A method and system for controlling exhaust fans for temperature control between cabinets at Mingqian Station

Abstract

The present invention discloses a method and system for controlling an exhaust fan for temperature control between cabinets of a Mingqian station, which belongs to the field of intelligent equipment and remote monitoring technology. The method comprises obtaining the temperature value between cabinets of the Mingqian station, generating a cabinet status evaluation index, and judging the heat dissipation demand between cabinets of the Mingqian station; if the heat dissipation demand between cabinets is large, obtaining the environmental data of the Mingqian station and the temperature value of the battery powering the exhaust fan, and generating a heat dissipation mode adjustment demand index between cabinets; adjusting the operation mode of the exhaust fan according to the heat dissipation mode adjustment demand index between cabinets; the present invention determines whether heat dissipation is required between cabinets by real-time collection of the temperature between cabinets, and at the same time constructs a multi-dimensional evaluation system in combination with the ambient temperature, wind speed, wind direction angle and the temperature of the battery powering the exhaust fan, realizes dynamic intelligent regulation, accurately matches heat dissipation intensity and energy consumption, significantly improves energy utilization efficiency, and at the same time reduces the risk of thermal fatigue of equipment, ensures stable operation of the power supply battery, and extends the service life of the equipment.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent equipment and remote monitoring technology, and in particular relates to a method and system for controlling an exhaust fan for temperature regulation between cabinets in a Mingqian station. Background Art

[0002] The cabinet room at Mingqian Station uses a color-coated steel structure with poor thermal insulation performance. In summer, the indoor temperature often exceeds 40°C, posing a serious threat to the stable operation of the equipment.

[0003] Since Mingqian Station has no access to mains electricity and relies on photovoltaic power generation and UPS batteries for power supply, traditional air conditioning cooling solutions cannot be used. Existing heat dissipation methods mostly use fixed-mode exhaust fans.

[0004] However, fixed-mode exhaust fans lack comprehensive control over dynamic temperature changes and the power supply system (such as battery temperature), resulting in low energy efficiency and insufficient heat dissipation. Furthermore, the Mingqian Station is unmanned, making it difficult for personnel to respond to emergencies immediately. This requires highly automated and reliable heat dissipation methods. Existing methods lack the ability to coordinate intelligent regulation and active heat dissipation, making it difficult to meet the precise temperature control requirements in complex environments. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for controlling exhaust fans for temperature regulation between cabinets in a Mingqian station, which solves the above problems.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for controlling an exhaust fan for temperature regulation between cabinets in a Mingqian station, comprising the following steps:

[0007] Obtain the temperature value of the cabinet room at Mingqian Station and generate the cabinet room status evaluation index;

[0008] Determine the heat dissipation requirements of the Mingqian Station cabinets based on the cabinet room status evaluation index;

[0009] Based on the heat dissipation requirements between cabinets at Mingqian Station, we obtained the station's environmental data and the temperature of the exhaust fan's power battery, established an exhaust fan mode adjustment demand analysis model, and generated an inter-cabinet heat dissipation mode adjustment demand index. The environmental data at Mingqian Station included ambient temperature, wind speed, and wind direction.

[0010] Adjust the demand index according to the heat dissipation mode between cabinets and adjust the operation mode of the exhaust fan.

[0011] On the basis of the above technical solutions, the present invention also provides the following optional technical solutions:

[0012] Further technical solution: The method for generating the cabinet room status evaluation index specifically includes the following steps:

[0013] Set several monitoring cycles and obtain the temperature value between cabinets in each monitoring cycle;

[0014] Based on the temperature values ​​between cabinets during each monitoring period, the average temperature evaluation index between cabinets, the temperature change evaluation index between cabinets, and the abnormal temperature continuous evaluation index between cabinets are generated respectively;

[0015] The cabinet room status evaluation index is generated by weighting the cabinet room average temperature evaluation index, the cabinet room temperature change evaluation index, and the cabinet room abnormal temperature continuous evaluation index.

[0016] Further technical solution: The method for generating the average temperature evaluation index between cabinets is specifically as follows:

[0017] Generate an average temperature value based on the temperature values ​​between cabinets during all monitoring periods;

[0018] Generate temperature difference value based on average temperature value and temperature warning value;

[0019] The temperature difference is compared with the temperature warning value to generate the average temperature evaluation index between cabinets;

[0020] Further technical solution: The method for generating the cabinet temperature change evaluation index specifically includes:

[0021] Arrange the temperature values ​​between cabinets within all monitoring periods according to time sequence to generate time series temperature data;

[0022] Generate temperature change values ​​based on adjacent temperature values ​​in time series temperature data;

[0023] Generate temperature change fluctuation values ​​based on all temperature change values;

[0024] Generate a fluctuation difference value based on the temperature change fluctuation value and the fluctuation threshold;

[0025] The fluctuation difference is compared with the fluctuation threshold to generate an evaluation index of temperature variation between cabinets.

