Intelligent box-type substation ventilation system

Abstract

The application discloses an intelligent box-type transformer substation ventilation system, and relates to the field of intelligent box-type transformer substation ventilation, comprising a data acquisition module, a transformer substation external environment analysis module, a transformer substation function room analysis module, an environment grade analysis module, a ventilation system matching module, a ventilation verification and early warning module, a display terminal and a database. Through analysis of collected box-type transformer substation external environment parameters, box-type transformer substation function room index parameters and function room internal environment parameters, a first ventilation demand set, a second ventilation demand set, a third ventilation demand set, a fourth ventilation demand set and ventilation demand set corresponding ventilation system adjustment measures are obtained. Through statistical analysis of function room equipment performance related parameters, when the ventilation system adjustment feedback signal is obtained, various factors can be comprehensively considered for adjustment of the ventilation system, operation cost of the transformer substation is saved, equipment failure rate is reduced, and the ventilation system adjustment can be verified.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent box-type substation ventilation, in particular to an intelligent box-type substation ventilation system. BACKGROUND

[0002] With the continuous development of society and the continuous progress of science and technology, the demand for electricity is increasing, and the scale of power grid is continuously increasing. As an important part of the power grid, box-type substations are also increasing, but the ventilation problem of box-type substations has also emerged. How to solve the ventilation problem is also an important concern of the current power grid development. The intelligent box-type substation ventilation system emerges as the times require.

[0003] When the traditional intelligent box-type substation ventilation system is in operation, it cannot consider the changes of external factors of the substation, the changes of different characteristics of each functional room of the substation, and the environmental factors of the work in each functional room of the substation. It cannot adjust the ventilation system for special conditions, resulting in a lot of resource waste and increasing the situation of box-type substation equipment failure.

[0004] When the traditional intelligent box-type substation ventilation system is in operation, it cannot monitor and evaluate the operation of the ventilation system, so that the operating personnel cannot timely detect abnormal conditions, which further aggravates the occurrence of box-type substation equipment operation failure.

[0005] In order to solve the above defects, a technical scheme is provided. SUMMARY

[0006] In order to solve the technical problems proposed in the above background, the present application is proposed. The embodiments of the present application provide an intelligent box-type substation ventilation system.

[0007] The purpose of the present application can be achieved by the following technical scheme:

[0008] An intelligent box-type substation ventilation system, comprising a data acquisition module, a substation external environment analysis module, a substation functional room analysis module, an environmental grade analysis module, a ventilation system matching module, a ventilation verification and early warning module, a display terminal and a database.

[0009] The substation external environment analysis module is used for receiving the external environmental parameters of the box-type substation, analyzing and determining them, obtaining the initial assignment of the external environment of the box-type substation, and sending them to the environmental grade analysis module;

[0010] The substation functional room analysis module is used for receiving the functional room index parameters of the box-type substation, analyzing and determining them, obtaining the additional assignment of the functional room of the box-type substation, and sending them to the environmental grade analysis module;

[0011] The environment grade analysis module is configured to receive and statistically analyze the functional room indoor environment parameters to obtain functional room indoor environment additional assignment, and to determine and analyze the box-type substation external environment initial assignment, the box-type substation functional room additional assignment and the functional room indoor environment additional assignment to obtain a ventilation demand set, and send the ventilation demand set to the ventilation system matching module.

[0012] The ventilation system matching module is configured to receive and determine and analyze the ventilation demand set.

[0013] The ventilation verification and early warning module is configured to analyze the functional room equipment performance related parameters after the ventilation system is adjusted.

[0014] Further, the specific analysis method of the box-type substation external environment initial assignment is as follows:

[0015] The maximum and minimum daily temperature values of the region where the box-type substation is located are obtained, and the points are plotted in the same coordinate system with time as the horizontal axis and the maximum and minimum daily temperature values as the vertical axis. The starting point minimum value and the maximum value are connected, and the ending point minimum value and the maximum value are connected. The area value of the closed region formed is marked as ZS, and the peak parameters of the maximum and minimum values in the coordinate graph are extracted, including peak height, peak area and peak width, marked as FG, FM and FK respectively. According to the set formula The temperature characteristic value WT corresponding to the temperature peak is obtained, a1, a2 and a3 are respectively represented as the set influence factor, and the size is self-defined. The temperature characteristic value is compared and analyzed with the set temperature characteristic value interval. When the temperature characteristic value is greater than the maximum value of the set temperature characteristic value interval, it corresponds to a high temperature peak. When the temperature characteristic value is in the set temperature characteristic value interval, it corresponds to a moderate temperature peak. When the temperature characteristic value is less than the minimum value of the set temperature characteristic value interval, it corresponds to a low temperature peak. The number of high, moderate and low temperature peaks of the maximum value is respectively marked as GGS, GZS and GDS. The number of high, moderate and low temperature peaks of the minimum value is respectively marked as DGS, DZS and DDS. According to the set formula The box-type substation region temperature index XBW is obtained, b1, b2, b3, b4 and b5 are respectively represented as the set influence factor.

[0016] A circle is drawn with the location of the box-type substation as the center and a certain distance, which can be 10m or 20m. The number of all obstacles ZS and the height of the obstacles ZG within the circle are obtained. The specific obstacles can be buildings, large trees, etc. The obstacle number ZS and the obstacle height ZG are normalized and substituted into the set formula The box-type substation material influence coefficient WY is obtained, and c1 and c2 are respectively represented as set influence factors; the number of wind direction changes in a period of time at the position of the box-type substation is obtained, and the specific period of time can be one month; the wind direction frequency value is obtained by dividing the number of wind direction changes by the corresponding period of time; the wind speed in a period of time is obtained; the difference between the maximum wind speed and the minimum wind speed is taken as the range value of the wind speed; the wind direction frequency value and the range value of the wind speed are weighted and calculated, and multiplied by the corresponding proportion factor to obtain the wind change value FZ of the box-type substation; the air quality index in a period of time at the position of the box-type substation is obtained, and compared with the set air quality index; when the air quality index is greater than the set air quality index, it is a high-quality air quality period; when the air quality index is equal to the set air quality index, it is a qualified air quality period; the interval length of adjacent high-quality air quality periods and the interval length of adjacent qualified air quality periods are obtained, and the sum is respectively calculated to obtain the total interval length of high-quality periods and the total interval length of qualified periods; the weighted calculation is performed, and the corresponding proportion factor is multiplied to obtain the air quality interval value KG of the box-type substation.

