CN117576804A - Alarm method, device and equipment for vehicle self-adaptive threshold value and storage medium - Google Patents
Alarm method, device and equipment for vehicle self-adaptive threshold value and storage medium Download PDFInfo
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
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Abstract
The invention relates to a warning method, a device, equipment and a storage medium for a vehicle self-adaptive threshold value, wherein the method comprises the following steps: preprocessing initial vehicle operation data to obtain target vehicle operation data; updating the parameter threshold range according to the vehicle history operation database in a preset period; judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range; and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm. According to the method, the initial vehicle operation data are preprocessed to obtain the target vehicle operation data, the reliability of the data is improved, the parameter threshold range is updated according to the vehicle history operation database, abnormal data in the target vehicle operation data can be accurately identified through the updated parameter threshold range, so that an alarm is sent out to prompt, and the abnormal data are independently stored in the preset database, so that the subsequent processing of the abnormal data is facilitated.
Description
Technical Field
The present invention relates to the field of vehicle control technologies, and in particular, to a method, an apparatus, a device, and a storage medium for alarming a vehicle adaptive threshold.
Background
Traffic is the basic requirement of people's daily activities, and with the development of society, vehicles gradually become the necessity of every family, however this inevitably brings huge pressure to traffic, and an unnoticed emergency brake is likely to cause traffic accidents, which not only affects own travel, but also affects other people's travel.
In the prior art, through setting the threshold range of various parameters of a vehicle, acquiring vehicle operation data through a sensor installed on the vehicle, then comparing the acquired vehicle operation data with the corresponding threshold range, judging whether the vehicle operation data generated by the vehicle in running is normal or not, thereby realizing the warning of the vehicle operation state.
However, in the prior art, the threshold range of the parameter for judging the vehicle running data is generally fixed, and the external factors influencing the vehicle running data are more, and the threshold range of the set parameter is difficult to change, so that some normal data are omitted, and some abnormal data are regarded as the normal data, so that potential safety hazards exist.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, apparatus, device and storage medium for alarming a vehicle adaptive threshold, so as to solve the problem in the prior art that the threshold range of the vehicle operation data is fixed, and the influence of external factors is ignored, so that an error occurs in judging the vehicle data, and potential safety hazard exists.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a vehicle adaptive threshold warning method, including:
preprocessing initial vehicle operation data to obtain target vehicle operation data;
updating the parameter threshold range according to the vehicle history operation database in a preset period;
judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm.
In some possible implementations, preprocessing the initial vehicle operation data to obtain target vehicle operation data includes:
screening the initial vehicle operation data, and eliminating invalid data in the initial vehicle operation data;
splicing the initial vehicle operation data according to a preset data relationship;
filling the missing initial vehicle operation data to obtain target vehicle operation data.
In some possible implementations, updating the parameter threshold range at a preset period according to the vehicle history operation database includes:
respectively counting various vehicle parameters in a vehicle history operation database;
calculating the mean value and standard deviation of each vehicle parameter according to the statistical result;
updating the parameter threshold range according to the mean value and the standard deviation.
In some possible implementations, updating the parameter threshold range according to the mean and standard deviation includes:
setting the difference between the average value and the preset multiple of the standard deviation as the lower limit of the parameter threshold range;
setting the sum of the preset multiples of the mean value and the standard deviation as the upper limit of a parameter threshold range;
and updating the parameter threshold range according to the lower limit of the parameter threshold range and the upper limit of the parameter threshold range.
In some possible implementations, the parameter threshold range includes multiple parameter threshold sub-ranges of different kinds; after updating the parameter threshold range according to the vehicle history operation database in a preset period, the method comprises the following steps: the target class of the parameter threshold range is determined according to the vehicle type, and the plurality of parameter threshold sub-ranges are modified based on the target class.
In some possible implementations, determining whether the target vehicle operation data is abnormal according to the updated parameter threshold range includes:
if any vehicle parameter is not in the updated parameter threshold range, setting the vehicle parameter as abnormal data.
In some possible implementations, storing the abnormal target vehicle operation data in a preset database, and sending out an abnormal alarm, including: and inquiring abnormal data in a preset database, and sending out an abnormal alarm according to the abnormal data.
In a second aspect, the present invention further provides a warning device for a vehicle adaptive threshold, including:
the preprocessing module is used for preprocessing the initial vehicle operation data to obtain target vehicle operation data;
the threshold updating module is used for updating the parameter threshold range according to the vehicle history operation database in a preset period;
the abnormality judging module is used for judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
and the alarm module is used for storing the abnormal target vehicle operation data into a preset database and sending out abnormal alarms.
