CN110262313A - Power Material key point remote supervision system based on technology of Internet of things - Google Patents
Power Material key point remote supervision system based on technology of Internet of things Download PDFInfo
- Publication number
- CN110262313A CN110262313A CN201910443804.1A CN201910443804A CN110262313A CN 110262313 A CN110262313 A CN 110262313A CN 201910443804 A CN201910443804 A CN 201910443804A CN 110262313 A CN110262313 A CN 110262313A
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- degree
- deviation
- real time
- 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.)
- Granted
Links
Classifications
-
- 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Abstract
The invention proposes the Power Material key point remote supervision system based on technology of Internet of things, which includes data acquisition module, data analysis module, data intelligence alarm module and intelligent terminal module；The monitoring data of collected different types of data are converted into unified data format by data acquisition module, after encryption, are sent to cloud.The monitoring data of different types of data include monitoring the data of real time data, the data of conductor resistance and the development length that insulate.The data of data analysis module data collecting module collected are compared with nominal value, obtain the degree of deviation；When degree of deviation data are greater than threshold value, alarm.The present invention forms the qualitative materiel new pattern of management of advanced control, real-time monitoring, intellectual analysis, the inspection of process pipe, realize Power Material from many ways about when scene witness to long-range real-time automatic monitoring, passive lag supervision is supervised to active, personnel labor intensity and cost of labor are reduced, the efficiency of qualitative materiel management is improved.
Description
Technical field
The invention belongs to Power Material quality monitoring technology fields, in particular to the Power Material based on technology of Internet of things closes
Key point remote supervision system.
Background technique
Handling of goods and materials work is the important support of power grid construction and production, and goods and materials intensive management is exactly can from Guo Wang company
Plan as a whole to plan in the strategic height of sustainable development, intensive management, maximum benefit is obtained with the smallest cost.The safety of power grid is steady
Fixed operation depends on that quality is superior, good Power Material, reinforces the qualitative materiel control work that entire power grid uses, is to do well
Handling of goods and materials and basis and the guarantee for improving power network safety operation, it is most important.The guarantee of material supply quality, undoubtedly shadow
Ring the lasting stabilization of entire power grid security.
Power Material key point refers to the key point of Power Material quality exfactory inspection, and at this stage, qualitative materiel manages shape
Formula is severe, is only limitted to key point witness work for the qualitative materiel control of 220kV and following valuable cargo supplier production phase
Make, and the control of the production phase quality of 10KV big for amount of purchase, key project and following distribution class goods and materials is still blank.
The mode of qualitative materiel management mode lag, at present qualitative materiel management is traditional sampling observation mode, by goods and materials matter
The drawbacks such as amount administrative staff remove field sampling, and there are places to disperse, sampling efficiency is low, sample covering surface is small.In this sampling observation mould
Under formula, the risk that unqualified goods and materials flow into power grid is larger, brings hidden danger to the safe and reliable operation of power grid.Quality control officer's labor
Fatigue resistance is big, currently, the emphasis equipment in Power Material need inventory managers to scene carry out critical process witness work,
The human and material resources of consuming, financial resources are more, and place dispersion, the especially projects such as the capital construction of Jinan Area power grid, technological transformation, overhaul are year by year
Increase, the purchase of goods and materials amount of money rises year by year, and witness workload increased dramatically, and average witness every time at least needs 2 person-times, time-consuming 3
It/people, and scene witness, list record, account establishment, data to arrange filing etc. are both needed to manual operation under line；Such as more confessions
It answers quotient while critical process being needed to witness work, then lead to that person works' intensity is big, the working time is tight, it is difficult to meet business need
It asks, influences schedule of deliveries.
Summary of the invention
The invention proposes the Power Material key point remote supervision systems based on technology of Internet of things.Realize Power Material from
Scene witness is to long-range real-time automatic monitoring when in many ways about, and passively lag is supervised to actively supervision.
To achieve the goals above, the Power Material key point proposed by the present invention based on technology of Internet of things, which remotely monitors, is
System, the remote supervision system includes data acquisition module, data analysis module；
The data acquisition module is communicated by RS485 communication interface with monitoring device, by collected different data class
The monitoring data of type are stored in different memory or database respectively, are then converted into the monitoring data of different types of data
Unified data format, using DES to the data encryption of the unified data format after, be sent to cloud；The difference number
Monitoring data according to type include monitoring the data of real time data, the data of conductor resistance and the development length that insulate；
The data analysis module will monitor real time data and be compared with the nominal value for detecting real time data, obtain monitoring
The degree of deviation of real time data；The nominal value of optimization conductor resistance obtains the second nominal value, by the data of conductor resistance and the second mark
Title value compares, and obtains the degree of deviation of the data of conductor resistance；By the data for the development length that insulate and the nominal of development length of insulating
Value compares, and obtains the degree of deviation of insulation development length.
