CN113588141B - Collecting and diagnosing working method of capacitive edge computing pressure transmitter - Google Patents
Collecting and diagnosing working method of capacitive edge computing pressure transmitter Download PDFInfo
- Publication number
- CN113588141B CN113588141B CN202110906690.7A CN202110906690A CN113588141B CN 113588141 B CN113588141 B CN 113588141B CN 202110906690 A CN202110906690 A CN 202110906690A CN 113588141 B CN113588141 B CN 113588141B
- Authority
- CN
- China
- Prior art keywords
- data
- pressure
- pressure data
- diagnosis
- value
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 79
- 238000003745 diagnosis Methods 0.000 claims abstract description 54
- 238000004364 calculation method Methods 0.000 claims abstract description 52
- 238000012545 processing Methods 0.000 claims abstract description 33
- 238000004092 self-diagnosis Methods 0.000 claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 230000002093 peripheral effect Effects 0.000 claims abstract description 4
- 230000005856 abnormality Effects 0.000 claims abstract description 3
- 239000003990 capacitor Substances 0.000 claims description 78
- 230000008569 process Effects 0.000 claims description 64
- 230000006870 function Effects 0.000 claims description 27
- 239000011159 matrix material Substances 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 12
- 125000004122 cyclic group Chemical group 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 3
- 238000012821 model calculation Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000002405 diagnostic procedure Methods 0.000 claims 3
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 238000004458 analytical method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 5
- 230000001681 protective effect Effects 0.000 description 5
- 238000009434 installation Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003129 oil well Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000003381 stabilizer Substances 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000004304 visual acuity Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/14—Measuring force or stress, in general by measuring variations in capacitance or inductance of electrical elements, e.g. by measuring variations of frequency of electrical oscillators
- G01L1/142—Measuring force or stress, in general by measuring variations in capacitance or inductance of electrical elements, e.g. by measuring variations of frequency of electrical oscillators using capacitors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L27/00—Testing or calibrating of apparatus for measuring fluid pressure
- G01L27/007—Malfunction diagnosis, i.e. diagnosing a sensor defect
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/54—Testing for continuity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/64—Testing of capacitors
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biomedical Technology (AREA)
- Measuring Fluid Pressure (AREA)
Abstract
The invention provides a working method for collecting and diagnosing a capacitive edge computing pressure transmitter, which comprises the following steps: s1, peripheral pressure data are obtained through a pressure transmitter, pressure data are collected through an edge calculation data acquisition module, and the edge calculation data acquisition module acquires the pressure data through a first self-diagnosis module; s2, performing data conversion on the pressure data processed by the first self-diagnosis module through an edge calculation data conversion module, and performing diagnosis operation on the output pressure data to obtain corresponding diagnosis data; and S3, storing, processing abnormality, judging and outputting the pressure data in a second self-diagnosis module according to the pressure data after diagnosis is completed. According to the invention, an edge calculation capacitance type pressure transmitter calculation model is constructed, a pressure transmitter edge data diagnosis and detection method based on noise analysis is judged, and abnormal failure fault detection of pressure data is realized by extracting the characteristic value of noise data and comparing the characteristic value with a cloud reference pressure characteristic value.
Description
The application is a divisional application with the name of 'capacitive edge computing pressure transmitter acquisition diagnostic circuit and working method thereof', which is the application number of 2020106062806, the application date of 2020, 06, 29.
Technical Field
The invention relates to the technical field of industrial process control, in particular to a working method for collecting and diagnosing a capacitive edge computing pressure transmitter.
Background
The pressure transmitter is a pressure transmitter which takes output as a standard signal, and is an instrument which receives a pressure variable and converts the pressure variable into a standard output signal in proportion. It can convert the physical pressure parameters sensed by the load cell sensor into standard electric signals for the secondary instruments such as indicating alarm, recorder and regulator to measure, indicate and regulate the process. The pressure transmitter is the most common sensor in industrial practice, is widely applied to various industrial automatic control environments, and relates to various industries such as water conservancy and hydropower, railway traffic, intelligent buildings, production automatic control, aerospace, military industry, petrochemical industry, oil wells, electric power, ships, machine tools, pipelines and the like.
The problem that the single body of the existing pressure transmitter diagnosis equipment is difficult to support the edge intelligent function is solved from the aspect of function research, the problem that the intelligent equipment lacks remote management and operation and maintenance, how to construct the edge computing capability of the pressure transmitter diagnosis circuit is solved, and the problems of low management and control and intelligent degree of the traditional instrument body are solved; on the basis of limited resources and software and hardware carriers of the traditional instrument, three-level intelligent cooperation is constructed by expanding resources and software and hardware, and how to break through the self-diagnosis of the pressure transmitter body, the self-learning based on the trend change rate of the working condition and the edge calculation function such as self-decision based on the diagnosis and learning. There is a great need for those skilled in the art to solve the corresponding technical problems.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly provides a working method for collecting and diagnosing a capacitive edge computing pressure transmitter.
In order to achieve the above object, the present invention provides a working method for collecting and diagnosing a capacitive edge computing pressure transmitter, comprising the following steps:
s1, peripheral pressure data are obtained through a pressure transmitter, pressure data are collected through an edge calculation data acquisition module, and the edge calculation data acquisition module acquires the pressure data through a first self-diagnosis module;
s2, performing data conversion on the pressure data processed by the first self-diagnosis module through an edge calculation data conversion module, and performing diagnosis operation on the output pressure data to obtain corresponding diagnosis data;
and S3, storing, processing abnormity, judging and outputting the pressure data in a second self-diagnosis module by the pressure data after diagnosis is completed.
