Method and system for monitoring operation energy consumption of composite air duct

Abstract

The invention relates to the technical field of energy consumption monitoring, and particularly discloses a method and a system for monitoring operation energy consumption of a composite air duct, and the method comprises the steps: processing the air pressure difference between an air inlet end and an air outlet end of the composite air duct in a period, and obtaining the characteristic data of the air pressure difference in the period; a real-time wind pressure difference behavior value in the period is obtained based on the wind pressure difference characteristic data in the period; processing the temperature difference between the air inlet end and the air outlet end of the composite air pipe in the period to obtain temperature difference characteristic data in the period, and obtaining a real-time temperature and pressure variation behavior value in the period based on the temperature difference characteristic data in the period; the real-time air pressure difference behavior value in the period and the real-time temperature and pressure variation behavior value in the period are processed to obtain the operation monitoring behavior value of the composite air pipe in the period, and the operation state of the composite air pipe is monitored based on the operation monitoring behavior value of the composite air pipe in the period. The operation state of the composite air pipe is identified from the change of the air pressure and the temperature of the composite air pipe.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption monitoring, and in particular to a method and a system for monitoring the operation energy consumption of a composite air duct. Background Art

[0002] The composite air duct operation energy consumption monitoring system is an efficient and accurate energy management tool that can help enterprises achieve refined energy management.

[0003] As an important part of the ventilation system of modern buildings, the operating energy consumption of composite air ducts is directly related to the overall energy efficiency of the building. Composite air ducts use advanced materials and designs to optimize air circulation efficiency and reduce energy consumption. During operation, composite air ducts precisely control air volume and temperature to ensure indoor environmental comfort while minimizing energy consumption.

[0004] In the prior art, during the operation of the composite air duct, effective monitoring of the operation energy consumption of the composite air duct over a long period of time has great limitations. Summary of the invention

[0005] The object of the present invention is to provide a method and system for monitoring the operating energy consumption of a composite air duct, which processes the wind pressure difference and temperature difference between the air inlet end and the air outlet end of the composite air duct within a preset period, that is, by processing the time abnormal unit number ratio within the period, the real-time wind pressure difference positive deviation ratio within the period and the real-time wind pressure difference characterization volatility within the period, the real-time wind pressure difference behavior value within the period is obtained, and then by processing the temperature and pressure variation time ratio, the temperature variation time ratio and the wind pressure variation time ratio, the real-time temperature and pressure variation behavior value within the period is obtained, based on the real-time temperature and pressure variation behavior value within the period and the real-time wind pressure difference behavior value within the period, the operation monitoring behavior value of the composite air duct within the period is obtained, thereby realizing the identification of the operating status of the composite air duct from the changes in the wind pressure and temperature of the composite air duct.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for monitoring the operating energy consumption of a composite air duct comprises the following steps:

[0008] Preset a cycle, collect wind pressure values ​​at the air inlet end and the air outlet end of the composite air duct within the cycle, and process the wind pressure difference between the air inlet end and the air outlet end of the composite air duct to obtain wind pressure difference characteristic data within the cycle, and obtain a real-time wind pressure difference behavior value within the cycle based on the wind pressure difference characteristic data within the cycle;

[0009] The temperature values ​​of the air inlet and the air outlet of the composite air duct are collected during the cycle, and the temperature difference between the air inlet and the air outlet of the composite air duct is processed to obtain the temperature difference characteristic data during the cycle, and the real-time temperature and pressure variation behavior value during the cycle is obtained based on the temperature difference characteristic data during the cycle;

[0010] By processing the real-time wind pressure difference behavior value within the cycle and the real-time temperature and pressure variation behavior value within the cycle, the operation monitoring behavior value of the composite air duct within the cycle is obtained, and the operation status of the composite air duct is monitored based on the operation monitoring behavior value of the composite air duct within the cycle.

[0011] As a further solution of the present invention: the wind pressure difference characteristic data includes the time anomaly unit number ratio within the period, the real-time wind pressure difference positive deviation ratio within the period and the real-time wind pressure difference characterization volatility within the period;

[0012] The real-time wind pressure difference behavior value within the period is calculated.