In a third aspect, the present invention also provides an alert device for a vehicle adaptive threshold, comprising a memory and a processor, wherein,
a memory for storing a program;
and a processor coupled to the memory for executing the program stored in the memory to implement the steps in the vehicle adaptive threshold alerting method in any one of the above implementations.
In a fourth aspect, the present invention also provides a computer readable storage medium storing a computer readable program or instructions, which when executed by a processor, implement the steps in the vehicle adaptive threshold warning method in any one of the above implementations.
The beneficial effects of adopting the embodiment are as follows: the invention relates to a warning method, a device, equipment and a storage medium for a vehicle self-adaptive threshold value, wherein the method comprises the following steps: preprocessing initial vehicle operation data to obtain target vehicle operation data; updating the parameter threshold range according to the vehicle history operation database in a preset period; judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range; and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm. According to the method, the initial vehicle operation data are preprocessed to obtain the target vehicle operation data, the reliability of the data is improved, the parameter threshold range is updated according to the vehicle history operation database, abnormal data in the target vehicle operation data can be accurately identified through the updated parameter threshold range, so that an alarm is sent out to prompt, and the abnormal data are independently stored in the preset database, so that the subsequent processing of the abnormal data is facilitated.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for warning of adaptive thresholds of a vehicle according to the present invention;
FIG. 2 is a flowchart illustrating an embodiment of the step S101 in FIG. 1 according to the present invention;
FIG. 3 is a flowchart illustrating an embodiment of the step S102 in FIG. 1 according to the present invention;
FIG. 4 is a flowchart illustrating an embodiment of the step S303 in FIG. 3 according to the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of a vehicle adaptive threshold warning device according to the present invention;
fig. 6 is a schematic structural diagram of a vehicle adaptive threshold alarm device according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and together with the description serve to explain the principles of the invention, and are not intended to limit the scope of the invention.
In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention provides a warning method, device and equipment for a vehicle self-adaptive threshold value and a storage medium, and the warning method, device and equipment and the storage medium are respectively described below.
Referring to fig. 1, fig. 1 is a flowchart of an embodiment of a vehicle adaptive threshold warning method according to the present invention, and a specific embodiment of the present invention discloses a vehicle adaptive threshold warning method, which includes:
s101, preprocessing initial vehicle operation data to obtain target vehicle operation data;
s102, updating a parameter threshold range according to a vehicle history operation database in a preset period;
s103, judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
s104, storing the abnormal target vehicle operation data into a preset database, and sending out an abnormal alarm.
In the above embodiment, the method for acquiring the initial vehicle running data is more, the initial vehicle running data is acquired through the sensor, and is processed and analyzed after being transmitted through the Tbox, wherein the Tbox is a Box on the automobile, which refers to a Telematics Box, a remote communication terminal, and a vehicle body network and a wireless communication function are integrated.
The vehicle history operation database records the history operation data of various vehicles, and the target vehicle operation data is added into the vehicle history operation database after each analysis and alarm of the target vehicle operation data, so that the vehicle history operation database is updated, and the updating of the parameter threshold range is influenced later.
When judging whether the running data of the target vehicle is abnormal, judging all parameter types in the running data of the target vehicle, and identifying abnormal data which do not meet the requirements from the abnormal data to know the condition of the vehicle in the running process.
The abnormal target vehicle operation data is stored in the preset database, so that the abnormal target vehicle operation data can be processed uniformly, the abnormal data can be checked and called conveniently later, and if the abnormal data exist, an alarm is sent out according to the type of the abnormal data to remind related personnel of the need of paying attention to the vehicle condition.
Compared with the prior art, the method, the device, the equipment and the storage medium for alarming the self-adaptive threshold of the vehicle provided by the embodiment comprise the following steps: preprocessing initial vehicle operation data to obtain target vehicle operation data; updating the parameter threshold range according to the vehicle history operation database in a preset period; judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range; and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm. According to the method, the initial vehicle operation data are preprocessed to obtain the target vehicle operation data, the reliability of the data is improved, the parameter threshold range is updated according to the vehicle history operation database, abnormal data in the target vehicle operation data can be accurately identified through the updated parameter threshold range, so that an alarm is sent out to prompt, and the abnormal data are independently stored in the preset database, so that the subsequent processing of the abnormal data is facilitated.