[0026] Further technical solution: The method for generating the abnormal temperature continuous evaluation index between cabinets is specifically as follows:

[0027] Compare the temperature value between cabinets during the monitoring period with the temperature warning value;

[0028] If the temperature value between cabinets during the monitoring period is greater than or equal to the temperature warning value, the monitoring period is marked as a temperature abnormality period;

[0029] The number of abnormal temperature cycles is obtained, and the ratio of the number of abnormal temperature cycles to the total number of monitoring cycles is processed to generate an abnormal temperature continuity evaluation index between cabinets.

[0030] Further technical solution: The method for generating the inter-cabinet heat dissipation mode adjustment demand index specifically includes the following steps:

[0031] Based on the heat dissipation requirements between cabinets, obtain the ambient temperature, wind speed, and wind direction of the Mingqian station;

[0032] Generate an environmental impact assessment index based on the ambient temperature, wind speed, and wind direction of the Mingqian station;

[0033] Obtain the temperature value of the battery that powers the exhaust fan and generate a battery temperature factor;

[0034] Establish a fan mode adjustment demand analysis model, substitute the environmental impact assessment index, cabinet status assessment index, and battery temperature factor into the fan mode adjustment demand analysis model to generate a heat dissipation mode adjustment demand index;

[0035] The expression of the exhaust fan mode adjustment demand analysis model is:

[0036] ;

[0037] In the expression, K represents the cooling mode adjustment demand index, CSI represents the cabinet status evaluation index, and EVI represents the environmental impact evaluation index. It represents the battery temperature factor.

[0038] Further technical solution: The environmental impact assessment index is generated in the following manner:

[0039] Generate the indoor and outdoor temperature difference value based on the ambient temperature value and the temperature value between the cabinets;

[0040] The ratio of the indoor and outdoor temperature difference to the temperature value between the cabinets is processed to generate the environmental temperature difference evaluation index;

[0041] Generate a wind speed difference based on the wind speed value and the minimum wind speed value. The minimum wind speed value refers to the wind speed that can drive air flow in the cabinet room.

[0042] The wind speed difference is compared with the minimum wind speed value to generate a wind speed evaluation index;

[0043] The minimum angle difference between the ventilation angles between cabinets is screened based on the wind direction angle. The ventilation angle refers to the angle between the straight line formed by the two ventilation windows between the cabinets and the baseline.

[0044] The minimum angle difference is compared with the angle difference threshold to generate an air circulation smoothness evaluation index; the angle difference threshold refers to the error value of the wind direction angle;

[0045] The environmental temperature difference evaluation index, wind speed evaluation index and air circulation smoothness evaluation index are weighted to generate the environmental impact evaluation index.

[0046] Further technical solution: The specific screening method of the minimum angle difference is:

[0047] Perform difference processing on the wind direction angle and the ventilation angle of each cabinet to generate a collection of angle differences;

[0048] Arrange each angle difference in the angle difference collection by absolute value, select the smallest angle difference, and mark it as the minimum angle difference;

[0049] Further technical solution: The battery temperature factor is obtained in the following manner:

[0050] Generate an operating temperature difference value based on the temperature value of the battery powering the exhaust fan and the maximum value of the standard operating temperature range;

[0051] The standard operating temperature range refers to the standard operating temperature range of the battery powering the exhaust fan;

[0052] The operating temperature difference is compared with the maximum value of the standard operating temperature range to generate a battery temperature factor.

[0053] An exhaust fan control system for temperature control between cabinets in Mingqian Station, the system comprising:

[0054] The cabinet room status evaluation unit is used to obtain the temperature value of the cabinet room of Mingqian Station and generate the cabinet room status evaluation index;

[0055] The heat dissipation demand judgment module is used to judge the heat dissipation demand of the cabinet room of the Mingqian station based on the cabinet room status evaluation index;

[0056] An adjustment demand analysis unit, if the heat dissipation demand between cabinets is large, is used to obtain the environmental data of the Mingqian station and the temperature value of the exhaust fan power supply battery, establish an exhaust fan mode adjustment demand analysis model, and generate an inter-cabinet heat dissipation mode adjustment demand index; wherein the environmental data of the Mingqian station includes the ambient temperature value, wind speed value, and wind direction angle;

[0057] The adjustment module is used to adjust the demand index according to the heat dissipation mode between cabinets and adjust the operation mode of the exhaust fan.

