A petrochemical passive stereoscopic temperature measurement method and system and storage medium

Abstract

The present application relates to the technical field of temperature intelligent monitoring, in particular to a petrochemical passive three-dimensional temperature measurement method, system and storage medium. The method comprises: laying a distributed optical fiber sensor array and recording the ID of each optical fiber sensor; temperature monitoring is performed to obtain a temperature set and a temperature matrix; the ambient temperature is obtained, the first correction is performed, the position information of each optical fiber sensor is obtained, the second correction is performed, and the corrected temperature set and temperature matrix are obtained; and the suspected leakage point is determined. The present application has high execution degree and high test precision. Since the service life of the optical fiber sensor is long, the temperature measurement method of the present application can accurately locate the leakage point and avoid safety accidents.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of temperature intelligent monitoring, and particularly relates to a passive three-dimensional temperature measurement method and system for petrochemical industry and a storage medium. BACKGROUND

[0002] In the field of petrochemical industry, products such as gasoline and liquefied natural gas are usually stored in storage tanks. Since the oil products have the dangerous properties of being flammable and explosive, during the storage of the oil products, the parameters of the storage tank need to be monitored, so as to adjust the storage conditions of the storage tank in time, avoid damage to the storage tank, and find the damage point in time according to the parameters. At present, the monitoring methods of the petrochemical storage tank mainly include visual monitoring, sound monitoring, gas leakage monitoring, and temperature monitoring. The temperature monitoring is used to monitor the environment temperature of the storage tank to avoid that the temperature of the storage tank is too high or too low, and to monitor whether the storage tank leaks.

[0003] The traditional temperature monitoring methods include thermocouple temperature sensor temperature measurement and infrared temperature measurement. Since the volume of the storage tank is large, it is difficult to implement the thermocouple temperature sensor temperature measurement and the infrared temperature measurement, the installation cost is high, and the test precision is limited. SUMMARY

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

[0005] To achieve the above purpose, the technical scheme of the present application is as follows:

[0006] In the first aspect, the present application provides a passive three-dimensional temperature measurement method for petrochemical industry, comprising:

[0007] A distributed optical fiber sensor array is arranged on the outer wall of the petrochemical storage tank, each optical fiber sensor is assigned an ID value, and the ID of each optical fiber sensor is recorded.

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

[0009] The environment temperature is obtained, the first correction is performed on each temperature in the temperature set, and the corrected temperature set T i校 and the temperature matrix T 校;

[0010] Obtaining position information of each optical fiber sensor, performing second correction on each temperature in the temperature set, and obtaining a 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] Further, obtain the ambient temperature, and perform first correction on each temperature in the temperature set, specifically including:

[0013] Obtain the ambient temperature according to the set period, and form an ambient temperature data set T 环 =(T 1环 , T 2环 , ……T i环 ……T j环 ), wherein j represents the number of times of measuring the ambient temperature within 24 hours;

[0014] Compare the time of temperature monitoring of the optical fiber sensor array with the time of obtaining the ambient temperature, establish the corresponding relationship between the ambient temperature T 环 and the temperature set, and obtain the corresponding relationship network of the ambient temperature and the temperature set;

[0015] Obtain the first influence factor data corresponding to the ambient temperature T 环 by using the ambient temperature and influence factor database;

[0016] Calculate the difference value of adjacent ambient temperatures, and obtain the second influence factor data corresponding to the ambient temperature T 环 by using the ambient temperature and influence factor database;

[0017] Based on the first influence factor and the second influence factor, perform first correction on the temperature set corresponding to the ambient temperature T 环 .

[0018] Further, the establishment of the ambient temperature and influence factor database specifically includes:

[0019] Arrange a plurality 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, and obtain optical fiber sensor data under different ambient temperatures; the number of repeated measurements under each ambient temperature is not less than 20 times;

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

[0021]

[0022] Taking the environment temperature t i环 as the dependent variable and a i as the independent variable, a relationship model of t i环 and a i is simulated, and the relationship model is the environment temperature and the influence factor database.

[0023] Further, the relationship model of t i环 and a i is simulated, and specifically includes: simulating the relationship of t i环 and a i by using an exponential model, a linear function model, a quadratic function model and a logarithmic function model, and selecting the one with the highest fitting correlation coefficient from the exponential model, the linear function model, the quadratic function model and the logarithmic function model as the final relationship model.

