CN110046076A - Intelligent system equipment environment checking method, system, equipment and storage medium - Google Patents
Intelligent system equipment environment checking method, system, equipment and storage medium Download PDFInfo
- Publication number
- CN110046076A CN110046076A CN201910337283.1A CN201910337283A CN110046076A CN 110046076 A CN110046076 A CN 110046076A CN 201910337283 A CN201910337283 A CN 201910337283A CN 110046076 A CN110046076 A CN 110046076A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- abnormal
- monitoring data
- equipment monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 claims abstract description 109
- 230000002159 abnormal effect Effects 0.000 claims abstract description 102
- 238000007689 inspection Methods 0.000 claims description 35
- 230000015654 memory Effects 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 5
- 238000012806 monitoring device Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
- G06F11/3079—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting the data filtering being achieved by reporting only the changes of the monitored data
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The embodiment of the application discloses an intelligent system equipment environment checking method, system, equipment and a storage medium. The method comprises the following steps: establishing an abnormal critical database for storing abnormal critical data of the equipment; acquiring equipment monitoring data; comparing the equipment monitoring data with the abnormal critical data, and judging whether the equipment monitoring data is abnormal or not; and if the equipment monitors data abnormity, sending data abnormity reminding information to a preset contact terminal. According to the technical scheme, when the equipment is abnormal, the data abnormity reminding information is sent to the preset contact terminal, the preset contact can know the abnormal condition in advance, the response measures responding in advance are convenient to take, the situation that the worker needs to arrive at the site to know the abnormal reason is reduced, and the working efficiency is improved.
Description
Technical field
The invention relates to equipment monitoring field more particularly to intelligence system facility environment inspection method, system, set
It is standby and can storage medium, specially intelligence system facility environment inspection method, system, computer equipment and can storage medium.
Background technique
In the building such as hotel, since the quantity of field device is more, seem for the monitoring of field device operation environment
It is particularly important.Traditional monitoring mode is the not only inefficiency by manually being checked one by one at the scene, monitoring precision
It is difficult to ensure.
In the intelligence system of modernization, it is typically provided with the intelligent monitoring device of various monitoring device environment, such as temperature
Monitoring, voltage monitoring, current monitoring and electric power detection etc., and monitoring data can be shown at the scene, go out in system environments
When now abnormal, warning note can be carried out at the scene.
But when equipment occurs abnormal at the scene, abnormal situation can just be recognized by needing staff to reach scene, then
Corresponding measure is specified, there is a situation where under working efficiency.
Summary of the invention
The embodiment of the present application provide intelligence system facility environment inspection method, system, equipment and can storage medium, with timely
Understand the abnormal cause of equipment, predefine counter-measure, improves working efficiency.
In a first aspect, the embodiment of the present application provides intelligence system facility environment inspection method, comprising:
Establish abnormal critical data library, the abnormal critical data for storage facilities；
Obtain equipment monitoring data；
Equipment monitoring data are compared with abnormal critical data, judge whether equipment monitoring data are abnormal；
If equipment monitoring data exception, data exception prompting message is issued to default connection terminal.
Further, further includes:
Normality database is established, the normality variation tendency range data for storage facilities；
Obtain the real-time change trend data of equipment monitoring data within a preset time；
The real-time change trend data of equipment monitoring data is compared with normality variation tendency range data, judgement is set
Whether standby variation tendency is abnormal；
If equipment variations trend anomaly, trend anomaly prompting message is issued to default connection terminal.
Further, the real-time change trend data of equipment monitoring data within a preset time that obtains includes:
Using preset time as interval, equipment monitoring data are obtained；
Calculate the slope of equipment monitoring data between adjacent time point.
Further, it is described judge equipment variations trend whether include: extremely
The frequency of abnormity of real-time change trend data is counted；
When real-time change trend data exceeds normality variation tendency range data, counting is carried out plus one is handled；
When real-time change trend data is without departing from normality variation tendency range data, processing is zeroed out to counting；
When counting reaches default value, equipment variations trend anomaly is judged.
Further, the preset time is provided with several groups, and the time span of the preset time of difference group is different, respectively
Obtain real-time change trend data of the equipment monitoring data in different groups of preset time.
Further, in equipment monitoring data exception, timing is carried out to the abnormal duration of equipment monitoring data exception, and
When length reaches preset critical duration when abnormal, abnormal overtime prompting message is sent to default responsible terminal.
