CN113757944B - Air conditioning system fault diagnosis method and system based on air conditioning system model - Google Patents

Air conditioning system fault diagnosis method and system based on air conditioning system model Download PDF

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Publication number
CN113757944B
CN113757944B CN202111122550.7A CN202111122550A CN113757944B CN 113757944 B CN113757944 B CN 113757944B CN 202111122550 A CN202111122550 A CN 202111122550A CN 113757944 B CN113757944 B CN 113757944B
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energy consumption
cooling water
conditioning system
equipment
air conditioning
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CN113757944A (en
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杨雨瑶
潘峰
马键
宋强
张鼎衢
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Guangdong Power Grid Co Ltd
Measurement Center of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Measurement Center of Guangdong Power Grid Co Ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
    • F24F11/85—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using variable-flow pumps
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/20—Heat-exchange fluid temperature

Abstract

The invention provides an air conditioning system fault diagnosis method and system based on an air conditioning system model, wherein the method comprises the following steps: acquiring current energy consumption data of each device in the air conditioning system; judging whether all the equipment in the air-conditioning system consumes energy normally or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment; if all the equipment in the air-conditioning system consumes energy normally, determining that the air-conditioning system has no operation fault; if any equipment in the air conditioning system has abnormal energy consumption, acquiring the operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption. The method is suitable for buildings with good data base and deeper diagnosis depth, and improves the accuracy of fault diagnosis of the air conditioning system.

Description

Air conditioning system fault diagnosis method and system based on air conditioning system model
Technical Field
The invention relates to the technical field of air conditioner fault diagnosis, in particular to an air conditioner system fault diagnosis method and system based on an air conditioner system model.
Background
The existing research shows that the energy consumption of the air conditioning system is large in the total energy consumption of the building, and if the air conditioning system is not operated properly, a large amount of energy is wasted. And efficient operation of the air conditioning system needs to be based on the normal and efficient operation of the various sub-components. Therefore, fault diagnosis of the air conditioning system is an effective means for reducing building energy consumption. The existing air conditioner fault diagnosis methods can be broadly divided into three categories: quantitative model-based diagnostic methods (e.g., detailed and simplified physical models), qualitative model-based diagnostic methods (e.g., rule-based diagnostic methods and expert system methods), and historical process-based diagnostic methods (e.g., black box model methods). Specifically, the diagnosis method based on the quantitative model is to establish a detailed or simplified physical model and describe the system by using a mathematical equation, and the diagnosis method is to compare the simulation result of the model with the actual measurement information of a diagnosis object; the diagnosis method based on the qualitative model adopts a qualitative mode to describe the input and the output of the system, and then uses the qualitative relations to diagnose the fault; the historical process-based diagnostic method is a data-driven method that uses historical building operating data to establish system input and output relationships and then compares model output data with measured data to perform diagnostics.
Even if the existing air conditioner fault diagnosis method is developed more mature, the existing air conditioner fault diagnosis method is difficult to be applied in practice. Because the operational data of an actual building is often difficult to obtain. Moreover, most diagnostic methods require a large amount of data, require a large number of sensors to be installed in the building, and are costly.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an air conditioning system fault diagnosis method and system based on an air conditioning system model, and the accuracy of the air conditioning system fault diagnosis is improved.
The invention provides an air conditioning system fault diagnosis method based on an air conditioning system model, which comprises the following steps:
acquiring current energy consumption data of each device in an air conditioning system;
judging whether all the equipment in the air-conditioning system consumes energy normally or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment;
if all the devices in the air conditioning system consume normal energy, determining that the air conditioning system has no operation fault;
if any equipment in the air conditioning system has abnormal energy consumption, acquiring the operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption.
Further, the determining whether energy consumption of all the devices in the air conditioning system is normal according to the current energy consumption data of each device, the simulated energy consumption data corresponding to each device, and the diagnosis threshold corresponding to each device includes:
calculating the energy consumption variation of each device according to the current energy consumption data of each device and the simulated energy consumption data corresponding to each device;
judging the relation between the energy consumption variation of each piece of equipment and the diagnosis threshold corresponding to each piece of equipment;
if the energy consumption variation of each device is larger than the diagnosis threshold corresponding to each device, determining that the device with the energy consumption variation larger than the corresponding diagnosis threshold is an energy consumption abnormal device;
and if the energy consumption variation of each piece of equipment is smaller than or equal to the diagnosis threshold corresponding to each piece of equipment, determining that the equipment with the energy consumption variation smaller than or equal to the corresponding diagnosis threshold is normal operation equipment.
Further, if there is an energy consumption abnormality of any device in the air conditioning system, acquiring operation data of an energy consumption abnormal device, and diagnosing an operation fault of the energy consumption abnormal device according to the operation data and simulated operation data of the energy consumption abnormal device, including:
if the energy consumption of the tail end fan frequency converter is abnormal, acquiring the running cold load of the tail end fan frequency converter, and calculating to obtain the cold load change rate according to the running cold load and the simulated cold load;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the tail end fan is the operation fault of the frequency converter of the tail end fan.
Further, if there is an energy consumption abnormality of any device in the air conditioning system, acquiring operation data of an energy consumption abnormal device, and diagnosing an operation fault of the energy consumption abnormal device according to the operation data and simulated operation data of the energy consumption abnormal device, including:
if the energy consumption of the cooler is abnormal, acquiring the number of running coolers, the current inlet temperature of a condenser, the current inlet temperature of an evaporator, the current outlet temperature of the evaporator, the variable quantity of the actual evaporator pressure in a preset time period and the variable quantity of the actual condenser pressure in the preset time period;
if the running number of the cold machines is larger than the simulated number of the cold machines, determining that the running fault of the cold machines is abnormal in the starting number of the cold machines;
if the current inlet temperature of the condenser is larger than the inlet temperature threshold of the condenser, determining that the operation fault of the cooler is that the inlet temperature of the cooling water is too high;
if the current inlet temperature of the evaporator is larger than the inlet temperature threshold of the evaporator, determining that the running fault of the cold machine is that the return water temperature of the chilled water is too high;
if the current outlet temperature of the evaporator is less than the outlet temperature threshold of the evaporator, determining that the operation fault of the cold machine is that the outlet water temperature of the chilled water is too high;
if the variation of the actual evaporator pressure in a preset time period meets the evaporator pressure judgment condition, determining that the operation fault of the cold machine is evaporator scaling; wherein the evaporator pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000031
wherein, Δ P eva For the variation of the actual evaporator pressure over a preset time period, F chw_s Is the simulated volume flow, Δ P, of chilled water eva_rated Is the variation of the evaporator pressure in a preset time period under a rated working condition, F chw_rated The volume flow of the chilled water under the rated working condition;
if the variation of the actual condenser pressure in a preset time period meets the condenser pressure judgment condition, determining that the operation fault of the cooler is condenser scaling; wherein the condenser pressure determination condition is expressed by the following formula:
Figure BDA0003277486740000041
wherein, Δ P con For the variation of the actual condenser pressure within a predetermined time period, F cw_s For simulated volume flow of cooling water, Δ P con_rated Is the variation of the condenser pressure in a preset time period under a rated working condition, F cw_rated Is the volume flow of the cooling water under the rated working condition.
