CN114145720A - Train HVAC control system and method based on wearable equipment - Google Patents
Train HVAC control system and method based on wearable equipment Download PDFInfo
- Publication number
- CN114145720A CN114145720A CN202111467574.6A CN202111467574A CN114145720A CN 114145720 A CN114145720 A CN 114145720A CN 202111467574 A CN202111467574 A CN 202111467574A CN 114145720 A CN114145720 A CN 114145720A
- Authority
- CN
- China
- Prior art keywords
- information
- train
- human body
- control unit
- main control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012512 characterization method Methods 0.000 claims description 15
- 230000008859 change Effects 0.000 claims description 14
- 239000008280 blood Substances 0.000 claims description 13
- 210000004369 blood Anatomy 0.000 claims description 13
- 230000005284 excitation Effects 0.000 claims description 13
- 238000013210 evaluation model Methods 0.000 claims description 12
- 230000007613 environmental effect Effects 0.000 claims description 8
- 229910021607 Silver chloride Inorganic materials 0.000 claims description 6
- HKZLPVFGJNLROG-UHFFFAOYSA-M silver monochloride Chemical compound [Cl-].[Ag+] HKZLPVFGJNLROG-UHFFFAOYSA-M 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 abstract description 12
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 239000002699 waste material Substances 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 8
- 238000004378 air conditioning Methods 0.000 description 5
- 238000002474 experimental method Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 210000000707 wrist Anatomy 0.000 description 5
- 238000009423 ventilation Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000010438 heat treatment Methods 0.000 description 3
- 230000008447 perception Effects 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000002372 labelling Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000003066 decision tree Methods 0.000 description 1
- 239000008236 heating water Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61D—BODY DETAILS OR KINDS OF RAILWAY VEHICLES
- B61D27/00—Heating, cooling, ventilating, or air-conditioning
- B61D27/0018—Air-conditioning means, i.e. combining at least two of the following ways of treating or supplying air, namely heating, cooling or ventilating
Abstract
The invention relates to the technical field of HVAC monitoring, and discloses a train HVAC control system and a train HVAC control method based on wearable equipment. The travel comfort of passengers can be improved, the difference of people and the distribution condition of people in the carriage are considered in the existing standard evaluation method, and the waste of resources such as electric power and the like caused by an overheated or overcooled running mode is avoided.
Description
Technical Field
The invention relates to the technical field of HVAC monitoring, in particular to a train HVAC control system and method based on wearable equipment.
Background
In the train riding process, the carriage environment directly influences the traveling experience and physical and mental health of passengers. HVAC (Ventilation and Air Conditioning) is a short term for Heating, Ventilation and Air Conditioning system, and as an important component of a high-speed train, the HVAC system of the train improves the comfort and quality of passengers in traveling. China has wide range of members, large railway operation span, large change of regional temperature, dense tunnel groups, high mobility and density of personnel in the carriage, and the temperature, the air flow rate and the like in the train carriage need to be adjusted in real time in order to meet the comfort requirements of passengers.
The current train HVAC system stipulates that the temperature of a passenger train compartment should be 18-20 ℃ in winter, 24-28 ℃ in summer and the humidity should be 40-70%; the current train temperature regulation mainly regulates the mode of the HVAC system according to the feedback of elements such as a temperature sensor, a pressure sensor and the like in the train. However, in addition to the temperature, wind speed, etc. parameters of the train, the thermal comfort perception of the occupants is also affected by the location of the occupants and the number of persons inside the train. The HVAC adjusting mode cannot completely meet the thermal comfort requirements of most passengers, only parameter variables of the environment are used as adjusting bases, the feedback of the most important passengers in the 'man-machine-environment' and the environmental characteristics of the train carriage are ignored, and the thermal comfort requirements of the passengers cannot be responded in time. According to relevant investigations, only less than 20% of passengers remain very satisfied with the temperature and humidity within the train. It can be seen that the current HVAC control method reduces the passenger's travel comfort on one hand, and on the other hand, the HVAC overheating or overcooling mode of operation results in a waste of resources such as power.