[0058] The present invention provides a method and system for controlling exhaust fans for temperature regulation between cabinets in a Mingqian station, which has the following beneficial effects compared with the prior art:

[0059] The present invention collects the temperature between cabinets in real time to determine whether the cabinets need to dissipate heat. At the same time, it combines the ambient temperature, wind speed, wind direction angle and the temperature of the exhaust fan power supply battery to build a multi-dimensional evaluation system to achieve dynamic intelligent regulation, accurately match the heat dissipation intensity and energy consumption, and significantly improve energy utilization efficiency. At the same time, it also reduces the risk of equipment thermal fatigue, ensures the stable operation of the power supply battery, and extends the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A flowchart of a method for controlling an exhaust fan for temperature regulation between cabinets in a Mingqian station provided in an embodiment of the present invention.

[0061] Figure 2 This is a flowchart of step S10 provided in an embodiment of the present invention.

[0062] Figure 3 This is a flowchart of step S30 provided in an embodiment of the present invention.

[0063] Figure 4 This is a structural block diagram of an exhaust fan control system for temperature control between cabinets in a Mingqian station provided by an embodiment of the present invention.

[0064] Figure 5 This is a module block diagram of a cabinet room status evaluation unit provided in an embodiment of the present invention.

[0065] Figure 6 This is a module block diagram of the adjustment demand analysis unit provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0067] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0068] See also Figure 1 , a method for controlling an exhaust fan for temperature control between cabinets in a Mingqian station provided by an embodiment of the present invention, comprising the following steps:

[0069] Step S10: Obtain the temperature value of the cabinet room of the Mingqian station and generate a cabinet room status evaluation index;

[0070] Step S20: Determine the heat dissipation requirements of the cabinets at the Mingqian station based on the cabinet status evaluation index;

[0071] Step S30: If the inter-cabinet heat dissipation demand is large, obtain the environmental data of the Mingqian station and the temperature value of the exhaust fan power supply battery, establish an exhaust fan mode adjustment demand analysis model, and generate an inter-cabinet heat dissipation mode adjustment demand index; wherein the environmental data of the Mingqian station includes the ambient temperature value, wind speed value, and wind direction angle;

[0072] Step S40: adjusting the demand index according to the heat dissipation mode between cabinets and adjusting the operation mode of the exhaust fan.

[0073] See also Figure 2 As a preferred embodiment of the present invention, step S10 specifically includes the following steps:

[0074] S11: Set several monitoring cycles and obtain the temperature value between the cabinets in each monitoring cycle;

[0075] S12: Generate an average temperature evaluation index between cabinets, a temperature change evaluation index between cabinets, and an abnormal temperature continuous evaluation index between cabinets based on the temperature values ​​between cabinets during each monitoring period.

[0076] S13: Perform weighted processing on the average temperature evaluation index between cabinets, the temperature variation evaluation index between cabinets, and the abnormal temperature duration evaluation index between cabinets to generate a cabinet status evaluation index.

[0077] As a preferred embodiment of the present invention, the average temperature evaluation index between cabinets is generated in the following manner:

[0078] The temperature values ​​between cabinets in all monitoring periods are averaged to generate an average temperature value;

[0079] Perform difference processing on the average temperature value and the temperature warning value to generate a temperature difference value;

[0080] The temperature difference is compared with the temperature warning value to generate the average temperature evaluation index between cabinets;

[0081] It should be noted that the temperature warning value refers to the maximum temperature value under the standard state of the cabinet room; the standard state means that the equipment in the cabinet room can operate normally;

[0082] In addition, the duration of the monitoring cycle is set by relevant personnel in this field, and its value includes but is not limited to ten minutes, half an hour, one hour, etc.;

[0083] The method for generating the inter-cabinet temperature change evaluation index specifically includes:

[0084] Arrange the temperature values ​​between cabinets within all monitoring periods according to time sequence to generate time series temperature data;

[0085] Perform difference processing on adjacent temperature values ​​in the time series temperature data to generate temperature change values;

[0086] Time series refers to the order of the flow of time. In this embodiment, arranging temperature values ​​according to time series means arranging the monitoring periods by time. Each monitoring period has a corresponding temperature value, i.e., generating time series temperature data. The time series temperature data is the collection of all arranged temperature values. For example, if the monitoring periods are arranged by time as 6:00 AM, 7:00 AM, and 8:00 AM, the corresponding temperature values ​​at 6:00 AM, 7:00 AM, and 8:00 AM are 15°C, 18°C, and 24°C, respectively. That is, {15°C, 18°C, 24°C} is the collection of all arranged temperature values, i.e., the time series temperature data.