In second aspect, the embodiment of the present application provides intelligence system facility environment and checks system, comprising:
Abnormal critical data library, the abnormal critical data for storage facilities；
Monitoring data obtain module, for obtaining equipment monitoring data；
Critical anomaly detection module judges Supervision for being compared equipment monitoring data with abnormal critical data
Whether measured data is abnormal；
Unit exception reminding module, for issuing data exception to default connection terminal in equipment monitoring data exception
Prompting message.
Further, further includes:
Normality database, the normality variation tendency range data for storage facilities；
Variation tendency obtains module, for obtaining the real-time change trend data of equipment monitoring data within a preset time；
Trend anomaly judgment module, for by the real-time change trend data of equipment monitoring data and normality variation tendency model
It encloses data to be compared, judges whether equipment variations trend is abnormal；
Trend anomaly reminding module, for issuing trend anomaly to default connection terminal in equipment variations trend anomaly
Prompting message.
In the third aspect, the embodiment of the present application provides a kind of computer equipment, including memory, processor and storage
In the memory and the computer program that can run on the processor, the processor execute the computer program
Shi Shixian intelligence system facility environment inspection method as described in any one of the above embodiments.
In fourth aspect, the embodiment of the present application provides a kind of storage medium comprising computer executable instructions, described
Computer executable instructions by computer processor when being executed for executing intelligence system equipment ring as described in relation to the first aspect
Border inspection method.
The embodiment of the present application is by issuing data exception prompting message to default connection terminal when equipment occurs abnormal, in advance
If contact person can in advance understand abnormal conditions, the convenient counter-measure responded in advance, reduction needs staff
Scene is reached the case where will appreciate that abnormal cause, improves working efficiency.
Detailed description of the invention
Fig. 1 is the flow chart of intelligence system facility environment inspection method provided by the embodiments of the present application；
Fig. 2 is the flow chart of another intelligence system facility environment inspection method provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram that intelligence system facility environment provided by the embodiments of the present application checks system；
Fig. 4 is the structural schematic diagram of computer equipment provided by the embodiments of the present application.
Specific embodiment
It is specifically real to the application with reference to the accompanying drawing in order to keep the purposes, technical schemes and advantages of the application clearer
Example is applied to be described in further detail.It is understood that specific embodiment described herein is used only for explaining the application,
Rather than the restriction to the application.It also should be noted that illustrating only for ease of description, in attached drawing related to the application
Part rather than full content.It should be mentioned that some exemplary realities before exemplary embodiment is discussed in greater detail
It applies example and is described as the processing or method described as flow chart.Although operations (or step) are described as sequence by flow chart
Processing, but many of these operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations
It can be rearranged.The processing can be terminated when its operations are completed, be not included in attached drawing it is also possible to have
Additional step.The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Fig. 1 gives the flow chart of intelligence system facility environment inspection method provided by the embodiments of the present application, the present embodiment
The intelligence system facility environment inspection method of offer can be executed by intelligence system facility environment inspection system, the intelligence system
Facility environment checks that system can be realized by way of hardware and/or software, and is integrated in computer or cloud system.Specifically
, computer has the function of communicating with the intelligent monitoring device of field device, is such as connect by bus, RS485, RS232, RJ45
The wired and or wireless communications mode such as mouth, WiFi, ZigBee and/or network is communicatively coupled.
It is following to be described so that computer executes intelligence system facility environment inspection method as an example.With reference to Fig. 1, this method packet
It includes:
S110: abnormal critical data library, the abnormal critical data for storage facilities are established.
Specifically, the abnormal critical data of equipment is interpreted as equipment work number of the corresponding equipment when just occurring abnormal
According to, such as temperature, voltage, electric current, electricity, it includes the bounds of corresponding data type.Abnormal critical data can be by artificial
Input is saved by other systems or be directed into abnormal critical data library, and can be to the exception in abnormal critical data library
Critical data is edited.
S120: equipment monitoring data are obtained.
Specifically, the equipment monitoring number that the intelligent monitoring device that computer obtains scene through wired or wireless mode provides
According to.
S130: equipment monitoring data are compared with abnormal critical data, judge whether equipment monitoring data are abnormal.
