CN116975502A - Energy efficiency monitoring management system for electromechanical equipment of subway train air conditioning system - Google Patents
Energy efficiency monitoring management system for electromechanical equipment of subway train air conditioning system Download PDFInfo
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Abstract
The application relates to the technical field of equipment management, and particularly discloses an energy efficiency monitoring management system for electromechanical equipment of an air conditioning system of a subway train. According to the application, the monitoring parameters of the condenser, the evaporator, the air supply fan and the air conditioner control cabinet of the subway train air conditioning system are analyzed in a combined mode, and the standard output electric power is analyzed, so that the failure energy efficiency analysis data of the subway train air conditioning system are obtained, the failure early warning and analysis data interpretation under the premise of analyzing the energy efficiency of the subway train air conditioning system are realized, the failure early warning and analysis are carried out while the energy efficiency monitoring management of the subway train air conditioning system is carried out, and the problem that the failure output parameters and the standard electric quantity cannot be analyzed in a combined mode by the existing electromechanical equipment energy efficiency monitoring and management system of the subway train air conditioning system is solved, and the failure early warning and analysis are carried out on the energy efficiency.
Description
Technical Field
The application relates to the technical field of subway train equipment management, in particular to an energy efficiency monitoring management system for electromechanical equipment of a subway train air conditioning system.
Background
The subway train is used as a rail transit vehicle with numerous electromechanical equipment parameters, and effectively monitors and manages environmental problems caused by direct relation to personnel safety guarantee, property protection and rail transit on the rail transit. The energy consumption problem caused by the operation of the electromechanical equipment of the subway train gradually becomes the work with extremely high attention of the monitoring and management of the electromechanical equipment of the current rail transit, and in the operation energy consumption of the subway train, the energy consumption of the energy consumption ratio is the largest when the air conditioning system of the subway train is used, the air conditioning system of the subway train has the characteristics of severe working environment, severe environment in the train, large fluctuation of air conditioning load and complex control circuit, so that the monitoring and management of the energy consumption of the air conditioning system of the subway train become complex and difficult. In the existing energy efficiency monitoring and management system of the subway train air conditioning system, the heating energy efficiency ratio (COP) and the refrigerating Energy Efficiency Ratio (EER) of the air conditioning system are generally adopted to analyze the energy efficiency, but the fault output parameters and the standard electricity consumption of the electromechanical equipment of each subway train air conditioning system are not analyzed in a combined way, and the fault early warning and analysis cannot be carried out according to the fault energy efficiency analysis data of the subway train air conditioning system. In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the defects in the prior art, the application provides an energy efficiency monitoring management system for electromechanical equipment of a subway train air conditioning system, which is used for acquiring fault energy efficiency analysis data by jointly analyzing monitoring parameters of a condenser, an evaporator, an air supply fan and an air conditioning control cabinet of the subway train air conditioning system and respective standard output electric power thereof, realizing fault early warning and analysis data interpretation under the premise of energy efficiency analysis of the subway train air conditioning system, and carrying out fault early warning and analysis while carrying out energy efficiency monitoring management of the subway train air conditioning system so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present application provides the following technical solutions: the energy efficiency monitoring management system for the electromechanical equipment of the subway train air conditioning system comprises an electromechanical equipment monitoring module, a data acquisition module, a fault energy efficiency analysis module and a fault energy efficiency display, wherein the electromechanical equipment monitoring module is connected with the data acquisition module, the data acquisition module is connected with the fault energy efficiency analysis module, and the fault energy efficiency analysis module is connected with the fault energy efficiency display; the failure energy efficiency analysis module obtains the failure energy efficiency index of the condenser, the failure energy efficiency index of the evaporator, the failure energy efficiency index of the air supply fan and the failure energy efficiency index of the air conditioner control cabinet of the air conditioning system of the subway train through the data analysis obtained by the data acquisition module, constructs a failure energy efficiency numerical model for the joint analysis of the failure energy efficiency of the condenser, the evaporator, the air supply fan and the control cabinet of the air conditioning system of the subway train, in the failure energy efficiency numerical model, creates an air conditioner cooling water loop, an air conditioner refrigerant loop, an air conditioner power supply channel and an air conditioner air supply pipeline two-dimensional simulation model according to the data and the information obtained by the air conditioning system of the subway train, and realizes the failure energy efficiency index of the condenser, the failure energy efficiency index of the evaporator, the failure energy efficiency index of the air supply fan and the air conditioner through the formula of the joint analysis index of the comprehensive failure energy efficiencyThe combined analysis of the control cabinet fault energy efficiency indexes, wherein the combined analysis indexes of the comprehensive fault energy efficiency are weighted sums of the condenser fault energy efficiency index, the evaporator fault energy efficiency index, the air supply fan fault energy efficiency index and the air conditioner control cabinet fault energy efficiency index, and the weights of the condenser fault energy efficiency index, the evaporator fault energy efficiency index, the air supply fan fault energy efficiency index and the air conditioner control cabinet fault energy efficiency index are respectively、/>、/>And +.>The formula of the comprehensive fault energy efficiency joint analysis index is as follows:
；
wherein:for the combined analysis index of comprehensive failure energy efficiency, +.>As an index of the energy efficiency of the condenser failure,is an index of the energy efficiency of the evaporator fault +.>Is an index of failure energy efficiency of the air supply fan, +.>Is an energy efficiency index of the failure of the air conditioner control cabinet, +.>、/>、/>And +.>The values of the air conditioner control cabinet are equally divided according to the important weight scores of each group of data faults by a prediction average voting (PMV) and prediction dissatisfaction percentage index (PPD) model based on an attribute hierarchy method by condenser fault energy efficiency data, evaporator fault energy efficiency data, air supply fan fault energy efficiency data and air conditioner control cabinet fault energy efficiency data, and the values meet the requirement>。
As a further scheme of the application, in the failure energy efficiency analysis module, the failure energy efficiency index of the evaporator is the ratio of the heat actually absorbed by the evaporator to the standard absorbed heat of the evaporator in failure, and the rated power and the real-time electricity price of the evaporator are multiplied by the formula of the failure energy efficiency index of the evaporator:
；
wherein:is the heat actually absorbed by the evaporator in case of failure, +.>Absorb heat for evaporator standard, < >>For rated power of evaporator, +.>Is the real-time electricity price.