In a preferred embodiment of the present invention, the S1 includes:
s1-1, initializing a pressure transmitter, collecting pressure data of the pressure transmitter, emptying a corresponding storage address of a storage module according to an address required to be stored in the pressure data, and loading the collected pressure data into a pre-stored buffer area address;
s1-2, in the first self-diagnosis module, diagnosing the acquired pressure data, judging a detection function in a memory, performing CRC (cyclic redundancy check) on the stored data, and monitoring the data through the data processing unit after the CRC is completed;
s1-3, unpacking and analyzing through a communication protocol in the process of acquiring pressure data, loading a physical state address into a Modbus register address through a mapping relation, setting an initial register address as a blank target area, setting the initial register address as a data receiving starting area, setting a second register address as a mark description area, setting a third register address as a decision area, setting a fifth register address as a characteristic area, setting a sixth register address as a capacitance state area, setting a seventh register address as a low-voltage warning area, setting an eighth register address as a standard state area, setting a ninth register address as a minimum pressure data value and setting a tenth register address as a maximum pressure data value;
s1-4, a data processing unit obtains pressure data and places the pressure data in a first register, a capacitance data value obtained through a first capacitor and a fifth capacitor is placed in a sixth register, the data of the sixth register is compared with the data of an eighth register, if the data of the sixth register is larger than or smaller than the data of the eighth register, the data of the eighth register is placed in a characteristic area, and if the data of the eighth register is in an interval of the data of the eighth register, the data of the eighth register is placed in a third register;
s1-5, when the data processing unit judges that the pressure data is the minimum pressure data value, the minimum pressure data value is placed in a ninth register, when the pressure data is judged to be the maximum pressure data value, the maximum pressure data value is placed in a tenth register, and if a low-voltage state is detected, the low-voltage state data is placed in a seventh register;
s1-6, in the process that the data processing unit prepares to call corresponding data, the related data can be quickly positioned and further operated.
In a preferred embodiment of the present invention, S1 further includes: s1-7, after the pressure transmitter collects data, the pressure transmitter performs analog-to-digital conversion, performs nonlinear compensation and differential pressure calculation on the pressure data, diagnoses and monitors the pressure data through process variable calculation, monitors the process variable calculation of the pressure data, and performs data collection and learning on current and voltage when the pressure data are output through a self-learning function;
s1-8, in the pressure data diagnosis process, saving process variable calculation, after self-learning time is finished, calculating the average value of the process variable, generating self-diagnosis parameters, performing alarm operation through a display unit if the average value of the process variable exceeds an alarm set range, performing alarm operation through a pressure transmitter if the average value of the process variable is in a reminding threshold interval, performing relearning operation through a self-learning function if the average value of the process variable is out of the alarm set range or out of the reminding threshold interval, and adjusting the average value in the relearning operation process to enable the average value to meet the requirement of pressure transmitter acquisition diagnosis;
s1-9, calculating the standard deviation of the process variable, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set upper limit, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set lower limit, and acquiring the diagnosis process in real time only when the standard deviation is between the set upper limit and the set lower limit and the normal standard deviation value in the process variable calculation is maintained.
In a preferred embodiment of the present invention, the S2 includes:
s2-1, the pressure data is converted by the edge calculation data conversion module, the precision of the pressure data acquired by the pressure transmitter is improved, the failure rate of the capacitance data needs to be judged,
acquiring a charging correction function of the capacitor in the charging process of the capacitor
Beta is a charge regulation coefficient;
when the capacitor discharges, the discharge correction function of the capacitor is obtained
C n Is a capacitance value, S empty A value of the capacitance deviation in the discharge state, μ being a discharge-regulating factor, [ mu ] is>
S2-2, acquiring a failure model of the pressure transmitter according to the correction function,
wherein E is a pressure data instantaneous response value, eta is a pressure data correction coefficient, F is a pressure data control deviation value, Z is a constraint value for acquiring pressure data receiving frequency, sigma is a constraint factor, and U is an external environment influence factor;
multiplying the set pressure signal transmission intensity d by the pressure signal receiving frequency k, performing matrix model calculation according to the target diagnosis quantity p,
wherein r is a signal attenuation value, m is an attenuation parameter, T is a pressure intensity ratio, six-level parameters are calculated in a matrix model, and parameters obtained under different environments of pressure data are subjected to failure calculation, so that parameter optimization and diagnosis are performed on a data structure,
and S2-3, after calculating the parameters in the matrix model, predicting the failure rate of the data sent by the pressure transmitter and calculating the optimal value of the matrix model, and diagnosing and optimizing according to the transmitted pressure data.
In a preferred embodiment of the present invention, the S3 includes:
s3-1, through pressure data after diagnosis is finished, a pressure data check coefficient q is retrieved from an internal memory in a second self-diagnosis module, a threshold value zeta is set in the t-1 th pressure data output value, a switching coefficient epsilon in a pressure data abnormity formula P (t) = epsilon j (t) + zeta j (t) + q [ j (t) -j (t-1) ] is set to be 1, the t-th pressure data abnormity output value P (t) is calculated, and a difference delta P = j (t) -j (t-1) between the t-th theoretical output value j (t) and the t-1 th theoretical output value j (t-1) is calculated;
s3-2, safety measures are guaranteed for stored data through an SRS coding mode, data are prevented from being abnormally tampered, a collecting circuit is diagnosed, a data obtaining standard followed by pressure transmitter data calculation is completed, whether the data are intact is judged through CRC (cyclic redundancy check) and SRS (sounding reference signal) verification, a voltage detecting circuit is adopted to carry out voltage protection in the collecting process, when undervoltage occurs, a safety failure mode is switched to, and when the voltage is normal, pressure data collecting work is carried out.
The invention also discloses a diagnostic device for the acquisition and diagnosis working method of the capacitive edge computing pressure transmitter, and the acquisition and diagnosis working method of the capacitive edge computing pressure transmitter is realized by using the diagnostic device.
