CN115973211A - Remote control system of rail transit vehicle air conditioning system - Google Patents
Remote control system of rail transit vehicle air conditioning system Download PDFInfo
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- CN115973211A CN115973211A CN202211730918.2A CN202211730918A CN115973211A CN 115973211 A CN115973211 A CN 115973211A CN 202211730918 A CN202211730918 A CN 202211730918A CN 115973211 A CN115973211 A CN 115973211A
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Abstract
The invention discloses a remote control system of a rail transit vehicle air conditioning system, which comprises a data acquisition module, a remote control module and a control module, wherein the data acquisition module is used for acquiring data information of an air conditioning unit; an air conditioning system controller for controlling the air conditioning unit; the wireless router module is used for communicating the air conditioning system controller with the remote mobile control terminal; and the remote mobile control terminal is used for processing the operating conditions and the component information to generate fault processing information and wirelessly transmitting the fault processing information to the air conditioning system controller. The remote control system of the air conditioning system of the rail transit vehicle, disclosed by the invention, has the advantages that an operator can conveniently find out possible faults of any air conditioning unit in time and process the faults, meanwhile, when the air conditioning system is in an emergency state, the faults can be output to the air conditioning system through the remote mobile control terminal, so that the air conditioning system can carry out a corresponding working mode, and the problem of poor passenger riding experience caused by untimely operation is avoided.
Description
Technical Field
The invention relates to the technical field of rail vehicle air conditioning equipment, in particular to a remote control system of a rail transit vehicle air conditioning system.
Background
For the rail transit air conditioning system, generally there is local manual control or vehicle network automatic control, and these two kinds of control need specific manual operation to carry out, because on-vehicle air conditioning system is evenly distributed at the permutation car, when emergency appears, the vehicle-mounted staff can't arrive the problem carriage in time, can't in time control air conditioning system.
Disclosure of Invention
The invention provides a remote control system of an air conditioning system of a rail transit vehicle, aiming at the problems.
The technical means adopted by the invention are as follows:
a remote control system of an air conditioning system of a rail transit vehicle comprises a data acquisition module, an air conditioning system controller, a wireless router module and a remote mobile control terminal;
the data acquisition module is arranged on the air conditioning unit in each carriage and used for acquiring data information of the air conditioning unit in each carriage;
the air conditioning system controller is connected with a data acquisition module on an air conditioning unit in a corresponding carriage and used for acquiring data information acquired by the data acquisition module and sending the data information and a control signal of the air conditioning system controller to the wireless router module; receiving fault processing information sent by the wireless router module, and controlling a corresponding air conditioning unit according to the fault processing information;
the wireless router module is connected with the air conditioning system controller of each carriage and used for acquiring the data information of the air conditioning units of the whole train of carriages and the control signal of the air conditioning system controller and wirelessly transmitting the data information and the control signal to the remote mobile control terminal; the remote mobile control terminal is used for acquiring fault processing information sent by the remote mobile control terminal and sending the fault processing information to the air conditioning system controller;
the remote mobile control terminal is used for acquiring the data information of the air conditioning units of the whole train of carriages and the control signal of the air conditioning system controller, processing the data information and the control signal to generate fault processing information, and wirelessly transmitting the fault processing information to the wireless router module.
Further, the data acquisition module comprises a temperature sensor, a current sensor and a pressure difference controller;
and the control signal of the air conditioning system controller is a control command and a contactor feedback signal.
Furthermore, the remote mobile control terminal comprises a communication module, a processor and a storage module;
the communication module is used for carrying out wireless data transmission with the wireless router module;
the processor and the storage module are used for predicting the system component fault of the temperature signal acquired by the temperature sensor according to a system component fault prediction strategy;
the system comprises a contactor, a control unit and a control unit, wherein the control unit is used for acquiring a contactor feedback signal to acquire a system component working state, acquiring a system actual operation working condition according to the system component working state, and comparing the system actual operation working condition with a system calculation working condition to acquire the system working state;
the system component life prediction method comprises the steps of obtaining a contactor feedback signal to obtain the working state of a system component, and predicting the service life of the system component according to the working state of the system component;
and generating part replacement reminding, client selective processing, system normality, system abnormality and corresponding fault processing information for reminding a client to overhaul according to the system part fault prediction, the system working state and the system part service life prediction result.
