Primary and secondary fusion ring main unit integrated with temperature control function and temperature control method

Abstract

The invention relates to the technical field of power distribution equipment maintenance, in particular to a primary and secondary fusion ring main unit integrated with a temperature control function and a temperature control method, and the method comprises the steps: collecting the temperature in the ring main unit, the humidity in the ring main unit and the moisture content in the ring main unit at all moments, and the moisture content outside the ring main unit at all moments in the outside air in real time; calculating a first correlation degree, a second correlation degree and a historical correlation degree; calculating the correlation anomaly degree at the current moment; calculating the noise interference degree at the current moment; and determining the size of a filtering window at the current moment, filtering the temperature and humidity in the cabinet in the local time period by combining a filtering algorithm, and controlling the heater in the ring main unit through the filtered temperature and humidity in the cabinet at the current moment. According to the invention, noise interference of temperature and humidity data in the ring main unit can be reduced, the accuracy of dew point temperature calculation is improved, the heater in the ring main unit can be controlled more accurately, and the condensation phenomenon in the ring main unit can be effectively prevented.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution equipment maintenance, and in particular to a primary-secondary integrated ring network cabinet with integrated temperature control function and a temperature control method. Background Art

[0002] The primary and secondary integrated ring main unit is a device in the power system that integrates the functions of traditional primary and secondary equipment to improve the intelligence level of the distribution network and the convenience of operation and maintenance. The primary and secondary integrated ring main unit is usually installed outdoors. Due to weather changes, it is easy to cause condensation on the surface of the electrical equipment in the ring main unit, resulting in equipment short circuit accidents, affecting the safety of equipment use and the reliability of power supply.

[0003] Condensation is usually prevented by using a heater inside the ring main unit. Condensation is usually related to the surface temperature and dew point temperature of the electrical equipment in the ring main unit, but the dew point temperature is usually related to the temperature and humidity inside the ring main unit. The dew point temperature is usually calculated based on the temperature and humidity inside the ring main unit, and the heater of the ring main unit is controlled by the dew point temperature to prevent condensation.

[0004] However, when collecting the temperature and humidity in the ring network cabinet, it will be disturbed by noise, resulting in deviations in the determination of the dew point temperature, which in turn affects the accurate control of the heater in the ring network cabinet, resulting in untimely monitoring of the condensation phenomenon. Summary of the invention

[0005] In order to solve the above technical problems, a primary and secondary integrated ring main unit with integrated temperature control function and a temperature control method are provided to solve the existing problems.

[0006] The solution to the technical problem of this application is to provide a primary and secondary integrated ring network cabinet with integrated temperature control function and a temperature control method, including the following steps: In a first aspect, an embodiment of the present application provides a temperature control method for a primary and secondary integrated ring main unit with integrated temperature control function, the method comprising the following steps: Real-time collection of the cabinet temperature, cabinet humidity, cabinet water vapor content in the air inside the ring network cabinet at each time, and the cabinet water vapor content outside the cabinet at each time in the external air; Select the temperature and humidity inside the cabinet at several moments when the water vapor content inside the cabinet is consistent with the water vapor content outside the cabinet from the historical period, and after processing the abnormalities, form a normal data set; Record multiple moments before the current moment as adjacent time periods, and record all moments within the adjacent time period and the current moment as the local time period corresponding to the current moment; Calculate the first correlation, the second correlation, and the historical correlation respectively through the correlation between the temperature in the cabinet and the humidity in the cabinet at all times in the local time period, the adjacent time period, and the normal data set; Based on the difference between the first correlation and the historical correlation, and the correlation between the difference in water vapor content inside and outside the cabinet and the humidity inside the cabinet during the local period, calculate the correlation abnormality at the current moment; Compare the differences between the first correlation degree and the second correlation degree and the historical correlation degree, and the abnormality of the temperature and humidity in the cabinet at the current moment, and calculate the noise interference degree at the current moment in combination with the correlation abnormality degree; Based on the noise interference degree, the filter window size at the current moment is determined, and the cabinet temperature and cabinet humidity in a local period are filtered in combination with the filtering algorithm. The heater in the ring network cabinet is controlled by the cabinet temperature and cabinet humidity after filtering at the current moment.