In a preferred embodiment of the invention, the diagnostic equipment comprises a base, wherein front connecting bolts are connected with the middle of the front end and the rear end of the top of the base through threads, side connecting bolts are connected with the middle of the two sides of the top of the base through threads, a protective body is fixedly connected with the middle of the top of the base, a mounting groove is formed in the top of the protective body, a pressure transmitter is fixedly mounted at the rear end of one side of the mounting groove, a capacitor module is fixedly mounted at the front end of one side of the mounting groove, an analog switch device is fixedly mounted in the middle of the mounting groove, a microcontroller is fixedly mounted at the front end of the other side of the mounting groove, an anode connecting groove is formed in the rear end of the other end of the mounting groove, a cathode connecting groove is formed in the front end of the top of the base, a control display screen is fixedly mounted at the front end of one side of the top cover, a clamping groove is formed in the middle of the left side and the right side of the bottom of the top cover, front end connecting bolts and side connecting bolts are respectively connected with the threads in the four threads, an anode clamping groove is formed in the rear end of one side of the top cover, and a cathode clamping groove is formed in the front end of the four threads.
In a preferred embodiment of the present invention, the capacitor module includes a first capacitor, a second capacitor, a third capacitor, a fourth capacitor and a fifth capacitor, the second capacitor is fixedly clamped at the rear end of the first capacitor, the third capacitor is fixedly clamped at the rear end of the second capacitor, the fourth capacitor is fixedly clamped at the rear end of the third capacitor, the fifth capacitor is fixedly clamped at the rear end of the fourth capacitor, and the pressure transmitter is fixedly clamped at the rear end of the fifth capacitor.
In a preferred embodiment of the present invention, a first sensor guiding column, a second sensor guiding column, and a third sensor guiding column are sequentially disposed at a front end of a top of the pressure transmitter.
In a preferred embodiment of the present invention, one end of the top of the analog switch device, which is close to the capacitor module, is sequentially provided with a pin a7, a6, a5, a4, a3, a2, a1, and a0, and the other end of the top of the analog switch device is sequentially provided with a pin s2, a pin s1, a pin s0, a pin E, a negative electrode, and a positive electrode.
In a preferred embodiment of the present invention, an s2 controller leading post, an s1 controller leading post, and an s0 controller leading post are sequentially disposed at one end of the top of the microcontroller near the analog switch device, and are in control connection with the leading post, and a connection slot is disposed in the middle of the rear end of the top of the microcontroller.
In a preferred embodiment of the present invention, the a0 pin is connected to a first sensor pin, the a1 pin is connected to a second sensor pin, and the a2 pin is connected to a third sensor pin.
In a preferred embodiment of the present invention, the lead of the pin a3 is connected to a fifth capacitor positive electrode, the lead of the pin a4 is connected to a fourth capacitor positive electrode, the lead of the pin a5 is connected to a third capacitor positive electrode, the lead of the pin a6 is connected to a second capacitor positive electrode, and the lead of the pin a7 is connected to a first capacitor positive electrode.
In a preferred embodiment of the present invention, the E pin is connected to a control connection pin, the s0 pin is connected to an s0 controller pin, the s1 pin is connected to an s1 controller pin, and the s2 pin is connected to an s2 controller pin.
In a preferred embodiment of the present invention, the positive electrode pin is connected to a positive electrode of a power supply through a wire, and the negative electrode pin is connected to a negative electrode of the power supply through a wire.
In a preferred embodiment of the present invention, the positive connection groove corresponds to a positive electrode slot, and the negative connection groove corresponds to a negative electrode slot.
In a preferred embodiment of the present invention, the method further comprises: the first capacitance signal output end is connected with a first capacitance signal receiving end of the data processing unit, the second capacitance signal output end is connected with a second capacitance signal receiving end of the data processing unit, the third capacitance signal output end is connected with a third capacitance signal receiving end of the data processing unit, the fourth capacitance signal output end is connected with a fourth capacitance signal receiving end of the data processing unit, the fifth capacitance signal output end is connected with a fifth capacitance signal receiving end of the data processing unit, a pressure data signal end of the pressure transmitter is connected with a pressure signal end of the data processing unit, a display signal end of the data processing unit is connected with a signal receiving end of the display unit, a communication end of the data processing unit is connected with a data receiving end of the communication unit, and a data transmitting end of the communication unit is connected with the cloud server.
In summary, due to the adoption of the technical scheme, the invention comprises the following steps:
1. an edge calculation capacitance type pressure transmitter calculation model is built, a pressure transmitter edge data diagnosis and detection method based on noise analysis is judged, and abnormal failure fault detection of pressure data is realized by extracting a characteristic value of noise data and comparing the characteristic value with a cloud reference pressure characteristic value.
2. The capacitive type edge calculation pressure transmitter acquisition and diagnosis circuit is stable and reliable, mainly comprises devices such as standard capacitors and analog switch devices, is simple in circuit structure, low in hardware cost, high in reliability and easy to realize, utilizes five standard capacitors to acquire data, is higher in contrast, further improves the reliability and safety of a control system, and further ensures the working safety of the pressure transmitter.
3. The capacitive edge computing pressure transmitter acquisition diagnosis circuit has strong universality, and utilizes key technologies such as data sensing, feature extraction, mutual information conditioning, data fusion and the like to intelligently diagnose and cooperatively decide edge intelligent core units, so that self diagnosis, self learning and self decision are constructed.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic view of the overall structure of the present invention.
Fig. 2 is a schematic view of the structure of the cover body according to the present invention.
Fig. 3 is a schematic cross-sectional view of the cover according to the present invention.
FIG. 4 is a schematic view of the internal device structure of the present invention.
FIG. 5 is a schematic diagram of the pressure transmitter and capacitive module of the present invention.
Fig. 6 is a schematic structural diagram of an analog switching device according to the present invention.
FIG. 7 is a schematic diagram of a microcontroller according to the present invention.
FIG. 8 is a circuit diagram of the present invention.
FIG. 9 is a detailed circuit diagram of the present invention.
FIG. 10 is a flow chart of the present invention.