[0024] Further, the first influence factor data corresponding to the environment temperature T i环 is obtained by using the environment temperature and the influence factor database, and specifically includes: inputting the environment temperature into the relationship model of t i环 and a i , calculating the a i value corresponding to the environment temperature as the first influence factor data.

[0025] Further, the difference between adjacent environment temperatures is calculated, and the second influence factor data corresponding to the environment temperature T i环 is obtained by using the environment temperature and the influence factor database; specifically includes:

[0026] The difference ΔT i环 between the current environment temperature T i环 and the previous environment temperature T i-1环 is calculated, the difference ΔT i环 is substituted into the relationship model, and the a i value corresponding to the difference ΔT i环 is calculated as the second influence factor data.

[0027] Further, the temperature set corresponding to the environment temperature T i环 is corrected for the first time based on the first influence factor and the second influence factor, and specifically includes: adding the first influence factor and the second influence factor, and adding the environment temperature T i环The corresponding temperature set is multiplied by each temperature to obtain a first corrected temperature set.

[0028] Further, position information of each optical fiber sensor is acquired, each temperature in the temperature set is corrected for a second time to obtain a corrected temperature set T i修 and a temperature matrix T 修 ; specifically comprising:

[0029] The transmission distance between each optical fiber sensor and the optical fiber temperature measuring host is acquired, wherein the optical fiber temperature measuring host performs bidirectional channel transmission and demodulation on the start end and the end of the optical fiber of the optical fiber sensor to obtain a 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 a correction coefficient, and is any number between 0.02 and 0.08;

[0032] The calculated b i value is multiplied by the temperature measurement data t i of the corresponding position to obtain a second corrected temperature set T i修 and a temperature matrix T 修 .

[0033] Further, according to the temperature set T i修 and the temperature matrix T 修 , a suspected leakage point is determined, specifically comprising:

[0034] A temperature change threshold is set, the average value of all temperature data in the temperature set T i修 is calculated, then the difference between each temperature measurement point and the average value is calculated, the relationship between the corresponding difference value and the temperature change threshold of each temperature measurement point is judged, if the corresponding difference value exceeds the temperature change threshold, the temperature measurement point ID corresponding to the difference value and the corresponding temperature measurement time are acquired;

[0035] The all difference values corresponding to each temperature measurement point in each temperature set in the temperature matrix are repeatedly calculated, the relationship between all difference values of each temperature measurement point and the temperature change threshold is acquired, the temperature measurement point ID corresponding to the difference value exceeding the temperature change threshold and the corresponding temperature measurement time are acquired, whether the temperature measurement time is continuous is judged, if more than twice, the temperature measurement point is a suspected leakage point.

[0036] In a second aspect, the present application provides a petrochemical passive three-dimensional temperature measurement system for executing the above-mentioned petrochemical passive three-dimensional temperature measurement method, the petrochemical passive three-dimensional temperature measurement system comprising:

[0037] The fiber sensor array is spirally wound on the outer wall of the storage tank, and the beginning end and the ending end of the fiber sensor array are connected to a fiber temperature measuring host, and the fiber temperature measuring host is connected to a display device.

[0038] In a third aspect, the present application provides a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the above-mentioned passive three-dimensional temperature measurement method for petrochemical industry.

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

[0040] The passive three-dimensional temperature measurement method for petrochemical industry provided by the present application can monitor the temperature through the fiber sensor array arranged on the outer wall of the storage tank, correct the measured temperature data by using the environmental temperature and the positions of the temperature measuring points, obtain more accurate temperature data, and perform leakage point judgment by using the temperature data, so that the execution degree is high, the test precision is high, the service life of the fiber sensor is long, the cost is low compared with the traditional temperature measurement method, the service period is long, and maintenance is not required. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 The present application is a method logic diagram.

[0042] Figure 2 The present application is a system structure schematic diagram. DETAILED DESCRIPTION

[0043] The technical solutions of the present application will be described clearly below in conjunction with the accompanying drawings, and obviously, the described embodiments are not all the embodiments of the present application, and all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0044] It should be noted that, unless otherwise specified, the relative arrangement of the components and steps, numerical expressions described in these embodiments should not be understood as limiting the scope of the present application.

[0045] The following description of exemplary embodiments is merely illustrative in nature and is in no way intended to limit the present application or its application or use in any way. Here, the technologies, methods and devices known to those skilled in the relevant art may not be discussed in detail, but in the case of applying these technologies, methods and devices, these technologies, methods and devices should be considered as part of the present specification.