As a further scheme of the application, in the failure energy efficiency index formula of the evaporator, the heat actually absorbed by the evaporator is the product of the temperature difference of the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator fails, and the standard absorbed heat of the evaporator is the product of the temperature difference of the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator works without failure for half an hour before the failure.
As a further scheme of the application, in the failure energy efficiency analysis module, the failure energy efficiency index of the condenser is the ratio of the enthalpy released during the failure of the condenser to the standard release enthalpy of the condenser, and the rated power and the real-time electricity price of the condenser are multiplied by the formula of the failure energy efficiency index of the condenser:
；
wherein:for the enthalpy value released in the event of a condenser failure, < >>For the standard release enthalpy of the condenser, +.>Is the rated electric power of the condenser.
As a further scheme of the application, in the formula of the condenser failure energy efficiency index, the enthalpy value released by the condenser in failure is the sum of the latent heat and the sensible heat released by the refrigerant in failure of the condenser, and the standard release enthalpy value of the condenser is the sum of the latent heat and the sensible heat released by the refrigerant in the condenser in failure of the condenser in the first half hour of failure-free operation.
As a further scheme of the application, in the failure energy efficiency analysis module, when the failure energy efficiency index of the air supply fan is failure, the ratio of the output air quantity of the air supply fan to the standard output air quantity of the air supply fan is multiplied by the rated electric power and the real-time electricity price of the air supply fan, and the formula of the failure energy efficiency index of the air supply fan is as follows:
；
wherein:output air quantity of air supply fan when in fault +.>The standard output air quantity of the air supply fan is the air supply air quantity of the air supply fan when the air supply fan works without faults for half an hour before the air supply fan breaks down, < >>Is the rated electric power of the air supply fan.
As a further scheme of the application, in the failure energy efficiency analysis module, the failure energy efficiency index of the air conditioner control cabinet is the ratio of the number of paths of failure control circuits in the air conditioner control cabinet to the total control circuits in the air conditioner control cabinet when the failure energy efficiency index is failed, and the formula of the failure energy efficiency index of the air conditioner control cabinet is as follows:
；
wherein:for the number of fault circuits in the air conditioner control cabinet, < >>Is the total circuit number in the air conditioner control cabinet, < >>Is the apparent power of the air conditioner control cabinet.
As a further aspect of the present application, the electromechanical device monitoring module includes a temperature sensor for measuring a temperature parameter in an air conditioning system of a subway train, a pressure sensor for measuring a pressure parameter in the air conditioning system, a humidity sensor for measuring a humidity parameter, a flow sensor for measuring a flow parameter, and a multifunctional electricity meter for measuring electric power.
As a further scheme of the application, the data acquisition module is used for receiving and processing the data acquired by the electromechanical equipment monitoring module of the subway train air conditioning system, converting the data of different types into uniform digital signals, and transmitting the uniform digital signals to the failure energy efficiency analysis module for analysis, storage and operation.
As a further scheme of the application, the failure energy efficiency display is used for displaying an air conditioner cooling water loop, an air conditioner refrigerant loop, an air conditioner power supply path and an air conditioner air supply pipeline two-dimensional simulation model in the subway train air conditioning system constructed by the failure energy efficiency analysis module, and realizing real-time display of operation data of the electromechanical equipment failure energy efficiency analysis module of the subway train air conditioning system.
The application discloses a technical effect and advantages of an energy efficiency monitoring management system for electromechanical equipment of a subway train air conditioning system, which are as follows: according to the application, the monitoring parameters of the condenser, the evaporator, the air supply fan and the air conditioner control cabinet of the subway train air conditioning system and the respective standard output electric power are jointly analyzed to obtain the failure energy efficiency analysis data, so that the failure early warning and analysis data interpretation under the premise of analyzing the energy efficiency of the subway train air conditioning system are realized, and the failure early warning and analysis are carried out while the energy efficiency monitoring management is carried out.
