CN110398950A - The method and device of remote diagnosis cold chain internet of things equipment failure - Google Patents
The method and device of remote diagnosis cold chain internet of things equipment failure Download PDFInfo
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- CN110398950A CN110398950A CN201910724169.4A CN201910724169A CN110398950A CN 110398950 A CN110398950 A CN 110398950A CN 201910724169 A CN201910724169 A CN 201910724169A CN 110398950 A CN110398950 A CN 110398950A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
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Abstract
The embodiment of the present application provides the method and device of a kind of remote diagnosis cold chain internet of things equipment failure, and method includes: the data for obtaining the temperature control device in cold chain internet of things equipment and reporting;The operating status for judging the temperature control device of the data reported according to the temperature control device;To processing in the operating status in the temperature control device of failure, determine the Exception Type of the temperature control device, wherein the Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor initializing is abnormal, Temperature jump is abnormal, any one or more Exception Type the application in digital display screen failure can be analyzed by the data reported to equipment, can effectively and reasonably analyze the state of current device.Further for faulty equipment, moreover it is possible to analyze the type of current device exception.For different unit exception types, corresponding processing mode is taken.
Description
Technical field
This application involves Cold Chain Logistics transport fields, and in particular to a kind of side of remote diagnosis cold chain internet of things equipment failure
Method and device.
Background technique
With the sustainable development of Cold Chain Logistics transportation industry, in order to ensure fresh fruits and vegetables etc. are located always in each link that circulates
Under defined cryogenic conditions, it is necessary to which temperature control device is installed.In transit, temperature control device acquires report temperature data in real time,
And to be that cold chain transportation link serves vital for these data.
Disadvantage is: if equipment breaks down, no longer persistently reporting normal temperature data, or the data reported have
It is abnormal, and cannot find in time.Irremediable loss will be caused to cold chain transportation.The temperature control device run on the market now,
Lack mostly and effectively equipment fault is monitored, or is simple rough, or artificially inspect periodically, efficiency is often relatively low.
Summary of the invention
For the problems of the prior art, the application provide a kind of method of remote diagnosis cold chain internet of things equipment failure with
And device, it is capable of the failure of efficient remote diagnosis cold chain internet of things equipment.
At least one of to solve the above-mentioned problems, the application the following technical schemes are provided:
In a first aspect, the application provides a kind of method of remote diagnosis cold chain internet of things equipment failure, comprising:
Obtain the data that the temperature control device in cold chain internet of things equipment reports;
The operating status for judging the temperature control device of the data reported according to the temperature control device;
The Exception Type of the temperature control device is determined in the temperature control device of failure to processing in the operating status, wherein
The Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor is initial
Change is abnormal, Temperature jump is abnormal, any one or more Exception Type in digital display screen failure.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
According to vehicle operation data, the total kilometrage of calculating vehicle same day operation;
If vehicle driving total kilometrage is not more than mileage threshold value, judges that vehicle distance travelled is insufficient, determine the temperature control
The Exception Type of equipment is operation not yet in effect.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device temperature data detail list, the same day is counted
Equipment reports temperature total number;
If the temperature data item number that same day sensor reports is 0, it is determined that the Exception Type of the temperature control device is nothing
Temperature anomaly.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device warning information data list, statistics
Same day equipment reports no sensor alarms number;
If the first default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is different for no sensor
Often;
Wherein, the described first default ratio refers to that same day equipment reports no sensor alarms total degree/equipment same day total
Temperature reports number.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device in warning information data list, system
Meter same day equipment reports sensor fault to alert number;
If the second default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is sensor fault
It is abnormal;
Wherein, it is secondary to refer to that the same day reports without sensor alarms summation/equipment same day total temperature for the described second default ratio
Number.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device in warning information data list, system
Meter same day equipment reports sensor initializing to alert number;
If third, which presets ratio, is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is that sensor is initial
Change abnormal;
Wherein, it is secondary to refer to that the same day reports without sensor alarms summation/equipment same day total temperature for the default ratio of the third
Number.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
Device temperature detailed data is sorted by sensor and uplink time, calculates adjacent two temperature of each sensor
Report the time difference;
If the 4th default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is device temperature jump
Variation is normal;
Wherein, Temperature jump number summation/equipment that the 4th default ratio refers to that equipment all the sensors report is worked as
Day total temperature reports number.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Type includes:
It obtains vehicular events detail and inquires same day adaptive cruise control and open to adaptive learning algorithms closing
And the duration is greater than the time of the adaptive learning algorithms close event of preset time;
In vehicular events detail, lookup adaptive cruise control close event time point is backward in preset durations
The offline event of digital display screen;
If the 5th default ratio is not between pre-set interval, it is determined that the Exception Type of the temperature control device is that number is aobvious
Display screen failure;
Wherein, the 5th default ratio refers to the offline number summation of digital display screen/in a period of time in statistics a period of time
Adaptive cruise control reaches adaptive learning algorithms and closes the adaptive learning algorithms pass that the duration is greater than a period of time
Event summation.
