CN111949010A - Automobile maintenance management and control system based on Internet of things - Google Patents
Automobile maintenance management and control system based on Internet of things Download PDFInfo
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- CN111949010A CN111949010A CN202010880482.XA CN202010880482A CN111949010A CN 111949010 A CN111949010 A CN 111949010A CN 202010880482 A CN202010880482 A CN 202010880482A CN 111949010 A CN111949010 A CN 111949010A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 18
- 238000007405 data analysis Methods 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 18
- 239000000110 cooling liquid Substances 0.000 claims description 46
- 230000002159 abnormal effect Effects 0.000 claims description 39
- 238000012545 processing Methods 0.000 claims description 29
- 239000002826 coolant Substances 0.000 claims description 22
- 239000004576 sand Substances 0.000 claims description 18
- 239000010426 asphalt Substances 0.000 claims description 9
- 239000004568 cement Substances 0.000 claims description 9
- 239000004575 stone Substances 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000001816 cooling Methods 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 238000004378 air conditioning Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 abstract description 3
- 230000003746 surface roughness Effects 0.000 description 3
- 238000013480 data collection Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S5/00—Servicing, maintaining, repairing, or refitting of vehicles
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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Abstract
The invention discloses an automobile maintenance management and control system based on the Internet of things, which comprises a data acquisition module, a data analysis module, a database, a controller and an interconnection module, wherein the data acquisition module is used for acquiring automobile condition information and automobile external environment information of an automobile, the data analysis module analyzes the acquired data information and generates signals, the interconnection module is in communication connection with a user mobile phone, and the working state and the wear condition of a tire are analyzed by detecting the tire pressure and recording the road surface evenness and the road surface mileage of a driving road surface, so that the tire is maintained and replaced in time, and the potential safety hazard in the driving process of the automobile is avoided; through taking notes to air conditioner air conditioning time data to combine inside and outside ambient temperature difference and the air conditioner gear of car, carry out accurate calculation to air conditioner air conditioning efficiency, master the operating condition of on-vehicle air conditioner in real time, make things convenient for the car owner in time to maintain and clear up, guarantee the interior ambient comfort level of car.
Description
Technical Field
The invention relates to a management and control system, in particular to an automobile maintenance management and control system based on the Internet of things.
Background
With the increasing improvement of living standard of people, automobiles become a common consumer product from the original luxury which is hopeful and inaccessible, and the automobile is convenient for transportation for people by thousands of families, so that the automobile in China has huge conservation quantity, and the problem of maintenance of a large number of automobiles is followed.
For the maintenance of the automobile, a plurality of owners pay attention to the automobile after the automobile has faults in relevant aspects, or regularly maintain the automobile at fixed intervals, and the owners do not have clear understanding on the working states of certain parts of the automobile. Therefore, the automobile maintenance management and control system based on the Internet of things is provided.
Disclosure of Invention
The invention aims to provide an automobile maintenance management and control system based on the Internet of things, which analyzes the working state and the wear condition of a tire through detecting the tire pressure and recording the road surface evenness and the road surface mileage of a driving road surface, maintains and replaces the tire in time and avoids potential safety hazards in the driving process of a vehicle; through taking notes to air conditioner air conditioning time data to combine inside and outside ambient temperature difference and the air conditioner gear of car, carry out accurate calculation to air conditioner air conditioning efficiency, master the operating condition of on-vehicle air conditioner in real time, make things convenient for the car owner in time to maintain and clear up, guarantee the interior ambient comfort level of car.
The technical problem solved by the invention is as follows:
(1) how to analyze the working state and the wear condition of the tire by detecting the tire pressure and recording the road surface evenness and the road surface mileage of the driving road surface, and solve the problem that the vehicle owner can not accurately master the tire state in the prior art;
(2) how to carry out the accurate calculation to air conditioner temperature regulation efficiency through carrying out the record to air conditioner temperature regulation time data to combine inside and outside ambient temperature difference and air conditioner gear of car, solve the problem that vehicle-mounted air conditioner can not obtain in time maintenance among the prior art.
