Air conditioner fault early warning method, device and system and electronic equipment

Abstract

The invention provides an air conditioner fault early warning method, device and system and electronic equipment, and relates to the technical field of automobile air conditioner maintenance, the cooling rate of the day calculated based on temperature parameters can directly represent the refrigeration efficiency of an air conditioner, and the difference interference between the environment and the automobile type can be eliminated by combining the preset screening comparison group rate of the same automobile type, the same power type and the same environment; the problem of false alarm / missing alarm of a fixed threshold is avoided; and tracking a performance change trend through a cooling rate statistical result of a historical monitoring period, and finally, depending on dual early warning trigger verification of a longitudinal historical trend and a transverse group reference, not only can capture recessive progressive faults such as slow refrigerant leakage and heat exchanger dirt in advance, but also can accurately distinguish environment interference from real faults, thereby realizing high-precision early warning. According to the method, the timeliness, the accuracy and the credibility of fault early warning are remarkably improved, the sudden shutdown risk and the operation and maintenance cost are effectively reduced, and the method is suitable for various fuel oil and electric vehicles and particularly meets the lightweight prediction and maintenance requirements of economical vehicles.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile air conditioner maintenance, and in particular to an air conditioner fault early warning method, device, system and electronic equipment. BACKGROUND

[0002] In the field of automobiles, the air conditioning system is a key component for ensuring driving comfort and driving safety. When the high temperature of summer comes, the automobile air conditioner cannot normally cool, and the temperature in the car rises sharply, which easily makes the driver and passenger feel irritable and tired, and the driver's attention is difficult to concentrate, greatly increasing the potential risk of traffic accidents. According to relevant industry statistics, about 35% of automobile air conditioner failures will cause the cooling to suddenly stop during driving, especially in high temperature environments, which undoubtedly poses a huge hidden danger to driving safety. Moreover, the traditional automobile air conditioner maintenance mode mainly relies on repair after failure (RTF) and regular maintenance (TBM). Repair after failure often intervenes when the air conditioner has already seriously affected the use, at which time not only is the maintenance cost high, but also the sudden failure will disrupt the travel arrangement; while regular maintenance has a certain degree of prevention, but lacks precision, and it is difficult to effectively detect progressive failures such as slow leakage of refrigerant and accumulation of dirt on the heat exchanger, and according to estimates, the conventional detection missed detection rate of such hidden failures is over 40%.

[0003] Obviously, the current industry urgently needs an advanced technology that can accurately warn of air conditioning performance degradation at an early stage, thereby avoiding fault escalation, optimizing maintenance costs, and improving the reliability and stability of the automotive air conditioning system. Most existing solutions rely on pressure sensor threshold triggering alarms, such as issuing an alarm when the pressure is below 2.1Bar. However, during the refrigerant micro-leakage stage, the pressure change is extremely slow, possibly only 0.05Bar / day. Such subtle changes are difficult for existing technologies to accurately identify, resulting in an average delay of 7-15 days for early warning. During this period, the air conditioning refrigeration performance gradually decreases, but it is difficult to detect in a timely manner. In terms of fault diagnosis methods, some solutions use vibration, current, pressure, and other multi-parameter joint diagnosis. The original intention is to improve diagnostic accuracy through multi-dimensional data. However, the actual vehicle operating conditions are complex and variable, and under different conditions such as idle and high-speed driving, these parameters fluctuate significantly, making it easy to produce data conflicts, resulting in a false positive rate as high as 25%, which significantly reduces the credibility of the warning information. Furthermore, machine learning-based fault prediction solutions rely heavily on historical fault samples for model training. Once faced with new vehicle models or rare fault types, such as electronic expansion valve stasis, due to the lack of sufficient sample data support, the accuracy of the model is less than 60%, making it difficult to meet the actual application requirements. In addition, existing technologies generally ignore the impact of horizontal environmental factors on air conditioning refrigeration performance. The temperature and humidity in different regions differ greatly, and the vehicle's heat dissipation structure also varies by vehicle model. These factors can significantly affect the operating state of the air conditioning system. The single threshold warning mechanism fails to fully consider these differences, resulting in poor adaptability in different environments, and failing to accurately reflect the true performance state of the air conditioning system, further exacerbating the difficulty and uncertainty of fault warning. SUMMARY

[0004] The purpose of the present application is to provide an air conditioning fault warning method, device, system, and electronic equipment that relies on dual warning trigger verification of longitudinal historical trends + horizontal group benchmarks to accurately capture implicit progressive faults and accurately distinguish between environmental interference and real faults, significantly improving the timeliness, accuracy, and credibility of fault warning.