[0017] The corresponding values of the box-type substation material influence coefficient WY, the wind change value FZ of the box-type substation and the air quality interval value KG of the box-type substation are converted into lengths according to a certain proportion; a circular truncated cone is constructed with the length of the box-type substation material influence coefficient WY as the diameter of the bottom circle, the length of the wind change value FZ of the box-type substation as the diameter of the equal circle and the length of the air quality interval value KG of the box-type substation as the height of the circular truncated cone; the corresponding value of the box-type substation area temperature index XBW is converted into a length according to a certain proportion, and a sphere is constructed with the length of the box-type substation area temperature index XBW as the radius, and the center of the sphere coincides with the center of the top surface of the circular truncated cone; the volume of the non-coincident abnormal circular truncated cone sphere is extracted and marked as the box-type substation external environment abnormal value;

[0018] A first reference threshold DZ1 of the box-type substation external environment abnormal value is set, and each box-type substation external environment abnormal value is compared and analyzed with the preset first reference threshold DZ1; when the box-type substation external environment abnormal value is less than the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is X1 points; when the box-type substation external environment abnormal value is equal to the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is X2 points; when the box-type substation external environment abnormal value is greater than the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is X3 points, wherein X3≥X2≥X1.

[0019] Further, the specific analysis method of the additional assignment of the box-type substation functional room is:

[0020] Obtain the load amount of the functional room equipment of the box-type substation in a period of time, obtain the equipment load over-set ratio of the functional room, and count it as FZ;

[0021] Obtain the temperature abnormal value WZ of each equipment in the functional room through the temperature sensor;

[0022] Correspond the equipment temperature abnormal value to the time coordinate system, compare and analyze it with the set equipment temperature abnormal value interval, when the equipment temperature abnormal value is greater than the maximum value of the equipment temperature abnormal value interval, it corresponds to a first temperature abnormality, when the equipment temperature abnormal value is in the equipment temperature abnormal value interval, it corresponds to a second temperature abnormality, when the equipment temperature abnormal value is less than the minimum value of the equipment temperature abnormal value interval, it corresponds to a third temperature abnormality, obtain the interval length of the first temperature abnormality and the interval length of the second temperature abnormality, and statistically sum up to obtain the total interval length YJ of the first temperature abnormality and the total interval length EJ of the second temperature abnormality, obtain the time length of the first temperature abnormality, the second temperature abnormality and the third temperature abnormality, respectively YY, EY, SY, according to the set formula Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0023] Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0024] Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0025] Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0026] Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0027] Obtain the equipment temperature aging coefficient WL, wherein e4 and e5 are both preset weight factors, and sigma is a preset correction factor;

[0028] A second reference threshold DZ2 of the functional room index value of the box-type substation is set, and each functional room index value of the box-type substation is compared and analyzed with the preset first reference threshold DZ2; when the functional room index value of the box-type substation is less than the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y1 points; when the functional room index value of the box-type substation is equal to the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y2 points; when the functional room index value of the box-type substation is greater than the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y3 points, wherein Y3≥Y2≥Y1.

[0029] Further, the specific analysis method of the additional assignment of the functional room environment is:

[0030] The temperature, humidity, and gas concentration in the functional room are monitored to obtain a bias value; the dust concentration in the functional room is measured by light scattering method to obtain a gray value; the bias value and the gray value are converted into numerical values in a certain proportion, and the length of the bias value and the gray value is respectively taken as the base and the height of a parallelogram to construct a parallelogram, and the perimeter of the parallelogram is extracted as the functional room environment state value GHY.

[0031] A third reference threshold DZ3 of the functional room environment state value is set, and each functional room environment state value is compared and analyzed with the preset third reference threshold DZ3; when the functional room environment state value is less than the preset third reference threshold DZ3, the corresponding functional room environment is additionally assigned Z1 points; when the functional room environment state value is equal to the preset third reference threshold DZ3, the functional room environment is additionally assigned Z2 points; when the functional room environment state value is greater than the preset third reference threshold DZ3, the corresponding functional room environment is additionally assigned Z3 points, wherein Z3≥Z2≥Z1.

[0032] Further, the specific analysis method of the ventilation demand set is:

[0033] The score value of each box-type substation external environment data item, the score value of the box-type substation function room index value data item, and the score value of the function room internal environment state value data item are added to obtain the total score value of each box-type substation function room. According to the total score value, the box-type substation function rooms are classified into different levels. When the total score value is X3+Y3+Z3 or X2+Y3+Z3 or X3+Y2+Z3 or X3+Y3+Z2, the corresponding substation function room is classified into a first-level ventilation demand set A1. When the total score value is X2+Y2+X2 or X1+Y3+X2 or X3+Y1+X2 or X2+Y1+X3 or X1+Y2+X3 or X2+Y2+Z1 or X1+Y2+Z2 or X2+Y1+Z2, the corresponding substation function room is classified into a second-level ventilation demand set A2. When the total score value is X2+Y1+Z1 or X1+Y2+Z1 or X1+Y1+Z2, the corresponding substation function room is classified into a third-level ventilation demand set A3. When the total score value is X1+Y1+Z1, the corresponding substation function room is classified into a fourth-level ventilation demand set A4.

[0034] The obtained first-level ventilation demand set A1, second-level ventilation demand set A2, third-level ventilation demand set A3, and fourth-level ventilation demand set A4 are sent to a ventilation system matching module.

