CN117168558B - High-end intelligent real-time monitoring method for fuel consumption of caravan - Google Patents
High-end intelligent real-time monitoring method for fuel consumption of caravan Download PDFInfo
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Abstract
The invention relates to the technical field of oil consumption monitoring, and provides a high-end intelligent real-time monitoring method for oil consumption of a motor home, which comprises the following steps: collecting the environment temperature outside the high-end intelligent motor home; acquiring the set temperature and oil consumption monitoring data of an air conditioning system; acquiring an air-conditioning temperature difference coefficient according to the set temperature and the ambient temperature of an air-conditioning system; acquiring first same variation of air conditioner oil consumption, second same variation of air conditioner oil consumption and third same variation of air conditioner oil consumption according to the oil consumption monitoring data and the air conditioner temperature difference coefficient, and further acquiring an air conditioner oil consumption same variation index; and acquiring updated probability density according to the oil consumption monitoring data and the air conditioner oil consumption co-variation index, further acquiring abnormal scores at each moment, and acquiring abnormal oil consumption data according to the abnormal scores. The invention aims to solve the problem that the existing real-time monitoring method of the oil consumption is inaccurate in monitoring the oil consumption of the motor home.
Description
Technical Field
The invention relates to the technical field of oil consumption monitoring, in particular to a high-end intelligent real-time monitoring method for oil consumption of a motor home.
Background
The motor home is a mixture of an automobile and a house, is similar to a vehicle of a mobile house, and can be used for various purposes of travel, camping, vacation and exploration. The motor home has higher flexibility and freedom degree, and meets the requirement of modern people on pursuing free life style. The high-end intelligent motor home is generally configured by adopting the latest technology and intellectualization, an intelligent home system is arranged in the motor home, equipment such as illumination, air conditioner, sound and the like in the motor home can be remotely controlled through a mobile phone or other equipment, and meanwhile, the system for monitoring the automatic oil consumption is provided, and an alarm is given to the condition of abnormal oil consumption. The fuel consumption of the motor home is monitored in real time, so that a driver can better master the fuel consumption, and a route and a fueling plan are reasonably planned to save fuel cost. The fuel consumption is monitored in real time, the abnormal fuel consumption is alarmed, and when the fuel consumption suddenly increases or exceeds a normal range, a driver can timely learn possible problems and timely conduct fault investigation so as to avoid more serious damage.
Compared with a common vehicle, the high-end intelligent motor home has more power consumption of a system in the motor home, the system in the motor home can cause extra fuel consumption except for fuel consumption in the driving process, meanwhile, the motor home is larger, the power consumption of the internal system is far greater than that of the common vehicle, so that the extra fuel consumption is also greater than that of the common vehicle, and when the motor home fuel consumption is monitored in real time, the fuel consumption of the system in the motor home is not considered generally, and the problem of inaccurate monitoring of the motor home fuel consumption occurs.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a high-end intelligent real-time monitoring method for the fuel consumption of a motor home, so as to solve the problem that the existing real-time monitoring method for the fuel consumption of the motor home is inaccurate in monitoring the fuel consumption of the motor home, and the adopted technical scheme is as follows:
the embodiment of the invention provides a method for monitoring the oil consumption of a high-end intelligent motor home in real time, which comprises the following steps:
collecting the environmental temperature of each moment outside the high-end intelligent motor home; acquiring air conditioning system set temperature and oil consumption monitoring data of the high-end intelligent caravan at each moment, wherein the oil consumption monitoring data comprise, but are not limited to, instantaneous oil consumption, average oil consumption and pressure of a fuel system;
acquiring an air-conditioning temperature difference coefficient according to the set temperature and the ambient temperature of an air-conditioning system; acquiring first same variation of air conditioner oil consumption according to the instantaneous oil consumption at different moments and the air conditioner temperature difference coefficient; acquiring a second same variation of air conditioner oil consumption according to the average oil consumption at different moments and the air conditioner temperature difference coefficient; acquiring a third same variation of air conditioner oil consumption according to the pressure of the fuel system at different moments and the air conditioner temperature difference coefficient; acquiring an air conditioner oil consumption co-variation coefficient according to the air conditioner oil consumption first co-variation, the air conditioner oil consumption second co-variation and the air conditioner oil consumption third co-variation; acquiring an air conditioner oil consumption co-variation index according to the air conditioner oil consumption co-variation coefficient;
acquiring a first probability density at each moment according to the instant oil consumption; acquiring a second probability density at each moment according to the average oil consumption; acquiring a third probability density at each moment according to the pressure of the fuel system; acquiring probability density of each moment according to the first probability density, the second probability density and the third probability density, and further acquiring updated probability density of the moment by combining the air conditioner oil consumption same-variation index; acquiring an anomaly score of each moment according to the updated probability density of all the moments; and acquiring abnormal oil consumption data according to the abnormal scores.