Specifically, type of the computer according to the equipment monitoring data received, is transferred corresponding in abnormal critical data library
The abnormal critical data of type, and monitoring data are compared with abnormal critical data, reach or surpass in equipment monitoring data
When for corresponding abnormal critical data, such as at or below the lower limit of abnormal critical data, reach at or above abnormal critical number
According to the upper limit, then judge equipment monitoring data exception, otherwise judge that equipment monitoring data are normal.
S140: if equipment monitoring data exception, data exception prompting message is issued to default connection terminal.
Specifically, when judging equipment monitoring data exception, default connection terminal that computer is carried to default contact person
Data exception prompting message is sent, data exception prompting message includes that equipment essential information, Exception Type and correspondence are abnormal
Equipment monitoring data.Default connection terminal can carry for mobile phone, plate or computer and by default contact person, preset contact person
It can be the maintenance personnel of field device, default connection terminal can be reminded by short message, voice or internet message.
It is above-mentioned, data exception prompting message is issued to default connection terminal when equipment occurs abnormal, default contact person can
Abnormal conditions are understood in advance, the convenient counter-measure responded in advance, reduction needs staff to reach live exist
The case where will appreciate that abnormal cause improves working efficiency.
On the basis of the above embodiments, Fig. 2 gives another intelligence system equipment ring provided by the embodiments of the present application
The flow chart of border inspection method.The intelligence system facility environment inspection method is to above-mentioned intelligence system facility environment inspection method
Materialization.With reference to Fig. 2, which includes:
S210: abnormal critical data library, the abnormal critical data for storage facilities are established.
Specifically, for different types of equipment, need the data type monitored be it is different, respectively to inhomogeneity
The corresponding abnormal critical data type of the monitoring data type setting of the corresponding intelligent monitoring device of the equipment of type.And in difference
To equipment requirement, there are difference in site environment, respectively to the corresponding abnormal critical number of equipment setting in varying environment
According to.Abnormal critical data further includes the id information of equipment.
S220: equipment monitoring data are obtained.
Specifically, obtaining the monitoring data of each equipment from the intelligent monitoring device at scene, and include in monitoring data
The id information of equipment, it is convenient that the type of equipment and position are distinguished.
S230: equipment monitoring data are compared with abnormal critical data, judge whether equipment monitoring data are abnormal.
Specifically, it is right in abnormal critical data library to transfer according to the type and id information of the equipment monitoring data received
The abnormal critical data of type and id information is answered, and monitoring data are compared with abnormal critical data, in equipment monitoring number
When according to reaching or exceed corresponding abnormal critical data, judge that equipment detection data is abnormal.
S240: if equipment monitoring data exception, data exception prompting message is issued to default connection terminal.
Specifically, data exception prompting message is issued to default connection terminal when equipment monitoring data occur abnormal, it is right
Default contact person reminds, and data exception prompting message should include at least one of following information: equipment essential information, ID letter
Breath, data exception time, Exception Type and the corresponding equipment monitoring data being abnormal.
S250: in equipment monitoring data exception, timing is carried out to the abnormal duration of equipment monitoring data exception, and different
When Chang Shichang reaches preset critical duration, abnormal overtime prompting message is sent to default responsible terminal.
Illustratively, it for the equipment of different type or different location, settable different critical duration, and saves to different
In normal critical data library.When length reaches preset critical duration when abnormal, abnormal overtime prompting is sent to default responsible terminal
Information, to remind the attention of default responsible person.Default responsible terminal can be taken for mobile phone, plate or computer and by default responsible person
Band, default contact person can be the responsible person of field device, preset responsible terminal can by short message, voice or internet message into
Row is reminded.
S260: establishing normality database, the normality variation tendency range data for storage facilities.
Specifically, what the monitoring data that the normality variation tendency range data of equipment is interpreted as corresponding equipment worked normally
Variation tendency range, the monitoring data variation tendency of equipment within this range when do not influence the normal work of equipment.The application is real
The normality variation tendency range data for applying equipment in example is the slope range for corresponding to the monitoring data of equipment and working normally, and normality becomes
Change trend range data can be saved by being manually entered or by other systems or be directed into normality database, and can be to normal
Normality variation tendency range data in state database is edited.
S270: the real-time change trend data of equipment monitoring data within a preset time is obtained.
Illustratively, equipment monitoring data are obtained and calculate its real-time change trend data in preset time (such as 1s)
It include: to obtain equipment monitoring data using preset time as interval；Calculate the slope of equipment monitoring data between adjacent time point.
The slope of equipment monitoring data is that equipment monitoring data are within a preset time in the embodiment of the present application between adjacent time point
Real-time change trend data.