[0013] As a further solution of the present invention: the duration of the monitoring period is divided into a number of time length subunits, and the time length subunits are divided into a number of time nodes;

[0014] The real-time wind pressure difference value of each time node is obtained, the real-time wind pressure difference values ​​of all time nodes in the time length subunit are sorted, the real-time wind pressure difference value group corresponding to the time length subunit is obtained, and the real-time wind pressure difference value group is processed to obtain the real-time wind pressure difference characterization value of the time length subunit.

[0015] As a further solution of the present invention: the real-time wind pressure difference characterization value of the time length subunit is compared with the real-time wind pressure characterization threshold of the time length subunit, and the time length subunit is divided into a time wind pressure difference subunit and a time wind pressure positive difference subunit;

[0016] The ratio of the number of temporal wind pressure difference sub-units to the total number of temporal length sub-units within a preset period is calculated to obtain the ratio of the number of temporal anomaly sub-units within the period.

[0017] As a further solution of the present invention: the real-time wind pressure difference characterization values ​​of all time length subunits within the cycle are summed and averaged to obtain the total table value of the real-time wind pressure difference within the cycle;

[0018] The real-time wind pressure difference representation values ​​of all the time wind pressure difference sub-units are summed and averaged to obtain the real-time wind pressure difference table value of the time wind pressure difference sub-unit;

[0019] The real-time wind pressure difference representation values ​​of all the time wind pressure positive difference subunits are summed and averaged to obtain the real-time wind pressure difference positive representation value of the time wind pressure positive difference subunit;

[0020] The difference between the real-time wind pressure difference table value of the time wind pressure difference subunit and the real-time wind pressure difference positive table value of the time wind pressure positive difference subunit is calculated to obtain the real-time wind pressure difference positive deviation value of the time wind pressure difference subunit;

[0021] The positive value of the real-time wind pressure difference of the non-time wind pressure difference subunit is calculated by ratio with the total table value of the real-time wind pressure difference in the positive cycle to obtain the positive deviation ratio of the real-time wind pressure difference in the cycle.

[0022] As a further solution of the present invention: the temperature difference characteristic data within the period includes the temperature and pressure variation time ratio, the temperature variation time ratio and the wind pressure variation time ratio;

[0023] The real-time temperature and pressure variation behavior value within the period is obtained by weighting the temperature and pressure variation time ratio, temperature variation time ratio and wind pressure variation time ratio.

[0024] As a further solution of the present invention: the duration of the monitoring period is divided into a number of time length subunits, and the time length subunits are divided into a number of time nodes;

[0025] Get the real-time temperature difference at each time node;

[0026] The real-time temperature difference values ​​of all time nodes in the time sub-unit are summed and averaged to obtain the real-time temperature difference table value of the time sub-unit.

[0027] Compare the real-time temperature difference table value of the time subunit with the real-time temperature difference table threshold of the time subunit;

[0028] The time subunit is divided into a time-temperature difference subunit and a time-temperature difference subunit.

[0029] As a further solution of the present invention: the real-time wind pressure difference behavior value within the cycle and the real-time temperature and pressure variation behavior value within the cycle are processed.

[0030] As a further solution of the present invention: a composite air duct operation energy consumption monitoring system, comprising:

[0031] A wind pressure analysis module, with a preset cycle, is used to collect wind pressure values ​​at the air inlet and outlet ends of the composite air duct within the cycle, and process the wind pressure difference between the air inlet and outlet ends of the composite air duct to obtain wind pressure difference characteristic data within the cycle, and obtain real-time wind pressure difference behavior value within the cycle based on the wind pressure difference characteristic data within the cycle;

[0032] The temperature analysis module is used to collect the temperature values ​​of the air inlet and the air outlet of the composite air duct within a cycle, and process the temperature difference between the air inlet and the air outlet of the composite air duct to obtain the temperature difference characteristic data within the cycle, and obtain the real-time temperature and pressure variation behavior value within the cycle based on the temperature difference characteristic data within the cycle;

[0033] The temperature and pressure fusion module processes the real-time wind pressure difference behavior value and the real-time temperature and pressure variation behavior value within the cycle to obtain the operation monitoring behavior value of the composite air duct within the cycle, and completes the monitoring of the operation status of the composite air duct based on the operation monitoring behavior value of the composite air duct within the cycle.