Further, the specific method for obtaining the average oil consumption comprises the following steps:
each moment is respectively marked as a moment to be analyzed;
the starting time of the high-end intelligent motor home is recorded as the initial time;
and (3) recording the average value of the instantaneous oil consumption at all the moments from the initial moment to the moment to be analyzed as the average oil consumption at the moment to be analyzed.
Further, the method for obtaining the air-conditioning temperature difference coefficient according to the set temperature and the ambient temperature of the air-conditioning system comprises the following specific steps:
the absolute value of the difference between the set temperature of the air conditioning system at the moment to be analyzed and the ambient temperature at the moment to be analyzed is recorded as the ambient temperature difference at the moment to be analyzed;
the absolute value of the difference value between the set temperature of the air conditioning system at the moment to be analyzed and the preset comfort temperature is recorded as the air conditioning temperature difference at the moment to be analyzed;
and (3) recording the product of the environmental temperature difference and the air-conditioning temperature difference at the moment to be analyzed as an air-conditioning temperature difference coefficient at the moment to be analyzed.
Further, the method for obtaining the first same variation of the air conditioner oil consumption according to the instantaneous oil consumption at different moments and the air conditioner temperature difference coefficient comprises the following specific steps:
each time except the time to be analyzed is respectively marked as a change time;
the ratio between the instant oil consumption at the moment to be analyzed and the instant oil consumption at the moment to be changed is recorded as the instant oil consumption difference between the moment to be analyzed and the moment to be changed;
the ratio of the air-conditioning temperature difference coefficient at the moment to be analyzed to the air-conditioning temperature difference coefficient at the moment to be changed is recorded as the air-conditioning temperature difference coefficient ratio between the moment to be analyzed and the moment to be changed;
the difference value between the air-conditioning temperature difference coefficient ratio between the moment to be analyzed and the change moment and the instantaneous oil consumption difference is recorded as the oil consumption change difference between the moment to be analyzed and the change moment;
and (3) recording the average value of the oil consumption change difference between the moment to be analyzed and all the change moments as the first same variation of the oil consumption of the air conditioner at the moment to be analyzed.
Further, the method for obtaining the air conditioner oil consumption co-variation coefficient according to the air conditioner oil consumption first co-variation, the air conditioner oil consumption second co-variation and the air conditioner oil consumption third co-variation comprises the following specific steps:
and (3) recording the average value of the first same variation of the air conditioner oil consumption, the second same variation of the air conditioner oil consumption and the third same variation of the air conditioner oil consumption at the moment to be analyzed as the air conditioner oil consumption same variation coefficient at the moment to be analyzed.
Further, the method for obtaining the air conditioner oil consumption co-variation index according to the air conditioner oil consumption co-variation coefficient comprises the following specific steps:
and taking the natural constant as a base number, and taking the inverse number of the air-conditioner oil consumption co-variation coefficient at the moment to be analyzed as the power of the exponent to be analyzed as the air-conditioner oil consumption co-variation exponent at the moment to be analyzed.
Further, the method for obtaining the first probability density at each moment according to the instant oil consumption comprises the following specific steps:
arranging the instantaneous oil consumption at all moments in sequence from small to large to obtain an instantaneous oil consumption data sequence;
dividing the instantaneous fuel consumption data sequence into a preset number of intervals on average, drawing a dynamic width histogram, and obtaining probability density of each interval;
and (3) marking the probability density of the interval where the instantaneous oil consumption at the moment to be analyzed is located as the first probability density at the moment to be analyzed.
Further, the method for obtaining the probability density at each moment according to the first probability density, the second probability density and the third probability density, and further obtaining the updated probability density at the moment by combining the air conditioner oil consumption co-variation index comprises the following specific steps:
the product of the first probability density, the second probability density and the third probability density at the moment to be analyzed is recorded as the probability density at the moment to be analyzed;
and (3) recording the product of the air conditioner oil consumption co-variation index and the probability density at the moment to be analyzed as the updated probability density at the moment to be analyzed.
Further, the method for obtaining the anomaly score of each moment according to the updated probability density of all moments comprises the following specific steps:
and obtaining the anomaly scores of all the moments by using an anomaly data detection method for the updated probability densities of all the moments.
Further, the method for obtaining abnormal oil consumption data according to the abnormal score comprises the following specific steps:
recording the time when the abnormal score is larger than a preset threshold as abnormal time;
and recording the oil consumption monitoring data at the abnormal moment as abnormal oil consumption data.