FIG. 11 is a flow chart of the diagnostic learning of the present invention.
In the figure: 1. a protective body; 2. a base; 3. the front end is connected with a bolt; 4. a capacitive module; 5. a pressure transmitter; 6. an analog switching device; 7. mounting grooves; 8. a positive connecting groove; 9. a negative connecting groove; 10. a microcontroller; 11. a side connecting bolt; 12. a top cover; 13. controlling the display screen; 14. a negative electrode clamping groove; 15. a positive electrode card slot; 16. a clamping groove; 17. a threaded hole; 401. a first capacitor; 402. a second capacitor; 403. a third capacitor; 404. a fourth capacitor; 405. a fifth capacitor; 501. a first lead post of the sensor; 502. a second lead post of the sensor; 503. a third lead post of the sensor; 601. a7 pin; 602. a6 pin; 603. a5 pin; 604. a4 pin; 605. a3, a pin; 606. a2 pin; 607. a1 pin; 608. a0 pin; 609. a positive electrode pin; 610. a negative electrode pin; 611. e, a pin; 612. an s0 pin; 613. an s1 pin; 614. an s2 pin; 1001. s2, leading the column by a controller; 1002. s1, leading a column by a controller; 1003. s0 leading the column by a controller; 1004. the control connection is connected with the leading column; 1005. is connected with the clamping groove.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention provides diagnostic equipment for a working method of collecting and diagnosing a capacitive edge computing pressure transmitter, which comprises a base 2, wherein front end connecting bolts 3 are connected with the middle threads of the front end and the rear end of the top of the base 2, side edge connecting bolts 11 are connected with the middle threads of the two sides of the top of the base 2, a protective body 1 is fixedly connected with the middle of the top of the base 2, the top of the protective body 1 is provided with an installation groove 7, the rear end of one side of the installation groove 7 is fixedly provided with a pressure transmitter 5, the front end of one side of the installation groove 7 is fixedly provided with a capacitive module 4, the middle of the installation groove 7 is fixedly provided with an analog switch device 6, 7 opposite side front end fixed mounting of mounting groove has microcontroller 10, 7 other end rear sides of mounting groove are opened and are equipped with anodal spread groove 8, negative pole spread groove 9 has been seted up to anodal spread groove 8 front end, 2 top fixedly connected with top caps 12 of base, top cap 12 top one side front end fixed mounting has control display screen 13, joint groove 16 has been seted up to top cap 12 bottom, screw hole 17 has been seted up in the middle of four sides all around to top cap 12 bottom, four screw holes 17 interior threaded connection have front end connecting bolt 3 and side connecting bolt 11 respectively, anodal draw-in groove 15 has been seted up to top cap 12 one side rear end, negative pole draw-in groove 14 has been seted up to anodal draw-in groove 15 front end. The positive connecting groove 8 corresponds to the positive clamping groove 15, and the negative connecting groove 9 corresponds to the negative clamping groove 14.
The capacitor module 4 comprises a first capacitor 401, a second capacitor 402, a third capacitor 403, a fourth capacitor 404 and a fifth capacitor 405, the second capacitor 402 is fixedly clamped at the rear end of the first capacitor 401, the third capacitor 403 is fixedly clamped at the rear end of the second capacitor 402, the fourth capacitor 404 is fixedly clamped at the rear end of the third capacitor 403, the fifth capacitor 405 is fixedly clamped at the rear end of the fourth capacitor 404, and the pressure transmitter 5 is fixedly clamped at the rear end of the fifth capacitor 405. The front end of the top of the pressure transmitter 5 is sequentially provided with a first sensor leading column 501, a second sensor leading column 502 and a third sensor leading column 503. An s2 controller leading column 1001, an s1 controller leading column 1002 and an s0 controller leading column 1003 are sequentially arranged at one end, close to the analog switch device 6, of the top of the microcontroller 10, a control connection leading column 1004 is arranged, and a connecting clamping groove 1005 is formed in the middle of the rear end of the top of the microcontroller 10.
One end of the top of the analog switch device 6, which is close to the capacitor module 4, is sequentially provided with a7 pin 601, a6 pin 602, a5 pin 603, a4 pin 604, a3 pin 605, a2 pin 606, a1 pin 607, and a0 pin 608, and the other end of the top of the analog switch device 6 is sequentially provided with an s2 pin 614, an s1 pin 613, an s0 pin 612, an E pin 611, a cathode pin 610, and an anode pin 609. The a0 pin 608 is connected with the first sensor pin 501 through a wire, the a1 pin 607 is connected with the second sensor pin 502 through a wire, and the a2 pin 606 is connected with the third sensor pin 503 through a wire. The lead of the pin a3 605 is connected with the anode of a fifth capacitor 405, the lead of the pin a4 604 is connected with the anode of a fourth capacitor 404, the lead of the pin a5 603 is connected with the anode of a third capacitor 403, the lead of the pin a6 602 is connected with the anode of a second capacitor 402, and the lead of the pin a7 601 is connected with the anode of a first capacitor 401. The E pin 611 is wired to a control connection pin 1004, the s0 pin 612 is wired to an s0 controller pin 1003, the s1 pin 613 is wired to an s1 controller pin 1002, and the s2 pin 614 is wired to an s2 controller pin 1001. The positive pin 609 is connected to the positive pole of the power supply through a wire, and the negative pin 610 is connected to the negative pole of the power supply through a wire.
When the capacitive type edge computing pressure transmitter acquisition diagnostic circuit is used specifically, current enters the analog switch device 6 through the positive electrode pin 609, then sequentially passes through the a0 pin 608, the a1 pin 607, the a2 pin 606, the a3 pin 605, the a4 pin 604, the a5 pin 603, the a6 pin 602 and the a7 pin 601, the pressure transmitter 5 acquires data, then the fifth capacitor 405, the fourth capacitor 404, the third capacitor 403, the second capacitor 402 and the first capacitor 401 sequentially acquire data, the data are transmitted to the microcontroller 10 and displayed on the control display screen 13 to be compared with a theoretical value, finally the current is led out of the device through the negative electrode pin 610, the acquisition of the pressure transmitter data is completed through the five standard capacitors, and the pressure data can be accurately acquired.