Further, if there is an energy consumption abnormality of any device in the air conditioning system, acquiring operation data of an energy consumption abnormal device, and diagnosing an operation fault of the energy consumption abnormal device according to the operation data and simulated operation data of the energy consumption abnormal device, including:
if the energy consumption of the chilled water pump is abnormal, acquiring the number of running chilled water pumps, the variable quantity of the pressure of an actual chilled water loop in a preset time period, the volume flow of the chilled water pump, the current temperature variable quantity of chilled water and the cold load change rate;
if the running number of the chilled water pumps is larger than the simulated number of the chilled water pumps, determining that the running fault of the chilled water pumps is abnormal in the number of the started chilled water pumps;
if the variation of the pressure of the actual chilled water loop in a preset time period meets the chilled water loop pressure judgment condition, determining that the operation fault of the chilled water pump is scaling blockage of the chilled water loop; wherein the chilled water loop pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000042
wherein, Δ P chwpipe For the variation of the pressure of the actual chilled water loop in a preset time period, F chw_s Is the simulated volume flow, Δ P, of chilled water chwpipe_rated Is the variation of the pressure of the chilled water loop in a preset time period under a rated working condition, F chw_rated The volume flow of the chilled water under the rated working condition;
if the volume flow of the chilled water pump meets the chilled water pump volume flow judgment condition or the chilled water lift meets the chilled water lift judgment condition, determining that the operation fault of the chilled water pump is that the water pump type selection is overlarge; wherein, the judgment condition of the volume flow of the chilled water pump is expressed by the following formula:
F chp_rated ＜1.2max(F chw_s )；
wherein, F chp_rated Is the volume flow of a chilled water pump under a rated working condition, F chw_s Simulating the volume flow for the chilled water;
the chilled water lift judgment condition is expressed by the following formula:
H cp_rated ＜1.2max(H cp_s )；
wherein H cp_rated For cooling water pump lift under rated operating conditions, H cp_s Simulating a lift for the cooling water pump;
if the current temperature variation of the chilled water meets the temperature variation condition of the chilled water, determining that the operation fault of the chilled water pump is large-flow small temperature difference; wherein, the temperature change condition of the freezing water is expressed by the following formula:
ΔT chw_m ＜ΔT chw_rated -2；
wherein, delta T chw_m Delta T is the current temperature change of the chilled water chw_rated Is the temperature of the chilled water under rated working conditionDegree of change;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the chilled water pump is the operation fault of the chilled water pump frequency converter.
Further, if there is an energy consumption abnormality of any device in the air conditioning system, acquiring operation data of an energy consumption abnormal device, and diagnosing an operation fault of the energy consumption abnormal device according to the operation data and simulated operation data of the energy consumption abnormal device, including:
if the energy consumption of the cooling water pump is abnormal, acquiring the number of running cooling water pumps, the variable quantity of the pressure of an actual cooling water loop in a preset time period, the volume flow of the cooling water pump, the current temperature variable quantity of the cooling water and the cold load change rate;
if the number of the running cooling water pumps is larger than the number of the simulation cooling water pumps, determining that the running fault of the cooling water pumps is abnormal in the number of the started cooling water pumps;
if the variation of the pressure of the actual cooling water loop in a preset time period meets the pressure judgment condition of the cooling water loop, determining that the operation fault of the cooling water pump is scaling blockage of the cooling loop; wherein, the cooling water loop pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000061
wherein, Δ P cwpipe For the variation of the pressure of the actual cooling water circuit within a preset time period, F cw_s For simulated volume flow of cooling water, Δ P cwpipe_rated Is the variation of the pressure of the cooling water loop in a preset time period under a rated working condition, F cw_rated The volume flow of the cooling water under the rated working condition;
if the volume flow of the cooling water pump meets the volume flow judgment condition of the cooling water pump or the lift of the cooling water meets the lift judgment condition of the cooling water, determining that the operation fault of the cooling water pump is that the water pump selection is too large; wherein, the judgment condition of the volume flow of the cooling water pump is expressed by the following formula:
F cp_rated ＜1.2max(F cw_s )；
wherein, F cp_rated Is the volume flow of the cooling water pump body under the rated working condition, F cw_s Simulating a volumetric flow rate for the cooling water;
the cooling water lift judgment condition is expressed by the following formula:
H cp_rated ＜1.2max(H cp_s )；
wherein H cp_rated Lift of cooling water pump H under rated working condition cp_s Simulating a lift for the cooling water pump;
if the current temperature variation of the cooling water meets the temperature variation condition of the cooling water, determining that the operation fault of the cooling water pump is large flow and small temperature difference; wherein, the temperature change condition of the cooling water is expressed by the following formula:
ΔT cw_m ＜ΔT cw_rated -2；
wherein, delta T cw_m For the current temperature change of the cooling water, Δ T cw_rated The temperature variation of the cooling water under the rated working condition;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling water pump is the operation fault of the frequency converter of the cooling water pump.
Further, if there is an energy consumption abnormality of any device in the air conditioning system, acquiring operation data of an energy consumption abnormal device, and diagnosing an operation fault of the energy consumption abnormal device according to the operation data and simulated operation data of the energy consumption abnormal device, including:
if the energy consumption of the cooling tower is abnormal, acquiring the number of running cooling towers, the change rate of the cold load and the current volume flow of cooling water;
if the number of the running cooling towers is larger than the number of the simulation cooling towers, determining that the running fault of the cooling towers is abnormal in the number of the started cooling towers;
if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling tower is the operation fault of the frequency converter of the cooling tower;
and if the difference value between the current volume flow of the cooling water and the simulated volume flow of the cooling water is smaller than a preset value and the actual temperature difference of the cooling water of the cooling tower is larger than the simulated temperature difference of the cooling water of the cooling tower, determining that the operation fault of the cooling tower is a heat dissipation fault.