The beneficial effects of the invention are as follows: according to the method, according to the influence of the difference between the air-conditioning temperature and the environmental temperature on the fuel consumption in the running process of the motor home, firstly, an air-conditioning temperature difference coefficient is obtained, and according to the similarity degree of the change condition between the air-conditioning temperature difference coefficient and various oil consumption data, an air-conditioning oil consumption co-variation index is obtained, wherein the air-conditioning oil consumption co-variation index reflects the influence degree of the oil consumption monitoring data at each moment by the air-conditioning temperature difference coefficient; further analyzing the oil consumption monitoring data, giving larger probability density weight to the oil consumption monitoring data which accords with the oil consumption condition of the air conditioner, acquiring smaller abnormal scores, avoiding the problem of false alarm to the oil consumption monitoring data because the consumption of the air conditioning system in the car is not considered, being beneficial to the accurate discovery of the abnormal condition of the oil consumption of the motor home by a driver, ensuring the healthy running of the motor home and the safety of the driver, and improving the accuracy of monitoring the oil consumption of the motor home.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for monitoring fuel consumption of a high-end intelligent caravan in real time according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an in-car air conditioning system;
fig. 3 is a flowchart for acquiring the co-variation coefficient of the oil consumption of the air conditioner.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a method for monitoring fuel consumption of a high-end intelligent caravan in real time according to an embodiment of the invention is shown, and the method comprises the following steps:
s1, acquiring oil consumption data in a motor home fuel system, and preprocessing the oil consumption data to obtain oil consumption monitoring data.
In the houseThe fuel system of the car is provided with a sensor for monitoring the fuel consumption data of the car, wherein the sensor for monitoring the fuel consumption comprises a flowmeter and a pressure sensor, and the sensor is used for detecting the fuel consumption of the car at intervals during the running process of the carAcquiring primary oil consumption data, and saving storage space while ensuring the real-time property of oil consumption monitoring data>The empirical value of (2) is 1 +>. Wherein the fuel consumption data comprises: instantaneous fuel consumption, average fuel consumption, and fuel system pressure.
Will be the firstThe time of data acquisition is marked as +.>The pressure sensor is at time->The pressure of the fuel system obtained is recorded as +.>The method comprises the steps of carrying out a first treatment on the surface of the At time->To the moment->The fuel quantity through the flowmeter in the period between is recorded as time +.>Instantaneous fuel consumption of (2)Time->Average fuel consumption at>For starting from the moment of travel of the motor home to the moment +.>The average value of the instantaneous fuel consumption at all times contained up to.
Co-acquisitionFuel consumption data for each time instant->The fuel consumption data is acquired according to the time sequence, and in order to better keep the trend of the fuel consumption data and eliminate noise, the invention uses weighted moving average filtering to filter the fuel consumption data, acquires the processed fuel consumption monitoring data, and an operator can select other denoising modes according to actual conditions.
So far, the oil consumption monitoring data is obtained.
S2, acquiring an air conditioner temperature difference coefficient according to the difference between the air conditioner set temperature and the ambient temperature; and analyzing the energy consumption condition of the air conditioning system of the motor home and the fuel consumption condition of the internal combustion engine of the motor home according to the temperature difference coefficient of the air conditioner to obtain the oil consumption same-change index of the air conditioner.
During the running of the motor home, fuel consumption is caused not only by the running of the vehicle, but also by the running of some devices in the motor home. Because the car body structure of the motor home is bigger, more living facilities are contained in the car body, and particularly, when an air conditioning system in the motor home works, a large amount of fuel oil can be additionally consumed, as shown in fig. 2, which is a schematic diagram of the air conditioning system in the motor home, and water drops in the diagram show the positions of air outlets. If the additional consumption of the air conditioning system in the motor home is not considered during the fuel consumption monitoring, a false alarm for abnormal fuel consumption occurs, so that the energy consumption of the air conditioning system and the fuel consumption of the internal combustion engine of the motor home need to be analyzed to obtain the same-variation coefficient of the fuel consumption of the air conditioner, as shown in fig. 3, and the same-variation coefficient obtaining flow chart of the fuel consumption of the air conditioner is provided.
Based on the analysis, the invention synchronously collects the data of the air conditioner in the vehicle and the temperature data of the outside environment at the time of collecting the oil consumption monitoring dataThe obtained air conditioning system has a set temperature of +.>The temperature outside the motor home is recorded as ambient temperature +.>。
When the set temperature of the air conditioner is greatly different from the ambient temperature, the air conditioner needs to consume more energy to reduce or improve the temperature in the motor home, the power consumption can be increased, and the consumed fuel quantity can be increased; when the difference between the set temperature of the air conditioner and the ambient temperature is smaller, the energy consumed by the air conditioner for adjusting the temperature in the motor home is smaller, the power consumption is smaller, and the fuel consumption is smaller at the moment.
