Resistance performance monitoring method and device, electronic equipment and storage medium

Abstract

The invention discloses a resistance performance monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of data monitoring. According to the application, tower outlet air dry-bulb temperature and flow velocity data and dry-bulb temperature, relative humidity and atmospheric pressure data at an air inlet of a cooling tower are comprehensively obtained based on pre-arranged measuring points; a wider parameter acquisition range can be covered, the influence of environmental wind interference and non-uniform section flow velocity distribution on data acquisition is effectively reduced, and a one-sided data acquisition mode of single-point or non-equal-area ring arrangement of measuring points is not adopted, so that the data acquisition efficiency is improved. The technical problems of insufficient representativeness of data acquisition results and low resistance calculation accuracy caused by environmental wind interference and non-uniform section flow velocity distribution due to single-point or non-equal-area ring arrangement of measuring points in the prior art can be solved. The technical effects of improving the representativeness of the data acquisition result, improving the calculation accuracy of the total resistance coefficient of the cooling tower and providing reliable data support for resistance performance evaluation are achieved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of data monitoring, and particularly relates to a resistance performance monitoring method and device, electronic equipment and a storage medium. BACKGROUND

[0002] As a key equipment in the thermal cycle system of a thermal power plant, an indirect air cooling tower is widely used in the cooling system of a power plant in a high-cold and arid area, and its operation performance directly affects the thermal efficiency and economy of the unit. In the related technology, a cooling tower resistance performance evaluation system is constructed by collecting and analyzing parameters such as temperature, humidity and wind speed, covering the whole process from meteorological parameter acquisition, air density calculation, enthalpy analysis to extraction force balance modeling.

[0003] In the existing indirect air cooling tower resistance monitoring method, a single point or a non-equal-area ring arrangement of measuring points is directly used, and due to the influence of environmental wind interference and uneven cross-sectional flow velocity distribution, the representativeness of the collected data is insufficient, affecting the accuracy of resistance calculation. SUMMARY

[0004] The present disclosure provides a resistance performance monitoring method, device, electronic equipment and storage medium. Its main purpose is to solve the problem that environmental wind interference and uneven cross-sectional flow velocity distribution affect the representativeness of the collected data, and affect the accuracy of resistance calculation.

[0005] According to a first aspect of the present disclosure, a resistance performance monitoring method is provided, comprising:

[0006] Based on the pre-arranged measuring points, the outlet air dry-bulb temperature and flow velocity data are obtained;

[0007] The dry-bulb temperature, relative humidity and atmospheric pressure data at the inlet of the cooling tower are collected, and the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air entering the tower are calculated;

[0008] According to the outlet air dry-bulb temperature and the relative humidity, the inlet air density is calculated based on a preset formula, and the outlet air density is calculated based on the outlet air dry-bulb temperature and the relative humidity;

[0009] Based on the inlet air density, the outlet air density and the flow velocity data, the total resistance coefficient of the cooling tower is calculated.

[0010] Optionally, the obtaining of the outlet air dry-bulb temperature and flow velocity data based on the pre-arranged measuring points comprises:

[0011] Based on the distance, the formula is used to calculate the distance between the measuring point and the tower center; wherein R is the radius of the tower throat, k is the measuring point number, and n is the total number of equal-area ring measuring points;

[0012] arranging the measuring points based on the calculated positions of the measuring points; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure uniformity and representativeness of the throat cross-section air flow velocity distribution.

[0013] Optionally, the dry-bulb temperature, relative humidity and atmospheric pressure data at the cooling tower air inlet are collected, and the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the tower inlet air are calculated, including:

[0014] The tower inlet air dry-bulb temperature is calculated by the formula ; wherein T k is the dry-bulb temperature of the kth measuring point;

[0015] The average value of the relative humidity is calculated based on ; wherein is the relative humidity of the kth measuring point;

[0016] The saturated vapor pressure is calculated according to the formula , wherein T is the K-type temperature of the tower inlet air.

[0017] Optionally, the total resistance coefficient of the cooling tower is calculated based on the tower inlet air density, the tower outlet air density and the flow velocity data, including:

[0018] The total resistance coefficient is calculated by the formula ΔP = ρ_{\text{in}}gH - ρ_{\text{out}}gH; wherein ρ_{\text{in}} is the tower inlet air density, ρ_{\text{out}} is the tower outlet air density, g is the acceleration of gravity, and H is the effective air draft height of the tower;

[0019] The total resistance coefficient of the cooling tower is displayed in real time based on the industrial computer, and the total resistance coefficient of the cooling tower is compared with a resistance threshold value;

[0020] In response to the total resistance coefficient of the cooling tower being greater than or equal to the resistance threshold value, a warning signal is triggered.

[0021] Optionally, the method further includes:

[0022] The mass flow rate of the tower air is calculated according to the cooling tower outlet air flow rate and the cooling tower cross-sectional area;

[0023] The radiator windward surface mass flow rate density is calculated based on the mass flow rate and the radiator windward surface area.