[0087] In addition, the temperature value of the cabinet room during the monitoring period is the average temperature value of the cabinet room. This average temperature value refers to the average temperature value of all spaces in the cabinet room (for example, the space on the left and right sides of the cabinet).

[0088] All temperature change values ​​are processed for variance to generate temperature change fluctuation values;

[0089] Performing difference processing on the temperature change fluctuation value and the fluctuation threshold to generate a fluctuation difference;

[0090] The fluctuation difference is compared with the fluctuation threshold to generate an evaluation index of temperature variation between cabinets.

[0091] It should be explained that the value of the fluctuation threshold is set by relevant personnel in this field;

[0092] In addition, large temperature fluctuations between cabinets can cause equipment to repeatedly switch between high and normal temperatures. Long-term temperature fluctuations can lead to thermal cycling fatigue in the equipment, accelerating wear on internal solder joints and connections, and increasing the risk of hardware failure.

[0093] The method for generating the abnormal temperature continuous evaluation index between cabinets is specifically as follows:

[0094] Compare the temperature value between cabinets during the monitoring period with the temperature warning value;

[0095] If the temperature value between cabinets during the monitoring period is greater than or equal to the temperature warning value, the monitoring period is marked as a temperature abnormality period;

[0096] The number of abnormal temperature cycles is obtained, and the ratio of the number of abnormal temperature cycles to the total number of monitoring cycles is processed to generate an abnormal temperature continuity evaluation index between cabinets.

[0097] As a preferred embodiment of the present invention, the method of determining the heat dissipation requirements between cabinets of the Mingqian station is specifically as follows:

[0098] comparing the cabinet room status evaluation index with the cabinet room status evaluation index threshold;

[0099] The value of the cabinet room status evaluation index threshold is set by relevant personnel in this field;

[0100] When the cabinet room status evaluation index is less than the cabinet room status evaluation index threshold, it indicates that the cabinet room's heat dissipation demand is small. The smaller the cabinet room status evaluation index, the smaller the heat dissipation demand. When the heat dissipation demand between cabinets is small, there is no need to adjust the exhaust fan.

[0101] When the cabinet room status evaluation index is greater than or equal to the cabinet room status evaluation index threshold, it indicates that the cabinet room has a high heat dissipation demand. The larger the cabinet room status evaluation index, the greater the heat dissipation demand. When the heat dissipation demand is high, the exhaust fan needs to be adjusted to improve the cabinet room status.

[0102] In this embodiment, when the inter-cabinet status evaluation index is greater than the inter-cabinet status evaluation index threshold, if the inter-cabinet status evaluation index is too large (for example, when the inter-cabinet status evaluation index is x times the inter-cabinet status evaluation index threshold, x is greater than 1), certain early warning measures can be taken to remind maintenance personnel to pay attention to the abnormal situation so that they can rush to the Mingqian station for maintenance to prevent the exhaust fan's heat dissipation from being unable to handle the abnormal situation and causing further losses.

[0103] See also Figure 3 As a preferred embodiment of the present invention, step S30 specifically includes the following steps:

[0104] S31: If the heat dissipation demand between cabinets is large, obtain the ambient temperature, wind speed, and wind direction of the Mingqian station;

[0105] S32: Generate an environmental impact assessment index based on the ambient temperature value, wind speed value, and wind direction angle of the Mingqian station;

[0106] S33: Obtain the temperature value of the battery that powers the exhaust fan and generate a battery temperature factor;

[0107] S34: Establishing an exhaust fan mode adjustment demand analysis model, substituting the environmental impact assessment index, the cabinet status assessment index, and the battery temperature factor into the exhaust fan mode adjustment demand analysis model to generate a heat dissipation mode adjustment demand index;

[0108] The expression of the exhaust fan mode adjustment demand analysis model is:

[0109] ;

[0110] In the expression, K represents the cooling mode adjustment demand index, CSI represents the cabinet status evaluation index, and EVI represents the environmental impact evaluation index. It represents the battery temperature factor.

