Anti-condensation system of energy storage cabinet

Abstract

The invention discloses an anti-condensation system for an energy storage cabinet, and relates to the technical field of energy storage cabinets, the interior of the energy storage cabinet is divided into a plurality of different sub-regions, and corresponding data acquisition terminals for acquiring temperature data and humidity data in real time are respectively arranged in the different sub-regions in the energy storage cabinet; according to the collected temperature data and humidity data of different sub-areas in the energy storage cabinet and the environment temperature data and environment humidity data of the position where the energy storage cabinet is located, whether condensation risks occur in all the sub-areas or not is judged, and if the condensation risks occur, different early warning instructions are generated according to different analysis results; and corresponding condensation prevention strategies are generated according to different early warning instructions, so that partitioned monitoring of the interior of the energy storage cabinet is realized, and the corresponding condensation prevention strategies can be given according to different conditions when condensation risks occur in the energy storage cabinet.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage cabinets, and specifically to an anti-condensation system for energy storage cabinets. Background Art

[0002] During the operation of an energy storage cabinet, due to the influence of the surrounding environment and the operation process, condensation may occur. When condensation appears inside the energy storage cabinet, the accumulated condensate water may affect various components inside the cabinet. Since the internal space of the energy storage cabinet is large and the distribution of components is uneven, how to better monitor the condensation situation inside the energy storage cabinet and give corresponding anti-condensation strategies when there is a condensation risk is the problem we need to solve. Therefore, an anti-condensation system for energy storage cabinets is provided herein. Summary of the Invention

[0003] The purpose of the present invention is to provide an anti-condensation system for energy storage cabinets.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An anti-condensation system for energy storage cabinets includes a monitoring center, which is electrically connected to a data acquisition module, a data processing module, a data analysis module, and a condensation warning module;

[0005] The data acquisition module is used to obtain the temperature data and humidity data of each area inside the energy storage cabinet, and to obtain the environmental temperature data and environmental humidity data of the location where the energy storage cabinet is located;

[0006] The data processing module is used to construct a regional status map of the energy storage cabinet according to the temperature data and humidity data of each area inside the energy storage cabinet obtained;

[0007] The data analysis module is used to analyze whether condensation will occur in each area inside the energy storage cabinet according to the regional status map of the energy storage cabinet, the environmental temperature data, and the environmental humidity data, and generate corresponding condensation warning instructions;

[0008] The condensation warning module is used to generate an anti-condensation strategy for the corresponding area inside the energy storage cabinet according to the generated condensation warning instructions.

[0009] Furthermore, the process of the data acquisition module obtaining the temperature data and humidity data of each area inside the energy storage cabinet includes:

[0010] The data acquisition module is composed of several data acquisition terminals;

[0011] The inside of the energy storage cabinet is divided into several sub-areas, and corresponding data acquisition terminals are set in each sub-area;

[0012] By setting the data acquisition terminals in each area inside the energy storage cabinet, the corresponding temperature data and humidity data are obtained.

[0013] Further, the process of the data acquisition module obtaining the ambient temperature data and ambient humidity data at the location where the energy storage cabinet is located includes:

[0014] Set a number of data acquisition terminals outside the location where the energy storage cabinet is located, summarize the ambient temperature data and ambient humidity data obtained by each data acquisition terminal, and use the average values of the ambient temperature data and ambient humidity data obtained by each data acquisition terminal as the ambient temperature and ambient humidity.

[0015] Further, the process of the data processing module constructing a regional state diagram of the energy storage cabinet according to the temperature data and humidity data of each area inside the energy storage cabinet includes:

[0016] Construct a two-dimensional coordinate system with time regarding temperature and humidity;

[0017] Associate each sub-region of the energy storage cabinet with a two-dimensional coordinate system;

[0018] Generate corresponding temperature change curves and humidity change curves according to the temperature data and humidity data obtained by the data acquisition terminals of the corresponding sub-regions, and set the generated temperature change curves and humidity change curves in the two-dimensional coordinate system;

[0019] Set corresponding temperature thresholds and humidity thresholds in the two-dimensional coordinate system, denote the temperature threshold as W1, denote the humidity threshold as S1, and divide the corresponding temperature intervals and humidity intervals in the two-dimensional coordinate system according to the set temperature thresholds and humidity thresholds;

[0020] Set a time window, which is composed of a first time axis and a second time axis, the moment corresponding to the first time axis is t1, the moment corresponding to the second time axis is t2, and the moment corresponding to the second time axis is the current moment, t1 < t2;