Further, the remote supervision system further includes data intelligence alarm module and intelligent terminal module；
Data intelligence alarm module is used to obtain the degree of deviation, the conductor for the monitoring real time data that data analysis module analyzes
The degree of deviation of the degree of deviation of the data of resistance, the development length that insulate；When the degree of deviation, the data of conductor resistance of monitoring real time data
The degree of deviation and insulation development length degree of deviation any data be greater than threshold value when, alarm；
The intelligent terminal module is used to that different logon rights to be arranged, and right in real time with the monitoring data of Power Material
It connects, checks the variation tendency of monitoring data, and information is pushed to related personnel after the alarm of data intelligence alarm module.
Further, to the processing method of monitoring real time data are as follows: monitoring real time data is stored in PLC memory, it is defeated in PLC
Outgoing interface configures APU2004 module；PLC is exported monitoring real time data by the APU2004 module, and APU2004 is arrived in storage in batches
Local, each batch generates the first number, and first number is also stored with monitoring real time data simultaneously simultaneously.
Further, to the method for the data processing of conductor resistance are as follows: DC3000 system stores the data of conductor resistance
To relevant database, multiple tables of relevant database are read, form unified data format, and second generated for data
Number；
The DC3000 system is the hot elongation test instrument parameter setting of cable insulation jacket and computing system.
Further, to the processing method of the data of insulation development length are as follows: QJ36B-2 system is by the development length that insulate
Data are stored to file based database application；After the data of conductor resistance and insulation development length are replicated, uniform data lattice are formed
Formula is stored on hard disk for the third number of the data generation for the development length that insulate；
The QJ36B-2 system is the resistance test instrument of cable, electric wire.
Further, after using DES to the data encryption of the unified data format, the method for being sent to cloud is,
Data acquisition module is sent to cloud according to the sequence of the first number, the second number or third number one by one；The cloud pair
N item record is received in unit time sends N acknowledged sequence number immediately to data acquisition module.
Further, the method that the nominal value of the optimization conductor resistance obtains the second nominal value are as follows: by original nominal value
It is made into training set according to detection record, carries out self study using TensorFlow；Then, it is obtained using secondary cost function Square
Deviation is taken, declines optimizer adjusting and optimizing parameter in conjunction with gradient；
The formula nominal value of the self study is R=w1*c+w2*d+b, and wherein w1 and w2 is weight, and c is temperature, and d is
Humidity, b are biasing.
Further, the calculation method of the degree of deviation of the monitoring real time data are as follows:
The degree of deviation of the data of the conductor resistance are as follows:
The degree of deviation of the insulation development length are as follows:
Further, it includes supplier that the intelligent terminal module, which is used to be arranged different logon rights, is provided oneself
The monitoring data of product are checked, custodial officer checks the monitoring data of all products and administrator removes all inspections
Measured data is also managed remote monitoring system outside checking.