Drawings
Fig. 1 is a block diagram of an energy efficiency monitoring and management system for an electromechanical device of an air conditioning system of a subway train.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Examples
According to the energy efficiency monitoring management system for the electromechanical equipment of the subway train air conditioning system, monitoring parameters of the condenser, the evaporator, the air supply fan and the air conditioning control cabinet of the subway train air conditioning system and respective standard output electric power are analyzed in a combined mode, fault energy efficiency analysis data are obtained, fault early warning and analysis data interpretation under the premise of energy efficiency analysis are achieved, and fault early warning and analysis are carried out while energy efficiency monitoring management is carried out.
FIG. 1 shows a structural block diagram of an energy efficiency monitoring management system for electromechanical equipment of an air conditioning system of a subway train, which comprises an electromechanical equipment monitoring module, a data acquisition module, a fault energy efficiency analysis module and a fault energy efficiency display, wherein the electromechanical equipment monitoring module is connected with the data acquisition module, the data acquisition module is connected with the fault energy efficiency analysis module, and the fault energy efficiency analysis module is connected with the fault energy efficiency display; the failure energy efficiency analysis module obtains the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index of the subway train air conditioning system through data analysis obtained by the data acquisition module, constructs a failure energy efficiency numerical model for joint analysis of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index of the subway train air conditioning system, and creates an air conditioner cooling water loop, an air conditioner refrigerant loop, an air conditioner power supply channel and an air conditioner air supply pipeline two-dimensional simulation model according to data and information obtained by the subway train air conditioning system in the failure energy efficiency numerical model, and realizes joint analysis of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index through a formula of a joint analysis index of comprehensive failure energy efficiency, wherein the comprehensive failure energy efficiency index is a weighted sum of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index, and the air conditioner control cabinet failure energy efficiency index respectively、/>、/>And +.>The formula of the comprehensive fault energy efficiency joint analysis index is as follows:
；
wherein:for the combined analysis index of comprehensive failure energy efficiency, +.>As an index of the energy efficiency of the condenser failure,is an index of the energy efficiency of the evaporator fault +.>Is an index of failure energy efficiency of the air supply fan, +.>Is an energy efficiency index of the failure of the air conditioner control cabinet, +.>、/>、/>And +.>The values of the air conditioner control cabinet are based on attribute hierarchy method by condenser fault energy efficiency data, evaporator fault energy efficiency data, air supply fan fault energy efficiency data and air conditioner control cabinet fault energy efficiency data, and according to the prediction average voting (PMV) and prediction dissatisfaction percentage index (PPD) model, the values of the air conditioner control cabinet fault energy efficiency data are important when the data are faulty according to each group of dataThe weight scores are equally divided and satisfy +.>。
Predicted average vote (PMV), the PMV values were taught by danish Fan Geer to characterize the human thermal response (sensation of coldness) and were: the environmental parameters only consider the air temperature, the flow rate, the average radiation temperature of the environmental surface, the relative humidity, and two variables are considered in the human body aspect: the six indexes of thermal resistance of clothes and activity of human body are used for judging the comfort level of the human body in the environment, and PMV is an index for measuring the comfort level.
The forecast dissatisfaction percentage index (PPD) has a data calculation relation between PMV and PPD, the PPD is that a few percent of people can feel comfortable, when the PMV is equal to 0, the people are not cold and not hot, and 90 people feel that the environment is comfortable under the PMV value, and the relation between the PPD and the PMV is that:
；
the process of realizing fault energy efficiency data evaluation based on attribute hierarchy method and carrying out equal proportion division according to the importance weight scores of the prediction average voting (PMV) and the prediction dissatisfaction percentage index (PPD) can be divided into the following steps:
step S1, determining an evaluation index: determining failure efficiency indexes to be evaluated, wherein the failure efficiency indexes comprise condenser failure energy efficiency data, evaporator failure energy efficiency data, air supply fan failure energy efficiency data and air conditioner control cabinet failure energy efficiency data;
step S2, constructing a hierarchical structure: constructing a hierarchical structure according to the evaluation index, wherein the hierarchical structure comprises the failure efficiency index as a bottommost index; classifying the indexes into proper upper indexes respectively to form a hierarchical structure;
step S3, setting a comparison matrix: for each level in the hierarchy, a pairwise comparison is required to set importance weights; comparing the relative importance of each pair of indexes according to expert judgment or subjective evaluation by using the scale of 1-9; the comparison matrix will contain relative importance weights between the various indicators;
step S4, calculating weights: calculating the weight of each index by carrying out consistency test on the comparison matrix; using an analytic hierarchy process to calculate a feature vector method and a consistency index;
step S5, normalization and equal ratio division: normalizing the calculated weights to ensure the proportional relation between the weights; according to the important weight scores of the PMV and PPD models, carrying out equal proportion division, and dividing the importance weights into a plurality of grades;
step S6, evaluating fault energy efficiency data: multiplying the actual failure energy efficiency data by the divided importance weights to obtain a comprehensive score of each failure efficiency index; the individual fault performance indicators can be ranked and evaluated according to the composite score.