Optionally, preset time is provided with several groups, and the time span of the preset time of difference group is different, obtains set respectively
Standby real-time change trend data of the monitoring data in different groups of preset time.Illustratively, for an equipment, can exist
There is the case where intermittent variation, will appear monitoring data in a period of change during variation in monitoring data
The gentle situation of variation tendency can cause the case where judging incorrectly to the whole real-time change trend of equipment monitoring data.For
Same equipment obtains multiple real-time change trend datas of different time length, whether abnormal carries out equipment variations trend respectively
Judgement, when real-time change trend data exceeds the range of normality variation tendency range data in wherein one group of preset time, i.e.,
Judge that the real-time change trend data of corresponding equipment is abnormal.
S280: the real-time change trend data of equipment monitoring data is compared with normality variation tendency range data,
Judge whether equipment variations trend is abnormal.
Specifically, judge equipment variations trend whether include: extremely
The frequency of abnormity of real-time change trend data is counted；Become in real-time change trend data beyond normality variation
When gesture range data, counting is carried out plus one is handled；In real-time change trend data without departing from normality variation tendency range data
When, processing is zeroed out to counting；When counting reaches default value, equipment variations trend anomaly is judged.
Illustratively, the real-time change trend data that the exception of real-time change trend data is interpreted as corresponding equipment exceeds
The range of normality variation tendency range data.Assuming that default value is 2, and the frequency of abnormity of current device is denoted as 0 time；If
When this judges real-time change trend data for exception, the frequency of abnormity of corresponding equipment is denoted as 1 time；If next once according to
So judge that the frequency of abnormity of corresponding equipment is denoted as 2 times by real-time change trend data to be abnormal, and judges that equipment variations trend is different
Often；If next once judge real-time change trend data be it is normal, i.e., the real-time change trend data of equipment normality change
In the range of change trend range data, the frequency of abnormity of corresponding equipment is denoted as 0 time.
S290: if equipment variations trend anomaly, trend anomaly prompting message is issued to default connection terminal.
Specifically, trend anomaly prompting message is issued to default connection terminal, to default in equipment variations trend anomaly
Contact person reminds, trend anomaly prompting message should include following information at least one: equipment essential information, id information,
Trend anomaly time, Exception Type and the corresponding real-time change trend data being abnormal.
Illustratively, it is assumed that the critical current 8A in the abnormal critical data of certain equipment, normality variation tendency range data
Curent change trend range be 0~0.2 (A/s)；When obtaining equipment monitoring data, if detecting, the real-time current of equipment is
6A, then equipment monitoring data are normal, if detecting, the real-time current of equipment is 10A, monitoring device exception judged, to default
It is that terminal issues data exception prompting message.
Assuming that default value is 2 in the judging of equipment variations trend, and the frequency of abnormity of current device is denoted as 0 time, last time
Real-time current is 6A in equipment monitoring data；If real-time current is 6.3A, real-time change trend in this equipment monitoring data
Data are 0.3 (A/s), and the range beyond normality variation tendency range data judges that real-time change trend data, will be right to be abnormal
The frequency of abnormity of equipment is answered to be denoted as 1 time.Next in two kinds of situation:
If real-time current is 6.6A in following primary equipment monitoring data, real-time change trend data is 0.3 (A/
S), the range beyond normality variation tendency range data still judges real-time change trend data to be abnormal, by corresponding equipment
Frequency of abnormity is denoted as 2 times, and judges equipment variations trend anomaly, and issues trend anomaly prompting message to default connection terminal；
If real-time current is 6.1A in following primary equipment monitoring data, real-time change trend data is 0.1 (A/
S), in the range of normality variation tendency range data, judge real-time change trend data be it is normal, i.e. the real-time change of equipment becomes
The frequency of abnormity of corresponding equipment is denoted as 0 time by gesture data in the range of normality variation tendency range data.
It is above-mentioned, data exception, which is issued, to default connection terminal when exception occurs in equipment or variation tendency occurs abnormal reminds
Information or trend anomaly prompting message, default contact person can in advance understand abnormal conditions, conveniently respond in advance
Counter-measure, reduction need staff to reach scene the case where will appreciate that abnormal cause, improve working efficiency.
