CN115633274A - Instrument health state data acquisition and diagnosis system - Google Patents
Instrument health state data acquisition and diagnosis system Download PDFInfo
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- CN115633274A CN115633274A CN202211437027.8A CN202211437027A CN115633274A CN 115633274 A CN115633274 A CN 115633274A CN 202211437027 A CN202211437027 A CN 202211437027A CN 115633274 A CN115633274 A CN 115633274A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 37
- 230000036541 health Effects 0.000 title claims abstract description 10
- 238000004891 communication Methods 0.000 claims abstract description 69
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- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000003062 neural network model Methods 0.000 claims description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- G—PHYSICS
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention belongs to the field of data acquisition and diagnosis, and discloses an instrument health state data acquisition and diagnosis system which comprises a wireless acquisition module, a collection module, a storage module and a diagnosis module, wherein the wireless acquisition module comprises a plurality of data acquisition devices, the data acquisition devices are used for acquiring state data of a tested instrument, and in the process of communication between the data acquisition devices and the wireless acquisition module, a communication emergency coefficient is firstly calculated, then the communication emergency coefficient is compared with a communication emergency coefficient threshold value, and then a corresponding waiting time calculation function is selected according to the comparison result to calculate the current waiting time; the collection module is used for transmitting the state data to the storage module; the storage module is used for storing state data; the diagnosis module is used for carrying out fault diagnosis on the tested instrument based on the state data. The invention is beneficial to the data acquisition device to transmit the state data of the tested instrument to the storage module for storage in time.
Description
Technical Field
The invention relates to the field of data acquisition and diagnosis, in particular to an instrument health state data acquisition and diagnosis system.
Background
The instrument may have accidental abnormal conditions in the testing process, so research and development personnel can ask testers to acquire an operation data log, and then the data log of the instrument is combined to correct the abnormal conditions, but the testing contents of different testers are different, and the testers may not be aware of the accidental abnormal conditions which do not belong to the testing content range of the testers, so that some abnormal testing conditions are not recorded in time. Therefore, in the prior art, state data of software and hardware of an instrument in a test process is generally directly stored to the local, and then when the abnormal operation of the tested instrument is detected, the abnormal state data is acquired, and a data transmission diagnosis module is used for performing fault diagnosis.
When a large number of instruments need to be tested simultaneously, the state data is generally transmitted to the storage device for storage in a wireless communication mode, because if a wired communication mode is adopted, a large number of communication lines need to be arranged in advance, and the hardware cost is high. Each instrument under test is connected to a data acquisition device having wireless communication capabilities. In the process of wireless communication, a carrier sense multiple access algorithm with collision avoidance is generally adopted to avoid communication collision in a data acquisition device in the prior art, but the mechanism adopts a mode of randomly acquiring the waiting time in the setting of the waiting time, and when a channel is idle and the randomly acquired waiting time is long, the meaningless waiting time is too long, which is not beneficial to timely sending the state data of the tested instrument to a storage device for storage.
Disclosure of Invention
The invention aims to disclose an instrument health state data acquisition and diagnosis system, which solves the problems that in the existing instrument test process, when the state data of an instrument is acquired in a wireless communication mode, communication conflict is avoided by randomly acquiring waiting time, so that meaningless waiting time is too long, and the state data of the tested instrument is not convenient to send to a storage device for storage in time.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an instrument health state data acquisition and diagnosis system, which comprises a wireless acquisition module, a collection module, a storage module and a diagnosis module, wherein the wireless acquisition module is used for acquiring instrument health state data;
the wireless acquisition module comprises a plurality of data acquisition devices, and the data acquisition devices are used for acquiring state data of the tested instrument and sending the state data to the collection module;
the collecting module is used for transmitting the state data to the storage module;
the storage module is used for storing state data;
the diagnostic module is used for carrying out fault diagnosis on the tested instrument based on the state data;
when the data acquisition device communicates with the collection module, after detecting that the channel is idle, the waiting time is acquired by adopting the following mode:
for data acquisition device
，
Calculating own communication emergency coefficient after detecting that the channel is idle
，
Wherein, the first and the second end of the pipe are connected with each other,
and
the weight coefficient is represented by a weight coefficient,
to represent
The number of times that has been waited is accumulated during the current transmission period,
indicates the maximum value of the set cumulative number of waits,
to represent
The amount of data that needs to be transmitted in the current transmission period,
representing a preset data quantity reference value;
if it is
Is less than or equal to
Then, then
The latency is calculated using the following function:
wherein the content of the first and second substances,
is shown as
The wait time for the next time to wait,
denotes the first
The wait time for the next time to wait,
indicating the set maximum value of the communication emergency coefficient,
the maximum value of the set communication emergency coefficient threshold value is represented;
which indicates the unit time that is set up,
means that a random number is generated in the range from 0 to u;
Optionally, the status data includes a time of collection, a number of the tested instrument, operation data of hardware of the tested instrument, and operation data of software loaded on the tested instrument.
Optionally, the storage module includes a cloud server or a local server.
Optionally, the diagnostic module includes a reading unit, a diagnostic unit and an output unit;
the reading unit is used for a developer to download state data from the storage module;
the diagnosis unit is used for inputting the state data obtained by the reading unit into a neural network model for fault diagnosis to diagnose and obtain a diagnosis result;
the output unit is used for outputting the diagnosis result.
Optionally, the reading unit includes a permission identifying subunit, an instruction inputting subunit and a communication subunit;
the authority identifying subunit is used for identifying whether the developer has the downloading authority;
the instruction input subunit is used for a developer with download authority to input a download instruction;
the communication subunit is used for transmitting the downloading instruction to the storage module.
Optionally, the download instruction includes a collection time interval of the status data and a number of the tested instrument.
Optionally, the storage module includes a storage unit, an instruction receiving unit, a retrieving unit, and a sending unit;
the storage unit is used for storing state data;
the instruction receiving unit is used for receiving a downloading instruction transmitted by the communication subunit;
the retrieval unit is used for retrieving the state data stored in the storage unit according to the downloading instruction to obtain the state data conforming to the downloading instruction;
the sending unit is used for transmitting the state data obtained by the retrieval unit to the communication subunit.
Optionally, the communication subunit is further configured to receive the status data transmitted by the sending unit, and transmit the status data transmitted by the sending unit to the diagnostic unit.
In the process of acquiring the detected instrument in a wireless communication mode, the invention adopts the steps of firstly calculating the communication emergency coefficient, then comparing the communication emergency coefficient with the threshold value of the communication emergency coefficient, and then selecting the corresponding waiting time calculation function according to the comparison result to calculate the current waiting time. Compared with the existing carrier sense multiple access algorithm with collision avoidance, the invention can shorten the waiting time of the data acquisition device as much as possible when the channel is idle, otherwise, the waiting time is properly prolonged, the data loss caused by communication collision is avoided, and meanwhile, the data acquisition device is favorable for transmitting the state data of the tested instrument to the storage module for storage in time.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a diagram of an embodiment of an instrument health data acquisition and diagnostic system according to the present invention.
FIG. 2 is a diagram of one embodiment of a diagnostic module of the present invention.
FIG. 3 is a diagram of a reading unit according to an embodiment of the present invention.
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 reference numerals refer to the same or similar elements or elements having the same or similar functions 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.
In one embodiment, as shown in fig. 1, the present invention provides an instrument health status data acquisition and diagnosis system, which includes a wireless acquisition module, a collection module, a storage module, and a diagnosis module.
In one embodiment, the wireless acquisition module comprises a plurality of data acquisition devices, and the data acquisition devices are used for acquiring the state data of the tested instrument and sending the state data to the collection module.
In one embodiment, the status data includes the time of acquisition, the number of the instrument being tested, operational data of the hardware of the instrument being tested, and operational data of the software onboard the instrument being tested.
In one embodiment, the hardware of the instrument under test may include a state sequence control card, a source control output card, a DAC (digital to analog conversion module), and a power amplifier.
In one embodiment, the software of the instrument being tested may include application software and hardware abstraction service software.
The operating data of the hardware may include voltage, current, run length, etc. data. And the running data of the software can comprise a running log of the software.
In one embodiment, the collection module is configured to transmit the status data to the storage module.
Specifically, the collection module may be a device such as a base station with data relay capability.
In one embodiment, the storage module is configured to store status data.
In one embodiment, the storage module comprises a cloud server or a local server.
In one embodiment, the diagnostic module is configured to perform fault diagnosis on the instrument under test based on the status data.
In one embodiment, as shown in fig. 2, the diagnostic module includes a reading unit, a diagnostic unit, and an output unit;
the reading unit is used for a developer to download state data from the storage module;
the diagnosis unit is used for inputting the state data obtained by the reading unit into a neural network model for fault diagnosis to diagnose and obtain a diagnosis result;
the output unit is used for outputting the diagnosis result.
Specifically, the neural network model is trained on a large number of fault case data sets before fault diagnosis, so that various types of faults can be identified.
The neural network model mainly compares state data with state data of various types of faults when the faults occur, so as to determine whether the faults occur or not and determine specific types of the faults when the faults occur.
For software systems, typical failures include logic errors, algorithm errors, operational errors, I/O errors, user interface errors, and the like.
In terms of hardware, common faults include excessive voltage, current overload, current noise, and the like.
In one embodiment, as shown in fig. 3, the reading unit includes a rights authentication subunit, an instruction input subunit, and a communication subunit;
the authority identifying subunit is used for identifying whether the developer has the downloading authority;
the instruction input subunit is used for a developer with downloading authority to input a downloading instruction;
specifically, the download instruction may include a collection time interval of the state data and a number of the tested instrument;
the communication subunit is used for transmitting the downloading instruction to the storage module.
Specifically, the authority identification subunit can identify the download authority of the developer through fingerprint identification, password identification, face identification and other modes.
In one embodiment, the storage module comprises a storage unit, an instruction receiving unit, a retrieving unit and a sending unit;
the storage unit is used for storing state data;
the instruction receiving unit is used for receiving the downloading instruction transmitted by the communication subunit;
the retrieval unit is used for retrieving the state data stored in the storage unit according to the downloading instruction to obtain the state data conforming to the downloading instruction;
the sending unit is used for transmitting the state data obtained by the retrieval unit to the communication subunit.
In one embodiment, the communication subunit is further configured to receive the status data transmitted by the sending unit, and to transmit the status data transmitted by the sending unit to the diagnostic unit.
The invention enables intelligent diagnosis. And can detect the whole life cycle of the instrument. The method covers a plurality of detection items such as application software, hardware abstraction service, a state sequence control card, a source control output card, a digital-to-analog conversion (DAC) module, a power amplifier and the like. And the state data is statistically analyzed from different dimensions, so that the equipment problems are conveniently searched and maintained. The invention improves the economic benefit. The development workload of the personnel of the test instrument in diagnosing each module of the instrument is effectively reduced, the maintenance difficulty and the maintenance cost are effectively reduced, the debugging and the system optimization are convenient, and the reliability of the test instrument can be obviously improved.
In one embodiment, when the data acquisition device communicates with the collection module, after detecting that the channel is idle, the data acquisition device acquires the waiting time by adopting the following modes:
for the data acquisition device
，
Calculating own communication emergency coefficient after detecting the channel is idle
，
Wherein the content of the first and second substances,
and
the weight coefficient is represented by a weight coefficient,
represent
The number of times that has been waited is accumulated during the current transmission period,
indicates the maximum value of the set cumulative number of waits,
to represent
The amount of data that needs to be transmitted in the current transmission period,
representing a preset data quantity reference value;
if it is
Is less than or equal to
Then, then
The latency is calculated using the following function:
wherein the content of the first and second substances,
is shown as
The wait time for the next time to wait,
is shown as
The wait time for the next time to wait,
indicating the set maximum value of the communication emergency coefficient,
the maximum value of the set communication emergency coefficient threshold value is represented;
which indicates the unit time that is set up,
means that a random number is generated in the range from 0 to u;
In the process of acquiring the detected instrument in a wireless communication mode, the invention adopts the steps of firstly calculating the communication emergency coefficient, then comparing the communication emergency coefficient with the threshold value of the communication emergency coefficient, and then selecting the corresponding waiting time calculation function according to the comparison result to calculate the current waiting time. Compared with the existing carrier sense multiple access algorithm with collision avoidance, the invention can shorten the waiting time of the data acquisition device as much as possible when the channel is idle, otherwise, the waiting time is properly prolonged, the data loss caused by communication collision is avoided, and meanwhile, the data acquisition device is favorable for transmitting the state data of the tested instrument to the storage module for storage in time.