[0005] In a first aspect, an embodiment of the present application provides a fault early warning method for an air conditioner, the method comprising: obtaining a current temperature monitoring parameter of a target vehicle; the temperature monitoring parameter comprising an indoor temperature of the target vehicle in a working process of an air conditioner of the target vehicle, and an outdoor temperature of an environment in which the target vehicle is located; determining a daily cooling rate of the target vehicle according to the temperature monitoring parameter; and obtaining a cooling rate of a preset screening comparison group of the target vehicle according to the temperature monitoring parameter; wherein the cooling rate is used to represent a degree of cooling speed of the air conditioner; and the screening comparison group is used to represent a vehicle group consistent with a vehicle model parameter, a power type parameter, and / or an environment parameter of the target vehicle; determining a cooling rate statistical result of the air conditioner in a historical monitoring period according to the daily cooling rate; and determining a fault early warning triggering mode of the temperature monitoring parameter based on a corresponding early warning triggering condition of the cooling rate statistical result and the cooling rate of the screening comparison group.

[0006] In combination with the first aspect, an embodiment of the present application further provides a first implementation manner of the first aspect, wherein the step of determining the daily cooling rate of the target vehicle according to the temperature monitoring parameter comprises: determining the indoor temperature of the target vehicle when the air conditioner of the target vehicle meets a refrigeration load according to the outdoor temperature; taking the indoor temperature as a monitoring starting temperature; obtaining a required temperature of the target vehicle, and determining a temperature difference from the monitoring starting temperature to the required temperature; monitoring a temperature adjustment time length of the air conditioner of the target vehicle for the temperature difference; and determining the daily cooling rate of the air conditioner of the target vehicle based on the temperature adjustment time length.

[0007] In combination with the first aspect, an embodiment of the present application further provides a second implementation manner of the first aspect, wherein the step of obtaining the cooling rate of the preset screening comparison group of the target vehicle according to the temperature monitoring parameter comprises: determining a target city meeting a preset environment temperature interval according to the outdoor temperature; determining a plurality of screening comparison vehicles meeting a preset indoor temperature interval from driving vehicles in the target city according to the indoor temperature; and determining the cooling rate of the screening comparison group based on a statistical result of the daily cooling rate of each screening comparison vehicle.

[0008] In combination with the first aspect, an embodiment of the present application further provides a third implementation manner of the first aspect, wherein the step of determining the cooling rate of the screening comparison group based on the statistical result of the daily cooling rate of each screening comparison vehicle comprises: determining a cooling rate statistical result under an environment temperature interval according to the daily cooling rate of each screening comparison vehicle; determining a reference cooling rate of a vehicle group under the environment temperature interval according to the cooling rate statistical result; and determining the reference cooling rate as the cooling rate of the screening comparison group.

[0009] With reference to the first aspect, the embodiment of the present application further provides a fourth implementation manner of the first aspect, and in the fourth implementation manner, the step of determining the statistical result of the cooling rate of the air conditioning device of the target vehicle in the historical monitoring period according to the daily cooling rate comprises: obtaining the cooling rate of the target vehicle in the historical monitoring period; calculating the change amount of the daily cooling rate and the cooling rate of the previous monitoring period; and determining the statistical result of the cooling rate corresponding to the air conditioning device according to the comparison result of the change amount and the historical change amount corresponding to the cooling rate of the historical monitoring period.

[0010] With reference to the first aspect, the embodiment of the present application further provides a fifth implementation manner of the first aspect, and in the fifth implementation manner, the step of determining the failure warning triggering mode of the temperature monitoring parameter based on the statistical result of the cooling rate and the early warning triggering situation corresponding to the cooling rate of the screening comparison group comprises: if the change amount of the daily cooling rate is lower than the historical change amount, it is determined that the failure warning triggering mode of the temperature monitoring parameter is the performance degradation failure mode; and at the same time, if the daily cooling rate is lower than the cooling rate of the screening comparison group, it is determined that the failure warning triggering mode of the temperature monitoring parameter is the high-confidence failure mode.

[0011] The second aspect provides an air conditioner failure warning device, which comprises: a data acquisition module, configured to acquire a current temperature monitoring parameter of a target vehicle; the temperature monitoring parameter comprises an indoor temperature of an air conditioning device working process of the target vehicle and an outdoor temperature of an environment in which the target vehicle is located; a data processing module, configured to determine a daily cooling rate of the target vehicle according to the temperature monitoring parameter; and acquire a cooling rate of a preset screening comparison group of the target vehicle according to the temperature monitoring parameter; wherein the cooling rate is used to represent the cooling speed of the air conditioning device; the screening comparison group is used to represent a vehicle group that is consistent with the vehicle type parameter, the power type parameter and / or the environment parameter of the target vehicle; a data statistical module, configured to determine a statistical result of the cooling rate of the air conditioning device in a historical monitoring period according to the daily cooling rate; and an execution module, configured to determine a failure warning triggering mode of the temperature monitoring parameter based on the statistical result of the cooling rate and the early warning triggering situation corresponding to the cooling rate of the screening comparison group.

