Petrochemical engineering passive three-dimensional temperature measurement method and system and storage medium

Abstract

The invention relates to the technical field of intelligent temperature monitoring, in particular to a petrochemical passive three-dimensional temperature measurement method and system and a storage medium. The method comprises the steps that a distributed optical fiber sensor array is arranged, and the ID of each optical fiber sensor is recorded; performing temperature monitoring to obtain a temperature set and a temperature matrix; acquiring an environment temperature, performing first correction, acquiring position information of each optical fiber sensor, and performing second correction to obtain a corrected temperature set and a corrected temperature matrix; and determining a suspected leakage point. The method is high in performability and high in testing precision, and due to the fact that the optical fiber sensor is long in service life, leakage points can be accurately positioned through the temperature measuring method, and safety accidents are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent temperature monitoring, and in particular to a petrochemical passive three-dimensional temperature measurement method, system and storage medium. Background Art

[0002] In the petrochemical industry, tanks are usually used to store gasoline, liquefied natural gas and other products. Since petroleum products are flammable and explosive, it is necessary to monitor multiple parameters of the tanks during the storage of petroleum products, so that the storage conditions of the tanks can be adjusted immediately to avoid damage to the tanks, and the damage points can be found in time according to the parameters. At present, the monitoring methods of petrochemical tanks mainly include visual monitoring, sound monitoring, gas leak monitoring, etc. In addition, it also includes temperature monitoring. Temperature monitoring is used to monitor the ambient temperature of the tank to avoid the temperature of the tank being too high or too low, and on the other hand, it is used to monitor whether the tank is leaking.

[0003] Traditional temperature monitoring methods include thermocouple temperature sensor temperature measurement, infrared temperature measurement, etc. Due to the large volume of the storage tank, thermocouple temperature sensor temperature measurement and infrared temperature measurement are difficult to implement, and the installation cost is high and the test accuracy is limited. Summary of the invention

[0004] In order to solve the above technical problems existing in the prior art, the present invention provides a petrochemical passive three-dimensional temperature measurement method, system and storage medium.

[0005] To achieve the above object, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention provides a petrochemical passive stereo temperature measurement method, comprising:

[0007] A distributed optical fiber sensor array is deployed on the outer wall of a petrochemical storage tank, and an ID is assigned to each optical fiber sensor, and each optical fiber sensor ID is recorded;

[0008] Temperature monitoring is performed by using an optical fiber sensor array. The temperature data obtained at time i is the temperature set Ti = (t1, t2...t i ……t n ), where n represents the number of temperature measurement points of the optical fiber sensor. The optical fiber sensor monitors the temperature at a certain frequency. The temperature data obtained within 24 hours is the temperature matrix T = (T1, T2, ... T i ……T k ), where k represents the number of measurements within 24 hours;

[0009] Get the ambient temperature, perform the first correction on each temperature in the temperature set, and get the corrected temperature set T i校 and the temperature matrix T 校;

[0010] Obtain the location information of each optical fiber sensor, perform a second correction on each temperature in the temperature set, and obtain the corrected temperature set T i修 and the temperature matrix T 修 ;

[0011] According to the temperature set T i修 and the temperature matrix T 修 , determine the suspected leakage point.

[0012] Furthermore, the ambient temperature is obtained, and each temperature in the temperature set is first corrected, specifically including:

[0013] Acquire the ambient temperature according to the set period to form an ambient temperature data set T 环 =(T 1环 , T 2环 , ... T i环 ……T j环 ), where j represents the number of times the ambient temperature is measured within 24 hours;

[0014] Compare the time when the fiber optic sensor array monitors the temperature with the time when the ambient temperature is obtained to establish the ambient temperature Ti 环 The corresponding relationship with the temperature set is used to obtain the corresponding relationship network between the ambient temperature and the temperature set;

[0015] Using the ambient temperature and influencing factor database, obtain the ambient temperature Ti 环 The corresponding first impact factor data;

[0016] Calculate the difference between adjacent ambient temperatures, using the ambient temperature and influencing factor database, ambient temperature Ti 环 The corresponding second impact factor data;

[0017] Based on the first and second influencing factors, the ambient temperature Ti 环 The corresponding temperature set is subjected to the first calibration.