Acquiring an air conditioner temperature difference coefficient according to the acquired air conditioner system set temperature and the acquired environment temperatureTime->Temperature difference coefficient of air conditioner->The calculation formula of (2) is as follows:
in the method, in the process of the invention,for time->Temperature difference coefficient of an air conditioner; />For the air conditioning system at the time of acquisition +.>The set temperature is set to be higher than the set temperature,for acquisition time +.>Ambient temperature; />Taking an empirical value of 26 for the comfort temperature of the air conditioner; />The value of (2) is 1 to +.>An integer therebetween.
When the difference between the temperature of the air conditioner and the temperature outside the motor home is large, the fuel consumption of the air conditioner is large, and the corresponding air conditioner temperature difference coefficient is large; meanwhile, the air conditioner has the most power-saving and comfortable temperature, the temperature of 26 ℃ is selected as the optimal comfortable temperature of the air conditioner, when the set temperature of the air conditioner deviates from the optimal comfortable temperature, the energy consumption of the air conditioner can be increased, the consumed fuel quantity can be increased, and the corresponding temperature difference coefficient of the air conditioner is larger.
Based on the analysis, the difference of the air-conditioning temperature difference coefficient and the difference of the instantaneous oil consumption between different moments have certain similarity, so that the first same-time variation of the air-conditioning oil consumption can be obtained according to the air-conditioning temperature difference coefficient and the instantaneous oil consumption at different moments, wherein the moments areAir conditioner fuel consumption first same variation ∈ ->The calculation formula is as follows:
in the method, in the process of the invention,for time->The first air conditioner oil consumption is poor; />For time->Is characterized by that the air-conditioning temperature difference coefficient,for time->Temperature difference coefficient of an air conditioner; />For time->Instantaneous fuel consumption of->For time->Instantaneous fuel consumption of->The value range of j is j +.>。
The temperature difference coefficient of the air conditioner reflects the fuel consumption degree of the air conditioner, and when the temperature difference coefficient of the air conditioner is larger, the air conditioner regulates the temperature in the motor home to consume more fuel; in actual situation, the air-conditioning temperature difference system acquired at two momentsThe degree of change of the number is consistent with the degree of change of the instantaneous fuel consumption corresponding to the two moments, namelyThe value of (2) and->The values of the temperature difference and the fuel consumption of the air conditioner are similar, and the value of the first same variation of the fuel consumption of the air conditioner is close to 0 at the moment, which indicates that the temperature difference and the fuel consumption of the air conditioner have the characteristic of synchronous change.
From this, the first same deterioration in air-conditioning fuel consumption at each moment is obtained.
According to the method, the second same variation of the air conditioner oil consumption at each moment is obtained according to the air conditioner temperature difference coefficient and the average oil consumption at different momentsThe method comprises the steps of carrying out a first treatment on the surface of the Acquiring a third same variation of air conditioner oil consumption at each moment according to air conditioner temperature difference coefficients at different moments and pressure of a fuel system>。
In order to obtain the correlation between the air conditioner regulating temperature and various oil consumption changes, according to the momentThe air conditioner fuel consumption first same variation, the air conditioner fuel consumption second same variation and the air conditioner fuel consumption third same variation acquire the moment +>Is the same as the variable coefficient of the air conditioner oil consumptionThe calculation formula is as follows:
in the method, in the process of the invention,for time->The air conditioner oil consumption co-variation coefficient; />For time->The air conditioner oil consumption of the air conditioner is firstly and simultaneously deteriorated,for time->Air conditioner fuel consumption of (2) is the second same difference, +.>For time->And the third variation of the fuel consumption of the air conditioner.
The first same variation of air conditioner oil consumption reflects the same degree of variation between the air conditioner temperature difference coefficient and the instantaneous oil consumption, the second same variation of air conditioner oil consumption reflects the same degree of variation between the air conditioner temperature difference coefficient and the average oil consumption, and the third same variation of air conditioner oil consumption reflects the same length of variation between the air conditioner temperature difference coefficient and the pressure in the fuel system; when the variation degree between the air conditioner temperature difference coefficient and the instantaneous oil consumption is more approximate, namely, the variation according with the actual situation is the more approximate to 0 the value of the first same variation of the oil consumption of the air conditioner; similarly, when the value of the second same variation of the air conditioner oil consumption and the third same variation of the air conditioner oil consumption is close to 0, the same variation coefficient of the air conditioner oil consumptionThe closer to 0, the greater the correlation between the air conditioner temperature difference and the change of various oil consumption indexes is indicated.
Acquiring time according to the air conditioner oil consumption co-variation coefficientIs equal to the air conditioner fuel consumption index->The formula is:
in the method, in the process of the invention,for time->The air conditioner oil consumption same change index; />Is natural constant (18)>For time->The fuel consumption co-variation coefficient of the air conditioner.