The purpose of the invention can be realized by the following technical scheme: the automobile maintenance management and control system based on the Internet of things comprises a data acquisition module, a data distribution module, a data processing module, a data analysis module, a database, an information judgment module, an information retrieval module, a controller, an interconnection module and a warning lamp;
the data acquisition module is used for acquiring vehicle condition information and external environment information of a vehicle, the vehicle condition information comprises tire pressure data, cooling liquid data and temperature adjusting time data, the acquired cooling liquid data is data of a vehicle engine in a normal working state, the data acquisition module transmits the acquired vehicle condition information to the data distribution module, the data distribution module transmits the tire pressure data and the cooling liquid data in the vehicle condition information to the data processing module, the data distribution module transmits the temperature adjusting time data to the data analysis module, the external environment information comprises air information and road surface information, and the data distribution module transmits the external environment information to the database for storage;
after receiving the tire pressure data and the cooling liquid data, the data processing module starts to perform processing operation, and the specific operation steps are as follows:
the method comprises the following steps: marking the acquired tire pressure data as PiI is 1,2,3 … … n, a normal tire pressure range P is preset in the data processing modulea-PbAnd P isa＜PbComparing the tire pressure data with a normal tire pressure range, and specifically calibrating as follows:
s1: when P is presenti≤PaWhen the tire pressure is too low, generating a tire pressure too low signal;
s2: when P is presenta＜Pi＜PbGenerating a tire pressure normal signal;
s3: when P is presenti≥PbGenerating a tire pressure overhigh signal;
s4: transmitting the generated tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to a data analysis module;
step two: acquiring coolant data, wherein the coolant data refers to data in normal operation of a vehicle, the coolant data comprises the temperature and the height of coolant in a cooling box, the temperature of the coolant is marked as T, the height of the coolant is marked as H, and a coolant limit temperature T is preset in a data processing moduleSAnd a coolant-limited height HSSeparately combining T and TSH and HSComparing, when T is more than or equal to TSOr H is less than or equal to HSGenerating a cooling liquid abnormal signal, generating a cooling liquid normal signal under other conditions, and directly transmitting the generated cooling liquid abnormal signal or the cooling liquid normal signal to the controller;
the data analysis module is combined with the received tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to perform analysis processing, the tire pressure too low signal, the tire pressure normal signal, the tire pressure too high signal and the tire excessive wear signal are transmitted to the controller, the data analysis module analyzes temperature adjusting time data and calculates the temperature adjusting efficiency of the air conditioner by using the temperature adjusting time data, the air conditioner normal signal or the air conditioner abnormal signal is generated according to the temperature adjusting efficiency of the air conditioner, the data analysis module transmits the air conditioner normal signal or the air conditioner abnormal signal to the controller, and the controller processes the received signals and feeds the processed signals back to a mobile phone of a user.
The invention has further technical improvements that: the data analysis module is crossed low signal, the normal signal of tire pressure and the too high signal of tire pressure to the tire pressure of receiving and is discerned, if the signal of discerning is the normal signal of tire pressure, directly sends the normal signal of tire pressure to the controller, if the signal of discerning crosses low signal or the too high signal of tire pressure for the tire pressure, then the information is transferred the module and is transferred road surface information from the database, and wherein road surface information includes road surface roughness and road conditions mileage, handles road surface information according to following step:
k1: the road surface flatness is divided into three grades, namely a cement road surface, an asphalt road surface and a sand stone road surface, which are respectively marked as A, B, C, and the road condition mileage represents mileage data of an automobile respectively driving on the road surfaces of the three grades and is respectively marked as AS、BS、CS；
K2: a is to beS、BS、CSSubstituted into the calculation formula of the tire wear degree,
wherein W represents the degree of tire wear, fa、fb、fcRepresenting the wear coefficients of the tires of three grades of road surface, respectively, fa、fb、fcCorresponding values are 0.235, 0.312 and 0.505, respectively, e representing a natural constant in mathematics;
k3: a tire replacement standard value R is preset in the data analysis moduleSThe obtained tire wear degree W is compared with a set tire replacement standard value RSFor comparison, the specific calibration is as follows:
e1: when W < RSWhen the tire pressure is too low, the tire pressure too high signal of the data processing module is directly transmitted to the controller;
e2: when W is not less than RSAnd generating a tire excessive wear signal and transmitting the tire excessive wear signal to the controller.