As shown in fig. 8 and 9, the diagnostic circuit of the present invention comprises: the first capacitance signal output end is connected with a first capacitance signal receiving end of the data processing unit, the second capacitance signal output end is connected with a second capacitance signal receiving end of the data processing unit, the third capacitance signal output end is connected with a third capacitance signal receiving end of the data processing unit, the fourth capacitance signal output end is connected with a fourth capacitance signal receiving end of the data processing unit, the fifth capacitance signal output end is connected with a fifth capacitance signal receiving end of the data processing unit, the pressure data signal end of the pressure transmitter is connected with the pressure signal end of the data processing unit, the display signal end of the data processing unit is connected with the signal receiving end of the display unit, the communication end of the data processing unit is connected with the data receiving end of the communication unit, and the data transmitting end of the communication unit is connected with the cloud server,
when the voltage of the capacitor is reduced due to discharge and is less than 1.1V, the level of the output end of the NOT gate jumps from low level to high level, and a capacitor charging and discharging cycle is completed. And sequentially 1-128 times of the charging and discharging time of the capacitor according to the level output width, so that different resolving powers are selected. The method comprises the steps that data of a pressure transmitter are obtained through an edge calculation data acquisition module, the data are sent to a data processing unit, namely a microcontroller, through a capacitance differential pressure acquisition mode, the edge calculation power supply module supplies power to the edge calculation data acquisition module and an edge calculation data conversion module respectively, and the edge calculation data acquisition module sends acquired data to a first self-diagnosis module for solving the problems of open-circuit diagnosis, short-circuit diagnosis, drift diagnosis, acquisition circuit diagnosis and pressure-leading pipeline diagnosis of signals obtained by the pressure transmitter; the pressure data is converted and output through the edge calculation data conversion module, and pressure data storage diagnosis, output parameter abnormity diagnosis, pressure calculation and numerical value conversion diagnosis are performed through the second self-diagnosis module; the processed pressure data is transmitted to a local server through an edge calculation data conversion module, the local server uploads the data to a cloud,
as shown in fig. 10 and 11, the edge computing power supply module supplies power to the instrument card through the shunt regulator, and for the communication card, that is, between the connection bus and the UART isolation circuit, the shunt regulator circuit is used between the buses, so that the extra output current of the current modulation circuit can be absorbed besides the voltage regulation function. The UART isolation circuit is used for removing the influence of voltage fluctuation of the secondary parallel voltage stabilizing circuit caused by the current change of the current modulation circuit through the series voltage stabilizer.
As shown in fig. 10, the working method of the capacitive edge computing pressure transmitter acquisition and diagnosis circuit of the present invention includes the following steps:
s1, peripheral pressure data are obtained through a pressure transmitter, pressure data are collected through an edge calculation data collection module, and the edge calculation data collection module collects the pressure data through a first self-diagnosis module;
s2, performing data conversion on the pressure data processed by the first self-diagnosis module through an edge calculation data conversion module, and performing diagnosis operation on the output pressure data to obtain corresponding diagnosis data;
and S3, storing, processing abnormality, judging and outputting the pressure data in a second self-diagnosis module according to the pressure data after diagnosis is completed.
The S1 comprises:
s1-1, initializing a pressure transmitter, collecting pressure data of the pressure transmitter, emptying a corresponding storage address of a storage module according to an address required to be stored in the pressure data, and loading the collected pressure data into a pre-stored buffer area address;
s1-2, in the first self-diagnosis module, diagnosing the acquired pressure data, judging a detection function in a memory, performing CRC (cyclic redundancy check) on the stored data, and monitoring the data through the data processing unit after the CRC is completed;
s1-3, unpacking and analyzing through a communication protocol in the process of acquiring pressure data, loading a physical state address into a Modbus register address through a mapping relation, setting an initial register address as a blank target area, setting the initial register address as a data receiving starting area, setting a second register address as a mark description area, setting a third register address as a decision area, setting a fifth register address as a characteristic area, setting a sixth register address as a capacitance state area, setting a seventh register address as a low-voltage warning area, setting an eighth register address as a standard state area, setting a ninth register address as a minimum pressure data value and setting a tenth register address as a maximum pressure data value;
s1-4, a data processing unit obtains pressure data and places the pressure data in a first register, a capacitance data value obtained through a first capacitor and a fifth capacitor is placed in a sixth register, the data of the sixth register is compared with the data of an eighth register, if the data of the sixth register is larger than or smaller than the data of the eighth register, the data of the eighth register is placed in a characteristic area, and if the data of the eighth register is in an interval of the data of the eighth register, the data of the eighth register is placed in a third register;
s1-5, when the data processing unit judges that the pressure data is the minimum pressure data value, the minimum pressure data value is placed in a ninth register, when the pressure data is judged to be the maximum pressure data value, the maximum pressure data value is placed in a tenth register, and if a low-voltage state is detected, the low-voltage state data is placed in a seventh register;
s1-6, in the process that the data processing unit prepares to call corresponding data, related data can be quickly positioned and further operation is carried out;
s1-7, after the pressure transmitter collects data, the pressure transmitter performs analog-to-digital conversion, performs nonlinear compensation and differential pressure calculation on the pressure data, diagnoses and monitors the pressure data through process variable calculation, monitors the process variable calculation of the pressure data, and performs data collection and learning on current and voltage when the pressure data is output through a self-learning function,
s1-8, in the pressure data diagnosis process, saving process variable calculation, after self-learning time is finished, calculating the average value of the process variable, generating self-diagnosis parameters, performing alarm operation through a display unit if the average value of the process variable exceeds an alarm set range, performing alarm operation through a pressure transmitter if the average value of the process variable is in a reminding threshold interval, performing relearning operation through a self-learning function if the average value of the process variable is out of the alarm set range or out of the reminding threshold interval, and adjusting the average value in the relearning operation process to enable the average value to meet the requirement of pressure transmitter acquisition diagnosis;
s1-9, calculating the standard deviation of the process variable, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set upper limit, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set lower limit, and acquiring the diagnosis process in real time only when the standard deviation is between the set upper limit and the set lower limit and the normal standard deviation value in the process variable calculation is maintained,