[0035] Further, the specific analysis method of the ventilation demand set determination and analysis is as follows:

[0036] If the substation function room is in the fourth-level ventilation demand set A4, the ventilation system adjusts natural ventilation, and sets an air inlet and an air outlet. If the substation function room is in the third-level ventilation demand set A3, the ventilation system adjusts mechanical ventilation. If the substation function room is in the second-level ventilation demand set A2, the ventilation system adjusts intelligent ventilation, and corresponds to n1 gears. If the substation function room is in the first-level ventilation demand set A1, the ventilation system adjusts intelligent ventilation, and corresponds to n2 gears, where n2≥n1.

[0037] Further, the specific analysis method of the function room equipment performance related parameter statistical analysis is as follows:

[0038] The noise value is analyzed to obtain a noise abnormality value ZY, and the equipment failure rate SG is analyzed to obtain an equipment abnormality value SY.

[0039] The equipment abnormality value is compared with a set comparison threshold YY1. When the equipment abnormality value is greater than the set comparison threshold YY1, a ventilation system adjustment negative feedback signal is generated. Otherwise, when the equipment abnormality value is less than or equal to the set comparison threshold YY1, a ventilation system adjustment positive feedback signal is generated.

[0040] When the ventilation system adjusts the positive feedback signal, and the "box substation has been better ventilation" text description is sent to the display terminal for display.

[0041] When the ventilation system adjusts the negative feedback signal, and the "box substation has not been better ventilation" text description is sent to the display terminal for display.

[0042] Compared with the prior art, the beneficial effects of the present application are:

[0043] 1、 The present application receives the environmental parameters of the box substation, the functional room index parameters of the box substation, and the environmental parameters in the functional room, and analyzes them to obtain the first ventilation demand set, the second ventilation demand set, the third ventilation demand set, the fourth ventilation demand set, and the ventilation demand set corresponding to the ventilation system adjustment measures. The present application considers the changes of the external factors of the substation, the changes of the characteristics of each functional room of the substation, and the environmental factors in the functional room of the substation, can adjust the ventilation for special conditions, reduces the waste of resources, reduces the failure of the equipment of the box substation, and saves the operation cost of the substation.

[0044] 2、 The present application obtains the abnormal value of the equipment by statistical analysis of the performance-related parameters of the functional room equipment, compares the abnormal value of the equipment with the set comparison threshold, obtains the feedback signal of the ventilation system adjustment, can monitor and evaluate the operating ventilation system, detects abnormal conditions in time, further reduces the occurrence of equipment operation failure of the box substation, and provides a solid foundation for the normal operation of the box substation. DETAILED DESCRIPTION

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. The following drawings are not deliberately drawn according to the actual size, and the emphasis is on showing the main idea of the present application.

[0046] Figure 1 The system block diagram of the present application is shown in the figure.

[0047] Figure 2 The temperature change curve is shown in the figure.

[0048] Figure 3 The equipment temperature change graph is shown in the figure. DETAILED DESCRIPTION

[0049] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative effort belong to the protection scope of the present application.

[0050] As shown in Figure 1 , an intelligent box-type substation ventilation system comprises a data acquisition module, a substation external environment analysis module, a substation functional room analysis module, an environment grade analysis module, a ventilation system matching module, a ventilation verification and early warning module, a display terminal and a database.

[0051] The data acquisition module is used to acquire the box-type substation external environment parameters, the box-type substation functional room index parameters, the functional room internal environment parameters and the functional room equipment performance related parameters, and send them to the substation external environment analysis module, the substation functional room analysis module, the environment grade analysis module and the ventilation verification and early warning module. The acquisition of the box-type substation external environment parameters includes the daily maximum and minimum air temperature, the number of obstacles and the height of obstacles in the region where the box-type substation is located in a year; the box-type substation functional room index parameters include the load of the box-type substation functional room equipment, the temperature value of each device in the functional room monitored by the temperature sensor, the total space size VG of each functional room of the box-type substation and the total volume occupied by each functional room equipment; the functional room internal environment parameters include the temperature, humidity and gas concentration in the functional room; and the functional room equipment performance related parameters include the equipment noise value and the number of faults of the substation functional room equipment in a period of time.

[0052] The substation external environment analysis module is used to receive the box-type substation external environment parameters, analyze and determine them, obtain the initial assignment of the external environment of the box-type substation, and send it to the environment grade analysis module. The specific analysis is as follows:

[0053] The daily maximum and minimum air temperature in the region where the box-type substation is located in a year is obtained, as shown in Figure 2 , taking time as the horizontal axis and the daily maximum and minimum air temperature as the vertical axis, the points are drawn in the same coordinate system, and the starting point minimum value and the maximum value are connected, and the ending point minimum value and the maximum value are connected. The area value of the closed region formed is marked as ZS, and the peak parameters of the maximum value and the minimum value peak in the coordinate graph are extracted, wherein the peak parameters include the peak height, the peak area and the peak width, which are respectively marked as FG, FM and FK. According to the set formula The temperature characteristic value WT corresponding to the temperature peak is obtained, and a1, a2 and a3 are respectively represented as set influence factors, the size of which is self-defined setting, and the values are respectively 1.11, 1.12 and 1.14. The temperature characteristic value is compared and analyzed with the set temperature characteristic value interval. When the temperature characteristic value is greater than the maximum value of the set temperature characteristic value interval, it corresponds to a high temperature peak. When the temperature characteristic value is equal to the set temperature characteristic value interval, it corresponds to a moderate temperature peak. When the temperature characteristic value is less than the minimum value of the set temperature characteristic value interval, it corresponds to a low temperature peak. The number of the highest value of the high temperature peak, the moderate temperature peak and the low temperature peak is respectively counted and marked as GGS, GZS and GDS. The number of the lowest value of the high temperature peak, the moderate temperature peak and the low temperature peak is respectively counted and marked as DGS, DZS and DDS. The wind change value FZ of the box-type substation is obtained according to the set formula The box-type substation area temperature index XBW is obtained, and b1, b2, b3, b4 and b5 are respectively represented as set influence factors, the size of which is self-defined setting, and the values are respectively 1.1, 1.5, 1.3, 1.2 and 1.4.

