperature variance, an electronic device, and a computer storage medium.
Background
The rail transit signal power supply system is subjected to impact of various stresses for a long time in the service process, and degradation is inevitable. Its degradation can seriously affect the normal operation of its back-end load devices. Therefore, the degradation characterization parameters are obtained in real time in the service process of the power supply, and the method has important significance for evaluating the degradation state of the power supply and ensuring the safety and reliability of a rail transit signal system.
At present, the output voltage and ripple voltage are often adopted as degradation characterization parameters of the power supply. And evaluating the state of the power supply according to the change degree of the degradation characterization parameters in the service process of the power supply. However, the ripple voltage of the power supply is as high as 10-100MHz, so the sampling frequency of the monitoring device is highly required. Moreover, the amplitude of the ripple voltage itself is small, usually 1-10mV, and the accuracy requirement for the monitoring equipment is also high. In addition, the data amount of the ripple voltage data is also large, and the requirements on data storage and data processing are extremely high. This greatly increases the acquisition cost and the processing cost of ripple voltage data, and is not favorable to the generalization popularization.
In an ideal case, the output voltage may be indicative of the degradation of the power supply. However, the power supply in practical application has a voltage feedback regulating circuit inside. The output voltage variation of the power supply is small under the influence of the regulation and control of the internal voltage feedback circuit. Therefore, the output voltage cannot accurately represent the degradation degree of the power supply in the actual service process.
Based on the above, a suitable degradation characterization parameter needs to be found, and a real-time acquisition method of the degradation characterization parameter is provided, so that the degradation of the rail transit signal power supply system in the service process can be effectively characterized, and meanwhile, the data sampling amount and the data processing cost are reduced.
It is worth noting that in the power supply degradation process, the action of the internal feedback adjusting circuit can promote the fluctuation degree of the power supply shell temperature to increase, which is represented by the increase of the shell temperature variance. Therefore, the shell temperature variance can be used as a degradation characterizing parameter of the power supply.
Since the shell temperature variance is obtained by processing the shell temperature of the power supply and is influenced by external factors, real-time and accurate shell temperature variance data acquisition needs to be provided.
Disclosure of Invention
In order to solve one of the technical defects, the application provides a shell temperature variance obtaining method, equipment and medium for a rail transit signal power supply system.
In a first aspect of the present application, a method for obtaining a temperature variance of a power supply case is provided, where the method includes:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time;
removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data;
grouping the processed shell temperature data;
determining different shell temperature values in each group and the number of the different shell temperature values;
and determining the shell temperature variance of each group of the power supply according to different shell temperature values in each group and the number of different shell temperature values.
Optionally, the grouping the processed shell temperature data includes:
and grouping the processed shell temperature data according to the acquisition time of the processed shell temperature data.
Optionally, the determining different shell temperature values and the number of different shell temperature values in each group includes:
for any of the groups of the plurality of groups,
sorting the processed shell temperature data in any one group;
taking the shell temperature data with different sequenced data values as different shell temperature values of any one group;
and taking the times of appearance of the different shell temperature values in the sequence as the number of the different shell temperature values.
Optionally, the acquiring, in the service process, environmental temperature data of the rail transit signal power supply system and shell temperature data of the power supply in real time includes:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time through temperature monitoring equipment;
wherein the temperature monitoring device comprises a plurality of thermocouples; wherein the number of thermocouples is greater than the number of power sources;
the surface of each power supply is externally connected with at least one thermocouple, and the shell temperature data of each power supply is collected by the externally connected thermocouple;
and the rest thermocouples are arranged in the rail transit signal power supply system, and the environmental temperature data is collected by the rest thermocouples.
Optionally, the removing the influence of the environmental temperature data on the shell temperature data to obtain processed shell temperature data includes:
and taking the difference between the shell temperature data and the environment temperature data as processed shell temperature data.
Optionally, the determining the variance of the shell temperatures of each group of the power supply according to the different shell temperature values and the number of the different shell temperature values in each group includes:
normalizing the number of different shell temperature values in each group;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values.