[0046] Embodiment one

[0047] The embodiment provides a passive three-dimensional temperature measurement method for petroleum chemical industry, which comprises the following steps as shown in the figure: Figure 1

[0048] An array of distributed optical fiber sensors is arranged on the outer wall of a petroleum chemical storage tank, and each optical fiber sensor is assigned with an ID, and the ID of each optical fiber sensor is recorded;

[0049] Temperature monitoring is performed through the array of optical fiber sensors, and the temperature monitoring is regularly performed according to a set time. Therefore, the temperature data obtained at the ith moment is recorded as a temperature set T i =(t1, t2……tn) i ……tn n ), wherein n represents the number of temperature measurement points of the optical fiber sensor, the optical fiber sensor performs temperature monitoring at a certain frequency, and the temperature data obtained within 24 hours is a temperature matrix T=(T1, T2,……Tk) i ……Tk k ), wherein k represents the number of measurements within 24 hours;

[0050] Since the environmental temperature has a certain influence on the measurement result of the optical fiber sensor, the environmental temperature is obtained, each temperature in the temperature set is corrected for the first time, and a corrected temperature set T i校 and a temperature matrix T 校 are obtained;

[0051] The position information of each optical fiber sensor is obtained, each temperature in the temperature set is corrected for the second time, and a corrected temperature set T i修 and a temperature matrix T 修 are obtained;

[0052] The suspected leakage point is determined according to the temperature set T i修 and the temperature matrix T 修 .

[0053] The environmental temperature is obtained, and each temperature in the temperature set is corrected for the first time, and the specific steps include:

[0054] The environmental temperature is obtained according to a set period, and an environmental temperature data set T 环 =(T 1环 , T 2环 ,……T i环 ……T j环 ) is formed, wherein j represents the number of times of measuring the environmental temperature within 24 hours;

[0055] The moment of temperature monitoring of the array of optical fiber sensors is compared with the moment of obtaining the environmental temperature, and the environmental temperature T i环 ​Corresponding relationship between the temperature set and the environmental temperature is obtained, specifically, the time when the fiber sensor array is monitored and the time when the environmental temperature is obtained are compared, and the environmental temperature at one time is compared with each temperature monitoring time, and the closest temperature monitoring time is selected, and the temperature set corresponding to the temperature monitoring time is established corresponding relationship with the environmental temperature at that time. The time of all the environmental temperature is convenient, and the corresponding relationship network between the environmental temperature and the temperature set is established.

[0056] Then, the environmental temperature T i环 is obtained by using the environmental temperature and influence factor database.

[0057] The difference between adjacent environmental temperatures is calculated, and the environmental temperature T i环 is obtained by using the environmental temperature and influence factor database.

[0058] Based on the first influence factor and the second influence factor, the environmental temperature T i环 is corrected for the first time.

[0059] The establishment of the environmental temperature and influence factor database is specifically as follows:

[0060] A plurality of fiber sensors are arranged on the 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; the environmental temperature of the barrel is changed, and the fiber sensor data under different environmental temperatures is obtained; the number of repeated measurements at each environmental temperature is not less than 20 times;

[0061] The average value t i环 of all temperatures measured by the fiber sensor under each environmental temperature t i均 is calculated, the maximum temperature t imax and the minimum temperature t imin measured by the fiber sensor under each environmental temperature are obtained, and the parameter a i is calculated.

[0062]

[0063] The environmental temperature t i环 is taken as the dependent variable, and a i is taken as the independent variable, and the relationship model of t i环 , a i is simulated, and the relationship model is the environmental temperature and influence factor database.

[0064] The relationship model of t i环 , a iThe relationship model of t i环 , a i is selected from the exponential model, the linear function model, the quadratic function model and the logarithmic function model, and the one with the highest fitting correlation coefficient is selected as the final relationship model.

[0065] The environmental temperature T i环 corresponding to the first influence factor data is obtained by using the environmental temperature and influence factor database, and specifically includes the following steps. i环 The value of a i corresponding to the environmental temperature is calculated by inputting the environmental temperature into the relationship model of t i , a i环 , and the value is taken as the first influence factor data.

[0066] The difference between adjacent environmental temperatures is calculated, and the second influence factor data corresponding to the environmental temperature T i环 is obtained by using the environmental temperature and influence factor database; specifically includes the following steps.