The process provides a systematic method for evaluating the importance of the failure energy efficiency data of the subway train air conditioning system, helps to determine the priority and influence degree of the failure of different electromechanical equipment of the subway train air conditioning system, quantifies and compares the importance of different indexes, reduces the influence of subjective factors on an evaluation result, objectively evaluates the failure energy efficiency of the subway train air conditioning system according to actual data and weight distribution, helps to identify and solve the subjective problems existing in weight setting, and can intuitively know the relative importance degree of each failure energy efficiency index through equal proportion division and comprehensive score, thereby providing a reference basis for decision.
In the failure energy efficiency analysis module, the failure energy efficiency index of the evaporator is the ratio of the heat actually absorbed by the evaporator to the standard absorbed heat of the evaporator in failure, and the rated electric power and the real-time electricity price of the evaporator are multiplied by the formula of the failure energy efficiency index of the evaporator:
；
wherein:is the actual absorption of the evaporator in case of failureHeat of (1)>Absorb heat for evaporator standard, < >>For rated power of evaporator, +.>Is the real-time electricity price.
The analysis of the air conditioning system of the subway train by using the calculation mode has the following advantages:
evaluating the effect of evaporator failure on energy efficiency: the index can quantify the influence degree of the evaporator fault of the subway train air conditioning system on the energy efficiency, and can evaluate the heat loss condition of the evaporator in the fault state by comparing the ratio of the actual heat absorption to the standard heat absorption, thereby being beneficial to realizing the heat analysis of the subway train air conditioning system under the condition of complex running state and changeable subway train carriage load.
Consider the rated power and real-time electricity price of the evaporator: the rated electric power and the real-time electric price of the evaporator of the air conditioning system of the subway train are multiplied by the ratio, so that the energy cost factor can be considered; the calculated value can reflect the influence of the mechanical and electrical equipment faults of the air conditioning system of the subway train on energy consumption and cost, and helps the work of the air conditioning operation staff and decision staff of the subway train to provide a data basis for decision making and analysis.
Auxiliary fault diagnosis and optimization maintenance: through monitoring and analyzing the index, the problems of evaporator faults and heat loss of the subway train air conditioning system can be found in time, and the diagnosis and maintenance optimization of the electromechanical equipment faults of the subway train air conditioning system are assisted; if the index value indicates that the evaporator has a problem, the evaporator needs to be overhauled or replaced.
Guiding energy efficiency improvement measures: by comparing the failure energy efficiency indexes of different evaporators, the evaporators with poor performance can be determined, and energy efficiency improvement measures of electromechanical equipment of the air conditioning system of the subway train can be adopted pertinently, so that the energy efficiency level of the whole air conditioning system is improved, and the energy consumption and the running cost are reduced.
The calculation mode of the evaporator fault energy efficiency index can quantify the influence of the evaporator fault on energy efficiency, and combines the energy consumption complexity of the subway train in operation, and the energy cost factor is considered, so that guidance and decision basis are provided for fault diagnosis, optimized maintenance and energy efficiency improvement of the electromechanical equipment of the subway train air conditioning system, and the energy efficiency performance and economic benefit of the system are improved.
Specifically, in the failure energy efficiency index formula of the evaporator, the actual heat absorbed by the evaporator is the product of the temperature difference between the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator fails, and the standard heat absorbed by the evaporator is the product of the temperature difference between the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator works without failure for half an hour before the failure.
In the failure energy efficiency analysis module, the failure energy efficiency index of the condenser is the ratio of the enthalpy released during the failure of the condenser to the standard release enthalpy of the condenser, and the rated electric power and the real-time electricity price of the condenser are multiplied by the formula of the failure energy efficiency index of the condenser:
；
wherein:for the enthalpy value released in the event of a condenser failure, < >>For the standard release enthalpy of the condenser, +.>Is the rated electric power of the condenser.
The condenser fault energy efficiency index calculation mode has the beneficial effects that:
evaluating the effect of condenser failure on energy efficiency: the index can quantify the influence degree of the faults of the condenser of the air conditioning system of the subway train on the energy efficiency, and the heat release condition of the condenser in the fault state can be estimated by comparing the ratio of the enthalpy value actually released by the condenser to the standard release enthalpy value, so that the energy efficiency management and the energy consumption analysis of the electromechanical equipment of the air conditioning system of the subway train in the fault state are facilitated.
Consider the rated power and real-time electricity price of the condenser: the rated electric power and the real-time electric price of the condenser are multiplied by the ratio, so that the energy cost factor can be considered, and the calculated value can reflect the influence of the mechanical and electrical equipment faults of the air conditioning system of the subway train on the energy consumption and the cost.