Optionally, the normalizing the number of different shell temperature values in each group includes:
for any one group of shell temperature values, the normalized number is the quotient of the number of any one shell temperature value of the any one group and the sum of the numbers of all shell temperature values in the any one group.
Optionally, the determining the variance of the shell temperatures of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values includes:
for any of the groups of the plurality of groups,
determining the shell temperature mean value of the any group as the product of a set formed by different shell temperature values in the any group and a set transpose formed by the normalized number of the different shell temperature values in the any group;
determining the arbitrary set of shell temperature variances based on the arbitrary set of shell temperature means.
In a second aspect of the present application, there is provided an electronic device comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method according to the first aspect.
In a third aspect of the present application, there is provided a computer readable storage medium having a computer program stored thereon; the computer program is executed by a processor to implement the method according to the first aspect as described above.
The application provides a method for acquiring a power supply shell temperature variance, electronic equipment and a computer storage medium, wherein in the service process, the method acquires environmental temperature data of a rail transit signal power supply system and shell temperature data of a power supply in real time; removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data; grouping the processed shell temperature data; determining different shell temperature values in each group and the number of the different shell temperature values; and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values.
According to the method provided by the proposal, the influence of the environment temperature data on the shell temperature data is removed according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, and then the shell temperature variances of all groups of the power supply are obtained, so that the shell temperature variance data can be accurately obtained in real time.
Additionally, in one implementation, the processed shell temperature data is grouped according to the acquisition time of the processed shell temperature data. The shell temperature variance of the power supply is decomposed into the shell temperature variances of each group in the power supply by grouping, and the grouping is obtained based on the acquisition time of the shell temperature data, so that the correlation of the shell temperature data in the groups on a time sequence is ensured, the shell temperature data in each group can accurately reflect the degradation condition of the power supply in the acquisition time, and the accuracy of the final shell temperature variance is ensured.
In addition, in one implementation, for any one group, the processed shell temperature data in any one group is sorted, and different shell temperature values and the number of different shell temperature values in each group are determined according to the sorting. The different shell temperature values and the number of the different shell temperature values in each group are determined through sequencing, so that the determining efficiency and the accuracy of the different shell temperature values and the number of the different shell temperature values can be effectively improved.
In addition, in one implementation, the environment temperature data of the power supply system of the medium track traffic signal and the shell temperature data of the power supply are acquired in real time through the temperature monitoring equipment, and the temperature monitoring equipment configures only one thermocouple for each power supply to acquire the shell temperature data in a targeted manner, so that the accuracy of the acquired shell temperature data is ensured, and the accuracy of the final shell temperature variance is further ensured.
In addition, in one implementation, the difference between the shell temperature data and the environment temperature data is used as the processed shell temperature data, so that the shell temperature data adopted in the final shell temperature variance calculation does not include the influence of the environment temperature, the deviation between the calculated value and the actual value of the shell temperature variance caused by the influence of the environment temperature on the shell temperature variance is avoided, and the final calculated shell temperature variance can accurately represent the actual condition of the power supply.
In addition, in one implementation, the number of different shell temperature values is normalized, and the shell temperature variance of each group of the power supply is determined based on the different shell temperature values in each group and the normalized number of the different shell temperature values. The comparability among all groups of shell temperature values is ensured through normalization, and the computability of determining all groups of shell temperature variances through the normalized number of all different shell temperature values is ensured.
In addition, in one implementation, the normalization scheme for shell temperature values is specified by normalizing the ratio of the number of different shell temperature values to the total number of groups in which they are present.
In addition, in one implementation, the mean value of the shell temperature of each group is determined according to a set formed by different shell temperature values in each group and a set formed by the normalized number of different shell temperature values in each group, and then the variance of the shell temperature of any group is determined based on the mean value of the shell temperature of any group, so that the implementation scheme of the variance is clarified.
According to the electronic equipment, the computer program is executed by the processor to remove the influence of the environment temperature data on the shell temperature data to obtain each group of shell temperature variance of the power supply according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, and real-time and accurate acquisition of the shell temperature variance data is achieved.