[0018] Furthermore, the environmental temperature and influencing factor database is established by:

[0019] Arrange a number of optical fiber sensors on a test sample, the test sample is a barrel, the material of the barrel is the same as the material of the outer wall of the storage tank, and the diameter of the barrel is less than 2 meters; change the ambient temperature of the barrel to obtain optical fiber sensor data under different ambient temperatures; repeat the measurement for no less than 20 times at each ambient temperature;

[0020] Calculate each ambient temperature t i环 The average value of all temperatures measured by the optical fiber sensor under i均, obtain the maximum temperature t measured by the optical fiber sensor at each ambient temperature imax and minimum temperature t imin , calculate the parameter a i :

[0021]

[0022] The ambient temperature t i环 As the dependent variable, a i As an independent variable, simulate t i环 、a i The relationship model is the ambient temperature and influencing factor database.

[0023] Furthermore, we simulated t i环 、a i The relationship model includes: using exponential model, linear function model, quadratic function model, logarithmic function model to simulate t i环 、a i The relationship between the exponential model, linear function model, quadratic function model, and logarithmic function model is selected as the final relationship model.

[0024] Furthermore, the ambient temperature and influencing factor database is used to obtain the ambient temperature T i环 The corresponding first influencing factor data specifically includes: inputting the ambient temperature into t i环 、a i In the relationship model, calculate the a corresponding to the ambient temperature i value as the first impact factor data.

[0025] Furthermore, the difference between adjacent ambient temperatures is calculated, and the ambient temperature T i环 The corresponding second impact factor data; specifically including:

[0026] Calculate the current ambient temperature T i环 The ambient temperature T at the previous moment i-1环 The difference ΔT i环 , the difference ΔT i环 Substituting into the relationship model, the difference ΔT is calculated i环 The corresponding a i value as the second influencing factor data.

[0027] Furthermore, based on the first influencing factor and the second influencing factor, the ambient temperature T i环 The corresponding temperature set is first corrected, specifically including: adding the first influencing factor and the second influencing factor, and then adding the sum to the ambient temperature T i环Each temperature in the corresponding temperature set is multiplied to obtain the temperature set after the first correction.

[0028] Furthermore, the position information of each optical fiber sensor is obtained, and each temperature in the temperature set is calibrated for the second time to obtain the calibrated temperature set T i修 and the temperature matrix T 修 ; Specifically include:

[0029] The transmission distance between each optical fiber sensor and the optical fiber temperature measurement host is obtained, wherein the optical fiber temperature measurement host performs bidirectional channel transmission and demodulation on the beginning and end of the optical fiber where the optical fiber sensor is located to obtain the temperature measurement value; a transmission distance set D=(D1, ...D i ...D n ), n represents the number of temperature measurement points of the optical fiber sensor, then the calculation parameter b i ,

[0030]

[0031] In the above formula, c is the correction coefficient, which can be any number between 0.02 and 0.08;

[0032] The calculated b i Value and temperature data at corresponding position t i Multiply them to get the second corrected temperature set T i修 and the temperature matrix T 修 .

[0033] Furthermore, according to the temperature set T i修 and the temperature matrix T 修 , determine the suspected leakage point, including:

[0034] Set the temperature change threshold and calculate the temperature set T i修 The average value of all temperature data in the data is calculated, and then the difference between the temperature value of each temperature measuring point and the average value is calculated to determine the relationship between the corresponding difference value of each temperature measuring point and the temperature change threshold. If the corresponding difference value exceeds the temperature change threshold, the temperature measuring point ID corresponding to the difference value and the corresponding temperature measurement time are obtained;

[0035] Repeat the calculation of all differences corresponding to each temperature measuring point for each temperature set in the temperature matrix, obtain the relationship between all differences of each temperature measuring point and the temperature change threshold, obtain the temperature measuring point ID and the corresponding temperature measurement time whose corresponding difference exceeds the temperature change threshold, and determine whether the temperature measurement time is continuous. If it is continuous for more than two times, the temperature measuring point is a suspected leakage point.