Through the analysis, if the correlation between the oil consumption in the motor home and the energy consumption degree of the air conditioner is larger, and the actual situation is met, the value of the obtained air conditioner oil consumption co-variation coefficient is 0, and the value of the air conditioner oil consumption co-variation index at the moment is 1; if the oil consumption in the motor home and the energy consumption degree of the air conditioner do not accord with the actual situation, the value of the obtained air conditioner oil consumption co-variation coefficient deviates from 0, and the value of the air conditioner oil consumption co-variation index is smaller than 1.
According to the method, the air conditioner oil consumption co-variation index at each moment is obtained.
And S3, acquiring the weight of the probability density at each moment according to the air conditioner fuel consumption co-variation index, further acquiring the HBOS score, and acquiring abnormal fuel consumption data according to the HBOS score to complete real-time monitoring of the fuel consumption of the motor home.
When abnormal detection is performed on oil consumption monitoring data at all times by using HBOS abnormal data detection, abnormal scores at the times need to be obtained through probability density of the oil consumption monitoring data at each time, wherein the probability density reflects distribution characteristics of the oil consumption monitoring data, and the larger the probability density of the oil consumption monitoring data corresponding to a certain time is, the more concentrated the oil consumption monitoring data distribution around the oil consumption monitoring data at the moment is, the more likely the oil consumption monitoring data is to be normal data, and the smaller the abnormal scores are.
Firstly, obtaining the probability density of three-dimensional data of each moment by using a dynamic width histogram for the instantaneous fuel consumption, the average fuel consumption and the pressure of a fuel system obtained at all moments, and setting the bin number of the dynamic width histogram as，/>Is 10. Firstly, sorting the instantaneous fuel consumption at all moments from small to large, obtaining an instantaneous fuel consumption data sequence, and obtaining a dynamic width histogram of the instantaneous fuel consumption data sequence, wherein each interval in the dynamic width histogram is provided with +.>Data of->I.e. the area of each zone. The probability density of each bin is calculated according to the dynamic histogram, wherein the method for obtaining the probability density by the dynamic histogram is a known technique and will not be described in detail herein. Time +.>The probability density of the instantaneous fuel consumption of (2) is recorded as the moment +.>Probability density of the interval in which the instantaneous fuel consumption is located.
Acquiring probability densities of three-dimensional data at each moment according to the method, and determining the momentThe product of the probability densities of the three-dimensional data of (a) is denoted as time +.>Is a probability density of (c).
And taking the air-conditioning oil consumption co-variation index at the moment as the weight of the probability density of the moment, and if the air-conditioning system at a certain moment is not opened, marking the air-conditioning oil consumption co-variation index corresponding to the moment as 1. When the weight of the probability density at the moment is larger, the oil consumption change accords with the actual situation, the acquired updated probability density is larger, and the corresponding HBOS score is smaller, namely the abnormal score is smaller.
Acquiring HBOS scores of sample points to be monitored according to the updated probability density of the sample points to be monitored, and setting a threshold valueThe empirical value was taken to be 0.9. HBOS score greater than threshold +.>The sample points to be monitored are used as abnormal oil consumption data.
Thus, the real-time monitoring of the fuel consumption of the motor home is completed.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (3)
1. The method for monitoring the oil consumption of the high-end intelligent motor home in real time is characterized by comprising the following steps of:
collecting the environmental temperature of each moment outside the high-end intelligent motor home; acquiring air conditioning system set temperature and oil consumption monitoring data of the high-end intelligent caravan at each moment, wherein the oil consumption monitoring data comprise instantaneous oil consumption, average oil consumption and pressure of a fuel system;
acquiring an air-conditioning temperature difference coefficient according to the set temperature and the ambient temperature of an air-conditioning system; acquiring first same variation of air conditioner oil consumption according to the instantaneous oil consumption at different moments and the air conditioner temperature difference coefficient; acquiring a second same variation of air conditioner oil consumption according to the average oil consumption at different moments and the air conditioner temperature difference coefficient; acquiring a third same variation of air conditioner oil consumption according to the pressure of the fuel system at different moments and the air conditioner temperature difference coefficient; acquiring an air conditioner oil consumption co-variation coefficient according to the air conditioner oil consumption first co-variation, the air conditioner oil consumption second co-variation and the air conditioner oil consumption third co-variation; acquiring an air conditioner oil consumption co-variation index according to the air conditioner oil consumption co-variation coefficient;
acquiring a first probability density at each moment according to the instant oil consumption; acquiring a second probability density at each moment according to the average oil consumption; acquiring a third probability density at each moment according to the pressure of the fuel system; acquiring probability density of each moment according to the first probability density, the second probability density and the third probability density, and further acquiring updated probability density of the moment by combining the air conditioner oil consumption same-variation index; acquiring an anomaly score of each moment according to the updated probability density of all the moments; acquiring abnormal oil consumption data according to the abnormal scores;
