CN109113981A - A kind of working state detecting method and relevant apparatus of air compressor - Google Patents
A kind of working state detecting method and relevant apparatus of air compressor Download PDFInfo
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- CN109113981A CN109113981A CN201810997032.1A CN201810997032A CN109113981A CN 109113981 A CN109113981 A CN 109113981A CN 201810997032 A CN201810997032 A CN 201810997032A CN 109113981 A CN109113981 A CN 109113981A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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Abstract
The working state detecting method of a kind of air compressor provided herein, comprising: after air compressor starting, the Internet of Things module being connected with the air compressor detects the air compressor with the presence or absence of abnormal；If so, recording the exception, testing result is generated.The working condition of air compressor is detected using the Internet of Things module being connected with air compressor, it can be with the operating status of real-time detection air compressor, and timely feedbacking for long-range detection and abnormal operating condition is realized on this basis, air compressor is avoided not maintained effectively, to can only repair after being damaged.The effective running state information for obtaining air compressor saves a large amount of manpower monitoring resource and equipment cost convenient for being maintained air compressor and being safeguarded.The application also provides working condition detection system, a kind of computer readable storage medium and a kind of air compressor of a kind of air compressor, has above-mentioned beneficial effect.
Description
Technical field
This application involves industrial circle, in particular to a kind of working state detecting method of air compressor, a kind of calculating
Machine readable storage medium storing program for executing and a kind of air compressor.
Background technique
Existing air compressor is intended only as a gas source, can not intelligent control.It is even more impossible to obtain air compression in time
The use state of machine.If the maintenance of equipment is improper, or maintenance is not in time, may damage to equipment；If equipment is different
Often, service also can not be accurately provided.It is necessarily dependent upon the artificial maintenance carried out after failure, greatly reduces air compressor
Working efficiency, and equipment cost obviously increases simultaneously.
Apply for content
The purpose of the application is to provide a kind of working state detecting method of air compressor, a kind of work of air compressor
Make condition detecting system, a kind of computer readable storage medium and a kind of air compressor, solve existing air compressor without
Method judges the problem of working condition.
In order to solve the above technical problems, the application provides a kind of working state detecting method of air compressor, specific skill
Art scheme is as follows:
After air compressor starting, the Internet of Things module being connected with the air compressor detects the air pressure
Assignment component in contracting machine is with the presence or absence of abnormal；
If so, recording the exception, testing result is generated.
Wherein, the assignment component is in power supply, gas tank, air-channel system and the digital flowmeter of the air compressor
One or appoint several combinations.
Wherein, when the assignment component is the power supply, the Internet of Things module being connected with the air compressor detects institute
The assignment component in air compressor is stated with the presence or absence of abnormal specifically:
The Internet of Things module being connected with the air compressor is using the voltage that AD conversion unit detects the power supply
It is no in the first preset range；
If it is not, then there is exception in the power supply.
Wherein, when the assignment component is the gas tank, the Internet of Things module being connected with the air compressor detects institute
The assignment component in air compressor is stated with the presence or absence of abnormal specifically:
The Internet of Things module being connected with the air compressor judge the air compressor gas tank filling time whether
Less than the first preset time；
If so, there is exception in the dynamical system.
Wherein, when the assignment component is air-channel system, the Internet of Things module being connected with the air compressor detects institute
The assignment component in air compressor is stated with the presence or absence of abnormal specifically:
After the gas tank is full of, the Internet of Things module being connected with the air compressor closes the electron gas of the gas tank
Valve, detects whether pressure in the gas tank becomes smaller in the second preset time；
If so, there is exception in the air-channel system.
Wherein, the assignment component is the digital flow timing, the Internet of Things module being connected with the air compressor
The assignment component in the air compressor is detected with the presence or absence of abnormal specifically:
The Internet of Things module being connected with the air compressor opens the electronics air valve, to start to supply；
Whether the flow for detecting the digital flowmeter is consistent with the tolerance of the gas tank reduction；
If it is not, then the digital flowmeter is abnormal.
Wherein, after generation testing result, further includes:
The testing result is uploaded to Internet of Things cloud platform, so that the Internet of Things cloud platform is according to the testing result
It is analyzed and solution is provided.