On the basis of the above embodiments, Fig. 3 is that intelligence system facility environment provided by the embodiments of the present application checks system
Structural schematic diagram.With reference to Fig. 3, intelligence system facility environment provided in this embodiment checks that system specifically includes: abnormal critical
Database 31, monitoring data obtain module 32, Critical anomaly detection module 33 and unit exception reminding module 34.
Wherein, abnormal critical data library 31, the abnormal critical data for storage facilities；Monitoring data obtain module 32,
Equipment monitoring data are obtained for the intelligent monitoring device through scene；Critical anomaly detection module 33 is used for equipment monitoring number
It is compared according to abnormal critical data, judges whether equipment monitoring data are abnormal；Unit exception reminding module 34, for setting
When standby monitoring data exception, data exception prompting message is issued to default connection terminal.
It is above-mentioned, data exception prompting message is issued to default connection terminal when the monitoring data of equipment occur abnormal, in advance
If contact person can in advance understand abnormal conditions, the convenient counter-measure responded in advance, reduction needs staff
Scene is reached the case where will appreciate that abnormal cause.
Further, further includes: normality database 35, the normality variation tendency range data for storage facilities；Variation
Trend obtains module 36, for obtaining module 32 through monitoring data and calculating the real-time change of equipment monitoring data within a preset time
Change trend data；Trend anomaly judgment module 37, for changing the real-time change trend data of equipment monitoring data and normality
Trend range data is compared, and judges whether equipment variations trend is abnormal；Trend anomaly reminding module 38, for becoming in equipment
When changing trend anomaly, trend anomaly prompting message is issued to default connection terminal.
It is provided by the above embodiment that intelligence system facility environment provided by the embodiments of the present application checks that system can be used for executing
Intelligence system facility environment inspection method, has corresponding function and beneficial effect.
The embodiment of the present application provides a kind of computer equipment, and can integrate the embodiment of the present application in the computer equipment and mention
The intelligence system facility environment of confession checks system.Fig. 4 is the structural schematic diagram of computer equipment provided by the embodiments of the present application.Ginseng
Examine Fig. 4, the computer equipment include: display screen 44, communication module 43, input unit 45, output device 46, memory 42 and
One or more processors 41, in Fig. 4 by taking a processor 41 as an example；Memory 42, for storing one or more programs；When
One or more programs are executed by one or more processors 41, so that one or more processors 41 realize above-described embodiment
Intelligence system facility environment inspection method.The processor 41 of the computer equipment, memory 42, communication module 43, display screen 44,
Input unit 45 and output device 46 can be connected by bus or other modes, in Fig. 4 for being connected by bus.
Memory 42 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer
Sequence and module, the corresponding program instruction/mould of intelligence system facility environment inspection method as described in the application any embodiment
Block is (for example, abnormal critical data library 31 in intelligence system facility environment inspection system, monitoring data obtain module 32, critical
Abnormality detection module 33 and unit exception reminding module 34).Memory 42 can mainly include storing program area and storage data area,
Wherein, storing program area can application program needed for storage program area, at least one function；Storage data area can store basis
Equipment uses created data etc..In addition, memory 42 may include high-speed random access memory 42, can also include
Nonvolatile memory 42, for example, at least a magnetic disk storage 42, flush memory device or other non-volatile solid state memories
42.In some instances, memory 42 can further comprise the memory 42 remotely located relative to processor 41, these are remote
Journey memory 42 can pass through network connection to equipment.The example of above-mentioned network include but is not limited to internet, intranet,
Local area network, mobile radio communication and combinations thereof.
Software program, instruction and the module that processor 41 is stored in memory 42 by operation, thereby executing equipment
Various function application and data processing, that is, realize above-mentioned intelligence system facility environment inspection method.
The computer equipment of above-mentioned offer can be used for executing intelligence system facility environment reviewing party provided by the above embodiment
Method has corresponding function and beneficial effect.
The embodiment of the present application also provides a kind of storage medium comprising computer executable instructions, and the computer is executable
Instruction is used to execute intelligence system facility environment inspection method when being executed by computer processor 41, the intelligence system equipment ring
Border inspection method includes: to establish abnormal critical data library 31, the abnormal critical data for storage facilities；Obtain equipment monitoring number
According to；Equipment monitoring data are compared with abnormal critical data, judge whether equipment monitoring data are abnormal；If equipment monitoring number
According to exception, then data exception prompting message is issued to default connection terminal.