Further, the system component failure prediction strategy is as follows: according to each sensor reading Di and the sum D of n sensor values General assembly Predicting the sensor fault by the average value of the parameters and judging that Di is less than D General (1) And n +/-0.5, if not, judging that the air conditioning unit has a component fault of the temperature sensor system, wherein the fault processing information is a component replacement prompt, wherein i =1 and 2 \ 8230n, and n, D General assembly ＝D1+D2…Dn。
Further, the working states of the system components, which are obtained according to the feedback signals of the contactor, comprise a ventilator working state, a condensing fan working state, a compressor working state and an electric heater working state;
the method comprises the following specific steps of obtaining the actual operation condition of the system according to the working state of the system component:
when the ventilator is in a working state, the actual operation working condition of the system is a ventilation working condition;
when the ventilator, the condensing fan and the compressor are all in working states, the actual operation working condition of the system is a refrigeration working condition;
when the electric heater and the ventilator are in working states, the actual operation working condition of the system is a heating working condition;
when the ventilator, the condensing fan, the compressor and the electric heater do not work, the actual operation condition of the system is a shutdown condition.
Further, the specific process of comparing the actual operation condition of the system with the calculated condition of the system to obtain the working state of the system is as follows:
judging whether the actual working condition of the system is matched with the calculated working condition of the system, if not, judging that the fault processing information is system abnormity; if so, comparing the current value acquired by the current sensor with the actual current value of the corresponding working condition, judging whether the current value acquired by the current sensor is matched with the actual current value of the corresponding working condition, if not, judging that the fault processing information is abnormal, and if so, judging that the fault processing information is normal.
Further, the processor and the storage module are further used for judging a secondary fault of the system when the actual working condition of the system is judged to be matched with the calculated working condition of the system, and the specific process is as follows;
when the actual working condition of the system is a ventilation working condition, obtaining a pressure difference controller value, and if the pressure difference controller value is smaller than a first pressure difference set value, judging that the ventilation is poor due to a secondary fault;
when the actual working condition of the system is a refrigeration working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is greater than a first refrigeration air supply temperature set value, judging that the secondary fault is poor in refrigeration;
when the actual working condition of the system is a heating working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is smaller than a first heating air supply temperature set value, judging that the secondary fault is poor in heating;
if the secondary fault is judged to be poor ventilation, poor refrigeration or poor heating, the fault processing information is selectively processed by the client; if no secondary fault exists, the fault processing information is that the system is normal.
Further, the service life prediction of the system components comprises ventilator service life prediction, condensing fan service life prediction, compressor service life prediction, electric heater service life prediction and filter screen service life prediction;
the air conditioning system controller is also used for sending the running time Ti of the system components, and the processor and the storage module are stored with a rated service life threshold T1 and a reminding threshold T2 of the system components;
the life prediction strategy for the ventilator, the condensing fan, the compressor and the electric heater is as follows: predicting the service life of the system component according to the running time Ti, the rated service life threshold T1 and the reminding threshold T2 of the system component, judging that T1 is larger than Ti and is larger than or equal to T2, if yes, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal;
the service life prediction strategy for the filter screen is as follows: and predicting the service life of the filter screen according to the difference value P1 between the internal pressure and the external pressure of the filter screen and the rated pressure difference threshold value P, judging that P1 is greater than P, if so, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal.
Further, the data acquisition module is communicated with the air conditioning system controller through an RS485 bus, the air conditioning system controller is communicated with the wireless router module through an Ethernet bus, and the wireless router module is communicated with the remote mobile control terminal through 5G.
Compared with the prior art, the remote control system of the air conditioning system of the rail transit vehicle disclosed by the invention has the following beneficial effects: according to the invention, due to the arrangement of the remote mobile control terminal, the air conditioning system controller can judge the working condition of the air conditioning unit according to the data information acquired by the data acquisition module and the control signal of the air conditioning system controller to obtain fault processing information, and the information of the air conditioning unit in all the carriages is gathered together through the wireless transmission module, so that an operator can find the possible fault of any air conditioning unit in time and process the fault. The invention has the advantages of high reliability, stable operation, simple structure, low cost, easy realization and low control delay.