[0054] A circle is drawn with the position of the box-type substation as the center and a certain distance, and the specific certain distance can be 10m or 20m. The number ZS and the height ZG of all obstacles in the circle are obtained. The specific obstacles can be buildings, large trees and the like. The obstacle number ZS and the obstacle height ZG are normalized and processed and substituted into the set formula The box-type substation material influence coefficient WY is obtained, and c1 and c2 are respectively represented as set influence factors, the size of which is self-defined setting, and the values are respectively 1.11 and 1.15. The number of wind direction changes in a period of time at the position of the box-type substation is obtained. The specific period of time can be one month. The wind direction frequency value is obtained by dividing the number of wind direction changes by the corresponding period of time. The wind speed in a period of time is obtained. The difference between the maximum wind speed and the minimum wind speed is obtained to obtain the range value of the wind speed. The wind direction frequency value and the range value of the wind speed are weighted and calculated, and multiplied by the corresponding proportion factor to obtain the wind change value FZ of the box-type substation. The air quality index in a period of time at the position of the box-type substation is obtained. When the air quality index is greater than the set air quality index, it is an excellent air quality period. When the air quality index is equal to the set air quality index, it is a qualified air quality period. The interval length of adjacent excellent air quality periods and the interval length of adjacent qualified air quality periods are obtained, and the sum is respectively calculated to obtain the total interval length of the excellent period and the total interval length of the qualified period. The weighted calculation is performed, and the corresponding proportion factor is multiplied to obtain the air quality interval value KG of the box-type substation.

[0055] The numerical values corresponding to the box-type substation material influence coefficient WY, the wind variation value FZ of the box-type substation and the air separation value KG of the box-type substation are converted into lengths according to a certain proportion; a circular truncated cone is constructed with the length of the box-type substation material influence coefficient WY as the diameter of the bottom circle of the circular truncated cone, the length of the wind variation value FZ of the box-type substation as the diameter of the equal circle of the circular truncated cone and the length of the air separation value KG of the box-type substation as the height of the circular truncated cone; the numerical value corresponding to the box-type substation region temperature index XBW is converted into a length according to a certain proportion, and a sphere is constructed with the length of the box-type substation region temperature index XBW as the radius, and the center of the sphere coincides with the center of the top surface of the circular truncated cone; the volume of the non-coincident abnormal circular truncated cone sphere is extracted and marked as the box-type substation external environment abnormal value.

[0056] A first reference threshold DZ1 of the box-type substation external environment abnormal value is set, and each box-type substation external environment abnormal value is compared and analyzed with the preset first reference threshold DZ1; when the box-type substation external environment abnormal value is less than the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is assigned as X1 points; when the box-type substation external environment abnormal value is equal to the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is assigned as X2 points; when the box-type substation external environment abnormal value is greater than the preset first reference threshold DZ1, the initial value of the corresponding box-type substation external environment is assigned as X3 points, wherein X3≥X2≥X1;

[0057] The substation function room analysis module is used to receive the box-type substation function room index parameters, and to determine and analyze to obtain the box-type substation function room additional assignment, and to send it to the environment level analysis module. The specific analysis is as follows:

[0058] The load amount of the box-type substation function room equipment in a period of time is obtained, the period of time is divided into a plurality of sub-time periods, the sub-time periods according to the acquisition time are sorted, the difference value of the adjacent load amount is calculated, the load amount sorted later is subtracted from the load amount sorted earlier to obtain the sub-load difference value, the sub-load difference value is summed to calculate the sub-total load difference value, the load amount sorted later is greater than the load amount sorted earlier is counted and summed to obtain the sub-total high load value difference, the load amount sorted later is less than the load amount sorted earlier is counted and summed to obtain the sub-total low load value difference, the sub-total load difference value, the sub-total high load value difference and the sub-total low load value difference are weighted and calculated, respectively multiplied by the corresponding weight factor to obtain the box-type substation function room equipment load trend value, the equipment load trend value is compared and analyzed with the set reference load trend value interval, the number of equipment load trend values greater than the set maximum value of the equipment load trend value interval is counted, and the total number of function room equipment is divided to obtain the equipment load exceeding the set proportion value of the function room, which is FZ.

[0059] The temperature values of each device in the function room are monitored through a temperature sensor, such asFigure 3 As shown in the figure, the time is taken as the horizontal axis, the temperature value is taken as the vertical axis, the temperature value corresponding to each monitoring time point is plotted on the coordinate system, denoted as Wi, i is the number of monitoring time, i=1, 2, 3, 4…, I, I is the maximum value of the monitoring time number, the maximum temperature value point and the minimum temperature value point in the coordinate system are connected, the vertical line of the connecting line of the coordinate points of the temperature values corresponding to each monitoring time in the coordinate system is drawn, and the distance between each coordinate point and the vertical line is taken. When the coordinate point is located above the maximum value and the minimum value, it is denoted as the first vertical distance CYi, and when the coordinate point is located below the maximum value and the minimum value, it is denoted as the second vertical distance CEi; according to the set formula The temperature abnormal value WZ is calculated; wherein e1, e2 and e3 are respectively set proportional coefficients, the size is self-defined setting, the values are respectively 3.11, 2.91 and 1.12, W1 is the reference temperature variance of the equipment, W2 is the reference temperature first vertical distance of the equipment, and W3 is the reference temperature second vertical distance of the equipment, is the average value of the temperature corresponding to different monitoring time;

[0060] The equipment temperature abnormal value is corresponded to the time coordinate system and compared with the set equipment temperature abnormal value interval for analysis. When the equipment temperature abnormal value is greater than the maximum value of the equipment temperature abnormal value interval, it corresponds to a first temperature abnormality, when the equipment temperature abnormal value is located in the equipment temperature abnormal value interval, it corresponds to a second temperature abnormality, and when the equipment temperature abnormal value is less than the minimum value of the equipment temperature abnormal value interval, it corresponds to a third temperature abnormality. The interval length of the first temperature abnormality and the interval length of the second temperature abnormality are obtained, and the total interval length YJ of the first temperature abnormality and the total interval length EJ of the second temperature abnormality are summed and obtained. The length of the first temperature abnormality, the second temperature abnormality and the third temperature abnormality is counted as YY, EY and SY respectively, and the set formula The equipment temperature aging coefficient WL is obtained, wherein e4 and e5 are both preset weight factors, and σ is a preset correction factor, the size is self-defined setting, the values are respectively 1.1, 2.21 and 2.12.

