Locomotive heat control method and management system based on multi-connected air conditioner

Abstract

The invention relates to the technical field of locomotive thermal control, solves the technical problem that the body feeling is uncomfortable due to the fact that the temperature cannot be adjusted in time when the working condition changes in the prior art, and particularly relates to a locomotive thermal control method based on a multi-connected air conditioner, which comprises the following steps: S1, setting a starting threshold value as Da based on a humidity value Rc of the position of a station, when the motor train unit is about to start, the air conditioner host and the multiple tail ends are started; s2, the temperature in the compartment is collected through the temperature sensors at the tail ends and preprocessed to obtain the actual temperature Qb, the temperature and humidity inside and outside the compartment are monitored through the air conditioner host and the multiple tail ends, the temperature in the compartment is made to be within the comfortable range according to the result of cyclic comparison of the preset threshold value and the actual detection value, and therefore the comfort degree of the compartment is improved. Inaccuracy of temperature detection is avoided, working efficiency of automatic thermal control is improved, manpower resources are saved, and comfort is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of locomotive thermal control, and in particular to a locomotive thermal control method and management system based on a multi-connected air conditioner. Background Art

[0002] China's high-speed rail mileage has now exceeded 40,000 km, with more than 4,000 high-speed trains running every day. A large number of high-speed trains run at high speed on the land of the motherland every day, with long-distance and short-distance trains alternating. The climate outside the carriage is constantly changing, while the temperature inside the carriage is always stable at around 25 degrees, which requires a lot of electricity. The current air-conditioning load range of each high-speed rail EMU carriage is between 30 and 40kW. When each EMU is running, its operating range changes at any time, causing the load inside the carriage to change at any time. Traditional independent air-conditioning systems are difficult to adapt to this change in working conditions, because they only perform temperature and humidity detection on a certain position in the carriage, and cannot perform temperature and humidity detection on the entire carriage. Passengers often feel too cold, which reduces the comfort of passengers and staff, and requires staff to constantly adjust the indoor temperature and humidity, resulting in extremely low work efficiency and additional increase in energy consumption. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides a locomotive thermal control method and management system based on a multi-split air conditioner, which solves the technical problem in the prior art that the temperature cannot be adjusted in time when the working conditions change, causing physical discomfort, and achieves the purpose of real-time temperature and humidity detection at multiple locations in the car to make the overall temperature of the car comfortable and pleasant.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a locomotive thermal control method based on a multi-connected air conditioner, the method comprising the following steps:

[0005] S1, humidity value R based on the station location c Set the start threshold to D a , when the EMU is about to depart, start the air conditioning host and its multiple terminals;

[0006] S2. The temperature in the car is collected by the temperature sensor at the end and pre-processed to obtain the actual temperature Q b ;

[0007] S3, collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ;

[0008] S4, according to the actual temperature Q b and relative humidity RHz Calculate the startup index D, and start the independent dehumidification and cooling module according to the startup index D;

[0009] If D ≥ D a , then end and return to step S2;

[0010] If D <D a , then start the independent dehumidification and cooling module and go to step S5;

[0011] S5. Get the control opening degree K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P of

[0012] S6. Obtain the predicted opening K based on the fitting curve P y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is adjusted to the opening size;

[0013] S7, preset interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host;

[0014] If S a =0, turn off the air conditioner and return to step S1;

[0015] If S a ≠0, then end and in the interval time t a Then repeat step S7.

[0016] Preferably, in step S1, the specific implementation steps are as follows:

[0017] S11. Based on the geographical location of the station, obtain the longitude and latitude of the geographical location of the station through information on a map website;

[0018] S12. Get the humidity value R of the local area in different months according to the longitude and latitude c , where R c Indicates the humidity value of month c and 1≤c≤12;

[0019] S13, calculate the start threshold D a , the calculation formula is:

[0020]

[0021] Among them, D a represents the start threshold, d represents the humidity value R c The number ofc Indicates humidity value.

[0022] Preferably, in step S2, the specific implementation steps are as follows:

[0023] S21, select one terminal from multiple terminals, collect the temperature of the compartment at different time points through the temperature sensor of this terminal, and generate a temperature set T a , where T a represents the ath temperature;

[0024] S22, according to the temperature set T a The pre-processing temperature T is obtained by using the mean interpolation method. b ;

[0025] S23, according to the pretreatment temperature T b Calculate the actual temperature Q b , the calculation formula is:

[0026]

[0027] Among them, Q b represents the actual temperature, n represents the pretreatment temperature T b The number of b represents the bth pretreatment temperature.