According to the computer-readable storage medium provided by the application, the computer program is executed by the processor to remove the influence of the environment temperature data on the shell temperature data to obtain each group of shell temperature variance of the power supply according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, so that the real-time and accurate acquisition of the shell temperature variance data is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a method for acquiring a temperature variance of a power supply case according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an acquisition architecture of a temperature monitoring device according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram illustrating processing of casing temperature data and ambient temperature data according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a variation curve of a shell temperature mean and a shell temperature variance provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In the process of implementing the present application, the inventor finds that, in the power supply degradation process, the action of the internal feedback regulation circuit causes the fluctuation degree of the power supply shell temperature to increase, which is expressed as the shell temperature variance to increase. Therefore, the shell temperature variance can be used as a degradation characterizing parameter of the power supply. However, since the shell temperature variance is obtained according to the shell temperature processing of the power supply and is influenced by external factors, it is necessary to provide real-time and accurate shell temperature variance data.
In order to solve the above problems, an embodiment of the present application provides a method for acquiring a power supply shell temperature variance, an electronic device, and a computer storage medium, where in a service process, environmental temperature data of a rail transit signal power supply system and shell temperature data of a power supply are acquired in real time; removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data; grouping the processed shell temperature data; determining different shell temperature values in each group and the number of the different shell temperature values; and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values. According to the method provided by the proposal, according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, the influence of the environment temperature data on the shell temperature data is removed, and then the shell temperature variances of each group of the power supply are obtained, so that the real-time and accurate acquisition of the shell temperature variance data is realized.
Wherein, the influence of environmental factor to the shell temperature is avoided in the scheme of this application, can acquire ambient temperature and shell temperature data respectively to get rid of ambient temperature's influence in the data of shell temperature. In addition, in order to obtain the shell temperature more accurately, the scheme of the application can also group the data, and the final shell temperature data can be obtained according to the data of each group. Because the data are subdivided, each group of data can more accurately reflect the characteristics of the shell temperature of the group of data, so that the final shell temperature is obtained by integrating the characteristics of each group of data, and the final shell temperature is more accurate.
Referring to fig. 1, the implementation process of the power supply housing temperature variance obtaining method provided in this embodiment is as follows:
101, acquiring the environmental temperature data of the rail transit signal power supply system and the shell temperature data of the power supply in real time in the service process.
When the step is specifically implemented, the environmental temperature data of the rail transit signal power supply system and the shell temperature data of the power supply can be acquired in real time through the temperature monitoring equipment in the service process.
Wherein the temperature monitoring device comprises a plurality of thermocouples comprising n +1 thermocouples; the number of the thermocouples is more than that of the power supplies, and n is the number of the power supplies;
the surface of each power supply is externally connected with at least one thermocouple, and each n thermocouples are respectively externally connected with the surface of each power supply and used for acquiring shell temperature data of each power supply and acquiring the shell temperature data by the thermocouples externally connected with the power supplies;
and the residual thermocouples are arranged in the rail transit signal power supply system and used for acquiring environmental temperature data and acquiring the environmental temperature data by the residual thermocouples.
For example, if the number of power supplies is n, the temperature monitoring device may include n +1 thermocouples.
The n thermocouples are respectively connected with the surfaces of the power supplies in an external mode and used for collecting shell temperature data of the power supplies.
And the rest thermocouples are arranged in the rail transit signal power supply system and used for acquiring environmental temperature data.
The power supply is used for acquiring the power supply in the rail transit signal power supply system, and the power supply is used for acquiring the shell temperature variance, and can be used for acquiring all power supplies in the rail transit signal power supply system or acquiring part of power supplies in the rail transit signal power supply system. The present embodiment does not limit the number of power supplies in this step.
There are several power supplies required to obtain the variance of the shell temperature, and there are +1 thermocouples in the temperature monitoring device, of which several are used for measuring the shell temperature data of each power supply, and the other 1 is used for measuring the environmental temperature data.