The application also provides a kind of working condition detection system of air compressor, comprising:
Abnormal judgment module, for detecting the setting group in the air compressor after air compressor starting
Part is with the presence or absence of abnormal；
Testing result generation module is when being, to record the exception for the abnormal judgment module judging result, generates
Testing result.
Wherein, when the assignment component is the power supply, the exception judgment module includes:
First detection unit, for whether detecting the voltage of the power supply using AD conversion unit in the first preset range
It is interior；
It is abnormal to determine that the power supply exists if be judged as NO for the first detection unit for first judging unit.
Wherein, when the assignment component is the gas tank, the exception judgment module includes:
Second detection unit, when whether the gas tank filling time for judging the air compressor is default less than first
Between；
Second judgment unit determines that there are different for the dynamical system if be judged as NO for the second detection unit
Often.
Wherein, when the assignment component is air-channel system, the exception judgment module includes:
Third detection unit, after being full of for the gas tank, using pressure in the electronics air valve detection gas tank second
Whether become smaller in preset time；
Third judging unit determines that there are different for the air-channel system if be judged as YES for the third detection unit
Often.
Wherein, the assignment component is the digital flow timing, and the exception judgment module includes:
4th detection unit is used to open the electronics air valve, to start to supply, and detects the stream of the digital flowmeter
It measures whether consistent with the tolerance of the gas tank reduction；
4th judging unit determines that the digital flowmeter is abnormal if be judged as NO for the 4th detection unit.
Wherein, the working condition detection system further include:
Uploading module, for the testing result to be uploaded to Internet of Things cloud platform, so that the Internet of Things cloud platform root
It is analyzed according to the testing result and solution is provided.
The application also provides a kind of computer readable storage medium, is stored thereon with computer program, the computer can
It reads storage medium to be set in the Internet of Things module inside air compressor, the realization when computer program is executed by microcontroller
The step of working state detecting method as described above.
The application also provides a kind of air compressor, including Internet of Things module, the Internet of Things module include memory and
Microcontroller has computer program in the memory, and the microcontroller calls the computer program in the memory
The step of Shi Shixian working state detecting method as described above.
The working state detecting method of a kind of air compressor provided herein, comprising: when the air compressor
After starting, the Internet of Things module being connected with the air compressor detects the air compressor with the presence or absence of abnormal；If so, note
The exception is recorded, testing result is generated.Using the Internet of Things module being connected with air compressor to the work shape of air compressor
State is detected, can be with the operating status of real-time detection air compressor, and realizes long-range detection and abnormal fortune on this basis
Row state timely feedbacks, and air compressor is avoided not maintained effectively, to can only be tieed up after being damaged
It repairs.The effective running state information for obtaining air compressor saves big convenient for being maintained air compressor and being safeguarded
The manpower monitoring resource and equipment cost of amount.The application also provides working condition detection system, one kind of a kind of air compressor
Computer readable storage medium and a kind of air compressor have above-mentioned beneficial effect, and details are not described herein again.
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 only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the working state detecting method of air compressor provided by the embodiment of the present application；
Fig. 2 is a kind of process of the complete working state detecting method of air compressor provided by the embodiment of the present application
Figure；
Fig. 3 is the flow chart of the working state detecting method of another kind air compressor provided by the embodiment of the present application；
Fig. 4 is a kind of structural schematic diagram of air compressor provided herein；
Fig. 5 is the structural schematic diagram of another air compressor provided herein；
Fig. 6 is a kind of structural representation of the working condition detection system of air compressor provided by the embodiment of the present application
Figure.
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, the technical scheme in the embodiment of the application is clearly and completely described, 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 making creative work, shall fall in the protection scope of this application.
Existing air compressor is intended only as air feed equipment, otherwise can only be in air compressor dependent on artificial maintenance
The failure that component in air compressor is found when efficiency is substantially reduced is broken down or supplied when use.Therefore present applicant proposes
A kind of working state detecting method of air compressor, arranging thing networking module on the basis of existing air compressor, benefit
Each component in air compressor is automaticly inspected with Internet of Things module, be conducive to carry out air compressor maintenance and
Maintenance, it is not necessary to periodically manually be overhauled, save a large amount of human resources and equipment cost.