The effect provided in summary of the invention is only the effect of embodiment, rather than invents all whole effects, above-mentioned
A technical solution in technical solution have the following advantages that or the utility model has the advantages that
The embodiment of the present invention proposes the Power Material key point remote supervision system based on technology of Internet of things, the system packet
Include data acquisition module, data analysis module, data intelligence alarm module and intelligent terminal module；Data acquisition module passes through
RS485 communication interface is communicated with monitoring device.The monitoring data of collected different types of data are stored in different respectively
It deposits or database, then the monitoring data of different types of data is converted into unified data format, using DES to unified
Data format data encryption after, be sent to cloud.The monitoring data of different types of data include monitoring real time data, conductor
The data of resistance and the data of insulation development length.Data analysis module will monitor real time data and detect the nominal of real time data
Value is compared, and obtains the degree of deviation of monitoring real time data；The nominal value of optimization conductor resistance obtains the second nominal value, by conductor
The data of resistance are compared with the second nominal value, obtain the degree of deviation of the data of conductor resistance；By the data for the development length that insulate with
The nominal value of insulation development length compares, and obtains the degree of deviation of insulation development length.Intelligent warning module is for obtaining data point
Analyse the degree of deviation, the degree of deviation of the data of conductor resistance, the deviation for the development length that insulate of the monitoring real time data that module analysis goes out
Degree；When any degree of deviation data are greater than threshold value, alarm.The invention proposes the Power Material passes based on technology of Internet of things
Key point remote supervision system is converted into unified data format first by the monitoring data of collected different types of data, hair
It is sent to cloud, the data analysis module in cloud compares the data sent with nominal value, when the degree of deviation compared out is super
When crossing threshold value, alarm signal is issued.It is long-range by carrying out the Power Material key point proposed by the present invention based on technology of Internet of things
Monitoring system forms the qualitative materiel new pattern of management of " advanced control, real-time monitoring, intellectual analysis, the inspection of process pipe ", realizes
Power Material from many ways about when scene witness to long-range real-time automatic monitoring, passive lag supervision reduces people to actively supervising
Member's labor intensity and cost of labor, the efficiency, efficiency and lean for improving qualitative materiel management are horizontal, produce good effect
Benefit.When the direct benefit of generation, the cost of human resources has been saved.Indirect benefit is artificially taken after changing previous goods and materials arrival
The mode of sample sampling observation, goods and materials become full inspection from original sampling observation, and qualitative materiel supervision moves forward to the production phase from arrival sampling observation, thorough
Bottom has prevented the outflow of unqualified goods and materials.It is 93.36% by the goods and materials probability of acceptance of spot check of the prior art, is moved forward by quality monitoring
With expansion quality testing covering surface, qualitative materiel qualification rate at least can be promoted to 99%.In addition, improving electric power netting safe running
Matenal support ability, improve the brand image of Guo Wang company, be completed the period because reducing unqualified goods and materials replacement delay project
Bring indirect economic effect is more considerable.
Detailed description of the invention
Attached drawing 1 is the Power Material key point remote supervision system knot based on technology of Internet of things that the embodiment of the present invention proposes
Structure schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that, term " longitudinal direction ", " transverse direction ", "upper", "lower", "front", "rear",
The orientation or positional relationship of the instructions such as "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is based on attached drawing institute
The orientation or positional relationship shown is merely for convenience of the description present invention, rather than the device or element of indication or suggestion meaning must
There must be specific orientation, be constructed and operated in a specific orientation, therefore be not considered as limiting the invention.
Embodiment 1
The embodiment of the present invention 1 proposes the Power Material key point remote supervision system based on technology of Internet of things, the system
Including data acquisition module, data analysis module, according to Intelligent warning module and intelligent terminal module；As Fig. 1 gives the present invention
The Power Material key point remote supervision system structural schematic diagram based on technology of Internet of things that embodiment 1 proposes.
Data acquisition module is communicated by RS485 communication interface with monitoring device, and wherein monitoring device includes cable monitoring
Equipment and transformer monitoring equipment.The monitoring data of collected different types of data are stored in different memory or number respectively
According to library, then the monitoring data of different types of data are converted into unified data format, using DES to the unified number
After the data encryption of format, it is sent to cloud；Wherein the monitoring data of different types of data include monitoring real time data, conductor
The data of resistance and the data of insulation development length.Wherein monitoring device is mainly that cable detection device and transformer monitoring are set
It is standby.
To the processing method of monitoring real time data are as follows: cable is monitored real time data and transformer monitoring real time data is stored in
PLC memory configures APU2004 module in PLC output interface；Wherein PLC is exported monitoring real time data by APU2004 module, point
It is local to APU2004 to criticize storage, each batch generates first and numbers, and the first number is also deposited with monitoring real time data simultaneously simultaneously
Storage.Wherein APU2004 module itself is furnished with LTE (4G) wireless communication function, can also provide the function of data storage and forwarding.
To the method for the data processing of conductor resistance are as follows: DC3000 system stores the data of conductor resistance to relationship type number
According to library, multiple tables of relevant database are read, form unified data format, and the second number generated for data；
Wherein DC3000 system is the hot elongation test instrument parameter setting of cable insulation jacket and computing system.
To the processing method of the data of insulation development length are as follows: QJ36B-2 system stores the data for the development length that insulate
To file based database application；After the data of conductor resistance and insulation development length are replicated, Uniform data format is formed, for insulation
The third mark number that the data of development length generate, is stored on hard disk；Third number value can be set are as follows:
The QJ36B-2 system is the resistance test instrument of cable, electric wire.