[0067] The difference ΔT i-1环 between the current environmental temperature T i环 and the previous environmental temperature T i环 is calculated, and the difference ΔT i环 is substituted into the relationship model to calculate the value of a i corresponding to the difference ΔT i环 , which is taken as the second influence factor data.

[0068] The temperature set corresponding to the environmental temperature T i环 is corrected for the first time based on the first influence factor and the second influence factor, and specifically includes the following steps.

[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 includes the following steps.

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

[0071]

[0072] In the formula, c is a correction coefficient, and is any number between 0.02 and 0.08;

[0073] The calculated b i value is multiplied by the temperature measurement data t i of the corresponding position to obtain a second corrected temperature set T i修 and a temperature matrix T 修 .

[0074] The suspected leakage point is determined according to the temperature set T i修 and the temperature matrix T 修 , and specifically includes:

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

[0076] The difference value corresponding to each temperature measurement point is repeatedly calculated for each temperature set in the temperature matrix, the relationship between all difference values of each temperature measurement point and the temperature change threshold is obtained, the temperature measurement point ID and the corresponding temperature measurement time corresponding to the difference value exceeding the temperature change threshold are obtained, and it is determined whether the temperature measurement time is continuous. If it is continuous for more than twice, the temperature measurement point is a suspected leakage point.

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

[0078] Embodiment Two

[0079] The embodiment provides a petrochemical passive three-dimensional temperature measurement system for executing the petrochemical passive three-dimensional temperature measurement method provided in Embodiment One, as shown in the figure, the petrochemical passive three-dimensional temperature measurement system comprises: Figure 2

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

[0081] Embodiment Three

[0082] The embodiment provides a computer readable storage medium, and the storage medium stores a computer program. When the computer program is executed by a processor, the petrochemical passive three-dimensional temperature measurement method provided in Embodiment One is realized.​

[0083] The above detailed description merely illustrates the technical solutions of the present application and does not limit the present application. Although the present application is described in detail with reference to the examples, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or equivalently replaced without departing from the scope of the technical solutions of the present application, and all these modifications and equivalents should be included in the scope of the claims of the present application.

Claims

1. A petrochemical passive stereotemperature measurement method, characterized in that, The application relates to a petroleum chemical passive three-dimensional temperature measurement system and method. A distributed optical fiber sensor array is arranged on the outer wall of a petroleum chemical storage tank, each optical fiber sensor is assigned an ID, and the ID of each optical fiber sensor is recorded; Temperature data obtained at time i is a temperature set T i =(t1, t2…tn) i …tn) n , where n represents the number of temperature measurement points of the optical fiber sensor, the optical fiber sensor performs temperature monitoring at a certain frequency, and the temperature data obtained within 24 hours is a temperature matrix T=(T1, T2, …Tk) i …Tk) k , where k represents the number of measurements within 24 hours; Obtain the ambient temperature, and perform a first correction on the temperature set to obtain a corrected temperature set T i校 and the temperature matrix T 校 ; Obtain the position information of each optical fiber sensor, and perform second correction on each temperature in the temperature set to obtain a corrected temperature set T i修 and the temperature matrix T 修 ; According to the temperature set T i修 and the temperature matrix T 修 , a suspected leakage point is determined; An ambient temperature is obtained, and each temperature set is first corrected, specifically including: Obtaining the ambient temperature according to a set period to form an ambient temperature dataset T 环 = (T 1环 , T 2环 , ……T i环 ……T j环 ), wherein j represents the number of times of measuring the ambient temperature within 24 hours; The moment of temperature monitoring of the optical fiber sensor array is compared with the moment of acquiring the ambient temperature, and the corresponding relationship between the ambient temperature T i环 and the temperature set is established to obtain the corresponding relationship network between the ambient temperature and the temperature set; Obtain the ambient temperature T by using the ambient temperature and influence factor database i环 Corresponding first influence factor data; A difference of the adjacent ambient temperature is calculated, and the ambient temperature T is obtained by using an ambient temperature and influence factor database i环 corresponding second influence factor data; based on the first influence factor and the second influence factor, the ambient temperature T i环 a first correction is performed on the corresponding temperature set; An ambient temperature and an influence factor database are established, and the specific method is as follows: A plurality of optical fiber sensors are arranged on a test sample, the test sample is a barrel, the material of the barrel is the same as that of the outer wall of the storage tank, and the diameter of the barrel is less than 2 meters; the ambient temperature of the barrel is changed, and optical fiber sensor data under different ambient temperatures are obtained; the number of repeated measurements under each ambient temperature is not less than 20 times; Calculate each ambient temperature t i环 The average value t of all temperatures measured by the fiber optic sensor. i均 Obtain the maximum temperature t measured by the fiber optic sensor under each ambient temperature. imax and minimum temperature t imin Calculate parameter a i : The environmental temperature t i环 As the dependent variable, a i As the independent variable, the relationship model of t i环 , a i is simulated, and the relationship model is the environmental temperature and the influence factor database.