Drawings
FIG. 1 is a schematic structural diagram of a rail transit vehicle air conditioner remote control system according to the present invention;
FIG. 2 is a data flow diagram illustrating the structure of a remote air-conditioning control system for a rail transit vehicle according to the present invention;
fig. 3 is a logic block diagram of a remote mobile control terminal of a rail transit vehicle air conditioner remote control system according to the present invention.
In the figure: 1. a data acquisition module; 2. an air conditioning unit; 3. 485 communication lines; 4. an air conditioning system controller; 5. a remote mobile control terminal; 6. a main circuit harness connector; 7. a control circuit harness connector; 8. an air-conditioning control cabinet; 9. an Ethernet communication line; 10. a wireless router module.
Detailed Description
Fig. 1 and fig. 2 show a remote control system of an air conditioning system of a rail transit vehicle, which includes a data acquisition module 1, an air conditioning system controller 4, a wireless router module 10, and a remote mobile control terminal 5;
the data acquisition module 1 is arranged on the air conditioning unit 2 in each carriage and used for acquiring data information of the air conditioning unit 2 in each carriage, generally, a train has 6 carriages, and two groups of air conditioning units 2 are arranged in each carriage;
an air-conditioning control cabinet 8 is arranged in each carriage, an air-conditioning system controller 4 is arranged in the air-conditioning control cabinet 8, and the air-conditioning control cabinet 8 is connected with 380Vac and 110Vdc power supplies; the air conditioning control cabinet 8 needs to supply a main loop 3-phase 380Vac power supply and a control loop 110Vdc power supply to the air conditioning unit, and the main loop power supply is connected with the air conditioning control cabinet 8 and the air conditioning unit 2 through a main loop wiring harness and is used by main components of the air conditioning unit; the control loop power supply is connected to the air conditioning control cabinet 8 and the air conditioning unit 2 through a control loop wire harness connector and used by the air conditioning unit control component. The air conditioning system controller 4 of each air conditioning control cabinet is connected with the data acquisition module on the air conditioning unit in the corresponding carriage through a 485 communication line 3 and is used for acquiring data information acquired by the data acquisition module 1; sending the data information and a control signal of an air conditioning system controller to a wireless router module 10; receiving the fault processing information sent by the wireless router module 10, and controlling the corresponding air conditioning unit 2 according to the fault processing information;
the wireless router module 10 is connected to the air conditioning system controllers of each car, that is, the air conditioning system controllers in multiple cars are connected to the same wireless router module 10, and is configured to acquire the data information of the air conditioning units in the whole train of cars and the control signals of the air conditioning system controllers, and wirelessly transmit the data information and the control signals to the remote mobile control terminal 5; the wireless router module is used for acquiring fault processing information sent by the remote mobile control terminal 5 and sending the fault processing information to the air conditioning system controller 4, and preferably, the wireless router module carries out information transmission in a 5G wireless transmission mode;
the remote mobile control terminal 5 is configured to obtain the data information of the air conditioning unit 2 and the control signal of the air conditioning system controller 4 in the entire train of carriages, process the data information and the control signal to generate fault processing information, and wirelessly send the fault processing information to the wireless router module 10.
Specifically, the data acquisition module comprises a temperature sensor, a current sensor and a pressure difference controller;
and the control signal of the air conditioning system controller is a control command and a contactor feedback signal.
As shown in fig. 3, the remote mobile control terminal 5 includes a communication module, a processor and a storage module;
the communication module is used for carrying out wireless data transmission with the wireless router module;
the processor and the storage module are used for carrying out system component fault prediction on the temperature signals acquired by the temperature sensor according to a system component fault prediction strategy; specifically, the system component failure prediction strategy is as follows: the processor and the storage module are used for acquiring the temperature data of a plurality of temperature sensors with the same function (such as an air supply temperature sensor) on the air conditioning unit in the whole train of carriages and summing the numerical value D of each sensor and the numerical value D of n sensors General assembly Predicting the sensor fault by the average value of the parameters and judging that Di is less than D General assembly And n +/-0.5, if not, judging that the air conditioning unit has a component fault of the temperature sensor system, wherein the fault processing information is a component replacement prompt, wherein i =1 and 2 \ 8230n, and n, D General assembly = D1+ D2 \8230Dn, method for predicting system component failureAnd a control personnel or a maintenance personnel can find the fault in time and replace and maintain the component in time.