Storage medium --- any 42 equipment of various types of memories or storage equipment.Term " storage medium " is intended to
It include: install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory 42 or random access memory 42,
Such as DRAM, DDR RAM, SRAM, EDO RAM, Lan Basi (Rambus) RAM etc.；Nonvolatile memory 42, such as flash memory,
Magnetic medium (such as hard disk or optical storage)；Register or 42 element of memory of other similar types etc..Storage medium can be also
Including other types of memory 42 or combinations thereof.In addition, storage medium can be located at program in the first meter being wherein performed
In calculation machine system, or it can be located in different second computer systems, second computer system is by network (such as because of spy
Net) it is connected to first computer system.Second computer system can provide program instruction to the first computer for executing.Art
Language " storage medium " may include may reside in different location (such as by network connection different computer systems
In) two or more storage mediums.Storage medium can store the program instruction that can be executed by one or more processors 41
(such as being implemented as computer program).
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present application
The intelligence system facility environment inspection method that executable instruction is not limited to the described above, can also be performed the application any embodiment
Relevant operation in provided intelligence system facility environment inspection method.
The intelligence system facility environment provided in above-described embodiment checks that this Shen can be performed in system, computer and storage medium
Please intelligence system facility environment inspection method provided by any embodiment, the technology of detailed description is not thin in the above-described embodiments
Section, reference can be made to intelligence system facility environment inspection method provided by the application any embodiment.
The technical principle that above are only the preferred embodiment of the application and used.The application is not limited to spy described here
Determine embodiment, various significant changes, readjustment and the substitution being able to carry out for a person skilled in the art are not departing from
The protection scope of the application.Therefore, although being described in further detail by above embodiments to the application, this Shen
Above embodiments please be not limited only to, can also include other more equivalence enforcements in the case where not departing from the application design
Example, and scope of the present application is determined by the scope of the claims.
Claims (10)
1. intelligence system facility environment inspection method characterized by comprising
Establish abnormal critical data library, the abnormal critical data for storage facilities；
Obtain equipment monitoring data；
Equipment monitoring data are compared with abnormal critical data, judge whether equipment monitoring data are abnormal；
If equipment monitoring data exception, data exception prompting message is issued to default connection terminal.
2. intelligence system facility environment inspection method according to claim 1, which is characterized in that further include:
Normality database is established, the normality variation tendency range data for storage facilities；
Obtain the real-time change trend data of equipment monitoring data within a preset time；
The real-time change trend data of equipment monitoring data is compared with normality variation tendency range data, judges that equipment becomes
Whether change trend is abnormal；
If equipment variations trend anomaly, trend anomaly prompting message is issued to default connection terminal.
3. intelligence system facility environment inspection method according to claim 2, which is characterized in that the acquisition equipment monitoring
The real-time change trend data of data within a preset time includes:
Using preset time as interval, equipment monitoring data are obtained；
Calculate the slope of equipment monitoring data between adjacent time point.
4. intelligence system facility environment inspection method according to claim 2, which is characterized in that the judgement equipment variations
Trend whether include: extremely
The frequency of abnormity of real-time change trend data is counted；
When real-time change trend data exceeds normality variation tendency range data, counting is carried out plus one is handled；
When real-time change trend data is without departing from normality variation tendency range data, processing is zeroed out to counting；
When counting reaches default value, equipment variations trend anomaly is judged.
5. intelligence system facility environment inspection method according to claim 3, which is characterized in that the preset time setting
There are a several groups, the time span of the preset times of difference group is different, obtains equipment monitoring data respectively in different groups default
Interior real-time change trend data.
6. intelligence system facility environment inspection method according to claim 1, which is characterized in that different in equipment monitoring data
Chang Shi carries out timing to the abnormal duration of equipment monitoring data exception, and long when reaching preset critical duration when abnormal, to
Default responsible terminal sends abnormal overtime prompting message.
7. intelligence system facility environment checks system characterized by comprising
Abnormal critical data library, the abnormal critical data for storage facilities；
Monitoring data obtain module, for obtaining equipment monitoring data；
Critical anomaly detection module judges equipment monitoring number for being compared equipment monitoring data with abnormal critical data
According to whether abnormal；
Unit exception reminding module, for issuing data exception to default connection terminal and reminding in equipment monitoring data exception
Information.