[0028] Preferably, in step S3, the specific implementation steps are as follows:

[0029] S31, select one terminal from multiple terminals, and use the sensor of this terminal to collect the vapor pressure P at different time points in the car g , and calculate the actual vapor pressure P a , the calculation formula is:

[0030]

[0031] Among them, P a represents the actual vapor pressure, and f represents the vapor pressure P at different time points g the number of

[0032] S32. Calculate the saturated vapor pressure e S , the calculation formula is:

[0033]

[0034] Among them, e S represents the saturated vapor pressure, Q b Indicates the actual temperature;

[0035] S33. Calculate relative humidity RH z , the calculation formula is:

[0036]

[0037] Among them, RH z Relative humidity, P a represents the actual vapor pressure, e S Indicates saturated vapor pressure.

[0038] Preferably, in step S4, the specific implementation steps are as follows:

[0039] S41, according to the temperature and humidity data of the train, weight coefficients w1 and w2 are obtained by using the hierarchical analysis method;

[0040] S42, according to the actual temperature Q b and relative humidity RH z Calculate the start-up index D, the calculation formula is:

[0041] D=w1×Q b +w2×RH z

[0042] Where D represents the activation index, and w1 and w2 represent weight coefficients.

[0043] Preferably, in step S5, the specific implementation steps are as follows:

[0044] S51, collect the evaporator outlet temperature T through the independent dehumidification and cooling module after startup ck ;

[0045] S52, set the target temperature T according to the longitude and latitude of the station location mb and the desired temperature T at the evaporator outlet qw ;

[0046] S53, calculate the control opening K a , the calculation formula is:

[0047]

[0048] Among them, K a Indicates the control opening, Q b Indicates the actual temperature, T mb Indicates the target temperature, T ck Indicates the evaporator outlet temperature, T qw Indicates the desired temperature;

[0049] S54, according to a number of actual temperatures Q b and control opening K a Establish the initial curve S x , preliminary curve S x The expression is:

[0050] K a=lQ b 2 +Q b +h

[0051] Among them, l, k and h represent coefficients;

[0052] S55, obtain the current actual temperature Q through the temperature sensor at the end d ;

[0053] S56, obtaining the actual opening value K according to the opening of the electronic expansion valve of the independent dehumidification and cooling module j ;

[0054] S57, the actual temperature Q d Substitute the initial curve S x The predicted opening K is obtained from x ;

[0055] S58, according to the opening value K j and predicted opening K x Calculate the error value G, the calculation formula is:

[0056]

[0057] Among them, G represents the error value, K j Indicates the jth actual opening value, K x represents the xth predicted opening, and m represents the opening value K j and predicted opening K x The number of groups;

[0058] S59, obtain the judgment value F through the maximum likelihood method, and judge the preliminary curve S x Whether optimization is needed;

[0059] If G≥F, optimization is required and the process returns to step S54;

[0060] If G ≥ F, no optimization is required and the fitting curve P is obtained.

[0061] Preferably, in step S6, the specific implementation steps are as follows:

[0062] S61. Obtain the predicted temperature based on the historical temperature data of the EMU, and obtain the corresponding predicted opening K on the fitting curve P. y ;

[0063] S62, predict the opening degree K y Send to independent dehumidification and cooling module;

[0064] S63, independent dehumidification and cooling module according to the predicted opening degree K y Control the electronic expansion valve to adjust the opening.

[0065] Preferably, in step S7, the specific implementation steps are as follows:

[0066] S71, according to the interval time t a Distance S a-1 Update to get the new distance S a ;

[0067] S72, according to the distance S a The size of the control air conditioning host start and stop.

[0068] The technical solution also provides a system for the above locomotive thermal control method, the system comprising:

[0069] Start the module, which is used for the humidity value R at the station location c Set the start threshold to D a , when the EMU is about to depart, start the air conditioning host and its multiple terminals;

[0070] The temperature module is used to collect the temperature in the car through the temperature sensor at the end and pre-process it to obtain the actual temperature Q b ;

[0071] Humidity module, used to collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ;

[0072] Start the control module to adjust the actual temperature Q b and relative humidity RH z Calculate the startup index D, and start the independent dehumidification and cooling module according to the startup index D;

[0073] Fitting module, used to obtain the control opening degree K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P of

[0074] The opening adjustment module is used to obtain the predicted opening K according to the fitting curve P y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is adjusted to the opening size;

[0075] Air conditioning control module, used to preset the interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host.