Disclosure of Invention
The invention provides a train HVAC control system and method based on wearable equipment, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a train HVAC control system based on a wearable device, comprising: the wearable device is provided with a human physiological feedback acquisition system, and the human physiological feedback acquisition system, the human psychological characterization acquisition system, the passenger personal information and sitting position acquisition system and the environment excitation and parameter acquisition system are all connected with the main control unit;
the human body physiological feedback acquisition system is used for acquiring human body physiological information and sending the human body physiological information to the main control unit;
the human body psychological representation acquisition system is used for acquiring human body psychological information and sending the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system is used for acquiring personal characteristic information of passengers and position information of the passengers and sending the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system is used for acquiring indoor environment information of the train and sending the indoor environment information to the main control unit;
the main control unit is used for determining comfort level scores of passengers according to a preset evaluation model, the human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information, generating adjusting instructions according to the comfort level scores, and adjusting HVAC of the train based on the adjusting instructions.
Optionally, the human physiological information includes human blood volume change information, skin resistance information and skin temperature information, the human physiological feedback acquisition system includes a photoelectric pulse volume acquisition module, a skin temperature acquisition module and a bluetooth module, and the photoelectric pulse volume acquisition module, the skin temperature acquisition module and the skin temperature acquisition module are all connected with the bluetooth module;
the photoelectric pulse volume acquisition module is used for acquiring the human blood volume change information and sending the human blood volume change information to the Bluetooth module;
the skin resistance collecting module is used for collecting skin resistance information and sending the skin resistance information to the Bluetooth module;
the skin temperature acquisition module is used for acquiring skin temperature information and sending the skin temperature information to the Bluetooth module;
the Bluetooth module is used for sending the human body blood volume change information, the skin resistance information and the skin temperature information to the main control unit.
Optionally, a photoelectric detector is arranged in the photoelectric pulse volume acquisition module, and the photoelectric detector is connected with the bluetooth module.
Optionally, a silver chloride electrode is arranged in the skin electricity acquisition module, and the silver chloride electrode is connected with the bluetooth module.
Optionally, a first temperature sensor is arranged in the skin temperature acquisition module, and the first temperature sensor is connected with the bluetooth module.
Optionally, the human psychological information includes subjective heat demand information of the passenger, and the human psychological characterization acquisition system determines the subjective heat demand information of the passenger according to a preset questionnaire result.
Optionally, the personal characteristic information includes age, weight, height, clothing dressing degree and special crowd information, and the passenger personal information and riding position acquisition system determines the personal characteristic information and the position information according to passenger ticket purchasing information and image information acquired by a camera in the train.
Optionally, the indoor environment information includes indoor temperature information and indoor wind speed information, and the environment excitation and parameter acquisition system includes a second temperature sensor and a wind speed sensor;
the second temperature sensor is used for acquiring indoor temperature information of the train and sending the indoor temperature information to the main control unit;
the wind speed sensor is used for collecting indoor wind speed information of the train and sending the indoor wind speed information to the main control unit.
In a second aspect, an embodiment of the present application further provides a train HVAC control method based on a wearable device, which is applied to the train HVAC control system based on the wearable device in the first aspect, and includes:
the human body physiological feedback acquisition system acquires human body physiological information and sends the human body physiological information to the main control unit;
the human body psychological characterization and acquisition system acquires human body psychological information and sends the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system acquires personal characteristic information of passengers and position information of the passengers and sends the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system acquires indoor environment information of the train and sends the indoor environment information to the main control unit;
the main control unit determines comfort level scores of passengers according to a preset evaluation model, the human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information, generates adjusting instructions according to the comfort level scores, and adjusts HVAC of the train based on the adjusting instructions.
Optionally, after determining the comfort score of the occupant, the method further comprises:
adjusting the comfort level score ratio of the passengers according to the personal characteristic information of the passengers;
generating an adjustment instruction according to the comfort score, comprising:
and generating an adjusting instruction according to the adjusted comfort level score ratio.
Has the advantages that:
the train HVAC control system based on the wearable equipment provided by the invention collects information by arranging the wearable equipment, the human body psychological characterization collection system, the passenger personal information and riding position collection system and the environment excitation and parameter collection system, determines the comfort level score of a passenger according to a preset evaluation model, the collected human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information by utilizing the main control unit, generates an adjusting instruction according to the comfort level score, and adjusts the HVAC of the train based on the adjusting instruction. Therefore, the characteristics of different modes are fused, the physiological feedback parameters, the psychological characterization parameters and the indoor physical parameters of passengers are comprehensively considered, the travelling comfort of the passengers can be improved, and the number and the distribution position of the passengers in the carriage, the clothes dressing degree of the passengers and other information are used as boundary conditions. Compared with the existing standard evaluation method, the difference of people and the distribution condition of people in the carriage are considered, and waste of resources such as electric power and the like caused by an overheated or overcooled operation mode is avoided.