[0111] As a preferred embodiment of the present invention, the environmental impact assessment index is generated in the following manner:

[0112] The difference between the ambient temperature and the temperature between the cabinets is processed to generate the indoor and outdoor temperature difference;

[0113] The ratio of the indoor and outdoor temperature difference to the temperature value between the cabinets is processed to generate the environmental temperature difference evaluation index;

[0114] It should be explained that the temperature difference between indoors and outdoors will increase the speed of indoor temperature changes. The greater the temperature difference, the faster the indoor temperature changes, and therefore the greater the demand for heat dissipation.

[0115] Furthermore, the wind speed value is subtracted from the minimum wind speed value to generate a wind speed difference value;

[0116] The wind speed difference is compared with the minimum wind speed value to generate a wind speed evaluation index;

[0117] It should be noted that the minimum wind speed value refers to the wind speed that can drive the air flow in the cabinet room and can drive the air out of the cabinet room;

[0118] In this embodiment, the minimum wind speed value is set by relevant personnel in this field based on the data of the heat dissipation windows between the cabinets (the size of the heat dissipation window opening and the blocking of the screen on the heat dissipation window). The size of the heat dissipation window opening and the screen on the heat dissipation window will block the wind from entering the cabinet room. When the wind speed is insufficient, the wind will not be able to blow into the cabinet room.

[0119] Furthermore, the minimum angle difference between the ventilation angles between the cabinets is screened based on the wind direction angle; the ventilation angle refers to the angle formed by the straight line formed between the two ventilation windows between the cabinets and the baseline;

[0120] It should be explained that the wind direction angle is also the angle between the straight line formed by the wind's path and the reference line. In addition, the reference line can be a straight line formed by longitude and latitude, the equator, the meridian, or the edge of the cabinet (on the horizontal plane).

[0121] The specific screening methods are:

[0122] Perform difference processing on the wind direction angle and the ventilation angle of each cabinet to generate a collection of angle differences;

[0123] Arrange each angle difference in the angle difference collection by absolute value, select the smallest angle difference, and mark it as the minimum angle difference;

[0124] The minimum angle difference is compared with the angle difference threshold to generate an air circulation smoothness evaluation index; the angle difference threshold refers to the error value of the wind direction angle;

[0125] It should be noted that the wind direction angle error value refers to the maximum angle deviation of the wind direction angle that does not affect the smoothness of natural wind passing through the cabinets;

[0126] In this embodiment, when the wind in the Mingqian station passes through the cabinet room (the cabinet room is equipped with heat dissipation windows), the wind direction angle further affects the smoothness of the wind from blowing into the cabinet room to blowing out of the cabinet room (whether there is any obstruction to the movement of the wind between the cabinets);

[0127] If the wind direction angle overlaps the straight line between the two windows, air will flow directly into and out of the cabinets, forming a direct airflow path. In this direct airflow path, the airflow direction and the position of the air outlet (window) are consistent, and the airflow is smooth and direct. As the air flows between the cabinets, it can quickly remove heat and flow out through the windows, achieving more efficient heat dissipation.

[0128] On the other hand, if the airflow direction is not completely aligned with the window's air outlet path, the airflow may need to bypass obstacles between cabinets or be interrupted by some resistance factors (such as walls and equipment). This will reduce the efficiency of airflow and may make it difficult for hot air to be discharged quickly and effectively, resulting in poor heat dissipation.

[0129] In addition, the wind direction angle error is also related to the size of the windows in the cabinet room. The larger the window diameter, the greater the error. In actual applications, the window size cannot be too large. Oversized windows can allow external materials (dust, rainwater, etc.) to enter the cabinet room and cause damage to the equipment inside.

[0130] Furthermore, the environmental temperature difference evaluation index, wind speed evaluation index and air circulation smoothness evaluation index are weighted to generate an environmental impact evaluation index;

[0131] For example, by the formula:

[0132] ;

[0133] Generate environmental impact assessment index EVI;

[0134] In the formula, It represents the environmental temperature difference evaluation index. It represents the wind speed evaluation index. It represents the air circulation smoothness evaluation index. 、 、 are weight coefficients, and + + =1;

[0135] It needs to be explained that 、 、 The value can be obtained through linear regression equation, expert consultation method, etc.