[0076] By means of the above technical solution, the present invention provides a locomotive thermal control method and management system based on a multi-connected air conditioner, which has at least the following beneficial effects:

[0077] 1. The present invention monitors the temperature and humidity inside and outside the vehicle compartment through the air-conditioning main unit and multiple terminals, controls the start and stop of the independent dehumidification and cooling module according to the result of the cyclic comparison between the preset threshold value and the actual detection value, and then adjusts the opening of the electronic expansion valve through the independent dehumidification and cooling module, so that the temperature of multiple positions inside the vehicle compartment is within a comfortable range, avoiding inaccurate temperature detection caused by only detecting the temperature of a certain position in the vehicle compartment. Automated detection and control improves the work efficiency of thermal control, saves human resources, and increases comfort.

[0078] 2. The present invention, through the function of the fitting module, can predict the adjustment of the opening according to the change of the temperature in the car, form a fitting curve and adjust the opening according to the fitting curve, thereby making the temperature change curve smoother. Through this mutual feedback mechanism, the comfort of passengers and staff is increased, and the energy loss caused by large temperature changes can be reduced, thereby saving energy.

[0079] 3. The present invention can periodically monitor the distance between the EMU and the station through the operation of the air-conditioning control module, and automatically stop the operation of the air-conditioning host when the train enters the station, thereby improving the automation efficiency of the system, avoiding power failures during the period when the train stops for maintenance and replacement, further affecting the passengers' riding experience, and ensuring the smoothness and safety of the overall operation of the train. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0081] Figure 1 It is a flow chart of a locomotive thermal control method based on a multi-connected air conditioner according to the present invention;

[0082] Figure 2 The present invention is a structural block diagram of a locomotive thermal control management system based on a multi-connected air conditioner. DETAILED DESCRIPTION

[0083] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments, so that the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0084] Since the existing technology cannot adjust the temperature in time when the working conditions change, causing the technical problem of body discomfort, please refer to Figure 1 and Figure 2 This embodiment provides a locomotive thermal control method and management system based on a multi-connected air conditioner, which can detect temperature and humidity at multiple locations in the carriage in real time to make the overall temperature of the carriage comfortable and pleasant. The method includes the following steps:

[0085] S1, humidity value R based on the station location c Set the start threshold to D a , when the EMU is about to depart, the air conditioning host and its multiple terminals are started; because the EMU trains are at different stations, the external environment conditions are not quite the same. For example, for trains from Wuhan to Northeast China, the temperature and humidity around the station in Wuhan are higher, and the temperature and humidity around the station in Northeast China are lower, so it is necessary to set the start threshold D for the independent dehumidification and cooling module a , so that it can be automated, the air-conditioning host and multiple terminals can detect and regulate the temperature and humidity inside the car. In step S1, the specific implementation steps are as follows:

[0086] S11. Based on the geographical location of the station, the longitude and latitude of the geographical location of the station are obtained through information on the map website; the geographical location and longitude and latitude of the station can be queried on the map website, such as the official website of Baidu Maps.

[0087] S12. Get the humidity value R of the local area in different months according to the longitude and latitude c , where R c represents the humidity value of the cth month and 1≤c≤12; due to different months, the temperature and humidity of the same position will also have huge differences. For example, in Changsha's spring, summer, autumn and winter, the temperature is longer in summer, the temperature is higher and the humidity is high, while in winter, the temperature is low and the humidity is moderate. Therefore, it is necessary to obtain different humidity values ​​according to different months, so as to facilitate the calculation of the start threshold D a .