The invention has further technical improvements that: the road surface evenness is shot by the camera, the shot pictures are transmitted to the information judging module, corresponding road surface sample pictures are prestored in the database, the road surface sample pictures comprise cement road surface samples, asphalt road surface samples and sand stone road surface samples, the shot pictures are compared with the road surface sample pictures in the database by the information judging module, the running road surface is judged to be concrete cement road surface, asphalt road surface or sand stone road surface, the judged road surface evenness is stored in the database, and the camera shoots the road surface once every thirty seconds.
The invention has further technical improvements that: the data analysis module receives temperature adjustment time data, the temperature adjustment time data represent the time required for changing the current temperature in the vehicle to the set temperature of the air conditioner, the information retrieval module retrieves air information from the database and transmits the air information to the data analysis module, the air information represents the temperature of air outside the vehicle, and the refrigeration efficiency of the air conditioner is analyzed, and the specific analysis steps are as follows:
the method comprises the following steps: respectively marking the outside air temperature, the current inside temperature and the set temperature of the air conditioner as Tw, Tn and Tk, marking the temperature adjusting time data as t, and marking the set gear of the air conditioner as DiAnd i is 1,2,3,4, 5;
step two: substituting the data information marked and assigned in the step one into an air conditioner temperature regulation efficiency calculation formula, wherein the calculation formula is as follows:
wherein eta represents the temperature regulating efficiency of the air conditioner, represents the influence coefficient of temperature difference, and e represents the mathematical expressionA natural constant;
step three: a preset efficiency value eta is set in the data analysis moduleSCalculating the temperature-adjusting efficiency eta and the preset efficiency eta of the air conditionerSComparing if eta is larger than etaSGenerating normal signal of air conditioner if eta is less than etaSAnd generating an air conditioner abnormal signal and transmitting the generated air conditioner normal signal or air conditioner abnormal signal to the controller.
The invention has further technical improvements that: the controller receives a cooling liquid normal signal, a cooling liquid abnormal signal, a tire pressure too low signal, a tire pressure normal signal, a tire pressure too high signal, a tire excessive wear signal, an air conditioner normal signal and an air conditioner abnormal signal, and marks the cooling liquid abnormal signal, the tire pressure too low signal, the tire pressure too high signal, the tire excessive wear signal and the air conditioner abnormal signal as negative signals, when the controller identifies the negative signals, the warning lamp is controlled to flicker, the controller transmits all received signals to the interconnection module, the interconnection module is in communication connection with a user mobile phone, and the interconnection module transmits the received signals to the user mobile phone for the user to check.
Compared with the prior art, the invention has the beneficial effects that:
1. when the tire pressure monitoring device is used, the data processing module processes and operates the tire pressure data and the cooling liquid data after receiving the tire pressure data and the cooling liquid data, compares the acquired tire pressure data with a preset normal tire pressure range, generates a tire pressure too low signal, a tire pressure normal signal and a tire pressure too high signal, and transmits the generated signals to the data analysis module; respectively comparing the obtained temperature and height of the cooling liquid with preset limited temperature and height of the cooling liquid, generating abnormal signals or normal signals of the cooling liquid, and directly transmitting the generated abnormal signals or normal signals of the cooling liquid to a controller; the data analysis module is used for analyzing and processing the received tire pressure over-low signal, the tire pressure normal signal and the tire pressure over-high signal and transmitting the tire pressure over-low signal, the tire pressure normal signal, the tire pressure over-high signal and the tire excessive wear signal to the controller; not only monitor the coolant liquid in the cooler bin, through the detection to the tire pressure and to the road surface roughness and the road surface mileage's of the road surface that traveles record, carry out the analysis to the operating condition and the wearing and tearing condition of tire moreover, remind the car owner in time to carry out maintenance or change to the tire, avoid taking place the accident at the vehicle driving in-process, ensured car owner's driving safety.