[0036] In a second aspect, the present invention provides a petrochemical passive stereo temperature measurement system, which is used to perform the above-mentioned petrochemical passive stereo temperature measurement method, and the petrochemical passive stereo temperature measurement system comprises:

[0037] The optical fiber sensor array is connected in series in sequence, and the optical fiber sensor array is spirally wound on the outer wall of the storage tank. The starting end and the end of the optical fiber sensor array are connected to the optical fiber temperature measurement host, and the optical fiber temperature measurement host is connected to the display device.

[0038] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned petrochemical passive stereoscopic temperature measurement method is implemented.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The petrochemical passive three-dimensional temperature measurement method provided by the present invention monitors the temperature through an optical fiber sensor array arranged on the outer wall of the storage tank, and uses the ambient temperature and the position of each temperature measurement point to correct the measured temperature data to obtain more accurate temperature data, and uses the temperature data to judge the leakage point, with high executability and high test accuracy. Since the optical fiber sensor has a long service life, the present invention is low in cost and has a long service life compared to the traditional temperature measurement method, and is maintenance-free. The temperature measurement method of the present invention can accurately locate the leakage point and avoid safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a logic diagram of the method of the present invention.

[0042] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly described below in conjunction with the accompanying drawings. Obviously, the described embodiments are not all embodiments of the present invention, and all other embodiments obtained by ordinary technicians in the field without making creative work are within the protection scope of the present invention.

[0044] It should be noted that, unless otherwise specifically stated, the relative arrangements of components and steps, and numerical expressions set forth in these embodiments should not be construed as limiting the scope of the present invention.

[0045] The following description of the exemplary embodiments is merely illustrative and is not intended to limit the present invention and its application or use in any sense. Techniques, methods and devices known to ordinary technicians in the relevant field may not be discussed in detail here, but where applicable, these techniques, methods and devices should be considered as part of this specification.

[0046] Embodiment 1

[0047] This embodiment provides a petrochemical passive three-dimensional temperature measurement method, such as Figure 1 As shown, including:

[0048] A distributed optical fiber sensor array is deployed on the outer wall of a petrochemical storage tank, and an ID is assigned to each optical fiber sensor, and each optical fiber sensor ID is recorded;

[0049] Temperature monitoring is performed by an optical fiber sensor array, and the temperature monitoring is performed regularly according to the set time. Therefore, the temperature data obtained at time i is recorded as the temperature set T i =(t1, t2…t i ……t n ), where n represents the number of temperature measurement points of the optical fiber sensor. The optical fiber sensor monitors the temperature at a certain frequency. The temperature data obtained within 24 hours is the temperature matrix T = (T1, T2, ... T i ……T k ), where k represents the number of measurements within 24 hours;

[0050] Since the ambient temperature has a certain influence on the measurement results of the optical fiber sensor, the ambient temperature is obtained, and the first correction is performed on each temperature in the temperature set to obtain the corrected temperature set T i校 and the temperature matrix T 校 ;

[0051] Obtain the location information of each optical fiber sensor, perform a second correction on each temperature in the temperature set, and obtain the corrected temperature set T i修 and the temperature matrix T 修 ;

[0052] According to the temperature set T i修 and the temperature matrix T 修 , determine the suspected leakage point.

[0053] The process of obtaining the ambient temperature and performing the first correction on each temperature in the temperature set includes:

[0054] Acquire the ambient temperature according to the set period to form an ambient temperature data set T 环 =(T 1环 , T 2环 , ... T i环 ……T j环 ), where j represents the number of times the ambient temperature is measured within 24 hours;

[0055] Compare the time when the fiber optic sensor array monitors the temperature with the time when the ambient temperature is obtained to establish the ambient temperature T i环The corresponding relationship between the ambient temperature and the temperature set is obtained by comparing the time when the optical fiber sensor array performs temperature monitoring with the time when the ambient temperature is obtained, and comparing a time when the ambient temperature is obtained with each time when the temperature is monitored. The closest temperature monitoring time is selected, and the temperature set corresponding to the temperature monitoring time is corresponding to the ambient temperature corresponding to the time. The corresponding relationship network between the ambient temperature and the temperature set is established by locating all the ambient temperature moments.