8. intelligence system facility environment according to claim 7 checks system, which is characterized in that further include:
Normality database, the normality variation tendency range data for storage facilities；
Variation tendency obtains module, for obtaining the real-time change trend data of equipment monitoring data within a preset time；
Trend anomaly judgment module, for by the real-time change trend data of equipment monitoring data and normality variation tendency range number
According to being compared, judge whether equipment variations trend is abnormal；
Trend anomaly reminding module, for issuing trend anomaly to default connection terminal and reminding in equipment variations trend anomaly
Information.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
6 described in any item intelligence system facility environment inspection methods.
10. a kind of storage medium comprising computer executable instructions, which is characterized in that the computer executable instructions by
For executing the intelligence system facility environment inspection method as described in claim 1-6 is any when computer processor executes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910337283.1A CN110046076A (en) | 2019-04-25 | 2019-04-25 | Intelligent system equipment environment checking method, system, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910337283.1A CN110046076A (en) | 2019-04-25 | 2019-04-25 | Intelligent system equipment environment checking method, system, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110046076A true CN110046076A (en) | 2019-07-23 |
Family
ID=67279222
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910337283.1A Pending CN110046076A (en) | 2019-04-25 | 2019-04-25 | Intelligent system equipment environment checking method, system, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110046076A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111459759A (en) * | 2020-03-31 | 2020-07-28 | Oppo广东移动通信有限公司 | Electronic device, method for managing application program thereof, and computer storage medium |
| CN112232765A (en) * | 2020-10-14 | 2021-01-15 | 广东电网有限责任公司 | Personnel reminding method and device, electronic equipment and storage medium |
| CN112667678A (en) * | 2020-12-16 | 2021-04-16 | 珠海格力电器股份有限公司 | Energy data abnormity determining method and device and intelligent energy management system |
| CN112684133A (en) * | 2020-12-18 | 2021-04-20 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
| CN112749305A (en) * | 2020-12-31 | 2021-05-04 | 广州风创科技有限公司 | Monitoring data management method, system, equipment and medium based on artificial intelligence |
| CN113049935A (en) * | 2021-03-04 | 2021-06-29 | 长鑫存储技术有限公司 | Semiconductor intelligent detection system, intelligent detection method and storage medium |
| CN113867262A (en) * | 2020-06-30 | 2021-12-31 | 华晨宝马汽车有限公司 | Apparatus, method and medium for monitoring operation state of spindle device |
| CN115277484A (en) * | 2022-06-02 | 2022-11-01 | 广州番禺电缆集团有限公司 | Intelligent cable capable of dynamically feeding back monitoring information |
| CN115575578A (en) * | 2022-10-17 | 2023-01-06 | 浙江古信检测技术有限公司 | Environment monitoring method and system for warehouse and storage medium |
| CN116111731A (en) * | 2023-04-13 | 2023-05-12 | 东莞先知大数据有限公司 | Distributed energy storage equipment abnormality determination method, device, equipment and medium |
| CN117933827A (en) * | 2024-03-13 | 2024-04-26 | 深圳市吉方工控有限公司 | Computer terminal industrial control information data processing method, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101281486A (en) * | 2007-04-04 | 2008-10-08 | 英业达股份有限公司 | Method for monitoring system environment |
| US20090273470A1 (en) * | 2008-03-21 | 2009-11-05 | Vytas Sinkevicius | Environmental monitoring and control system |
| JP2010250401A (en) * | 2009-04-13 | 2010-11-04 | Toppan Printing Co Ltd | Tendency monitoring system |
| CN108805359A (en) * | 2018-06-15 | 2018-11-13 | 新奥泛能网络科技有限公司 | A kind of failure pre-judging method and device |
-
2019
- 2019-04-25 CN CN201910337283.1A patent/CN110046076A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101281486A (en) * | 2007-04-04 | 2008-10-08 | 英业达股份有限公司 | Method for monitoring system environment |
| US20090273470A1 (en) * | 2008-03-21 | 2009-11-05 | Vytas Sinkevicius | Environmental monitoring and control system |
| JP2010250401A (en) * | 2009-04-13 | 2010-11-04 | Toppan Printing Co Ltd | Tendency monitoring system |
| CN108805359A (en) * | 2018-06-15 | 2018-11-13 | 新奥泛能网络科技有限公司 | A kind of failure pre-judging method and device |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111459759A (en) * | 2020-03-31 | 2020-07-28 | Oppo广东移动通信有限公司 | Electronic device, method for managing application program thereof, and computer storage medium |