[0061] The temperature abnormal value WZ and the equipment temperature aging coefficient WL are normalized and substituted into the set formula The deviation index value SP of the equipment is obtained, wherein e6 and e7 are respectively set proportional coefficients, the size is self-defined setting, the values are respectively 1.11 and 2.11;

[0062] The reference interval of the equipment deviation index value is obtained, the number of each functional room equipment higher than the maximum value of the reference deviation index value interval, the number located in the reference deviation index value interval and the number less than the minimum value of the reference deviation index value interval are counted, and the sum is summed to obtain the total number GQS higher than the interval, the total number WQS in the interval and the total number DQS lower than the interval, and the set formula Get the functional room equipment deviation value GPY, wherein e8 and e9 are respectively set proportionality coefficients, the size of which is self-defined, and the values are respectively 1.21 and 8.11;

[0063] Get the total space size VG of each functional room of the box-type substation and the total volume VS occupied by the equipment of each functional room, and according to the set formula Get the functional room equipment density value MG, and get the distance GL of each functional room close to the external opening part, and according to the set formula

[0064]

[0065] Calculate the space characteristic value GK of each functional room, wherein b1, b2, b3 and b4 are respectively set influence factors, the size of which is self-defined, and the values are respectively 1.121, 1.216, 1.421 and 1.112, Y1 and Y2 are respectively set reference functional room equipment density values and reference distances close to the external opening part, and d is a natural constant, the size of which is self-defined and is 1.581.

[0066] Get the total number of personnel in each functional room of the box-type substation within one month and the number of times, and the number of times of personnel entering and exiting the functional room, which are respectively GRS, GHC and GJC, according to the set formula Get the functional room personnel activity coefficient GHX, wherein d5 and d6 are set weight factor coefficients, the size of which is self-defined, and the values are respectively 3.12 and 2.21, G1 and G2 are respectively set reference average number of personnel in the functional room within one month and reference number of times of personnel entering and exiting the functional room, and ΔGP and ΔGJC are respectively set reference average number of personnel difference in the functional room within one month and reference number of times of personnel entering and exiting the functional room difference.

[0067] Convert the values corresponding to the functional room equipment load over-set proportion value FZ, the functional room personnel activity coefficient GHX and the functional room equipment deviation value GPY into lengths according to a certain proportion; take the length of the functional room equipment load over-set proportion value FZ, the length of the functional room personnel activity coefficient GHX and the length of the functional room equipment deviation value GPY as the lower base of the trapezoid, the upper base of the trapezoid and the height of the trapezoid to build a trapezoid; convert the values corresponding to the space characteristic value GK of each functional room into lengths according to a certain proportion, take the length of the space characteristic value GK of each functional room as the radius to build a circle inside the trapezoid, and the center of the trapezoid coincides with the center of the circle; identify the area of the trapezoid and the circle which do not coincide, and mark it as the functional room index value of the box-type substation.

[0068] A second reference threshold DZ2 of the box-type substation function room index value is set, and each box-type substation function room index value is compared and analyzed with the preset first reference threshold DZ2; when the box-type substation function room index value is less than the preset second reference threshold DZ2, the corresponding box-type substation function room is additionally assigned Y1 points; when the box-type substation function room index value is equal to the preset second reference threshold DZ2, the corresponding box-type substation function room is additionally assigned Y2 points; when the box-type substation function room index value is greater than the preset second reference threshold DZ2, the corresponding box-type substation function room is additionally assigned Y3 points, wherein Y3≥Y2≥Y1;

[0069] The environmental grade analysis module is used to receive the function room indoor environmental parameters and analyze and count them to obtain the function room indoor environmental additional assignment; and the box-type substation external environment initial assignment, the box-type substation function room additional assignment and the function room indoor environmental additional assignment are determined and analyzed to obtain the ventilation demand set, which is sent to the ventilation system matching module, and the specific analysis is as follows:

[0070] The temperature, humidity and gas concentration in the function room are monitored, and it should be noted that the gas concentration is oxygen, and the temperature, humidity and gas concentration in the function room are displayed through the coordinate system, and a standard temperature, humidity and gas concentration straight line graph is established in the coordinate system. The three curves are calculated to form a closed area with the respective standard straight lines, and the sum of the areas is obtained to obtain the bias value; the dust concentration of the function room is measured by light scattering method, the average value of each measurement value is taken, and the difference between the average value of the dust concentration and the standard dust concentration is obtained to obtain the gray value; the bias value and the gray value are converted into numerical values in a certain proportion, and the length of the bias value and the gray value is taken as the base and the height of the parallelogram to construct a parallelogram, and the perimeter of the parallelogram is extracted as the function room indoor environmental state value GHY;

[0071] A third reference threshold DZ3 of the function room indoor environmental state value is set, and each function room indoor environmental state value is compared and analyzed with the preset third reference threshold DZ3; when the function room indoor environmental state value is less than the preset third reference threshold DZ3, the corresponding function room indoor environmental additional assignment is Z1 points; when the box-type substation external environment abnormal value is equal to the preset third reference threshold DZ3, the function room indoor environmental additional assignment is Z2 points; when the function room indoor environmental state value is greater than the preset third reference threshold DZ3, the corresponding function room indoor environmental additional assignment is Z3 points, wherein Z3≥Z2≥Z1;