[0021] Set a number of temperature sampling points and humidity sampling points within the time window, where each temperature sampling point is associated with a humidity sampling point, and the associated temperature sampling point and humidity sampling point correspond to the same moment;

[0022] Denote the temperature data corresponding to the temperature sampling point as the sampled temperature, and denote the humidity data corresponding to the humidity sampling point as the sampled humidity;

[0023] Respectively obtain the distribution of the temperature sampling points and humidity sampling points in the two-dimensional coordinate system. When the temperature sampling points and humidity sampling points are distributed within the corresponding temperature intervals and humidity intervals, then mark the corresponding sampling points as abnormal sampling points. On the contrary, if the temperature sampling points and humidity sampling points are distributed outside the corresponding temperature intervals and humidity intervals, then mark the corresponding sampling points as normal sampling points;

[0024] If all the sampling points within the time window are normal sampling points, no operation is performed. If there is at least one abnormal sampling point among all the sampling points within the time window, the time window is highlighted, thus completing the state diagram of the energy storage cabinet area.

[0025] Further, the process by which the data analysis module analyzes whether condensation will occur in each area inside the energy storage cabinet according to the state diagram of the energy storage cabinet area, environmental temperature data, and environmental humidity data includes:

[0026] Obtain the abnormal points within the highlighted time window;

[0027] When the abnormal points are only temperature sampling points, obtain the first condensation risk coefficient of the corresponding sub - area, denoted as LwF;

[0028] When the abnormal points are only humidity sampling points, obtain the second condensation risk coefficient of the corresponding sub - area, denoted as LsF;

[0029] When the abnormal points are temperature sampling points and humidity sampling points, obtain the third condensation risk coefficient of the corresponding sub - area, denoted as LzF;

[0030] Set the risk coefficient threshold Ly, compare the obtained condensation risk coefficient with the risk coefficient threshold, and generate corresponding condensation warning instructions according to the comparison result;

[0031] If the obtained is the first - level condensation risk coefficient, then

[0032] When LwF≥Ly, it indicates that there is a condensation risk in the corresponding sub - area, and a first condensation warning instruction is generated. Otherwise, it indicates that there is no condensation risk in the corresponding sub - area;

[0033] If the obtained is the second - level condensation risk coefficient, then

[0034] When LsF≥Ly, it indicates that there is a condensation risk in the corresponding sub - area, and a second condensation warning instruction is generated. Otherwise, it indicates that there is no condensation risk in the corresponding sub - area;

[0035] If the obtained is the third - level condensation risk coefficient, then

[0036] When LzF≥Ly, it indicates that there is a condensation risk in the corresponding sub - area, and a third condensation warning instruction is generated. Otherwise, it indicates that there is no condensation risk in the corresponding sub - area.

[0037] Further, the process by which the condensation warning module generates an anti - condensation strategy for the corresponding area inside the energy storage cabinet according to the generated condensation warning instructions includes:

[0038] When the first condensation warning instruction is generated, it indicates that the temperature of the corresponding sub-region is too low, which may lead to a condensation risk in the corresponding sub-region. Then, a regional heating strategy is generated and the generated regional heating strategy is sent to the monitoring center;

[0039] When the second condensation warning instruction is generated, it indicates that the humidity of the corresponding sub-region is too low, which has caused condensation in the corresponding sub-region. Then, a regional dehumidification strategy is generated and the generated regional dehumidification strategy is sent to the monitoring center;

[0040] When the third condensation warning instruction is generated, it indicates that condensation has occurred in the corresponding sub-region, and the reason for the condensation is that the temperature of the corresponding sub-region is too low. Then, both a regional dehumidification strategy and a regional heating strategy are generated, and the generated regional dehumidification strategy and regional heating strategy are sent to the monitoring center.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] By dividing the interior of the energy storage cabinet into several different sub-regions, and respectively setting corresponding data acquisition terminals for real-time collecting temperature data and humidity data in different sub-regions of the energy storage cabinet, combining the temperature data and humidity data of different sub-regions inside the energy storage cabinet collected and the environmental temperature data and environmental humidity data of the location where the energy storage cabinet is located, it is judged whether there is a condensation risk in each sub-region. If there is a condensation risk, different warning instructions are generated according to different analysis results, and corresponding anti-condensation strategies are generated according to different warning instructions, so as to realize the zonal monitoring of the interior of the energy storage cabinet and be able to give corresponding anti-condensation strategies according to different situations when there is a condensation risk inside the energy storage cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0044] Figure 1 is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] As Figure 1 shown, an energy storage cabinet anti-condensation system includes a monitoring center, and the monitoring center is electrically connected to a data acquisition module, a data processing module, a data analysis module, and a condensation warning module;

[0046] The data acquisition module is used to obtain the temperature data and humidity data of each area inside the energy storage cabinet, and to obtain the ambient temperature data and ambient humidity data of the location where the energy storage cabinet is located;

[0047] The data processing module is used to construct a regional status map of the energy storage cabinet according to the temperature data and humidity data of each area inside the energy storage cabinet obtained;

[0048] The data analysis module is used to analyze whether condensation will occur in each area inside the energy storage cabinet according to the regional status map of the energy storage cabinet, the ambient temperature data and the ambient humidity data, and generate corresponding condensation warning instructions;

[0049] The condensation warning module is used to generate an anti-condensation strategy for the corresponding area inside the energy storage cabinet according to the generated condensation warning instructions;

[0050] The data acquisition module consists of several data acquisition terminals. By setting the data acquisition terminals in each area inside the energy storage cabinet, the corresponding temperature data and humidity data are obtained, and the ambient temperature data and ambient humidity data of the location where the energy storage cabinet is located are obtained. The specific process includes:

[0051] The inside of the energy storage cabinet is divided into several sub-areas, and corresponding data acquisition terminals are set in each sub-area;

[0052] Each data acquisition terminal is numbered, denoted as i, where i = 1, 2,..., n, n is an integer, and n > 0;

[0053] Then the temperature data of the corresponding sub-area obtained by the data acquisition terminal numbered i is denoted as Wd i , and the humidity data is denoted as Sd i ;

[0054] Several data acquisition terminals are set outside the location where the energy storage cabinet is located. The ambient temperature data and ambient humidity data obtained by each data acquisition terminal are summarized, and the average value of the ambient temperature data and ambient humidity data obtained by each data acquisition terminal is used as the ambient temperature and ambient humidity.

[0055] The process by which the data processing module constructs a regional status map of the energy storage cabinet according to the temperature data and humidity data of each area inside the energy storage cabinet obtained includes:

[0056] Construct a two-dimensional coordinate system of time with respect to temperature and humidity;

[0057] Each sub-area of the energy storage cabinet is respectively associated with a two-dimensional coordinate system;

[0058] Generate corresponding temperature change curves and humidity change curves respectively according to the temperature data and humidity data obtained by the data acquisition terminals corresponding to the sub-regions, and set the generated temperature change curves and humidity change curves in a two-dimensional coordinate system;

[0059] Set corresponding temperature thresholds and humidity thresholds in the two-dimensional coordinate system, denote the temperature threshold as W1, denote the humidity threshold as S1, and divide corresponding temperature intervals and humidity intervals in the two-dimensional coordinate system according to the set temperature thresholds and humidity thresholds;

[0060] Set a time window, which consists of a first time axis and a second time axis, the moment corresponding to the first time axis is t1, the moment corresponding to the second time axis is t2, and the moment corresponding to the second time axis is the current moment, t1 < t2;

[0061] Set a number of temperature sampling points and humidity sampling points within the time window, where each temperature sampling point is associated with a humidity sampling point, and the associated temperature sampling point and humidity sampling point correspond to the same moment;

[0062] Denote the temperature data corresponding to the temperature sampling point as the sampled temperature, and denote the humidity data corresponding to the humidity sampling point as the sampled humidity;

[0063] Number each sampling point, denoted as j, where j = 1, 2,..., m, m is an integer, and m > 0;

[0064] Then denote the sampled temperature and sampled humidity corresponding to the corresponding sampling point as Cw j and Cs j ;

[0065] Respectively obtain the distribution of the temperature sampling points and humidity sampling points in the two-dimensional coordinate system. When the temperature sampling points and humidity sampling points are distributed within the corresponding temperature intervals and humidity intervals, mark the corresponding sampling points as abnormal sampling points. Conversely, if the temperature sampling points and humidity sampling points are distributed outside the corresponding temperature intervals and humidity intervals, mark the corresponding sampling points as normal sampling points;

[0066] If all the sampling points within the time window are normal sampling points, do nothing. If at least one abnormal sampling point exists among all the sampling points within the time window, highlight the time window, thereby completing the state diagram of the energy storage cabinet area.

[0067] The process by which the data analysis module analyzes whether condensation will occur in each area inside the energy storage cabinet according to the state diagram of the energy storage cabinet area, environmental temperature data, and environmental humidity data includes:

[0068] Obtain the abnormal points within the time window with a highlight mark;

[0069] When the abnormal point is only the temperature sampling point, the first condensation risk coefficient of the corresponding sub-region is obtained, denoted as LwF;

[0070] Among them,

[0071] When the abnormal point is only the humidity sampling point, the second condensation risk coefficient of the corresponding sub-region is obtained, denoted as LsF;

[0072] Among them,

[0073] When the abnormal point is the temperature sampling point and the humidity sampling point, the third condensation risk coefficient of the corresponding sub-region is obtained, denoted as LzF;

[0074] Among them, LzF = LsF + LwF;

[0075] Set the risk coefficient threshold Ly, compare the obtained condensation risk coefficient with the risk coefficient threshold, and generate the corresponding condensation warning instruction according to the comparison result;

[0076] If the obtained is the first-level condensation risk coefficient, then

[0077] When LwF ≥ Ly, it means that there is a condensation risk in the corresponding sub-region, then generate the first condensation warning instruction, otherwise, it means that there is no condensation risk in the corresponding sub-region;

[0078] If the obtained is the second-level condensation risk coefficient, then

[0079] When LsF ≥ Ly, it means that there is a condensation risk in the corresponding sub-region, then generate the second condensation warning instruction, otherwise, it means that there is no condensation risk in the corresponding sub-region;

[0080] If the obtained is the third-level condensation risk coefficient, then

[0081] When LzF ≥ Ly, it means that there is a condensation risk in the corresponding sub-region, then generate the third condensation warning instruction, otherwise, it means that there is no condensation risk in the corresponding sub-region.

[0082] The process of the condensation warning module generating an anti-condensation strategy for the corresponding area in the energy storage cabinet according to the generated condensation warning instruction includes:

[0083] When the first condensation warning instruction is generated, it means that the temperature of the corresponding sub-region is too low, which may cause a condensation risk in the corresponding sub-region, then generate a regional heating strategy and send the generated regional heating strategy to the monitoring center;

[0084] When the second condensation warning instruction is generated, it indicates that the humidity in the corresponding sub-region is too low, resulting in condensation in the corresponding sub-region. Then, a regional dehumidification strategy is generated and the generated regional dehumidification strategy is sent to the monitoring center.

[0085] When the third condensation warning instruction is generated, it indicates that condensation has occurred in the corresponding sub-region, and the reason for the condensation is that the temperature in the corresponding sub-region is too low. Then, a regional dehumidification strategy and a regional heating strategy are generated simultaneously, and the generated regional dehumidification strategy and regional heating strategy are sent to the monitoring center.

[0086] The above are only the preferred embodiments of the present invention, and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments by using the technical content disclosed above without departing from the technical solution of the present invention. However, any modification or equivalent replacement made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. An energy storage cabinet anti-condensation system, comprising a monitoring center, characterized in that: The monitoring center is electrically connected to a data acquisition module, a data processing module, a data analysis module and a condensation warning module; The data acquisition module is used to obtain temperature data and humidity data of each area inside the energy storage cabinet, and is used to obtain ambient temperature data and ambient humidity data of the location where the energy storage cabinet is located; The data processing module is used to construct an energy storage cabinet regional state diagram according to the acquired temperature data and humidity data of each area inside the energy storage cabinet; The data analysis module is used to analyze whether condensation will occur in each area inside the energy storage cabinet according to the energy storage cabinet area status diagram and the ambient temperature data and ambient humidity data, and generate corresponding condensation warning instructions; The condensation warning module is used to generate an anti-condensation strategy for a corresponding area in the energy storage cabinet according to the generated condensation warning instruction.

2. The anti-condensation system for energy storage cabinet according to claim 1, characterized in that: The process of the data acquisition module acquiring the temperature data and humidity data of each area inside the energy storage cabinet includes: The data acquisition module is composed of several data acquisition terminals; Divide the interior of the energy storage cabinet into several sub-areas, and set a corresponding data acquisition terminal in each sub-area; By setting the data acquisition terminal in each area inside the energy storage cabinet, the corresponding temperature data and humidity data are obtained.

3. The anti-condensation system for energy storage cabinet according to claim 2, characterized in that: The process of the data acquisition module acquiring the ambient temperature data and ambient humidity data of the location of the energy storage cabinet includes: Several data acquisition terminals are set outside the location of the energy storage cabinet, the ambient temperature data and ambient humidity data obtained by each data acquisition terminal are summarized, and the average value of the ambient temperature data and ambient humidity data obtained by each data acquisition terminal is used as the ambient temperature and ambient humidity.

4. The anti-condensation system for energy storage cabinet according to claim 3, characterized in that: The process of the data processing module constructing the energy storage cabinet regional state diagram according to the acquired temperature data and humidity data of each area inside the energy storage cabinet includes: Construct a two-dimensional coordinate system of time with respect to temperature and humidity; Associating each sub-area of ​​the energy storage cabinet with a two-dimensional coordinate system; Generate corresponding temperature change curves and humidity change curves according to the temperature data and humidity data obtained by the data acquisition terminal of the corresponding sub-area, and set the generated temperature change curves and humidity change curves in a two-dimensional coordinate system; A corresponding temperature threshold and humidity threshold are set in the two-dimensional coordinate system, the temperature threshold is recorded as W1, and the humidity threshold is recorded as S1, and the corresponding temperature interval and humidity interval are divided in the two-dimensional coordinate system according to the set temperature threshold and humidity threshold; A time window is set, wherein the time window is composed of a first time axis and a second time axis, and the time corresponding to the first time axis is t1, the time corresponding to the second time axis is t2, and the time corresponding to the second time axis is the current time, and t1<t2; A plurality of temperature sampling points and humidity sampling points are set within the time window, wherein each temperature sampling point is associated with a humidity sampling point, and the associated temperature sampling points and humidity sampling points correspond to the same time; The temperature data corresponding to the temperature sampling point is recorded as the sampling temperature, and the humidity data corresponding to the humidity sampling point is recorded as the sampling humidity; The distribution of the temperature sampling points and the humidity sampling points in the two-dimensional coordinate system is obtained respectively. When the temperature sampling points and the humidity sampling points are distributed in the corresponding temperature interval and humidity interval, the corresponding sampling points are marked as abnormal sampling points. On the contrary, if the temperature sampling points and the humidity sampling points are distributed outside the corresponding temperature interval and humidity interval, the corresponding sampling points are recorded as normal sampling points. If all sampling points in the time window are normal sampling points, no operation is performed. If there is at least one abnormal sampling point among all sampling points in the time window, the time window is highlighted to complete the energy storage cabinet area status diagram.

5. The anti-condensation system for energy storage cabinet according to claim 4, characterized in that: The process of the data analysis module analyzing whether condensation will occur in each area inside the energy storage cabinet according to the energy storage cabinet area state diagram and the ambient temperature data and the ambient humidity data includes: Get the abnormal points in the highlighted time window; When the abnormal point is only the temperature sampling point, the first condensation risk factor of the corresponding sub-region is obtained, which is recorded as LwF; When the abnormal point is only the humidity sampling point, the second condensation risk factor of the corresponding sub-area is obtained, which is recorded as LsF; When the abnormal point is a temperature sampling point or a humidity sampling point, the third condensation risk factor of the corresponding sub-area is obtained, which is recorded as LzF; Set a risk factor threshold Ly, compare the obtained condensation risk factor with the risk factor threshold, and generate a corresponding condensation warning instruction according to the comparison result; If the first-level condensation risk factor is obtained, then When LwF≥Ly, it indicates that there is a condensation risk in the corresponding sub-area, and a first condensation warning instruction is generated; otherwise, it indicates that there is no condensation risk in the corresponding sub-area; If the risk factor for secondary condensation is obtained, then When LsF≥Ly, it indicates that there is a condensation risk in the corresponding sub-area, and a second condensation warning instruction is generated; otherwise, it indicates that there is no condensation risk in the corresponding sub-area; If the third-level condensation risk factor is obtained, then When LzF≥Ly, it indicates that there is a condensation risk in the corresponding sub-area, and a third condensation warning instruction is generated; otherwise, it indicates that there is no condensation risk in the corresponding sub-area.

6. The anti-condensation system for energy storage cabinet according to claim 5, characterized in that: The process of the condensation warning module generating an anti-condensation strategy for a corresponding area in the energy storage cabinet according to the generated condensation warning instruction includes: When the first condensation warning instruction is generated, it means that the temperature of the corresponding sub-area is too low, which may cause condensation risk in the corresponding sub-area, and then a regional heating strategy is generated and sent to the monitoring center; When the second condensation warning instruction is generated, it means that the humidity of the corresponding sub-area is too low, so that condensation has occurred in the corresponding sub-area, and a regional dehumidification strategy is generated, and the generated regional dehumidification strategy is sent to the monitoring center; When the third condensation warning instruction is generated, it means that condensation has occurred in the corresponding sub-area, and the reason for the condensation is that the temperature of the corresponding sub-area is too low. Then, a regional dehumidification strategy and a regional heating strategy are generated at the same time, and the generated regional dehumidification strategy and regional heating strategy are sent to the monitoring center.

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