[0024] According to a second aspect of the present disclosure, a resistance performance monitoring device is provided, including:

[0025] The acquisition unit is used to acquire dry-bulb temperature and flow rate data of the air exiting the tower based on pre-arranged measuring points;

[0026] The first calculation unit is used to collect data on dry bulb temperature, relative humidity and atmospheric pressure at the air inlet of the cooling tower, and to calculate the average dry bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air entering the tower.

[0027] The second calculation unit is used to calculate the density of the air entering the tower based on a preset formula according to the dry-bulb temperature of the air exiting the tower and the relative humidity, and to calculate the density of the air exiting the tower based on the dry-bulb temperature of the air exiting the tower and the relative humidity.

[0028] The third calculation unit is used to calculate the total resistance coefficient of the cooling tower based on the inlet air density, the outlet air density, and the flow velocity data.

[0029] Optionally, the acquisition unit is further configured to:

[0030] Based on distance according to formula Calculate the distance between the measuring point and the center of the tower; where R is the radius of the tower throat, k is the measuring point number, and n is the total number of measuring points in the equal area ring.

[0031] The measuring points are arranged based on the calculated locations; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure the uniformity and representativeness of the air velocity distribution in the throat section.

[0032] Optionally, the first computing unit is used for:

[0033] The dry-bulb temperature of the inlet air is determined by the formula... Calculated; where T k Let K be the dry-bulb temperature at the k-th measuring point;

[0034] The average relative humidity is based on Calculated; where Let K be the relative humidity at the k-th measuring point.

[0035] The saturated vapor pressure is according to the Gilly formula. Calculate, where T is the K temperature of the air entering the tower.

[0036] Optionally, the third computing unit is further configured to:

[0037] The formula for calculating the total resistance coefficient is ΔP=ρ_{\text{in}}gH-ρ_{\text{out}}gH; where ρ_{\text{in}} is the air density entering the tower, ρ_{\text{out}} is the air density exiting the tower, g is the acceleration due to gravity, and H is the effective exhaust height of the tower;

[0038] The industrial computer displays the total resistance coefficient of the cooling tower in real time, and compares the total resistance coefficient of the cooling tower with a resistance threshold value.

[0039] In response to the total resistance coefficient of the cooling tower being greater than or equal to the resistance threshold value, a pre-warning signal is triggered.

[0040] Optionally, the device further comprises:

[0041] A fourth calculation unit is configured to calculate the mass flow rate of the tower air according to the air flow rate of the cooling tower and the cross-sectional area of the cooling tower.

[0042] A fifth calculation unit is configured to calculate the mass flow rate density of the radiator windward surface based on the mass flow rate and the area of the radiator windward surface.

[0043] According to a third aspect of the present disclosure, an electronic device is provided, comprising:

[0044] at least one processor; and

[0045] a memory connected to the at least one processor; wherein

[0046] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of the first aspect.

[0047] According to a fourth aspect of the present disclosure, a non-transitory computer readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method of the first aspect.

[0048] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of the first aspect.

[0049] The resistance performance monitoring method, device, electronic equipment and storage medium provided by the present disclosure mainly include the following technical solutions: obtaining the dry-bulb temperature and flow rate data of the out-tower air based on pre-arranged measuring points; collecting the dry-bulb temperature, relative humidity and atmospheric pressure data at the cooling tower air inlet, and calculating the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the in-tower air; calculating the in-tower air density based on a preset formula according to the out-tower air dry-bulb temperature and the relative humidity, and calculating the out-tower air density based on the out-tower air dry-bulb temperature and the relative humidity; and calculating the total resistance coefficient of the cooling tower based on the in-tower air density, the out-tower air density and the flow rate data. Compared with related technologies, the present disclosure can cover a wider range of parameter collection by comprehensively obtaining the out-tower air dry-bulb temperature, flow rate data and dry-bulb temperature, relative humidity and atmospheric pressure data at the cooling tower air inlet based on pre-arranged measuring points, effectively reducing the influence of environmental wind interference and uneven cross-sectional flow rate distribution on data collection, and thus solving the technical problems of insufficient representativeness of data collection results and low resistance calculation accuracy caused by single-point or non-equal-area ring arrangement of measuring points and environmental wind interference and uneven cross-sectional flow rate distribution in the prior art, achieving the technical effects of improving the representativeness of data collection results, improving the calculation accuracy of the total resistance coefficient of the cooling tower and providing reliable data support for resistance performance evaluation.

[0050] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0051] The accompanying drawings are used to better understand the present scheme and do not limit the present disclosure. Among them:

[0052] Figure 1 A flowchart of a resistance performance monitoring method provided by an embodiment of the present disclosure;

[0053] Figure 2 A structural schematic diagram of a resistance performance monitoring device provided by an embodiment of the present disclosure;

[0054] Figure 3 A structural schematic diagram of another resistance performance monitoring device provided by an embodiment of the present disclosure;

[0055] Figure 4 A schematic block diagram of an example electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0056] Exemplary embodiments of the present disclosure are described herein below with reference to the accompanying drawings, in which various details are set forth to facilitate an understanding of the embodiments of the present disclosure. It will be apparent, however, to one skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Also, for the purpose of clarity and the brevity of description, the description below omits the description of well-known functions and structures.