The invention provides an air conditioning system fault diagnosis system based on an air conditioning system model, which comprises:
the energy consumption data acquisition module is used for acquiring the current energy consumption data of each device in the air conditioning system;
the judging module is used for judging whether all the equipment in the air conditioning system consumes normal energy or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment;
if all the equipment in the air-conditioning system consumes energy normally, determining that the air-conditioning system has no operation fault;
if any equipment in the air conditioning system has abnormal energy consumption, acquiring the operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption.
A third aspect of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements an air conditioning system fault diagnosis method based on an air conditioning system model according to any one of the first aspect.
A fourth aspect of the present invention provides a computer-readable storage medium, which includes a stored computer program, where when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the method for diagnosing the fault of the air conditioning system based on the air conditioning system model according to any one of the first aspect.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the invention provides an air conditioning system fault diagnosis method and system based on an air conditioning system model, wherein the method comprises the following steps: acquiring current energy consumption data of each device in an air conditioning system; judging whether all the equipment in the air-conditioning system consumes energy normally or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment; if all the devices in the air conditioning system consume normal energy, determining that the air conditioning system has no operation fault; if any equipment in the air conditioning system has abnormal energy consumption, acquiring the operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption. The method is suitable for buildings with good data bases and deep diagnosis depths, and the actual measurement energy consumption data of all parts in the air conditioning system and the simulation data of the established air conditioning system model are compared and analyzed, so that fault diagnosis is performed, and the accuracy of the fault diagnosis of the air conditioning system is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and obviously, the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an air conditioning system fault diagnosis method based on an air conditioning system model according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an exemplary variable frequency water pump according to an embodiment of the invention;
FIG. 3 is a schematic diagram of the diagnostic results of a chilled water pump and tip for a model-based fault diagnosis method according to an embodiment of the present invention;
fig. 4 is a diagram illustrating an apparatus of an air conditioning system fault diagnosis system based on an air conditioning system model according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
A first aspect.
Referring to fig. 1, an embodiment of the present invention provides an air conditioning system fault diagnosis method based on an air conditioning system model, including:
and S10, acquiring current energy consumption data of each device in the air conditioning system.
And S20, judging whether all the equipment in the air conditioning system is normal in energy consumption according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment.
And S30, if all the devices in the air conditioning system have normal energy consumption, determining that the air conditioning system has no operation fault.
S40, if any equipment in the air conditioning system is abnormal in energy consumption, acquiring operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption.
In a specific implementation manner of the embodiment of the present invention, the step S20 includes:
and calculating the energy consumption variation of each device according to the current energy consumption data of each device and the simulated energy consumption data corresponding to each device.
And judging the relation between the energy consumption variation of each piece of equipment and the corresponding diagnosis threshold value of each piece of equipment. And if the energy consumption variation of each piece of equipment is larger than the diagnosis threshold corresponding to each piece of equipment, determining that the equipment with the energy consumption variation larger than the corresponding diagnosis threshold is abnormal energy consumption equipment. And if the energy consumption variation of each piece of equipment is smaller than or equal to the diagnosis threshold corresponding to each piece of equipment, determining that the equipment with the energy consumption variation smaller than or equal to the corresponding diagnosis threshold is normal operation equipment.
In a specific implementation manner of the embodiment of the present invention, the step S40 includes:
if the energy consumption of the tail end fan frequency converter is abnormal, acquiring the running cold load of the tail end fan frequency converter, and calculating to obtain the cold load change rate according to the running cold load and the simulated cold load;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the tail end fan is the operation fault of the frequency converter of the tail end fan.
If the energy consumption of the cold machine is abnormal, acquiring the number of running cold machines, the current inlet temperature of a condenser, the current inlet temperature of an evaporator, the current outlet temperature of the evaporator, the variation of the actual evaporator pressure in a preset time period and the variation of the actual condenser pressure in the preset time period;
if the running number of the cold machines is larger than the simulated number of the cold machines, determining that the running fault of the cold machines is abnormal in the starting number of the cold machines;
if the current inlet temperature of the condenser is larger than the inlet temperature threshold of the condenser, determining that the operation fault of the cooler is that the inlet water temperature of the cooling water is too high;
if the current inlet temperature of the evaporator is larger than the inlet temperature threshold of the evaporator, determining that the running fault of the cooler is that the return water temperature of the chilled water is too high;
if the current outlet temperature of the evaporator is less than the outlet temperature threshold of the evaporator, determining that the operation fault of the cold machine is that the outlet water temperature of the chilled water is too high;
if the variation of the actual evaporator pressure in a preset time period meets the evaporator pressure judgment condition, determining that the operation fault of the cold machine is evaporator scaling; wherein the evaporator pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000111
wherein, Δ P eva For the variation of the actual evaporator pressure over a preset time period, F chw_s Is the simulated volume flow, Δ P, of chilled water eva_rated Is the variation of the evaporator pressure in a preset time period under a rated working condition, F chw_rated The volume flow of the chilled water under the rated working condition;
if the variation of the actual condenser pressure in a preset time period meets the condenser pressure judgment condition, determining that the operation fault of the cold machine is condenser scaling; wherein the condenser pressure determination condition is expressed by the following formula:
Figure BDA0003277486740000121
wherein, Δ P con For the variation of the actual condenser pressure over a predetermined period of time, F cw_s For simulated volume flow of cooling water, Δ P con_rated For condenser pressure at rated operating conditions, when presetAmount of change in period, F cw_rated Is the volume flow of the cooling water under the rated working condition.