2. According to the invention, a data analysis module analyzes temperature regulation time data and calculates the temperature regulation efficiency of an air conditioner by using the temperature regulation time data, a normal signal or an abnormal signal of the air conditioner is generated according to the temperature regulation efficiency of the air conditioner, the normal signal or the abnormal signal of the air conditioner is transmitted to a controller by the data analysis module, and the controller processes the received signal and feeds the processed signal back to a mobile phone of a user; through recording the air conditioner temperature adjusting time data, and combining the difference value of the internal and external environment temperatures of the vehicle and the gear of the air conditioner, the air conditioner temperature adjusting efficiency is accurately calculated, and the vehicle owner is reminded of maintaining and cleaning the vehicle-mounted air conditioner in time, so that the air purifying quality in the vehicle is guaranteed, and the riding comfort level is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the automobile maintenance management and control system based on the internet of things comprises a data acquisition module, a data distribution module, a data processing module, a data analysis module, a database, an information judgment module, an information retrieval module, a controller, an interconnection module and a warning light;
the data acquisition module is used for acquiring vehicle condition information and external environment information of a vehicle, the vehicle condition information comprises tire pressure data, cooling liquid data and temperature adjusting time data, the acquired cooling liquid data is data of a vehicle engine in a normal working state, the data acquisition module transmits the acquired vehicle condition information to the data distribution module, the data distribution module transmits the tire pressure data and the cooling liquid data in the vehicle condition information to the data processing module, the data distribution module transmits the temperature adjusting time data to the data analysis module, the external environment information comprises air information and road surface information, and the data distribution module transmits the external environment information to the database for storage;
after receiving the tire pressure data and the cooling liquid data, the data processing module starts to perform processing operation, and the specific operation steps are as follows:
the method comprises the following steps: marking the acquired tire pressure data as PiI is 1,2,3 … … n, a normal tire pressure range P is preset in the data processing modulea-PbAnd P isa＜PbComparing the tire pressure data with a normal tire pressure range, and specifically calibrating as follows:
s1: when P is presenti≤PaWhen the tire pressure is too low, generating a tire pressure too low signal;
s2: when P is presenta＜Pi＜PbGenerating a tire pressure normal signal;
s3: when P is presenti≥PbGenerating a tire pressure overhigh signal;
s4: transmitting the generated tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to a data analysis module;
step two: acquiring coolant data, wherein the coolant data refers to data in normal operation of a vehicle, the coolant data comprises the temperature and the height of coolant in a cooling box, the temperature of the coolant is marked as T, the height of the coolant is marked as H, and a coolant limit temperature T is preset in a data processing moduleSAnd a coolant-limited height HSSeparately combining T and TSH and HSComparing, when T is more than or equal to TSOr H is less than or equal to HSWhen the cooling liquid is abnormal, the cooling liquid abnormal signal is generated, and the cooling liquid normal signal is generated under other conditionsThe generated abnormal signal or normal signal of the cooling liquid is transmitted to a controller;
the data analysis module is combined with the received tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to perform analysis processing, the tire pressure too low signal, the tire pressure normal signal, the tire pressure too high signal and the tire excessive wear signal are transmitted to the controller, the data analysis module analyzes temperature adjusting time data and calculates the temperature adjusting efficiency of the air conditioner by using the temperature adjusting time data, the air conditioner normal signal or the air conditioner abnormal signal is generated according to the temperature adjusting efficiency of the air conditioner, the data analysis module transmits the air conditioner normal signal or the air conditioner abnormal signal to the controller, and the controller processes the received signals and feeds the processed signals back to a mobile phone of a user.