[0088] S13, calculate the start threshold D a , the calculation formula is:

[0089]

[0090] Among them, D a represents the start threshold, d represents the humidity value R c The number of c Indicates the humidity value, by setting different start thresholds D aThe invention can enable the EMU train to automatically complete the control of the independent dehumidification and cooling module in a year, and perform multi-point position measurement on the inside and outside of the car through the air-conditioning main unit and multiple terminals, so that the detection accuracy is greatly improved. The present invention only describes the measurement method of a single terminal, and the terminals of other positions in the car including the external environment use the same method to collect data. However, when collecting the temperature and humidity of the external environment, it is necessary to calculate the heat transfer coefficient of the car itself, which is not elaborated in detail in the present invention. Through this multi-point temperature and humidity measurement, the start and stop of the independent dehumidification and cooling module is controlled according to the result of the cyclic comparison between the preset threshold and the actual detection value, and then the opening of the electronic expansion valve is adjusted by the independent dehumidification and cooling module, so that the temperatures of multiple positions inside the car are within a comfortable range, avoiding inaccurate temperature detection caused by only detecting the temperature of a certain position in the car. The automated detection and control improves the working efficiency of thermal control, saves human resources, and increases comfort.

[0091] S2. The temperature in the car is collected by the temperature sensor at the end and pre-processed to obtain the actual temperature Q b ; During the temperature collection process, the influence of the internal space or wind speed can easily cause large temperature changes, affecting the continuity of temperature data acquisition. In step S2, the specific implementation steps are as follows:

[0092] S21, select one terminal from multiple terminals, collect the temperature of the compartment at different time points through the temperature sensor of this terminal, and generate a temperature set T a , where T a represents the ath temperature;

[0093] S22, according to the temperature set T a The pre-processing temperature T is obtained by using the mean interpolation method. b ;

[0094] S23, according to the pretreatment temperature T b Calculate the actual temperature Q b , the calculation formula is:

[0095]

[0096] Among them, Q b represents the actual temperature, n represents the pretreatment temperature T b The number of b Indicates the bth preprocessing temperature. In the process of collecting temperature and humidity, the terminal is equipped with a temperature sensor and a humidity sensor, which can directly collect the temperature and humidity inside the car. The mean interpolation method is a missing value processing method, which is used to estimate the possible value of the data when there are missing values ​​in the data, which can make the data more coherent. The preprocessing temperature T can be completed by using the mean interpolation method to preprocess the data bThe acquisition of temperature data is impossible. Other steps are not described here because the mean interpolation method is a common method. The actual temperature value is obtained by preprocessing the temperature data, which makes the temperature more consistent and effective, facilitates subsequent measurements, and increases the reliability and continuity of the data.

[0097] S3, collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ; Since the humidity inside the car directly affects the riding experience of passengers, to prevent the discomfort caused by rapid changes in humidity, in step S3, the specific implementation steps are as follows:

[0098] S31, select one terminal from multiple terminals, and use the sensor of this terminal to collect the vapor pressure P at different time points in the car g , and calculate the actual vapor pressure P a , the calculation formula is:

[0099]

[0100] Among them, P a represents the actual vapor pressure, and f represents the vapor pressure P at different time points g the number of

[0101] S32. Calculate the saturated vapor pressure e S , the calculation formula is:

[0102]

[0103] Among them, e S represents the saturated vapor pressure, Q b Indicates the actual temperature;

[0104] S33. Calculate relative humidity RH z , the calculation formula is:

[0105]

[0106] Among them, RH z Relative humidity, P a represents the actual vapor pressure, e S Indicates the saturated vapor pressure, through the saturated vapor pressure e S and the actual vapor pressure P a The relative humidity RH can be obtained by calculation z , through relative humidity RH z And then with Q bThe actual temperature is used together to determine the start and stop of the independent dehumidification and cooling module, so that the comfort of the passengers in the car is further optimized, thereby increasing the riding experience of passengers and staff.

[0107] S4, according to the actual temperature Q b and relative humidity RH z Calculate the startup index D, and start the independent dehumidification and cooling module according to the startup index D;

[0108] If D ≥ D a , then end and return to step S2;

[0109] If D <D a , then start the independent dehumidification and cooling module and enter step S5; because the temperature or humidity alone to control the start and stop of the independent dehumidification and cooling module cannot accurately improve the comfort level in the car, in step S4, the specific implementation steps are as follows:

[0110] S41, according to the temperature and humidity data of the train, weight coefficients w1 and w2 are obtained by using the hierarchical analysis method;

[0111] S42, according to the actual temperature Q b and relative humidity RH z Calculate the start-up index D, the calculation formula is:

[0112] D=w1×Q b +w2×RH z

[0113] Where D represents the start-up index, w1 and w2 represent weight coefficients, and the actual temperature Q b and relative humidity RH z A comprehensive analysis of the two physical quantities is performed to obtain the startup index D of the independent dehumidification and cooling module. This can more accurately determine when it is more appropriate to start the independent dehumidification and cooling module, thereby maintaining accurate control of the temperature and humidity in the car. The entire process is automated and does not require human intervention, which not only improves the riding experience, but also increases the automation rate and reduces human intervention.