If the energy consumption of the chilled water pump is abnormal, acquiring the number of running chilled water pumps, the variable quantity of the pressure of an actual chilled water loop in a preset time period, the volume flow of the chilled water pump, the current temperature variable quantity of chilled water and the cold load change rate;
if the number of the running chilled water pumps is larger than the number of the simulated chilled water pumps, determining that the running fault of the chilled water pumps is abnormal in the number of the started chilled water pumps;
if the variation of the actual chilled water loop pressure in a preset time period meets the chilled water loop pressure judgment condition, determining that the operation fault of the chilled water pump is scaling and blocking of the chilled loop; wherein the chilled water loop pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000122
wherein, Δ P chwpipe Is the variation of the pressure of the actual chilled water loop within a preset time period, F chw_s Is the simulated volume flow, Δ P, of chilled water chwpipe_rated Is the variation quantity of the pressure of the chilled water loop in a preset time period under a rated working condition, F chw_rated The volume flow of the chilled water under the rated working condition;
if the volume flow of the chilled water pump meets the chilled water pump volume flow judgment condition or the chilled water lift meets the chilled water lift judgment condition, determining that the operation fault of the chilled water pump is that the water pump type selection is overlarge; the judgment condition of the volume flow of the chilled water pump is expressed by the following formula:
F chp_rated ＜1.2max(F chw_s )；
wherein, F chp_rated Is the volume flow of a chilled water pump under a rated working condition, F chw_s Simulating the volume flow for the chilled water;
the chilled water lift judgment condition is expressed by the following formula:
H cp_rated ＜1.2max(H cp_s )；
wherein H cp_rated For cooling water pump lift under rated operating conditions, H cp_s Simulating a lift for the cooling water pump;
if the current temperature variation of the chilled water meets the temperature variation condition of the chilled water, determining that the operation fault of the chilled water pump is a large-flow small temperature difference; wherein, the temperature change condition of the freezing water is expressed by the following formula:
ΔT chw_m ＜ΔT chw_rated -2；
wherein, Δ T chw_m Is the current temperature variation of the chilled water, delta T chw_rated The temperature variation of the chilled water under the rated working condition;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the chilled water pump is the operation fault of the chilled water pump frequency converter.
If the energy consumption of the cooling water pump is abnormal, acquiring the number of running cooling water pumps, the variable quantity of the pressure of an actual cooling water loop in a preset time period, the volume flow of the cooling water pump, the current temperature variable quantity of the cooling water and the cold load change rate;
if the number of the running cooling water pumps is larger than the number of the simulation cooling water pumps, determining that the running fault of the cooling water pumps is abnormal in the number of the started cooling water pumps;
if the variation of the pressure of the actual cooling water loop in a preset time period meets the cooling water loop pressure judgment condition, determining that the operation fault of the cooling water pump is scaling blockage of the cooling loop; wherein, the cooling water loop pressure judgment condition is expressed by the following formula:
Figure BDA0003277486740000131
wherein, Δ P cwpipe For the variation of the pressure of the actual cooling water circuit within a preset time period, F cw_s For simulated volume flow of cooling water, Δ P cwpipe_rated Is the variation of the pressure of the cooling water loop in a preset time period under a rated working condition, F cw_rated The volume flow of the cooling water under the rated working condition;
if the volume flow of the cooling water pump meets the cooling water pump volume flow judgment condition or the lift of the cooling water meets the cooling water lift judgment condition, determining that the operation fault of the cooling water pump is that the water pump type selection is too large; wherein, the judgment condition of the volume flow of the cooling water pump is expressed by the following formula:
F cp_rated ＜1.2max(F cw_s )；
wherein, F cp_rated Is the volume flow of the cooling water pump body under the rated working condition, F cw_s Simulating a volumetric flow rate for the cooling water;
the cooling water lift judgment condition is expressed by the following formula:
H cp_rated ＜1.2max(H cp_s )；
wherein H cp_rated Lift of cooling water pump H under rated operating condition cp_s Simulating a lift for the cooling water pump;
if the current temperature variation of the cooling water meets the temperature variation condition of the cooling water, determining that the operation fault of the cooling water pump is a large-flow small temperature difference; wherein, the temperature change condition of the cooling water is represented by the following formula:
ΔT cw_m ＜ΔT cw_rated -2；
wherein, delta T cw_m For the current temperature change of the cooling water, Δ T cw_rated The temperature variation of the cooling water under the rated working condition;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling water pump is the operation fault of the frequency converter of the cooling water pump.
If the energy consumption of the cooling tower is abnormal, acquiring the number of running cooling towers, the change rate of the cold load and the current volume flow of cooling water;
if the number of the running cooling towers is larger than the number of the simulation cooling towers, determining that the running fault of the cooling towers is abnormal in the number of the started cooling towers;
if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling tower is the operation fault of the frequency converter of the cooling tower;
and if the difference value between the current volume flow of the cooling water and the simulated volume flow of the cooling water is smaller than a preset value and the actual temperature difference of the cooling water of the cooling tower is larger than the simulated temperature difference of the cooling water of the cooling tower, determining that the operation fault of the cooling tower is a heat dissipation fault.
The method provided by the invention is suitable for buildings with good data base and deeper diagnosis depth, and the actual measurement energy consumption data of each component in the air-conditioning system is compared and analyzed with the simulation data of the established air-conditioning system model, so that fault diagnosis is carried out, and the accuracy of fault diagnosis of the air-conditioning system is improved.
The invention further provides an air conditioning system fault diagnosis method based on the air conditioning system model, and the method is suitable for buildings with good data bases and deep diagnosis depths. The fault diagnosis method based on the model is a method for performing fault diagnosis by comparing and analyzing actual measurement energy consumption data of all parts in the air-conditioning system with simulation data of the established air-conditioning system model. It is mainly divided into two parts: energy efficiency diagnostics and operational fault diagnostics. Table 1 details the 20 fault types and their diagnostic methods using the model-based diagnostic method.