Further, the exception of the temperature control device is determined in the temperature control device of failure to processing in the operating status
After type, further includes:
The abnormal continuously appearance exception number of days of single type is calculated, if single abnormal continuous frequency of occurrence is secondary more than presetting
Number can then determine that the equipment is the warping apparatus of continuous abnormal type;
Wherein, continuous abnormal type refer to it is not yet in effect operation, without temperature anomaly, it is different without sensor abnormality, sensor fault
Often, any fault type of sensor initializing extremely, in Temperature jump exception.
Second aspect, the application provide a kind of device of remote diagnosis cold chain internet of things equipment failure, comprising: obtain mould
Block, the data reported for obtaining the temperature control device in cold chain internet of things equipment;Judgment module, for according to the temperature control device
The operating status for judging the temperature control device of the data reported;Determining module, for in the operating status processing in
The temperature control device of failure determines the Exception Type of the temperature control device, wherein the Exception Type refers to not yet in effect run, without temperature
Spend exception, without sensor abnormality, sensor fault exception, sensor initializing exception, Temperature jump exception, digital display screen event
Any one or more Exception Type in barrier.
As shown from the above technical solution, the application provides a kind of method of remote diagnosis cold chain internet of things equipment failure, obtains
The data for taking the temperature control device in cold chain internet of things equipment to report;Judging for the data reported according to the temperature control device is described
The operating status of temperature control device;The different of the temperature control device is determined in the temperature control device of failure to processing in the operating status
Normal type, wherein the Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault it is abnormal,
Sensor initializing is abnormal, Temperature jump is abnormal, any one or more Exception Type in digital display screen failure.Pass through this
Apply for that the data reported to the temperature control device on cold chain transportation, the data of big data analysis Basic characteristics are reasonably diagnosed to be and set
Standby current operating status.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the application
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the application first embodiment;
Fig. 2 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the application second embodiment;
Fig. 3 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the application 3rd embodiment;
Fig. 4 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the application fourth embodiment;
Fig. 5 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the 5th embodiment of the application;
Fig. 6 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the application sixth embodiment;
Fig. 7 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the 7th embodiment of the application;
Fig. 8 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the 8th embodiment of the application;
Fig. 9 is the method flow schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the 9th embodiment of the application;
Figure 10 is the apparatus structure schematic diagram of the remote diagnosis cold chain internet of things equipment failure of the embodiment of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, technical solutions in the embodiments of the present application carries out clear, complete description, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
As shown in Figure 1, this method includes the following steps, namely S100 to step S102:
Step S100 obtains the data that the temperature control device in cold chain internet of things equipment reports;
Step S101, the operating status for judging the temperature control device of the data reported according to the temperature control device;
Step S102 determines the exception of the temperature control device in the temperature control device of failure to processing in the operating status
Type, wherein the Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, passes
Any one or more Exception Type of sensor initialization exception, Temperature jump extremely, in digital display screen failure.