[0057] The resistance performance monitoring method, device, electronic equipment and storage medium of the embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0058] Figure 1 A flowchart of a resistance performance monitoring method provided by the embodiments of the present disclosure.

[0059] As shown in the method comprises the following steps: Figure 1

[0060] Step 101, based on the pre-arranged measuring points, obtaining the dry-bulb temperature and flow rate data of the air out of the tower;

[0061] The measuring points are arranged in an equal-area ring manner, specifically, an equal-area ring is arranged on each of two diameters perpendicular to each other at the throat of the cooling tower, wherein the equal-area ring refers to dividing the circular section at the throat into a plurality of annular regions with equal areas, one measuring point is arranged in each annular region, and the total number of the equal-area rings is not less than 10, so as to comprehensively monitor the air parameters at different positions of the section at the throat and avoid data deviation caused by incomplete coverage of the measuring points. The distance of each measuring point from the center of the tower is determined by a corresponding calculation manner in combination with the radius of the throat of the tower, the measuring point number counted from the center of the tower, and the total number of the equal-area rings, so as to ensure the accuracy of the position of each measuring point and meet the representative requirements of data collection. During the data collection process, the dry-bulb temperature of the air out of the tower is measured by a thermometer, and the selected thermometer needs to meet the standards of resolution not greater than 0.2°C and instrument accuracy not less than 0.5 level, so as to ensure the accuracy of the temperature data; the flow rate of the air out of the tower is tested by a propeller anemometer, which needs to meet the accuracy requirements of resolution not greater than 0.01 m / s and instrument accuracy not less than 0.1 m / s, and the propeller anemometer must be perpendicular to the air flow direction during installation to prevent the flow rate data from being distorted due to improper installation angle. Through the scientific design of the above pre-arranged measuring points and the application of compliant equipment, the dry-bulb temperature and flow rate data of the air out of the tower can be stably and accurately obtained.

[0062] Step 102, collecting the dry-bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower, and calculating the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air into the tower;

[0063] ​When collecting and calculating the relevant parameters of the air entering the cooling tower, the arrangement specification of the measuring point at the air inlet should be determined first. The measuring point should be arranged at a horizontal distance of 1 m and a height of 1.5 m from the edge of the radiator, which can effectively avoid the direct influence of the radiator cooling process on the air parameters entering the tower and truly reflect the initial state of the ambient air entering the cooling tower, thereby providing a reliable basis for subsequent parameter calculation.

[0064] Four measuring points are arranged uniformly in the circumferential direction of the air inlet. The multi-measuring point distribution can reduce the randomness of single measuring point data and ensure that the collected parameters are representative and cover the air state in different areas of the air inlet. The parameter collection should use equipment that meets the accuracy requirements. The overall data collection is completed by the weather station. The atmospheric pressure is measured by a pressure gauge that meets the resolution requirement of 0.1 hPa to accurately capture the subtle changes in atmospheric pressure. The dry-bulb temperature is measured by a special thermometer that meets the resolution requirement of not more than 0.2°C and the instrument accuracy requirement of not less than 0.5 level to ensure the accuracy of the temperature data. The relative humidity is collected by a hygrometer with an accuracy of ± 2% to avoid the influence of humidity measurement deviation on the subsequent calculation results.

[0065] After completing the parameter collection, the data calculation is entered. The average dry-bulb temperature of the air entering the tower is obtained by calculating the arithmetic mean of the dry-bulb temperatures collected by the four measuring points. This average value can comprehensively reflect the overall temperature level of the air entering the tower and eliminate the errors caused by local temperature fluctuations. The average relative humidity of the air entering the tower is also calculated by the arithmetic mean method, which can accurately reflect the overall humidity condition of the air entering the tower. After obtaining the average dry-bulb temperature, the corresponding saturated vapor pressure needs to be calculated. The saturated vapor pressure is calculated by the Kille formula published by Kille in 1939. During the calculation process, the average dry-bulb temperature needs to be converted to Kelvin temperature (i.e. thermodynamic temperature, unit: K). After substituting the formula, the value of the saturated vapor pressure at the corresponding temperature can be obtained, which is 10^5 Pa. The accurate calculation of the saturated vapor pressure provides a necessary basis for the derivation of the key parameters such as the density of the air entering the tower.

[0066] Step 103, calculating the air density entering the tower based on the preset formula according to the dry-bulb temperature and the relative humidity of the air entering the tower, and calculating the air density leaving the tower based on the dry-bulb temperature and the relative humidity of the air leaving the tower.