Drawings
Fig. 1 is a schematic structural diagram of a wearable device-based train HVAC control system according to a preferred embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a wearable device according to a preferred embodiment of the present invention; wherein (a) is a first schematic diagram of a wearable device structure, and (b) is a second schematic diagram of the wearable device structure;
FIG. 3 is a schematic diagram of the skin electrical experiment data, the photoelectric pulse volume experiment data and the skin temperature experiment data according to the preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of points for measuring the thermal environment parameters in the vehicle interior according to the preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of a subjective thermal comfort rating map of an occupant under test according to a preferred embodiment of the present invention;
fig. 6 is a flow chart of a train HVAC control method based on wearable equipment according to a preferred embodiment of the present invention.
Reference numerals:
1. a galvanic collection module; 2. a photoelectric pulse volume acquisition module; 3. skin temperature acquisition module.
Detailed Description
The technical solutions of the present invention are described clearly and completely below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships are changed accordingly.
Referring to fig. 1, an embodiment of the present application provides a train HVAC control system based on a wearable device, including: the wearable device is provided with a human body physiological feedback acquisition system, and the human body physiological feedback acquisition system, the human body psychological characterization acquisition system, the passenger personal information and sitting position acquisition system and the environment excitation and parameter acquisition system are all connected with the main control unit;
the human body physiological feedback acquisition system is used for acquiring human body physiological information and sending the human body physiological information to the main control unit;
the human body psychological representation acquisition system is used for acquiring human body psychological information and sending the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system is used for acquiring personal characteristic information of passengers and position information of the passengers and sending the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system is used for acquiring indoor environment information of the train and sending the indoor environment information to the main control unit;
the main control unit is used for determining comfort level scores of passengers according to a preset evaluation model, human body physiological information, human body psychological information, personal characteristic information, position information and indoor environment information, generating adjusting instructions according to the comfort level scores, and adjusting HVAC of the train based on the adjusting instructions.
According to the train HVAC control system based on the wearable equipment, the human body psychological characteristic acquisition system, the passenger personal information and riding position acquisition system and the environment excitation and parameter acquisition system are arranged for acquiring information, a master control unit is utilized to determine the comfort level score of the passenger according to a preset evaluation model, the acquired human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information, an adjusting instruction is generated according to the comfort level score, and the HVAC of the train is adjusted based on the adjusting instruction. Therefore, the characteristics of different modes are fused, the physiological feedback parameters, the psychological characterization parameters and the indoor physical parameters of passengers are comprehensively considered, the travelling comfort of the passengers can be improved, and the number and the distribution position of the passengers in the carriage, the clothes dressing degree of the passengers and other information are used as boundary conditions. Compared with the existing standard evaluation method, the difference of people and the distribution condition of people in the carriage are considered, and waste of resources such as electric power and the like caused by an overheated or overcooled operation mode is avoided.
Optionally, the human physiological information includes human blood volume change information, skin resistance information and skin temperature information, the human physiological feedback acquisition system includes a photoelectric pulse volume acquisition module 2, a skin temperature acquisition module 1, a skin temperature acquisition module 3 and a bluetooth module, and the photoelectric pulse volume acquisition module 2, the skin temperature acquisition module 1 and the skin temperature acquisition module 3 are all connected with the bluetooth module;
the photoelectric pulse volume acquisition module is used for acquiring the blood volume change information of the human body and sending the blood volume change information of the human body to the Bluetooth module;
the skin resistance information acquisition module is used for acquiring skin resistance information and sending the skin resistance information to the Bluetooth module;
the skin temperature acquisition module is used for acquiring skin temperature information and sending the skin temperature information to the Bluetooth module;
the Bluetooth module is used for sending the blood volume change information, the skin resistance information and the skin temperature information of the human body to the main control unit.