[0136] As a preferred embodiment of the present invention, the battery temperature factor is obtained in the following manner:

[0137] Performing a difference processing on the temperature value of the battery powering the exhaust fan and the maximum value of the standard operating temperature range to generate an operating temperature difference;

[0138] The standard operating temperature range refers to the standard operating temperature range of the battery powering the exhaust fan;

[0139] The operating temperature difference is compared with the maximum value of the standard operating temperature range to generate a battery temperature factor;

[0140] In this embodiment, the temperature of the battery powering the exhaust fan is not only affected by the ambient temperature, but the temperature of the battery powering the exhaust fan will also increase when the exhaust fan is running at high power. When the temperature of the battery powering the exhaust fan is too high, it may cause abnormalities in the battery powering the exhaust fan or even cause irreversible damage. Therefore, when adjusting the operating mode of the exhaust fan, it is necessary to consider the temperature status of the battery powering the exhaust fan to prevent the battery powering the exhaust fan from being damaged and unable to power the exhaust fan.

[0141] As a preferred embodiment of the present invention, the operation mode of the exhaust fan is adjusted as follows:

[0142] Comparing the inter-cabinet heat dissipation mode adjustment demand index with a demand index range; wherein the demand index range includes a first warning value and a second warning value, and the first threshold is less than the second threshold;

[0143] It should be explained that the values ​​of the demand index range and the first warning value and the second warning value in the demand index range are set by relevant personnel in this field, and the methods for determining the values ​​include but are not limited to linear regression, expert consultation method, etc.;

[0144] When the inter-cabinet cooling mode adjustment demand index is less than or equal to the first warning value, the exhaust fan operation mode is adjusted to low power mode. The smaller the inter-cabinet cooling mode adjustment demand index, the smaller the inter-cabinet cooling mode adjustment demand.

[0145] When the inter-cabinet cooling mode adjustment demand index is greater than the first warning value and less than the second warning value, the exhaust fan operation mode is adjusted to the normal power mode; the larger the inter-cabinet cooling mode adjustment demand index, the greater the inter-cabinet cooling mode adjustment demand;

[0146] When the inter-cabinet cooling mode adjustment demand index is greater than the second warning value, the exhaust fan operation mode is adjusted to high-power mode; if the inter-cabinet cooling mode adjustment demand index is larger, it means that the inter-cabinet cooling mode adjustment demand is greater; when the exhaust fan operation mode is adjusted to high-power mode, it is necessary to warn the maintenance personnel to remind them to pay attention to the abnormal situation between the cabinets so that they can rush to the site for maintenance.

[0147] See also Figure 4 The present invention also provides a ventilation fan control system for temperature control between cabinets in a Mingqian station, the system comprising:

[0148] The cabinet room status evaluation unit 10 is used to obtain the temperature value of the cabinet room of the Mingqian station and generate a cabinet room status evaluation index;

[0149] The heat dissipation demand judgment module 20 is used to judge the heat dissipation demand of the cabinet room of the Mingqian station according to the cabinet room status evaluation index;

[0150] The adjustment demand analysis unit 30 is used to obtain the environmental data of the Mingqian station and the temperature value of the exhaust fan power supply battery if the heat dissipation demand between the cabinets is large, establish the exhaust fan mode adjustment demand analysis model, and generate the inter-cabinet heat dissipation mode adjustment demand index; wherein the environmental data of the Mingqian station includes the ambient temperature value, wind speed value and wind direction angle;

[0151] The adjustment module 40 is used to adjust the demand index according to the heat dissipation mode between the cabinets and adjust the operation mode of the exhaust fan.

[0152] See also Figure 5 As a preferred embodiment of the present invention, the cabinet room status evaluation unit specifically includes:

[0153] The temperature data acquisition module 11 is used to set a number of monitoring cycles and obtain the temperature value between the cabinets in each monitoring cycle;

[0154] The data analysis module 12 is used to generate an average temperature evaluation index between cabinets, an evaluation index of temperature variation between cabinets, and an abnormal temperature persistence evaluation index between cabinets according to the temperature value between cabinets in each monitoring period;

[0155] The cabinet room status evaluation index generation module 13 is used to perform weighted processing on the cabinet room average temperature evaluation index, the cabinet room temperature change evaluation index and the cabinet room abnormal temperature duration evaluation index to generate the cabinet room status evaluation index.