Obtain the data that the temperature control device in cold chain internet of things equipment reports, the number reported according to the temperature control device
According to the operating status for judging the temperature control device, in the operating status processing in the temperature control device of failure, determine institute
State the Exception Type of temperature control device.Through the above steps, the data reported to the temperature control device on cold chain transportation are realized, big number
According to the data of analysis Basic characteristics, it is reasonably diagnosed to be the current operating status of equipment.Normally, unit exception reason include but
It is not limited to, due to ageing equipment, wiring loosening, environment influence, external impacts are even artificial etc., equipment is in dynamic environment
In, it is possible to create it is following: operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor is initial
Change a variety of exceptions such as exception, Temperature jump exception, di digital display screen failure.
A kind of automatic remote diagnosis cold chain internet of things equipment of more device data statistics is provided in embodiments herein
The method of failure is analyzed by the data reported to equipment first, can effectively and reasonably analyze the state of current device.
Secondly for faulty equipment, moreover it is possible to analyze the type of current device exception.For different unit exception types, take corresponding
Processing mode.Human cost effectively is saved, improves the stabilization of equipment operation.It ensure that equipment can be timely, effective, high
Monitoring of the effect ground to cold chain transportation.By this apparatus monitoring method, the current state of equipment will be timely and effectively detected, to event
Barrier equipment can be repaired timely, or replacement.It ensure that cold chain transportation can be more effective, it is so more efficient that be sent to.
It can be seen from the above description that the application realizes following technical effect:
The application provides a kind of method of remote diagnosis cold chain internet of things equipment failure, obtains in cold chain internet of things equipment
The data that temperature control device reports;The operating status for judging the temperature control device of the data reported according to the temperature control device;
The Exception Type of the temperature control device is determined, wherein the exception in the temperature control device of failure to processing in the operating status
Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor initializing is abnormal, temperature
Any one or more Exception Type in degree jump exception, digital display screen failure.By the application on cold chain transportation
The data that temperature control device reports, the data of big data analysis Basic characteristics are reasonably diagnosed to be the current operating status of equipment.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in Fig. 2, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S200, according to vehicle operation data, the total kilometrage of calculating vehicle same day operation;
Step S201 judges that vehicle distance travelled is insufficient, determines if vehicle driving total kilometrage is not more than mileage threshold value
The Exception Type of the temperature control device is operation not yet in effect.
Specifically, operation not yet in effect refers to from vehicle operation detail list, the total kilometrage run on the day of calculating vehicle.If
VMT Vehicle-Miles of Travel is less than or equal to 10km, it is believed that vehicle distance travelled is insufficient, and the data deficiencies of generation is to carry out abnormity diagnosis.If
Standby same day operation not yet in effect.Need continuous observation.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 3, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S300, if vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device temperature data detail list,
Statistics same day equipment reports temperature total number;
Step S301, if the temperature data item number that same day sensor reports is 0, it is determined that the exception of the temperature control device
Type is no temperature anomaly.
Specifically, no temperature anomaly: same day vehicle distance travelled is greater than 10km.It can be bright from the device temperature in database
In thin table, statistics same day equipment reports temperature total number.If the temperature data item number that same day sensor reports is 0.Then equipment
The same day is without temperature anomaly.The repair apparatus that need to visit whether wiring disconnection or equipment fault.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 4, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S400, if vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device warning information data detail
In table, statistics same day equipment reports no sensor alarms number;
Step S401, if the first default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is
Without sensor abnormality;
Wherein, the described first default ratio refers to that same day equipment reports no sensor alarms total degree/equipment same day total
Temperature reports number.