Referring to FIG. 1, Fig. 1 is a kind of working state detecting method of air compressor provided by the embodiment of the present application
Flow chart, the working state detecting method include:
S101: after air compressor starting, described in the Internet of Things module that is connected with the air compressor detects
Assignment component in air compressor is with the presence or absence of abnormal；If so, into S102；
S102: recording the exception, generates testing result.
It should be noted that being not construed as limiting herein for the particular content of assignment component, the core of the application is to utilize object
Networking module carries out working condition detection to air compressor, therefore should all be to the component that has an impact of air compressor operation
In the protection scope of the application.In other words the detection content of abnormality and not exclusive or changeless, specific detection
Content should be select and set by those skilled in the art.It is understood that be similar to power supply and dynamical system it is necessary to
All detection is primary when detection every time, and what the relative difficults such as air-channel system and digital flowmeter were damaged may be implemented periodic detection.
The content detected every time for the property settings of air compressor difference component, system in this way, can be improved detection efficiency.
Preferably, which can be power supply, gas tank, air-channel system and the digital flowmeter of the air compressor
In one or appoint several combinations.
Certainly, above-mentioned power supply, dynamical system, air-channel system and digital flowmeter are only used as in air compressor preferred several
A component for needing to detect or system, the component detected there may also be other needs or system, do not limit one by one herein.
The Starting mode of air compressor can be for by the starting of Internet of Things module.Specifically, can use Internet of Things mould
Be connected in block with power supply electronic switch starting, can with the power supply of the manually opened air compressor of direct labor, herein for
The Starting mode of air compressor is not construed as limiting.When using Internet of Things module starting air compressor, it may be implemented to air
The remote switch of compressor controls.
It should be noted that the present embodiment focuses on using Internet of Things module to air compressor progress working condition
Detection, and the period of content and working condition detection for working condition detection or frequency are not construed as limiting.It is understood that
Usually may determine that air compressor from inspection data, there are the inspections that the check item of abnormal conditions can be used as Internet of Things module
Survey content.For example, the working condition of power supply in air compressor can be checked, more specifically, the voltage for detecting power supply is
No to meet preset voltage value range and whether voltage maintain for a long time in range of voltage values etc., these are belonged to
The working condition of power supply also belongs to air compressor working condition naturally.Certainly the gas circuit system of air compressor can also be detected
The working condition of system, dynamical system, the output of gas tank, lubricating system etc. component or system, specific detection content is herein not
It limits one by one.
Period or frequency the application for detection are equally not construed as limiting herein.It should be noted that detection is not necessarily
It is carried out when sub- air compressor work, may be set in free time section starting air compressor and carries out each group part system
Abnormality detection.Specifically, a detection time section, certain detection time section can be arranged in the memory of Internet of Things module
It may belong to working time section, also may belong to free time section.At this point, the microcontroller of Internet of Things module can read detection
Period, and when detecting between section time in air compressor is carried out abnormality detection.Specifically, detection cycle or frequency are not
It limits, can be fixed value, such as once a day, can also be determined according to the use duration of air compressor.When air pressure
The relatively frequent or prolonged use whithin a period of time of contracting machine, then can be improved the frequency of abnormality detection.
The present embodiment is intended to illustrate application and is carried out abnormality detection using Internet of Things module to air compressor, without artificial
It checks, can find the unusual condition of air compressor in time, equipment is safeguarded or maintained in time convenient for device manufacturer, is
Client provides efficient service.It is also convenient for the operating status that client controls air compressor in real time, realizes systematization control and intelligence
Energyization management saves a large amount of manpower monitoring resource and equipment cost.
Detection process is illustrated by taking power supply, dynamical system, air-channel system and digital flowmeter as an example individually below, respectively
It is mutually indepedent between detection process and embodiment.