[0067] In the calculation of the air density into the tower, the pressure corresponding to the water vapor in the wet air needs to be determined first, which can be calculated by the average relative humidity of the air into the tower and the corresponding saturated steam pressure, that is, the product of the average relative humidity and the saturated steam pressure is used to obtain the water vapor pressure value reflecting the water vapor content in the air into the tower. Then, the atmospheric pressure collected in step 102, the water vapor pressure calculated above, and two fixed gas constants, the dry air gas constant with a value of 287.14 J / (kg·K) and the water vapor gas constant with a value of 461.53 J / (kg·K), are needed in the pre-designed formula for calculating the air density into the tower. At the same time, the average dry bulb temperature of the air into the tower calculated in step 102 needs to be converted into Kelvin temperature (Kelvin temperature is the sum of Celsius temperature and 273.15). Through the accurate substitution and calculation of various parameters, the air density into the tower is obtained, which can represent the overall mass characteristics of the air into the tower.

[0068] In the calculation of the air density into the tower, the pressure corresponding to the water vapor in the wet air needs to be determined first, which can be calculated by the average relative humidity of the air into the tower and the corresponding saturated steam pressure, that is, the product of the average relative humidity and the saturated steam pressure is used to obtain the water vapor pressure value reflecting the water vapor content in the air into the tower. Then, the atmospheric pressure collected in step 102, the water vapor pressure calculated above, and two fixed gas constants, the dry air gas constant with a value of 287.14 J / (kg·K) and the water vapor gas constant with a value of 461.53 J / (kg·K), are needed in the pre-designed formula for calculating the air density into the tower. At the same time, the average dry bulb temperature of the air into the tower calculated in step 102 needs to be converted into Kelvin temperature (Kelvin temperature is the sum of Celsius temperature and 273.15). Through the accurate substitution and calculation of various parameters, the air density into the tower is obtained, which can represent the overall mass characteristics of the air into the tower.

[0069] In step 104, based on the air density into the tower, the air density out of the tower and the flow rate data, the total resistance coefficient of the cooling tower is calculated.

[0070] The air density into the tower, the air density out of the tower and the effective draft height of the air cooling tower are substituted into the pre-designed formula for calculating the draft, and the specific value of the air cooling tower draft (unit: Pa) can be obtained, which is directly equivalent to the total resistance of the air cooling tower.

[0071] After the extraction of the draft (i.e. total resistance), the total resistance coefficient needs to be further calculated in combination with the out-tower air flow rate data and related parameters. First, the out-tower air flow rate of each measuring point obtained in step 101 is used to calculate the average out-tower air flow rate of the throat section by the arithmetic mean method, and then the throat section area is calculated according to the throat section radius (the formula for calculating the section area is "section area = π x throat section radius 2"). Subsequently, the dry air mass flow rate (unit: kg / s) is calculated according to the dry air mass flow rate calculation formula by substituting the throat section area, the average out-tower air flow rate, and the out-tower air density.

[0072] Finally, the total resistance of the air-cooled tower (total resistance), the dry air mass flow rate, the throat section area, the out-tower air density, and other parameters are substituted into the pre-designed formula for calculating the total resistance coefficient of the cooling tower, and the calculation of the total resistance coefficient is completed. During the calculation process, it is necessary to ensure that the units of each parameter are uniform (such as air density unit: kg / m 3 , flow rate unit: m / s, area unit: m 2 ), in order to ensure the accuracy of the calculation results. The obtained total resistance coefficient of the cooling tower can directly reflect the actual state of the resistance performance of the air-cooled tower, and provide core data support for subsequent air-cooled tower operation state monitoring and maintenance decision-making.

[0073] In some embodiments, the obtaining of the out-tower air dry-bulb temperature and flow rate data based on the pre-arranged measuring points comprises:

[0074] The distance of the measuring point from the tower center is calculated according to the formula ; wherein R is the throat section radius of the tower, k is the measuring point number, and n is the total number of equal-area ring measuring points.

[0075] The measuring points are arranged based on the calculated measuring point positions; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure the uniformity and representativeness of the air flow rate distribution of the throat section.

[0076] The distance of the measuring point from the tower center is calculated according to the formula ; wherein R represents the throat section radius of the tower, which is a basic reference for measuring the position of the measuring point and needs to be determined according to the actual structural design size of the indirect air-cooled tower; k represents the measuring point number from the tower center, which is sequentially taken as a value, and each number corresponds to a unique measuring point, ensuring that each measuring point has a clear position basis during the calculation process; n represents the total number of equal-area ring measuring points, and the value of n needs to be not less than 10, so that a sufficient number of measuring points can avoid the partiality of the data caused by insufficient measuring points, while meeting the core requirement of equal-area ring arrangement, i.e. the formula can divide the throat circular section into multiple ring-shaped areas with equal areas, so that the measuring points are uniformly distributed in different ring-shaped areas, ensuring that the air parameters of each area can be effectively collected.