The processor and the storage module are also used for acquiring a contactor feedback signal to acquire a system component working state, acquiring a system actual operation working condition according to the system component working state, and comparing the system actual operation working condition with a system calculation working condition to acquire the system working state; specifically, the contactor feedback signals comprise ventilator contactor feedback signals, condensing fan contactor feedback signals, compressor contactor feedback signals and electric heater contactor feedback signals, and the working states of system components, which are obtained according to the contactor feedback signals, comprise ventilator working states, condensing fan working states, compressor working states and electric heater working states;
the method comprises the following specific steps of obtaining the actual operation condition of the system according to the working state of the system component:
when the ventilator is in a working state, the actual operation working condition of the system is a ventilation working condition;
when the ventilator, the condensing fan and the compressor are all in working states, the actual operation working condition of the system is a refrigeration working condition;
when the electric heater and the ventilator are in working states, the actual operation working condition of the system is a heating working condition;
when the ventilator, the condensing fan, the compressor and the electric heater do not work, the actual operation condition of the system is a shutdown condition.
The specific process of comparing the actual operation condition of the system with the calculated condition of the system to obtain the working state of the system is as follows:
judging whether the actual working condition of the system is matched with the calculated working condition of the system, if not, judging that the fault processing information is system abnormity; if the current value acquired by the current sensor is matched with the actual current value of the corresponding working condition, the current value acquired by the current sensor is compared with the actual current value of the corresponding working condition, whether the current value acquired by the current sensor is matched with the actual current value of the corresponding working condition is judged, if not, the fault processing information is judged to be abnormal, if so, the fault processing information is judged to be normal, the system calculation working condition can be directly sent to the remote mobile control terminal by the air conditioning system controller, and also can be obtained by the remote mobile control terminal through calculation according to corresponding data, and the specific calculation process is a conventional means in the field.
Whether the corresponding part works is judged according to whether the corresponding contactor is closed or not, then the actual operation working condition of the current air conditioning unit is judged according to the working states of different parts, the actual operation working condition is compared with the operation working condition calculated by the system, whether the current system works normally or not can be judged, and further, in order to further ensure the judgment accuracy, the current value of the current sensor is compared with the current value of the corresponding working condition, so that the judgment accuracy of the working state of the system is improved, and the reliability of the system is ensured.
Further, the processor and the storage module are also used for judging the secondary fault of the system when the actual working condition of the system is matched with the calculated working condition of the system, and the specific process is as follows;
when the actual working condition of the system is a ventilation working condition, obtaining a pressure difference controller value, and if the pressure difference controller value is smaller than a first pressure difference set value, judging that the ventilation is poor due to a secondary fault;
when the actual working condition of the system is a refrigeration working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is greater than a first refrigeration air supply temperature set value, judging that the secondary fault is poor refrigeration;
when the actual working condition of the system is a heating working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is smaller than a first heating air supply temperature set value, judging that the secondary fault is poor in heating;
if the secondary fault is judged to be poor ventilation, poor refrigeration or poor heating, the fault processing information is selectively processed by the client; if no secondary fault exists, the fault processing information is that the system is normal.
Through the judgment of the secondary fault of the system, the working reliability of the air conditioning system is further ensured, the problem of poor riding experience of passengers caused by the fault of the air conditioner is avoided, and meanwhile, relevant operation or maintenance personnel can be timely reminded to maintain corresponding parts.
The processor and the storage module are also used for acquiring the feedback signal of the contactor to acquire the working state of the system component and predicting the service life of the system component according to the working state of the system component;
specifically, the system component life prediction comprises ventilator life prediction, condensing fan life prediction, compressor life prediction, electric heater life prediction and filter screen life prediction;
the air conditioning system controller is also used for sending the running time Ti of the system components, and the processor and the storage module are stored with a rated service life threshold T1 and a reminding threshold T2 of the system components;
the life prediction strategy for the ventilator, the condensing fan, the compressor and the electric heater is as follows: predicting the service life of the system component according to the running time Ti of the system component, the rated service life threshold T1 and the reminding threshold T2, judging that T1 is more than or equal to T2, if so, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal;
the service life prediction strategy for the filter screen is as follows: and predicting the service life of the filter screen according to the difference value P1 between the internal pressure and the external pressure of the filter screen and the rated pressure difference threshold value P, judging that P1 is larger than P, if so, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal.