Auxiliary fault diagnosis and optimization maintenance: through monitoring and analyzing the index, the problems of condenser faults, abnormal heat release and the like can be found in time, and fault diagnosis and maintenance optimization are assisted. If the index value is higher, the problem of the condenser is prompted, and the condenser needs to be overhauled or replaced.
Guiding energy efficiency improvement measures: by comparing the failure energy efficiency indexes of different condensers, the condenser with poor performance in the air conditioning system of the subway train can be determined, and energy efficiency improvement measures are pertinently adopted to improve the energy efficiency level of the air conditioning system of the whole subway train, so that the energy consumption and the running cost are reduced.
The calculation mode of the condenser failure energy efficiency index can quantify the influence of the condenser failure of the air conditioning system of the subway train on the energy efficiency, considers the energy cost factor, and provides guidance and decision basis for the failure diagnosis, the optimized maintenance and the energy efficiency improvement of the electromechanical equipment of the air conditioning system of the subway train, thereby improving the energy efficiency performance and the economic benefit of the system.
Further, in the formula of the condenser failure energy efficiency index, the enthalpy value released during the condenser failure is the sum of the latent heat and the sensible heat released by the refrigerant during the condenser failure, and the standard release enthalpy value of the condenser is the sum of the latent heat and the sensible heat released by the cooling in the condenser when the condenser works in a failure-free mode for half an hour before the condenser fails.
In the failure energy efficiency analysis module, the failure energy efficiency index of the air supply fan is the ratio of the output air quantity of the air supply fan to the standard output air quantity of the air supply fan when the failure occurs, the rated electric power and the real-time electricity price of the air supply fan are multiplied, and the formula of the failure energy efficiency index of the air supply fan is as follows:
；
wherein:output air quantity of air supply fan when in fault +.>The standard output air quantity of the air supply fan is the air supply air quantity of the air supply fan when the air supply fan works without faults for half an hour before the air supply fan breaks down, < >>Is the rated electric power of the air supply fan.
In the subway train air conditioning system, the beneficial effects generated by the calculation formula of the failure energy efficiency index of the air supply fan are as follows:
and (3) evaluating the influence of fan faults on energy efficiency: the index can quantify the influence degree of the fan faults in the air conditioning system of the subway train on the energy efficiency, and the air volume adjusting capacity and the air volume loss condition of the air supply fan in the fault state can be evaluated by comparing the ratio of the actual output air volume to the standard output air volume in the air conditioning system.
Consider rated power and real-time electricity price of the fan: the rated electric power and the real-time electric price of the air supply fan of the air conditioning system of the subway train are multiplied by the ratio, so that the energy cost factor can be considered; the calculated value can reflect the influence of the air supply fan fault of the subway train air conditioning system on energy consumption and cost.
Auxiliary fault diagnosis and optimization maintenance: through monitoring and analyzing the index, the problems of fan faults, abnormal air quantity and the like can be found in time, and the fault diagnosis and maintenance optimization of the subway train air conditioning system are assisted; if the index value prompts that the fan has a problem, the fan needs to be overhauled or replaced.
Guiding energy efficiency improvement measures: by comparing the failure energy efficiency indexes of different fans in the air conditioning system of the subway train, the fans with poor performance can be determined, energy efficiency improvement measures are pertinently adopted to improve the energy efficiency level of the whole air conditioning system of the subway train, and the energy consumption and the running cost of the subway train are reduced.
The calculation mode of the fan failure energy efficiency index can quantify the influence of the fan failure of the air conditioning system of the subway train on the energy efficiency, considers the energy cost factor, and provides guidance and decision basis for failure diagnosis, optimized maintenance and energy efficiency improvement of the electromechanical equipment of the air conditioning system of the subway train, thereby improving the energy efficiency performance and economic benefit of the whole air conditioning system of the subway train.
In the failure energy efficiency analysis module, the failure energy efficiency index of the air conditioner control cabinet is the ratio of the number of paths of failure control circuits in the air conditioner control cabinet to the total control circuits in the air conditioner control cabinet when the failure energy efficiency index is failed, the rated input apparent power and the real-time electricity price of the air conditioner control cabinet are multiplied, and the failure energy efficiency index of the air conditioner control cabinet is expressed as follows:
；
wherein:for the number of fault circuits in the air conditioner control cabinet, < >>Is the total circuit number in the air conditioner control cabinet, < >>Is the apparent power of the air conditioner control cabinet.
The formula of the failure energy efficiency index of the air conditioner control cabinet has the following beneficial effects on energy efficiency analysis and energy management of the subway train air conditioning system:
and evaluating the influence of the faults of the control cabinet on energy efficiency: the index can quantify the influence degree of the control cabinet faults of the subway train air-conditioning system on the energy efficiency, and the influence degree of the control cabinet faults in the subway train air-conditioning system on the control function can be estimated by comparing the ratio of the number of the control circuit faults of the subway train air-conditioning system to the total control circuit.
Consider rated input apparent power and real-time electricity price of the control cabinet: the rated input apparent power and the real-time electricity price of the control cabinet of the subway train air conditioning system are multiplied by the ratio, the energy cost factor can be considered, and the calculated value can reflect the influence of the failure of the control cabinet of the subway train air conditioning system on energy consumption and cost.