TABLE 4 Fault summary Using model-based diagnostic methods and diagnostic methods thereof
Figure BDA0003277486740000151
Figure BDA0003277486740000161
Wherein E is t_m For the current end-point energy consumption, E t_s For simulated energy consumption of the end-devices, L t For diagnostic threshold of end-devices, Δ Q i For the amount of change in cooling load, Q i As an initial amount of cold load, Δ E t_m For the energy consumption variation of the end equipment, Δ E t_m The variation of energy consumption of terminal equipment on the scale of → 0 tends to be 0,E c_m For the current energy consumption of the refrigerator, E c_s Simulated energy consumption for chillers, L c Diagnostic threshold for cold machine, N 0 Number of running units of the refrigerator, Q is the current cooling load of the refrigerator, Q rc For simulated cooling load of the cooler, T ce Is the current inlet temperature, T, of the condenser ce_LV Is the inlet temperature threshold of the condenser, T ee Is the current inlet temperature, T, of the evaporator ee_LV Is an evaporator inlet temperature threshold, T el Is the current outlet temperature, T, of the evaporator el_LV Is the evaporator outlet temperature threshold, Δ P eva For the variation of the actual evaporator pressure over a predetermined period of time, F chw_s Is the simulated volume flow, Δ P, of chilled water eva_rated Is the variation of the evaporator pressure in a preset time period under a rated working condition, F chw_rated Is the volume flow of the chilled water under the rated working condition, delta P con For the variation of the actual condenser pressure within a predetermined time period, F cw_s For simulated volume flow of cooling water, Δ P con_rated Is the variation of the condenser pressure in a preset time period under a rated working condition, F cw_rated Is the volume flow of cooling water under rated conditions, E chp_m For the current energy consumption of the chilled water pumps, E chp_s Simulated energy consumption for chilled water pumps, L chp As diagnostic threshold for chilled water pumps, N 1 Number of running chilled water pumps, F chw_s Simulated volume flow of chilled water, F chw_rated Is the volume flow of the chilled water under the rated working condition, delta P chwpipe Is the variation of the pressure of the actual chilled water loop within a preset time period, F chw_s Is the simulated volume flow, Δ P, of chilled water chwpipe_rated Is the variation quantity of the pressure of the chilled water loop in a preset time period under a rated working condition, F chw_rated Is the volume flow of the chilled water under the rated working condition, F chp_rated Is the volume flow of a chilled water pump under a rated working condition, F chw_s Simulating the volume flow, H, for chilled water cp_rated For cooling water pump lift under rated operating conditions, H cp_s For simulating lift, Δ T, of the cooling water pump chw_m Delta T is the current temperature change of the chilled water chw_rated Is the temperature variation of the chilled water under the rated working condition, E chp_m For the amount of energy consumption variation of the chilled water pump, E cp_m For the current energy consumption of the cooling water pump, E cp_s For simulating the energy consumption of the cooling water pump, L cp For diagnostic threshold of cooling water pump, N 2 For the number of operating cooling water pumps, F cw_s For simulated volume flow of cooling water, F cw_rated Is the volume flow, delta P, of the cooling water under rated conditions cwpipe For the variation of the pressure of the actual cooling water circuit within a preset time period, F cw_s For simulated volume flow of cooling water, Δ P cwpipe_rated Is the variation of the pressure of the cooling water loop in a preset time period under a rated working condition, F cw_rated Is the volume flow of cooling water under rated working condition, F cp_rated Is the volume flow of the cooling water pump body under the rated working condition, F cw_s Simulating the volumetric flow of cooling water H cp_rated Lift of cooling water pump H under rated working condition cp_s For simulating lift, delta T, of a cooling water pump cw_m Delta T is the current temperature change of the cooling water cw_rated Is the temperature variation of the cooling water under the rated working condition, delta Q cwi As the amount of change in cooling load of cooling water, Q cwi As an initial amount of cooling load of cooling water,. DELTA.E cp_m For the amount of energy consumption variation of the cooling water pump, E ct_m For the current energy consumption of the cooling tower, E ct_s For simulated energy consumption of cooling towers, L ct As a diagnostic threshold for cooling towers, N 3 For the number of operating cooling towers, Q ct For the current cooling load of the cooling tower, Q ct_rated For the cooling load of the cooling tower under nominal operating conditions, Δ E ct_m As an amount of energy consumption variation of the cooling tower, F cw For the volumetric flow of cooling water, F cw_s For simulated volume flow of cooling water, Δ T cw Current temperature change amount, Δ T, of cooling water cws Is the simulated temperature variation of the cooling water.
1. Energy efficiency diagnosis:
as shown in Table 1, the energy efficiency diagnosis is to compare actual energy of each deviceComparing the energy consumption with the energy consumption obtained by simulation, and judging the energy efficiency of each device, wherein L t 、L c 、L chp 、L cp And L ct The size of the equal threshold is determined according to actual conditions and the energy efficiency requirement of a user. The diagnosis method comprises the following specific steps: 1) Establishing an air conditioning system model; 2) Inputting meteorological parameters and specific parameters of air conditioning system equipment; 3) And comparing the actually measured energy consumption and the simulated energy consumption of each device.
1) Establishing an air conditioning system model:
in the invention, the model in the software Energyplus is adopted by the cold machine model, the coil pipe model, the fan model and the cooling tower model, and the invention is not described in detail and is detailed in the engineering reference of Energyplus. Only a pipe network model and a variable-frequency water pump model are introduced.
The pipeline expression form of the invention is a form of specific friction resistance, and the total specific friction resistance between two devices is directly input into the model regardless of the length of the pipeline.
S String ＝S 1 +S 2 +…+S x (14)
Figure BDA0003277486740000191
The water pump efficiency of the invention comprises three parts: water pump efficiency, motor efficiency and frequency conversion efficiency, as shown in fig. 2.
Taking a chilled water pump as an example, the energy consumption is calculated by equation (16):
Figure BDA0003277486740000192
wherein:
Figure BDA0003277486740000193
η chp ＝d 0 +d 1 (PLR chw )+d 2 (PLR chw ) 2 +d 3 (PLR chw ) 3 (18)
Figure BDA0003277486740000194
η chp_VFD ＝f 0 +f 1 (PLR chw )+f 2 (PLR chw ) 2 +f 3 (PLR chw ) 3 (20)
the three efficiency curves can be obtained by fitting sample data of the water pump, F chw For the time-by-time flow of chilled water, F chw_rated Is the rated flow. Note that the pump head is calculated as follows:
constant pressure difference system
Figure BDA0003277486740000195
Figure BDA0003277486740000196
Variable pressure differential system
Figure BDA0003277486740000197
Δ H is a set pressure difference, H chw_rated For rated lift, PLR chw Is the partial load rate of the chilled water pump. S is the specific friction resistance and can be obtained by actual measurement. F chw Is the chilled water flow.
2) Inputting weather parameters and specific parameters of air conditioning system equipment:
inputting meteorological parameters and parameters required by the model. And then, simulating the model and outputting the time-by-time energy consumption of each device.
3) Setting a corresponding threshold according to an actual condition, comparing the relative error of the actually measured energy consumption and the simulated energy consumption of the equipment, and if the relative error exceeds the threshold, determining that the equipment fails; otherwise, the equipment is considered to be normally operated.
In order to more clearly explain this section, the embodiments are explained. Fig. 3 shows the diagnostic results of the chilled water pump and tip of the example. The threshold was taken to be 20%. As can be seen from fig. 3, when the power consumption of the chilled water pump is higher than the simulated expected value in 9. Further investigation finds that the air conditioning system is in partial load operation condition at four moments, and the monitored temperature difference of the supply water and the return water is in the range of 1.5-3 ℃ and is far less than the set temperature of the system by 5 ℃, so that the phenomenon is caused because the frequency converter of the freezing water pump does not carry out reasonable flow regulation, and the fault of the F26 frequency converter is diagnosed.
