Long and narrow space environment temperature monitoring method and temperature sensing optical fiber environment temperature monitoring system

By introducing short-time and long-time ambient temperature calculation methods into fiber optic temperature sensors and combining them with the quartile method for anomaly detection, the problem of inaccurate temperature calculation by fiber optic temperature sensors when equipment heats up for a short time is solved, achieving higher temperature monitoring accuracy and reliability.

CN121026348APending Publication Date: 2025-11-28713TH RES INST OF CHINA STATE SHIPBUILDING CORP LTD +1
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202511372440.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-24
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

Existing fiber optic temperature sensors have difficulty accurately reflecting the actual temperature when calculating ambient temperature, especially when the equipment heats up for a short period of time, which causes the system to fail to trigger temperature alarms correctly.

Method used

A combination of short-term and long-term ambient temperature methods is adopted. By setting the data acquisition and update cycles, the temporary short-term and temporary long-term ambient temperatures of each temperature measurement point in a narrow space are calculated respectively. The short-term temperature reflects the temperature change in a short period of time, while the long-term temperature reduces the impact of equipment heating on the temperature. Abnormal temperatures are detected by combining the quartile method.

Benefits of technology

It improves the accuracy of ambient temperature calculation, reduces the impact of short-term heat generation on temperature, enhances the precision and reliability of temperature monitoring, and broadens application scenarios.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of temperature monitoring, and provides a long and narrow space environment temperature monitoring method and a temperature sensing optical fiber environment temperature monitoring system. The method comprises the steps that firstly, real-time temperature values of all temperature measuring points in the long and narrow space are collected in real time according to a set data collection period; then, the real-time temperature values of all the temperature measuring points are counted according to the set short-time environment temperature time, the temporary short-time environment temperature of all the temperature measuring points is obtained, the short-time environment temperature is obtained through the temporary short-time environment temperature of all the temperature measuring points, and the short-time environment temperature is updated according to the set updating period; the real-time temperature value of each temperature measurement point is counted according to the set long-time environment temperature time, the temporary long-time environment temperature of each temperature measurement point is obtained, the long-time environment temperature is obtained by using the temporary long-time environment temperature of each temperature measurement point, and the long-time environment temperature is updated according to the set updating period. And the accuracy of the calculated environment temperature is effectively improved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of temperature monitoring, and particularly relates to a long and narrow space environment temperature monitoring method and a temperature sensing fiber environment temperature monitoring system. BACKGROUND

[0002] In recent years, distributed optical fiber temperature sensors (i.e. temperature sensing fibers) have been widely used in the field of temperature monitoring. The temperature sensor utilizes Raman scattering effect and OTDR technology to realize distributed measurement of temperature field. The distributed optical fiber temperature sensor generally includes a light source, an optical circulator, an optical fiber, an optical fiber grating and an analysis device. When in use, the laser output by the light source enters the optical fiber after passing through the optical circulator and is reflected along the optical fiber. The laser collides with the molecules of the optical fiber medium during transmission in the optical fiber, generating backscattering Stokes scattering light and anti-Stokes Raman scattering light. Among them, the backscattering Stokes Raman scattering light is more sensitive to temperature. Therefore, the temperature value of the scattering point can be calculated according to the temperature information contained in the backscattering Stokes Raman scattering light by using the analysis device, and the position of the scattering point can be determined by using the optical time domain reflection technology, thereby realizing distributed measurement of the temperature field along the optical fiber. Compared with traditional electrical temperature sensors, the optical fiber temperature sensor has higher sensitivity and stronger anti-electromagnetic interference capability. At the same time, the light is transmitted in the optical fiber arranged in the environment, which has a higher safety factor compared with the electrical temperature sensor which needs to be connected by an electrical circuit. Therefore, the optical fiber temperature sensor has been widely used in the fields of underground mines, subway tunnels, oil storage tanks and power systems.

[0003] When the existing optical fiber temperature sensor is used for temperature monitoring, the temperature of each point is usually monitored in real time to calculate the environmental temperature, and it is judged whether each point on the optical fiber temperature sensor has a temperature that is too high based on the environmental temperature. For example, a distributed optical fiber fire monitoring method with adaptive environmental temperature is disclosed in a Chinese patent application file with the application publication number CN116046206A. The temperature of each temperature measuring point in the environment is monitored in real time by using the optical fiber temperature sensor, and the average value of the remaining data is taken as the environmental temperature T0 after removing the high-temperature abnormal points. Subsequently, during real-time monitoring, if the real-time temperature T nWhen the difference between the real-time temperature and the environment temperature is greater than or equal to the relative temperature threshold, the system triggers the alarm. The application file uses the average temperature of the real-time temperature data as the environment temperature. However, due to the complexity of the actual application scenario, it is difficult to accurately calculate the environment temperature using the real-time temperature collected by the optical fiber temperature sensor. For example, if the optical fiber is arranged around the equipment to monitor the heating of the equipment, the temperature of the optical fiber temperature sensor will rise in a short time due to the heating of the equipment, but the environment temperature will not rise significantly due to the short-time heating of the equipment. At this time, the environment temperature calculated by using the real-time temperature is slightly higher than the actual temperature, and the difference between the real-time temperature and the calculated environment temperature is smaller than the difference between the real-time temperature and the actual temperature, which may cause the system to not trigger the environment temperature alarm correctly.