By predicting the service life of the system components, the components which are about to reach the rated service life threshold can be alarmed in time, and related operation or maintenance personnel can be reminded of maintaining the corresponding components in time, so that the normal operation of the air conditioning system is ensured.
The processor and the storage module are also used for generating part replacement reminding, client selective processing, system normal and system abnormal and reminding corresponding fault processing information in client maintenance according to system part fault prediction, system working state and system part service life prediction results, sending specific faults and fault processing information to the communication module and sending the specific faults and fault processing information to the wireless router module through the communication module, and accordingly the air conditioning system controller can conveniently control the air conditioning unit correspondingly.
According to the invention, due to the arrangement of the remote mobile control terminal, the air conditioning system controller can judge the working condition of the air conditioning unit according to the data information acquired by the data acquisition module and the control signal of the air conditioning system controller to obtain fault processing information, and the information of the air conditioning unit in all the carriages is gathered together through the wireless transmission module, so that an operator can find the possible fault of any air conditioning unit in time and process the fault. The invention has the advantages of high reliability, stable operation, simple structure, low cost, easy realization and low control delay.
For the control of the air conditioning system, the priority of the remote mobile terminal control is higher than that of the manual control, and the priority of the manual control is higher than that of the vehicle network control.
Further, the data acquisition module also comprises a high-low pressure switch, a high-low pressure sensor and a voltage sensor; the remote mobile control terminal also has a display function, so as to display all the contents to be displayed, such as various data information and various fault information acquired by the data acquisition module.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The utility model provides a rail transit vehicle air conditioning system's remote control system which characterized in that: the system comprises a data acquisition module, an air conditioning system controller, a wireless router module and a remote mobile control terminal;
the data acquisition module is arranged on the air conditioning unit in each carriage and used for acquiring data information of the air conditioning unit in each carriage;
the air conditioning system controller is connected with a data acquisition module on an air conditioning unit in a corresponding carriage and used for acquiring data information acquired by the data acquisition module and sending the data information and a control signal of the air conditioning system controller to the wireless router module; receiving fault processing information sent by the wireless router module, and controlling a corresponding air conditioning unit according to the fault processing information;
the wireless router module is connected with the air conditioning system controller of each carriage and used for acquiring the data information of the air conditioning units of the whole train of carriages and the control signal of the air conditioning system controller and wirelessly transmitting the data information and the control signal to the remote mobile control terminal; the remote mobile control terminal is used for acquiring fault processing information sent by the remote mobile control terminal and sending the fault processing information to the air conditioning system controller;
the remote mobile control terminal is used for acquiring the data information of the air conditioning units of the whole train of carriages and the control signal of the air conditioning system controller, processing the data information and the control signal to generate fault processing information, and wirelessly transmitting the fault processing information to the wireless router module.
2. The remote control system of a rail transit vehicle air conditioning system of claim 1, wherein: the data acquisition module comprises a temperature sensor, a current sensor and a pressure difference controller;
and the control signal of the air conditioning system controller is a control command and a contactor feedback signal.
3. The remote control system of a rail transit vehicle air conditioning system of claim 2, wherein: the remote mobile control terminal comprises a communication module, a processor and a storage module;
the communication module is used for carrying out wireless data transmission with the wireless router module;
the processor and the storage module are used for predicting the system component fault of the temperature signal acquired by the temperature sensor according to a system component fault prediction strategy;
the system comprises a contactor, a control unit and a control unit, wherein the control unit is used for acquiring a contactor feedback signal to acquire a system component working state, acquiring a system actual operation working condition according to the system component working state, and comparing the system actual operation working condition with a system calculation working condition to acquire the system working state;
the system component life prediction method comprises the following steps of obtaining a contactor feedback signal to obtain a system component working state, and predicting the system component life according to the system component working state;
and generating part replacement reminding, client selective processing, system normality, system abnormality and corresponding fault processing information for reminding a client to overhaul according to the system part fault prediction, the system working state and the system part service life prediction result.