In this optional embodiment, the human body physiological feedback acquisition system mainly comprises a photoelectric pulse volume acquisition module, a skin temperature acquisition module and a skin electric acquisition module. As shown in fig. 2, the three modules are integrated in a bracelet and worn on the wrist of a passenger. Is portable, small and flexible.
As shown in fig. 3, a photoelectric detector is disposed in the photoelectric pulse volume acquisition module, and the photoelectric detector is connected to the bluetooth module. Therefore, the photoelectric pulse volume measures the blood volume change at the wrist of the passenger through the photoelectric detector at the back of the wrist ring dial.
Wherein, be provided with the silver chloride electrode in the skin electricity collection module, the silver chloride electrode is connected with bluetooth module. Therefore, the skin electricity collecting module collects the skin resistance on the inner side of the wrist of the passenger by taking the electrode at the watchband as a collector.
Wherein, be provided with first temperature sensor in the skin temperature collection module, first temperature sensor is connected with bluetooth module. Like this, skin temperature collection module gathers the skin temperature in the passenger wrist outside through the temperature sensor at bracelet dial plate back.
Specifically, each module can be configured with a corresponding amplifier and a corresponding data acquisition system, all acquired data are synchronously transmitted to a main control unit (or a host) in real time through Bluetooth, and distortion in the signal transmission process can be avoided by designing the amplifiers and the data acquisition systems.
Optionally, the human psychological information includes subjective heat demand information of the passenger, and the human psychological characterization acquisition system determines the subjective heat demand information of the passenger according to a preset questionnaire result.
In this optional embodiment, the human psychology characteristic collecting system displays the pre-designed subjective questionnaire table of the passenger and the basic physical condition collecting table through a tablet computer before the test, and the test answers the questionnaire questions and the current riding position through the tablet computer. All the collected data are synchronously transmitted to the main control unit in real time through the Bluetooth.
Optionally, the personal characteristic information comprises age, weight, height, clothing dressing degree and special crowd information, and the passenger personal information and riding position acquisition system determines the personal characteristic information and the position information according to passenger ticket purchasing information and image information acquired by a camera in the train.
In the optional embodiment, the passenger personal information and riding position acquisition system is composed of a passenger personal characteristic acquisition module and a passenger position information acquisition module. The passenger personal characteristic acquisition module counts the ages of passengers through personal information of the passengers during ticket buying, and identifies the weight, the height, the clothing wearing degree and special crowd information (such as pregnant women) of the passengers through pressure sensing equipment and camera monitoring equipment arranged in a carriage. The passenger position information acquisition module carries out statistics through passenger ticket purchasing information. Passenger ticket purchasing information is transmitted to the experiment host through the railway ticket system, and monitoring acquisition and identification data are synchronously transmitted to the main control unit through Bluetooth.
Optionally, the indoor environment information includes indoor temperature information and indoor wind speed information, and the environment excitation and parameter acquisition system includes a second temperature sensor and a wind speed sensor;
the second temperature sensor is used for acquiring indoor temperature information of the train and sending the indoor temperature information to the main control unit;
the wind speed sensor is used for collecting indoor wind speed information of the train and sending the indoor wind speed information to the main control unit.
In this alternative embodiment, the environmental stimulus and parameter acquisition system is comprised of a second temperature sensor and a wind speed sensor. The second temperature sensor adopts a black ball temperature sensor as a collector; the wind speed sensor adopts a hot-ball type omnidirectional wind speed sensor as a collector; each module is provided with a corresponding amplifier, each collector is respectively arranged in six distribution points of the carriage, and as shown in fig. 4, all collected data are synchronously transmitted to the main control unit in real time through Bluetooth.
In specific implementation, firstly, the tested persons with different sexes and weights are recruited as a schematic diagram of passenger filling comfort evaluation amount, as shown in fig. 5, and the passengers with different numbers are respectively arranged to take the train to be tested at different positions.
Then, physiological-physical multi-source data such as photoelectric pulse volume, skin temperature, temperature in a carriage, wind speed and the like of the passenger are fused to serve as model input, psychological characterization subjective thermal comfort is taken as model output, and a neural network method is adopted to establish a passenger thermal comfort evaluation model fusing physiological-physical multi-source information.