Using DES to the data encryption of the unified data format after, the method for being sent to cloud is data acquisition module
Block is sent to cloud according to the sequence of the first number, the second number or third number one by one；Cloud in the unit time to receiving
N acknowledged sequence number is sent immediately to data acquisition module to N item record.Data acquisition module by data according to number sequence by
Item is sent to cloud, also needs to prevent data to be tampered or forge data encryption with DES before sending.In guaranteed efficiency and
In the case where timeliness, cloud platform confirms data without single, sends 10 immediately really after 10 datas are received in 1 minute
Recognize serial number to data acquisition module, less than 10, then 1 minute to then sending the acknowledged sequence number received to data acquisition module, cloud
Platform does not receive acknowledged sequence number in 30 seconds at 1 point, then automatic send repeats to send the serial number, guarantees the integrality of data.
The video data of monitoring field will be streamed to cloud backstage after starting and stored by monitoring, and cloud backstage will deposit
It stores up the video data entirely monitored to flow on hard disk, the entitled device id+detection time of file, the data as monitoring witness.
Data analysis module will monitor real time data and be compared with the nominal value for detecting real time data, and it is real-time to obtain monitoring
The degree of deviation of data；Wherein monitoring real time data includes cable monitoring real time data, transformer monitoring real time data.
Data analysis module receiving cable monitor real time data, including oversheath thickness (mm), thickness (mm),
Copper shield thickness (mm), copper shield overlapping rate (%), conductor shielding thickness (mm), thickness of insulating layer (mm), insulation shielding thickness
(mm) and eccentricity (%) data of the Temperature and Humidity module of environment is had collected, while also.
As the following table 1 provide be for cable monitor real time data, nominal value and allow minimum value table.
Data analysis module receiving transformer monitors real time data, and wherein transformer Real-time Monitoring Data includes voltage than surveying
Amount and it is coupled label calibrating, winding resistance measurement, winding over the ground and D.C. isolation resistance measurement, no-load loss and zero load between winding
Pressure test, induced over voltage withstand test, temperature rise test, shelf depreciation survey are applied in current measurement, short-circuit impedance and load loss measurement outside
Amount test, lightning stroke impact test.
As the following table 2 provide be in transformer monitoring real time data voltage than measure and be coupled label calibrating,
Middle winding temperature is 16 DEG C；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure 102.7kpa.
As the following table 3 provide be in transformer monitoring real time data winding resistance measurement, wherein winding temperature is
16℃；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure 102.7kpa.
What is provided such as the following table 4 is D.C. isolation resistance over the ground and between winding for the winding in transformer monitoring real time data
Measurement, wherein winding temperature is 16 DEG C；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure 102.7kpa.
As the following table 5 provide be in transformer monitoring real time data short-circuit impedance and load loss measurement with short circuit
Impedance and load loss measurement, wherein winding temperature is 16 DEG C；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure
102.7kpa。
What is provided such as the following table 6 is to apply pressure test for outer in transformer monitoring real time data, and wherein winding temperature is
16℃；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure 102.7kpa.
What is provided such as the following table 7 is for the induced over voltage withstand test in transformer monitoring real time data, and wherein winding temperature is
16℃；Environment temperature is 17 DEG C；Relative humidity 46%；Atmospheric pressure 102.7kpa.
What is provided such as the following table 8 is for the temperature rise test in transformer monitoring real time data, and wherein environment temperature is 14.5
℃；Relative humidity 42%；Atmospheric pressure 102.5kpa.
It further include the test such as measurement of partial discharge test and lightning stroke impact test.By transformer monitoring real time data and prison
The nominal value for surveying real time data is compared, and obtains the degree of deviation of monitoring real time data；
The nominal value of optimization conductor resistance obtains the second nominal value, and the data of conductor resistance and the second nominal value are compared,
Obtain the degree of deviation of the data of conductor resistance；The data for the development length that insulate and the nominal value of insulation development length are compared, are obtained
Take the degree of deviation of insulation development length.