Fig. 4 also shows the diagnosis result of the end device, and it can be seen that the measured value of the energy consumption of the end device is significantly higher than the analog value, and a fault occurs. Further investigation showed that the variable air volume air conditioning system end was still delivering air at full load under part load conditions, so the fault was F15.
2. And (3) operation fault diagnosis:
and further diagnosing the operation fault of the equipment with the energy efficiency diagnosis fault, and judging the specific fault of the equipment. The following is a detailed description in terms of the type of equipment.
1) End tip
And when the load change range of the air conditioning system exceeds 20% but the energy consumption of the tail end is not obviously changed, the frequency converter of the tail end fan is considered to have a fault, and the fault is F15.
2) Refrigerating machine
There are six kinds of cold machine faults. F16 is abnormal number of the started refrigerators, the diagnosis method is that the number of the refrigerators which should be started is obtained by rounding up the result of dividing the load of the air conditioning system by the rated refrigerating capacity of the refrigerator, and if the number of the actually started refrigerators is larger than the number of the refrigerators which should be started, the fault of the refrigerator is judged to occur F16. F17-19 shows the abnormality of the temperature of the chilled water and the cooling water, and compares the actual value with a limit value. F20-F21 are scaling faults of the evaporator and the condenser, judgment is carried out according to resistance, time-by-time specific friction resistance is obtained through time-by-time pressure difference and flow calculation whether to be larger than original specific friction resistance, 1.2 is a safety coefficient for diagnosis, and the original specific friction resistance can be obtained through calculation according to an equipment sample.
3) Freezing water pump
There are five types of failures of the chilled water pump. F22 is abnormal starting number, the diagnosis method is that the actually needed chilled water quantity is divided by the rated flow of the water pump, the result is rounded up to be the number of the water pumps which should be started, and if the actually started number is more than the number, a fault F22 occurs. The actually needed amount of the chilled water is calculated by the estimated cold load and the actually measured temperature difference of the chilled water supply and return water. F23 is a blockage fault, and the method is the same as the method for diagnosing the scaling fault of the cold machine evaporator. F24 is a water pump type selection fault, the method is to compare the rated flow or the lift of the water pump with the maximum flow or the lift obtained by the simulation calculation, if the rated flow or the lift is larger than the maximum flow or the lift, the fault occurs F24, and 1.2 is a safety coefficient for diagnosis. F25 is a fault of large flow and small temperature difference, and if the actual temperature difference is less than the set temperature difference and exceeds 2 ℃, the fault is considered to occur. And the fault diagnosis method of the F26 frequency converter is the same as that of the tail end fan frequency converter.
4) Cooling water pump
There are five types of failures of the cooling water pump. The diagnostic method is consistent with chilled water pumps. However, it should be noted that the cooling capacity of the cooling side is the sum of the cooling load of the air conditioning system and the power of the cooling machine.
5) Cooling tower
There are three types of cooling tower failures. The number of start-up stations and the method of diagnosing the frequency converter problem are the same as before. F34 is the fault of cooling tower heat dissipation, and the diagnosis method is that when the actual cooling water flow is similar to the simulated cooling water flow, but the cooling water temperature difference obtained by the actual cooling tower is higher than an ideal value. The actual cooling water flow is calculated by estimating the cooling load, actually measuring the supply and return water temperature of the cooling water and actually measuring the efficiency of the cooling machine.
In the fault diagnosis method based on the model, although part of equipment adopts the model of the software EnergyPlus, the whole building does not need to be modeled, the operation is simple, the universality is high, and the fault diagnosis method is not influenced by the building type.
A second aspect.
Referring to fig. 4, an embodiment of the present invention provides an air conditioning system fault diagnosis system based on an air conditioning system model, including:
the energy consumption data obtaining module 10 is configured to obtain current energy consumption data of each device in the air conditioning system.
A judging module 20, configured to judge whether energy consumption of all devices in the air conditioning system is normal according to the current energy consumption data of each device, the simulated energy consumption data corresponding to each device, and the diagnosis threshold corresponding to each device; if all the equipment in the air-conditioning system consumes energy normally, determining that the air-conditioning system has no operation fault; if any equipment in the air conditioning system has abnormal energy consumption, acquiring the operation data of the equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption.
The system provided by the invention is suitable for buildings with good data base and deeper diagnosis depth, and the actual measurement energy consumption data of each component in the air conditioning system is compared and analyzed with the simulation data of the established air conditioning system model, so that fault diagnosis is carried out, and the accuracy of fault diagnosis of the air conditioning system is improved.
And (c) a third aspect.
The present invention provides an electronic device, including:
a processor, a memory, and a bus;
the bus is used for connecting the processor and the memory;
the memory is used for storing operation instructions;
the processor is configured to call the operation instruction, and the executable instruction enables the processor to execute an operation corresponding to the air conditioning system fault diagnosis method based on the air conditioning system model according to the first aspect of the present application.
In an alternative embodiment, an electronic device is provided, as shown in fig. 5, the electronic device 5000 shown in fig. 5 includes: a processor 5001 and a memory 5003. The processor 5001 and the memory 5003 are coupled, such as via a bus 5002. Optionally, the electronic device 5000 may also include a transceiver 5004. It should be noted that the transceiver 5004 is not limited to one in practical application, and the structure of the electronic device 5000 is not limited to the embodiment of the present application.
The processor 5001 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 5001 may also be a combination of processors implementing computing functionality, e.g., a combination comprising one or more microprocessors, a combination of DSPs and microprocessors, or the like.
Bus 5002 can include a path that conveys information between the aforementioned components. The bus 5002 may be a PCI bus or EISA bus, etc. The bus 5002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The memory 5003 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 5003 is used for storing application program codes for executing the present solution, and the execution is controlled by the processor 5001. The processor 5001 is configured to execute application program code stored in the memory 5003 to implement aspects illustrated in any of the method embodiments described previously.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like.
A fourth aspect.
The present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for diagnosing a fault of an air conditioning system based on a model of the air conditioning system as set forth in the first aspect of the present application.
Yet another embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when run on a computer, enables the computer to perform the corresponding content in the aforementioned method embodiments.