[0114] S5. Get the control opening degree K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P; since the electronic expansion valve in the prior art is always adjusted after the temperature has diffused to the entire compartment, it shows obvious hysteresis, so that the opening of the electronic expansion valve of the independent dehumidification and cooling module needs to be adjusted immediately after the temperature is adjusted to avoid in step S5, the specific implementation steps are as follows:

[0115] S51, collect the evaporator outlet temperature T through the independent dehumidification and cooling module after startup ck ;

[0116] S52, set the target temperature T according to the longitude and latitude of the station location mb and the desired temperature T at the evaporator outlet qw ;

[0117] S53, calculate the control opening K a , the calculation formula is:

[0118]

[0119] Among them, K a Indicates the control opening, Q b Indicates the actual temperature, T mb Indicates the target temperature, T ck Indicates the evaporator outlet temperature, T qw Indicates the expected temperature; the expected temperature is the expected value of the cabin temperature, and the evaporator outlet temperature is the temperature value of the evaporator outlet temperature during operation.

[0120] S54, according to a number of actual temperatures Q b and control opening K a Establish the initial curve S x , preliminary curve S x The expression is:

[0121] K a =lQ b 2 +Q b +h

[0122] Where l, k and h represent coefficients; the preliminary curve S x is a function of the actual temperature Q b and control opening K a In the prior art, the electronic expansion valve starts to adjust the opening degree only after the temperature changes to a certain temperature. This hysteresis makes passengers and staff feel that the temperature changes greatly, which leads to reduced riding comfort. In addition, when the temperature changes greatly, energy consumption will also increase. The present invention uses the preliminary curve S x The actual temperature Q b and control opening K a Accurate prediction can be made so that the opening of the electronic expansion valve can be adjusted in time.

[0123] S55, obtain the current actual temperature Q through the temperature sensor at the end d ;

[0124] S56, obtaining the actual opening value K according to the opening of the electronic expansion valve of the independent dehumidification and cooling module j ;

[0125] S57, the actual temperature Q d Substitute the initial curve S x The predicted opening K is obtained from x ;

[0126] S58, according to the opening value K j and predicted opening K x Calculate the error value G, the calculation formula is:

[0127]

[0128] Among them, G represents the error value, K j Indicates the jth actual opening value, K x represents the xth predicted opening, and m represents the opening value K j and predicted opening K x The number of groups;

[0129] S59, obtain the judgment value F through the maximum likelihood method, and judge the preliminary curve S x Whether optimization is needed;

[0130] If G≥F, optimization is required and the process returns to step S54;

[0131] If G ≥ F, there is no need to optimize and obtain the fitting curve P. Through the optimized fitting curve P, the opening of the electronic expansion valve of the independent dehumidification and cooling module can be adjusted in time, which is convenient for subsequent steps to adjust the actual temperature. Through the function of the fitting module, according to the change of temperature in the car, the adjustment of the opening can be predicted, and a fitting curve is formed and the opening is adjusted according to the fitting curve, so that the temperature change curve is smoother. Through this mutual feedback mechanism, the comfort of passengers and staff is increased, and the energy loss caused by large temperature changes can be reduced, saving energy consumption.

[0132] S6. Obtain the predicted opening K based on the fitting curve P y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is ordered to adjust the opening size; since the fitting curve P is obtained, the opening of the electronic expansion valve can be predicted according to the temperature conditions through the fitting curve P, so that the temperature can be controlled to fluctuate within a small range. In step S6, the specific implementation steps are as follows:

[0133] S61. Obtain the predicted temperature based on the historical temperature data of the EMU, and obtain the corresponding predicted opening K on the fitting curve P. y ;

[0134] S62, predict the opening degree K y Send to independent dehumidification and cooling module;

[0135] S63, independent dehumidification and cooling module according to the predicted opening degree K y Control the electronic expansion valve to adjust the opening, and through the fitting curve P, the corresponding predicted opening K can be obtained according to the predicted temperature. y , and then the opening of the electronic expansion valve is controlled by an independent dehumidification and cooling module to complete the temperature control, so that the temperature in the car fluctuates within a smaller range. Such temperature changes can make the human body feel comfortable, and can also reduce energy consumption and save energy consumption.