[0034] Beneficial effects of the present invention: The present invention processes the wind pressure difference and temperature difference between the air inlet end and the air outlet end of the composite air duct within a preset period, that is, by processing the time abnormal unit number ratio within the period, the real-time wind pressure difference positive deviation ratio within the period and the real-time wind pressure difference characterization volatility within the period, the real-time wind pressure difference behavior value within the period is obtained, and then by processing the temperature and pressure variation time ratio, the temperature variation time ratio and the wind pressure variation time ratio, the real-time temperature and pressure variation behavior value within the period is obtained, based on the real-time temperature and pressure variation behavior value within the period and the real-time wind pressure difference behavior value within the period, the operation monitoring behavior value of the composite air duct within the period is obtained, thereby realizing the identification of the operating status of the composite air duct from the changes in the wind pressure and temperature of the composite air duct, with strong reliability, and completing the evaluation of the energy consumption of the composite air duct during operation according to the operating status of the composite air duct. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 It is a flow chart of a method for monitoring the operating energy consumption of a composite air duct according to an embodiment of the present invention;

[0037] Figure 2 It is a flow chart of composite air duct status level identification in a composite air duct operation energy consumption monitoring method according to an embodiment of the present invention;

[0038] Figure 3 It is a flowchart of a system for monitoring the energy consumption of a composite air duct according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example 1

[0041] See also Figure 1 As shown, the present invention is a method for monitoring the operation energy consumption of a composite air duct, comprising the following steps:

[0042] Preset a cycle, collect wind pressure values ​​at the air inlet end and the air outlet end of the composite air duct within the cycle, and process the wind pressure difference between the air inlet end and the air outlet end of the composite air duct to obtain wind pressure difference characteristic data within the cycle, and obtain a real-time wind pressure difference behavior value within the cycle based on the wind pressure difference characteristic data within the cycle;

[0043] The temperature values ​​of the air inlet and the air outlet of the composite air duct are collected during the cycle, and the temperature difference between the air inlet and the air outlet of the composite air duct is processed to obtain the temperature difference characteristic data during the cycle, and the real-time temperature and pressure variation behavior value during the cycle is obtained based on the temperature difference characteristic data during the cycle;

[0044] By processing the real-time wind pressure difference behavior value within the cycle and the real-time temperature and pressure variation behavior value within the cycle, the operation monitoring behavior value of the composite air duct within the cycle is obtained, and the operation status of the composite air duct is monitored based on the operation monitoring behavior value of the composite air duct within the cycle.

[0045] The cycle duration includes but is not limited to 1 month, 3 months or 6 months.

[0046] A pressure sensor is arranged at the air inlet end of the composite air duct, and the wind pressure value at the air inlet end of the composite air duct is collected by the pressure sensor to obtain the real-time wind pressure value at the air inlet end of the composite air duct;

[0047] A pressure sensor is arranged at the air outlet end of the composite air duct, and the air pressure value at the air outlet end of the composite air duct is collected by the pressure sensor to obtain the real-time air pressure value at the air outlet end of the composite air duct;

[0048] Preset a monitoring period, divide the duration of the monitoring period into a number of time length sub-units, and divide the time length sub-units into a number of time nodes;

[0049] At each time node, the difference between the real-time wind pressure value at the air inlet end of the composite air duct and the real-time wind pressure value at the air outlet end of the composite air duct is calculated, and the absolute value of the obtained difference is taken to obtain the real-time wind pressure difference at each time node;

[0050] The real-time wind pressure difference at the time node is recorded as F i, where i is the number of time nodes in the time length subunit, i = 1, 2, ..., n;

[0051] The real-time wind pressure difference values ​​of all time nodes in the time length subunit are sorted to obtain the real-time wind pressure difference value groups F1, F2, F3, ..., Fn corresponding to the time length subunit;

[0052] According to the formula The standard deviation value Fa of the real-time wind pressure difference value group of the time length subunit is calculated, where Fp is the average value of the deviation value groups F1, F2, F3, ..., Fn;

[0053] If the standard deviation value Fa of the real-time wind pressure difference value group of the time length subunit is greater than or equal to the preset standard deviation value Zt, the maximum value and / or the minimum value in the real-time wind pressure difference value group data of the time length subunit is deleted, and the remaining data in the real-time wind pressure difference value group of the time length subunit is summed and averaged to obtain the real-time wind pressure difference representation value of the time length subunit;