The data analysis module is crossed low signal, the normal signal of tire pressure and the too high signal of tire pressure to the tire pressure of receiving and is discerned, if the signal of discerning is the normal signal of tire pressure, directly sends the normal signal of tire pressure to the controller, if the signal of discerning crosses low signal or the too high signal of tire pressure for the tire pressure, then the information is transferred the module and is transferred road surface information from the database, and wherein road surface information includes road surface roughness and road conditions mileage, handles road surface information according to following step:
k1: the road surface flatness is divided into three grades, namely a cement road surface, an asphalt road surface and a sand stone road surface, which are respectively marked as A, B, C, and the road condition mileage represents mileage data of an automobile respectively driving on the road surfaces of the three grades and is respectively marked as AS、BS、CS；
K2: a is to beS、BS、CSSubstituted into the calculation formula of the tire wear degree,
wherein W represents the degree of tire wear, fa、fb、fcRepresenting the wear coefficients of the tires of three grades of road surface, respectively, fa、fb、fcCorresponding values are 0.235, 0.312 and 0.505, respectively, e representing a natural constant in mathematics;
k3: a tire replacement standard value R is preset in the data analysis moduleSThe obtained tire wear degree W is compared with a set tire replacement standard value RSFor comparison, the specific calibration is as follows:
e1: when W < RSWhen the tire pressure is too low, the tire pressure too high signal of the data processing module is directly transmitted to the controller;
e2: when W is not less than RSAnd generating a tire excessive wear signal and transmitting the tire excessive wear signal to the controller.
The road surface evenness is shot by the camera, the shot pictures are transmitted to the information judging module, corresponding road surface sample pictures are prestored in the database, the road surface sample pictures comprise cement road surface samples, asphalt road surface samples and sand stone road surface samples, the shot pictures are compared with the road surface sample pictures in the database by the information judging module, the running road surface is judged to be concrete cement road surface, asphalt road surface or sand stone road surface, the judged road surface evenness is stored in the database, and the camera shoots the road surface once every thirty seconds.
The data analysis module receives temperature adjustment time data, the temperature adjustment time data represent the time required for changing the current temperature in the vehicle to the set temperature of the air conditioner, the information retrieval module retrieves air information from the database and transmits the air information to the data analysis module, the air information represents the temperature of air outside the vehicle, and the refrigeration efficiency of the air conditioner is analyzed, and the specific analysis steps are as follows:
the method comprises the following steps: respectively marking the outside air temperature, the current inside temperature and the set temperature of the air conditioner as Tw, Tn and Tk, marking the temperature adjusting time data as t, and marking the set gear of the air conditioner as DiAnd i is 1,2,3,4, 5;
step two: substituting the data information marked and assigned in the step one into an air conditioner temperature regulation efficiency calculation formula, wherein the calculation formula is as follows:
wherein eta represents the temperature regulating efficiency of the air conditioner, represents the influence coefficient of temperature difference, and e represents one of mathematicsA natural constant;
step three: a preset efficiency value eta is set in the data analysis moduleSCalculating the temperature-adjusting efficiency eta and the preset efficiency eta of the air conditionerSComparing if eta is larger than etaSGenerating normal signal of air conditioner if eta is less than etaSAnd generating an air conditioner abnormal signal and transmitting the generated air conditioner normal signal or air conditioner abnormal signal to the controller.
The controller receives a cooling liquid normal signal, a cooling liquid abnormal signal, a tire pressure too low signal, a tire pressure normal signal, a tire pressure too high signal, a tire excessive wear signal, an air conditioner normal signal and an air conditioner abnormal signal, and marks the cooling liquid abnormal signal, the tire pressure too low signal, the tire pressure too high signal, the tire excessive wear signal and the air conditioner abnormal signal as negative signals, when the controller identifies the negative signals, the warning lamp is controlled to flicker, the controller transmits all received signals to the interconnection module, the interconnection module is in communication connection with a user mobile phone, and the interconnection module transmits the received signals to the user mobile phone for the user to check.