[0072] The score value of each box-type substation external environment data item, the score value of the box-type substation function room index value data item, and the score value of the function room internal environment state value data item are added to obtain the total score value of each box-type substation function room, and the total score value is used to classify the box-type substation function rooms, when the total score value is X3+Y3+Z3 or X2+Y3+Z3 or X3+Y2+Z3 or X3+Y3+Z2, the corresponding substation function room is classified into a first-level ventilation demand set A1, when the total score value is X2+Y2+X2 or X1+Y3+X2 or X3+Y1+X2 or X2+Y1+X3 or X1+Y2+X3 or X2+Y2+Z1 or X1+Y2+Z2 or X2+Y1+Z2, the corresponding substation function room is classified into a second-level ventilation demand set A2, when the total score value is X2+Y1+Z1 or X1+Y2+Z1 or X1+Y1+Z2, the corresponding substation function room is classified into a third-level ventilation demand set A3, and when the total score value is X1+Y1+Z1, the corresponding substation function room is classified into a fourth-level ventilation demand set A4;

[0073] The obtained first-level ventilation demand set A1, second-level ventilation demand set A2, third-level ventilation demand set A3, and fourth-level ventilation demand set A4 are sent to a ventilation system matching module.

[0074] The ventilation system matching module is configured to receive the ventilation demand set and determine and analyze the received ventilation demand set, and the specific analysis is as follows:

[0075] If the substation function room is in the fourth-level ventilation demand set A4, the ventilation system is adjusted to natural ventilation, and an air inlet and an air outlet are set, specifically, the air inlet is usually set at a lower position to introduce fresh cold air, and the air outlet is set at a higher position to facilitate the discharge of hot air; if the substation function room is in the third-level ventilation demand set A3, the ventilation system is adjusted to mechanical ventilation, and the outdoor fresh air is sent into the box-type substation by a ventilator; if the substation function room is in the second-level ventilation demand set A2, the ventilation system is adjusted to intelligent ventilation, and corresponds to n1 positions; if the substation function room is in the first-level ventilation demand set A1, the ventilation system is adjusted to intelligent ventilation, and corresponds to n2 positions, where n2≥n1.

[0076] The ventilation verification and early warning module is configured to analyze the ventilation system after adjustment, receive function room equipment performance related parameters, and statistically analyze the function room equipment performance related parameters, and the specific analysis is as follows:

[0077] By taking the equipment in the functional room of the transformer substation as the center, measurement points are arranged on circumferences with different radii, specifically 0.5 m, 1 m, 5 m, and 10 m. A plurality of measurement points at uniform angles are selected on each circumference, specifically every 30 degrees. Measurement points are arranged near the bottom, middle, and top of the equipment. Noise values are obtained by measuring with a sound level meter. The maximum noise value at each radius is obtained. Different measurement radii are sorted from small to large. The maximum noise value of the preceding adjacent sorting is subtracted from the maximum noise value of the subsequent sorting. The noise value change value is obtained by adding the two values. The maximum noise value of all measurement data is obtained and subtracted from the set maximum value to obtain the noise value set difference value. The noise value change value and the noise value set difference value are weighted and calculated, and multiplied by the corresponding proportion factor to obtain the noise anomaly value ZY.

[0078] The number of equipment failures in the functional room of the transformer substation within a period of time is obtained to obtain the equipment failure rate SG. The noise anomaly value ZY and the equipment failure rate SG are normalized according to the set formula to obtain the equipment anomaly value SY. f1 and f2 are set weight factor coefficients, the size of which is self-defined, and the values are 3.012 and 3.201, respectively.

[0079] The equipment anomaly value is compared and analyzed with the set comparison threshold YY1. When the equipment anomaly value is greater than the set comparison threshold YY1, a negative feedback signal for adjusting the ventilation system is generated. Conversely, when the equipment anomaly value is less than or equal to the set comparison threshold YY1, a positive feedback signal for adjusting the ventilation system is generated.

[0080] When the positive feedback signal for adjusting the ventilation system is generated, a description in the form of a text string "The box-type transformer substation has obtained better ventilation" is sent to the display terminal for display and explanation.

[0081] When the negative feedback signal for adjusting the ventilation system is generated, a description in the form of a text string "The box-type transformer substation has not obtained better ventilation" is sent to the display terminal for display and explanation.

[0082] The database is used to store the set reference temperature variance of the equipment, the reference temperature first vertical distance of the equipment, the reference temperature second vertical distance of the equipment, the set reference functional room equipment density value, and the reference distance close to the external opening part.

[0083] The foregoing is illustrative of the present application, and is not to be construed as limiting thereof. While a number of exemplary embodiments of the application have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of the application. Accordingly, all such modifications are intended to be included within the scope of the present application as defined in the claims. It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the application should, therefore, be determined not with reference to the above description, but should instead be determined with reference to the appended claims, along with their full scope of equivalents.