Data analysis module receives conductor verification, temperature and humidity data, the resistance measured under the length that 1 meter of resistance value
It is compared for R1 Ω/m, R1*1000 Ω/km with nominal value.Nominal value is influenced by temperature and humidity, and former method only considers temperature
The influence of degree provides the coefficient of several gears, insulating resistance of cable × temperature when using this formula insulating resistance of cable=t DEG C
Conversion coefficient is spent, carries out 1% error judgment with 0.0754 Ω of nominal value/km, coefficient is 0.48 at 0 DEG C；Coefficient is at 5 DEG C
0.57；Coefficient is 0.70 at 10 DEG C；Coefficient is 0.85 at 15 DEG C；Coefficient is 1.0 at 20 DEG C；Coefficient is 1.13 at 25 DEG C；30℃
When coefficient be 1.41；Coefficient is 1.66 at 35 DEG C；Coefficient is 1.92 at 40 DEG C.The nominal value of optimization conductor resistance obtains the second mark
The method of title value are as follows: original nominal value is made into training set according to detection record, carries out self study using TensorFlow；So
Afterwards, deviation is obtained using secondary cost function Square, declines optimizer GradientDescentOptimizer in conjunction with gradient
Adjusting and optimizing parameter；It being optimized using training set, obtains the second nominal value, the error for carrying out 1% with input nominal value compares,
Record judging result and notice alarm module.
The formula nominal value of self study is R=w1*c+w2*d+b, and wherein w1 and w2 is weight, and c is temperature, and d is wet
Degree, b are biasing.
Monitor the calculation method of the degree of deviation of real time data are as follows:
The degree of deviation of the data of conductor resistance are as follows:
The degree of deviation of insulation development length are as follows:
Degree of deviation data are saved and are notified alarm module.Degree of deviation data are considered as vendors' evaluating data, examine every time
Survey can all generate deviation data, assess every year supplier, the summation/detection time of average deviation degree=each detection error
Number, the value are considered as unqualified supplier less than 98%.
To insulation development length measurement include try before length (mm), heat extend after length (mm), demobilization after length (mm),
Maximum elongation rate (mm) under load, it is cooling after maximum nominal elongation (mm) under maximum permanent elongation (mm), load.It will measurement
Data and standard value afterwards compare, and obtain the deviation ratio of insulation development length.
Data intelligence alarm module is used to obtain the degree of deviation, the conductor for the monitoring real time data that data analysis module analyzes
The degree of deviation of the degree of deviation of the data of resistance, the development length that insulate；When the degree of deviation, the data of conductor resistance of monitoring real time data
The degree of deviation and insulation development length degree of deviation any data be greater than threshold value when, alarm.
Intelligent terminal module is docked for different logon rights to be arranged with the monitoring data of Power Material in real time,
It checks the variation tendency of monitoring data, and information is pushed to related personnel after the alarm of data intelligence alarm module.Intelligence
Terminal needs user identity authentication, and different users distributes different roles, and role is the important means of control display content, is
System possesses supplier, custodial officer and system manager.Supplier is checking to the monitoring data of oneself offer product, object
Money administrator checks to the detection datas of all products.Administrator, can also be to long-range prison in addition to all monitoring data are checked
Control system is managed, such as increase personnel etc..
Intelligent terminal is docked with quality in site control data, each parameter variation tendency of real time inspection；System is automatic after alarm
By alarm information pushing to related personnel.
Intelligent electric power qualitative materiel management system for monitoring is divided into three-decker, complete perception according to ubiquitous Internet of Things framework
Layer, ubiquitous network connection layer and intelligent use layer.
Complete perception layer includes intelligent monitoring equipment or system, field camera.
Ubiquitous network connection layer includes that data and video are sent to cloud database server by 4G network or 5G network；
Intelligent use layer includes big data: cloud database server realizes big data storage；Mobile application: intelligence is eventually
End passes through 4G network login to cloud database server.Intelligent use: surveillance center's computer logs in cloud WEB by Ethernet
Server.
Above content is only to structure example of the invention and explanation, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (9)
1. the Power Material key point remote supervision system based on technology of Internet of things, which is characterized in that the remote supervision system
Including data acquisition module, data analysis module；
The data acquisition module is communicated by RS485 communication interface with monitoring device, by collected different types of data
Monitoring data are stored in different memory or database respectively, and the monitoring data of different types of data are then converted into unification
Data format, using DES to the data encryption of the unified data format after, be sent to cloud；The different data class
The monitoring data of type include monitoring the data of real time data, the data of conductor resistance and the development length that insulate；
The data analysis module will monitor real time data and be compared with the nominal value for detecting real time data, and it is real-time to obtain monitoring
The degree of deviation of data；The nominal value of optimization conductor resistance obtains the second nominal value, by the data of conductor resistance and the second nominal value
It compares, obtains the degree of deviation of the data of conductor resistance；By the nominal value ratio of the data for the development length that insulate and insulation development length
It is right, obtain the degree of deviation of insulation development length.
2. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In the remote supervision system further includes data intelligence alarm module and intelligent terminal module；
The data intelligence alarm module is used to obtain the degree of deviation, the conductor for the monitoring real time data that data analysis module analyzes
The degree of deviation of the degree of deviation of the data of resistance, the development length that insulate；When the degree of deviation, the data of conductor resistance of monitoring real time data
The degree of deviation and insulation development length degree of deviation any data be greater than threshold value when, alarm；
The intelligent terminal module is docked for different logon rights to be arranged with the monitoring data of Power Material in real time,
It checks the variation tendency of monitoring data, and information is pushed to related personnel after the alarm of data intelligence alarm module.
3. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In to the processing method of monitoring real time data are as follows: monitoring real time data is stored in PLC memory, is configured in PLC output interface
APU2004 module；PLC is exported monitoring real time data by the APU2004 module, and storage is local to APU2004 in batches, and each batch
Secondary to generate the first number, first number is also stored with monitoring real time data simultaneously simultaneously.
4. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In to the method for the data processing of conductor resistance are as follows: DC3000 system stores the data of conductor resistance to relevant database,
The multiple tables for reading relevant database form unified data format, and the second number generated for data；
The DC3000 system is the hot elongation test instrument parameter setting of cable insulation jacket and computing system.
5. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In to the processing method of the data of insulation development length are as follows: QJ36B-2 system stores the data for the development length that insulate to file
Type database；After the data of conductor resistance and insulation development length are replicated, Uniform data format is formed, extends length for insulation
The third number that the data of degree generate, is stored on hard disk；
The QJ36B-2 system is the resistance test instrument of cable, electric wire.
6. the Power Material key point according to claim 3-5 any one based on technology of Internet of things, which remotely monitors, is
System, which is characterized in that using DES to the data encryption of the unified data format after, the method for being sent to cloud is data
Acquisition module is sent to cloud according to the sequence of the first number, the second number or third number one by one；The cloud is to unit
N item record is received in time sends N acknowledged sequence number immediately to data acquisition module.
7. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In the method that the nominal value of the optimization conductor resistance obtains the second nominal value are as follows: do original nominal value according to detection record
At training set, self study is carried out using TensorFlow；Then, deviation is obtained using secondary cost function Square, in conjunction with ladder
Degree decline optimizer adjusting and optimizing parameter；
The formula nominal value of the self study is R=w1*c+w2*d+b, and wherein w1 and w2 is weight, and c is temperature, and d is wet
Degree, b are biasing.
8. the Power Material key point remote supervision system according to claim 1 based on technology of Internet of things, feature exist
In the calculation method of the degree of deviation of the monitoring real time data is
The degree of deviation of the data of the conductor resistance is
It is described insulation development length the degree of deviation be
9. the Power Material key point remote supervision system according to claim 2 based on technology of Internet of things, feature exist
In it is to provide the monitoring data of product to oneself that it includes supplier that the intelligent terminal module, which is used to be arranged different logon rights,
Checked, custodial officer checks to the monitoring data of all products and administrator is in addition to all detection datas are checked,
Also remote monitoring system is managed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910443804.1A CN110262313B (en) | 2019-05-27 | 2019-05-27 | Electric power material key point remote monitoring system based on internet of things technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910443804.1A CN110262313B (en) | 2019-05-27 | 2019-05-27 | Electric power material key point remote monitoring system based on internet of things technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110262313A true CN110262313A (en) | 2019-09-20 |
| CN110262313B CN110262313B (en) | 2021-09-07 |
Family
ID=67915487
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910443804.1A Active CN110262313B (en) | 2019-05-27 | 2019-05-27 | Electric power material key point remote monitoring system based on internet of things technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110262313B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111007903A (en) * | 2019-11-27 | 2020-04-14 | 安徽聚力粮机科技股份有限公司 | Remote linkage control system for storage equipment |