And scoring the thermal perception level of the passengers according to the age, BMI index, clothing dressing degree, the number of special member people, the number of passengers in the carriage, the position of the carriage and other parameters of the passengers, and dividing the influence weight of each passenger thermal comfort model score in the final adjustment decision result. If the occupant comprises a pregnant woman, the thermal comfort score of the pregnant woman will be weighted more heavily in the digital occupant comfort score of the compartment. The thermal comfort requirements of most passengers and special people (such as pregnant women) in the current carriage are met, and the scoring optimization of the overall thermal comfort in the train carriage is realized.
Finally, according to the multi-objective decision result, the refrigeration/heating water level of the air conditioner of the train is adjusted; and adjusting the working mode of the air conditioner according to the number and the distribution positions of passengers in the train, and if no passenger is in a certain position in the carriage, changing the cooling/heating mode of the air conditioner to a ventilation mode.
In summary, the method and the device have the advantages that the characteristics of different modes are fused through the neural network, the problems of dimension mismatching, scale difference and the like of multi-mode information are solved, and the physiological feedback parameters, the psychological characterization parameters and the indoor physical parameters of the passengers are guaranteed to make a contribution to the construction of the evaluation model. By decision methods such as expert judgment, a hierarchical sequence method and the like, the age, BMI index, clothing dressing degree, position, number of people in the carriage and special passenger groups of passengers of the passengers are used as boundary conditions, and intelligent multi-target comprehensive decision is carried out on the output result of the thermal comfort degree model of each passenger so as to meet the thermal comfort degree requirements of most passengers in the carriage to the maximum extent.
The method and the device can be suitable for evaluating the thermal comfort of all kinds of trains, and can also be extended to evaluating the thermal comfort of automobiles and airplanes. The examples are given herein by way of illustration only and not by way of limitation.
The embodiment of the present application further provides a train HVAC control method based on wearable devices, which is applied to the train HVAC control system based on wearable devices, and includes:
the human body physiological feedback acquisition system acquires human body physiological information and sends the human body physiological information to the main control unit;
the human body psychological characterization and acquisition system acquires human body psychological information and sends the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system acquires personal characteristic information of passengers and position information of the passengers and sends the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system acquires indoor environment information of the train and sends the indoor environment information to the main control unit;
the master control unit determines comfort level scores of passengers according to a preset evaluation model, human body physiological information, human body psychological information, personal characteristic information, position information and indoor environment information, generates adjusting instructions according to the comfort level scores, and adjusts HVAC of the train based on the adjusting instructions.
Optionally, after determining the comfort score of the occupant, the method further comprises:
adjusting the comfort level score ratio of the passengers according to the personal characteristic information of the passengers;
generating an adjustment instruction according to the comfort score, comprising:
and generating an adjusting instruction according to the adjusted comfort level score ratio.
In a complete example, as shown in fig. 6, the train HVAC control method based on the wearable device can be implemented as follows:
step S1: and setting the working condition of the air conditioning system of the train compartment. And adjusting parameters such as air conditioner temperature, air speed and the like in the test compartment in stages, and enabling the tested passenger to sit in the test compartment according to the requirements.
Step S2: the physiological signal monitoring equipment is worn and the environmental parameter acquisition device is installed. The tested member can correctly wear the physiological signal monitoring bracelet according to the requirement, and the temperature and wind speed acquisition device is installed.
Step S3: and acquiring physiological signal and environmental parameter data. Acquiring physiological signal data of a tested vehicle in a current compartment thermal environment, and performing preprocessing and feature extraction; and acquiring temperature and wind speed data of three positions in the carriage.
Step S4: and acquiring questionnaire data and passenger information. Subjective evaluation data and data label labeling of the thermal comfort of the passengers are obtained through a psychological characterization questionnaire system, the passengers to be tested are guided to complete a train compartment thermal comfort evaluation scale, subjective evaluation scores are obtained, and label labeling is carried out on the physiological signal data set after preprocessing and feature extraction. Personal characteristics (age, BMI index, clothing degree, riding position and whether the passenger is a special group) of the passenger are intelligently identified through passenger basic information of a railway ticket system, a pressure sensing device and a camera in a carriage.
Step S5: and constructing a train thermal comfort database. And measuring thermal comfort evaluation results of different tested passengers under different train air conditioners and ventilation working conditions, and constructing a train thermal comfort database suitable for people according to the physiological signal data, the thermal comfort evaluation score and the environmental parameters of the tested passengers.
Step S6: and (5) constructing an evaluation model. Based on a train thermal comfort database, a Light GBM decision tree gradient lifting algorithm is applied to establish a train thermal comfort model containing the personal physical basic condition of the tested passenger, physiological signal data and a comfort subjective evaluation result of the environment parameter mapping in the carriage.
Step S7: and (5) model application. The method comprises the steps of obtaining passenger physiological signal data under a train air conditioning system to be tested and environmental parameters in a carriage, inputting a train thermal comfort evaluation model which is constructed by using a Light GBM gradient lifting tree algorithm and is based on physiological signals, and automatically obtaining a passenger thermal comfort evaluation score under the current train air conditioning working condition.
Step S8: and (4) comfort evaluation score decision analysis. According to the positions, ages, BMI indexes, clothes dressing degree and the number of people in the carriage of passengers, the thermal perception degree of each passenger is scored, influence weights of thermal comfort model scores of each passenger in a final adjustment decision result are divided, and the optimal mode of the current HVAC system to be adjusted is determined.
Step S9: HVAC system conditioning. According to the output result of the decision analysis, the heating/cooling level of the air conditioner in the starting state of the HVAC system of the current train is adjusted; and adjusting the working mode of the partial air conditioner in the carriage according to the number and the distribution positions of passengers in the carriage.
The train HVAC control method based on the wearable device can achieve various embodiments of the train HVAC control system based on the wearable device, and can achieve the same beneficial effects, and the detailed description is omitted here.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A train HVAC control system based on wearable equipment, comprising: the wearable device is provided with a human physiological feedback acquisition system, and the human physiological feedback acquisition system, the human psychological characterization acquisition system, the passenger personal information and sitting position acquisition system and the environment excitation and parameter acquisition system are all connected with the main control unit;
the human body physiological feedback acquisition system is used for acquiring human body physiological information and sending the human body physiological information to the main control unit;
the human body psychological representation acquisition system is used for acquiring human body psychological information and sending the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system is used for acquiring personal characteristic information of passengers and position information of the passengers and sending the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system is used for acquiring indoor environment information of the train and sending the indoor environment information to the main control unit;
the main control unit is used for determining comfort level scores of passengers according to a preset evaluation model, the human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information, generating adjusting instructions according to the comfort level scores, and adjusting HVAC of the train based on the adjusting instructions.
2. The train HVAC control system based on the wearable device as claimed in claim 1, wherein the human physiological information comprises human blood volume change information, skin resistance information and skin temperature information, the human physiological feedback acquisition system comprises a photoelectric pulse volume acquisition module, a skin electricity acquisition module, a skin temperature acquisition module and a Bluetooth module, and the photoelectric pulse volume acquisition module, the skin electricity acquisition module and the skin temperature acquisition module are all connected with the Bluetooth module;
the photoelectric pulse volume acquisition module is used for acquiring the human blood volume change information and sending the human blood volume change information to the Bluetooth module;
the skin resistance collecting module is used for collecting skin resistance information and sending the skin resistance information to the Bluetooth module;
the skin temperature acquisition module is used for acquiring skin temperature information and sending the skin temperature information to the Bluetooth module;
the Bluetooth module is used for sending the human body blood volume change information, the skin resistance information and the skin temperature information to the main control unit.
3. The wearable device-based train HVAC control system of claim 2, wherein a photodetector is disposed within the photoplethysmographic volume acquisition module, the photodetector being connected to the bluetooth module.
4. The train HVAC control system based on wearable equipment as claimed in claim 2, wherein a silver chloride electrode is provided in the pico collection module, the silver chloride electrode being connected with the Bluetooth module.
5. The train HVAC control system based on the wearable device as claimed in claim 2, wherein a first temperature sensor is provided in the skin temperature collection module, and the first temperature sensor is connected with the Bluetooth module.
6. The wearable device-based train HVAC control system of claim 1, wherein the human psychological information includes occupant subjective heat demand information, and wherein the human psychological characterization acquisition system determines the occupant subjective heat demand information based on pre-set questionnaire results.
7. The wearable device-based train HVAC control system of claim 1, wherein the personal characteristic information includes age, weight, height, clothing fit, and demographic information, and wherein the occupant personal information and seating location collection system determines the personal characteristic information and the location information based on occupant ticketing information and image information collected by a camera in the train.
8. The wearable device-based train HVAC control system of claim 1, wherein the indoor environmental information comprises indoor temperature information and indoor wind speed information, the environmental incentive and parameter acquisition system comprises a second temperature sensor and a wind speed sensor;
the second temperature sensor is used for acquiring indoor temperature information of the train and sending the indoor temperature information to the main control unit;
the wind speed sensor is used for collecting indoor wind speed information of the train and sending the indoor wind speed information to the main control unit.
9. A wearable device-based train HVAC control method applied to the wearable device-based train HVAC control system of any one of claims 1-8, comprising:
the human body physiological feedback acquisition system acquires human body physiological information and sends the human body physiological information to the main control unit;
the human body psychological characterization and acquisition system acquires human body psychological information and sends the human body psychological information to the main control unit;
the passenger personal information and riding position acquisition system acquires personal characteristic information of passengers and position information of the passengers and sends the personal characteristic information and the position information to the main control unit;
the environment excitation and parameter acquisition system acquires indoor environment information of the train and sends the indoor environment information to the main control unit;
the main control unit determines comfort level scores of passengers according to a preset evaluation model, the human body physiological information, the human body psychological information, the personal characteristic information, the position information and the indoor environment information, generates adjusting instructions according to the comfort level scores, and adjusts HVAC of the train based on the adjusting instructions.
10. The wearable device-based train HVAC control method of claim 9, wherein after determining the occupant comfort score, the method further comprises:
adjusting the comfort level score ratio of the passengers according to the personal characteristic information of the passengers;
generating an adjustment instruction according to the comfort score, comprising:
and generating an adjusting instruction according to the adjusted comfort level score ratio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111467574.6A CN114145720A (en) | 2021-12-03 | 2021-12-03 | Train HVAC control system and method based on wearable equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111467574.6A CN114145720A (en) | 2021-12-03 | 2021-12-03 | Train HVAC control system and method based on wearable equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114145720A true CN114145720A (en) | 2022-03-08 |
Family
ID=80452425
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111467574.6A Pending CN114145720A (en) | 2021-12-03 | 2021-12-03 | Train HVAC control system and method based on wearable equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114145720A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0532117A (en) * | 1991-07-26 | 1993-02-09 | Toyota Central Res & Dev Lab Inc | Air-conditioning control device |
| JP2005007929A (en) * | 2003-06-16 | 2005-01-13 | Denso Corp | Method and device for acquiring control conformity information of vehicular air-conditioner |
| US20100204807A1 (en) * | 2009-02-09 | 2010-08-12 | Novell, Inc. | Crowd optimization of ambient conditions |
| CN104633866A (en) * | 2015-02-15 | 2015-05-20 | 重庆大学 | Thermal comfort degree evaluating system based on environmental parameters and human body physiological parameters |
| US20160242680A1 (en) * | 2015-02-20 | 2016-08-25 | Umm Al-Qura University | Intelligent comfort level monitoring system |
| US20180202686A1 (en) * | 2017-01-17 | 2018-07-19 | International Business Machines Corporation | Regulating environmental conditions within an event venue |
| CN108836290A (en) * | 2018-07-16 | 2018-11-20 | 郑州大学 | A kind of wearable Metro Passenger comfort level and health intelligent perceive bracelet |
| CN109829663A (en) * | 2019-04-11 | 2019-05-31 | 郑州大学 | A kind of light rail train comfort level evaluating system based on cloud platform |