Claims (9)

1. An air conditioning system fault diagnosis method based on an air conditioning system model is characterized by comprising the following steps:
acquiring current energy consumption data of each device in the air conditioning system;
judging whether all the equipment in the air-conditioning system consumes energy normally or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment;
if all the devices in the air conditioning system consume normal energy, determining that the air conditioning system has no operation fault;
if any equipment in the air conditioning system has abnormal energy consumption, acquiring operation data of equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption;
the judging whether the energy consumption of all the equipment in the air conditioning system is normal according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment comprises the following steps:
calculating the energy consumption variation of each device according to the current energy consumption data of each device and the simulated energy consumption data corresponding to each device;
judging the relation between the energy consumption variation of each piece of equipment and the diagnosis threshold corresponding to each piece of equipment;
if the energy consumption variation of each device is larger than the diagnosis threshold corresponding to each device, determining that the device with the energy consumption variation larger than the corresponding diagnosis threshold is an energy consumption abnormal device;
if the energy consumption variation of each piece of equipment is smaller than or equal to the diagnosis threshold corresponding to each piece of equipment, determining that the equipment with the energy consumption variation smaller than or equal to the corresponding diagnosis threshold is normal operation equipment;
if any equipment in the air conditioning system has abnormal energy consumption, acquiring operation data of the equipment with abnormal energy consumption, wherein the operation data comprises the following steps:
if the energy consumption of the tail end fan frequency converter is abnormal, acquiring the running cold load of the tail end fan frequency converter, and calculating to obtain the cold load change rate according to the running cold load and the simulated cold load;
if the energy consumption of the cold machine is abnormal, acquiring the number of running cold machines, the current inlet temperature of a condenser, the current inlet temperature of an evaporator, the current outlet temperature of the evaporator, the variation of the actual evaporator pressure in a preset time period and the variation of the actual condenser pressure in the preset time period;
if the energy consumption of the chilled water pump is abnormal, acquiring the number of running chilled water pumps, the variable quantity of the pressure of an actual chilled water loop in a preset time period, the volume flow of the chilled water pump, the current temperature variable quantity of chilled water and the cold load change rate;
if the energy consumption of the cooling water pump is abnormal, acquiring the number of running cooling water pumps, the variable quantity of the pressure of an actual cooling water loop in a preset time period, the volume flow of the cooling water pump, the current temperature variable quantity of the cooling water and the cold load change rate;
and if the energy consumption of the cooling tower is abnormal, acquiring the number of running cooling towers, the change rate of the cooling load and the current volume flow of the cooling water.
2. The air conditioning system fault diagnosis method based on the air conditioning system model as claimed in claim 1, wherein the diagnosing the operation fault of the abnormal energy consumption device according to the operation data and the simulated operation data of the abnormal energy consumption device comprises:
and for the tail end fan, if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the tail end fan is the operation fault of the frequency converter of the tail end fan.
3. The air conditioning system fault diagnosis method based on the air conditioning system model as claimed in claim 1, wherein the diagnosing the operation fault of the abnormal energy consumption device according to the operation data and the simulated operation data of the abnormal energy consumption device comprises:
for the cold machine, if the running number of the cold machine is larger than the simulated number of the cold machine, determining that the running fault of the cold machine is abnormal in the starting number of the cold machine;
if the current inlet temperature of the condenser is larger than the inlet temperature threshold of the condenser, determining that the operation fault of the cooler is that the inlet water temperature of the cooling water is too high;
if the current inlet temperature of the evaporator is larger than the inlet temperature threshold of the evaporator, determining that the running fault of the cooler is that the return water temperature of the chilled water is too high;
if the current outlet temperature of the evaporator is less than the outlet temperature threshold of the evaporator, determining that the operation fault of the cold machine is that the outlet water temperature of the chilled water is too high;
if the variation of the actual evaporator pressure in a preset time period meets the evaporator pressure judgment condition, determining that the operation fault of the cold machine is evaporator scaling; wherein the evaporator pressure judgment condition is expressed by the following formula:
Figure 795384DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 95915DEST_PATH_IMAGE002
the amount of change in the actual evaporator pressure over the preset time period,
Figure 194321DEST_PATH_IMAGE003
is a simulated volume flow of chilled water,
Figure 289316DEST_PATH_IMAGE004
the change quantity of the evaporator pressure under the rated working condition in the preset time period,
Figure 223905DEST_PATH_IMAGE005
the volume flow of the chilled water under the rated working condition;
if the variation of the actual condenser pressure in a preset time period meets the condenser pressure judgment condition, determining that the operation fault of the cold machine is condenser scaling; wherein the condenser pressure determination condition is represented by the following formula:
Figure 328128DEST_PATH_IMAGE006
wherein the content of the first and second substances,
Figure 218723DEST_PATH_IMAGE007
the amount of change in the actual condenser pressure over the preset time period,
Figure 812516DEST_PATH_IMAGE008
for a simulated volume flow of cooling water,
Figure 155772DEST_PATH_IMAGE009
the variable quantity of the condenser pressure under the rated working condition in a preset time period,
Figure 126002DEST_PATH_IMAGE010
is the volume flow of the cooling water under the rated working condition.
4. The air conditioning system fault diagnosis method based on the air conditioning system model as claimed in claim 1, wherein the diagnosing the operation fault of the abnormal energy consumption device according to the operation data and the simulated operation data of the abnormal energy consumption device comprises:
for the chilled water pumps, if the running number of the chilled water pumps is larger than the simulated number of the chilled water pumps, determining that the running fault of the chilled water pumps is abnormal in the number of the started chilled water pumps;
if the variation of the pressure of the actual chilled water loop in a preset time period meets the chilled water loop pressure judgment condition, determining that the operation fault of the chilled water pump is scaling blockage of the chilled water loop; wherein the chilled water loop pressure judgment condition is expressed by the following formula:
Figure 871104DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 635798DEST_PATH_IMAGE012
is the variation amount of the pressure of the actual chilled water loop within a preset time period,
Figure 466351DEST_PATH_IMAGE013
is a simulated volume flow of chilled water,
Figure 177955DEST_PATH_IMAGE014
the variable quantity of the pressure of the chilled water loop in the rated working condition in the preset time period,
Figure 92078DEST_PATH_IMAGE015
the volume flow of the chilled water under the rated working condition;
if the volume flow of the chilled water pump meets the chilled water pump volume flow judgment condition or the chilled water lift meets the chilled water lift judgment condition, determining that the operation fault of the chilled water pump is that the water pump type selection is overlarge; wherein, the judgment condition of the volume flow of the chilled water pump is expressed by the following formula:
Figure 965356DEST_PATH_IMAGE016
wherein the content of the first and second substances,
Figure 345522DEST_PATH_IMAGE017
is the volume flow of the chilled water pump under the rated working condition,
Figure 329658DEST_PATH_IMAGE018
simulating the volume flow for the chilled water;
the chilled water lift judgment condition is expressed by the following formula:
Figure 111669DEST_PATH_IMAGE019
wherein, the first and the second end of the pipe are connected with each other,
Figure 155849DEST_PATH_IMAGE020
the lift of the cooling water pump under the rated working condition,
Figure 23310DEST_PATH_IMAGE021
simulating a lift for the cooling water pump;
if the current temperature variation of the chilled water meets the temperature variation condition of the chilled water, determining that the operation fault of the chilled water pump is a large-flow small temperature difference; wherein, the temperature change condition of the freezing water is expressed by the following formula:
Figure 811138DEST_PATH_IMAGE022
wherein, the first and the second end of the pipe are connected with each other,
Figure 650918DEST_PATH_IMAGE023
in order to change the current temperature of the chilled water,
Figure 679048DEST_PATH_IMAGE024
the temperature variation of the chilled water under the rated working condition;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the chilled water pump is the operation fault of the chilled water pump frequency converter.