Claims

1. An intelligent box-type substation ventilation system comprising a data acquisition module, a display terminal and a database, characterized in that, Also comprising: The substation outside analysis module is used for receiving the box-type substation outside environment parameter, analyzing and judging, obtaining the box-type substation external environment initial assignment, and sending it to the environment level analysis module; The specific analysis of the box-type substation external environment initial assignment is as follows: Obtaining the highest and lowest values of the air temperature in the area where the box-type substation is located every day in a year, taking time as the horizontal axis and the highest and lowest values of the air temperature every day as the vertical axis, drawing points in the same coordinate system, connecting the starting points of the lowest and highest values, connecting the ending points of the lowest and highest values, measuring the area value of the closed region formed, marking it as ZS, extracting the peak parameters of the highest and lowest value peaks in the coordinate graph, wherein the peak parameters include peak height, peak area and peak width, respectively marked as FG, FM and FK, and according to the set formula obtaining the temperature characteristic value WT corresponding to the temperature peak, a1, a2 and a3 representing the set influence factors, comparing and analyzing the temperature characteristic value with the set temperature characteristic value interval, when the temperature characteristic value is greater than the maximum value of the set temperature characteristic value interval, it corresponds to a high temperature peak, when the temperature characteristic value is in the set temperature characteristic value interval, it corresponds to a moderate temperature peak, and when the temperature characteristic value is less than the minimum value of the set temperature characteristic value interval, it corresponds to a low temperature peak, respectively counting the number of high, moderate and low temperature peaks of the highest value, marked as GGS, GZS and GDS, respectively counting the number of high, moderate and low temperature peaks of the lowest value, marked as DGS, DZS and DDS, and according to the set formula obtaining the box-type substation area temperature index XBW, b1, b2, b3, b4 and b5 representing the set influence factors; Draw a circle with the box-type substation location as the center and a certain distance, obtain the number of all obstacles ZS and the height of the obstacles ZG in the circle, normalize the number of obstacles ZS and the height of the obstacles ZG, and substitute them into the set formula Obtain the box-type substation influence coefficient WY, c1 and c2 are respectively represented as the set influence factor; obtain the number of wind direction changes in a period of time at the box-type substation location, divide the number of wind direction changes by the corresponding period of time to obtain the wind direction change frequency value, obtain the wind speed in a period of time, take the difference between the maximum wind speed and the minimum wind speed to obtain the range value of the wind speed, weight the wind direction change frequency value and the range value of the wind speed, and multiply by the corresponding proportion factor to obtain the wind change value FZ of the box-type substation; obtain the air quality index in a period of time at the box-type substation location, compare with the set air quality index, when the air quality index is greater than the set air quality index, it is a high-quality air quality period, when the air quality index is equal to the set air quality index, it is a qualified air quality period, obtain the interval length of adjacent high-quality air quality periods and the interval length of adjacent qualified air quality periods, and respectively sum up to obtain the total interval length of high-quality periods and the total interval length of qualified periods, weight and multiply by the corresponding proportion factor to obtain the air quality interval value KG of the box-type substation; The box-type substation material influence coefficient WY, the box-type substation wind variable value FZ and the box-type substation air optimal isolation value KG are converted into length according to a certain proportion; the length of the box-type substation material influence coefficient WY, the box-type substation wind variable value FZ and the box-type substation air optimal isolation value KG is taken as the diameter of the bottom circle of the circular truncated cone, the diameter of the equal circle of the circular truncated cone and the height of the circular truncated cone to construct a circular truncated cone; the value corresponding to the box-type substation region temperature index XBW is converted into length according to a certain proportion, and a sphere is constructed with the length of the box-type substation region temperature index XBW as the radius, and the center of the sphere coincides with the center of the top surface of the circular truncated cone; the abnormal circular truncated cone sphere volume formed by extraction is marked as the box-type substation external environment abnormal value; The first reference threshold DZ1 of the box-type substation external environment abnormal value is set, and each box-type substation external environment abnormal value is compared and analyzed with the preset first reference threshold DZ1; when the box-type substation external environment abnormal value is less than the preset first reference threshold DZ1, the corresponding box-type substation external environment initial assignment is X1 points; when the box-type substation external environment abnormal value is equal to the preset first reference threshold DZ1, the corresponding box-type substation external environment initial assignment is X2 points; when the box-type substation external environment abnormal value is greater than the preset first reference threshold DZ1, the corresponding box-type substation external environment initial assignment is X3 points, wherein X3≥X2≥X1; The substation function room analysis module is used for receiving the box-type substation function room index parameter, and analyzing and judging to obtain the box-type substation function room additional assignment, and sending it to the environment level analysis module; The specific analysis of the box-type substation function room additional assignment is as follows: Obtaining the load of the functional room equipment of the box-type substation in a period of time, obtaining the equipment load of the functional room, and calculating the FZ; monitoring the temperature value of each equipment in the functional room through the temperature sensor, taking the time as the horizontal axis, taking the temperature value as the vertical axis, and drawing the point corresponding to the temperature value of each monitoring time point on the coordinate system, denoted as Wi, i is the number of monitoring time, i=1, 2, 3, 4..., I, I is the maximum value of the monitoring time number, connecting the maximum temperature value point and the minimum temperature value point in the coordinate system, and the vertical line of the connecting line of the coordinate points of the temperature values corresponding to each monitoring time in the coordinate system is drawn, and the distance between each coordinate point and the vertical line is taken, when the coordinate point is located above the connection of the maximum value and the minimum value, it is denoted as the first vertical distance CYi, and when the coordinate point is located below the connection of the maximum value and the minimum value, it is denoted as the second vertical distance CEi; according to the set formula The temperature abnormal value WZ is calculated; wherein e1, e2 and are the set proportion coefficients, W1 is the reference temperature variance of the equipment, W2 is the reference temperature first vertical distance of the equipment, and W3 is the reference temperature second vertical distance of the equipment, is the average value of the temperature corresponding to different monitoring time; The device temperature abnormal value is corresponded to the time coordinate system, compared and analyzed with the set device temperature abnormal value interval, when the device temperature abnormal value is greater than the maximum value of the device temperature abnormal value interval, it corresponds to a first temperature abnormality, when the device temperature abnormal value is in the device temperature abnormal value interval, it corresponds to a second temperature abnormality, when the device temperature abnormal value is less than the minimum value of the device temperature abnormal value interval, it corresponds to a third temperature abnormality, the interval length of the first temperature abnormality and the interval length of the second temperature abnormality are obtained, and the total interval length YJ of the first temperature abnormality and the total interval length EJ of the second temperature abnormality are obtained by statistical summation, the time length of the first temperature abnormality, the second temperature abnormality and the third temperature abnormality are obtained and counted as YY, EY and SY respectively, and the formula set according to the formula The device temperature aging coefficient WL is obtained, wherein e4 and e5 are both preset weight factors, is a preset correction factor; The deviation index value SP of the device is obtained by analyzing the temperature abnormal value WZ and the device temperature aging coefficient WL; the reference interval of the device deviation index value is obtained, the number of each functional room device higher than the maximum value of the reference deviation index value interval, the number located in the reference deviation index value interval, and the number less than the minimum value of the reference deviation index value interval are counted and summed up respectively to obtain the total number of intervals higher than GQS, the total number of intervals WQS, and the total number of intervals lower than DQS, according to the set formula The functional room device deviation GPY is obtained, wherein e8 and e9 are the set proportion coefficients; The total space size VG of each function room of the box-type substation and the total volume VS occupied by each function room equipment are obtained, and the space characteristic value GK of each function room is calculated; the total number of personnel in each function room within one month and the acquisition frequency are obtained, and the function room personnel activity coefficient GHX is obtained; The device load over-proportion value FZ of the function room, the function room personnel activity coefficient GHX, the function room equipment deviation value GPY and the space characteristic value GK of each function room are statistically analyzed to obtain the box-type substation function room index value; A second reference threshold DZ2 of the functional room index value of the box-type substation is set, and each functional room index value of the box-type substation is compared and analyzed with the preset first reference threshold DZ2; when the functional room index value of the box-type substation is less than the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y1 points; when the functional room index value of the box-type substation is equal to the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y2 points; when the functional room index value of the box-type substation is greater than the preset second reference threshold DZ2, the corresponding box-type substation functional room is additionally assigned Y3 points, wherein Y3≥Y2≥Y1; The environmental grade analysis module is used for receiving the environmental parameters in the functional room and analyzing and counting the same to obtain the additional assignment of the environmental parameters in the functional room; and the initial assignment of the external environment of the box-type substation, the additional assignment of the functional room of the box-type substation and the additional assignment of the environmental parameters in the functional room are judged and analyzed to obtain a ventilation demand set which is sent to the ventilation system matching module; The ventilation system matching module is used for receiving the ventilation demand set and judging and analyzing the same; The ventilation verification and early warning module is used for receiving the functional room equipment performance related parameters after the ventilation system is adjusted and statistically analyzing the same.