[0054] If the standard deviation value Fa of the real-time wind pressure difference value group of the time length subunit is less than the preset standard deviation value Zt, then all data in the real-time wind pressure difference value group of the time length subunit are summed and averaged to obtain the real-time wind pressure difference representation value of the time length subunit, and recorded as Zt i;

[0055] The real-time wind pressure characterization threshold value of the preset time length subunit is Ztb, and the real-time wind pressure difference characterization value Zt i of the time length subunit is compared with the real-time wind pressure characterization threshold value Ztb of the time length subunit;

[0056] If the real-time wind pressure difference characterization value Zt i of the time length subunit is greater than or equal to the real-time wind pressure characterization threshold value Ztb of the time length subunit, then the time length subunit is recorded as a time wind pressure difference subunit;

[0057] If the real-time wind pressure difference characterization value Zt i of the time length subunit is less than the real-time wind pressure characterization threshold value Ztb of the time length subunit, the time length subunit is recorded as a time wind pressure positive difference subunit.

[0058] Obtain the number of time wind pressure difference subunits and the number of time wind pressure positive difference subunits within a preset period, calculate the ratio of the number of time wind pressure difference subunits to the total number of time length subunits within the preset period, and obtain the time anomaly unit number ratio within the period;

[0059] The real-time wind pressure difference representation values ​​Zt i of all time length sub-units in the cycle are summed and averaged to obtain the total value of the real-time wind pressure difference in the cycle;

[0060] The real-time wind pressure difference representation values ​​of all the time wind pressure difference sub-units are summed and averaged to obtain the real-time wind pressure difference table value of the time wind pressure difference sub-unit;

[0061] The real-time wind pressure difference representation values ​​of all the time wind pressure positive difference subunits are summed and averaged to obtain the real-time wind pressure difference positive representation value of the time wind pressure positive difference subunit;

[0062] The difference between the real-time wind pressure difference table value of the time wind pressure difference subunit and the real-time wind pressure difference positive table value of the time wind pressure positive difference subunit is calculated to obtain the real-time wind pressure difference positive deviation value of the time wind pressure difference subunit;

[0063] The positive value of the real-time wind pressure difference of the non-time wind pressure difference sub-unit is calculated by ratio with the total value of the real-time wind pressure difference in the positive cycle to obtain the positive deviation ratio of the real-time wind pressure difference in the cycle;

[0064] The real-time wind pressure difference characterization value Zt i of all time length subunits in the period is processed according to the variance to obtain the real-time wind pressure difference characterization variance of the time length subunit;

[0065] The real-time wind pressure difference representation variance of the time length subunit is multiplied by the real-time wind pressure difference representation amplitude ratio of the time length subunit to obtain the real-time wind pressure difference representation volatility within the period;

[0066] Among them, the process of obtaining the real-time wind pressure difference representation amplitude ratio of the time length subunit is:

[0067] The maximum and minimum values ​​of the real-time wind pressure difference representation value of the time length subunit within the cycle are calculated by difference, so as to obtain the real-time wind pressure difference representation amplitude of the time length subunit within the cycle;

[0068] The ratio of the real-time wind pressure difference representation amplitude of the time length subunit within the cycle to the total table value of the real-time wind pressure difference within the cycle is calculated to obtain the real-time wind pressure difference representation amplitude ratio of the time length subunit.

[0069] The ratio of the number of time abnormal units within the period is recorded as Zs;

[0070] The positive and negative ratio of the real-time wind pressure difference within the period is recorded as Zy;

[0071] The real-time wind pressure difference within the period represents the volatility as Zb;

[0072] By formula The real-time wind pressure difference behavior value Zi within the period is calculated, where a1, a2, and a3 are preset proportional coefficients, and a1, a2, and a3 are all greater than zero.

[0073] A temperature sensor is arranged at the air inlet end of the composite air duct, and the temperature data of the air inlet end of the composite air duct is collected by the temperature sensor to obtain the real-time temperature value of the air inlet end of the composite air duct;

[0074] A temperature sensor is arranged at the air outlet end of the composite air duct, and the temperature data of the air outlet end of the composite air duct is collected by the temperature sensor to obtain the real-time temperature value of the air outlet end of the composite air duct;

[0075] At each time node, the difference between the real-time temperature value at the air inlet end of the composite air duct and the real-time temperature value at the air outlet end of the composite air duct is calculated, and the absolute value of the obtained difference is taken to obtain the real-time temperature difference at each time node;