the specific method for acquiring the average oil consumption comprises the following steps:
each moment is respectively marked as a moment to be analyzed;
the starting time of the high-end intelligent motor home is recorded as the initial time;
the average value of the instantaneous oil consumption at all the moments from the initial moment to the moment to be analyzed is recorded as the average oil consumption at the moment to be analyzed;
the method for acquiring the air-conditioning temperature difference coefficient according to the set temperature and the ambient temperature of the air-conditioning system comprises the following specific steps:
the absolute value of the difference between the set temperature of the air conditioning system at the moment to be analyzed and the ambient temperature at the moment to be analyzed is recorded as the ambient temperature difference at the moment to be analyzed;
the absolute value of the difference value between the set temperature of the air conditioning system at the moment to be analyzed and the preset comfort temperature is recorded as the air conditioning temperature difference at the moment to be analyzed;
the product of the environmental temperature difference and the air-conditioning temperature difference at the moment to be analyzed is recorded as an air-conditioning temperature difference coefficient at the moment to be analyzed;
the method for acquiring the first same variation of the air conditioner oil consumption according to the instantaneous oil consumption at different moments and the air conditioner temperature difference coefficient comprises the following specific steps:
each time except the time to be analyzed is respectively marked as a change time;
the ratio between the instant oil consumption at the moment to be analyzed and the instant oil consumption at the moment to be changed is recorded as the instant oil consumption difference between the moment to be analyzed and the moment to be changed;
the ratio of the air-conditioning temperature difference coefficient at the moment to be analyzed to the air-conditioning temperature difference coefficient at the moment to be changed is recorded as the air-conditioning temperature difference coefficient ratio between the moment to be analyzed and the moment to be changed;
the difference value between the air-conditioning temperature difference coefficient ratio between the moment to be analyzed and the change moment and the instantaneous oil consumption difference is recorded as the oil consumption change difference between the moment to be analyzed and the change moment;
the average value of the oil consumption change differences between the moment to be analyzed and all the change moments is recorded as the first common variation of the oil consumption of the air conditioner at the moment to be analyzed;
the method for obtaining the air conditioner oil consumption co-variation coefficient according to the air conditioner oil consumption first co-variation, the air conditioner oil consumption second co-variation and the air conditioner oil consumption third co-variation comprises the following specific steps:
the average value of the first same variation of the air conditioner oil consumption, the second same variation of the air conditioner oil consumption and the third same variation of the air conditioner oil consumption at the moment to be analyzed is recorded as an air conditioner oil consumption same variation coefficient at the moment to be analyzed;
the method for obtaining the air conditioner oil consumption co-variation index according to the air conditioner oil consumption co-variation coefficient comprises the following specific steps:
taking a natural constant as a base number, and taking the inverse number of the air conditioner oil consumption co-variation coefficient at the moment to be analyzed as the power of an index to be analyzed as the air conditioner oil consumption co-variation index at the moment to be analyzed;
the method for acquiring the first probability density at each moment according to the instant oil consumption comprises the following specific steps:
arranging the instantaneous oil consumption at all moments in sequence from small to large to obtain an instantaneous oil consumption data sequence;
dividing the instantaneous fuel consumption data sequence into a preset number of intervals on average, drawing a dynamic width histogram, and obtaining probability density of each interval;
the probability density of the interval where the instant oil consumption at the moment to be analyzed is located is recorded as the first probability density at the moment to be analyzed;
the probability density of each moment is obtained according to the first probability density, the second probability density and the third probability density, and then the updated probability density of the moment is obtained by combining the air conditioner oil consumption same-change index, and the specific method comprises the following steps:
the product of the first probability density, the second probability density and the third probability density at the moment to be analyzed is recorded as the probability density at the moment to be analyzed;
and (3) recording the product of the air conditioner oil consumption co-variation index and the probability density at the moment to be analyzed as the updated probability density at the moment to be analyzed.
2. The method for monitoring the fuel consumption of the high-end intelligent motor home in real time according to claim 1, wherein the method for acquiring the abnormal score of each moment according to the updated probability density of all moments comprises the following specific steps:
and obtaining the anomaly scores of all the moments by using an anomaly data detection method for the updated probability densities of all the moments.
3. The method for monitoring the fuel consumption of the high-end intelligent motor home in real time according to claim 1, wherein the obtaining abnormal fuel consumption data according to the abnormal score comprises the following specific steps:
recording the time when the abnormal score is larger than a preset threshold as abnormal time;
and recording the oil consumption monitoring data at the abnormal moment as abnormal oil consumption data.