[0007] Preferably, the normal data set is further obtained by: Select a historical period in which the difference between the water vapor content inside the primary and secondary integrated ring network cabinet and the water vapor content outside the cabinet is less than a preset threshold, and obtain the cabinet temperature and cabinet humidity at all times in the historical period; Anomaly detection is performed on the cabinet temperature and cabinet humidity at all times in the historical period, and the cabinet temperature and cabinet humidity at all times after the abnormal moment are eliminated to form a normal data set.

[0008] Preferably, the calculating of the first correlation, the second correlation, and the historical correlation includes: The first correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the local period; The second correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the adjacent time period; The historical correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the normal data set.

[0009] Preferably, the calculation of the relevant abnormality degree at the current moment includes: The difference between the water vapor content outside the cabinet and the water vapor content inside the cabinet at each moment in the local period is recorded as the relative content difference; Calculate the correlation coefficient between the humidity in the cabinet at all times in the local period and the relative content difference, and record it as the synergistic correlation degree; The difference between the first correlation and the historical correlation is calculated and recorded as the first correlation difference; and the ratio of the first correlation difference to the collaborative association is used as the correlation abnormality at the current moment.

[0010] Preferably, a further measurement method of the abnormality degree is: performing abnormality detection on the temperature and humidity inside the cabinet at all times within the local time period to obtain an abnormality score corresponding to the current time.

[0011] Preferably, the calculating the noise interference degree at the current moment includes: Analyze the difference between the second correlation and the historical correlation, and combine the first correlation difference to obtain the relative difference at the current moment; The product of the related abnormality and the abnormality score is calculated, and a normalized result of the ratio of the product to the relative difference is used as the noise interference degree at the current moment.

[0012] Preferably, obtaining the relative difference at the current moment includes: Calculating a difference between the second correlation and the historical correlation, and recording the difference as a second correlation difference; The difference between the first correlation difference and the second correlation difference is calculated, recorded as the correlation difference amount, and the result of an exponential function with a natural constant as the base and the opposite number of the correlation difference amount as the exponent is calculated as the relative difference degree at the current moment.

[0013] Preferably, the current moment The filter window size The calculation formula is: ,in, For the current moment The noise interference degree, To preset the first value, To preset the second value, To obtain an approximate value function, wherein the preset first value is smaller than the preset second value.

[0014] Preferably, the controlling of the heater in the ring main unit includes: Based on the filtered cabinet temperature and cabinet humidity at the current moment, calculate the dew point temperature at the current moment; The surface temperature of each power equipment in the primary and secondary integrated ring network cabinet at the current moment is obtained. If the minimum surface temperature is lower than the dew point temperature, the heater in the primary and secondary integrated ring network cabinet is started. Otherwise, the heater in the primary and secondary integrated ring network cabinet is not started.

[0015] In a second aspect, an embodiment of the present application further provides a primary-secondary integrated ring main unit with integrated temperature control function, wherein the temperature control method of the primary-secondary integrated ring main unit is implemented by the temperature control method of the primary-secondary integrated ring main unit with integrated temperature control function as described in any one of the above items.

[0016] This application has at least the following beneficial effects: The present application selects the cabinet temperature and cabinet humidity at several moments when the water vapor content inside the cabinet is consistent with the water vapor content outside the cabinet to form a normal data set. The beneficial effect of this application is that under normal circumstances, the collected data does not have noise interference, and the correlation between the cabinet temperature and the cabinet humidity in the ring network cabinet is determined so that subsequent comparative analysis can be performed. Secondly, by comparing the difference in the correlation between the cabinet temperature and the cabinet humidity in the local time period and the normal data set, as well as the change in the cabinet humidity caused by the difference in the water vapor content inside and outside the cabinet, the correlation abnormality at the current moment is calculated. The beneficial effect of this application is that it takes into account the change in the cabinet humidity caused by the difference in the water vapor content inside and outside the cabinet, and the influence of the correlation between the cabinet temperature and humidity data of the ring network cabinet, and then judges that when the correlation between the temperature and humidity in the local time period is abnormal, it is caused by the difference in the water vapor content inside and outside the cabinet. Is it caused by noise interference? By comparing the difference in the correlation between the temperature and humidity in the cabinet in the adjacent time period and the normal data set, as well as the abnormal data at the current moment, the noise interference degree at the current moment is calculated. The beneficial effect is that the difference in the correlation between the temperature and humidity and the normal data set before and after the data at the current moment is eliminated is taken into account, so as to reflect the degree to which the data at the current moment is interfered by noise. Determine the filter window size of the filtering algorithm, and filter the cabinet temperature and humidity in the local time period in combination with the filtering algorithm. The heater in the ring network cabinet is controlled by the filtered cabinet temperature and humidity at the current moment. The beneficial effect is that the noise interference of the cabinet temperature and humidity at the current moment is reduced, the accuracy of the dew point temperature calculation is improved, and the heater in the ring network cabinet is controlled more accurately, effectively preventing the occurrence of condensation in the ring network cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function of the present application is further described in detail below with reference to the accompanying drawings.