Referring to fig. 2, fig. 2 is a flowchart of an embodiment of step S101 in fig. 1 provided by the present invention, in some embodiments of the present invention, preprocessing initial vehicle operation data to obtain target vehicle operation data, including:
s201, screening initial vehicle operation data, and eliminating invalid data in the initial vehicle operation data;
s202, splicing initial vehicle operation data according to a preset data relationship;
s203, filling the missing initial vehicle operation data to obtain target vehicle operation data.
In the above embodiment, the collected initial vehicle running data is a plurality of vehicle parameters at a certain moment, and a situation that some of the parameters collected at a certain moment are invalid parameters may occur.
In a large amount of vehicle parameter data, the vehicle parameters need to be classified, which is beneficial to subsequent data processing, so that the data are spliced through a preset data relationship, such as the speed and the acceleration of the vehicle, the real-time oil quantity of the vehicle and the oil consumption of the vehicle can be spliced, and it is understood that the vehicle parameters for splicing can be set according to actual needs, and the invention is not limited in this way.
The missing data in the initial vehicle running data is determined, and the vehicle parameters with different missing data can be filled in a plurality of modes, for example, fixed values can be directly given according to the types of the vehicle parameters, the missing data can be filled through an interpolation method by adjacent parameters, and the missing data can be filled according to the average value of the historical data.
Referring to fig. 3, fig. 3 is a flowchart of an embodiment of step S102 in fig. 1 provided by the present invention, in some embodiments of the present invention, updating a parameter threshold range according to a vehicle history operation database with a preset period includes:
s301, respectively counting various vehicle parameters in a vehicle history operation database;
s302, calculating the mean value and standard deviation of each vehicle parameter according to the statistical result;
and S303, updating the parameter threshold range according to the mean value and the standard deviation.
In the above embodiment, the vehicle history operation database is separately counted according to the type of the vehicle parameters and the time of collection, so that the change condition of each vehicle parameter can be clearly known, and the update of the parameter threshold range is facilitated.
And calculating the mean value and standard deviation of each vehicle parameter according to the statistical result, wherein the mean value indicates the central position of the variable in a group of data materials and marks the quantity level and the quality level of the characters represented by the materials. The standard deviation can be used for judging the representative intensity of the average, and the frequency distribution of the variables and the proportion of various observed values in the whole can be estimated.
The upper limit and the lower limit of the parameter threshold range are calculated through the mean value and the standard deviation, the purpose of updating the parameter threshold range according to the vehicle history operation database is achieved, the change condition of the vehicle in the operation process can be accurately known through updating the parameter threshold range, and therefore the abnormal value in the vehicle parameter can be accurately identified.
Referring to fig. 4, fig. 4 is a flowchart of an embodiment of step S303 in fig. 3, where in some embodiments of the present invention, updating the parameter threshold range according to the mean value and the standard deviation includes:
s401, setting the difference between the average value and the preset multiple of the standard deviation as the lower limit of a parameter threshold range;
s402, setting the sum of preset multiples of the mean value and the standard deviation as the upper limit of a parameter threshold range;
s403, updating the parameter threshold range according to the lower limit of the parameter threshold range and the upper limit of the parameter threshold range.
In the above-described embodiment, the section of the main distribution range of data can be confirmed from all the vehicle history operation databases by the mean and the standard deviation, whereas in the present invention, the difference between the mean and the triple standard deviation is selected as the lower limit of the parameter threshold range, and the sum of the mean and the triple standard deviation is selected as the upper limit of the parameter threshold range, and the range of normal data is determined by the lower limit of the parameter threshold range and the upper limit of the parameter threshold range.
In some embodiments of the invention, the parameter threshold range includes a plurality of parameter threshold sub-ranges of different kinds; after updating the parameter threshold range according to the vehicle history operation database in a preset period, the method comprises the following steps: the target class of the parameter threshold range is determined according to the vehicle type, and the plurality of parameter threshold sub-ranges are modified based on the target class.
In the above embodiment, the types of the vehicle parameters are various, the corresponding parameter threshold sub-ranges are also various, and for different vehicle types, the types of the abnormal data to be identified are different, so that the set various parameter threshold sub-ranges can be modified according to the actual needs, and the adjustment can be performed according to the actual needs, such as deleting part of the parameter threshold sub-ranges or adding part of the parameter threshold sub-ranges, so as to adapt to the needs of identifying the abnormal vehicle of various types.