2. The intelligent box-type substation ventilation system according to claim 1, wherein, The specific analysis of the additional assignment of the environmental parameters in the functional room is as follows: The temperature, humidity and gas concentration in the functional room are monitored to obtain a bias value; the dust concentration in the functional room is measured by a light scattering method to obtain a gray value; the bias value and the gray value are converted into numerical values in a certain proportion, and the length of the bias value and the gray value is taken as the base and the height of a parallelogram respectively to construct a parallelogram, the perimeter of the parallelogram is extracted as the environmental state value GHY in the functional room; A third reference threshold DZ3 of the environmental state value in the functional room is set, and each environmental state value in the functional room is compared and analyzed with the preset third reference threshold DZ3; when the environmental state value in the functional room is less than the preset third reference threshold DZ3, the corresponding environmental parameters in the functional room are additionally assigned Z1 points; when the environmental state value in the functional room is equal to the preset third reference threshold DZ3, the environmental parameters in the functional room are additionally assigned Z2 points; when the environmental state value in the functional room is greater than the preset third reference threshold DZ3, the corresponding environmental parameters in the functional room are additionally assigned Z3 points, wherein Z3≥Z2≥Z1.

3. The intelligent box-type substation ventilation system of claim 1, wherein, The specific analysis of the ventilation demand set is as follows: The score value of each box-type substation external environment data item, the score value of the box-type substation function room index value data item, and the score value of the function room internal environment state value data item are added to obtain the total score value of each box-type substation function room. According to the total score value, the box-type substation function rooms are classified into different levels. When the total score value is X3+Y3+Z3 or X2+Y3+Z3 or X3+Y2+Z3 or X3+Y3+Z2, the corresponding substation function room is classified into a first-level ventilation demand set A1. When the total score value is X2+Y2+X2 or X1+Y3+X2 or X3+Y1+X2 or X2+Y1+X3 or X1+Y2+X3 or X2+Y2+Z1 or X1+Y2+Z2 or X2+Y1+Z2, the corresponding substation function room is classified into a second-level ventilation demand set A2. When the total score value is X2+Y1+Z1 or X1+Y2+Z1 or X1+Y1+Z2, the corresponding substation function room is classified into a third-level ventilation demand set A3. When the total score value is X1+Y1+Z1, the corresponding substation function room is classified into a fourth-level ventilation demand set A4. The obtained first-level ventilation demand set A1, second-level ventilation demand set A2, third-level ventilation demand set A3, and fourth-level ventilation demand set A4 are sent to a ventilation system matching module.

4. The intelligent box-type substation ventilation system of claim 1, wherein, The specific analysis of the ventilation demand set determination and analysis is as follows: If the substation function room is in the fourth-level ventilation demand set A4, the ventilation system adjusts natural ventilation, and sets an air inlet and an air outlet. If the substation function room is in the third-level ventilation demand set A3, the ventilation system adjusts mechanical ventilation. If the substation function room is in the second-level ventilation demand set A2, the ventilation system adjusts intelligent ventilation, and corresponds to n1 positions. If the substation function room is in the first-level ventilation demand set A1, the ventilation system adjusts intelligent ventilation, and corresponds to n2 positions, where n2≥n1.

5. The intelligent box-type substation ventilation system of claim 1, wherein, The specific analysis of the function room equipment performance related parameter statistical analysis is as follows: Through the noise value, an abnormal noise value ZY is obtained, and the abnormal noise value ZY and the equipment failure rate SG are analyzed to obtain an abnormal equipment value SY. The abnormal equipment value is compared with a set comparison threshold YY1. When the abnormal equipment value is greater than the set comparison threshold YY1, a ventilation system adjustment negative feedback signal is generated. Otherwise, when the abnormal equipment value is less than or equal to the set comparison threshold YY1, a ventilation system adjustment positive feedback signal is generated. When the ventilation system adjustment positive feedback signal is generated, a display terminal is sent a description in the form of "the box-type substation has obtained better ventilation” to display and explain. When the ventilation system adjustment negative feedback signal is generated, a display terminal is sent a description in the form of "the box-type substation has not obtained better ventilation” to display and explain.

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