Referring to the acquisition architecture of the temperature monitoring device shown in fig. 2, the thermocouples (thermocouple 201-1 to thermocouple 201-n) on the temperature monitoring device 201 are externally connected to the surface of each power supply (power supply 202-1 to power supply 202-n) in the rail transit signal power supply system 202, and the shell temperature data T of each power supply is acquired in real timei,j. And the thermocouple 201-0 is arranged in the rail transit signal power supply system 202 to acquire the ambient temperature T in real timeenv
Wherein the content of the first and second substances,i is a power supply identifier, i is 1,2, … n, j is a shell temperature data identifier, j is 1,2, … m, and m is the total number of shell temperature data. T isi,j=[Hi,1,Hi,2,…,Hi,m],Hi,mIs the mth shell temperature data of the ith power supply. The data volume of the collected shell temperature data is the same as that of the environment temperature data, so that the total data volume of the environment temperature data is m, Tenv=[h1,h2,…,hm],hmIs the mth ambient temperature data.
It should be noted that fig. 2 only illustrates that the thermocouples 201-1 to 201-n measure the shell temperature data, and the thermocouple 201-0 measures the ambient temperature, in a specific implementation, any one of the thermocouples 201-0 to 201-n may measure the ambient temperature, and the remaining n thermocouples measure the shell temperature data, which thermocouple measures the ambient temperature and which thermocouple measures the shell temperature data is not limited in this embodiment. Similarly, the present embodiment does not limit which thermocouple specifically measures which power source.
In the temperature monitoring equipment, a single thermocouple is configured for each power supply, the shell temperature data is acquired in a targeted manner, the accuracy of the acquired shell temperature data is guaranteed, and the accuracy of the final shell temperature variance is further guaranteed.
In addition, if there are a plurality of power supplies that need to obtain the shell temperature variance, the following steps 102 to 105 are performed on each power supply to determine the shell temperature variance of each power supply.
And 102, removing the influence of the environment temperature data on the shell temperature data to obtain the processed shell temperature data.
For example, the difference between the shell temperature data and the ambient temperature data is used as the processed shell temperature data.
If the shell temperature data of the ith power supply acquired in the step 101 is Ti,j=[Hi,1,Hi,2,…,Hi,m]Ambient temperature data is Tenv=[h1,h2,…,hm]The shell temperature T of the temperature influence in the warm box is removedi,process=Ti,j-Tenv
Through the execution of the step, the shell temperature data adopted during the final shell temperature variance calculation does not include the influence of the ambient temperature, the deviation between the calculated value and the actual value of the shell temperature variance caused by the influence of the ambient temperature on the shell temperature variance is avoided, and the final calculated shell temperature variance can accurately represent the actual condition of the power supply.
And 103, grouping the processed shell temperature data.
Specifically, the processed shell temperature data may be grouped according to the acquisition time of the processed shell temperature data.
The number of the shell temperature data of each group may be the same or different, and this embodiment does not limit this.
For example, the processed shell temperature data T obtained in step 102i,processDivided into r groups, and each group of shell temperature data is represented as Tgroup,seq=[Ti,1,Ti,2,…,Ti,r]Wherein, Ti,rFormed as a set of processed shell temperature data in the r-th group.
The shell temperature variance of the power supply is decomposed into the shell temperature variances of each group in the power supply by grouping, and the grouping is obtained based on the acquisition time of the shell temperature data, so that the correlation of the shell temperature data in the groups on a time sequence is ensured, the shell temperature data in each group can accurately reflect the degradation condition of the power supply in the acquisition time, and the accuracy of the final shell temperature variance is ensured.
And 104, determining different shell temperature values in each group and the number of different shell temperature values.
For example, for any group, the processed shell temperature data in any group is sorted, and the shell temperature data with different sorted data values is used as different shell temperature values of any group. And taking the times of appearance of the different shell temperature values in the sequence as the number of the different shell temperature values.
The sorting may be ascending sorting or descending sorting, and the low sorting rule is not limited in this embodiment.
Taking ascending sorting as an example, any group of shell temperature data obtained in step 103, such as the group-th group of shell temperature data T, will be described in detaili,groupHow to determine the implementation scheme of different shell temperature values and the number of different shell temperature values.
Wherein, group is group identification, and group is 1,2, … r.
The shell temperature data of the first group obtained in step 103 are sorted in an ascending order, and a single shell temperature value of the shell temperature data of the first group is screened and stored as Tgroup(i.e. T)groupSets formed for different shell temperature values in the group).