| CN113867262A (en) * | 2020-06-30 | 2021-12-31 | 华晨宝马汽车有限公司 | Apparatus, method and medium for monitoring operation state of spindle device |
| CN112232765A (en) * | 2020-10-14 | 2021-01-15 | 广东电网有限责任公司 | Personnel reminding method and device, electronic equipment and storage medium |
| CN112667678A (en) * | 2020-12-16 | 2021-04-16 | 珠海格力电器股份有限公司 | Energy data abnormity determining method and device and intelligent energy management system |
| CN112684133A (en) * | 2020-12-18 | 2021-04-20 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
| CN112684133B (en) * | 2020-12-18 | 2023-02-10 | 南京大博环境监测科技有限公司 | Water quality monitoring and early warning method and system based on big data platform and storage medium |
| CN112749305A (en) * | 2020-12-31 | 2021-05-04 | 广州风创科技有限公司 | Monitoring data management method, system, equipment and medium based on artificial intelligence |
| CN113049935A (en) * | 2021-03-04 | 2021-06-29 | 长鑫存储技术有限公司 | Semiconductor intelligent detection system, intelligent detection method and storage medium |
| CN115277484A (en) * | 2022-06-02 | 2022-11-01 | 广州番禺电缆集团有限公司 | Intelligent cable capable of dynamically feeding back monitoring information |
| CN115277484B (en) * | 2022-06-02 | 2023-12-19 | 广州番禺电缆集团有限公司 | Intelligent cable of dynamic feedback monitoring information |
| CN115575578A (en) * | 2022-10-17 | 2023-01-06 | 浙江古信检测技术有限公司 | Environment monitoring method and system for warehouse and storage medium |
| CN115575578B (en) * | 2022-10-17 | 2023-08-04 | 浙江古信检测技术有限公司 | Environment monitoring method, system and storage medium for warehouse |
| CN116111731A (en) * | 2023-04-13 | 2023-05-12 | 东莞先知大数据有限公司 | Distributed energy storage equipment abnormality determination method, device, equipment and medium |
| CN117933827A (en) * | 2024-03-13 | 2024-04-26 | 深圳市吉方工控有限公司 | Computer terminal industrial control information data processing method, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110046076A (en) | Intelligent system equipment environment checking method, system, equipment and storage medium | |
| CN111474865A (en) | Dormancy awakening test system for intelligent vehicle-mounted terminal controller | |
| US10692302B2 (en) | Servicing schedule method based on prediction of degradation in electrified vehicles | |
| US11685281B2 (en) | Demand flexibility optimizing scheduler for EV charging and controlling appliances | |
| CN108510242B (en) | Work order processing method, system and terminal equipment | |
| CN102223264A (en) | Alarm processing method and alarm processing system for monitoring system | |
| US20240037677A1 (en) | Method for power consumption analysis and troubleshooting of production line based on industrial internet of things, system and storage medium thereof | |
| CN109615817A (en) | Monitoring system combines alarm method, device, electronic equipment and storage medium | |
| CN104122508A (en) | Online monitoring method for backup power supply system of intelligent power distribution terminal | |
| CN111583622A (en) | Metering information distribution processing system and method of double-core intelligent ammeter management unit | |
| CN103020721B (en) | A kind of method assessing automation system for the power network dispatching real time data processing efficiency | |
| CN110611371A (en) | System and method for testing time setting and timekeeping of distribution automation equipment | |
| CN113074783A (en) | Lighthouse type industrial equipment monitoring method and device | |
| CN115685050A (en) | Electric energy meter fault detection method and system | |
| CN105159162B (en) | The processing method of non-metering data in metering system | |
| CN117094852A (en) | Energy monitoring system and method for industrial and commercial energy storage | |
| TWI590180B (en) | Error detection system, error detection method and power management system | |
| CN106935008B (en) | Ad hoc network method of meter reading system | |
| CN103532937A (en) | Application identification verifying method and device | |
| CN111650909A (en) | Intelligent control system and method for sewage treatment process, readable storage medium and device | |
| US20170278025A1 (en) | Energy management method, energy management device, switching device for an energy management device, and computer software product | |
| AU2020284174A1 (en) | Distributed energy resource registration | |
| CN205912071U (en) | Power station onCall SMS alarm system operating condition automatic checkout device | |
| CN104076725A (en) | Cash-counting machine operating state monitoring method, device and system | |
| CN113240332B (en) | Operation management method and device for power distribution system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190723 |