[0056] Then, the ambient temperature T is obtained by using the ambient temperature and influencing factor database. i环 The corresponding first impact factor data;

[0057] Calculate the difference between adjacent ambient temperatures, using the ambient temperature and influencing factor database, ambient temperature T i环 The corresponding second impact factor data;

[0058] Based on the first and second influencing factors, the ambient temperature T i环 The corresponding temperature set is subjected to the first calibration.

[0059] The specific method for establishing the database of ambient temperature and influencing factors is as follows:

[0060] Arrange a number of optical fiber sensors on a test sample, the test sample is a barrel, the material of the barrel is the same as the material of the outer wall of the storage tank, and the diameter of the barrel is less than 2 meters; change the ambient temperature of the barrel to obtain optical fiber sensor data under different ambient temperatures; repeat the measurement for no less than 20 times at each ambient temperature;

[0061] Calculate each ambient temperature t i环 The average value of all temperatures measured by the optical fiber sensor under i均 , obtain the maximum temperature t measured by the optical fiber sensor at each ambient temperature imax and minimum temperature t imin , calculate parameter a i :

[0062]

[0063] The ambient temperature t i环 As the dependent variable, a i As an independent variable, simulate t i环 、a i The relational model is the ambient temperature and influencing factor database.

[0064] Simulate i环 、a iThe relationship model includes: using exponential model, linear function model, quadratic function model, logarithmic function model to simulate t i环 、a i The relationship between the exponential model, linear function model, quadratic function model, and logarithmic function model is selected as the final relationship model.

[0065] Using the ambient temperature and influencing factor database, obtain the ambient temperature T i环 The corresponding first influencing factor data specifically includes: inputting the ambient temperature into t i环 、a i In the relationship model, calculate the a corresponding to the ambient temperature i value as the first impact factor data.

[0066] Calculate the difference between adjacent ambient temperatures, using the ambient temperature and influencing factor database, ambient temperature T i环 The corresponding second impact factor data; specifically including:

[0067] Calculate the current ambient temperature T i环 The ambient temperature T at the previous moment i-1环 The difference ΔT i环 , the difference ΔT i环 Substituting into the relationship model, the difference ΔT is calculated i环 The corresponding a i value as the second influencing factor data.

[0068] Based on the first and second influencing factors, the ambient temperature T i环 The corresponding temperature set is first corrected, specifically including: adding the first influencing factor and the second influencing factor, and then adding the sum to the ambient temperature T i环 Each temperature in the corresponding temperature set is multiplied to obtain the temperature set after the first correction.

[0069] The position information of each optical fiber sensor is obtained, and each temperature in the temperature set is corrected for the second time to obtain the corrected temperature set T i修 and the temperature matrix T 修 ; Specifically include:

[0070] The transmission distance between each optical fiber sensor and the optical fiber temperature measurement host is obtained, wherein the optical fiber temperature measurement host performs bidirectional channel transmission and demodulation on the beginning and end of the optical fiber where the optical fiber sensor is located to obtain the temperature measurement value; a transmission distance set D=(D1, ...D i ...D n ), n represents the number of temperature measurement points of the optical fiber sensor, then the calculation parameter b i ,

[0071]

[0072] In the above formula, c is the correction coefficient, which can be any number between 0.02 and 0.08;

[0073] The calculated b i Value and temperature data at corresponding position t i Multiply them to get the second corrected temperature set T i修 and the temperature matrix T 修 .

[0074] Among them, according to the temperature set T i修 and the temperature matrix T 修 , determine the suspected leakage point, including:

[0075] Set the temperature change threshold and calculate the temperature set T i修 The average value of all temperature data in the data is calculated, and then the difference between the temperature value of each temperature measuring point and the average value is calculated to determine the relationship between the corresponding difference value of each temperature measuring point and the temperature change threshold. If the corresponding difference value exceeds the temperature change threshold, the temperature measuring point ID corresponding to the difference value and the corresponding temperature measurement time are obtained;

[0076] Repeat the calculation of all differences corresponding to each temperature measuring point for each temperature set in the temperature matrix, obtain the relationship between all differences of each temperature measuring point and the temperature change threshold, obtain the temperature measuring point ID and the corresponding temperature measurement time whose corresponding difference exceeds the temperature change threshold, and determine whether the temperature measurement time is continuous. If it is continuous for more than two times, the temperature measuring point is a suspected leakage point.