[0136] S7, preset interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host;

[0137] If S a =0, turn off the air conditioner and return to step S1;

[0138] If S a ≠0, then end and in the interval time t a Then repeat step S7. During the process of the EMU stopping at the station, the staff needs to perform maintenance and inspection on the EMU, and if necessary, perform a coupling change operation. If the power supply is not stopped, equipment failure may occur. In step S7, the specific implementation steps are as follows:

[0139] S71, according to the interval time t a Distance S a-1 Update to get the new distance S a ;

[0140] S72, according to the distance S a The size of the air-conditioning control module controls the start and stop of the air-conditioning host. Through the operation of the air-conditioning control module, the position of the EMU from the station can be monitored regularly. When the train enters the station, the air-conditioning host will automatically stop working, which increases the automation efficiency of the system and avoids power failures during train maintenance and coupling replacement, which further affects the passengers' riding experience and ensures the smoothness and safety of the overall operation of the train.

[0141] See also Figure 2 , which is a structural block diagram of the locomotive thermal control management system provided in this embodiment, and the locomotive thermal control management system includes a start module, a temperature module, a humidity module, a start control module, a fitting module, an opening adjustment module, and an air conditioning control module.

[0142] Start the module, which is used for the humidity value R at the station location c Set the start threshold to D a When the EMU is about to depart, the air conditioning host and its multiple terminals are started; the temperature module is used to collect the temperature in the carriage through the temperature sensor at the terminal and pre-process it to obtain the actual temperature Q b ; Humidity module, used to collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ; Start the control module to adjust the actual temperature Q b and relative humidity RH z Calculate the startup index D and start the independent dehumidification and cooling module according to the startup index D; Fitting module is used to obtain the control opening K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P of the opening adjustment module is used to obtain the predicted opening K according to the fitting curve P. y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is adjusted to open; the air conditioning control module is used to preset the interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host.

[0143] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, so the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0144] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A locomotive thermal control method based on a multi-connected air conditioner, characterized in that: The method comprises the following steps: S1, humidity value R based on the station location c Set the start threshold to D a , when the EMU is about to depart, start the air conditioning host and its multiple terminals; S2. The temperature in the car is collected by the temperature sensor at the end and pre-processed to obtain the actual temperature Q b ; S3, collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ; S4, according to the actual temperature Q b and relative humidity RH z Calculate the startup index D, and start the independent dehumidification and cooling module according to the startup index D; If D ≥ D a , then end and return to step S2; If D <D a , then start the independent dehumidification and cooling module and go to step S5; S5. Get the control opening degree K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P of S6. Obtain the predicted opening K based on the fitting curve P y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is adjusted to the opening size; S7, preset interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host; If S a =0, turn off the air conditioner and return to step S1; If S a ≠0, then end and in the interval time t a Then repeat step S7.

2. The locomotive thermal control method according to claim 1, characterized in that: In step S1, the specific implementation steps are as follows: S11. Based on the geographical location of the station, obtain the longitude and latitude of the geographical location of the station through information on a map website; S12. Get the humidity value R of the local area in different months according to the longitude and latitude c , where R c Indicates the humidity value of month c and 1≤c≤12; S13, calculate the start threshold D a , the calculation formula is: Among them, D a represents the start threshold, d represents the humidity value R c The number of c Indicates humidity value.

3. The locomotive thermal control method according to claim 1, characterized in that: In step S2, the specific implementation steps are as follows: S21, select one terminal from multiple terminals, collect the temperature of the compartment at different time points through the temperature sensor of this terminal, and generate a temperature set T a , where T a represents the ath temperature; S22, according to the temperature set T a The pre-processing temperature r is obtained by using the mean interpolation method b ; S23, according to the pretreatment temperature T b Calculate the actual temperature Q b , the calculation formula is: Among them, Q b represents the actual temperature, n represents the pretreatment temperature T b The number of b represents the bth pretreatment temperature.