| CN111245102A (en) * | 2020-03-25 | 2020-06-05 | 广东电网有限责任公司 | Key signal warning device and method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020042896A1 (en) * | 1997-05-13 | 2002-04-11 | Johnson Karl S. | Diagnostic and managing distributed processor system |
| CN1889422A (en) * | 2006-06-02 | 2007-01-03 | 中华人民共和国青岛出入境检验检疫局 | Electromechanical products electric safety long-distance system |
| US20140347037A1 (en) * | 2010-08-10 | 2014-11-27 | Cooper Technologies Company | Apparatus for Mounting an Overhead Monitoring Device |
| US8965698B2 (en) * | 2010-12-29 | 2015-02-24 | Nexans | Real time thermal line ratings for overhead transmission line |
| CN110138087A (en) * | 2019-05-31 | 2019-08-16 | 河南城建学院 | A kind of electric power safety monitoring system based on data acquisition |
-
2019
- 2019-05-27 CN CN201910443804.1A patent/CN110262313B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020042896A1 (en) * | 1997-05-13 | 2002-04-11 | Johnson Karl S. | Diagnostic and managing distributed processor system |
| CN1889422A (en) * | 2006-06-02 | 2007-01-03 | 中华人民共和国青岛出入境检验检疫局 | Electromechanical products electric safety long-distance system |
| US20140347037A1 (en) * | 2010-08-10 | 2014-11-27 | Cooper Technologies Company | Apparatus for Mounting an Overhead Monitoring Device |
| US8965698B2 (en) * | 2010-12-29 | 2015-02-24 | Nexans | Real time thermal line ratings for overhead transmission line |
| CN110138087A (en) * | 2019-05-31 | 2019-08-16 | 河南城建学院 | A kind of electric power safety monitoring system based on data acquisition |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111007903A (en) * | 2019-11-27 | 2020-04-14 | 安徽聚力粮机科技股份有限公司 | Remote linkage control system for storage equipment |
| CN111007903B (en) * | 2019-11-27 | 2021-06-08 | 安徽聚力粮机科技股份有限公司 | Remote linkage control system for storage equipment |
| CN111245102A (en) * | 2020-03-25 | 2020-06-05 | 广东电网有限责任公司 | Key signal warning device and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110262313B (en) | 2021-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105512448B (en) | A kind of appraisal procedure of power distribution network health index | |
| CN106651225A (en) | Method and system for comprehensively evaluating smart power grid demonstration project | |
| Vazquez et al. | Wildfire mitigation plans in power systems: A literature review | |
| CN109490713A (en) | A kind of method and system moving inspection and interactive diagnosis for cable run | |
| CN108199891B (en) | Cps network attack identification method based on artificial neural network multi-angle comprehensive decision | |
| CN110826228B (en) | Regional power grid operation quality limit evaluation method | |
| CN108304983A (en) | Management platform is repaiied in a kind of oil and gas pipeline inspection acquired based on unmanned plane and network communication technology data | |
| CN112381306A (en) | Intelligent operation and maintenance management and control platform for power distribution network | |
| Haq et al. | A hybrid approach based on deep learning and support vector machine for the detection of electricity theft in power grids | |
| CN110262313A (en) | Power Material key point remote supervision system based on technology of Internet of things | |
| CN116742799A (en) | Auxiliary power distribution monitoring and early warning system based on Internet of things technology | |
| CN113820017A (en) | Generator carbon brush temperature monitoring system based on infrared image and temperature prediction method | |
| CN109120064A (en) | Transforming plant DC power-supply management system | |
| CN115664006B (en) | Intelligent management and control integrated platform for incremental power distribution network | |
| CN116522746A (en) | Power distribution hosting method for high-energy-consumption enterprises | |
| CN116012189A (en) | Electric power facility flood disaster-stricken space heterogeneity analysis method and system | |
| CN115376021A (en) | Method and system for monitoring flood-affected satellite images of concrete poles | |
| CN113836816A (en) | Generator carbon brush temperature monitoring system based on infrared image and temperature prediction method | |
| CN108761258A (en) | Transformer short period overload capability assessment system based on artificial intelligence and big data technology | |
| Zheng et al. | Lightning risk assessment model for transmission lines with lift‐based improved analytic hierarchy process | |
| CN112783939A (en) | Low-voltage distribution network running state evaluation method based on data mining | |
| LU500843B1 (en) | A monitoring system and prediction method of temperature for generator carbon brush based on an infrared image | |
| Zeng et al. | Application of AI image recognition in the omnidirectional monitoring system for power transmission lines | |
| Hongyu et al. | Research on Auxiliary System of Big Data Abnormality in Station Area Line Loss under Smart Grid | |
| CN105139247A (en) | Multi-functional marketing management and monitoring 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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |