A method for identifying and locating doors and windows that are not closed when turning on air conditioning

Abstract

The present invention relates to a method for identifying and locating doors and windows that are not closed when an air conditioner is turned on, comprising: step 1: calibrating a theoretical adjustment factor of an air conditioner based on historical data; step 2: establishing a numbering system for air conditioners and door and window groups, determining the influence constant of each door and window group on each air conditioner, and obtaining an influence matrix Q; step 3: measuring the indoor and outdoor temperature difference, and calculating the actual adjustment factor, comprising: extracting real-time operation data of the air conditioner from the air conditioner system; step 4: calculating the actual adjustment factor according to the wind speed of each air conditioner as i , take the corresponding adjustment factor and establish the linear equation system Qa=k‑k * , where k and k * are vectors composed of the theoretical adjustment factor and the actual adjustment factor of the air conditioner respectively; the linear equation group is solved to obtain the a vector representing the switch state of the door and window group. Based on the solution results, the present invention can calculate the abnormal state of the doors and windows that are not closed, and locate the specific positions of the abnormal doors and windows. The air conditioner operation efficiency can be guaranteed without adding new equipment, the building energy-saving management level can be improved, and carbon emissions can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of building operation and maintenance, and in particular to a method for identifying and locating doors and windows that are not closed when an air conditioner is turned on. Background Art

[0002] According to statistics, carbon emissions during the operation phase of buildings account for about 22% of the total carbon emissions in the country, of which the air conditioning system that maintains the comfort of the building accounts for more than 30% of the carbon emissions during the operation phase of the building, which has great potential for energy conservation and emission reduction. The survey shows that the operating status of the air conditioner in each room is strongly related to the opening of doors and windows. For example, when the doors and windows are open, it will take a long time for the air conditioner to adjust the indoor temperature to the set temperature. In the use of public buildings, it is often the case that the air conditioner and the doors and windows connected to the outdoors are opened at the same time, which will cause the air conditioning unit to work at high load for a long time, thereby increasing the energy consumption of the air conditioner and affecting the comfort of the building. However, due to the large area and mixed personnel of public buildings, it is difficult to ensure that the doors and windows are in a normally closed state through management means. It can only rely on a large number of management personnel to manually patrol and identify, resulting in untimely discovery of abnormalities and low efficiency.

[0003] Although there are some intelligent door and window identification and control methods to identify and control the status of doors and windows, they all require the addition of certain equipment. For example, pressure sensors are installed on doors and windows to detect the opening and closing of doors and windows, or air pressure sensors are installed indoors to detect indoor air pressure. These control methods will undoubtedly increase costs due to the increase in equipment, and are inconvenient to disassemble and assemble, and have poor applicability. Summary of the invention

[0004] The present invention provides a method for identifying and locating doors and windows that are not closed when turning on an air conditioner, so as to solve the above technical problems.

[0005] In order to solve the above technical problems, the present invention provides a method for identifying and locating doors and windows that are not closed when turning on the air conditioner, comprising the following steps:

[0006] Step 1: Calibrate the theoretical adjustment factor of the air conditioner based on historical data, including:

[0007] Step 1.1: Targeting the air conditioner i , extract its historical operation data AC i , the historical operation data AC i At least the indoor temperature tn i , air conditioning set temperature ts i , air conditioning wind speed as i and adjustment time t i ;

[0008] Step 1.2: Press the air conditioner wind speed as i The gears are divided into N categories, N is the total number of wind speed gears that the air conditioner has, and the adjustment factor for each gear is calculated using the following formula:

[0009] Heating conditions: k i =ln[10(ts i -tn i ) / T eff ] / t i

[0010] Cooling conditions: k i =ln[10(tn i -ts i ) / T eff ] / t i

[0011] Among them, T eff The air inlet and outlet temperature limits of the air conditioner;

[0012] Step 1.3: Calculate the average value of each type of adjustment factor and calibrate it as the theoretical adjustment factor;

[0013] Step 2: Establish a numbering system for air conditioners and door and window groups, determine the influence constant of each door and window group on each air conditioner, and obtain the influence matrix Q;

[0014] Step 3: Measure the indoor and outdoor temperature difference and calculate the actual adjustment factor, including:

[0015] Extract the real-time operation data of the air conditioner from the air conditioning system, wherein the real-time operation data at least includes the indoor temperature tn i , air conditioning set temperature ts i , calculate the current actual adjustment factor k* according to the adjustment factor calculation formula in step 1.2 i ;

[0016] Step 4: According to the wind speed of each air conditioner i , take the corresponding theoretical adjustment factor and actual adjustment factor, establish the linear equation group Qa=kk*, where k and k* are vectors composed of the theoretical adjustment factor and actual adjustment factor of the air conditioner respectively; solve the linear equation group to obtain the a vector, which represents the switch state of the door and window group.

[0017] Preferably, in step 1.2, the air inlet and outlet temperature limits T of the air conditioner are eff Not less than 8℃.

[0018] Preferably, in step 2, the element in the i-th row and j-th column of the influence matrix Q is the i-th door and window group M i For the jth air conditioner A j The reduction of the adjustment factor.

[0019] Preferably, in step 4, in the vector a to be solved, if a i>0.5, it is identified as the i-th door and window group is in an abnormal state of not being closed; otherwise, it is identified as the door and window group is in a normal closed state.

[0020] Compared with the prior art, the method for identifying and locating doors and windows that are not closed when the air conditioner is turned on provided by the present invention has the following advantages:

[0021] 1. The present invention can calculate the abnormal state of doors and windows that are not closed based on the solution results of the equation group, and locate the specific positions of abnormal doors and windows. It can ensure the operating efficiency of air conditioners without adding new equipment, improve the level of building energy-saving management, and reduce carbon emissions during the operation stage of buildings;

[0022] 2. The present invention utilizes the historical operation data of the air conditioner to identify abnormal situations, which has low cost, high accuracy and strong applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a method for identifying and locating doors and windows that are not closed when the air conditioner is turned on in one specific embodiment of the present invention;

[0024] Figure 2 It is a schematic diagram of the change of the air conditioner set temperature and the indoor temperature in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to describe the technical solution of the above invention in more detail, specific embodiments are listed below to demonstrate the technical effect; it should be emphasized that these embodiments are used to illustrate the present invention but are not limited to the scope of the present invention.

[0026] The present invention provides a method for identifying and locating doors and windows that are not closed when the air conditioner is turned on. Figure 1 As shown, the following steps are included:

[0027] Step 1: Calibrate the theoretical adjustment factor of the air conditioner based on historical data, including:

[0028] Step 1.1: Targeting the air conditioner i , extract its historical operation data AC i , the historical operation data AC i At least the indoor temperature tn i , air conditioning set temperature ts i , air conditioning wind speed as i and adjustment time t i .

[0029] For example, if the historical data includes the cooling status of air conditioner No. 6, AC6 = {ac6 = (tn i =31 degrees, ts i =26 degrees, as i = 2 levels, adjust duration ti =0.5 hours)}.

[0030] Step 1.2: Press the air conditioner wind speed as i The gears are divided into N categories, N is the total number of wind speed gears that the air conditioner has, and the adjustment factor for each gear is calculated using the following formula:

[0031] Heating conditions: k i =ln[10(ts i -tn i ) / T eff ] / t i

[0032] Cooling conditions: k i =ln[10(tn i -ts i ) / T eff ] / t i

[0033] Among them, T eff is the air inlet and outlet temperature limit of the air conditioner. In some embodiments, the air inlet and outlet temperature limit T eff Can be set by the manufacturer but must not be lower than 8℃.

[0034] For example, the manufacturer of air conditioner No. 6 sets T eff = 12 degrees, then the adjustment factor k of air conditioner No. 6 in cooling condition i =ln[10×(31-26)÷12]÷0.5=2.85.

[0035] Step 1.3: Calculate the average value of each type of adjustment factor {as j , k ji}, where k ji is the air conditioning wind speed as ji The average value of the adjustment factors under certain circumstances is calibrated as the theoretical adjustment factor.

[0036] For example, after air conditioner No. 6 has been running for a period of time, the average adjustment factor of each cooling is calculated to be 2.8. Therefore, the theoretical adjustment factor of air conditioner No. 6 under cooling conditions is 2.8.

[0037] Step 2: Establish a numbering system for air conditioners and door and window groups, determine the influence constant of each door and window group on each air conditioner through experiments, and obtain the influence matrix Q.

[0038] In some embodiments, the element in the i-th row and j-th column of the influence matrix Q is the i-th door and window group M i

[0039] For the jth air conditioner A jIn fact, the influence matrix Q is a sparse matrix. Generally, only the air conditioners and doors and windows in the same room, or the doors and windows close to an air conditioner, have a certain influence on the adjustment factor of the air conditioner.

[0040] Step 3: Measure the indoor and outdoor temperature difference and calculate the actual adjustment factor, including:

[0041] Extract the real-time operation data of the air conditioner from the air conditioning system, and the real-time operation data at least includes indoor

[0042] Temperature tn i , air conditioning set temperature ts i In some embodiments, the air conditioner set temperature ts i With indoor temperature tn i The changes of 0 are as follows Figure 2 Substitute the real-time operation data into the calculation formula of the adjustment factor in step 1.2,

[0043] Calculate the current actual adjustment factor k* i .

[0044] For example, the cooling condition of air conditioner No. 6 is measured, AC6 = {ac6 = (tn i =32 degrees, ts i =25 degrees, as i = 2 levels, adjust duration t i =0.8 hours)}, then the current actual adjustment factor k* i =ln[10×(32-25)÷12]÷

[0045] 0.8=2.20.

[0046] 5Step 4: According to the wind speed of each air conditioner i , take the corresponding theoretical adjustment factor and actual adjustment factor,

[0047] A linear equation group Qa=kk* is established, where k and k* are vectors consisting of the theoretical adjustment factor and the actual adjustment factor of the air conditioner respectively; the linear equation group is solved to obtain the a vector, and the value of the a vector represents the switch state of the door and window group.

[0048] In some embodiments, in the a vector being solved, if a i >0.5, it is identified as the i-th door and window group is in an abnormal state of not being closed; otherwise, it is identified as the door and window group is in a normal closed state.

[0049] For example, the vector a=[0.15, 0.21, 0.75, 0.18, 0.44, 0.92] is solved, which means that the doors and windows of the third and sixth groups have the abnormal phenomenon of not being closed, and the other doors and windows are closed.

[0050] In summary, the present invention can solve the abnormal state of the unclosed doors and windows based on the solution results of the equation group.

[0051] The present invention can ensure the efficiency of air conditioning operation without adding new equipment, improve the building energy-saving management level, and reduce carbon emissions during the building operation stage; the present invention uses the historical operation of air conditioners

[0052] The data can be used to identify abnormal situations with low cost, high accuracy and strong applicability.

[0053] Obviously, those skilled in the art can make various changes and modifications to the invention without departing from the spirit and scope of the invention. Thus, if these modifications and variations of the invention fall within the scope of the claims of the invention and their equivalents, the invention is also intended to include these modifications and variations.

Claims

1. A method for identifying and locating doors and windows that are not closed when turning on an air conditioner, characterized in that: The steps include: Step 1: Calibrate the theoretical adjustment factor of the air conditioner based on historical data, including: Step 1.1: Targeting the air conditioner i , extract its historical operation data AC i , the historical operation data AC i At least the indoor temperature tn i , air conditioning set temperature ts i , air conditioning wind speed as i and adjustment time t i ; Step 1.2: Press the air conditioner wind speed as i The gears are divided into N categories, N is the total number of wind speed gears that the air conditioner has, and the adjustment factor for each gear is calculated using the following formula: Heating conditions: k i =ln[10(ts i -tn i ) / T eff ] / t i Cooling conditions: k i =ln[10(tn i -ts i ) / T eff ] / t i Among them, T eff The temperature difference limit between the air inlet and outlet of the air conditioner; Step 1.3: Calculate the average value of each type of adjustment factor and calibrate it as the theoretical adjustment factor; Step 2: Establish a numbering system for air conditioners and door and window groups, determine the influence constant of each door and window group on each air conditioner, and obtain the influence matrix Q; Step 3: Measure the indoor and outdoor temperature difference and calculate the actual adjustment factor, including: Extract the real-time operation data of the air conditioner from the air conditioning system, wherein the real-time operation data at least includes the indoor temperature tn i , air conditioning set temperature ts i , calculate the current actual adjustment factor k according to the adjustment factor calculation formula in step 1.2 * i ; Step 4: According to the wind speed of each air conditioner i , take the corresponding theoretical adjustment factor and actual adjustment factor, and establish the linear equation system Qa=kk * , where k and k * are vectors composed of the theoretical adjustment factor and the actual adjustment factor of the air conditioner respectively; solving the linear equation group obtains the a vector, which represents the switch state of the door and window group.

2. The method for identifying and locating doors and windows that are not closed when the air conditioner is turned on according to claim 1, characterized in that: In step 1.2, the temperature difference limit T between the air inlet and the air outlet of the air conditioner eff Not less than 8℃.

3. The method for identifying and locating doors and windows that are not closed when the air conditioner is turned on according to claim 1, characterized in that: In step 2, the element in the i-th row and j-th column of the influence matrix Q is the i-th door and window group M i For the jth air conditioner A j The reduction of the adjustment factor.

4. The method for identifying and locating doors and windows that are not closed when the air conditioner is turned on according to claim 1, characterized in that: In step 4, in the solved a vector, if a i >0.5, it is identified as the i-th door and window group is in an abnormal state of not being closed; otherwise, it is identified as the door and window group is in a normal closed state.

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