[0077] The temperature change threshold can be set as required, for example, it can be set as the temperature set T i修 0.2 times, or 0.3 times, the average value of all temperature data in .

[0078] Embodiment 2

[0079] This embodiment provides a petrochemical passive stereo temperature measurement system, which is used to execute the petrochemical passive stereo temperature measurement method provided in the first embodiment. Figure 2 As shown, the petrochemical passive three-dimensional temperature measurement system includes:

[0080] The optical fiber sensor array 2 is connected in series in sequence, and the optical fiber sensor array 2 is spirally wound on the outer wall of the storage tank 1. The beginning and the end of the optical fiber sensor array 2 are connected to the optical fiber temperature measurement host, and the optical fiber temperature measurement host is connected to the display device.

[0081] Embodiment 3

[0082] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the petrochemical passive stereoscopic temperature measurement method provided in the first embodiment is implemented.

[0083] The above specific implementation methods are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to examples, a person skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A petrochemical passive three-dimensional temperature measurement method, characterized in that: include: A distributed optical fiber sensor array is deployed on the outer wall of a petrochemical storage tank, and an ID is assigned to each optical fiber sensor, and each optical fiber sensor ID is recorded; Temperature monitoring is performed through the optical fiber sensor array. The temperature data obtained at time i is the temperature set T i =(t1, t2…t i ……t n ), where n represents the number of temperature measurement points of the optical fiber sensor. The optical fiber sensor monitors the temperature at a certain frequency. The temperature data obtained within 24 hours is the temperature matrix T = (T1, T2, ... T i ……T k ), where k represents the number of measurements within 24 hours; Get the ambient temperature, perform the first correction on each temperature in the temperature set, and get the corrected temperature set T i校 and temperature matrix T correction; Obtain the location information of each optical fiber sensor, perform a second correction on each temperature in the temperature set, and obtain the corrected temperature set T i修 and temperature matrix Txiu; According to the temperature set T i修 and temperature matrix Txiu to determine suspected leak points.

2. The petrochemical passive three-dimensional temperature measurement method according to claim 1, characterized in that: Get the ambient temperature and make the first correction to each temperature in the temperature set, including: Acquire the ambient temperature according to the set cycle to form an ambient temperature data set Tloop = (T 1环 , T 2环 , ... T i环 ……T j环 ), where j represents the number of times the ambient temperature is measured within 24 hours; Compare the time when the fiber optic sensor array monitors the temperature with the time when the ambient temperature is obtained to establish the ambient temperature T i环 The corresponding relationship with the temperature set is used to obtain the corresponding relationship network between the ambient temperature and the temperature set; Using the ambient temperature and influencing factor database, obtain the ambient temperature T i环 The corresponding first impact factor data; Calculate the difference between adjacent ambient temperatures, using the ambient temperature and influencing factor database, ambient temperature T i环 The corresponding second impact factor data; Based on the first and second influencing factors, the ambient temperature T i环 The corresponding temperature set is subjected to the first calibration.

3. The petrochemical passive three-dimensional temperature measurement method according to claim 2, characterized in that: The establishment of the database of ambient temperature and influencing factors is as follows: Arrange a number of optical fiber sensors on a test sample, the test sample is a barrel, the material of the barrel is the same as the material of the outer wall of the storage tank, and the diameter of the barrel is less than 2 meters; change the ambient temperature of the barrel to obtain optical fiber sensor data under different ambient temperatures; repeat the measurement for no less than 20 times at each ambient temperature; Calculate each ambient temperature t i The average value of all temperatures measured by the fiber optic sensors under the ring is t i Average, obtain the maximum temperature t measured by the optical fiber sensor at each ambient temperature imax and minimum temperature t imin , calculate the parameter a i : The ambient temperature t i Ring as the dependent variable, a i As an independent variable, simulate t i Ring, α i The relational model is the ambient temperature and influencing factor database.