In the above-described embodiments of the present invention,
and
the number of waits and the amount of data that needs to be transferred,
the greater the value of (a) is,
the larger the value of (A), the larger the
The greater the value of (A), then, when
Is greater than
Is shown by
It is necessary to send out the status data as soon as possible, at which time, due to the setting of the calculation formula of the waiting time, the maximum value possible for the waiting time is smaller than the maximum value possible for the previous waiting time, so that the maximum value possible for the waiting time is smaller than the maximum value possible for the previous waiting time
After the channel is detected to be idle, the probability that the channel needs to wait for too long time is reduced, which is beneficial to
The technique sends out the status data. When the temperature is higher than the set temperature
Is less than or equal to
When it is, then it represents
Is not high enough, the range of waiting times continues to expand. The upper limit of the random number generated by the existing carrier sense multiple access algorithm with collision avoidance is fixed and cannot be changed. The self-adaptive variable random number can avoid conflict and effectively improve the transmission efficiency of state data.
In addition, the calculation function of the waiting time of the invention is also related to the threshold value of the emergency coefficient of communication sent by the collection module, and can change along with the change from idle to busy of the channel, when the channel is idle, the upper limit of the randomly generated waiting time can be restrained as much as possible, otherwise, the upper limit of the randomly generated waiting time can be improved. The arrangement mode can effectively reduce the waiting time of the data acquisition device.
In one embodiment, the collection module calculates the communication urgency coefficient threshold at regular intervals
And will obtain
Broadcasting to each data acquisition device;
the communication emergency coefficient threshold value is calculated by adopting the following function:
wherein the content of the first and second substances,
the scale parameter is expressed in terms of a ratio,
，
representing the total amount of status data received by the collection module over time period T,
a comparison value representing the total amount of the set state data,
representing the number of data acquisition devices in communication with the collection module over time period T,
representing the total number of data acquisition devices,
indicating the set constant parameter.
In the above embodiment, the communication emergency coefficient threshold value is obtained by performing calculation periodically, so that the collection module can know the current communication busy level periodically. If it is
The larger the size of the tube is,
the larger the value is, the more busy the communication is in the time period T, the smaller the calculated threshold value of the communication emergency coefficient in the next time period T is, and if the calculated threshold value is larger, the smaller the communication emergency coefficient is
The smaller the size of the hole is,
the smaller the communication emergency coefficient threshold value, the more idle the communication is in the time period T, and the larger the communication emergency coefficient threshold value in the next time period T is calculated. Because the communication urgency coefficient threshold is for the next time period T, the amount of data generated during each relatively large time period is constant during normal testing of the instrument. Therefore, if the communication is more idle in the previous time period T, it means that the communication is more busy in the next time period T, and at this time, the value of the corresponding communication emergency coefficient threshold value is larger.
The upper limit of the randomly generated waiting time can be subjected to self-adaptive constraint by setting the threshold value of the communication emergency coefficient, so that the transmission efficiency of the state data is improved.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. An instrument health state data acquisition and diagnosis system is characterized by comprising a wireless acquisition module, a collection module, a storage module and a diagnosis module;
the wireless acquisition module comprises a plurality of data acquisition devices, and the data acquisition devices are used for acquiring state data of the tested instrument and sending the state data to the collection module;
the collection module is used for transmitting the state data to the storage module;
the storage module is used for storing state data;
the diagnosis module is used for carrying out fault diagnosis on the tested instrument based on the state data;
when the data acquisition device communicates with the collection module, after detecting that the channel is idle, the waiting time is acquired by adopting the following mode:
for data acquisition device
，
Calculating own communication emergency coefficient after detecting the channel is idle
， 
Wherein, the first and the second end of the pipe are connected with each other,
and
the weight coefficient is represented by a weight coefficient,
represent
The number of times that has been waited is accumulated during the current transmission period,
indicates the maximum value of the set cumulative number of waits,
represent
The amount of data that needs to be transmitted in the current transmission period,
representing a preset data quantity reference value;
if it is
Is less than or equal to
Then, then
The latency is calculated using the following function:
wherein the content of the first and second substances,
is shown as
The waiting time for the next time to wait,
denotes the first
The waiting time for the next time to wait,
indicating settingsThe maximum value of the communication emergency coefficient of (c),
a maximum value representing a set communication emergency coefficient threshold value;
which indicates the unit time that is set up,
means that a random number is generated in the range from 0 to u;
2. The system of claim 1, wherein the status data includes a time of collection, a number of the instrument being tested, operational data of hardware of the instrument being tested, and operational data of software installed on the instrument being tested.
3. The system of claim 1, wherein the storage module comprises a cloud server or a local server.
4. The instrument health data acquisition and diagnosis system of claim 1, wherein said diagnostic module comprises a reading unit, a diagnostic unit and an output unit;
the reading unit is used for a developer to download state data from the storage module;
the diagnosis unit is used for inputting the state data obtained by the reading unit into a neural network model for fault diagnosis to diagnose and obtain a diagnosis result;
the output unit is used for outputting the diagnosis result.
5. The system of claim 4, wherein the reading unit comprises an authority identification subunit, a command input subunit and a communication subunit;
the authority identifying subunit is used for identifying whether the developer has the downloading authority;
the instruction input subunit is used for a developer with downloading authority to input a downloading instruction;
the communication subunit is used for transmitting the downloading instruction to the storage module.
6. The system of claim 5, wherein the downloaded instructions include a time period for acquiring the status data and a serial number of the device under test.
7. The system of claim 6, wherein the storage module comprises a storage unit, an instruction receiving unit, a retrieving unit and a transmitting unit;
the storage unit is used for storing state data;
the instruction receiving unit is used for receiving a downloading instruction transmitted by the communication subunit;
the retrieval unit is used for retrieving the state data stored in the storage unit according to the downloading instruction to obtain the state data conforming to the downloading instruction;
the sending unit is used for transmitting the state data obtained by the retrieval unit to the communication subunit.
8. The system as claimed in claim 7, wherein the communication subunit is further configured to receive the status data transmitted from the sending unit, and transmit the status data transmitted from the sending unit to the diagnostic unit.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1994029825A1 (en) * | 1993-06-04 | 1994-12-22 | M & Fc Holding Company, Inc. | Duplex bi-directional multi-mode remote instrument reading and telemetry system |
| EP0834432A2 (en) * | 1996-10-07 | 1998-04-08 | Hewlett-Packard Company | High performance automotive diagnostic instrumentation architecture |
| CN1332422A (en) * | 2000-06-22 | 2002-01-23 | 株式会社日立制作所 | Remote monitoring diagnostic system and method |
| CN102589612A (en) * | 2012-01-18 | 2012-07-18 | 西安交通大学 | Intelligent diagnosis method and on-line monitoring system for electrified railway contact network cable clamp overheat fault |
| CN109243136A (en) * | 2018-08-21 | 2019-01-18 | 北京中合云通科技发展有限公司 | Detection system and its detection method for intelligent transportation infrastructure device |
| CN112325918A (en) * | 2020-10-19 | 2021-02-05 | 中国电子科技集团公司第三十八研究所 | State prediction processing system of standard instrument |
-
2022
- 2022-11-16 CN CN202211437027.8A patent/CN115633274A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1994029825A1 (en) * | 1993-06-04 | 1994-12-22 | M & Fc Holding Company, Inc. | Duplex bi-directional multi-mode remote instrument reading and telemetry system |
| EP0834432A2 (en) * | 1996-10-07 | 1998-04-08 | Hewlett-Packard Company | High performance automotive diagnostic instrumentation architecture |
| CN1332422A (en) * | 2000-06-22 | 2002-01-23 | 株式会社日立制作所 | Remote monitoring diagnostic system and method |
| CN102589612A (en) * | 2012-01-18 | 2012-07-18 | 西安交通大学 | Intelligent diagnosis method and on-line monitoring system for electrified railway contact network cable clamp overheat fault |
| CN109243136A (en) * | 2018-08-21 | 2019-01-18 | 北京中合云通科技发展有限公司 | Detection system and its detection method for intelligent transportation infrastructure device |
| CN112325918A (en) * | 2020-10-19 | 2021-02-05 | 中国电子科技集团公司第三十八研究所 | State prediction processing system of standard instrument |
Non-Patent Citations (1)
| Title |
|---|
| 张雨,周爱莲,储浩: "载运工具(汽车)状态远程实时监测与故障诊断" * |
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Application publication date: 20230120 |