[0076] The real-time temperature difference values ​​of all time nodes in the time subunit are summed and averaged to obtain the real-time temperature difference table value of the time subunit;

[0077] Compare the real-time temperature difference table value of the time subunit with the real-time temperature difference table threshold of the time subunit;

[0078] If the real-time temperature difference table value of the time subunit is greater than or equal to the real-time temperature difference table threshold of the time subunit, the time subunit is recorded as a time-temperature difference subunit;

[0079] If the real-time temperature difference table value of the time subunit is less than the real-time temperature difference table threshold of the time subunit, the time subunit is recorded as a time-temperature positive difference subunit;

[0080] The time length subunit that belongs to both the time wind pressure anomaly subunit and the time temperature anomaly subunit is recorded as the temperature and pressure variation subunit;

[0081] Obtain the time length corresponding to the temperature and pressure variation subunit, sum up the time lengths corresponding to all temperature and pressure variation subunits, and obtain the total temperature and pressure variation time length;

[0082] The total duration of temperature and pressure variation is calculated by the ratio of the total duration of the cycle to obtain the temperature and pressure variation time ratio, which is recorded as Twy;

[0083] Obtain the time length corresponding to the time-temperature difference subunit only belonging to the time-length subunit, sum up the time lengths corresponding to all time-temperature difference subunits, and obtain the time-temperature variation duration;

[0084] The time-to-temperature variation duration is calculated by ratio to the total duration of the cycle to obtain the temperature variation time ratio and record it as Tw;

[0085] Obtain the time length corresponding to the time wind pressure difference subunit only belonging to the time length subunit, sum up the time lengths corresponding to all time wind pressure difference subunits, and obtain the time wind pressure variation duration;

[0086] The ratio of the wind pressure variation duration to the total duration of the cycle is calculated to obtain the wind pressure variation time ratio, which is recorded as Ty;

[0087] The temperature and pressure variation time ratio Twy, the temperature variation time ratio Tw and the wind pressure variation time ratio Ty are weighted to obtain the real-time temperature and pressure variation behavior value Ti within the period;

[0088] In some embodiments, the temperature and pressure variation time ratio Twy, the temperature variation time ratio Tw and the wind pressure variation time ratio Ty are obtained, and the real-time temperature and pressure variation behavior value Ti within the period is calculated by the formula Ti=Twy*d1+Tw*d2+Ty*33, wherein d1, d2 and d3 are weight coefficients, and d1+d2+d3=1.

[0089] Example 2

[0090] Based on the real-time wind pressure difference behavior value and real-time temperature and pressure variation behavior value obtained within the cycle, the operation monitoring of the composite pipeline is completed by monitoring the temperature and pressure loss changes during the transmission process of the composite pipeline within the cycle;

[0091] The real-time wind pressure difference behavior value Zi within the cycle and the real-time temperature and pressure variation behavior value Ti within the cycle are processed, that is, the operation monitoring behavior value Zt of the composite air duct within the cycle is calculated by the formula Zt=k*(Zi+Ti), where k is a preset proportional coefficient;

[0092] The process of obtaining the preset proportional coefficient is as follows:

[0093] There are m groups of historical data, each group of historical data includes the real-time wind pressure difference behavior value Zi within the period, the real-time temperature and pressure variation behavior value Ti within the period, and the operation monitoring behavior value Zt of the composite air duct within the period;

[0094] The m groups of historical data are fitted with a linear model, and the prepared historical data are brought into the selected fitting model for fitting, and the mean of the fitting coefficients is obtained as the preset proportional coefficient k.

[0095] The limit values ​​of the operation monitoring behavior values ​​of the composite air duct within the preset period are Zt1 and Zt2, where Zt1<Zt2;

[0096] Among them, the limit values ​​Zt1 and Zt2 of the operation monitoring behavior values ​​of the composite air duct within the cycle are empirical values, which are obtained based on experience:

[0097] In the actual obtaining process, there are many groups of real-time wind pressure difference behavior values ​​within a cycle and real-time temperature and pressure variation behavior values ​​within a cycle. Many groups of real-time wind pressure difference behavior values ​​within a cycle and real-time temperature and pressure variation behavior values ​​within a cycle are processed to obtain the corresponding operation monitoring behavior values ​​of the composite air duct within a cycle. The staff identifies the operation status level of the composite air duct according to so many groups of operation monitoring behavior values ​​of the composite air duct within a cycle, thereby obtaining the corresponding relationship between the operation monitoring behavior value of the composite air duct within a cycle and the operation status level of the composite air duct, and then derives and divides the operation monitoring behavior value of the composite air duct within a cycle according to the operation status of the composite air duct, thereby obtaining the limit values ​​Zt1 and Zt2 of the operation monitoring behavior value of the composite air duct within the cycle, and by comparing the limit values ​​of the operation monitoring behavior value of the composite air duct within the cycle, the operation status level of the composite air duct corresponding to the operation monitoring behavior value of the composite air duct within the cycle is identified;

[0098] See also Figure 2, when Zt < Zt1, it indicates that the overall operating state of the composite air duct is good, and the changes in temperature and / or pressure loss during the transmission process of the composite pipeline within the cycle are small;

[0099] When Zt1 ≤ Zt < Zt2, it indicates that the overall operating state of the composite air duct is average, and the changes in temperature and / or pressure loss during the transmission process of the composite pipeline within the cycle are moderate;

[0100] When Zt ≥ Zt2, it indicates that the overall operating state of the composite air duct is poor, and the changes in temperature and / or pressure loss during the transmission process of the composite pipeline within the cycle are large;

[0101] Thus, the effective monitoring of the energy consumption of the composite air duct during operation is completed.

[0102] Embodiment 3

[0103] Please refer to Figure 3 As shown, the present invention is an operating energy consumption monitoring system for a composite air duct, including:

[0104] A wind pressure analysis module, presetting a period, the wind pressure analysis module is used to collect the wind pressure values at the inlet end and the outlet end of the composite air duct within the period, and process based on the wind pressure difference between the inlet end and the outlet end of the composite air duct to obtain the wind pressure difference characteristic data within the period, and obtain the real-time wind pressure difference behavior value within the period based on the wind pressure difference characteristic data within the period;

[0105] A temperature analysis module, the temperature analysis module is used to collect the temperature values at the inlet end and the outlet end of the composite air duct within the period, and process based on the temperature difference between the inlet end and the outlet end of the composite air duct to obtain the temperature difference characteristic data within the period, and obtain the real-time temperature and pressure variation behavior value within the period based on the temperature difference characteristic data within the period;

[0106] A temperature and pressure fusion module, the temperature and pressure fusion module processes the real-time wind pressure difference behavior value within the period and the real-time temperature and pressure variation behavior value within the period to obtain the operating monitoring behavior value of the composite air duct within the period, and completes the monitoring of the operating state of the composite air duct based on the operating monitoring behavior value of the composite air duct within the period.

[0107] The above has described a detailed description of an embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A method for monitoring the operating energy consumption of a composite air duct, characterized in that: The following steps are involved: Preset a cycle, collect wind pressure values ​​at the air inlet end and the air outlet end of the composite air duct within the cycle, and process the wind pressure difference between the air inlet end and the air outlet end of the composite air duct to obtain wind pressure difference characteristic data within the cycle, and obtain a real-time wind pressure difference behavior value within the cycle based on the wind pressure difference characteristic data within the cycle; The temperature values ​​of the air inlet and the air outlet of the composite air duct are collected during the cycle, and the temperature difference between the air inlet and the air outlet of the composite air duct is processed to obtain the temperature difference characteristic data during the cycle, and the real-time temperature and pressure variation behavior value during the cycle is obtained based on the temperature difference characteristic data during the cycle; By processing the real-time wind pressure difference behavior value within the cycle and the real-time temperature and pressure variation behavior value within the cycle, the operation monitoring behavior value of the composite air duct within the cycle is obtained, and the operation status of the composite air duct is monitored based on the operation monitoring behavior value of the composite air duct within the cycle.

2. The method for monitoring the energy consumption of a composite air duct according to claim 1, characterized in that: The characteristic data of wind pressure difference include the ratio of the number of time anomaly units within the period, the positive deviation ratio of the real-time wind pressure difference within the period, and the volatility of the real-time wind pressure difference within the period; The real-time wind pressure difference behavior value within the period is calculated.