Obtaining the corresponding times N of each shell temperature in ascending ordergroup,tem. Wherein tem is the shell temperature value mark, Ngroup,temIs the number of the tem shell temperature values in the group. tem 1,2, … qgroup,qgroupIs the number (i.e., total) of different shell temperature values in the group. Since the shell temperature values are the number of the shell temperature data with different numerical values, the total number q of the shell temperature values in the groupgroupLess than or equal to the total number of shell temperature data for the group.
Then, N is addedgroup,temDivided by the shell temperature data amount sigma in each grouptemNgroup,tem(i.e. Sigma)temNgroup,temThe sum of the numbers of all shell temperature values in the group) to obtain the normalized number n of the tem shell temperature valuesgroup,tem(i.e., n)group,temNormalized number of the tem shell temperature values).
In the step, different shell temperature values and the number of different shell temperature values in each group are determined by sequencing, so that the determining efficiency and the accuracy of the different shell temperature values and the number of the different shell temperature values can be effectively improved.
And 105, determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values.
In specific implementation, the number of different shell temperature values in each group is normalized. And then determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values.
When the number of different shell temperature values in each group is normalized, the normalized number of any shell temperature value in any group is the quotient of the number of any shell temperature value in any group and the sum of the number of all shell temperature values in any group.
For example, for any group, the number of any shell temperature value in any group is normalized by the following formula:
Figure BDA0003334360580000101
wherein, group is group mark, tem is shell temperature value mark, Ngroup,temIs the number of the tem shell temperature values in the group, sigmatemNgroup,temIs the sum of the shell temperature values in the group ngroup,temNormalized number for the tem shell temperature value.
And determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values by performing normalization processing on the number of the different shell temperature values. The comparability among all groups of shell temperature values is ensured through normalization, and the computability of determining all groups of shell temperature variances through the normalized number of all different shell temperature values is ensured.
In addition, when determining the variance of the shell temperatures of each group of the power supply according to the different shell temperature values and the normalized number of the different shell temperature values in each group, for any group, the shell temperature mean value of any group is determined to be the product of the set formed by the different shell temperature values in any group and the set transposition formed by the normalized number of the different shell temperature values in any group; and determining the shell temperature variance of any group based on the shell temperature mean of any group.
For example, for any group, the shell temperature mean value T of any group is determined according to different shell temperature values of any group and the normalized number of different shell temperature valuesgroup,mean. Determining any group of shell temperature variances
Figure BDA0003334360580000111
Figure BDA0003334360580000112
Wherein, Tgroup,temIs the tem shell temperature value in the group, qgroupIs the number of different shell temperature values in the group.
T is determined by the following formulagroup,mean
Tgroup,mean=E(Tgroup,tem)=Tgroup·ngroup T
Wherein, TgroupSet formed for different shell temperature values in group, ngroupA set formed for the normalized number of each different shell temperature value in the group.
The processing procedure of the shell temperature data and the environmental temperature data of the method for acquiring the variance of the shell temperature of the power supply provided in the embodiment is shown in fig. 3.
Acquiring shell temperature data T of ith power supply in step 101i,j=[Hi,1,Hi,2,…,Hi,m]Ambient temperature data Tenv=[h1,h2,…,hm]。
In step 102, the influence of the environmental temperature data on the shell temperature data is removed, and processed shell temperature data T is obtainedi,process=Ti,j-Tenv=[Hi,1-h1,Hi,2-h2,…,Hi,m-1-hm-1,Hi,m-hm]。
In step 103, the processed shell temperature data T is processedi,processGrouping to obtain Tgroup,seq=[Ti,1,Ti,2,…,Ti,r]Wherein, Ti,rFormed as a set of processed shell temperature data in the t-th group,
Figure BDA0003334360580000113
pris the total amount of the shell temperature data after processing in the r-th group, and therefore,
Figure BDA0003334360580000114
in step 104, different shell temperature values T in each group are determinedgroupAnd the number n of different shell temperature valuesgroupWherein, in the step (A),
Figure BDA0003334360580000115
qrthe number of different shell temperature values in the r-th group,
Figure BDA0003334360580000121
in step 105, the T in each group is determinedgroupAnd ngroupAnd determining the shell temperature variance of each group of the power supply.