[0077] After the distance calculation of the measuring points is completed, the measuring points need to be arranged at the specified positions according to the calculation results. The measuring points are specifically arranged on two mutually perpendicular diameters of the throat of the cooling tower. The throat is selected as the measuring point arrangement area because the air flow in the throat area is stable, the flow rate is uniform, and the interference of the external environment wind is small, which can minimize the influence of external factors on the measurement data. Arranging the measuring points along two mutually perpendicular diameters can comprehensively cover the throat circular section from two perpendicular directions, avoid local data deviation caused by single direction arrangement, further ensure the symmetry and uniformity of the distribution of the measuring points, and finally make the collected air dry bulb temperature and flow rate data of the outlet of the tower can truly and comprehensively reflect the air parameter state of the throat section, providing accurate and reliable original data support for subsequent calculation of the average temperature, average flow rate of the outlet air of the tower and derivation of the total resistance coefficient of the cooling tower.

[0078] In some embodiments, the collecting dry bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower, and calculating the average dry bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air entering the tower comprises:

[0079] The average dry bulb temperature of the air entering the tower is calculated by the formula ; wherein T k is the dry bulb temperature of the kth measuring point;

[0080] The average relative humidity is calculated based on ; wherein is the relative humidity of the kth measuring point;

[0081] The saturated vapor pressure is calculated according to the formula ; wherein T is the K-type temperature of the air entering the tower.

[0082] When collecting dry bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower and performing related calculations, the reasonable arrangement of the measuring points at the air inlet needs to be determined first: the measuring points need to be arranged at a horizontal distance of 1 m and a height of 1.5 m from the edge of the radiator, which can effectively avoid the interference of the radiator cooling process on the air parameters entering the cooling tower, and ensure that the real state of the ambient air before entering the cooling tower is collected. At the same time, 4 measuring points are uniformly arranged in the circumferential direction of the air inlet, and the representativeness of the original data for subsequent calculation of the average value is provided by covering multiple measuring points to reduce the randomness of single measuring point data. During the collection process, equipment that meets the accuracy requirements needs to be selected: the dry bulb temperature is measured by a thermometer with a resolution of not less than 0.2℃ and an instrument accuracy of not less than 0.5 level, the relative humidity is collected by a humidity meter with an accuracy of ±2%, and the atmospheric pressure is obtained by a pressure gauge with a resolution of 0.1 hPa. Strict control of the accuracy of the equipment is the basis for ensuring the accuracy of the data.

[0083] The average dry-bulb temperature of the air entering the tower is calculated by the formula "average dry-bulb temperature = 1 / 4 x (T1+T2+T3+T4)", wherein T k represents the dry-bulb temperature collected at the kth measuring point (k takes values from 1 to 4, corresponding to the 4 measuring points), and the arithmetic mean method is used to calculate the dry-bulb temperatures of the 4 measuring points, so as to eliminate the error caused by the temperature fluctuation in the local area and more accurately reflect the overall temperature level of the air entering the tower. The calculation logic of the average relative humidity of the air entering the tower is consistent with that of the average dry-bulb temperature, and the average relative humidity is obtained by the formula "average relative humidity = 1 / 4 x (φ1+φ2+φ3+φ4)", wherein φk represents the relative humidity at the kth measuring point, and the humidity data of the 4 measuring points are integrated by means of the arithmetic mean method, so as to ensure that the result can truly reflect the overall humidity condition of the air entering the tower.

[0084] The calculation of the saturated vapor pressure adopts the formula of Kille In the formula, T represents the Kille temperature (i.e. thermodynamic temperature) of the air entering the tower, and the value thereof is converted by adding 273.15 to the average dry-bulb temperature (in Celsius) of the air entering the tower calculated; 17.67 and 243.5 in the formula are inherent calculation coefficients of the Kille formula, and the Kille temperature after conversion is substituted into the formula to obtain the saturated vapor pressure of the air entering the tower at the corresponding temperature, and the pressure value unit is 10 5 Pa, which provides necessary basic data support for further calculation of the air density entering the tower and other key parameters.

[0085] In some embodiments, the calculation of the total resistance coefficient of the cooling tower based on the air density entering the tower, the air density leaving the tower and the flow rate data comprises:

[0086] The formula for calculating the total resistance coefficient is ΔP = ρ_{\text{in}}gH - ρ_{\text{out}}gH; wherein ρ_{\text{in}} is the air density entering the tower, ρ_{\text{out}} is the air density leaving the tower, g is the acceleration of gravity, and H is the effective draft height of the tower;

[0087] The industrial computer displays the total resistance coefficient of the cooling tower in real time, and compares the total resistance coefficient of the cooling tower with a resistance threshold value;

[0088] In response to the total resistance coefficient of the cooling tower being greater than or equal to the resistance threshold value, a warning signal is triggered.