[0012] The third aspect provides an air conditioner failure warning system, which is configured with the device in the above embodiment and is used to execute the method in any of the above embodiments.

[0013] The fourth aspect provides an electronic device, which comprises a processor and a memory, the memory stores machine executable instructions capable of being executed by the processor, and the processor executes the machine executable instructions to implement the air conditioner failure warning method in any of the above embodiments.

[0014] In a fifth aspect, an embodiment of the present application provides a machine readable storage medium storing machine executable instructions, which when invoked and executed by a processor, cause the processor to implement the air conditioner fault early warning method of any of the above embodiments.

[0015] The embodiments of the present application bring the following beneficial effects: The embodiments of the present application provide an air conditioner fault early warning method, device, system and electronic equipment, the daily cooling rate calculated based on the temperature parameter can directly represent the air conditioner refrigeration efficiency, combined with the preset screening comparison group rate of the same vehicle model, the same power type and the same environment, the environmental and vehicle model difference interference can be eliminated, and the fixed threshold false alarm / misreporting problem can be avoided; then the performance change trend is tracked through the cooling rate statistical result of the historical monitoring period, and finally, the double early warning triggering verification of the longitudinal historical trend + horizontal group benchmark can capture the slow refrigerant leakage, heat exchanger dirt and other implicit progressive faults in advance, and can accurately distinguish the environmental interference and the real fault, significantly improve the timeliness, accuracy and reliability of the fault early warning, effectively reduce the sudden shutdown risk and operation and maintenance cost, and adapt to various fuel and electric vehicle models, especially meet the lightweight predictive maintenance needs of economic vehicles.

[0016] Other features and advantages of the present application will be described in the following description, or can be inferred from the description, or can be determined without doubt, or can be known by implementing the above-mentioned technologies of the present application.

[0017] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0019] Figure 1 A flowchart of an air conditioner fault early warning method provided by an embodiment of the present application is provided. Figure 2 A flowchart of another air conditioner fault early warning method provided by an embodiment of the present application is provided. Figure 3 A structural schematic diagram of an air conditioner fault early warning device provided by an embodiment of the present application is provided. Figure 4 A structural schematic diagram of an electronic equipment provided by an embodiment of the present application is provided. DETAILED DESCRIPTION

[0020] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings of the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0022] The embodiments of the present application provide an air conditioner fault early warning method, device, system and electronic equipment, relying on the double early warning trigger verification of longitudinal historical trend + horizontal group benchmark, which can capture implicit progressive failure in advance, and can accurately distinguish environmental interference from real failure, significantly improving the timeliness, accuracy and reliability of fault early warning.

[0023] For ease of understanding, first, an air conditioner fault early warning method provided by the embodiments of the present application is described, referring to Figure 1 The method comprises the following steps: Step S102, acquiring a current temperature monitoring parameter of the target vehicle.

[0024] The existing air conditioner fault early warning technology (such as fixed threshold alarm, multi-sensor threshold judgment) has the defects that environmental interference cannot be eliminated and early performance degradation is not perceived, for example, the cooling rate of all vehicles is generally reduced under 40℃ high temperature, and the fixed threshold will cause a large number of false alarms; and a slight performance degradation at 25℃ may be missed due to the rate being higher than the threshold. The temperature monitoring parameter of the embodiments of the present application includes the indoor temperature of the air conditioning equipment working process of the target vehicle, and the outdoor temperature of the environment where the target vehicle is located, which can be used to eliminate the difference between environment and working condition, and accurately capture the change of refrigeration efficiency.

[0025] Among them, the outdoor temperature directly reflects the external environment (such as high temperature 35℃, normal temperature 25℃) where the target vehicle is located, and the indoor temperature reflects the actual refrigeration load of the air conditioner (such as the starting temperature 30℃ representing effective refrigeration demand, and below 30℃ may have no real load), which can determine the effective refrigeration working condition of the air conditioning equipment through the indoor temperature and the outdoor temperature, and truly reflect the performance of the air conditioner.

[0026] Among them, the existing hardware of the target vehicle can be reused, including the cabin temperature sensor (collecting the temperature inside the vehicle) and the environment temperature detection module (collecting the temperature outside the vehicle), and data monitoring is performed through the vehicle CAN bus and the 4G vehicle networking module to transmit data.

[0027] In step S104, the daily cooling rate of the target vehicle is determined according to the temperature monitoring parameter, and the cooling rate of the preset screening comparison group of the target vehicle is obtained according to the temperature monitoring parameter.

[0028] Among them, the cooling rate is used to represent the degree of cooling speed of the air conditioning equipment, and the quantitative decline of the temperature inside the vehicle with time directly reflects the current refrigeration efficiency of the air conditioner. Based on the temperature inside the vehicle and the temperature outside the vehicle in the temperature monitoring parameter, the effective refrigeration working condition can be limited, such as only keeping the data of the initial temperature inside the vehicle ≥ 30℃ and the temperature outside the vehicle ≥ 25℃, or determining the temperature inside the vehicle that meets the refrigeration load according to the temperature outside the vehicle, so as to eliminate invalid scenes such as low temperature and low load (such as winter air conditioner low frequency operation) and no actual refrigeration demand (such as the temperature inside the vehicle is close to the set value). The daily cooling rate = (initial temperature-target temperature) / cooling time, wherein the "cooling time" is the continuous time length (calculated by the time stamp and temperature change sequence of the temperature monitoring parameter) from the initial temperature to the target temperature of the temperature inside the vehicle. The final result is converted to "℃ / h" uniformly.

[0029] In addition to determining the daily cooling rate of the target vehicle, the embodiment of the present application also determines the cooling rate of the corresponding screening comparison group. The screening comparison group is used to represent the vehicle group consistent with the vehicle type parameter, power type parameter and / or environment parameter of the target vehicle, and is used to construct a reference group with the same environment and the same vehicle type based on the temperature outside the vehicle in the temperature monitoring parameter and the associated vehicle information, so as to eliminate the rate fluctuation caused by environmental factors such as weather and region of a single vehicle.

[0030] In step S106, the cooling rate statistical result of the air conditioning equipment in the historical monitoring period is determined according to the daily cooling rate.

[0031] By tracing the historical cooling rate data of the target vehicle, a continuous data sequence is formed by combining the daily cooling rate, and the long-term change trend of the refrigeration performance of the air conditioning equipment is quantitatively analyzed to capture the defects of implicit and gradual performance degradation (such as slow leakage of refrigerant and dirt accumulation of heat exchanger).

[0032] In step S108, the fault early warning trigger mode of the temperature monitoring parameter is determined based on the cooling rate statistical result and the corresponding early warning trigger condition of the cooling rate of the screening comparison group.

[0033] The early warning triggering condition corresponding to the cooling rate statistical result can represent the historical trend of the single vehicle performance degradation, and the early warning triggering condition corresponding to the cooling rate of the screening comparison group can represent the abnormality of the single vehicle performance in the group. Based on this, the double verification of the longitudinal historical trend and the horizontal group benchmark can be realized, which can not only avoid false alarms caused by single abnormalities, but also can clearly specify the specific fault type (such as high-credibility early warning corresponding to refrigerant leakage, heat exchanger fouling and the like gradual faults).

[0034] The daily cooling rate calculated based on the temperature parameter of the embodiment of the present application can directly represent the air conditioning refrigeration efficiency. The preset screening comparison group rate of the same vehicle type, the same power type and the same environment can eliminate the interference of the environment and the vehicle type difference and avoid the false alarm / miss alarm problem of the fixed threshold. Then, the performance change trend is tracked through the cooling rate statistical result of the historical monitoring period, and finally, the double early warning triggering verification of the longitudinal historical trend + horizontal group benchmark can not only capture the implicit gradual faults such as refrigerant slow leakage and heat exchanger fouling in advance, but also accurately distinguish the environmental interference and the real fault, significantly improve the timeliness, accuracy and credibility of the fault early warning, effectively reduce the sudden shutdown risk and operation and maintenance cost, and adapt to various fuel and electric vehicle types, especially meet the lightweight predictive maintenance needs of economic vehicles.

[0035] Further, on the basis of the above-mentioned embodiment, the embodiment of the present application further provides an air conditioning fault early warning method, which is used for further description of the above-mentioned embodiment. Referring to Figure 2 The method comprises the following steps: Step S202, acquiring the current temperature monitoring parameter of the target vehicle.

[0036] Step S204, determining the daily cooling rate of the target vehicle according to the temperature monitoring parameter.

[0037] In combination with the above-mentioned embodiment, the indoor temperature of the target vehicle when the air conditioning equipment meets the refrigeration load is determined according to the outdoor temperature. The indoor temperature is taken as the monitoring starting temperature. The outdoor temperature directly determines the environmental heat load, and when the outdoor temperature is too low, the indoor temperature does not need high-intensity refrigeration. For example, when the outdoor temperature is greater than or equal to 25℃, it is determined that there is effective heat load in the environment; at this time, the corresponding indoor temperature is greater than or equal to 30℃, which can be taken as the monitoring starting temperature. Further, if the outdoor temperature is less than 25℃ (such as in spring and autumn), or the outdoor temperature is greater than or equal to 25℃ but the indoor temperature is less than 30℃ (such as the vehicle just enters the shady place), it is determined that the refrigeration load is insufficient, and the indoor temperature can not be collected as the starting value.

[0038] Further, the required temperature of the target vehicle is obtained, and a temperature difference from a monitoring starting temperature to the required temperature is determined. To avoid temperature fluctuations caused by starting and stopping of the air conditioner compressor (temperature data is unstable during starting and stopping, and cannot reflect the steady-state refrigeration efficiency), the required temperature can be set as the air conditioner set temperature + 2℃. For example, if the air conditioner set temperature of the target vehicle is 24℃, the required temperature can be 26℃. If the starting temperature is 30℃, the corresponding temperature difference is 4℃. Further, the temperature adjustment time of the air conditioner equipment of the target vehicle for the temperature difference is monitored; based on the temperature adjustment time, the daily cooling rate of the air conditioner equipment of the target vehicle is determined. The temperature adjustment time refers to the continuous effective time of the air conditioner equipment from the monitoring starting temperature to the required temperature, such as the effective time under uninterrupted operation. The corresponding cooling rate is determined by the ratio of the temperature difference to the temperature adjustment time, which represents the steady-state refrigeration capacity of the air conditioner equipment under the current real load.

[0039] In step S206, a target city satisfying a preset environmental temperature interval is determined according to an outdoor temperature, and a plurality of screening comparison vehicles satisfying a preset vehicle temperature interval are determined from the running vehicles in the target city according to an indoor temperature.

[0040] Among them, the real-time outdoor temperature of the target vehicle (such as 35℃) can be obtained to determine the preset environmental temperature interval (corresponding to 35-40℃) to which it belongs. The positioning information (such as GPS data) of the target vehicle is used to determine the city (such as Zhengzhou) where it is located, and it is verified whether the overall environmental temperature of the city on the day falls within the 35-40℃ interval (the city-level daily / real-time temperature data can be obtained from the cloud database). If the temperature of the city where the target vehicle is located on the day meets the preset interval, the city is directly determined as the target city; if it does not meet the preset interval (for example, the target vehicle temporarily enters a high-temperature area, and the overall temperature of the city is 30-35℃), the cities in the same climate zone whose environmental temperature on the day falls within the 35-40℃ interval (such as Shijiazhuang and Jinan in the same climate zone as Zhengzhou in the North China high-temperature zone in summer) are expanded as target cities to ensure the consistency of the group environment.

[0041] Further, the real-time indoor temperature data of all running vehicles is obtained, and the vehicles whose indoor temperature falls within the preset indoor temperature interval to which the target vehicle belongs (for example, the indoor temperature of the target vehicle is 32℃, and the interval is 30-35℃, so the running vehicles in the target city whose indoor temperature is within the 30-35℃ interval are screened out). Further, the screening condition of the same vehicle type and power type is additionally superimposed, that is, only the vehicles matching the vehicle type (such as passenger cars, passenger vehicles, and commercial vehicles) and the power type (such as pure electric type, fuel power type, and hybrid power type) of the target vehicle are retained, and finally a plurality of screening comparison vehicle sets are formed.

[0042] In step S208, the cooling rate of the screening comparison group is determined based on the statistical results of the daily cooling rate of each screening comparison vehicle.

[0043] In a specific implementation, the cooling rate of the vehicle on the day can be compared according to the cooling rate in the environmental temperature interval to determine the cooling rate statistical result in the environmental temperature interval. The reference cooling rate of the vehicle group in the environmental temperature interval is determined according to the cooling rate statistical result; and the reference cooling rate is determined as the cooling rate of the comparison group.

[0044] The cooling rate statistical result (rate set) in the environmental temperature interval can be sorted in ascending order, and the extreme value obviously deviating from the normal range is removed. Further, the 20th quantile value of the sorted rate set is calculated and determined as the reference cooling rate of the vehicle group in the environmental temperature interval. The quantile value is used to represent the lower limit of the normal performance in the group. For example, only 20% of the normal vehicles may be lower than the value due to slight individual differences (such as slightly longer vehicle service life), which covers the performance level of most normal vehicles and effectively distinguishes between the low speed of the group caused by the environment and the abnormal low speed caused by individual failure, avoiding the defects that the fixed threshold or average value is easily disturbed by extreme data. Further, the reference cooling rate is directly defined as the cooling rate of the comparison group, which matches the group attribute of the comparison group.

[0045] In step S210, the cooling rate statistical result of the air conditioning equipment in the historical monitoring period is determined according to the cooling rate on the day.

[0046] The embodiment of the present application analyzes the failure trend by obtaining the cooling rate in the historical monitoring period. The historical monitoring period can be selected for 30 days or 30 times of effective refrigeration working conditions (according to the condition reached first). Further, the cooling rate data in the historical monitoring period can be sorted from far to near according to time, and the change amount of the cooling rate on the day and the cooling rate of the previous monitoring period is further calculated to determine the change of the cooling rate. The previous monitoring period can represent the day before or the last effective working condition before the day, according to the corresponding period unit. The change amount is used to represent the rate difference of the two values. If the change amount is negative, it indicates that the cooling rate decreases and the air conditioning performance shows a decline trend; if the change amount is close to 0 or positive, it indicates that the performance is stable or recovered due to maintenance.

[0047] Further, according to the comparison result of the change amount and the historical change amount corresponding to the cooling rate of the historical monitoring period, the statistical result of the cooling rate corresponding to the air conditioning equipment is determined. The cooling rate of the historical monitoring period can form a continuous rate sequence, and the corresponding historical change amount can be obtained by calculating the cooling rate of each two adjacent monitoring periods to form a historical change amount sequence. For example, [-0.2℃ / h, -0.6℃ / h, -0.8℃ / h,..., -1℃ / h. It can be judged whether the daily change amount is consistent with the overall trend of the historical change amount sequence, and the corresponding recession trend or performance result is determined. For example, if the historical change amount is negative, the daily change amount is also negative, indicating that the recession trend continues. The average value of the historical change amount (such as the average change amount of the last 30 days -0.5℃ / h) can also be calculated, and if the daily change amount is less than the historical average change amount (such as -1℃ / h on the day < -0.5℃ / h), it indicates that the recession amplitude is intensified and the performance deterioration speed is accelerated.

[0048] Further, the rate trend slope can be fitted by the weighted least squares method, and the slope value is output. Based on the slope value and the comparison result of the change amount, the recession grade can be determined (such as slope < -0.05 and daily change amount < historical average change amount, determined as “significant recession”; slope between -0.05 and 0, determined as “slight recession”).

[0049] In step S212, based on the statistical result of the cooling rate and the pre-warning triggering condition corresponding to the cooling rate of the screened comparison group, the failure pre-warning triggering mode of the temperature monitoring parameter is determined.

[0050] In combination with the above embodiments, if the statistical result of the cooling rate indicates that the change amount of the daily cooling rate is lower than the historical change amount, the failure pre-warning triggering mode of the temperature monitoring parameter is determined as the performance recession failure mode. For example, when the change amount of the daily cooling rate is < the historical change amount (such as -2℃ / h < -0.5℃ / h), it is determined as a longitudinal pre-warning triggering, indicating that the air conditioning performance recession speed exceeds the historical normal level, showing an accelerated recession trend. The statistical result of the cooling rate triggering the corresponding pre-warning threshold indicates that the air conditioning equipment has a longitudinal trend of performance accelerated recession (such as the change amount is lower than the historical average, and the recession speed is accelerated). But from the horizontal dimension, its performance is still at the normal level of the same environment and the same vehicle group (such as the daily rate 12℃ / h, and the group rate 11℃ / h), and the performance recession is mainly caused by the natural aging of the vehicle or the accumulation of slight environmental fluctuations, and has not reached the individual failure degree without additional abnormal factors outside the environment.

[0051] Meanwhile, if the daily temperature drop rate is lower than the temperature drop rate of the screening comparison group, the failure warning trigger mode of the temperature monitoring parameter is determined as a high-credibility failure mode. For example, when the daily temperature drop rate < the temperature drop rate of the screening comparison group (for example, 9℃ / h < 13.5℃ / h), it is determined that the horizontal warning trigger is triggered, which indicates that the performance of the target vehicle is significantly lower than that of the normal group under the same environment, and the environmental interference is excluded, and it is confirmed that the individual is abnormal. This mode indicates that the air conditioning equipment not only has a longitudinal accelerated decline (for example, the change amount -2℃ / h < the historical average -0.5℃ / h), but also is significantly abnormal in the horizontal group comparison (for example, the daily rate 9℃ / h < the group rate 13.5℃ / h), and the non-failure factors such as environmental interference and natural aging are completely excluded, so the failure credibility is the highest, and the failure corresponds to a slow leakage of refrigerant, dirt blockage of the condenser, and a decrease in compressor efficiency.

[0052] In summary, through the division of the two types of modes, the performance decline caused by natural aging can be avoided to be misjudged as a failure that needs to be handled urgently, and the real failure that has both longitudinal decline and horizontal abnormality can also be avoided to be missed, so that the hierarchical warning is realized.

[0053] Further, on the basis of the above-mentioned embodiments, the embodiment of the present application further provides an air conditioner failure warning device, which comprises: a data acquisition module 100, configured to acquire a current temperature monitoring parameter of a target vehicle; the temperature monitoring parameter comprises an indoor temperature of an air conditioning equipment working process of the target vehicle, and an outdoor temperature of an environment where the target vehicle is located; a data processing module 200, configured to determine a daily temperature drop rate of the target vehicle according to the temperature monitoring parameter; and acquire a temperature drop rate of a preset screening comparison group of the target vehicle according to the temperature monitoring parameter; wherein the temperature drop rate is used to represent the temperature drop speed of the air conditioning equipment; the screening comparison group is used to represent a vehicle group that is consistent with the vehicle type parameter, the power type parameter and / or the environment parameter of the target vehicle; a data statistical module 300, configured to determine a temperature drop rate statistical result of the air conditioning equipment in a historical monitoring period according to the daily temperature drop rate; and an execution module 400, configured to determine a failure warning trigger mode of the temperature monitoring parameter based on a warning trigger condition corresponding to the temperature drop rate statistical result and the temperature drop rate of the screening comparison group, respectively.

[0054] The air conditioner failure warning device provided by the embodiment of the present application has the same implementation principle and technical effects as the above-mentioned method embodiments. For brief description, the part not mentioned in the device embodiment can be referred to the corresponding content in the above-mentioned method embodiments.

[0055] Furthermore, this embodiment of the invention also provides an air conditioning fault early warning system, which is configured with the apparatus of the above embodiments for executing the methods of any of the above embodiments. The air conditioning fault early warning system provided by this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiments. For the sake of brevity, any parts not mentioned in the system embodiment section can be referred to the corresponding content in the aforementioned method embodiments.

[0056] This invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described... Figures 1 to 2 The steps of any of the methods shown. Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the above-described steps. Figures 1 to 2 The steps of any of the methods shown. Embodiments of the present invention also provide a structural schematic diagram of an electronic device, such as... Figure 4 The diagram shows the structure of the electronic device, which includes a processor 41 and a memory 40. The memory 40 stores computer-executable instructions that can be executed by the processor 41. The processor 41 executes the computer-executable instructions to implement the above-mentioned... Figures 1 to 2 Any of the methods shown.

[0057] exist Figure 4In the illustrated embodiment, the electronic device further comprises a bus 42 and a communication interface 43, wherein the processor 41, the communication interface 43 and the memory 40 are connected through the bus 42. The memory 40 can contain a high-speed random access memory (RAM) and can also include a non-volatile memory such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used. The bus 42 can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc., and can also be an AMBA (Advanced Microcontroller Bus Architecture) bus, wherein AMBA defines three types of buses, including an APB (Advanced Peripheral Bus) bus, an AHB (Advanced High-performance Bus) bus, and an AXI (Advanced eXtensible Interface) bus. The bus 42 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4only one bus or one type of bus. The processor 41 can be a chip that, among other things, processes signals. The processor 41 can be a general purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), or the like. In the various embodiments, the processor 41 can be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like. The general purpose processor can be a microprocessor or the processor can be any conventional processor, controller, microcontroller, or the like. The steps of a method disclosed in conjunction with the embodiments of the present application can be implemented directly in hardware, in a code executed by a processor, or in a combination of the two. The code can be stored in a storage medium, which can be any available storage media including a random access memory (RAM), a flash memory, a read only memory (ROM), a programmable read only memory (PROM), an electronically programmable read only memory (EPROM), an electronically erasable programmable read only memory (EEPROM), registers, or the like. The memory can be located in a storage device, the processor 41 reads information from the memory, and combines it with its hardware to perform the methods described above. Figures 1 to 2 any of the methods described.

[0058] The computer program product of the air conditioner fault early warning method, device, system and electronic equipment provided by the embodiment of the application comprises a computer readable storage medium storing program codes, the instructions included in the program codes can be used to execute the method described in the foregoing method embodiment, and specific implementation can be referred to the method embodiment. For the convenience and brevity of description, the specific working process of the system described above can refer to the corresponding process in the foregoing method embodiment, and will not be described here. In addition, in the description of the embodiment of the application, unless otherwise explicitly specified and limited, the terms “installation”, “connection”, “connection” should be understood broadly, for example, can be fixedly connected, can also be detachably connected, or integrally connected; can be mechanically connected, can also be electrically connected; can be directly connected, can also be indirectly connected through an intermediate medium, can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the application can be understood according to the specific circumstances. If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the application or the part of the technical solutions that essentially contribute to the prior art or the part of the technical solutions can be embodied in the form of software products, and the computer software product is stored in a storage medium, including a plurality of instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk and various program code storage media.

[0059] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance. Finally, it should be noted that: the above examples are only specific embodiments of the present application, used to illustrate the technical solutions of the present application, and are not a limitation on it, the protection scope of the present application is not limited to this, although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand: any person skilled in the art within the technical range disclosed by the present application, it can still modify or easily think of changes to the technical solutions recorded in the foregoing examples, or make equivalent replacement to part of the technical features; and these modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for early warning of air conditioner failure, characterized in that, The method comprises: obtaining a current temperature monitoring parameter of a target vehicle; the temperature monitoring parameter comprises an indoor temperature of an air conditioning device working process of the target vehicle, and an outdoor temperature of an environment in which the target vehicle is located; determining a daily cooling rate of the target vehicle according to the temperature monitoring parameter, and obtaining a cooling rate of a preset screening comparison group of the target vehicle according to the temperature monitoring parameter; wherein the cooling rate is used to represent a cooling speed of the air conditioning device; and the screening comparison group is used to represent a vehicle group consistent with vehicle model parameters, power type parameters and / or environment parameters of the target vehicle; determining a cooling rate statistical result of the air conditioning device in a historical monitoring period according to the daily cooling rate; determining a fault early warning trigger mode of the temperature monitoring parameter based on a corresponding early warning trigger condition of the cooling rate statistical result and the cooling rate of the screening comparison group.

2. The method of claim 1, wherein, The step of determining the daily cooling rate of the target vehicle according to the temperature monitoring parameter comprises: determining an indoor temperature when the air conditioning device of the target vehicle meets a refrigeration load according to the outdoor temperature; taking the indoor temperature as a monitoring starting temperature; obtaining a required temperature of the target vehicle, and determining a temperature difference from the monitoring starting temperature to the required temperature; monitoring a temperature adjustment time length of the air conditioning device of the target vehicle for the temperature difference; determining the daily cooling rate of the air conditioning device of the target vehicle based on the temperature adjustment time length.

3. The method of claim 1, wherein, The step of obtaining the cooling rate of the preset screening comparison group of the target vehicle according to the temperature monitoring parameter comprises: determining a target city meeting a preset environment temperature interval according to the outdoor temperature; determining a plurality of screening comparison vehicles meeting a preset indoor temperature interval from driving vehicles in the target city according to the indoor temperature; determining the cooling rate of the screening comparison group based on a statistical result of the daily cooling rate of each screening comparison vehicle.

4. The method of claim 3, wherein, The step of determining the cooling rate of the screening comparison group based on a statistical result of the daily cooling rate of each screening comparison vehicle comprises: determining a cooling rate statistical result under the environment temperature interval according to the daily cooling rate of each screening comparison vehicle; determining a reference cooling rate of a vehicle group under the environment temperature interval according to the cooling rate statistical result; determining the reference cooling rate as the cooling rate of the screening comparison group.

5. The method of claim 1, wherein, The step of determining the cooling rate statistical result of the air conditioning device of the target vehicle in the historical monitoring period according to the daily cooling rate comprises: obtaining a cooling rate of the target vehicle in a historical monitoring period; calculating a change amount of the daily cooling rate and a cooling rate of a previous monitoring period; determining a cooling rate statistical result corresponding to the air conditioning device according to a comparison result of the change amount and a historical change amount corresponding to the cooling rate of the historical monitoring period.

6. The method of claim 5, wherein, The step of determining the failure warning triggering mode of the temperature monitoring parameter based on the statistical result of the cooling rate and the pre-warning triggering condition corresponding to the cooling rate of the screening comparison group comprises: If the statistical result of the cooling rate indicates that the change amount of the daily cooling rate is lower than the historical change amount, it is determined that the failure warning triggering mode of the temperature monitoring parameter is a performance degradation failure mode; Meanwhile, if the daily cooling rate is lower than the cooling rate of the screening comparison group, it is determined that the failure warning triggering mode of the temperature monitoring parameter is a high-confidence failure mode.

7. An air conditioner failure early warning device characterized by comprising: The device comprises: a data acquisition module configured to acquire a current temperature monitoring parameter of a target vehicle; the temperature monitoring parameter comprises an indoor temperature of an air conditioning device working process of the target vehicle, and an outdoor temperature of an environment where the target vehicle is located; a data processing module configured to determine a daily cooling rate of the target vehicle according to the temperature monitoring parameter, and acquire a cooling rate of a preset screening comparison group of the target vehicle according to the temperature monitoring parameter; wherein the cooling rate is used to represent the cooling speed of the air conditioning device; and the screening comparison group is used to represent a vehicle group that is consistent with the vehicle model parameter, the power type parameter and / or the environment parameter of the target vehicle; a data statistical module configured to determine a statistical result of the cooling rate of the air conditioning device in a historical monitoring period according to the daily cooling rate; an execution module configured to determine a failure warning triggering mode of the temperature monitoring parameter based on the statistical result of the cooling rate and the pre-warning triggering condition corresponding to the cooling rate of the screening comparison group.

8. An air conditioner failure early warning system characterized by comprising: The system is configured with the device of claim 7, and is used to execute the air conditioner failure warning method of any one of claims 1-6.

9. An electronic device, comprising: The electronic device comprises a processor and a memory, the memory stores machine executable instructions that can be executed by the processor, and the processor executes the machine executable instructions to implement the air conditioner failure warning method of any one of claims 1-6.

10. A machine-readable storage medium, characterized in that, The machine readable storage medium stores machine executable instructions, and when the machine executable instructions are called and executed by the processor, the machine executable instructions cause the processor to implement the air conditioner failure warning method of any one of claims 1-6.

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