Through the steps, the obtained shell temperature mean value Tgroup,meanVariance of temperature of the crust Tgroup,varAs shown in fig. 4. According to the single shell temperature value T in each groupgroupVariance T ofgroup,varQuantitatively characterizing the change in shell temperature.
The problem that the normal operation of rear-end load equipment of a rail transit signal power supply system is influenced due to inevitable degradation in the service process is solved. In the existing scheme, degradation characterization parameters such as output voltage or ripple voltage and the like are adopted to evaluate the degradation degree of the power supply in real time, so that maintenance measures can be taken immediately, and the reliability and safety of the power supply are improved.
At present, the degradation characteristic parameters of the power supply have the following problems:
1, the ripple voltage has high requirements on the precision and sampling rate of the sampling device, and also has high requirements on data storage and processing. The frequency of the ripple voltage of the power supply is high, and the ripple voltage is usually 10MHz to 100MHz, so the sampling frequency of the ripple voltage monitoring device is high. Moreover, the amplitude of the ripple voltage is small, the ripple voltage generally fluctuates between 1mV and 10mV, and the small ripple voltage amplitude has a high requirement on the sampling precision of the monitoring equipment. In addition, the degradation characteristic parameters are usually monitored and processed in real time, and the data storage and data processing requirements are extremely high due to the large data volume of the ripple voltage. The sampling requirement and the output processing requirement both greatly increase the acquisition cost and the processing cost of ripple voltage data, and are not beneficial to generalization and popularization.
2, the degradation evaluation accuracy of the output voltage to the power supply in actual service is low. Although, ideally, the output voltage may be indicative of the degradation of the power supply. However, the power supply in practical application has a feedback regulating circuit therein, which has a larger difference from the power supply in an ideal case. In the actual service process, the output voltage variation of the power supply is extremely small and even kept constant under the influence of the regulation and control of the internal feedback circuit. Therefore, the output voltage cannot accurately represent the degradation degree of the power supply in the actual service process.
However, in the power supply degradation process, the action of the internal feedback regulating circuit can promote the fluctuation degree of the power supply shell temperature to increase, which is represented by the increase of the shell temperature variance. Therefore, the shell temperature variance can be used as a degradation characterizing parameter of the power supply. Since the shell temperature variance is obtained according to the shell temperature processing of the power supply, a method for acquiring the shell temperature variance data in real time needs to be provided. In addition, the shell temperature variance is affected by the external ambient temperature, and thus the influence of the external ambient temperature in the shell temperature variance data needs to be removed.
The power supply shell temperature variance obtained by the method for obtaining the power supply shell temperature variance can be used as a degradation characteristic parameter of a power supply, so that the degradation state of the power supply is evaluated, and the safety and the reliability of a rail transit signal system are guaranteed. The method can avoid the problems that the characteristic parameters have high requirements on monitoring equipment and have high requirements on data storage and processing, can also avoid the problem that the degradation characteristic parameters cannot accurately evaluate the degradation degree of the power supply in the service process, and can greatly improve the reliability and the safety of the rail transit signal power supply system.
According to the method provided by the embodiment, according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, the influence of the environment temperature data on the shell temperature data is removed, and then each group of shell temperature variances of the power supply are obtained, so that the shell temperature variance data can be accurately obtained in real time.
Based on the same inventive concept of a method for obtaining a power supply case temperature variance, the present embodiment provides an electronic device, including: memory, processor, and computer programs.
Wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method for obtaining the power supply case temperature variance as shown in fig. 1.
In particular, the method comprises the following steps of,
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time;
removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data;
grouping the processed shell temperature data;
determining different shell temperature values in each group and the number of the different shell temperature values;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values.
Optionally, grouping the processed shell temperature data includes:
and grouping the processed shell temperature data according to the acquisition time of the processed shell temperature data.