the S2 comprises the following steps:
s2-1, the pressure data is converted by the edge calculation data conversion module, the precision of the pressure data acquired by the pressure transmitter is improved, the failure rate of the capacitance data needs to be judged,
acquiring a charging correction function of the capacitor in the charging process of the capacitor
Beta is a charge regulation coefficient, and beta is a charge regulation coefficient,
when the capacitor discharges, the discharge correction function of the capacitor is obtained
C n Is a capacitance value, S empty The capacitance deviation value in the discharge state, mu is the discharge regulation coefficient, lambda t To modify the parameter in capacitance per unit time, S full A capacitance deviation value in a charging state;
s2-2, acquiring a failure model of the pressure transmitter according to the correction function,
wherein E is a pressure data instantaneous response value, eta is a pressure data correction coefficient, F is a pressure data control deviation value, Z is a constraint value for acquiring pressure data receiving frequency, sigma is a constraint factor, and U is an external environment influence factor;
multiplying the set pressure signal transmission intensity d by the pressure signal receiving frequency k, performing matrix model calculation according to the target diagnosis quantity p,
wherein r is a signal attenuation value, m is an attenuation parameter, T is a pressure intensity ratio, six-level parameters are calculated in a matrix model, and parameters obtained under different environments of pressure data are subjected to failure calculation, so that parameter optimization and diagnosis are performed on a data structure,
s2-3, after calculating the parameters in the matrix model, predicting the failure rate of the data sent by the pressure transmitter and calculating the optimal value of the matrix model, diagnosing and optimizing according to the transmitted pressure data,
the S3 comprises the following steps:
s3-1, through pressure data after diagnosis is finished, a pressure data check coefficient q is retrieved from an internal memory in a second self-diagnosis module, a threshold value zeta is set in the t-1 th pressure data output value, a switching coefficient epsilon in a pressure data abnormity formula P (t) = epsilon j (t) + zeta j (t) + q [ j (t) -j (t-1) ] is set to be 1, the t-th pressure data abnormity output value P (t) is calculated, and a difference delta P = j (t) -j (t-1) between the t-th theoretical output value j (t) and the t-1 th theoretical output value j (t-1) is calculated;
s3-2, safety measures are guaranteed for stored data by using an SRS coding mode to prevent the data from being abnormally tampered, a collecting circuit is diagnosed to finish a data acquisition standard followed by pressure transmitter data calculation, whether the data is intact is judged by using CRC (cyclic redundancy check) and SRS (sounding reference signal) verification, a voltage detection circuit is adopted to carry out voltage protection in the collecting process, when undervoltage occurs, a safety failure mode is switched to, when the voltage is normal, pressure data collection work is carried out,
by counting the influence of the failure rate, the failure model and the matrix model of each capacitor device, the optimal judgment factor is diagnosed, and the accuracy of pressure transmitter diagnosis is improved.
The method realizes the functions of self-learning, self-diagnosis and self-decision, and can continuously adjust the detection process in the process of acquiring the diagnostic data of the edge calculation pressure transmitter, thereby achieving the condition that the edge flow instrument continuously adapts and changes the monitoring value according to the environmental condition.
A capacitive pressure transmitter calculation model is built, a pressure transmitter edge data diagnosis and detection method based on noise analysis is judged, and abnormal failure fault detection of pressure data is realized by extracting a characteristic value of noise data and comparing the characteristic value with a cloud reference pressure characteristic value.
As shown in fig. 11, the fault detection of the pressure guiding tube is also the most important function of the collecting and diagnosing circuit in the internal diagnosing process, the health state of the pressure guiding tube is monitored in real time, the state of the pressure guiding tube is evaluated, the diagnosing function and the collecting function of the pressure transmitter, the data kitchen element are diagnosed, the pressure data collecting board and the communication board are diagnosed, and the communication data are verified.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (5)
1. A working method for collecting and diagnosing a capacitive edge computing pressure transmitter is characterized by comprising the following steps:
s1, peripheral pressure data are obtained through a pressure transmitter, pressure data are collected through an edge calculation data acquisition module, and the edge calculation data acquisition module acquires the pressure data through a first self-diagnosis module; the step S1 includes the following steps:
s1-1, initializing a pressure transmitter, collecting pressure data of the pressure transmitter, emptying a corresponding storage address of a storage module according to an address required to be stored in the pressure data, and loading the collected pressure data into a pre-stored buffer area address;
s1-2, in the first self-diagnosis module, diagnosing the acquired pressure data, judging a detection function in a memory, performing CRC (cyclic redundancy check) on the stored data, and monitoring the data through the data processing unit after the CRC is completed;
s1-3, unpacking and analyzing through a communication protocol in the process of acquiring pressure data, loading a physical state address into a Modbus register address through a mapping relation, setting an initial register address as a blank target area, setting the initial register address as a data receiving starting area, setting a second register address as a mark description area, setting a third register address as a decision area, setting a fifth register address as a characteristic area, setting a sixth register address as a capacitance state area, setting a seventh register address as a low-voltage warning area, setting an eighth register address as a standard state area, setting a ninth register address as a minimum pressure data value and setting a tenth register address as a maximum pressure data value;
s1-4, a data processing unit obtains pressure data and places the pressure data in a first register, a capacitance data value obtained through a first capacitor and a fifth capacitor is placed in a sixth register, the data of the sixth register is compared with the data of an eighth register, if the data of the sixth register is larger than or smaller than the data of the eighth register, the data of the eighth register is placed in a characteristic area, and if the data of the eighth register is in an interval of the data of the eighth register, the data of the eighth register is placed in a third register;
s1-5, when the data processing unit judges that the pressure data is the minimum pressure data value, the minimum pressure data value is placed in a ninth register, when the pressure data is judged to be the maximum pressure data value, the maximum pressure data value is placed in a tenth register, and if a low-voltage state is detected, the low-voltage state data is placed in a seventh register;
s1-6, in the process that the data processing unit prepares to call corresponding data, relevant data can be quickly positioned and further operation is carried out;
s2, performing data conversion on the pressure data processed by the first self-diagnosis module through an edge calculation data conversion module, and performing diagnosis operation on the output pressure data to obtain corresponding diagnosis data;
and S3, storing, processing abnormality, judging and outputting the pressure data in a second self-diagnosis module according to the pressure data after diagnosis is completed.