Auxiliary fault diagnosis and optimization maintenance: through monitoring and analyzing the index, the problems of faults of the control cabinet and abnormal control circuit of the air conditioning system of the subway train can be found in time, and fault diagnosis and maintenance optimization are assisted; if the index value prompts that the control cabinet has a problem, the fault circuit needs to be repaired or replaced.
Guiding energy efficiency improvement measures: by comparing the failure energy efficiency indexes of different air-conditioning control cabinets of the air-conditioning system of the subway train, the control cabinet with poor performance can be determined, energy efficiency improvement measures are pertinently adopted to improve the energy efficiency level of the air-conditioning system of the whole subway train, and the energy consumption and the running cost of the subway train are reduced.
The method for calculating the failure energy efficiency index of the air-conditioning control cabinet of the subway train air-conditioning system can quantify the influence of the failure of the control cabinet on energy efficiency, consider energy cost factors, provide guidance and decision basis for failure diagnosis, optimized maintenance and energy efficiency improvement, and improve the energy efficiency performance and economic benefit of the subway train air-conditioning system.
The electromechanical device monitoring module comprises a temperature sensor for measuring temperature parameters in an air conditioning system of a subway train, a pressure sensor for measuring pressure parameters in the air conditioning system, a humidity sensor for measuring humidity parameters, a flow sensor for measuring flow parameters and a multifunctional ammeter for measuring electric power.
Condenser temperature, evaporator temperature, etc. The temperature change of the air conditioning system can be known in real time through monitoring the data of the temperature sensor, and the running state of the system is judged so as to control and regulate, and the comfort level and the energy efficiency are ensured.
A pressure sensor: pressure sensors are used to measure pressure parameters in air conditioning systems, such as condenser pressure, evaporator pressure, refrigerant line pressure, etc. The monitoring of the data of the pressure sensor can help judge the refrigerating effect, the refrigerant circulation state, the pressure abnormality and other conditions of the system, and timely perform fault diagnosis and maintenance operation.
Humidity sensor: humidity sensors are used to measure humidity parameters in air conditioning systems, such as indoor humidity, evaporator discharge humidity, etc. Through the data of monitoring humidity sensor, can grasp the change condition of air humidity, auxiliary control air conditioning system's dehumidification function provides more comfortable indoor environment.
Flow sensor: the flow sensor is used for measuring flow parameters in the air conditioning system, such as cooling water flow, air quantity and the like. The flow conditions of the cooling water and the air can be known in real time by monitoring the data of the flow sensor, the running state and the efficiency of the system are judged, and corresponding adjustment and optimization are carried out.
The temperature sensor, the pressure sensor, the humidity sensor, the flow sensor, the multifunctional ammeter and the like in the electromechanical equipment monitoring module are used for monitoring key parameters in real time, providing data support and feedback and being used for system control, fault diagnosis, energy efficiency evaluation and optimized maintenance, thereby ensuring safe operation, high efficiency performance and comfort level of the system.
The data acquisition module is used for receiving and processing the data acquired by the electromechanical equipment monitoring module of the subway train air conditioning system, converting the data of different types into unified digital signals, and transmitting the unified digital signals to the fault energy efficiency analysis module for analysis, storage and operation.
The process of the data acquisition module for data acquisition comprises the following steps:
step A1, data receiving: the data acquisition module is connected with the electromechanical equipment monitoring module and is used for receiving original data signals from a temperature sensor, a pressure sensor, a humidity sensor, a flow sensor, a multifunctional ammeter and the like;
step A2, data conversion: the received original data signal is an analog signal or a digital signal of a specific protocol; the data acquisition module is used for converting analog signals or digital signals of a specific protocol into a unified digital signal format for processing and analysis;
step A3, data processing: the data acquisition module performs preprocessing and calibration on the converted digital signals, and operations such as noise elimination, filtering and compensation are performed to ensure the accuracy and reliability of the data;
step A4, data transmission: the processed data signals are transmitted to a fault energy efficiency analysis module or other related systems through a suitable communication interface for further analysis, storage and operation.
The data acquisition module has the following beneficial effects:
data integration and unification: the data acquisition module converts data signals from different types of sensors of the subway train air conditioning system into a unified digital signal format, and the integration and unified processing of data are realized. This can simplify the design and development of the system and improve the readability and operability of the data.
Data accuracy and real-time: the original data signals are processed and calibrated through the data acquisition module, so that the accuracy and stability of the data can be improved, and meanwhile, the data acquisition module can receive and process the data in real time, so that the latest monitoring data of electromechanical equipment of the air conditioning system of the subway train can be timely acquired.
Fault diagnosis and analysis: the data acquisition module transmits the processed data to the fault energy efficiency analysis module, and provides basic data for fault diagnosis and analysis. Through analysis and comparison of the data, the faults of the electromechanical equipment of the air conditioning system of the subway train can be detected and diagnosed, corresponding maintenance measures can be timely taken, and the reliability and the operation efficiency of the air conditioning system equipment of the subway train are improved;
data storage and history analysis: the data acquisition module can also store the processed data in a database or historical archive for historical data analysis and trend analysis.