Optionally, determining different shell temperature values and the number of different shell temperature values in each group includes:
for any of the groups of the plurality of groups,
sorting the processed shell temperature data in any group;
taking the shell temperature data with different sequenced data values as different shell temperature values of any group;
and taking the times of appearance of the different shell temperature values in the sequence as the number of the different shell temperature values.
Optionally, in the service process, the obtaining environmental temperature data of the rail transit signal power supply system and the shell temperature data of the power supply in real time includes:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time through temperature monitoring equipment;
wherein the temperature monitoring device comprises a plurality of thermocouples; wherein, the number of the thermocouples is more than that of the power supplies;
the surface of each power supply is externally connected with at least one thermocouple, and the shell temperature data of each power supply is collected by the externally connected thermocouple;
the rest thermocouples are arranged in a rail transit signal power supply system, and the environmental temperature data is collected by the rest thermocouples.
Optionally, removing the influence of the environmental temperature data on the shell temperature data to obtain processed shell temperature data, including:
and taking the difference between the shell temperature data and the environment temperature data as processed shell temperature data.
Optionally, determining a shell temperature variance of each group of the power supply according to different shell temperature values in each group and the number of different shell temperature values, including:
normalizing the number of different shell temperature values in each group;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values.
Optionally, the normalizing the number of different shell temperature values in each group includes:
for any number of shell temperature values in any one group, the normalized number is the quotient of the number of any shell temperature values in any one group and the sum of the numbers of all shell temperature values in any one group.
Optionally, determining the variance of the shell temperatures of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values, including:
for any of the groups of the plurality of groups,
determining the shell temperature mean value of any group as the product of a set formed by different shell temperature values in any group and a set transpose formed by the normalized number of different shell temperature values in any group;
determining the variance of the shell temperature of any group based on the mean value of the shell temperature of any group.
Different shell temperature values and sets each formed without in each group were determined.
In the electronic device provided by this embodiment, the computer program is executed by the processor to remove the influence of the environment temperature data on the shell temperature data and obtain the shell temperature variances of each group of the power supply according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, so that the real-time and accurate acquisition of the shell temperature variance data is realized.
Based on the same inventive concept of a method of acquiring a variance of power supply case temperature, the present embodiment provides a computer-readable storage medium having stored thereon a computer program.
Wherein the computer program is executed by the processor to implement the method for obtaining the variance of the power supply case temperature as shown in fig. 1.
In particular, the method comprises the following steps of,
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time;
removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data;
grouping the processed shell temperature data;
determining different shell temperature values in each group and the number of the different shell temperature values;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the number of the different shell temperature values.
Optionally, grouping the processed shell temperature data includes:
and grouping the processed shell temperature data according to the acquisition time of the processed shell temperature data.
Optionally, determining different shell temperature values and the number of different shell temperature values in each group includes:
for any of the groups of the plurality of groups,
sorting the processed shell temperature data in any group;
taking the shell temperature data with different sequenced data values as different shell temperature values of any group;
and taking the times of appearance of the different shell temperature values in the sequence as the number of the different shell temperature values.
Optionally, in the service process, the obtaining environmental temperature data of the rail transit signal power supply system and the shell temperature data of the power supply in real time includes:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time through temperature monitoring equipment;
wherein the temperature monitoring device comprises a plurality of thermocouples; wherein, the number of the thermocouples is more than that of the power supplies;
the surface of each power supply is externally connected with at least one thermocouple, and the shell temperature data of each power supply is collected by the externally connected thermocouple;
the rest thermocouples are arranged in a rail transit signal power supply system, and the environmental temperature data is collected by the rest thermocouples.
Optionally, removing the influence of the environmental temperature data on the shell temperature data to obtain processed shell temperature data, including:
and taking the difference between the shell temperature data and the environment temperature data as processed shell temperature data.
Optionally, determining a shell temperature variance of each group of the power supply according to different shell temperature values in each group and the number of different shell temperature values, including:
normalizing the number of different shell temperature values in each group;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values.
Optionally, the normalizing the number of different shell temperature values in each group includes:
for any number of shell temperature values in any one group, the normalized number is the quotient of the number of any shell temperature values in any one group and the sum of the numbers of all shell temperature values in any one group.