2. The petrochemical passive stereotemperatur e method according to claim 1, characterized in that, simulate the relationship model of t i环 , a i , specifically comprising: respectively simulating the relationship of t i环 , a i in an exponential model, a linear function model, a quadratic function model and a logarithmic function model, and selecting the one with the highest fitting correlation coefficient from the exponential model, the linear function model, the quadratic function model and the logarithmic function model as the final relationship model.

3. The petrochemical passive stereotemperatur e method according to claim 1, characterized in that, Obtain the ambient temperature T by using the ambient temperature and influence factor database i环 The corresponding first influence factor data specifically includes: inputting the ambient temperature t i环 , a i relationship model, the corresponding a i value of the ambient temperature is calculated as the first influence factor data.

4. The petrochemical passive stereotemperatur e method according to claim 1, characterized in that, The difference of the adjacent environment temperature is calculated, and the environment temperature T i环 The corresponding second influence factor data; specifically includes: calculating a current ambient temperature T i环 the difference ΔT i-1环 between the ambient temperature T i环 at the previous time and the current ambient temperature T i环 substituting the difference ΔT i环 into the relationship model to calculate a corresponding a i value as second influence factor data.

5. The petrochemical passive stereotemperaturimetry method according to claim 1, characterized in that, based on the first influence factor and the second influence factor, the ambient temperature T i环 The first correction is performed on the corresponding temperature set, specifically including: adding the first influence factor and the second influence factor, and multiplying each temperature in the corresponding temperature set after the addition with the ambient temperature T i环 The first correction is performed on the corresponding temperature set, specifically including: adding the first influence factor and the second influence factor, and multiplying each temperature in the corresponding temperature set after the addition with the ambient temperature T 6. The petrochemical passive stereotemperaturimetry method according to claim 1, characterized in that, Obtain the position information of each optical fiber sensor, and perform a second correction on each temperature in the temperature set to obtain a corrected temperature set T i修 and the temperature matrix T 修 ; specifically comprising: Obtaining the transmission distance between each optical fiber sensor and the optical fiber temperature measuring host, wherein the optical fiber temperature measuring 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; forming a transmission distance set D=(D1, …D i ……D n ), n represents the number of temperature measurement points of the optical fiber sensor, then calculating the parameter b i , In the formula, c is a correction coefficient, and is any number between 0.02 and 0.08; The calculated b i values are multiplied with the temperature measurement data t i of the corresponding positions, resulting in a second corrected temperature set T i修 and a temperature matrix T 修 .

7. The petrochemical passive stereotemperaturimetry method according to claim 1, characterized in that, According to the temperature set T i修 and the temperature matrix T 修 , the suspected leakage point is determined, specifically comprising: Set a temperature change threshold, calculate the temperature set T i修 The average value of all temperature data is calculated, and then the difference between the temperature value of each temperature measurement point and the average value is calculated. The relationship between the corresponding difference value of each temperature measurement point and the temperature change threshold is determined. If the corresponding difference value exceeds the temperature change threshold, the temperature measurement point ID corresponding to the difference value and the corresponding temperature measurement time are obtained. The relationship between all the difference values corresponding to each temperature measuring point in each temperature set and the temperature change threshold value is obtained by repeatedly calculating the difference values, the ID of the temperature measuring point and the corresponding temperature measuring time when the corresponding difference value exceeds the temperature change threshold value are obtained, and it is judged whether the temperature measuring time is continuous; if the temperature measuring time is continuous for more than twice, the temperature measuring point is a suspected leakage point.

8. A petrochemical passive stereotemperature system for performing the petrochemical passive stereotemperature method of any one of claims 1-7, characterized by, The petroleum chemical passive three-dimensional temperature measurement system comprises: The optical fiber sensor array is spirally wound on the outer wall of the storage tank, and the start 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.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is executed by the processor to realize the petroleum chemical passive three-dimensional temperature measurement method in any one of claims 1-7.

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