4. The locomotive thermal control method according to claim 1, characterized in that: In step S3, the specific implementation steps are as follows: S31, select one terminal from multiple terminals, and collect the vapor pressure P at different time points in the compartment through the sensor of this terminal g , and calculate the actual vapor pressure P a , the calculation formula is: Among them, P a represents the actual vapor pressure, and f represents the vapor pressure P at different time points g the number of S32. Calculate the saturated vapor pressure e s , the calculation formula is: Among them, e S represents the saturated vapor pressure, Q b Indicates the actual temperature; S33. Calculate relative humidity RH z , the calculation formula is: Among them, RH z Relative humidity, P a represents the actual vapor pressure, e S Indicates saturated vapor pressure.

5. The locomotive thermal control method according to claim 1, characterized in that: In step S4, the specific implementation steps are as follows: S41, according to the temperature and humidity data of the train, weight coefficients w1 and w2 are obtained by using the hierarchical analysis method; S42, according to the actual temperature Q b and relative humidity RH z Calculate the start-up index D, the calculation formula is: D=w1×Q b +w2×RH z Where D represents the activation index, and w1 and w2 represent weight coefficients.

6. The locomotive thermal control method according to claim 1, characterized in that: In step S5, the specific implementation steps are as follows: S51, collect the evaporator outlet temperature T through the independent dehumidification and cooling module after startup ck ; S52, set the target temperature T according to the longitude and latitude of the station location mb and the desired temperature T at the evaporator outlet qw ; S53, calculate the control opening K a , the calculation formula is: Among them, K a Indicates the control opening, Q b Indicates the actual temperature, Tm b Indicates the target temperature, Tc k Indicates the evaporator outlet temperature, T qw Indicates the desired temperature; S54, according to a number of actual temperatures Q b and control opening K a Establish the initial curve S x , preliminary curve S x The expression is: K a =lQ b 2 +kQ b +h Among them, l, k and h represent coefficients; S55, obtain the current actual temperature Q through the temperature sensor at the end d ; S56, obtaining the actual opening value K according to the opening of the electronic expansion valve of the independent dehumidification and cooling module j ; S57, the actual temperature Q d Substitute the initial curve S x The predicted opening K is obtained from x ; S58, according to the opening value K j and predicted opening K x Calculate the error value G, the calculation formula is: Among them, G represents the error value, K j Indicates the jth actual opening value, K x represents the xth predicted opening, and m represents the opening value K j and predicted opening K x The number of groups; S59, obtain the judgment value F through the maximum likelihood method, and judge the preliminary curve S x Whether optimization is needed; If G≥F, optimization is required and the process returns to step S54; If G ≥ F, no optimization is required and the fitting curve P is obtained.

7. The locomotive thermal control method according to claim 1, characterized in that: In step S6, the specific implementation steps are as follows: S61. Obtain the predicted temperature based on the historical temperature data of the EMU, and obtain the corresponding predicted opening K on the fitting curve P. y ; S62, predict the opening degree K y Send to independent dehumidification and cooling module; S63, independent dehumidification and cooling module according to the predicted opening degree K y Control the electronic expansion valve to adjust the opening.

8. The locomotive thermal control method according to claim 1, characterized in that: In step S7, the specific implementation steps are as follows: S71, according to the interval time t a Distance S a-1 Update to get the new distance S a ; S72, according to the distance S a The size of the control unit controls the start and stop of the air conditioner.

9. A system comprising the locomotive thermal control method according to any one of claims 1 to 8, characterized in that: The system includes: Start the module, which is used for the humidity value R at the station location c Set the start threshold to D a , when the EMU is about to depart, start the air conditioning host and its multiple terminals; The temperature module is used to collect the temperature in the car through the temperature sensor at the end and pre-process it to obtain the actual temperature Q b ; Humidity module, used to collect the actual vapor pressure P through the sensor at the end a , according to the actual vapor pressure P a and the actual temperature Q b Calculate relative humidity RH z ; Start the control module to adjust the actual temperature Q b and relative humidity RH z Calculate the startup index D, and start the independent dehumidification and cooling module according to the startup index D; Fitting module, used to obtain the control opening degree K from the independent dehumidification and cooling module a , and establishes based on the actual temperature Q b and control opening K a The fitting curve P of The opening adjustment module is used to obtain the predicted opening K according to the fitting curve P y , and based on the predicted opening K y The electronic expansion valve of the independent dehumidification and cooling module is adjusted to the opening size; Air conditioning control module, used to preset the interval time t a , obtain the distance S between the EMU and the station from the EMU's driving data a , and according to the distance S a Control the shutdown of the air conditioner host.

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