3. The method for monitoring the operation energy consumption of a composite air duct according to claim 2, characterized in that: Divide the duration of the monitoring period into a number of time length subunits, and divide the time length subunits into a number of time nodes; The real-time wind pressure difference value of each time node is obtained, the real-time wind pressure difference values ​​of all time nodes in the time length subunit are sorted, the real-time wind pressure difference value group corresponding to the time length subunit is obtained, and the real-time wind pressure difference value group is processed to obtain the real-time wind pressure difference characterization value of the time length subunit.

4. The method for monitoring the energy consumption of a composite air duct according to claim 3, characterized in that: The real-time wind pressure difference characterization value of the time length subunit is compared with the real-time wind pressure characterization threshold of the time length subunit, and the time length subunit is divided into a time wind pressure difference subunit and a time wind pressure positive difference subunit; The ratio of the number of temporal wind pressure difference sub-units to the total number of temporal length sub-units within a preset period is calculated to obtain the ratio of the number of temporal anomaly sub-units within the period.

5. The method for monitoring the operation energy consumption of a composite air duct according to claim 3, characterized in that: The real-time wind pressure difference representation values ​​of all time length sub-units in the cycle are summed and averaged to obtain the total value of the real-time wind pressure difference in the cycle; The real-time wind pressure difference representation values ​​of all the time wind pressure difference sub-units are summed and averaged to obtain the real-time wind pressure difference table value of the time wind pressure difference sub-unit.

6. The method for monitoring the operation energy consumption of a composite air duct according to claim 5, characterized in that: The real-time wind pressure difference representation values ​​of all the time wind pressure positive difference subunits are summed and averaged to obtain the real-time wind pressure difference positive representation value of the time wind pressure positive difference subunit; The difference between the real-time wind pressure difference table value of the time wind pressure difference subunit and the real-time wind pressure difference positive table value of the time wind pressure positive difference subunit is calculated to obtain the real-time wind pressure difference positive deviation value of the time wind pressure difference subunit; The positive value of the real-time wind pressure difference of the non-time wind pressure difference subunit is calculated by ratio with the total table value of the real-time wind pressure difference in the positive cycle to obtain the positive deviation ratio of the real-time wind pressure difference in the cycle.

7. The method for monitoring the operation energy consumption of a composite air duct according to claim 1, characterized in that: The characteristic data of temperature difference within a period include the time ratio of temperature and pressure variation, the time ratio of temperature variation and the time ratio of wind pressure variation; The real-time temperature and pressure variation behavior value within the period is obtained by weighting the temperature and pressure variation time ratio, temperature variation time ratio and wind pressure variation time ratio.

8. The method for monitoring the operation energy consumption of a composite air duct according to claim 7, characterized in that: Divide the duration of the monitoring period into a number of time length subunits, and divide the time length subunits into a number of time nodes; Get the real-time temperature difference at each time node; The real-time temperature difference values ​​of all time nodes in the time sub-unit are summed and averaged to obtain the real-time temperature difference table value of the time sub-unit. Compare the real-time temperature difference table value of the time subunit with the real-time temperature difference table threshold of the time subunit; The time subunit is divided into a time-temperature difference subunit and a time-temperature difference subunit.

9. The method for monitoring the operation energy consumption of a composite air duct according to claim 1, characterized in that: The real-time wind pressure difference behavior value within the cycle and the real-time temperature and pressure variation behavior value within the cycle are processed.

10. A composite air duct operation energy consumption monitoring system, the system implements the method according to claim 1, characterized in that: include: A wind pressure analysis module, with a preset cycle, is used to collect wind pressure values ​​at the air inlet and outlet ends of the composite air duct within the cycle, and process the wind pressure difference between the air inlet and outlet ends of the composite air duct to obtain wind pressure difference characteristic data within the cycle, and obtain real-time wind pressure difference behavior value within the cycle based on the wind pressure difference characteristic data within the cycle; The temperature analysis module is used to collect the temperature values ​​of the air inlet and the air outlet of the composite air duct within a cycle, and process the temperature difference between the air inlet and the air outlet of the composite air duct to obtain the temperature difference characteristic data within the cycle, and obtain the real-time temperature and pressure variation behavior value within the cycle based on the temperature difference characteristic data within the cycle; The temperature and pressure fusion module processes the real-time wind pressure difference behavior value and the real-time temperature and pressure variation behavior value within the cycle to obtain the operation monitoring behavior value of the composite air duct within the cycle, and completes the monitoring of the operation status of the composite air duct based on the operation monitoring behavior value of the composite air duct within the cycle.

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