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Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1090036A (en) * | 1996-09-17 | 1998-04-10 | Harness Sogo Gijutsu Kenkyusho:Kk | Fuel consumption calculation system for vehicle |
| JP2008120320A (en) * | 2006-11-15 | 2008-05-29 | Yamaha Corp | Fuel consumption notifying device |
| JP2008128715A (en) * | 2006-11-17 | 2008-06-05 | Honda Motor Co Ltd | Fuel consumption display system for vehicle |
| JP2009046115A (en) * | 2007-07-20 | 2009-03-05 | Denso It Laboratory Inc | Vehicular air conditioner and control method for vehicular air conditioner |
| CN102681514A (en) * | 2012-05-18 | 2012-09-19 | 三一重工股份有限公司 | Fuel oil monitoring system and method and engineering vehicle |
| CN103968909A (en) * | 2013-11-22 | 2014-08-06 | 蔡爵威 | Vehicular oil consumption calculation method and vehicular oil consumption calculation device |
| JP2016023818A (en) * | 2014-07-16 | 2016-02-08 | 日本電信電話株式会社 | Method for detecting operation of air conditioner and system for detecting operation of air conditioner |
| CN107038144A (en) * | 2017-05-27 | 2017-08-11 | 江苏理工学院 | A kind of gasoline car real-time fuel consumption computational methods based on OBD car status informations |
| WO2018069989A1 (en) * | 2016-10-12 | 2018-04-19 | 日本郵船株式会社 | Data processing device, program, and recording medium for estimating time or fuel consumption amount required for sailing ship |
| CN113624291A (en) * | 2021-07-27 | 2021-11-09 | 三一专用汽车有限责任公司 | Oil consumption monitoring method, oil consumption monitoring device and engineering vehicle |
| CN114074511A (en) * | 2020-08-13 | 2022-02-22 | 济南瑞青科技有限公司 | Automobile air conditioning system and automatic control method of automobile air conditioner |
| CN114235073A (en) * | 2021-12-17 | 2022-03-25 | 中国船舶重工集团公司第七一一研究所 | Testing device and measuring method for sliding oil consumption |
| CN115183828A (en) * | 2022-07-15 | 2022-10-14 | 华能伊敏煤电有限责任公司 | Mining dump truck oil consumption monitoring method based on electric power analysis |
| CN115266135A (en) * | 2022-07-26 | 2022-11-01 | 安徽江淮汽车集团股份有限公司 | Oil consumption quantitative analysis method based on user working condition test data |
| CN115758227A (en) * | 2021-09-03 | 2023-03-07 | 宇通客车股份有限公司 | High-energy-consumption vehicle identification and reason diagnosis method |
| CN115950509A (en) * | 2023-02-10 | 2023-04-11 | 上海船舶运输科学研究所有限公司 | Method and device for checking oil consumption of ship main engine |
| CN116101022A (en) * | 2023-03-01 | 2023-05-12 | 珠海格力电器股份有限公司 | Vehicle air conditioner control system and starting method of vehicle air conditioner system |
| CN116304956A (en) * | 2023-05-15 | 2023-06-23 | 济宁市质量计量检验检测研究院(济宁半导体及显示产品质量监督检验中心、济宁市纤维质量监测中心) | Chip temperature anomaly online detection method |
| CN116353478A (en) * | 2023-05-10 | 2023-06-30 | 云车智途(重庆)科技有限公司 | Car as a house safety precaution method, system and equipment |
| CN116485266A (en) * | 2023-04-26 | 2023-07-25 | 车泊喜智能科技(山东)有限公司 | Internet of things-based intelligent management method and system for oiling oil |
| CN116542389A (en) * | 2023-05-18 | 2023-08-04 | 济南工程职业技术学院 | Truck fuel consumption prediction method, system, equipment and storage medium |
| CN116639110A (en) * | 2023-06-29 | 2023-08-25 | 浙江吉利控股集团有限公司 | Energy management method, device, equipment and storage medium for hybrid electric vehicle |
| CN116698146A (en) * | 2023-05-08 | 2023-09-05 | 上海华兴数字科技有限公司 | Oil consumption detection method, residual working time detection method, device and working machine |
| CN116794385A (en) * | 2023-08-21 | 2023-09-22 | 山东德源电力科技股份有限公司 | High-voltage current monitoring method based on multidimensional data analysis |
-
2023
- 2023-11-03 CN CN202311450639.5A patent/CN117168558B/en active Active