The implementation process of the data acquisition module comprises data receiving, conversion, processing and transmission, and has the significance of realizing the integration and unified processing of data, improving the accuracy and the real-time performance of the data, supporting fault diagnosis and analysis, and data storage and historical analysis, and providing important support for the operation and management of an air conditioning system.
The failure energy efficiency display is used for displaying an air conditioner cooling water loop, an air conditioner refrigerant loop, an air conditioner power supply passage and an air conditioner air supply pipeline two-dimensional simulation model in the subway train air conditioning system constructed by the failure energy efficiency analysis module, and realizing real-time display of operation data of the electromechanical equipment failure energy efficiency analysis module of the subway train air conditioning system.
The fault energy efficiency display has the following functions:
visual failure energy efficiency analysis: the fault energy efficiency display displays key components such as a cooling water loop, a refrigerant loop, a power supply passage, an air supply pipeline and the like in the air conditioning system of the subway train in an intuitive manner through a two-dimensional simulation model; the operation staff of the subway train air conditioning system can clearly know the structure and the composition of the system, and quickly locate fault points;
and (3) real-time data display: the fault energy efficiency display can display data obtained by operation of the fault energy efficiency analysis module in real time; the data comprise information such as energy efficiency indexes, numerical value changes of key parameters, evaluation of system effects and the like during faults; through real-time display, operators of the air conditioning system of the subway train can master the performance and fault condition of the system at any time and take corresponding measures in time;
fault diagnosis and analysis support: the fault energy efficiency display can interact with the fault energy efficiency analysis module to provide support for fault diagnosis and analysis; when the system fails, the display can indicate the position and the type of the failure to an operator of the air conditioning system of the subway train through an alarm, an indicator light or other forms of prompt, thereby helping to quickly remove the failure and improving the failure processing efficiency;
decision support and optimization: the fault energy efficiency display provides real-time monitoring and evaluation of the running state of the air conditioning system, and operators can make decisions and optimize according to the displayed data; according to the change of the energy efficiency index, the system parameters of the subway train air conditioning system can be adjusted, and the operation strategy is improved, so that the energy efficiency and the comfort of the subway train air conditioning system are improved.
The meaning of the failure energy efficiency display in the air conditioning system is that visual subway train air conditioning system failure energy efficiency analysis is provided, subway train air conditioning system energy efficiency analysis and energy management operation data are displayed in real time, subway train air conditioning system failure diagnosis and analysis are supported, support of subway train air conditioning system energy management decision and optimization is provided, meanwhile, the failure energy efficiency display is also used for training and education of subway train air conditioning system operators and technicians, capability and efficiency of subway train air conditioning system operation and maintenance personnel are improved, and the failure energy efficiency display has an important role in operation management and performance improvement of the air conditioning system.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (10)
1. The utility model provides an energy efficiency control management system for electromechanical device of subway train air conditioning system, including electromechanical device monitoring module, data acquisition module, trouble energy efficiency analysis module and trouble energy efficiency display, a serial communication port, trouble energy efficiency analysis module obtains the condenser trouble energy efficiency index of subway train air conditioning system through the data analysis that data acquisition module obtained, the evaporimeter trouble energy efficiency index, air supply fan trouble energy efficiency index and air conditioner switch board trouble energy efficiency index, constitute the trouble energy efficiency numerical model of subway train air conditioning system condenser, the evaporimeter, air supply fan and the joint analysis of switch board trouble energy efficiency, in the trouble energy efficiency numerical model, obtain data and information according to subway train air conditioning system, establish air conditioner cooling water loop, air conditioner refrigerant loop, air conditioner power supply passageway and air conditioner air supply pipeline two-dimensional simulation model, through comprehensive trouble energy efficiency joint scoreThe formula of the analysis index realizes the joint analysis of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index, the comprehensive failure energy efficiency joint analysis index is the weighted sum of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index, and the weights of the condenser failure energy efficiency index, the evaporator failure energy efficiency index, the air supply fan failure energy efficiency index and the air conditioner control cabinet failure energy efficiency index are respectively、/>、/>And +.>The formula of the comprehensive fault energy efficiency joint analysis index is as follows:
；
wherein:for the combined analysis index of comprehensive failure energy efficiency, +.>As an index of the energy efficiency of the condenser failure,is an index of the energy efficiency of the evaporator fault +.>Is an index of failure energy efficiency of the air supply fan, +.>Is an energy efficiency index of the failure of the air conditioner control cabinet, +.>、/>、/>And +.>The values of the air conditioner control cabinet are equally divided according to the important weight scores of each group of data faults by a prediction average voting (PMV) and prediction dissatisfaction percentage index (PPD) model based on an attribute hierarchy method by condenser fault energy efficiency data, evaporator fault energy efficiency data, air supply fan fault energy efficiency data and air conditioner control cabinet fault energy efficiency data, and the values meet the requirement>。
2. The energy efficiency monitoring management system for the electromechanical equipment of the air conditioning system of the subway train according to claim 1, wherein the electromechanical equipment monitoring module is connected with the data acquisition module, the data acquisition module is connected with the failure energy efficiency analysis module, and the failure energy efficiency analysis module is connected with the failure energy efficiency display; in the failure energy efficiency analysis module, the failure energy efficiency index of the evaporator is the ratio of the heat actually absorbed by the evaporator to the standard absorbed heat of the evaporator in failure, and the rated electric power and the real-time electricity price of the evaporator are multiplied by the formula of the failure energy efficiency index of the evaporator:
；
wherein:is the heat actually absorbed by the evaporator in case of failure, +.>Absorb heat for evaporator standard, < >>For rated power of evaporator, +.>Is the real-time electricity price.