[0089] When calculating the total resistance coefficient of the cooling tower, the principle of draft resistance balance should be taken as the core basis, that is, the total resistance of the air cooling tower is equal to the draft, and the draft is calculated by the formula ΔP = ρ in gH - ρ out gH. The parameters in the formula need to be determined in combination with the previous data and the tower structure: ρ in is the air density entering the tower calculated in the previous step, ρ out is the air density leaving the tower calculated at the same period, both of which reflect the mass characteristics of the air entering and leaving the cooling tower; g is the acceleration of gravity, which is a standard physical constant 9.8 m / s 2 , to ensure the uniformity of the calculation process; H is the effective draft height of the tower, specifically the vertical distance from the middle of the air cooler of the air cooling tower to the top of the tower, which needs to be determined according to the actual design size of the tower body, and needs to be measured according to the actual draft flow path of the air in the tower. When calculating, the values of ρ in and ρ out obtained in the previous step are combined with the measured value of H and the fixed value of g to obtain the draft ΔP by substituting them into the formula. Based on the balance between draft and resistance, this ΔP is the total resistance of the cooling tower, and the total resistance coefficient of the cooling tower can be derived to realize the accurate quantification of the resistance performance.

[0090] After the total resistance coefficient is calculated, real-time monitoring and abnormal warning need to be realized based on the industrial computer: the key parameters such as the air density entering the tower and the air density leaving the tower collected in the previous step are transmitted to the industrial computer in real time through the data acquisition card. The industrial computer automatically completes the real-time calculation of the total resistance coefficient according to the above formula and displays the coefficient in a clear and intuitive form, so that the staff can master the dynamic changes of the resistance performance of the air cooling tower in real time. At the same time, the industrial computer will continuously compare the real-time total resistance coefficient with the preset resistance threshold, which needs to be set in combination with the design operation parameters of the air cooling tower, the cooling efficiency requirements and the operation and maintenance experience, and is used to divide the boundary between normal and abnormal resistance. When the real-time total resistance coefficient is greater than or equal to the preset threshold, it means that the resistance of the air cooling tower has exceeded the normal operating range, which may be caused by problems such as increased dust accumulation on the radiator, reduced fin pitch, etc., leading to decreased cooling efficiency. At this time, the industrial computer will automatically trigger a warning signal, which can be presented through sound and light prompts, system pop-up windows, etc., to remind the staff to intervene and handle, such as carrying out maintenance operations such as radiator cleaning, to ensure the stable and efficient operation of the air cooling tower.

[0091] In some embodiments, the method further comprises:

[0092] According to the air flow rate of the cooling tower and the cross-sectional area of the cooling tower, the mass flow rate of the air in the tower is calculated;

[0093] Based on the mass flow rate and the area of the windward surface of the radiator, the mass flow rate density of the windward surface of the radiator is calculated.

[0094] In calculating the mass flow of the tower air, the acquisition and calculation logic of the core parameters need to be determined first: the out-tower air flow rate is determined based on the data of the pre-arranged measuring points in the throat of the cooling tower, and the average flow rate of the out-tower air in the throat section is obtained by performing an arithmetic average operation on the out-tower air flow rates collected by each measuring point, which can eliminate the influence of the flow rate fluctuation of a single measuring point and accurately reflect the overall speed level of the air flow in the throat region; the cross-sectional area of the cooling tower refers to the throat cross-sectional area, and since the throat cross-sectional area is circular, the area is calculated by "throat cross-sectional area = π x throat radius 2", wherein the throat radius needs to be determined according to the actual structural design size of the air cooling tower to ensure that the area parameter is completely matched with the actual structure of the tower body. Then, the mass flow of the out-tower air is calculated according to the formula "out-tower air mass flow = out-tower air density x throat cross-sectional area x throat cross-sectional average out-tower air flow rate", which represents the air mass passing through the throat of the cooling tower per unit time and is a key indicator for quantifying the air flow in the tower.

[0095] After obtaining the out-tower air mass flow, the mass flow density of the radiator windward surface is further calculated: wherein the radiator windward surface area refers to the effective cross-sectional area of the radiator perpendicular to the air flow direction when the air flows through the radiator, which needs to be accurately determined according to the installation layout, structural size and other design parameters of the air cooling tower radiator, and is directly related to the effective ventilation range of the air and the radiator; the mass flow density of the radiator windward surface is calculated by "radiator windward surface mass flow density = out-tower air mass flow ÷ radiator windward surface area", and its unit is kg / (㎡·s). This parameter can directly reflect the air mass passing through the unit area of the radiator windward surface, and can effectively evaluate the ventilation load of the radiator. If the parameter changes abnormally, it can assist in judging whether the ventilation is blocked due to problems such as increased dust accumulation and reduced fin pitch, thereby providing important data support for the subsequent accurate monitoring of the resistance performance of the air cooling tower and the development of operation and maintenance schemes.

[0096] Corresponding to the above-mentioned resistance performance monitoring method, the present application also provides a resistance performance monitoring device. Since the device embodiments of the present application correspond to the above-mentioned method embodiments, the details not disclosed in the device embodiments can be referred to the above-mentioned method embodiments, which will not be described herein again.