| US20200088427A1 (en) * | 2016-12-07 | 2020-03-19 | Carrier Corporation | Group dynamic environmental control system and method of operation |
| CN110949428A (en) * | 2019-12-09 | 2020-04-03 | 交控科技股份有限公司 | Train air conditioner parameter adjusting method and system |
| WO2021216232A1 (en) * | 2020-04-20 | 2021-10-28 | Gentherm Incorporated | Machine learning algorithm for controlling thermal comfort |
-
2021
- 2021-12-03 CN CN202111467574.6A patent/CN114145720A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0532117A (en) * | 1991-07-26 | 1993-02-09 | Toyota Central Res & Dev Lab Inc | Air-conditioning control device |
| JP2005007929A (en) * | 2003-06-16 | 2005-01-13 | Denso Corp | Method and device for acquiring control conformity information of vehicular air-conditioner |
| US20100204807A1 (en) * | 2009-02-09 | 2010-08-12 | Novell, Inc. | Crowd optimization of ambient conditions |
| CN104633866A (en) * | 2015-02-15 | 2015-05-20 | 重庆大学 | Thermal comfort degree evaluating system based on environmental parameters and human body physiological parameters |
| US20160242680A1 (en) * | 2015-02-20 | 2016-08-25 | Umm Al-Qura University | Intelligent comfort level monitoring system |
| US20200088427A1 (en) * | 2016-12-07 | 2020-03-19 | Carrier Corporation | Group dynamic environmental control system and method of operation |
| US20180202686A1 (en) * | 2017-01-17 | 2018-07-19 | International Business Machines Corporation | Regulating environmental conditions within an event venue |
| CN108836290A (en) * | 2018-07-16 | 2018-11-20 | 郑州大学 | A kind of wearable Metro Passenger comfort level and health intelligent perceive bracelet |
| CN109829663A (en) * | 2019-04-11 | 2019-05-31 | 郑州大学 | A kind of light rail train comfort level evaluating system based on cloud platform |
| CN110949428A (en) * | 2019-12-09 | 2020-04-03 | 交控科技股份有限公司 | Train air conditioner parameter adjusting method and system |
| WO2021216232A1 (en) * | 2020-04-20 | 2021-10-28 | Gentherm Incorporated | Machine learning algorithm for controlling thermal comfort |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104490371B (en) | A kind of thermal comfort detection method based on human body physiological parameter | |
| CN105078449B (en) | Senile dementia monitor system based on health service robot | |
| CN104633866B (en) | Hot comfort evaluation system based on ambient parameter and human body physiological parameter | |
| CN102715889B (en) | Mental load detection method | |
| CN109829663A (en) | A kind of light rail train comfort level evaluating system based on cloud platform | |
| CN105105773B (en) | A kind of fatigue driving eeg monitoring method compared based on multi-threshold | |
| CN105843065A (en) | Context awareness system based on wearable equipment, and control method | |
| CN110151203A (en) | Fatigue driving recognition methods based on multistage avalanche type convolution Recursive Networks EEG analysis | |
| CN105011932A (en) | Fatigue driving electroencephalogram monitoring method based on degree of meditation and degree of concentration | |
| DE102020213128A1 (en) | INFERENCE OF HEAT COMFORT OF A USER USING BODY SHAPE INFORMATION | |
| CN106295986A (en) | Health detection based on intelligent mobile terminal management system | |
| CN109124655A (en) | State of mind analysis method, device, equipment, computer media and multifunctional chair | |
| CN109745046A (en) | A kind of electrical impedance imaging electrode and system suitable under motion state | |
| CN105832348A (en) | Intelligent sensing blanket | |
| Ponnan et al. | Driver monitoring and passenger interaction system using wearable device in intelligent vehicle | |
| CN109717830A (en) | The fatigue detecting of parameter monitoring is moved based on eye movement and head and promotees system of waking up | |
| Li et al. | Correlation analysis and modeling of human thermal sensation with multiple physiological markers: An experimental study | |
| CN107122548A (en) | Towards the user cognition and the modeling method of quantitative model of Modeling Style | |
| CN108938011A (en) | A kind of test of multi-environment lower determining female physiological periodicity and guidance method and system | |
| CN114145720A (en) | Train HVAC control system and method based on wearable equipment | |
| CN202947795U (en) | Noise monitoring system for hospital | |
| CN104181819B (en) | Human brain attention assessment system and car mould driving environment thereof under drive simulating environment | |
| CN115331431B (en) | Pedestrian crossing psychological load test and evaluation method under signal lamp countdown condition | |
| CN116884288A (en) | Dizziness-resistant training platform and method | |
| CN110198354A (en) | A kind of passenger on public transport comfort based on smart phone and cloud platform and healthy evaluating system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220308 |
|
| RJ01 | Rejection of invention patent application after publication |