Specifically, no sensor abnormality refers to, same day vehicle distance travelled is greater than 10km, alerts from cold chain internet of things equipment
In information table, statistics same day equipment reports no sensor alarms number.Single sensor alarms are primary, even if primary alarm.When
The temperature that day equipment reports no sensor alarms total degree/equipment same day total reports number.If ratio is greater than 1%, equipment
The same day is without sensor alarms exception.It need to visit and check whether device sensor wiring is normal.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 5, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S500, if vehicle driving total kilometrage is greater than mileage threshold value, warning information data are bright from temperature control device
In thin table, statistics same day equipment reports sensor fault to alert number;
Step S501, if the second default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is
Sensor fault is abnormal;
Wherein, it is secondary to refer to that the same day reports without sensor alarms summation/equipment same day total temperature for the described second default ratio
Number.
Specifically, sensor fault refers to extremely, and same day vehicle distance travelled is greater than 10km.From Basic characteristics warning information
In table, statistics same day equipment reports sensor fault to alert number.Single sensor alarms are primary, even if primary alarm.The same day
Total temperature of no sensor alarms summation/equipment same day reports number, if ratio is greater than 1%.Then equipment same day sensor event
Barrier is abnormal.Need to visit inspection and more emat sensor.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in fig. 6, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S600, if vehicle driving total kilometrage is greater than mileage threshold value, warning information data are bright from temperature control device
In thin table, statistics same day equipment reports sensor initializing to alert number;
Step S601, if third presets ratio and is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is
Sensor initializing is abnormal;
Wherein, it is secondary to refer to that the same day reports without sensor alarms summation/equipment same day total temperature for the default ratio of the third
Number.
Specifically, sensor initializing refers to extremely, and same day vehicle distance travelled is greater than 10km.It alerts and believes from Basic characteristics
It ceases in table, statistics same day equipment reports sensor initializing to alert number.Single sensor alarms are primary, even if primary alarm.
The same day reports number without sensor alarms summation/equipment same day total temperature, if ratio is greater than 1%.Then the equipment same day senses
Device initialization exception.Software release issue needs to upgrade equipment.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in fig. 7, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Device temperature detailed data is sorted by sensor and uplink time, it is adjacent to calculate each sensor by step S700
Two temperature report the time difference;
Step S701, if the 4th default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is
Device temperature jump is abnormal;
Wherein, Temperature jump number summation/equipment that the 4th default ratio refers to that equipment all the sensors report is worked as
Day total temperature reports number.
Specifically, in real time, each sensor standard configuration of cold chain is to report a temperature number in every 30 seconds for device temperature jump
According to.Device temperature detailed data is sorted by sensor and uplink time.Calculate reporting for adjacent two temperature of each sensor
Time difference.If the time difference, less than 30 seconds, representative is two temperature that are adjacent and normally uploading.Calculate two temperature differences at this time
Absolute value (calculation formula abs (a-b) >=15).If absolute value is more than or equal to 15 degree, temperature change is abnormal, and record is primary
Device temperature jump is abnormal.
Statistics Temperature jump number summation/equipment same day for reporting of equipment all the sensors total temperature reports number, such as
Fruit ratio is greater than 1%.Then equipment same day Temperature jump is abnormal.Processing mode, sensor abnormality, more emat sensor of visiting.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 8, to being handled in the operating status
In the temperature control device of failure, determine that the Exception Type of the temperature control device includes:
Step S800 obtains vehicular events detail and inquires same day adaptive cruise control and opens to adaptive cruise
Control closing and duration are greater than the time of the adaptive learning algorithms close event of preset time;
Step S801 in vehicular events detail, searches adaptive cruise control close event time point and presets backward
The offline event of digital display screen in duration;
Step S802, if the 5th default ratio is not between pre-set interval, it is determined that the exception class of the temperature control device
Type is digital display screen failure;
Wherein, the 5th default ratio refers to the offline number summation of digital display screen/in a period of time in statistics a period of time
Adaptive cruise control reaches adaptive learning algorithms and closes the adaptive learning algorithms that the duration was greater than in a period of time
Pass event summation.