Optionally, determining the variance of the shell temperatures of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values, including:
for any of the groups of the plurality of groups,
determining the shell temperature mean value of any group as the product of a set formed by different shell temperature values in any group and a set transpose formed by the normalized number of different shell temperature values in any group;
determining the variance of the shell temperature of any group based on the mean value of the shell temperature of any group.
In the computer-readable storage medium provided by this embodiment, the computer program on the computer-readable storage medium is executed by the processor to remove the influence of the environment temperature data on the shell temperature data to obtain each group of shell temperature variances of the power supply according to the environment temperature data of the rail transit signal power supply system and the shell temperature data of the power supply, so as to achieve real-time and accurate acquisition of the shell temperature variance data.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be implemented by adopting various computer languages, such as object-oriented programming language Java and transliterated scripting language JavaScript.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (10)

1. A power supply shell temperature variance obtaining method is characterized by comprising the following steps:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time;
removing the influence of the environment temperature data on the shell temperature data to obtain processed shell temperature data;
grouping the processed shell temperature data;
determining different shell temperature values in each group and the number of the different shell temperature values;
and determining the shell temperature variance of each group of the power supply according to different shell temperature values in each group and the number of different shell temperature values.
2. The method of claim 1, wherein the grouping the processed shell temperature data comprises:
and grouping the processed shell temperature data according to the acquisition time of the processed shell temperature data.
3. The method of claim 2, wherein determining the different shell temperature values and the number of different shell temperature values in each group comprises:
for any of the groups of the plurality of groups,
sorting the processed shell temperature data in any one group;
taking the shell temperature data with different sequenced data values as different shell temperature values of any one group;
and taking the times of appearance of the different shell temperature values in the sequence as the number of the different shell temperature values.
4. The method according to claim 1, wherein the acquiring environmental temperature data of the rail transit signal power supply system and shell temperature data of the power supply in real time during the service process comprises:
in the service process, acquiring the environmental temperature data of a rail transit signal power supply system and the shell temperature data of a power supply in real time through temperature monitoring equipment;
wherein the temperature monitoring device comprises a plurality of thermocouples; wherein the number of thermocouples is greater than the number of power sources;
the surface of each power supply is externally connected with at least one thermocouple, and the shell temperature data of each power supply is collected by the externally connected thermocouple;
and the rest thermocouples are arranged in the rail transit signal power supply system, and the environmental temperature data is collected by the rest thermocouples.
5. The method of claim 4, wherein said removing the effect of the ambient temperature data on the shell temperature data to obtain processed shell temperature data comprises:
and taking the difference between the shell temperature data and the environment temperature data as processed shell temperature data.
6. The method of claim 5, wherein determining each set of shell temperature variances for the power supply based on the different shell temperature values and the number of different shell temperature values in each set comprises:
normalizing the number of different shell temperature values in each group;
and determining the shell temperature variance of each group of the power supply according to the different shell temperature values in each group and the normalized number of the different shell temperature values.
7. The method of claim 6, wherein normalizing the number of each different shell temperature value in each group comprises:
for any one group of shell temperature values, the normalized number is the quotient of the number of any one shell temperature value of the any one group and the sum of the numbers of all shell temperature values in the any one group.
8. The method of claim 6, wherein determining each set of shell temperature variances for the power supply based on the different shell temperature values in each set and the normalized number of each different shell temperature value comprises:
for any of the groups of the plurality of groups,
determining the shell temperature mean value of the any group as the product of a set formed by different shell temperature values in the any group and a set transpose formed by the normalized number of the different shell temperature values in the any group;
determining the arbitrary set of shell temperature variances based on the arbitrary set of shell temperature means.
9. An electronic device, comprising:
a memory;
a processor; and
a computer program;
wherein the computer program is stored in the memory and configured to be executed by the processor to implement the method of any one of claims 1-8.
10. A computer-readable storage medium, having stored thereon a computer program; the computer program is executed by a processor to implement the method of any one of claims 1-8.
CN202111296912.4A 2021-11-02 2021-11-02 Method for acquiring power supply shell temperature variance, electronic equipment and computer storage medium Pending CN114136473A (en)

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