3. The energy efficiency monitoring and management system for the electromechanical equipment of the air conditioning system of the subway train according to claim 2, wherein in the index formula of the failure energy efficiency of the evaporator, the heat actually absorbed by the evaporator in the failure is the product of the temperature difference of the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator fails, and the standard absorbed heat of the evaporator is the product of the temperature difference of the inlet and the outlet of the evaporator, the specific heat of air and the mass flow of air when the evaporator works for half an hour before the failure.
4. The energy efficiency monitoring and management system for electromechanical equipment of an air conditioning system of a subway train according to claim 1, wherein in the failure energy efficiency analysis module, the failure energy efficiency index of the condenser is a ratio of an enthalpy value released when the condenser fails to a standard release enthalpy value of the condenser, the ratio is multiplied by rated electric power and real-time electric power price of the condenser, and a formula of the failure energy efficiency index of the condenser is:
；
wherein:for the enthalpy value released in the event of a condenser failure, < >>For the standard release enthalpy of the condenser, +.>Is the rated electric power of the condenser.
5. The energy efficiency monitoring and management system for an electromechanical device of an air conditioning system of a subway train according to claim 4, wherein in the formula of the energy efficiency index of the condenser failure, the enthalpy released by the condenser failure is the sum of latent heat and sensible heat released by the refrigerant when the condenser fails, and the standard release enthalpy of the condenser is the sum of latent heat and sensible heat released by the refrigerant in the condenser when the condenser works without failure half an hour before the failure.
6. The energy efficiency monitoring and management system for electromechanical equipment of an air conditioning system of a subway train according to claim 1, wherein in the failure energy efficiency analysis module, the ratio of the output air volume of the air blower to the standard output air volume of the air blower when the failure energy efficiency index of the air blower is failure is multiplied by the rated electric power and the real-time electricity price of the air blower, and the formula of the failure energy efficiency index of the air blower is:
；
wherein:output air quantity of air supply fan when in fault +.>The standard output air quantity of the air supply fan is the air supply air quantity of the air supply fan when the air supply fan works without faults for half an hour before the air supply fan breaks down, < >>For supplying airRated electric power of the machine.
7. The energy efficiency monitoring management system for electromechanical equipment of an air conditioning system of a subway train according to claim 1, wherein in the failure energy efficiency analysis module, the failure energy efficiency index of the air conditioning control cabinet is a ratio of the number of paths of failure control circuits in the air conditioning control cabinet to the total control circuits in the air conditioning control cabinet when the failure occurs, the ratio is multiplied by rated input apparent power and real-time electricity price of the air conditioning control cabinet, and a formula of the failure energy efficiency index of the air conditioning control cabinet is:
；
wherein:for the number of fault circuits in the air conditioner control cabinet, < >>Is the total circuit number in the air conditioner control cabinet, < >>Is the apparent power of the air conditioner control cabinet.
8. The energy efficiency monitoring management system for an electromechanical device of an air conditioning system of a subway train according to claim 1, wherein the electromechanical device monitoring module includes a temperature sensor for measuring a temperature parameter in the air conditioning system of the subway train, a pressure sensor for measuring a pressure parameter in the air conditioning system, a humidity sensor for measuring a humidity parameter, a flow sensor for measuring a flow parameter, and a multifunctional electricity meter for measuring electric power.
9. The energy efficiency monitoring management system for the electromechanical equipment of the air conditioning system of the subway train according to claim 1, wherein the data acquisition module is used for receiving and processing the data acquired by the monitoring module of the electromechanical equipment of the air conditioning system of the subway train, converting the data of different types into uniform digital signals, and transmitting the uniform digital signals to the failure energy efficiency analysis module for analysis, storage and operation.
10. The energy efficiency monitoring management system for the electromechanical equipment of the subway train air conditioning system is characterized in that a fault energy efficiency display is used for displaying an air conditioning cooling water loop, an air conditioning refrigerant loop, an air conditioning power supply path and an air conditioning air supply pipeline two-dimensional simulation model in the subway train air conditioning system constructed by a fault energy efficiency analysis module and realizing real-time display of operation data of the electromechanical equipment of the subway train air conditioning system.
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