The working principle is as follows: in the working process of the automobile maintenance management and control system based on the Internet of things, automobile condition information and external environment information of an automobile are collected in real time through a data collection module, the data collection module transmits the collected automobile condition information to a data distribution module, the data distribution module transmits tire pressure data and cooling liquid data in the automobile condition information to a data processing module, the data distribution module transmits temperature adjusting time data to a data analysis module, and the data distribution module transmits the external environment information to a database for storage; the data processing module processes the tire pressure data and the cooling liquid data after receiving the tire pressure data and the cooling liquid data, compares the acquired tire pressure data with a preset normal tire pressure range, generates a tire pressure too low signal, a tire pressure normal signal and a tire pressure too high signal, and transmits the generated signals to the data analysis module; the method comprises the steps of obtaining the temperature and the height of cooling liquid, comparing the temperature and the height with preset limited temperature and limited height of the cooling liquid respectively, generating abnormal signals or normal signals of the cooling liquid, and directly transmitting the generated abnormal signals or normal signals of the cooling liquid to a controller; the data analysis module is combined with the received tire pressure over-low signal, the tire pressure normal signal and the tire pressure over-high signal to perform analysis processing, the tire pressure over-low signal, the tire pressure normal signal, the tire pressure over-high signal and the tire excessive wear signal are transmitted to the controller, the data analysis module analyzes temperature adjusting time data and calculates the temperature adjusting efficiency of the air conditioner by using the temperature adjusting time data, the air conditioner normal signal or the air conditioner abnormal signal is generated according to the temperature adjusting efficiency of the air conditioner, the data analysis module transmits the air conditioner normal signal or the air conditioner abnormal signal to the controller, and the controller processes the received signals and feeds the processed signals back to a mobile phone of a user.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. Car maintenance management and control system based on thing networking, its characterized in that: the system comprises a data acquisition module, a data distribution module, a data processing module, a data analysis module, a database, an information judgment module, an information calling module, a controller, an interconnection module and a warning lamp;
the data acquisition module is used for acquiring vehicle condition information and external environment information of a vehicle, the vehicle condition information comprises tire pressure data, cooling liquid data and temperature adjusting time data, the acquired cooling liquid data is data of a vehicle engine in a normal working state, the data acquisition module transmits the acquired vehicle condition information to the data distribution module, the data distribution module transmits the tire pressure data and the cooling liquid data in the vehicle condition information to the data processing module, the data distribution module transmits the temperature adjusting time data to the data analysis module, the external environment information comprises air information and road surface information, and the data distribution module transmits the external environment information to the database for storage;
after receiving the tire pressure data and the cooling liquid data, the data processing module starts to perform processing operation, and the specific operation steps are as follows:
the method comprises the following steps: marking the acquired tire pressure data as PiI is 1,2,3 … … n, a normal tire pressure range P is preset in the data processing modulea-PbAnd P isa＜PbComparing the tire pressure data with a normal tire pressure range, and specifically calibrating as follows:
s1: when P is presenti≤PaWhen the tire pressure is too low, generating a tire pressure too low signal;
s2: when P is presenta＜Pi＜PbGenerating a tire pressure normal signal;
s3: when P is presenti≥PbGenerating a tire pressure overhigh signal;
s4: transmitting the generated tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to a data analysis module;
step two: acquiring coolant data, wherein the coolant data refers to data in normal operation of a vehicle, the coolant data comprises the temperature and the height of coolant in a cooling box, the temperature of the coolant is marked as T, the height of the coolant is marked as H, and a coolant limit temperature T is preset in a data processing moduleSAnd a coolant-limited height HSSeparately combining T and TSH and HSComparing, when T is more than or equal to TSOr H is less than or equal to HSGenerating a cooling liquid abnormal signal, generating a cooling liquid normal signal under other conditions, and directly transmitting the generated cooling liquid abnormal signal or the cooling liquid normal signal to the controller;
the data analysis module is combined with the received tire pressure too low signal, the tire pressure normal signal and the tire pressure too high signal to perform analysis processing, the tire pressure too low signal, the tire pressure normal signal, the tire pressure too high signal and the tire excessive wear signal are transmitted to the controller, the data analysis module analyzes temperature adjusting time data and calculates the temperature adjusting efficiency of the air conditioner by using the temperature adjusting time data, the air conditioner normal signal or the air conditioner abnormal signal is generated according to the temperature adjusting efficiency of the air conditioner, the data analysis module transmits the air conditioner normal signal or the air conditioner abnormal signal to the controller, and the controller processes the received signals and feeds the processed signals back to a mobile phone of a user.