Based on the above embodiment, as preferred embodiment, when the assignment component is the power supply, with the air pressure
The connected Internet of Things module of contracting machine detects the assignment component in the air compressor with the presence or absence of abnormal specifically:
The Internet of Things module being connected with the air compressor is using the voltage that AD conversion unit detects the power supply
It is no in the first preset range；
If it is not, then there is exception in the power supply.
The numerical value of the first preset range is not especially limited herein, it is to be understood that the first preset range should wrap
The voltage rating of air compressor work is included, specific value should be set by those skilled in the art.
Based on the above embodiment, as preferred embodiment, when the assignment component is the gas tank, with the air pressure
The connected Internet of Things module of contracting machine detects the assignment component in the air compressor with the presence or absence of abnormal specifically:
Whether the Internet of Things module being connected with air compressor judges the gas tank filling time of air compressor less than first
Preset time；
If so, there is exception in dynamical system.
Likewise, for the first preset time and be not construed as limiting herein, specific value by those skilled in the art or should be set
Standby manufacturer is configured.
Certainly there may also be other judge dynamical system whether Yi Chang method, such as using barometer judge gas tank
Whether air pressure is normal.
Based on the above embodiment, as preferred embodiment, when the assignment component is air-channel system, with the air pressure
The connected Internet of Things module of contracting machine detects the assignment component in the air compressor with the presence or absence of abnormal specifically:
After gas tank is full of, the Internet of Things module being connected with air compressor closes electronics air valve, detects pressure in gas tank and exists
Whether become smaller in second preset time；
If so, there is exception in air-channel system.
Obviously, when electronics air valve is closed, pressure is but being gradually reduced in gas tank, illustrates the air-channel system being connected with gas tank
There are gas leakage situations, so that pressure reduces in gas tank.Explanation is also needed, the second preset time is not limited herein
It is fixed, such as can be 10 minutes or other times, specific value should be configured by those skilled in the art or device manufacturer.
Based on the above embodiment, as preferred embodiment, the assignment component is the digital flow timing, and described
The connected Internet of Things module of air compressor detects the assignment component in the air compressor with the presence or absence of abnormal specifically:
The Internet of Things module being connected with air compressor opens electronics air valve, supplies to device of air, while detecting number
Whether the flow of flowmeter is consistent with the tolerance of gas tank reduction；
If it is not, then digital flowmeter is abnormal.
The tolerance of gas tank reduction can be calculated by barometrical variable quantity and corresponding physics formula.
Above-mentioned several embodiments are intended to illustrate in Internet of Things module may include component or system in detection air compressor
Corresponding detection module or device, such as detection power supply can use AD conversion unit, and whether detection dynamical system extremely may be used
To full of process timing and then whether filling time is judged less than the first preset time, to judge whether air-channel system extremely can be with
Obtained by pressure in detection gas tank etc..It can be seen that when need (such as to lubricate air compressor other assemblies or system
System) when carrying out working condition detection, corresponding detection module or device can be equipped in Internet of Things module.Certainly, for
Above-mentioned power supply, dynamical system and gas circuit can also have other detection methods and corresponding detection module or device.
It is worth noting that, above-mentioned each detection process is mutually indepedent, one of those should be included at least when detection every time
Detection process.
It is, of course, preferable to, if desired obtain the work state information of air compressor, it should obtain a complete, packet
Include the status information of each component or system.In other words, the alternative step of the combination of any of the above-described embodiment or several embodiments
Rapid S101.It may refer to Fig. 2 at this time, Fig. 2 is a kind of complete working condition of air compressor provided by the embodiment of the present application
The flow chart of detection method, detailed process can be found in the various embodiments described above, and therefore not to repeat here.
As shown in figure 3, Fig. 3 is the working state detecting method of another kind air compressor provided by the embodiment of the present application
Flow chart as preferred embodiment, after generating testing result, can also include: based on the above embodiment
It will test result and be uploaded to Internet of Things cloud platform, so that Internet of Things cloud platform is analyzed and mentioned according to testing result
For solution.
Then the working state detecting method of air compressor includes:
S201: after air compressor starting, described in the Internet of Things module that is connected with the air compressor detects
Air compressor is with the presence or absence of abnormal；If so, into S102；If it is not, then air compressor is normal；
S202: recording the exception, generates testing result；
S203: will test result and be uploaded to Internet of Things cloud platform, so that Internet of Things cloud platform is divided according to testing result
It analyses and solution is provided.
This step is intended to air compressor accessing Internet of Things cloud platform, realizes to the cloud monitoring of air compressor and cloud pipe
Reason, to realize the intelligentized control method of air compressor.After generating testing result, result can be will test and be uploaded to Internet of Things
Cloud platform, and provide testing result corresponding solution by Internet of Things cloud platform.Specifically, can be by Internet of Things cloud platform
Auto-matching testing result and solution find optimal solution, or by other clients in Internet of Things cloud platform
Solution is provided.
The application also provides a kind of computer readable storage medium, is stored thereon with computer program, computer-readable to deposit
The computer program, which is performed, in the Internet of Things module that storage media is set to inside air compressor may be implemented above-described embodiment
The step of control method of provided any air compressor.The storage medium may include: USB flash disk, mobile hard disk, read-only
Memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or
The various media that can store program code such as person's CD.
Referring to fig. 4, Fig. 5, Fig. 4 are a kind of structural schematic diagram of air compressor provided herein, and Fig. 5 is the application
The structural schematic diagram of provided another kind air compressor.The air compressor includes at least Internet of Things module, Internet of Things mould
Block includes memory and microcontroller, has computer program in memory, and microcontroller calls the computer journey in memory
Working state detecting method as above may be implemented when sequence.The memory can be Flash described above, or other
The storage medium of form.
In Fig. 5, show to may include the corresponding assembly for being directed to power supply, gas tank and digital flowmeter in Internet of Things module,
Such as electronic switch is used to obtain the information of power supply for controlling power supply closing or opening, AD conversion unit, barometer is used for
The air pressure of gas tank is detected, electronics air valve is used to control the output of gas tank, and serial ports submodule is used to obtain the flow of digital flowmeter
Information.Certainly, can also include in Internet of Things module in air compressor the setting of other work packages it is corresponding detect or
Control assembly or module different one illustrate herein.
A kind of working condition detection system of air compressor provided by the embodiment of the present application is introduced below, under
The working condition detection system of text description can correspond to each other reference with above-described working state detecting method.
Referring to Fig. 6, Fig. 6 is a kind of knot of the working condition detection module of air compressor provided by the embodiment of the present application
Structure schematic diagram.The application also provides a kind of working condition detection system of air compressor, comprising:
Abnormal judgment module 100, for detecting the setting in the air compressor after air compressor starting
Component is with the presence or absence of abnormal；
Testing result generation module 200 is when being, to record the exception for the abnormal judgment module judging result,
Generate testing result.
Based on the above embodiment, as preferred embodiment, when the assignment component is the power supply, the exception is sentenced
Disconnected module 100 may include:
First detection unit, for whether detecting the voltage of the power supply using AD conversion unit in the first preset range
It is interior；
It is abnormal to determine that the power supply exists if be judged as NO for the first detection unit for first judging unit.
Based on the above embodiment, as preferred embodiment, when the assignment component is the gas tank, the abnormal judgement
Module 100 may include:
Second detection unit, when whether the gas tank filling time for judging the air compressor is default less than first
Between；
Second judgment unit determines that there are different for the dynamical system if be judged as NO for the second detection unit
Often.
Based on the above embodiment, as preferred embodiment, when the assignment component is air-channel system, the abnormal judgement
Module 100 may include:
Third detection unit, after being full of for the gas tank, using pressure in the electronics air valve detection gas tank second
Whether become smaller in preset time；
Third judging unit determines that there are different for the air-channel system if be judged as YES for the third detection unit
Often.
Based on the above embodiment, as preferred embodiment, the assignment component is the digital flow timing, described different
Often judgment module 100 may include:
4th detection unit is used to open the electronics air valve, to start to supply, and detects the stream of the digital flowmeter
It measures whether consistent with the tolerance of the gas tank reduction；
4th judging unit determines that the digital flowmeter is abnormal if be judged as NO for the 4th detection unit.
Based on the above embodiment, as preferred embodiment, the working condition detection system can also include:
Uploading module, for the testing result to be uploaded to Internet of Things cloud platform, so that the Internet of Things cloud platform root
It is analyzed according to the testing result and solution is provided.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For embodiment provide system and
Speech, since it is corresponding with the method that embodiment provides, so being described relatively simple, related place is referring to method part illustration
?.
Specific examples are used herein to illustrate the principle and implementation manner of the present application, and above embodiments are said
It is bright to be merely used to help understand the present processes and its core concept.It should be pointed out that for the ordinary skill of the art
For personnel, under the premise of not departing from the application principle, can also to the application, some improvement and modification can also be carried out, these improvement
It is also fallen into the protection scope of the claim of this application with modification.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Claims (10)
1. a kind of working state detecting method of air compressor characterized by comprising
After air compressor starting, the Internet of Things module being connected with the air compressor detects the air compressor
In assignment component with the presence or absence of abnormal；
If so, recording the exception, testing result is generated.
2. working state detecting method according to claim 1, which is characterized in that the assignment component is the air pressure
One in the power supply of contracting machine, gas tank, air-channel system and digital flowmeter or appoint several combinations.
3. working state detecting method according to claim 2, which is characterized in that when the assignment component is the power supply
When, the Internet of Things module being connected with the air compressor detects the assignment component in the air compressor with the presence or absence of abnormal
Specifically:
The Internet of Things module being connected with the air compressor using AD conversion unit detect the power supply voltage whether
In first preset range；
If it is not, then there is exception in the power supply.
4. working state detecting method according to claim 2, which is characterized in that when the assignment component is the gas tank
When, the Internet of Things module being connected with the air compressor detects the assignment component in the air compressor with the presence or absence of abnormal
Specifically:
The Internet of Things module being connected with the air compressor judges whether the gas tank filling time of the air compressor is less than
First preset time；
If so, there is exception in the dynamical system.
5. working state detecting method according to claim 2, which is characterized in that when the assignment component is air-channel system
When, the Internet of Things module being connected with the air compressor detects the assignment component in the air compressor with the presence or absence of abnormal
Specifically:
After the gas tank is full of, the Internet of Things module being connected with the air compressor closes the electronics air valve of the gas tank, inspection
Survey whether pressure in the gas tank becomes smaller in the second preset time；
If so, there is exception in the air-channel system.
6. working state detecting method according to claim 5, which is characterized in that when the assignment component is the number
When flowmeter, the Internet of Things module being connected with the air compressor detects whether the assignment component in the air compressor is deposited
In exception specifically:
The Internet of Things module being connected with the air compressor opens the electronics air valve, to start to supply；
Whether the flow for detecting the digital flowmeter is consistent with the tolerance of the gas tank reduction；
If it is not, then the digital flowmeter is abnormal.
7. according to the described in any item working state detecting methods of claim 6, which is characterized in that after generating testing result,
Further include:
The testing result is uploaded to Internet of Things cloud platform, so that the Internet of Things cloud platform is carried out according to the testing result
It analyzes and solution is provided.
8. a kind of working condition detection system of air compressor characterized by comprising
Abnormal judgment module, for after air compressor starting, the assignment component detected in the air compressor to be
It is no to there is exception；
Testing result generation module is when being, to record the exception for the abnormal judgment module judging result, generates detection
As a result.
9. a kind of air compressor, which is characterized in that including Internet of Things module, the Internet of Things module includes memory and micro-control
Device processed, has computer program in the memory, and the microcontroller is real when calling the computer program in the memory
Now the step of working state detecting methods as described in any item such as claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that described computer-readable
Storage medium is set in the Internet of Things module inside air compressor, is realized such as when the computer program is executed by microcontroller
The step of claim 1-7 described in any item working state detecting methods.
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| CN201810997032.1A CN109113981A (en) | 2018-08-29 | 2018-08-29 | A kind of working state detecting method and relevant apparatus of air compressor |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113494446A (en) * | 2020-04-07 | 2021-10-12 | 深圳市理邦精密仪器股份有限公司 | Diaphragm pump abnormity detection method and device and medical equipment |
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