2. The capacitive edge computing pressure transmitter acquisition diagnostic method of claim 1, further comprising in said S1: s1-7, after the pressure transmitter collects data, the pressure transmitter performs analog-to-digital conversion, performs nonlinear compensation and differential pressure calculation on the pressure data, diagnoses and monitors the pressure data through process variable calculation, monitors the process variable calculation of the pressure data, and performs data collection and learning on current and voltage when the pressure data are output through a self-learning function;
s1-8, in the pressure data diagnosis process, saving process variable calculation, after self-learning time is finished, calculating the average value of the process variable, generating self-diagnosis parameters, performing alarm operation through a display unit if the average value of the process variable exceeds an alarm set range, performing alarm operation through a pressure transmitter if the average value of the process variable is in a reminding threshold interval, performing relearning operation through a self-learning function if the average value of the process variable is out of the alarm set range or out of the reminding threshold interval, and adjusting the average value in the relearning operation process to enable the average value to meet the requirement of pressure transmitter acquisition diagnosis;
s1-9, calculating the standard deviation of the process variable, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set upper limit, exiting the diagnosis process when the standard deviation of the calculated process variable exceeds a set lower limit, and acquiring the diagnosis process in real time only when the standard deviation is between the set upper limit and the set lower limit and the normal standard deviation value in the process variable calculation is maintained.
3. The capacitive-type edge computing pressure transmitter acquisition diagnostic method as set forth in claim 1, wherein said S2 comprises:
s2-1, the pressure data is converted by the edge calculation data conversion module, the precision of the pressure data acquired by the pressure transmitter is improved, the failure rate of the capacitance data needs to be judged,
acquiring a charging correction function of the capacitor in the charging process of the capacitor
Beta is a charge regulation coefficient;
when the capacitor discharges, the discharge correction function of the capacitor is obtained
C n Is a capacitance value, S empty The capacitance deviation value in the discharge state, mu is the discharge regulation coefficient,
s2-2, acquiring a failure model of the pressure transmitter according to the correction function,
wherein E is a pressure data instantaneous response value, eta is a pressure data correction coefficient, F is a pressure data control deviation value, Z is a constraint value for acquiring pressure data receiving frequency, sigma is a constraint factor, and U is an external environment influence factor;
multiplying the set pressure signal transmission intensity d by the pressure signal receiving frequency k, performing matrix model calculation according to the target diagnostic quantity p,
wherein r is a signal attenuation value, m is an attenuation parameter, T is a pressure intensity ratio, six-level parameters are calculated in a matrix model, and parameters obtained under different environments of pressure data are subjected to failure calculation, so that parameter optimization and diagnosis are performed on a data structure,
and S2-3, after calculating the parameters in the matrix model, predicting the failure rate of the data sent by the pressure transmitter and calculating the optimal value of the matrix model, and diagnosing and optimizing according to the transmitted pressure data.
4. The capacitive-type edge computing pressure transmitter acquisition diagnostic method as set forth in claim 1, wherein said S3 comprises:
s3-1, through pressure data which is diagnosed, a pressure data check coefficient q is retrieved from a memory in a second self-diagnosis module, a threshold value zeta is set in a t-1 th pressure data output value, a switch coefficient epsilon in a pressure data abnormity formula P (t) = epsilon j (t) + zeta j (t) + q [ j (t) -j (t-1) ] is set to be 1, a t-th pressure data abnormity output value P (t) is calculated, and a difference value delta P = j (t) -j (t-1) between the t-th theoretical output value j (t) and the t-1 th theoretical output value j (t-1) is calculated;
s3-2, safety measures are guaranteed for stored data through an SRS coding mode, the data are prevented from being abnormally tampered, a data acquisition standard followed by pressure transmitter data calculation is diagnosed for an acquisition circuit, whether the data are intact is judged through CRC (cyclic redundancy check) and SRS (sounding reference signal) verification, a voltage detection circuit is adopted for voltage protection in the collection process, when under-voltage occurs, a safety failure mode is switched to, and when the voltage is normal, pressure data acquisition work is carried out.