[0018] Figure 1 A flow chart of the steps of a temperature control method for a primary and secondary fusion ring main unit with integrated temperature control function provided in an embodiment of the present application; Figure 2 A flowchart of the steps of a method for obtaining the noise interference degree at the current moment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of this application more clear, the primary and secondary integrated ring network cabinet and temperature control method with integrated temperature control function proposed in this application are further described in detail below in combination with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0020] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0021] See also Figure 1 , which shows a flow chart of the steps of a temperature control method for a primary and secondary fusion ring main unit with integrated temperature control function provided by an embodiment of the present application, the method comprising the following steps: Step 1: collect the temperature, humidity, and water vapor content of the air inside the ring network cabinet at each time, and the water vapor content outside the cabinet at each time in the external air in real time.

[0022] When the power equipment in the primary and secondary integrated ring network cabinet is working, the temperature of the power equipment itself will rise, and the heat energy generated will be dissipated into the surrounding air by heat conduction and heat radiation, forming a humid and hot environment together with the high humidity air in the air. Through convection, under certain conditions, it will come into contact with the insulating cold surface in the ring network cabinet, resulting in condensation, which will cause problems such as corrosion of metal equipment and aging of insulating equipment, affecting its mechanical and electrical properties, and even leading to surface discharge on the surface of insulating parts and failure of power equipment, thereby causing leakage or electric shock accidents, increasing the safety risks of electricity use.

[0023] Condensation refers to the phenomenon that when the water vapor in the air exceeds its maximum containing capacity, the water vapor in the supersaturated air will slowly condense and precipitate, turning into saturated air, thus causing condensation. That is, condensation is the phenomenon that high-temperature and high-humidity gas liquefies on the surface of a low-temperature object when it reaches the dew point temperature. When the surface temperature of the inner wall of the primary and secondary fusion ring network cabinet drops below the dew point temperature, water droplets on the inner wall surface will condense. Therefore, the dew point temperature has a greater impact on the judgment of the occurrence of condensation, but the dew point temperature is calculated based on the temperature and humidity inside the primary and secondary fusion ring network cabinet. Therefore, the temperature and humidity inside the primary and secondary fusion ring network cabinet affect the accuracy of the dew point temperature. It is necessary to eliminate the noise interference when collecting the temperature and humidity inside the primary and secondary fusion ring network cabinet.

[0024] The temperature and relative humidity inside the primary and secondary fusion ring network cabinet are collected in real time through the temperature and humidity sensor and recorded as the cabinet temperature and cabinet humidity; An atmospheric water vapor content measuring instrument is used to collect the water vapor content inside the primary and secondary fused ring network cabinet and the water vapor content in the external environment of the ring network cabinet in real time, which are recorded as the water vapor content inside the cabinet and the water vapor content outside the cabinet, and all the collected data are normalized.

[0025] In this embodiment, the collection time interval is 1s. As other implementation methods, the implementer can set it according to the actual situation. Secondly, the maximum and minimum normalization method is used for normalization. Among them, the maximum and minimum normalization method is a well-known technology and will not be repeated here. As other implementation methods, the implementer can adopt other methods of the prior art, such as Z-score normalization method, etc. This embodiment does not impose any special restrictions on this.

[0026] At this point, the temperature inside the cabinet, the humidity inside the cabinet, the water vapor content inside the cabinet and the water vapor content outside the cabinet of the primary and secondary fusion ring network cabinet at each time are obtained.

[0027] Step 2, respectively calculate the first correlation, the second correlation, and the historical correlation through the correlation between the temperature and humidity inside the cabinet at all times in the local time period, the adjacent time period, and the normal data set; based on the difference between the first correlation and the historical correlation, as well as the difference in the water vapor content inside and outside the cabinet in the local time period and the correlation with the humidity inside the cabinet, calculate the correlation abnormality at the current moment.

[0028] Generally, the rise in temperature will cause the relative humidity to drop. Therefore, there is a negative correlation between the temperature and humidity inside the primary and secondary integrated ring network cabinet. However, the collected cabinet temperature and cabinet humidity will be disturbed by noise, which will destroy this negative correlation. Secondly, due to the influence of weather factors, the relative humidity inside and outside the primary and secondary integrated ring network cabinet will be inconsistent, and the water vapor content in the air will usually move from the high humidity area to the low humidity area. For example, when the water vapor content outside the cabinet of the primary and secondary integrated ring network cabinet is high, the water vapor in the external environment of the ring network cabinet will flow into the ring network cabinet through the gap of the cabinet shell, causing the relative humidity inside the ring network cabinet to increase with the change of water vapor content. This change in the humidity inside the ring network cabinet caused by the difference in water vapor content inside and outside the ring network cabinet will also destroy the negative correlation between the temperature inside the cabinet and the humidity inside the cabinet. And there is a strong positive correlation between the change in humidity inside the cabinet and the difference in water vapor content inside and outside.

[0029] Based on the above analysis, the correlation between the temperature inside the cabinet and the humidity inside the cabinet, as well as the correlation between the difference in water vapor content inside and outside the cabinet and the humidity inside the cabinet are analyzed, specifically: Select a historical period in which the difference between the water vapor content inside the primary and secondary integrated ring network cabinet and the water vapor content outside the cabinet is less than a preset threshold, and obtain the cabinet temperature and cabinet humidity at all times in the historical period; Perform abnormal detection on the cabinet temperature and cabinet humidity at all times in the historical period, and remove the time corresponding to the abnormal data, and then form a normal data set with the cabinet temperature and cabinet humidity at all times; In this embodiment, a historical period in which the absolute value of the difference between the water vapor content inside the cabinet and the water vapor content outside the cabinet of the primary and secondary fused ring network cabinet is less than a preset threshold is selected, wherein the time length of the historical period is 10 minutes, and the preset threshold value is 0.1. As other implementation methods, the implementer can set it according to the actual situation; secondly, the Raida criterion is used to perform abnormal detection on the temperature and humidity inside the cabinet at all times in the historical period, wherein the Raida criterion is a well-known technology and will not be repeated here.

[0030] Calculate the correlation coefficient between the temperature and humidity inside the cabinet at all times in the normal data set, and record it as the historical correlation; In this embodiment, the correlation coefficient is measured by calculating the Pearson correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times after the eliminated time in the historical period, wherein the Pearson correlation coefficient is a well-known technology and will not be repeated here. As other implementation methods, the implementer may adopt other methods of the prior art, such as the Spearman correlation coefficient, etc. This embodiment does not impose any special restrictions on this.

[0031] Record multiple moments before the current moment as adjacent time periods; Record all the moments in the adjacent time period and the current moment as the local time period corresponding to the current moment; In this embodiment, all moments within 3 minutes before the current moment are recorded as adjacent time periods. As other implementation methods, implementers can set them according to actual conditions.

[0032] Calculate the correlation coefficient between the temperature in the cabinet and the humidity in the cabinet at all times in the local period, and record it as the first correlation; In this embodiment, the correlation coefficient is measured by calculating the Pearson correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the local time period. As other implementation methods, the implementer may adopt other methods of the prior art, such as the Spearman correlation coefficient, etc. This embodiment does not impose any special restrictions on this.

[0033] It should be noted that, since there is a negative correlation between temperature and humidity, the greater the absolute value of the historical correlation and the absolute value of the first correlation are, the higher the correlation between temperature and humidity is.

[0034] The difference between the water vapor content outside the cabinet and the water vapor content inside the cabinet at each moment in the local period is recorded as the relative content difference; Calculate the correlation coefficient between the humidity in the cabinet at all times in the local period and the relative content difference, and record it as the synergistic correlation degree; In this embodiment, the correlation coefficient is measured by calculating the Pearson correlation coefficient between the humidity in the cabinet at all times in the local time period and the relative content difference. As other implementation methods, the implementer may adopt other methods of the prior art, such as the Spearman correlation coefficient, etc. This embodiment does not impose any special restrictions on this.

[0035] It should be noted that since the difference in water vapor content inside and outside will affect the change in humidity inside the cabinet, the difference in water vapor content inside and outside is positively correlated with the humidity inside the cabinet. Therefore, the greater the synergistic correlation, the more likely it is that the change in humidity inside the primary and secondary integrated ring network cabinet is caused by the difference in water vapor content between inside and outside the cabinet of the primary and secondary integrated ring network cabinet.

[0036] Further, based on the historical correlation, the first correlation and the collaborative association, a correlation abnormality is calculated, specifically: Calculating the difference between the first correlation and the historical correlation, and recording it as a first correlation difference; taking the ratio of the first correlation difference to the collaborative correlation as the correlation abnormality at the current moment; In this embodiment, the absolute value of the difference between the first correlation and the historical correlation is calculated and recorded as the relative difference.

[0037] It should be noted that the larger the first correlation difference is, the greater the difference between the correlation between the cabinet temperature and the cabinet humidity in the local time period and the normal data set, which further indicates that the possibility of abnormal correlation between the cabinet temperature and the cabinet humidity in the local time period is greater, and the smaller the synergistic correlation is, the smaller the positive correlation between the difference in water vapor content inside and outside the primary and secondary fusion ring network cabinet and the internal and external humidity is, which reflects that the correlation between temperature and humidity in the local time period is abnormal, and the less likely it is that the change in cabinet humidity is caused by the difference in water vapor content between the inside and outside of the ring network cabinet, and the more likely it is caused by noise interference. The larger the obtained correlation abnormality, the greater the possibility of noise interference in the data collected at this time.

[0038] At this point, the relevant abnormality degree at the current moment is obtained.

[0039] Step 3, comparing the differences between the first correlation and the second correlation with the historical correlation, as well as the abnormality of the temperature and humidity in the cabinet at the current moment, and calculating the noise interference degree at the current moment in combination with the related abnormality.

[0040] Furthermore, by comparing the difference between the temperature and humidity in the cabinet at the current moment before and after the cabinet temperature and humidity are eliminated and the relevant conditions under normal conditions, the degree of noise interference to the temperature and humidity inside the next secondary fusion ring network cabinet at the current moment is evaluated. Therefore, the noise interference degree is calculated, wherein the step flow chart of the method for obtaining the noise interference degree at the current moment provided in the embodiment of the present application is as follows: Figure 2 As shown, specifically including: Calculate the correlation coefficient between the temperature in the cabinet and the humidity in the cabinet at all times in the adjacent time period, and record it as the second correlation; In this embodiment, the correlation coefficient is measured by calculating the Pearson correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the adjacent time period. As other implementation methods, the implementer may adopt other methods of the prior art, such as the Spearman correlation coefficient, etc. This embodiment does not impose any special restrictions on this.

[0041] It should be noted that the second correlation degree represents the correlation between the cabinet temperature and the cabinet humidity in the adjacent time period after excluding the cabinet temperature and the cabinet humidity at the current moment. The larger the absolute value of the second correlation degree, the higher the correlation between the cabinet temperature and the cabinet humidity in the adjacent time period.

[0042] Perform anomaly detection on the temperature and humidity inside the cabinet at all times within the local period to obtain an anomaly score corresponding to the current time; In this embodiment, a local outlier factor (LOF) algorithm is used to perform anomaly detection, wherein the LOF algorithm is a well-known technology and will not be described in detail herein.

[0043] Calculating a difference between the second correlation and the historical correlation, and recording the difference as a second correlation difference; In this embodiment, the absolute value of the difference between the second correlation and the historical correlation is calculated and recorded as the second correlation difference.

[0044] Calculate the difference between the first correlation difference and the second correlation difference, record it as the correlation difference amount, calculate the result of an exponential function with a natural constant as the base and the opposite number of the correlation difference amount as the exponent, and use it as the relative difference degree at the current moment; In this embodiment, the absolute value of the difference between the first correlation difference and the second correlation difference is calculated and recorded as the correlation difference amount.

[0045] Calculate the product of the related abnormality and the abnormality score, and use the normalized result of the ratio of the product to the relative difference as the noise interference degree at the current moment; In this embodiment, the sigmoid function is used for normalization processing, wherein the sigmoid function is a well-known technology and will not be described in detail here. As other implementation methods, the implementer may adopt other methods of the prior art, such as the tanh function, etc. This embodiment does not impose any special restrictions on this.

[0046] In this embodiment, the noise interference degree at the current moment is calculated as follows: ) in, For the current moment The noise interference degree, For the current moment The corresponding anomaly score, For the current moment The related abnormality of is the first relevant difference, For the second relevant difference, is an exponential function with a natural constant as base, is the normalization function, where is the relevant difference, is the relative difference.

[0047] It should be noted that, the larger the anomaly score is, the greater the possibility that the data collected at this time is abnormal; the larger the correlation difference is, the greater the difference in correlation between the cabinet temperature and the cabinet humidity at the current moment before and after they are eliminated and the cabinet temperature and the cabinet humidity in the normal data set is, which further indicates that the data collected at the current moment is subject to greater noise interference. Therefore, by calculating the exponential function, the influence of this difference is increased, so that the correlation change between the cabinet temperature and the cabinet humidity before and after the data at the current moment is eliminated is more significant; the larger the correlation abnormality is, the greater the possibility that the data is subject to noise interference, and the greater the resulting noise interference is.

[0048] At this point, the noise interference degree at the current moment is obtained.

[0049] Step 4: Based on the noise interference degree, determine the filter window size at the current moment, and filter the cabinet temperature and cabinet humidity in the local time period in combination with the filtering algorithm. Control the heater in the ring network cabinet through the filtered cabinet temperature and cabinet humidity at the current moment.

[0050] Furthermore, if the cabinet temperature and humidity data collected at the current moment are more affected by noise interference, a larger filter window should be used when filtering the cabinet temperature and cabinet humidity to increase the smoothness of the data and better suppress the noise. Conversely, a smaller filter window should be used to accurately retain the detailed features of the data. Therefore, based on the noise interference, the filter window size of the filtering algorithm is determined, specifically: in, For the current moment The filter window size is For the current moment The noise interference degree, To preset the first value, To preset the second value, To obtain an approximate value function, in this embodiment, the approximate value function refers to rounding, wherein the preset first value is smaller than the preset second value.

[0051] In this embodiment, the filter window size is set at , in order to ensure that the final filter window size is Therefore, the first value is preset The value is 3, the second value is preset The value is 6. As other implementation methods, the implementer can set it according to actual conditions.

[0052] Based on the filter window size, a filter algorithm is used to filter the cabinet temperature and cabinet humidity at all times in the local period to obtain the filtered cabinet temperature and cabinet humidity at the current moment; In this embodiment, a mean filtering algorithm is used for filtering processing, wherein the mean filtering algorithm is a well-known technology and will not be described in detail here. As other implementation methods, the implementer may adopt other methods of the prior art, such as the median filtering algorithm, etc. This embodiment does not impose any special restrictions on this.

[0053] Based on the filtered cabinet temperature and cabinet humidity at the current moment, calculate the dew point temperature at the current moment; It should be noted that the calculation of dew point temperature is a well-known technique and will not be described in detail here.

[0054] A temperature sensor is used to obtain the surface temperature of each power equipment in the primary and secondary fusion ring network cabinet at the current moment. If the minimum surface temperature is lower than the dew point temperature, the heater in the primary and secondary fusion ring network cabinet is started. Otherwise, the heater in the primary and secondary fusion ring network cabinet is not started. The heater in the primary and secondary fusion ring network cabinet is controlled to avoid condensation.

[0055] Based on the same inventive concept as the above method, an embodiment of the present application also provides a primary-secondary integrated ring main unit with integrated temperature control function, and the temperature control method of the primary-secondary integrated ring main unit is implemented by the temperature control method of the primary-secondary integrated ring main unit with integrated temperature control function as described in any one of the above items.

[0056] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0057] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0058] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the present application. It should be pointed out that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application without departing from the content of the technical solution of the present application, shall fall within the protection scope of the technical solution of the present application.

Claims

1. A temperature control method for a primary and secondary integrated ring main unit with integrated temperature control function, characterized in that: The method comprises the following steps: Real-time collection of the cabinet temperature, cabinet humidity, cabinet water vapor content in the air inside the ring network cabinet at each time, and the cabinet water vapor content outside the cabinet at each time in the external air; Select the temperature and humidity inside the cabinet at several moments when the water vapor content inside the cabinet is consistent with the water vapor content outside the cabinet from the historical period, and after processing the abnormalities, form a normal data set; Record multiple moments before the current moment as adjacent time periods, and record all moments within the adjacent time period and the current moment as the local time period corresponding to the current moment; Calculate the first correlation, the second correlation, and the historical correlation respectively through the correlation between the temperature in the cabinet and the humidity in the cabinet at all times in the local time period, the adjacent time period, and the normal data set; Based on the difference between the first correlation and the historical correlation, and the correlation between the difference in water vapor content inside and outside the cabinet and the humidity inside the cabinet during the local period, calculate the correlation abnormality at the current moment; Compare the differences between the first correlation degree and the second correlation degree and the historical correlation degree, and the abnormality of the temperature and humidity in the cabinet at the current moment, and calculate the noise interference degree at the current moment in combination with the correlation abnormality degree; Based on the noise interference degree, the filter window size at the current moment is determined, and the cabinet temperature and cabinet humidity in a local period are filtered in combination with the filtering algorithm. The heater in the ring network cabinet is controlled by the cabinet temperature and cabinet humidity after filtering at the current moment.

2. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 1, characterized in that: Further acquisition method of the normal data set: Select a historical period in which the difference between the water vapor content inside the primary and secondary integrated ring network cabinet and the water vapor content outside the cabinet is less than a preset threshold, and obtain the cabinet temperature and cabinet humidity at all times in the historical period; Anomaly detection is performed on the cabinet temperature and cabinet humidity at all times in the historical period, and the cabinet temperature and cabinet humidity at all times after the abnormal moment are eliminated to form a normal data set.

3. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 1, characterized in that: The calculating of the first relevance, the second relevance, and the historical relevance includes: The first correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the local period; The second correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the adjacent time period; The historical correlation is the correlation coefficient between the temperature inside the cabinet and the humidity inside the cabinet at all times in the normal data set.

4. The temperature control method of the primary and secondary fusion ring main unit with integrated temperature control function as claimed in claim 1, characterized in that: The calculating of the relevant abnormality degree at the current moment includes: The difference between the water vapor content outside the cabinet and the water vapor content inside the cabinet at each moment in the local period is recorded as the relative content difference; Calculate the correlation coefficient between the humidity in the cabinet at all times in the local period and the relative content difference, and record it as the synergistic correlation degree; The difference between the first correlation and the historical correlation is calculated and recorded as the first correlation difference; and the ratio of the first correlation difference to the collaborative association is used as the correlation abnormality at the current moment.

5. The temperature control method of the primary and secondary fusion ring main unit with integrated temperature control function as claimed in claim 4, characterized in that: A further measurement method of the abnormality degree is: performing abnormality detection on the temperature and humidity inside the cabinet at all times within the local time period to obtain an abnormality score corresponding to the current time.

6. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 5, characterized in that: The calculating of the noise interference degree at the current moment includes: Analyze the difference between the second correlation and the historical correlation, and combine the first correlation difference to obtain the relative difference at the current moment; The product of the related abnormality and the abnormality score is calculated, and a normalized result of the ratio of the product to the relative difference is used as the noise interference degree at the current moment.

7. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 6, characterized in that: The obtaining of the relative difference at the current moment includes: Calculating a difference between the second correlation and the historical correlation, and recording the difference as a second correlation difference; The difference between the first correlation difference and the second correlation difference is calculated, recorded as the correlation difference amount, and the result of an exponential function with a natural constant as the base and the opposite number of the correlation difference amount as the exponent is calculated as the relative difference degree at the current moment.

8. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 1, characterized in that: Current moment The filter window size The calculation formula is: ,in, For the current moment The noise interference degree, To preset the first value, To preset the second value, To obtain an approximate value function, wherein the preset first value is smaller than the preset second value.

9. The temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in claim 1, characterized in that: The controlling of the heater in the ring main unit comprises: Based on the filtered cabinet temperature and cabinet humidity at the current moment, calculate the dew point temperature at the current moment; The surface temperature of each power equipment in the primary and secondary integrated ring network cabinet at the current moment is obtained. If the minimum surface temperature is lower than the dew point temperature, the heater in the primary and secondary integrated ring network cabinet is started. Otherwise, the heater in the primary and secondary integrated ring network cabinet is not started.

10. The primary and secondary integrated ring main unit with integrated temperature control function is characterized by: The temperature control process of the primary and secondary integrated ring main unit is implemented by the temperature control method of the primary and secondary integrated ring main unit with integrated temperature control function as claimed in any one of claims 1 to 9.

Images