DI digital display screen failure: cold chain DI digital display screen is the attached display screen of Basic characteristics, and meeting real-time display is cold
States, the DI screens such as chain monitoring of tools region Current Temperatures humidity start operation with vehicle launch simultaneously.Theoretically DI number
Display screen after vehicle ACC adaptive learning algorithms open and close time in 2 minutes i.e. can generate a DI digital display screen it is online,
Offline event.By the data relationship of DI digital display screen and ACC adaptive learning algorithms, using following Logical Supervisory Control DI screen
Working condition.
From the vehicular events detail of database, inquiry same day vehicle ACC adaptive learning algorithms are opened adaptive to ACC
It answers the ACC of cruise control closing and duration greater than 5 minutes to close the time of event, is ensured of one section of effectively operation.Again from vehicle
In generator terminal event detail table, searches ACC and close the event time point offline event of DI screen in 2 minutes backward.It is offline to count nearest 5 days DI
Number summation/nearest 5 days vehicle ACC reach ACC and close ACC pass event summation of the duration greater than 5 minutes.If ratio does not exist
Between [0.7-1.3], DI screen normally cannot start and close, Basic characteristics DI screen failure.It need to visit and overhaul DI digital display screen
Equipment.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 9, to being handled in the operating status
After the temperature control device of failure, the Exception Type for determining the temperature control device, further includes:
Step S900 calculates the abnormal continuous abnormal number of days of appearance of single type, if single abnormal continuous frequency of occurrence is super
Preset times are crossed, then can determine that the equipment is the warping apparatus of continuous abnormal type;
Wherein, continuous abnormal type refer to it is not yet in effect operation, without temperature anomaly, it is different without sensor abnormality, sensor fault
Often, any fault type of sensor initializing extremely, in Temperature jump exception.
Specifically, in addition to the synthesis result that DI screen failure is 5 days, other monitoring exceptions are all the monitored results in odd-numbered day.But
It is that equipment individual event might have contingency appearance extremely, so increasing the rule of following removal incident: statistics equipment is nearest
Three days monitored results (removing DI screen failure).Calculate the abnormal continuous abnormal number of days of appearance of single type.If single abnormal continuous
Occur three days, then can determine that the equipment is the warping apparatus of the continuous abnormal type.Using which, more reasonable deduction
Have current device whether normal operation with equipment whether failure and failure cause.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
According to the embodiment of the present application, additionally provide a kind of for implementing above-mentioned remote diagnosis cold chain internet of things equipment failure
The device of method, as shown in Figure 10, the device include: to obtain module 100, are set for obtaining the temperature control in cold chain internet of things equipment
The standby data reported;Judgment module 200, data for being reported according to the temperature control device judge the temperature control device
Operating status;Determining module 300, for determining that the temperature control is set in the temperature control device of failure to processing in the operating status
Standby Exception Type, wherein the Exception Type refer to it is not yet in effect operation, without temperature anomaly, without sensor abnormality, sensor therefore
Barrier is abnormal, sensor initializing is abnormal, Temperature jump is abnormal, any one or more exception class in digital display screen failure
Type.
Obtain the data that the temperature control device in cold chain internet of things equipment reports, the number reported according to the temperature control device
According to the operating status for judging the temperature control device, in the operating status processing in the temperature control device of failure, determine institute
State the Exception Type of temperature control device.Through the above steps, the data reported to the temperature control device on cold chain transportation are realized, big number
According to the data of analysis Basic characteristics, it is reasonably diagnosed to be the current operating status of equipment.Normally, unit exception reason include but
It is not limited to, due to ageing equipment, wiring loosening, environment influence, external impacts are even artificial etc., equipment is in dynamic environment
In, it is possible to create it is following: operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor is initial
Change a variety of exceptions such as exception, Temperature jump exception, di digital display screen failure.