5. The diagnostic device for collecting diagnostic tasks of capacitive edge computing pressure transducers as claimed in any of claims 1 to 4, wherein the diagnostic device is adapted to perform the collecting diagnostic tasks of capacitive edge computing pressure transducers.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110906690.7A CN113588141B (en) | 2020-06-29 | 2020-06-29 | Collecting and diagnosing working method of capacitive edge computing pressure transmitter |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010606280.6A CN111735559B (en) | 2020-06-29 | 2020-06-29 | Capacitive edge calculation pressure transmitter acquisition and diagnosis circuit and working method thereof |
| CN202110906690.7A CN113588141B (en) | 2020-06-29 | 2020-06-29 | Collecting and diagnosing working method of capacitive edge computing pressure transmitter |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010606280.6A Division CN111735559B (en) | 2020-06-29 | 2020-06-29 | Capacitive edge calculation pressure transmitter acquisition and diagnosis circuit and working method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113588141A CN113588141A (en) | 2021-11-02 |
| CN113588141B true CN113588141B (en) | 2023-03-28 |
Family
ID=72652167
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110906690.7A Active CN113588141B (en) | 2020-06-29 | 2020-06-29 | Collecting and diagnosing working method of capacitive edge computing pressure transmitter |
| CN202010606280.6A Active CN111735559B (en) | 2020-06-29 | 2020-06-29 | Capacitive edge calculation pressure transmitter acquisition and diagnosis circuit and working method thereof |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010606280.6A Active CN111735559B (en) | 2020-06-29 | 2020-06-29 | Capacitive edge calculation pressure transmitter acquisition and diagnosis circuit and working method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN113588141B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113465813A (en) * | 2021-07-30 | 2021-10-01 | 沈阳中科博微科技股份有限公司 | Capacitive differential pressure transmitter with pressure leading pipe blockage self-diagnosis function |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110146764A (en) * | 2019-06-14 | 2019-08-20 | 国网新疆电力有限公司电力科学研究院 | A kind of power equipment method for detecting abnormality based on acoustic array edge calculations |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6422088B1 (en) * | 1999-09-24 | 2002-07-23 | Denso Corporation | Sensor failure or abnormality detecting system incorporated in a physical or dynamic quantity detecting apparatus |
| CN201297934Y (en) * | 2008-08-08 | 2009-08-26 | 西安先行测控系统有限公司淄博分公司 | Intelligent transducer based on SPI protocol |
| CN102472678B (en) * | 2009-07-24 | 2014-04-23 | 罗姆股份有限公司 | Semiconductor pressure sensor, pressure sensor device, electronic apparatus, and method for manufacturing semiconductor pressure sensor |
| KR102480411B1 (en) * | 2018-05-30 | 2022-12-26 | 주식회사 비즈모델라인 | Method for Processing Correlationship Edge Computing |
| CN208887835U (en) * | 2018-11-27 | 2019-05-21 | 青岛大学 | A kind of intelligent self-diagnosing formula pressure transmitter device |
| CN110221558B (en) * | 2019-06-05 | 2020-09-01 | 镇江四联机电科技有限公司 | Electro-hydraulic servo valve online fault diagnosis gateway based on edge computing technology |
| CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
| CN110568351A (en) * | 2019-09-04 | 2019-12-13 | 上海卓电电气有限公司 | High-precision gas density monitor and monitoring system based on edge calculation |
| CN110618060A (en) * | 2019-09-04 | 2019-12-27 | 上海乐研电气有限公司 | Electromechanical integral digital display gas density relay |
| CN110830943A (en) * | 2019-11-06 | 2020-02-21 | 湖南银河电气有限公司 | Equipment state monitoring system based on edge calculation and big data analysis |
| CN110900626A (en) * | 2019-11-28 | 2020-03-24 | 北京荣盛时代科技发展有限公司 | Railway roof insulating part safety cleaning detection robot system |
-
2020
- 2020-06-29 CN CN202110906690.7A patent/CN113588141B/en active Active
- 2020-06-29 CN CN202010606280.6A patent/CN111735559B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110146764A (en) * | 2019-06-14 | 2019-08-20 | 国网新疆电力有限公司电力科学研究院 | A kind of power equipment method for detecting abnormality based on acoustic array edge calculations |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113588141A (en) | 2021-11-02 |
| CN111735559A (en) | 2020-10-02 |
| CN111735559B (en) | 2021-09-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201188050Y (en) | On-line monitoring device for SF6 gas leakage base on multi-sensor | |
| KR102684286B1 (en) | Battery diagnosis apparatus, battery diagnosis method, battery pack, and vehicle including the same | |
| CN201438208U (en) | Online detecting device of on-off control return circuit of circuit breaker | |
| CN108844644B (en) | Battery temperature sampling system and car | |
| CN201548643U (en) | Load open circuit or short circuit detecting system for vehicle controller | |
| CN110470939A (en) | The monitoring power distribution cabinet and line fault judgment method of a kind of automatic detection and alarm | |
| CN105356535B (en) | A kind of battery management system total voltage processing method based on functional safety | |
| CN113588141B (en) | Collecting and diagnosing working method of capacitive edge computing pressure transmitter | |
| CN1182495C (en) | Real-time monitor and analysis system for power supply network | |
| CN111896161A (en) | Method for monitoring spring elasticity value on line | |
| CN117289162A (en) | Battery health prediction method and system based on group end convergence method | |
| CN112986708B (en) | Method and device for judging maintenance or replacement of bus capacitor | |
| CN105785169A (en) | Battery system pre-charging management testing device and testing method thereof | |
| CN113646648A (en) | Method and system for detecting connection failure of parallel battery units | |
| CN1236323C (en) | Device for monitoring operating voltage of each cell in fuel cells and making safety alarming as well as its method | |
| CN115684726A (en) | Sampling frequency self-adaptive insulation detection method and battery management system | |
| CN106802384B (en) | Electrical equipment fault detection method based on infrared and ultraviolet photoelectric sensing fusion | |
| CN114035555A (en) | PLC controller fault detection system | |
| CN117767506B (en) | New energy automobile power adapter power self-adaption method based on data driving | |
| CN116937758A (en) | Household energy storage power supply system and operation method thereof | |
| KR20230161377A (en) | Battery diagnosis apparatus, battery diagnosis method, battery pack, and vehicle including the same | |
| CN216117953U (en) | Secondary side fault detection device of voltage transformer | |
| CN111196227B (en) | Sensor signal monitoring method and device and vehicle | |
| CN211180119U (en) | Intelligent motor monitor | |
| CN210376555U (en) | Automatic temperature measurement early warning system of transformer substation's condenser |
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 |