In some embodiments of the present invention, determining whether the target vehicle operation data is abnormal according to the updated parameter threshold range includes:
if any vehicle parameter is not in the updated parameter threshold range, setting the vehicle parameter as abnormal data.
In the above embodiment, when identifying whether the vehicle is abnormal, the collected vehicle parameters are compared with the corresponding parameter threshold ranges, the vehicle parameters whose values are within the parameter threshold ranges are normal data, and the vehicle parameters whose values are not within the parameter threshold ranges are abnormal data, so that all the target vehicle operation data need to be identified one by one.
In some embodiments of the present invention, storing abnormal target vehicle operation data in a preset database, and sending out an abnormal alarm, including: and inquiring abnormal data in a preset database, and sending out an abnormal alarm according to the abnormal data.
In the above embodiment, the related personnel may directly query the preset database, learn the abnormal data in the preset database, and send out a corresponding abnormal alarm according to the type of the abnormal data, so as to prompt the driver and the related personnel to process.
In order to better implement the warning method of the adaptive threshold of the vehicle in the embodiment of the present invention, referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of the warning device of the adaptive threshold of the vehicle provided by the present invention, based on the warning method of the adaptive threshold of the vehicle, and the embodiment of the present invention provides a warning device 500 of the adaptive threshold of the vehicle, including:
the preprocessing module 510 is configured to preprocess the initial vehicle operation data to obtain target vehicle operation data;
the threshold updating module 520 is configured to update the parameter threshold range according to the vehicle history operation database at a preset period;
an anomaly determination module 530, configured to determine whether the target vehicle operation data is abnormal according to the updated parameter threshold range;
and the alarm module 540 is used for storing the abnormal operation data of the target vehicle into a preset database and giving an abnormal alarm.
What needs to be explained here is: the apparatus 500 provided in the foregoing embodiments may implement the technical solutions described in the foregoing method embodiments, and the specific implementation principles of the foregoing modules or units may be referred to the corresponding content in the foregoing method embodiments, which is not described herein again.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a vehicle adaptive threshold alarm device according to an embodiment of the present invention. Based on the warning method of the vehicle self-adaptive threshold, the invention also correspondingly provides warning equipment of the vehicle self-adaptive threshold, and the warning equipment of the vehicle self-adaptive threshold can be computing equipment such as a mobile terminal, a desktop computer, a notebook computer, a palm computer, a server and the like. The vehicle adaptive threshold alert device 600 includes a processor 610, a memory 620, and a display 630. Fig. 6 shows only some of the components of the vehicle adaptive threshold alert device, but it should be understood that not all of the illustrated components need be implemented, and more or fewer components may alternatively be implemented.
The memory 620 may in some embodiments be an internal storage unit of the vehicle adaptive threshold alerting device 600, such as a hard disk or memory of the vehicle adaptive threshold alerting device 600. The memory 620 may also be an external storage device of the vehicle adaptive threshold alert device 600 in other embodiments, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which is provided on the vehicle adaptive threshold alert device 600. Further, the memory 620 may also include both internal and external storage devices of the alert device 600 for vehicle adaptive thresholds. The memory 620 is used for storing application software of the warning device 600 installed at the vehicle adaptive threshold value and various kinds of data, such as program codes of the warning device 600 installed at the vehicle adaptive threshold value. The memory 620 may also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 620 stores a vehicle adaptive threshold alert program 640, and the vehicle adaptive threshold alert program 640 is executable by the processor 610 to implement the vehicle adaptive threshold alert method according to embodiments of the present application.
The processor 610 may be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip in some embodiments for executing program code or processing data stored in the memory 620, such as executing a vehicle adaptive threshold warning method, etc.
The display 630 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 630 is used to display information at the vehicle adaptive threshold alert device 600 and to display a visual user interface. The components 610-630 of the vehicle adaptive threshold alert device 600 communicate with each other over a system bus.
In one embodiment, the steps in the vehicle adaptive threshold alerting method as described above are implemented when the processor 610 executes the vehicle adaptive threshold alerting program 640 in the memory 620.
The present embodiment also provides a computer-readable storage medium having stored thereon a warning program for a vehicle adaptive threshold, which when executed by a processor, implements the steps of:
preprocessing initial vehicle operation data to obtain target vehicle operation data;
updating the parameter threshold range according to the vehicle history operation database in a preset period;
judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm.
In summary, the present embodiment provides a method, an apparatus, a device, and a storage medium for alarming a vehicle adaptive threshold, where the method includes: preprocessing initial vehicle operation data to obtain target vehicle operation data; updating the parameter threshold range according to the vehicle history operation database in a preset period; judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range; and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm. According to the method, the initial vehicle operation data are preprocessed to obtain the target vehicle operation data, the reliability of the data is improved, the parameter threshold range is updated according to the vehicle history operation database, abnormal data in the target vehicle operation data can be accurately identified through the updated parameter threshold range, so that an alarm is sent out to prompt, and the abnormal data are independently stored in the preset database, so that the subsequent processing of the abnormal data is facilitated.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. A method for alerting a vehicle to an adaptive threshold, comprising:
preprocessing initial vehicle operation data to obtain target vehicle operation data;
updating the parameter threshold range according to the vehicle history operation database in a preset period;
judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
and storing the abnormal target vehicle operation data into a preset database, and giving an abnormal alarm.
2. The method for warning of a vehicle adaptive threshold according to claim 1, wherein preprocessing the initial vehicle operation data to obtain target vehicle operation data includes:
screening the initial vehicle operation data, and removing invalid data in the initial vehicle operation data;
splicing the initial vehicle operation data according to a preset data relationship;
filling the missing initial vehicle operation data to obtain target vehicle operation data.
3. The warning method for a vehicle adaptive threshold according to claim 1, wherein the updating of the parameter threshold range at a preset period according to the vehicle history operation database includes:
respectively counting various vehicle parameters in the vehicle history operation database;
calculating the mean value and standard deviation of each vehicle parameter according to the statistical result;
updating the parameter threshold range according to the mean value and the standard deviation.
4. A vehicle adaptive threshold warning method according to claim 3, characterized in that the updating of the parameter threshold range according to the mean and the standard deviation comprises:
setting the difference between the average value and the preset multiple of the standard deviation as the lower limit of a parameter threshold range;
setting the sum of the preset multiples of the mean value and the standard deviation as the upper limit of a parameter threshold range;
and updating the parameter threshold range according to the lower limit of the parameter threshold range and the upper limit of the parameter threshold range.
5. A vehicle adaptive threshold warning method according to claim 3, characterized in that the parameter threshold range includes a plurality of parameter threshold sub-ranges of different kinds; after updating the parameter threshold range according to the vehicle history operation database in a preset period, the method comprises the following steps: and determining the target types of the parameter threshold ranges according to the vehicle types, and modifying the parameter threshold sub-ranges based on the target types.
6. The method for alarming a vehicle adaptive threshold according to claim 1, wherein the determining whether the target vehicle operation data is abnormal according to the updated parameter threshold range comprises:
and if any vehicle parameter is not in the updated parameter threshold range, setting the vehicle parameter as abnormal data.
7. The method for alarming a vehicle adaptive threshold according to claim 1, wherein the step of storing abnormal target vehicle operation data in a preset database and issuing an abnormal alarm comprises: and inquiring the abnormal data in the preset database, and sending out an abnormal alarm according to the abnormal data.
8. A warning device for a vehicle adaptive threshold, comprising:
the preprocessing module is used for preprocessing the initial vehicle operation data to obtain target vehicle operation data;
the threshold updating module is used for updating the parameter threshold range according to the vehicle history operation database in a preset period;
the abnormality judging module is used for judging whether the running data of the target vehicle is abnormal or not according to the updated parameter threshold range;
and the alarm module is used for storing the abnormal target vehicle operation data into a preset database and sending out abnormal alarms.
9. A warning device for a vehicle adaptive threshold is characterized by comprising a memory and a processor, wherein,
the memory is used for storing programs;
the processor, coupled to the memory, is configured to execute the program stored in the memory to implement the steps in the vehicle adaptive threshold alerting method of any one of the preceding claims 1 to 7.
10. A computer readable storage medium storing a computer readable program or instructions which, when executed by a processor, is capable of carrying out the steps of the vehicle adaptive threshold alerting method of any one of the preceding claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117762078A (en) * | 2024-02-22 | 2024-03-26 | 连云港银丰食用菌科技有限公司 | Intelligent control method for edible fungus room environment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117762078A (en) * | 2024-02-22 | 2024-03-26 | 连云港银丰食用菌科技有限公司 | Intelligent control method for edible fungus room environment |
| CN117762078B (en) * | 2024-02-22 | 2024-06-11 | 连云港银丰食用菌科技有限公司 | Intelligent control method for edible fungus room environment |
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