A kind of automatic remote diagnosis cold chain internet of things equipment of more device data statistics is provided in embodiments herein
The method of failure is analyzed by the data reported to equipment first, can effectively and reasonably analyze the state of current device.
Secondly for faulty equipment, moreover it is possible to analyze the type of current device exception.For different unit exception types, take corresponding
Processing mode.Human cost effectively is saved, improves the stabilization of equipment operation.It ensure that equipment can be timely, effective, high
Monitoring of the effect ground to cold chain transportation.By this apparatus monitoring method, the current state of equipment will be timely and effectively detected, to event
Barrier equipment can be repaired timely, or replacement.It ensure that cold chain transportation can be more effective, it is so more efficient that be sent to.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
Although this application provides the method operating procedure as described in embodiment or flow chart, based on conventional or noninvasive
The labour for the property made may include more or less operating procedure.The step of enumerating in embodiment sequence is only numerous steps
One of execution sequence mode, does not represent and unique executes sequence.It, can when device or client production in practice executes
To be executed according to embodiment or method shown in the drawings sequence or parallel execute (such as parallel processor or multithreading
The environment of processing).
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, vehicle-mounted human-computer interaction device, cellular phone, camera phone, smart phone, individual
Digital assistants, media player, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or
The combination of any equipment in these equipment of person.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It will be understood by those skilled in the art that the embodiment of this specification can provide as the production of method, system or computer program
Product.Therefore, in terms of this specification embodiment can be used complete hardware embodiment, complete software embodiment or combine software and hardware
Embodiment form.
This specification embodiment can describe in the general context of computer-executable instructions executed by a computer,
Such as program module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, journey
Sequence, object, component, data structure etc..This specification embodiment can also be practiced in a distributed computing environment, in these points
Cloth calculates in environment, by executing task by the connected remote processing devices of communication network.In distributed computing ring
In border, program module can be located in the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ",
The description of " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, structure, material
Or feature is contained at least one embodiment or example of this specification embodiment.In the present specification, to above-mentioned term
Schematic representation be necessarily directed to identical embodiment or example.Moreover, description specific features, structure, material or
Person's feature may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, in not conflicting feelings
Under condition, those skilled in the art by different embodiments or examples described in this specification and different embodiment or can show
The feature of example is combined.
The foregoing is merely the embodiments of this specification, are not limited to this specification embodiment.For ability
For field technique personnel, this specification embodiment can have various modifications and variations.It is all this specification embodiment spirit and
Any modification, equivalent replacement, improvement and so within principle should be included in the scope of the claims of this specification embodiment
Within.
Claims (10)
1. a kind of method of remote diagnosis cold chain internet of things equipment failure characterized by comprising
Obtain the data that the temperature control device in cold chain internet of things equipment reports;
The operating status for judging the temperature control device of the data reported according to the temperature control device;
The Exception Type of the temperature control device is determined in the temperature control device of failure to processing in the operating status, wherein described
Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, sensor initializing is different
Often, any one or more Exception Type of Temperature jump extremely, in digital display screen failure.
2. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
According to vehicle operation data, the total kilometrage of calculating vehicle same day operation;
If vehicle driving total kilometrage is not more than mileage threshold value, judges that vehicle distance travelled is insufficient, determine the temperature control device
Exception Type be operation not yet in effect.
3. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device temperature data detail list, same day equipment is counted
Report temperature total number;
If the temperature data item number that same day sensor reports is 0, it is determined that the Exception Type of the temperature control device is no temperature
It is abnormal.
4. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
If vehicle driving total kilometrage is greater than mileage threshold value, from temperature control device warning information data list, the same day is counted
Equipment reports no sensor alarms number;
If the first default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is no sensor abnormality;
Wherein, the described first default ratio refers to that same day equipment reports total temperature of no sensor alarms total degree/equipment same day
Report number.
5. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
If vehicle driving total kilometrage is greater than mileage threshold value, from warning information data list, statistics is worked as in temperature control device
Day equipment reports sensor fault to alert number;
If the second default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is that sensor fault is different
Often;
Wherein, the described second default ratio refers to that the same day reports number without sensor alarms summation/equipment same day total temperature.
6. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
If vehicle driving total kilometrage is greater than mileage threshold value, from warning information data list, statistics is worked as in temperature control device
Day equipment reports sensor initializing to alert number;
If third, which presets ratio, is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is that sensor initializing is different
Often;
Wherein, the default ratio of the third refers to that the same day reports number without sensor alarms summation/equipment same day total temperature.
7. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
Device temperature detailed data is sorted by sensor and uplink time, calculates reporting for adjacent two temperature of each sensor
Time difference;
If the 4th default ratio is greater than alarm threshold value, it is determined that the Exception Type of the temperature control device is that device temperature jump is different
Often;
Wherein, Temperature jump number summation/equipment same day that the 4th default ratio refers to that equipment all the sensors report is total
Temperature report number.
8. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing determines that the Exception Type of the temperature control device includes: in the temperature control device of failure in row state
It obtains vehicular events detail and inquires same day adaptive cruise control and open to adaptive learning algorithms closing and hold
The continuous time is greater than the time of the adaptive learning algorithms close event of preset time;
In vehicular events detail, adaptive cruise control close event time point number in preset durations backward is searched
The offline event of display screen;
If the 5th default ratio is not between pre-set interval, it is determined that the Exception Type of the temperature control device is digital display screen
Failure;
Wherein, the 5th default ratio refers to the vehicle of the offline number summation of digital display screen/in a period of time in statistics a period of time
Adaptive learning algorithms reach adaptive learning algorithms and close the adaptive learning algorithms pass thing that the duration was greater than in a period of time
Part summation.
9. the method for remote diagnosis cold chain internet of things equipment failure according to claim 1, which is characterized in that the fortune
Processing is after the temperature control device of failure, the Exception Type for determining the temperature control device in row state, further includes:
The abnormal continuous abnormal number of days of appearance of single type is calculated, if single abnormal continuous frequency of occurrence is more than preset times,
It can determine that the equipment is the warping apparatus of continuous abnormal type;
Wherein, continuous abnormal type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, passes
Any fault type in sensor initialization exception, Temperature jump exception.
10. a kind of device of remote diagnosis cold chain internet of things equipment failure characterized by comprising
Obtain module, the data reported for obtaining the temperature control device in cold chain internet of things equipment;
Judgment module, the operating status for judging the temperature control device of the data for being reported according to the temperature control device;
Determining module, for determining the exception of the temperature control device in the temperature control device of failure to processing in the operating status
Type, wherein the Exception Type refer to operation not yet in effect, without temperature anomaly, without sensor abnormality, sensor fault is abnormal, passes
Any one or more Exception Type of sensor initialization exception, Temperature jump extremely, in digital display screen failure.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205176546U (en) * | 2015-11-13 | 2016-04-20 | 北京中科金马科技股份有限公司 | WIFI temperature controller that communicates with unmanned function that detects |
CN107390741A (en) * | 2017-07-31 | 2017-11-24 | 北京宇航系统工程研究所 | A kind of temprature control method |
CN108919726A (en) * | 2018-08-16 | 2018-11-30 | 深圳市宇元智能电器有限公司 | Intelligent industrial oven control system and its control method |
CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
-
2019
- 2019-08-07 CN CN201910724169.4A patent/CN110398950B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205176546U (en) * | 2015-11-13 | 2016-04-20 | 北京中科金马科技股份有限公司 | WIFI temperature controller that communicates with unmanned function that detects |
CN107390741A (en) * | 2017-07-31 | 2017-11-24 | 北京宇航系统工程研究所 | A kind of temprature control method |
CN108919726A (en) * | 2018-08-16 | 2018-11-30 | 深圳市宇元智能电器有限公司 | Intelligent industrial oven control system and its control method |
CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
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