[0097] Figure 2 A structural schematic diagram of a resistance performance monitoring device provided by the embodiments of the present application is shown in Figure 2 , which comprises:

[0098] The acquisition unit 21 is configured to acquire the out-tower air dry-bulb temperature and flow rate data based on the pre-arranged measuring points.

[0099] The first calculation unit 22 is used to collect dry bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower, and to calculate the average dry bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air entering the tower.

[0100] The second calculation unit 23 is used to calculate the density of the air entering the tower based on a preset formula according to the dry-bulb temperature of the air exiting the tower and the relative humidity, and to calculate the density of the air exiting the tower based on the dry-bulb temperature of the air exiting the tower and the relative humidity.

[0101] The third calculation unit 24 is used to calculate the total resistance coefficient of the cooling tower based on the inlet air density, the outlet air density and the flow velocity data.

[0102] Furthermore, in one possible implementation of this disclosure, the acquisition unit 21 is further configured to:

[0103] Based on distance according to formula Calculate the distance between the measuring point and the center of the tower; where R is the radius of the tower throat, k is the measuring point number, and n is the total number of measuring points in the equal area ring.

[0104] The measuring points are arranged based on the calculated locations; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure the uniformity and representativeness of the air velocity distribution in the throat section.

[0105] Furthermore, in one possible implementation of this disclosure embodiment, the first computing unit 22 is used for:

[0106] The dry-bulb temperature of the inlet air is determined by the formula... Calculated; where T k Let K be the dry-bulb temperature at the k-th measuring point;

[0107] The average relative humidity is based on Calculated; where Let K be the relative humidity at the k-th measuring point.

[0108] The saturated vapor pressure is according to the Gilly formula. Calculate, where T is the K temperature of the air entering the tower.

[0109] Furthermore, in one possible implementation of this disclosure, the third computing unit 24 is further configured to:

[0110] The formula for calculating the total resistance coefficient is ΔP=ρ_{\text{in}}gH-ρ_{\text{out}}gH; where ρ_{\text{in}} is the air density entering the tower, ρ_{\text{out}} is the air density exiting the tower, g is the acceleration due to gravity, and H is the effective exhaust height of the tower;

[0111] The industrial computer displays the total resistance coefficient of the cooling tower in real time, and compares the total resistance coefficient of the cooling tower with a resistance threshold value;

[0112] In response to the total resistance coefficient of the cooling tower being greater than or equal to the resistance threshold value, a pre-warning signal is triggered.

[0113] Further, in a possible implementation manner of the embodiment of the present disclosure, as shown in Figure 3 The apparatus further comprises:

[0114] The fourth calculation unit 25 is configured to calculate the mass flow rate of the tower air according to the flow rate of the air out of the cooling tower and the cross-sectional area of the cooling tower.

[0115] The fifth calculation unit 26 is configured to calculate the mass flow rate density of the windward surface of the radiator based on the mass flow rate and the area of the windward surface of the radiator.

[0116] It should be noted that the foregoing explanation and description of the method embodiment are also applicable to the apparatus of the embodiment of the present disclosure, and the principle is the same, which is not limited in the embodiment of the present disclosure.

[0117] According to the embodiment of the present disclosure, the present disclosure further provides an electronic device, a readable storage medium and a computer program product.

[0118] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present disclosure described and / or claimed in this document.

[0119] As Figure 4As shown, the device 300 includes a computing unit 301 that can perform various appropriate actions and processes in accordance with a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded into a RAM (Random Access Memory) 303 from a storage unit 308. Various programs and data required for the operation of the device 300 can also be stored in the RAM 303. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0120] Various components in the device 300 are connected to the I / O interface 305, including an input unit 306 such as a keyboard, a mouse, and the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, and the like; and a communication unit 309 such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0121] The computing unit 301 can be various general and / or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Unit), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, and the like. The computing unit 301 performs various methods and processes described above, such as the resistance performance monitoring method. For example, in some embodiments, the resistance performance monitoring method can be implemented as a computer software program that is tangibly embodied in a machine-readable medium, such as the storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 301 can be configured to perform the aforementioned resistance performance monitoring method by any other appropriate means (e.g., by means of firmware).

[0122] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a Field Programmable Gate Array (FPGA), an Application-Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a System on a Chip (SOC), a Complex Programmable Logic Device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0123] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general or special purpose computer, such that the program code, when executed by the processor or controller, causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0124] In the context of this disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium would include a linearly-programmed electrical connection, a portable computer diskette, a hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory), or flash memory, an optical fiber, a CD-ROM (Compact Disc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0125] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0126] The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, and a blockchain network.

[0127] The computer system can include clients and servers. This relationship can be between a client and a server that are typically remote from each other and typically interact through a communication network. The relationship between client and server exists by virtue of computer programs running on the respective computer systems and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS (Virtual Private Server, or VPS for short). The server can also be a server of a distributed system, or a server combined with a blockchain.