4. The remote control system of a rail transit vehicle air conditioning system of claim 3, wherein: the system component failure prediction strategy is as follows: from each sensor reading Di and the sum D of n sensor values General assembly Predicting the sensor fault by the average value of the average values, and judging that Di is less than D General (1) And n +/-0.5, if not, judging that the air conditioning unit has a component fault of the temperature sensor system, wherein the fault processing information is a component replacement prompt, wherein i =1 and 2 \ 8230n, and n, D General assembly ＝D1+D2…Dn。
5. The remote control system of a rail transit vehicle air conditioning system of claim 4, wherein: obtaining the working states of system components including the working state of a ventilator, the working state of a condensing fan, the working state of a compressor and the working state of an electric heater according to the feedback signal of the contactor;
the method comprises the following steps of obtaining the actual operation condition of the system according to the working state of the system component:
when the ventilator is in a working state, the actual operation working condition of the system is a ventilation working condition;
when the ventilator, the condensing fan and the compressor are all in working states, the actual operation working condition of the system is a refrigeration working condition;
when the electric heater and the ventilator are in working states, the actual operation working condition of the system is a heating working condition;
when the ventilator, the condensing fan, the compressor and the electric heater do not work, the actual operation working condition of the system is a shutdown working condition.
6. The remote control system of a rail transit vehicle air conditioning system of claim 5, wherein: the specific process of comparing the actual operation condition of the system with the calculated condition of the system to obtain the working state of the system is as follows:
judging whether the actual working condition of the system is matched with the calculated working condition of the system, if not, judging that the fault processing information is system abnormity; if so, comparing the current value acquired by the current sensor with the actual current value of the corresponding working condition, judging whether the current value acquired by the current sensor is matched with the actual current value of the corresponding working condition, if not, judging that the fault processing information is abnormal, and if so, judging that the fault processing information is normal.
7. The remote control system of a rail transit vehicle air conditioning system of claim 6, wherein: the processor and the storage module are also used for judging the secondary fault of the system when the actual working condition of the system is judged to be matched with the calculated working condition of the system, and the specific process is as follows;
when the actual working condition of the system is a ventilation working condition, obtaining a pressure difference controller value, and if the pressure difference controller value is smaller than a first pressure difference set value, judging that the ventilation is poor due to a secondary fault;
when the actual working condition of the system is a refrigeration working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is greater than a first refrigeration air supply temperature set value, judging that the secondary fault is poor in refrigeration;
when the actual working condition of the system is a heating working condition, acquiring a temperature value of an air supply temperature sensor of the air conditioning unit, and if the temperature value of the air supply temperature sensor is smaller than a first heating air supply temperature set value, judging that the secondary fault is poor in heating;
if the secondary fault is judged to be poor ventilation, poor refrigeration or poor heating, the fault processing information is selectively processed by the client; if no secondary fault exists, the fault processing information is that the system is normal.
8. The remote control system of a rail transit vehicle air conditioning system of claim 3, wherein: the system component service life prediction comprises ventilator service life prediction, condensing fan service life prediction, compressor service life prediction, electric heater service life prediction and filter screen service life prediction;
the air conditioning system controller is also used for sending the running time Ti of the system components, and the processor and the storage module are stored with a rated service life threshold T1 and a reminding threshold T2 of the system components;
the life prediction strategy for the ventilator, the condensing fan, the compressor and the electric heater is as follows: predicting the service life of the system component according to the running time Ti, the rated service life threshold T1 and the reminding threshold T2 of the system component, judging that T1 is larger than Ti and is larger than or equal to T2, if yes, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal;
the service life prediction strategy for the filter screen is as follows: and predicting the service life of the filter screen according to the difference value P1 between the internal pressure and the external pressure of the filter screen and the rated pressure difference threshold value P, judging that P1 is greater than P, if so, reminding a customer to overhaul the fault processing information, and if not, judging that the system is normal.
9. The remote control system of a rail transit vehicle air conditioning system of claim 1, wherein: the data acquisition module is communicated with the air conditioning system controller through an RS485 bus, the air conditioning system controller is communicated with the wireless router module through an Ethernet bus, and the wireless router module is communicated with the remote mobile control terminal through 5G.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211730918.2A CN115973211A (en) | 2022-12-30 | 2022-12-30 | Remote control system of rail transit vehicle air conditioning system |
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| CN202211730918.2A CN115973211A (en) | 2022-12-30 | 2022-12-30 | Remote control system of rail transit vehicle air conditioning system |
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