2. The internet of things-based automobile maintenance management and control system according to claim 1, wherein the data analysis module identifies a received tire pressure too low signal, a tire pressure normal signal and a tire pressure too high signal, directly transmits the tire pressure normal signal to the controller if the identified signal is the tire pressure normal signal, and retrieves road information from the database if the identified signal is the tire pressure too low signal or the tire pressure too high signal, wherein the road information includes road flatness and road mileage, and the road information is processed according to the following steps:
k1: the road surface flatness is divided into three grades, namely a cement road surface, an asphalt road surface and a sand stone road surface, which are respectively marked as A, B, C, and the road condition mileage represents mileage data of an automobile respectively driving on the road surfaces of the three grades and is respectively marked as AS、BS、CS；
K2: a is to beS、BS、CSSubstituted into the calculation formula of the tire wear degree,
wherein W represents the degree of tire wear, fa、fb、fcRepresenting the wear coefficients of the tires of three grades of road surface, respectively, fa、fb、fcCorresponding values are 0.235, 0.312 and 0.505, respectively, e representing a natural constant in mathematics;
k3: a tire replacement standard value R is preset in the data analysis moduleSThe obtained tire wear degree W is compared with a set tire replacement standard value RSFor comparison, the specific calibration is as follows:
e1: when W < RSWhen the tire pressure of the data processing module is neededThe over-low signal or the over-high tire pressure signal is directly transmitted to the controller;
e2: when W is not less than RSAnd generating a tire excessive wear signal and transmitting the tire excessive wear signal to the controller.
3. The internet of things-based automobile maintenance management and control system according to claim 2, wherein the road flatness is shot by a camera, the shot picture is transmitted to the information determination module, a corresponding road sample picture is prestored in the database, the road sample picture comprises a cement road sample, an asphalt road sample and a sand and stone road sample, the information determination module compares the shot picture with the road sample picture in the database, the running road is determined to be the cement road, the asphalt road or the sand and stone road, the determined road flatness is stored in the database, and the camera shoots the road every thirty seconds.
4. The internet of things-based automobile maintenance management and control system according to claim 1, wherein the data analysis module receives temperature adjustment time data, the temperature adjustment time data represents time required for changing from a current in-vehicle temperature to a set temperature of an air conditioner, the information retrieval module retrieves air information from a database and transmits the air information to the data analysis module, the air information represents an out-vehicle air temperature, and the air information analyzes the cooling efficiency of the air conditioner, and the specific analysis steps are as follows:
the method comprises the following steps: respectively marking the outside air temperature, the current inside temperature and the set temperature of the air conditioner as Tw, Tn and Tk, marking the temperature adjusting time data as t, and marking the set gear of the air conditioner as DiAnd i is 1,2,3,4, 5;
step two: substituting the data information marked and assigned in the step one into an air conditioner temperature regulation efficiency calculation formula, wherein the calculation formula is as follows:
wherein eta represents the temperature regulating efficiency of the air conditioner, represents the influence coefficient of temperature difference, and e represents one of mathematicsA natural constant;
step three: a preset efficiency value eta is set in the data analysis moduleSCalculating the temperature-adjusting efficiency eta and the preset efficiency eta of the air conditionerSComparing if eta is larger than etaSGenerating normal signal of air conditioner if eta is less than etaSAnd generating an air conditioner abnormal signal and transmitting the generated air conditioner normal signal or air conditioner abnormal signal to the controller.
5. The internet of things-based automobile maintenance management and control system according to claim 1, wherein the controller receives a normal cooling liquid signal, an abnormal cooling liquid signal, an excessively low tire pressure signal, a normal tire pressure signal, an excessively high tire pressure signal, an excessively worn tire signal, a normal air conditioner signal and an abnormal air conditioner signal, and marks the abnormal cooling liquid signal, the excessively low tire pressure signal, the excessively high tire pressure signal, the excessively worn tire signal and the abnormal air conditioner signal as negative signals.
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