Patent Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1090036A (en) * | 1996-09-17 | 1998-04-10 | Harness Sogo Gijutsu Kenkyusho:Kk | Fuel consumption calculation system for vehicle |
| JP2008120320A (en) * | 2006-11-15 | 2008-05-29 | Yamaha Corp | Fuel consumption notifying device |
| JP2008128715A (en) * | 2006-11-17 | 2008-06-05 | Honda Motor Co Ltd | Fuel consumption display system for vehicle |
| JP2009046115A (en) * | 2007-07-20 | 2009-03-05 | Denso It Laboratory Inc | Vehicular air conditioner and control method for vehicular air conditioner |
| CN102681514A (en) * | 2012-05-18 | 2012-09-19 | 三一重工股份有限公司 | Fuel oil monitoring system and method and engineering vehicle |
| CN103968909A (en) * | 2013-11-22 | 2014-08-06 | 蔡爵威 | Vehicular oil consumption calculation method and vehicular oil consumption calculation device |
| JP2016023818A (en) * | 2014-07-16 | 2016-02-08 | 日本電信電話株式会社 | Method for detecting operation of air conditioner and system for detecting operation of air conditioner |
| WO2018069989A1 (en) * | 2016-10-12 | 2018-04-19 | 日本郵船株式会社 | Data processing device, program, and recording medium for estimating time or fuel consumption amount required for sailing ship |
| CN107038144A (en) * | 2017-05-27 | 2017-08-11 | 江苏理工学院 | A kind of gasoline car real-time fuel consumption computational methods based on OBD car status informations |
| CN114074511A (en) * | 2020-08-13 | 2022-02-22 | 济南瑞青科技有限公司 | Automobile air conditioning system and automatic control method of automobile air conditioner |
| CN113624291A (en) * | 2021-07-27 | 2021-11-09 | 三一专用汽车有限责任公司 | Oil consumption monitoring method, oil consumption monitoring device and engineering vehicle |
| CN115758227A (en) * | 2021-09-03 | 2023-03-07 | 宇通客车股份有限公司 | High-energy-consumption vehicle identification and reason diagnosis method |
| CN114235073A (en) * | 2021-12-17 | 2022-03-25 | 中国船舶重工集团公司第七一一研究所 | Testing device and measuring method for sliding oil consumption |
| CN115183828A (en) * | 2022-07-15 | 2022-10-14 | 华能伊敏煤电有限责任公司 | Mining dump truck oil consumption monitoring method based on electric power analysis |
| CN115266135A (en) * | 2022-07-26 | 2022-11-01 | 安徽江淮汽车集团股份有限公司 | Oil consumption quantitative analysis method based on user working condition test data |
| CN115950509A (en) * | 2023-02-10 | 2023-04-11 | 上海船舶运输科学研究所有限公司 | Method and device for checking oil consumption of ship main engine |
| CN116101022A (en) * | 2023-03-01 | 2023-05-12 | 珠海格力电器股份有限公司 | Vehicle air conditioner control system and starting method of vehicle air conditioner system |
| CN116485266A (en) * | 2023-04-26 | 2023-07-25 | 车泊喜智能科技(山东)有限公司 | Internet of things-based intelligent management method and system for oiling oil |
| CN116698146A (en) * | 2023-05-08 | 2023-09-05 | 上海华兴数字科技有限公司 | Oil consumption detection method, residual working time detection method, device and working machine |
| CN116353478A (en) * | 2023-05-10 | 2023-06-30 | 云车智途(重庆)科技有限公司 | Car as a house safety precaution method, system and equipment |
| CN116304956A (en) * | 2023-05-15 | 2023-06-23 | 济宁市质量计量检验检测研究院(济宁半导体及显示产品质量监督检验中心、济宁市纤维质量监测中心) | Chip temperature anomaly online detection method |
| CN116542389A (en) * | 2023-05-18 | 2023-08-04 | 济南工程职业技术学院 | Truck fuel consumption prediction method, system, equipment and storage medium |
| CN116639110A (en) * | 2023-06-29 | 2023-08-25 | 浙江吉利控股集团有限公司 | Energy management method, device, equipment and storage medium for hybrid electric vehicle |
| CN116794385A (en) * | 2023-08-21 | 2023-09-22 | 山东德源电力科技股份有限公司 | High-voltage current monitoring method based on multidimensional data analysis |
Non-Patent Citations (3)
| Title |
|---|
| 基于OBD系统的汽油车油耗实时在线监测方法;杨殿阁;李满;班学钢;;汽车安全与节能学报(第01期);全文 * |
| 基于车联网的油耗检测及其时空分布研究;汪成亮;陈俊宏;张晨;;计算机工程(第09期);全文 * |
| 汽车开空调测评的状况模拟综述;冯于久;赵伟;钱国刚;;制冷与空调(第05期);全文 * |
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