4. The petrochemical passive three-dimensional temperature measurement method according to claim 3 is characterized in that: Simulate i Ring, a i The relationship model includes: using exponential model, linear function model, quadratic function model, logarithmic function model to simulate t i Ring, a i The relationship between the exponential model, linear function model, quadratic function model, and logarithmic function model is selected as the final relationship model.

5. The petrochemical passive three-dimensional temperature measurement method according to claim 3 or 4, characterized in that: Using the ambient temperature and influencing factor database, obtain the ambient temperature T i环 The corresponding first influencing factor data specifically includes: inputting the ambient temperature into t i Ring, a i In the relationship model, calculate the a corresponding to the ambient temperature i value as the first impact factor data.

6. The petrochemical passive three-dimensional temperature measurement method according to claim 3 or 4, characterized in that: Calculate the difference between adjacent ambient temperatures, using the ambient temperature and influencing factor database, ambient temperature T i环 The corresponding second impact factor data; specifically including: Calculate the current ambient temperature T i环 The ambient temperature T at the previous moment i-1环 The difference ΔT i环 , the difference ΔT i环 Substituting into the relationship model, the difference ΔT is calculated i环 The corresponding a i value as the second influencing factor data.

7. The petrochemical passive three-dimensional temperature measurement method according to claim 1, characterized in that: Based on the first and second influencing factors, the ambient temperature T i环 The corresponding temperature set is first corrected, specifically including: adding the first influencing factor and the second influencing factor, and then adding the sum to the ambient temperature T i环 Each temperature in the corresponding temperature set is multiplied to obtain the temperature set after the first correction.

8. The petrochemical passive three-dimensional temperature measurement method according to claim 1, characterized in that: Obtain the location information of each optical fiber sensor, perform a second correction on each temperature in the temperature set, and obtain the corrected temperature set T i修 And temperature matrix T repair; specifically including: The transmission distance between each optical fiber sensor and the optical fiber temperature measurement host is obtained, wherein the optical fiber temperature measurement host performs bidirectional channel transmission and demodulation on the beginning and end of the optical fiber where the optical fiber sensor is located to obtain the temperature measurement value; a transmission distance set D=(D1, ...D i ...D n ), n represents the number of temperature measurement points of the optical fiber sensor, then the calculation parameter b i , In the above formula, c is the correction coefficient, which can be any number between 0.02 and 0.08; The calculated b i Value and temperature data at corresponding position t i Multiply them to get the second corrected temperature set T i修 and the temperature matrix Txiu.

9. The petrochemical passive three-dimensional temperature measurement method according to claim 1, characterized in that: According to the temperature set T i修 and temperature matrix T repair to determine the suspected leakage point, including: Set the temperature change threshold and calculate the temperature set T i修 The average value of all temperature data in the data is calculated, and then the difference between the temperature value of each temperature measuring point and the average value is calculated to determine the relationship between the corresponding difference value of each temperature measuring point and the temperature change threshold. If the corresponding difference value exceeds the temperature change threshold, the temperature measuring point ID corresponding to the difference value and the corresponding temperature measurement time are obtained; Repeat the calculation of all differences corresponding to each temperature measuring point for each temperature set in the temperature matrix, obtain the relationship between all differences of each temperature measuring point and the temperature change threshold, obtain the temperature measuring point ID and the corresponding temperature measurement time whose corresponding difference exceeds the temperature change threshold, and determine whether the temperature measurement time is continuous. If it is continuous for more than two times, the temperature measuring point is a suspected leakage point.

10. A petrochemical passive stereo temperature measurement system, used to implement the petrochemical passive stereo temperature measurement method according to any one of claims 1 to 9, characterized in that: The petrochemical passive three-dimensional temperature measurement system comprises: The optical fiber sensor array is connected in series in sequence, and the optical fiber sensor array is spirally wound on the outer wall of the storage tank. The starting end and the end of the optical fiber sensor array are connected to the optical fiber temperature measurement host, and the optical fiber temperature measurement host is connected to the display device.

11. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the petrochemical passive stereoscopic temperature measurement method according to any one of claims 1 to 9 is implemented.

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