5. The air conditioning system fault diagnosis method based on the air conditioning system model as claimed in claim 1, wherein the diagnosing the operation fault of the abnormal energy consumption device according to the operation data and the simulated operation data of the abnormal energy consumption device comprises:
for the cooling water pumps, if the running number of the cooling water pumps is larger than the simulated number of the cooling water pumps, determining that the running fault of the cooling water pumps is abnormal in the starting number of the cooling water pumps;
if the variation of the pressure of the actual cooling water loop in a preset time period meets the cooling water loop pressure judgment condition, determining that the operation fault of the cooling water pump is scaling blockage of the cooling loop; wherein, the cooling water loop pressure judgment condition is expressed by the following formula:
Figure 705910DEST_PATH_IMAGE025
wherein the content of the first and second substances,
Figure 359745DEST_PATH_IMAGE026
for the amount of change in the pressure of the actual cooling water loop in the preset time period,
Figure 788452DEST_PATH_IMAGE027
for a simulated volume flow of cooling water,
Figure 236751DEST_PATH_IMAGE028
the variation quantity of the pressure of the cooling water loop in the rated working condition in the preset time period,
Figure 16488DEST_PATH_IMAGE029
the volume flow of the cooling water under the rated working condition;
if the volume flow of the cooling water pump meets the cooling water pump volume flow judgment condition or the lift of the cooling water meets the cooling water lift judgment condition, determining that the operation fault of the cooling water pump is that the water pump type selection is too large; wherein, the judgment condition of the volume flow of the cooling water pump is expressed by the following formula:
Figure 208435DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure 757228DEST_PATH_IMAGE031
is the volume flow of the cooling water pump body under the rated working condition,
Figure 579691DEST_PATH_IMAGE032
simulating the volume flow for the cooling water;
the cooling water lift judgment condition is expressed by the following formula:
Figure 892729DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 826050DEST_PATH_IMAGE034
the lift of the cooling water pump under the rated working condition,
Figure 26087DEST_PATH_IMAGE035
simulating a lift for the cooling water pump;
if the current temperature variation of the cooling water meets the temperature variation condition of the cooling water, determining that the operation fault of the cooling water pump is large flow and small temperature difference; wherein, the temperature change condition of the cooling water is expressed by the following formula:
Figure 19451DEST_PATH_IMAGE036
wherein the content of the first and second substances,
Figure 570518DEST_PATH_IMAGE037
in order to cool the current temperature variation amount of the water,
Figure 41951DEST_PATH_IMAGE038
the temperature variation of the cooling water under the rated working condition;
and if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling water pump is the operation fault of the frequency converter of the cooling water pump.
6. The air conditioning system fault diagnosis method based on the air conditioning system model as claimed in claim 1, wherein the diagnosing the operation fault of the abnormal energy consumption device according to the operation data and the simulated operation data of the abnormal energy consumption device comprises:
for the cooling tower, if the number of the running cooling towers is larger than the number of the simulated cooling towers, determining that the running fault of the cooling tower is abnormal in the number of the opened cooling towers;
if the cold load change rate is larger than a preset threshold value, determining that the operation fault of the cooling tower is the operation fault of the frequency converter of the cooling tower;
and if the difference value between the current volume flow of the cooling water and the simulated volume flow of the cooling water is smaller than a preset value and the actual temperature difference of the cooling water of the cooling tower is larger than the simulated temperature difference of the cooling water of the cooling tower, determining that the operation fault of the cooling tower is a heat dissipation fault.
7. An air conditioning system fault diagnosis system based on an air conditioning system model, which adopts the air conditioning system fault diagnosis method based on the air conditioning system model as claimed in any one of claims 1 to 6, and is characterized by comprising the following steps:
the energy consumption data acquisition module is used for acquiring the current energy consumption data of each device in the air conditioning system;
the judging module is used for judging whether all the equipment in the air conditioning system consumes normal energy or not according to the current energy consumption data of each piece of equipment, the simulated energy consumption data corresponding to each piece of equipment and the diagnosis threshold value corresponding to each piece of equipment;
if all the devices in the air conditioning system consume normal energy, determining that the air conditioning system has no operation fault;
if any equipment in the air conditioning system has abnormal energy consumption, acquiring operation data of equipment with abnormal energy consumption, and diagnosing the operation fault of the equipment with abnormal energy consumption according to the operation data and the simulated operation data of the equipment with abnormal energy consumption;
the determining whether the energy consumption of all the devices in the air conditioning system is normal according to the current energy consumption data of each device, the simulated energy consumption data corresponding to each device, and the diagnosis threshold value corresponding to each device includes:
calculating the energy consumption variation of each device according to the current energy consumption data of each device and the simulated energy consumption data corresponding to each device;
judging the relation between the energy consumption variation of each piece of equipment and the diagnosis threshold corresponding to each piece of equipment;
if the energy consumption variation of each device is greater than the diagnostic threshold corresponding to each device, determining that the device with the energy consumption variation greater than the diagnostic threshold corresponding to each device is an energy consumption abnormal device;
and if the energy consumption variation of each piece of equipment is smaller than or equal to the diagnosis threshold corresponding to each piece of equipment, determining that the equipment with the energy consumption variation smaller than or equal to the corresponding diagnosis threshold is normal operation equipment.
8. An electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements an air conditioning system fault diagnosis method based on an air conditioning system model according to any one of claims 1 to 6.
9. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the method according to any one of claims 1 to 6.
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