CN118230538A - Full-range temperature data transmission method based on large-scale deployment of temperature measurement module - Google Patents

Full-range temperature data transmission method based on large-scale deployment of temperature measurement module Download PDF

Info

Publication number
CN118230538A
CN118230538A CN202211646183.5A CN202211646183A CN118230538A CN 118230538 A CN118230538 A CN 118230538A CN 202211646183 A CN202211646183 A CN 202211646183A CN 118230538 A CN118230538 A CN 118230538A
Authority
CN
China
Prior art keywords
temperature
full
data transmission
method based
transmission method
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211646183.5A
Other languages
Chinese (zh)
Inventor
陶文
王群峰
马宏文
白兴良
吴小飞
高旭
朱寿岷
邓云龙
王锁红
沈俊
刘澄宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Petrochina Co Ltd
Original Assignee
Petrochina Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Petrochina Co Ltd filed Critical Petrochina Co Ltd
Priority to CN202211646183.5A priority Critical patent/CN118230538A/en
Publication of CN118230538A publication Critical patent/CN118230538A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C23/00Non-electrical signal transmission systems, e.g. optical systems
    • G08C23/04Non-electrical signal transmission systems, e.g. optical systems using light waves, e.g. infrared
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02Constructional details
    • G01J5/03Arrangements for indicating or recording specially adapted for radiation pyrometers

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Radiation Pyrometers (AREA)

Abstract

The invention discloses a full-range temperature data transmission method based on a large-scale deployment temperature measurement module, which is implemented according to the following steps: firstly, determining a sensor array, sequentially traversing the full-width temperature, then determining the coordinates of a temperature matrix of the temperature needing to be focused, and finally transmitting according to limiting conditions. According to the full-range temperature data transmission method based on the large-scale deployment of the temperature measuring module, the time delay of temperature field data collected on the site where the large-scale infrared temperature measuring module is deployed is reduced as much as possible, meanwhile, the details of a temperature matrix are not sacrificed, secondary analysis of historical data can be carried out, and the aim temperature fault can be tracked timely.

Description

Full-range temperature data transmission method based on large-scale deployment of temperature measurement module
Technical Field
The invention belongs to the technical field of power data transmission methods, and particularly relates to a full-range temperature data transmission method based on large-scale deployment of temperature measurement modules.
Background
In recent years, with iterative updating of technology, the resolution of the infrared detector is higher and higher, and the common resolution sizes are 32×24, 80×60, 160×120, 256×192, 384×288, 640×480. Along with the upgrade of the resolution ratio of the detector, the cost is lower and lower, and the detector is widely applied to the fields of industrial fields, electric power, fire protection, security protection, medical treatment and the like.
The on-line monitoring is mainly applied to electric power and industrial sites by infrared thermal imaging, and compared with the traditional contact type temperature measurement mode, the non-contact type temperature measurement mode by infrared thermal imaging has the advantages of wider detection surface, more detection points and no influence and potential safety hazard on the detected object due to contact.
The thermal imager arranged on the site transmits temperature data to the monitoring center through a communication line, and the on-line infrared temperature measurement data currently has two transmission modes: 1. the method has the advantages that full-range temperature data are transmitted, the temperature arrays acquired by the infrared sensor arrays can be all transmitted to a monitoring center in a transmission mode, and complete full-range temperature data analysis and historical data secondary analysis can be performed, so that the defects are that the data size is large, if large-scale deployment is performed, the cost is increased suddenly due to the transmission and storage of the data, and the burden is brought to daily maintenance and operation; therefore, when a large-scale temperature measurement module is deployed on the present site, a common method is to achieve a larger deployment quantity by reducing the transmission frame rate, however, this reduces the response rate of the whole temperature measurement system, and may miss the monitoring of the fault temperature rise fault;
2. The transmission mode carries out data processing in advance at the remote equipment, converts temperature data into a pseudo-color picture, calculates the highest temperature of the key point and the key area, and transmits picture data and temperature information to a monitoring center, so that the data bandwidth can be saved, and the defects that full-range temperature data analysis and historical data secondary analysis cannot be carried out are overcome.
Disclosure of Invention
The invention aims to provide a full-amplitude temperature data transmission method based on a large-scale deployment temperature measurement module, which can realize secondary analysis of historical data without sacrificing the details of a temperature matrix on the temperature field data acquired on the site of the large-scale deployment of the infrared temperature measurement module.
The technical scheme adopted by the invention is that the full-width temperature data transmission method based on large-scale deployment of the temperature measuring module is implemented according to the following steps:
Step 1, determining that the sensor array is X multiplied by Y, and sequentially traversing the full-width temperature from (Col 1, row 1) to (Col X, row Y);
Step 2, determining the abscissa (X 0,Y0)、(X1、Y1) of a temperature matrix of the temperature needing to be focused, wherein X 0≤X1≤x,Y0≤Y1 is less than or equal to y;
Step 3, let N=0, M=0 transmit the temperature data of the (Col X 0,Row Y0) point location in the temperature matrix at first while transmitting, judge whether X 0<X1, if yes, carry out step 4; if not, executing the step 5;
Step 4, performing n+1, transmitting (Col (X 0+N),Row(Y0 +m)), judging whether X 0+N<X1 is present, if yes, performing step 4, and if X 0+N=X1, performing step 5;
Step 5, performing m+1, transmitting (ColX 1,Row(Y0 +m)), judging whether Y 0+M<Y1 is present, if yes, performing step 5, and if Y 0+M=Y1, ending the transmission.
The present invention is also characterized in that,
When data transmission is carried out, a key frame is transmitted every 10 frames, and the data frame between the key frames is a thumbnail frame. Each frame of the thumbnail frames is subjected to difference calculation by an ARM or FPGA data processor built in the temperature measuring module.
And filtering the difference result to remove the point with slow temperature change, and if the temperature difference delta T between the current frame and the previous frame is smaller than the filtering value T aiming at the temperature of a single pixel point, giving 0 to the difference of the pixel point of the current frame.
The temperature difference meter can be obtained after filtering treatment, and the abbreviated temperature difference meter can be obtained by compressing the 0 value in the temperature difference meter through a compression algorithm. And transmitting the thumbnail temperature difference table to a monitoring center through a communication channel, and then performing inverse operation of the compression algorithm on the received thumbnail frame by a data processing unit of the monitoring center to calculate the temperature difference table, and calculating the current frame temperature array through the temperature difference table and the previous frame temperature array.
In data transmission, only the temperature matrix part requiring temperature attention is transmitted.
The full-amplitude temperature data transmission method based on the large-scale deployment of the temperature measurement module has the advantages that the time delay of temperature field data collected on the site of the large-scale deployment of the infrared temperature measurement module is reduced as much as possible, meanwhile, the details of a temperature matrix are not sacrificed, secondary analysis of historical data can be carried out, and the timely tracking of target temperature faults is realized.
Drawings
FIG. 1 is a block diagram of the underlying hardware of the present invention;
FIG. 2 is a schematic diagram of the full-width temperature transmission in example 2 of the present invention;
FIG. 3 is a schematic diagram of the local temperature transmission in example 2 of the present invention;
FIG. 4 is a key frame data array according to embodiment 3 of the present invention;
FIG. 5 is a data array of thumbnail frames in embodiment 3 of the present invention;
FIG. 6 is the raw temperature difference matrix data in example 3 of the present invention;
FIG. 7 is the matrix data of the temperature difference meter in example 3 of the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings and the detailed description.
The invention discloses a full-range temperature data transmission method based on large-scale deployment of a temperature measurement module, which is implemented according to the following steps:
Step 1, determining that the sensor array is X multiplied by Y, and sequentially traversing the full-width temperature from (Col 1, row 1) to (Col X, row Y);
Step 2, determining the abscissa (X 0,Y0)、(X1、Y1) of a temperature matrix of the temperature needing to be focused, wherein X 0≤X1≤x,Y0≤Y1 is less than or equal to y;
Step 3, the temperature data of the point position is firstly transmitted (ColX 0,RowY0) in the transmission temperature matrix when n=0 and m=0, whether X 0<X1 is judged, if yes, the step 4 is executed; if not, executing the step 5;
Step 4, performing n+1, transmitting (Col (X 0+N),Row(Y0 +m)), judging whether X 0+N<X1 is present, if yes, performing step 4, and if X 0+N=X1, performing step 5;
Step 5, performing m+1, transmitting (ColX 1,Row(Y0 +m)), judging whether Y 0+M<Y1 is present, if yes, performing step 5, and if Y 0+M=Y1, ending the transmission.
When data transmission is carried out, a key frame is transmitted every 10 frames, and the data frame between the key frames is a thumbnail frame.
Each frame of the thumbnail frames is subjected to difference value calculation by an ARM or FPGA data processor built in the smart temperature measuring module.
And filtering the difference result to remove the point with slow temperature change, and if the temperature difference delta T between the current frame and the previous frame is smaller than the filtering value T aiming at the temperature of a single pixel point, giving 0 to the difference of the pixel point of the current frame.
The temperature difference meter can be obtained after filtering treatment, and the abbreviated temperature difference meter can be obtained by compressing the 0 value in the temperature difference meter through a compression algorithm.
And transmitting the thumbnail temperature difference table to a monitoring center through a communication channel, and then performing inverse operation of the compression algorithm on the received thumbnail frame by a data processing unit of the monitoring center to calculate the temperature difference table, and calculating the current frame temperature array through the temperature difference table and the previous frame temperature array.
In data transmission, only the temperature matrix part requiring temperature attention is transmitted.
Example 1
The system structure of the temperature measuring module is shown in figure 1, the power supply supplies power to the data acquisition unit, the data processing unit and the communication unit in normal operation, and the data acquisition unit receives the instruction of the data processing unit to acquire data and transmits the acquired data to the data processing unit. The communication unit receives the control of the data processing unit, forwards the temperature data and the instruction data of the data processing unit to the external communication link, and forwards the instruction data and the temperature data which are transmitted by the external communication link to the data processing unit.
Example 2
For example, the data collected by the sensor in the 32×24 array is shown in fig. 2, and the infrared field of view is sequentially traversed from the lattice (Col 1, row 1) to the lattice (Col 32, row 24) during transmission, and sequentially transmitted. In practical applications, the measured object with the temperature of interest occupies only a part of the temperature matrix, and if the temperature area of the object of interest is shown in the labeled part of fig. 3, the remaining parts are also transmitted together, the data transmission efficiency is reduced, so that the measured object is sequentially traversed from the lattices (Row 6, col 10) to (Row 17, col 25) and sequentially transmitted. Therefore, the number of dot matrix data transmitted in each frame is reduced from 768 to 192, and the transmission efficiency of temperature measurement data in a key area is improved under the condition that the transmission speed of a line is unchanged.
Example 3
The resolution is as follows: the temperature measurement module of 16×12 illustrates a temperature difference compression algorithm, the original data is collected through the data collecting unit, the data is processed by the data processing unit, and the temperature data array of the current frame is obtained, as shown in fig. 4, the frame data is directly transmitted to be a key frame, and 9 frames after the key frame are abbreviated frames. The thumbnail frames are processed by a data processing unit to finally obtain the thumbnail temperature difference table. As shown in fig. 5, the data array of the thumbnail frame is shown in fig. 6, the original temperature difference matrix data is obtained through difference calculation, as shown in fig. 7, and the temperature difference table is obtained through filtering processing on the original temperature difference matrix data. Two-dimensional data of the temperature difference table is converted into a one-dimensional temperature difference table array in the order from the temperature difference table matrix data (Col 1, ROW 1) to (Col 16, ROW 12), array elements in which the data is 0 are extracted, and 0 bit positions are recorded. And simultaneously, recording all elements with the data of 0 in the one-dimensional array through binary coding. The array elements with the rest data not being 0 form an array, namely the simplest temperature difference array table.
Example 4
A 32 x 24 thermometry module on a 100-station scale, in which 1 point of temperature data in the temperature matrix takes up 2 bytes during transmission.
With the conventional full-width temperature data transmission method, each frame needs to be transmitted with 32×24=768 temperature points, and the total of 768×2=1536 bytes is occupied. The total data to be transmitted for 100 single frames is 1536×10=15360 bytes.
By adopting the transmission method in the invention, each frame needs to transmit 16×12=192 temperature points, and the total occupied time is 192×2=384 bytes, and the total required data of 100 single frames is 384×10=3840 bytes.
By adopting the full-width temperature data transmission method based on the large-scale deployment of the temperature measurement module, the data volume required to be transmitted in a single frame is only 1/4 of that in the traditional mode, which means that under the condition of the same deployment scale, the storage of the communication line and the monitoring center only needs 1/4 of that in the traditional mode. The time delay of infrared imaging data can be obviously prolonged, and the response rate of temperature measurement and infrared imaging can be improved. Similarly, under the condition of the same and limited transmission resources and storage resources, the transmission method can be used for deploying a larger scale and a larger number of temperature measuring modules than the traditional method.

Claims (7)

1. The full-range temperature data transmission method based on the large-scale deployment of the temperature measurement module is characterized by comprising the following steps of:
Step 1, determining that the sensor array is X multiplied by Y, and sequentially traversing the full-width temperature from (Col 1, row 1) to (Col X, row Y);
Step 2, determining the abscissa (X 0,Y0)、(X1、Y1) of a temperature matrix of the temperature needing to be focused, wherein X 0≤X1≤x,Y0≤Y1 is less than or equal to y;
Step 3, the temperature data of the point position is firstly transmitted (ColX 0,RowY0) in the transmission temperature matrix when n=0 and m=0, whether X 0<X1 is judged, if yes, the step 4 is executed; if not, executing the step 5;
Step 4, performing n+1, transmitting (Col (X 0+N),Row(Y0 +m)), judging whether X 0+N<X1 is present, if yes, performing step 4, and if X 0+N=X1, performing step 5;
Step 5, performing m+1, transmitting (ColX 1,Row(Y0 +m)), judging whether Y 0+M<Y1 is present, if yes, performing step 5, and if Y 0+M=Y1, ending the transmission.
2. The full-width temperature data transmission method based on the large-scale deployment of temperature measurement modules according to claim 1, wherein when data transmission is performed, a key frame is transmitted every 10 frames, and the data frame between the key frames is a thumbnail frame.
3. The full-width temperature data transmission method based on the large-scale deployment of the temperature measurement module according to claim 2, wherein each of the abbreviated frames is subjected to difference calculation by an ARM or FPGA data processor built in the temperature measurement module.
4. The full-width temperature data transmission method based on large-scale deployment of temperature measurement modules according to claim 3, wherein filtering is performed on the difference result to filter out points with slow temperature change, and if the temperature difference delta T between the current frame and the previous frame is smaller than the filtering value T for the temperature of a single pixel point, the difference of the pixel point of the current frame is given 0.
5. The full-width temperature data transmission method based on the large-scale deployment of the temperature measuring module according to claim 4, wherein the temperature difference meter is obtained after filtering, and the abbreviated temperature difference meter is obtained by compressing a 0 value in the temperature difference meter through a compression algorithm.
6. The full-width temperature data transmission method based on the large-scale deployment of the temperature measurement module according to claim 5, wherein the thumbnail temperature difference table is transmitted to the monitoring center through the communication channel, the data processing unit of the monitoring center performs inverse operation of the compression algorithm on the received thumbnail frame to calculate the temperature difference table, and the current frame temperature array is calculated through the temperature difference table and the previous frame temperature array.
7. The full-width temperature data transmission method based on the large-scale deployment of the temperature measurement module according to claim 2, wherein only a temperature matrix part requiring temperature attention is transmitted when data transmission is performed.
CN202211646183.5A 2022-12-19 2022-12-19 Full-range temperature data transmission method based on large-scale deployment of temperature measurement module Pending CN118230538A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211646183.5A CN118230538A (en) 2022-12-19 2022-12-19 Full-range temperature data transmission method based on large-scale deployment of temperature measurement module

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211646183.5A CN118230538A (en) 2022-12-19 2022-12-19 Full-range temperature data transmission method based on large-scale deployment of temperature measurement module

Publications (1)

Publication Number Publication Date
CN118230538A true CN118230538A (en) 2024-06-21

Family

ID=91499872

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211646183.5A Pending CN118230538A (en) 2022-12-19 2022-12-19 Full-range temperature data transmission method based on large-scale deployment of temperature measurement module

Country Status (1)

Country Link
CN (1) CN118230538A (en)

Similar Documents

Publication Publication Date Title
CN110045656B (en) Heating equipment fault monitoring system based on cloud computing
CN112731086A (en) Method and system for comprehensively inspecting electric power equipment
CN202119539U (en) Thermal image temperature measuring and fault location inspecting system
CN102305664A (en) Thermal imaging temperature measurement and fault location inspection system
CN106885987A (en) A kind of high voltage isolator on-line monitoring system based on modal analysis method
CN105208334A (en) Device and method for adopting unmanned planes for conducting power line routing inspection
CN107290062A (en) A kind of power transmission and transformation equipment state analysis method based on Infrared Thermogram
CN207662524U (en) A kind of infrared imaging temperature measuring system
CN116388379A (en) Remote infrared intelligent inspection method and system for transformer substation
CN112686886A (en) Power inspection system and equipment fault diagnosis method thereof
CN208847348U (en) Thermoelectric generator collector ring temperature on-line monitoring device
CN118230538A (en) Full-range temperature data transmission method based on large-scale deployment of temperature measurement module
CN112834871B (en) High-voltage long-section cable insulation fault online monitoring system and method
CN107862245A (en) A kind of method for monitoring abnormality of client power distribution room
CN111678558A (en) Infrared thermal imaging oil level and temperature monitoring system and method applied to oil filling equipment
CN108111807A (en) A kind of power-line patrolling equipment and method for diagnosing faults
CN116780760A (en) Remote monitoring method based on power distribution high-voltage intelligent terminal
CN111272293A (en) Heat distribution monitoring system and detection method thereof
CN217181103U (en) Monitoring system of high-voltage switch cabinet
CN113091699B (en) Micro displacement amplification method based on video image
CN111024239B (en) Infrared detection data automatic acquisition tool based on image recognition technology
CN215871669U (en) Infrared calibration automatic data acquisition device
CN113284103B (en) Substation equipment defect online detection method based on space transformation fast R-CNN model
CN210953113U (en) Infrared thermal image detection system based on 4G network transmission
CN112268621B (en) Disconnecting switch state and contact temperature monitoring device

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