[0128] It should be noted that artificial intelligence is a discipline that studies enabling computers to simulate some thinking processes and intelligent behaviors of humans (such as learning, reasoning, thinking, planning, etc.), both hardware and software technologies. Artificial intelligence hardware technology generally includes technologies such as sensors, special artificial intelligence chips, cloud computing, distributed storage, big data processing, etc.; artificial intelligence software technology mainly includes computer vision technology, speech recognition technology, natural language processing technology, and machine learning / deep learning, big data processing technology, knowledge graph technology, etc. several major directions.

[0129] It should be understood that the various forms of the flow shown above can be used to reorder, add or delete steps. For example, each step described in the present disclosure can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, which is not limited herein.

[0130] The above detailed description does not constitute a limitation on the scope of protection of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present disclosure shall be included in the scope of protection of the present disclosure.

Claims

1. A method of monitoring resistance performance, characterized by, The method comprises the following steps: Based on the pre-arranged measuring points, the dry-bulb temperature and flow rate data of the air out of the tower are obtained; The dry-bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower are collected, and the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air into the tower are calculated; According to the dry-bulb temperature and relative humidity of the air out of the tower, the density of the air into the tower is calculated based on a preset formula, and the density of the air out of the tower is calculated based on the dry-bulb temperature and relative humidity of the air out of the tower; Based on the density of the air into the tower, the density of the air out of the tower and the flow rate data, the total resistance coefficient of the cooling tower is calculated.

2. The method of claim 1, wherein, The method comprises the following steps: The distance between the measuring point and the tower center is calculated according to the formula The distance between the measuring point and the tower center is calculated according to the formula wherein R is the tower throat radius, k is the measuring point number, and n is the total number of equal-area ring measuring points. Based on the calculated measuring point position, the measuring points are arranged; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure the uniformity and representativeness of the air flow rate distribution of the throat section.

3. The method of claim 1, wherein, The method comprises the following steps: The dry bulb temperature of the air entering the tower is calculated by the formula where T k is the dry bulb temperature at the kth measurement point. The average value of the relative humidity is based on calculated; wherein is the relative humidity at the kth measurement point; The saturated vapor pressure follows the Clapeiron equation where T is the Kelt temperature of the air entering the column.

4. The method of claim 1, wherein, The method comprises the following steps: The method comprises the following steps: The formula for calculating the total resistance coefficient is ΔP = ρ_{\text{in}}gH - ρ_{\text{out}}gH; wherein ρ_{\text{in}} is the density of the air into the tower, ρ_{\text{out}} is the density of the air out of the tower, g is the acceleration of gravity, and H is the effective draft height of the tower; The industrial computer displays the total resistance coefficient of the cooling tower in real time, and compares the total resistance coefficient of the cooling tower with a resistance threshold value; 5. The method of claim 1, wherein, In response to the total resistance coefficient of the cooling tower being greater than or equal to the resistance threshold value, a warning signal is triggered. The method further comprises the following steps: According to the air flow rate out of the cooling tower and the cross-sectional area of the cooling tower, the mass flow rate of the air out of the tower is calculated; 6. A resistance performance monitoring device, characterized by, Based on the mass flow rate and the area of the windward surface of the radiator, the mass flow rate density of the windward surface of the radiator is calculated. The method comprises the following steps: An obtaining unit is configured to obtain the dry-bulb temperature and flow rate data of the air out of the tower based on pre-arranged measuring points; A first calculating unit is configured to collect the dry-bulb temperature, relative humidity and atmospheric pressure data at the air inlet of the cooling tower, and calculate the average dry-bulb temperature, average relative humidity and corresponding saturated vapor pressure of the air into the tower; A second calculating unit is configured to calculate the density of the air into the tower based on a preset formula according to the dry-bulb temperature and relative humidity of the air out of the tower, and calculate the density of the air out of the tower based on the dry-bulb temperature and relative humidity of the air out of the tower; 7. The apparatus of claim 6, wherein, A third calculating unit is configured to calculate the total resistance coefficient of the cooling tower based on the density of the air into the tower, the density of the air out of the tower and the flow rate data. The distance between the measuring point and the tower center is calculated according to the formula The distance between the measuring point and the tower center is calculated according to the formula Rk = R * sqrt (k / n) The obtaining unit is further configured to:

8. An electronic device, comprising: Based on the calculated measuring point position, the measuring points are arranged; wherein the measuring points are arranged on two mutually perpendicular diameters to ensure the uniformity and representativeness of the air flow rate distribution of the throat section. The method comprises the following steps: At least one processor; and a memory connected in communication with the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

9. A non-transitory computer-readable storage medium having stored thereon computer instructions, wherein, The computer instructions are for causing the computer to perform the method of any one of claims 1-5.

10. A computer program product, characterised in that, A computer program comprising instructions which, when executed by a processor, implement the method of any one of claims 1-5.

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