[0156] See also Figure 6 As a preferred embodiment of the present invention, the adjustment demand analysis unit specifically includes:

[0157] Environmental data acquisition module 31, if the heat dissipation demand between cabinets is large, the environmental data acquisition module 31 is used to obtain the ambient temperature value, wind speed value and wind direction angle of the Mingqian station;

[0158] Environmental data analysis module 32, used to generate an environmental impact assessment index based on the ambient temperature value, wind speed value and wind direction angle of Mingqian Station;

[0159] The power supply battery analysis module 33 is used to obtain the temperature value of the power supply battery of the exhaust fan and generate a battery temperature factor;

[0160] The heat dissipation mode adjustment demand index generation module 34 is used to establish an exhaust fan mode adjustment demand analysis model, substitute the environmental impact evaluation index, the cabinet status evaluation index and the battery temperature factor into the exhaust fan mode adjustment demand analysis model, and generate a heat dissipation mode adjustment demand index.

[0161] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling exhaust fans for temperature control between cabinets in Mingqian Station, characterized in that: The following steps are involved: Obtain the temperature value of the cabinet room at Mingqian Station and generate the cabinet room status evaluation index; The method for generating the cabinet room status evaluation index specifically includes the following steps: Set several monitoring cycles and obtain the temperature value of the cabinet room during each monitoring cycle. The temperature value of the cabinet room during the monitoring cycle is the average temperature value of the cabinet room, which refers to the average temperature value of all spaces in the cabinet room. Based on the temperature values ​​between cabinets during each monitoring period, the average temperature evaluation index between cabinets, the temperature change evaluation index between cabinets, and the abnormal temperature continuous evaluation index between cabinets are generated respectively; The cabinet room status evaluation index is generated by weighting the cabinet room average temperature evaluation index, the cabinet room temperature change evaluation index, and the cabinet room abnormal temperature continuous evaluation index. Determine the heat dissipation requirements of the Mingqian Station cabinets based on the cabinet room status evaluation index; Based on the heat dissipation requirements between cabinets at Mingqian Station, we obtained the station's environmental data and the temperature of the exhaust fan's power battery, established an exhaust fan mode adjustment demand analysis model, and generated an inter-cabinet heat dissipation mode adjustment demand index. The environmental data at Mingqian Station included ambient temperature, wind speed, and wind direction. The method for generating the inter-cabinet heat dissipation mode adjustment demand index specifically includes the following steps: Based on the heat dissipation requirements between cabinets, obtain the ambient temperature, wind speed, and wind direction of the Mingqian station; Generate an environmental impact assessment index based on the ambient temperature, wind speed, and wind direction of the Mingqian station; Obtain the temperature value of the battery that powers the exhaust fan and generate a battery temperature factor; Establish a fan mode adjustment demand analysis model, substitute the environmental impact assessment index, cabinet status assessment index, and battery temperature factor into the fan mode adjustment demand analysis model to generate a heat dissipation mode adjustment demand index; The expression of the exhaust fan mode adjustment demand analysis model is: ； In the expression, K represents the cooling mode adjustment demand index, CSI represents the cabinet status evaluation index, and EVI represents the environmental impact evaluation index. It represents the battery temperature factor; Adjust the demand index according to the heat dissipation mode between cabinets and adjust the operation mode of the exhaust fan.

2. A method for controlling exhaust fans for temperature control between cabinets in a Mingqian station according to claim 1, characterized in that: The method for generating the average temperature evaluation index between cabinets is specifically as follows: Generate an average temperature value based on the temperature values ​​between cabinets during all monitoring periods; Generate temperature difference value based on average temperature value and temperature warning value; The temperature difference is compared with the temperature warning value to generate the average temperature evaluation index between cabinets.

3. A method for controlling exhaust fans for temperature control between cabinets in a Mingqian station according to claim 1, characterized in that: The method for generating the inter-cabinet temperature variation evaluation index specifically includes: Arrange the temperature values ​​between cabinets within all monitoring periods according to time sequence to generate time series temperature data; Generate temperature change values ​​based on adjacent temperature values ​​in time series temperature data; Generate temperature change fluctuation values ​​based on all temperature change values; Generate a fluctuation difference value based on the temperature change fluctuation value and the fluctuation threshold; The fluctuation difference is compared with the fluctuation threshold to generate an evaluation index of temperature variation between cabinets.

4. A method for controlling exhaust fans for temperature control between cabinets in a Mingqian station according to claim 1, characterized in that: The method for generating the abnormal temperature continuous evaluation index between cabinets is specifically as follows: Compare the temperature value between cabinets during the monitoring period with the temperature warning value; If the temperature value between cabinets during the monitoring period is greater than or equal to the temperature warning value, the monitoring period is marked as a temperature abnormality period; The number of abnormal temperature cycles is obtained, and the ratio of the number of abnormal temperature cycles to the total number of monitoring cycles is processed to generate an abnormal temperature continuity evaluation index between cabinets.

5. The exhaust fan control method for temperature control between cabinets in Mingqian Station according to claim 1 is characterized in that: The environmental impact assessment index is generated in the following manner: Generate the indoor and outdoor temperature difference value based on the ambient temperature value and the temperature value between the cabinets; The ratio of the indoor and outdoor temperature difference to the temperature value between the cabinets is processed to generate the environmental temperature difference evaluation index; Generate wind speed difference value according to wind speed value and minimum wind speed value; The minimum wind speed value refers to the wind speed that can drive the air flow in the cabinet room; The wind speed difference is compared with the minimum wind speed value to generate a wind speed evaluation index; The minimum angle difference between the ventilation angles between cabinets is screened based on the wind direction angle. The ventilation angle refers to the angle between the straight line formed by the two ventilation windows between the cabinets and the baseline. The minimum angle difference is compared with the angle difference threshold to generate an air circulation smoothness evaluation index; the angle difference threshold refers to the error value of the wind direction angle; The environmental temperature difference evaluation index, wind speed evaluation index and air circulation smoothness evaluation index are weighted to generate the environmental impact evaluation index.

6. A method for controlling exhaust fans for temperature control between cabinets in a Mingqian station according to claim 5, characterized in that: The specific screening method of the minimum angle difference is: Perform difference processing on the wind direction angle and the ventilation angle of each cabinet to generate a collection of angle differences; Each angle difference in the angle difference collection is arranged by absolute value, and the smallest angle difference is selected and marked as the minimum angle difference.

7. The exhaust fan control method for temperature control between cabinets in Mingqian Station according to claim 1 is characterized in that: The battery temperature factor is obtained in the following manner: Generate an operating temperature difference value based on the temperature value of the battery powering the exhaust fan and the maximum value of the standard operating temperature range; The standard operating temperature range refers to the standard operating temperature range of the battery powering the exhaust fan; The operating temperature difference is compared with the maximum value of the standard operating temperature range to generate a battery temperature factor.

8. A fan control system for temperature control between cabinets at Mingqian Station, characterized in that: The system is used to perform the method according to any one of claims 1 to 7, and the system comprises: The cabinet room status evaluation unit is used to obtain the temperature value of the cabinet room of Mingqian Station and generate the cabinet room status evaluation index; The heat dissipation demand judgment module is used to judge the heat dissipation demand of the cabinet room of Mingqian Station based on the cabinet room status evaluation index; An adjustment demand analysis unit, if the heat dissipation demand between cabinets is large, is used to obtain the environmental data of the Mingqian station and the temperature value of the exhaust fan power supply battery, establish an exhaust fan mode adjustment demand analysis model, and generate an inter-cabinet heat dissipation mode adjustment demand index; wherein the environmental data of the Mingqian station includes the ambient temperature value, wind speed value, and wind direction angle; An adjustment module is used to adjust the demand index according to the heat dissipation mode between cabinets and adjust the operation mode of the exhaust fan; The cabinet room status evaluation unit specifically includes: The temperature data acquisition module is used to set several monitoring cycles and obtain the temperature value between cabinets in each monitoring cycle; A data analysis module is used to generate an average temperature evaluation index between cabinets, an evaluation index of temperature variation between cabinets, and an abnormal temperature continuous evaluation index between cabinets based on the temperature values ​​between cabinets during each monitoring period; A cabinet room status evaluation index generation module is used to perform weighted processing on the cabinet room average temperature evaluation index, the cabinet room temperature change evaluation index, and the cabinet room abnormal temperature continuous evaluation index to generate a cabinet room status evaluation index; The adjustment demand analysis unit specifically includes: Environmental data acquisition module: If the heat dissipation demand between cabinets is large, the environmental data acquisition module 31 is used to obtain the ambient temperature value, wind speed value and wind direction angle of the Mingqian station; Environmental data analysis module, used to generate environmental impact assessment index based on the ambient temperature, wind speed and wind direction of Mingqian Station; The power supply battery analysis module is used to obtain the temperature value of the exhaust fan power supply battery and generate the battery temperature factor; The heat dissipation mode adjustment demand index generation module is used to establish an exhaust fan mode adjustment demand analysis model, substitute the environmental impact evaluation index, the cabinet status evaluation index and the battery temperature factor into the exhaust fan mode adjustment demand analysis model, and generate the heat dissipation mode adjustment demand index.

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