[0004] In addition to the scheme of calculating the environment temperature using the real-time temperature, the prior art also proposes a scheme of obtaining the environment temperature by analyzing the historical temperature. However, the time span of the historical temperature is not considered in the analysis. In the use scenario where the temperature changes quickly, if the time span of the historical temperature is large, the environment temperature change obtained by analyzing the historical temperature will have a lag, and cannot truly reflect the current environment temperature. SUMMARY

[0005] The purpose of the present application is to provide a long and narrow space environment temperature monitoring method and a temperature sensing optical fiber environment temperature monitoring system to solve the problem that the calculation result of the existing environment temperature calculation scheme is far away from the real temperature.

[0006] The present application provides a long and narrow space environment temperature monitoring method to solve the above technical problems, comprising the following steps: 1) Real-time temperature values of each temperature measuring point in the long and narrow space are collected in real time according to a set data collection period; 2) The real-time temperature values of each temperature measuring point are respectively counted according to a set short-time environment temperature time to obtain temporary short-time environment temperatures of each temperature measuring point, a short-time environment temperature is obtained using the temporary short-time environment temperatures of each temperature measuring point, and the short-time environment temperature is updated according to a set update period; The real-time temperature values of each temperature measuring point are respectively counted according to a set long-time environment temperature time to obtain temporary long-time environment temperatures of each temperature measuring point, a long-time environment temperature is obtained using the temporary long-time environment temperatures of each temperature measuring point, and the long-time environment temperature is updated according to a set update period.

[0007] Further, the short-time ambient temperature is an average of temporary short-time ambient temperatures of each temperature measuring point, and the temporary short-time ambient temperature of each temperature measuring point is a median value or an average of each temperature value collected by the temperature measuring point within the short-time ambient temperature time without invalid temperature; the long-time ambient temperature is an average of temporary long-time ambient temperatures of each temperature measuring point, and the temporary long-time ambient temperature of each temperature measuring point is a median value or an average of each temperature value collected by the temperature measuring point within the long-time ambient temperature time without invalid temperature.

[0008] Further, when the short-time ambient temperature is updated, if there is invalid temperature in the real-time temperature value collected by the temperature measuring point within the short-time ambient temperature time in the current update period, the temporary short-time ambient temperature of the temperature measuring point is not updated, and the short-time ambient temperature of the current update period is calculated by using the temporary short-time ambient temperature of the temperature measuring point determined in the last update period; the initial values of the short-time ambient temperature and the long-time ambient temperature are averages of the real-time temperature values collected by each temperature measuring point for the first time.

[0009] Further, the length of the long-time ambient temperature time is an integer multiple of the length of the short-time ambient temperature time, and the long-time ambient temperature is updated by using the updated short-time ambient temperature.

[0010] Further, the invalid temperature refers to a temperature in a pre-warning state, a fire state or an abnormal temperature state; when the real-time temperature value of a certain temperature measuring point is greater than a pre-warning threshold value from the long-time ambient temperature or the short-time ambient temperature determined in the last update period, the real-time temperature value is marked as the pre-warning state; when the real-time temperature value of a certain temperature measuring point is greater than a fire threshold value from the long-time ambient temperature or the short-time ambient temperature determined in the last update period, the real-time temperature value is marked as the fire state; when the real-time temperature value of a temperature measuring point measured within the short-time ambient temperature time is greater than a normal range after being processed by the quartile method, the real-time temperature value greater than the normal range is marked as the abnormal temperature state.

[0011] A temperature sensing optical fiber ambient temperature monitoring system, comprising an analysis device and optical fiber temperature sensors arranged at temperature measuring points in an optical fiber, the optical fiber temperature sensors are used to collect real-time temperatures of corresponding monitoring points according to a set data collection period, the analysis device is used to respectively count real-time temperature values of each temperature measuring point according to a set short-time ambient temperature time, to obtain temporary short-time ambient temperatures of each temperature measuring point, to obtain a short-time ambient temperature by using the temporary short-time ambient temperatures of each temperature measuring point, and to update the short-time ambient temperature according to a set update period; the analysis device is also used to respectively count real-time temperature values of each temperature measuring point according to a set long-time ambient temperature time, to obtain temporary long-time ambient temperatures of each temperature measuring point, to obtain a long-time ambient temperature by using the temporary long-time ambient temperatures of each temperature measuring point, and to update the long-time ambient temperature according to a set update period.

[0012] Further, the short-time ambient temperature is an average of temporary short-time ambient temperatures of each temperature measuring point, and the temporary short-time ambient temperature of each temperature measuring point is a median value or an average value of each temperature value collected by the temperature measuring point within the short-time ambient temperature time without invalid temperature.

[0013] Further, when the short-time ambient temperature is updated, if there is an invalid temperature value in the real-time temperature value collected by the temperature measuring point within the short-time ambient temperature time in the current update period, the temporary short-time ambient temperature of the temperature measuring point is not updated, and the short-time ambient temperature of the current update period is calculated by using the temporary short-time ambient temperature of the temperature measuring point determined in the last update period. The initial values of the short-time ambient temperature and the long-time ambient temperature are both the average of the real-time temperature value collected by each temperature measuring point for the first time.

[0014] Further, the long-time ambient temperature time length is an integer multiple of the short-time ambient temperature time length, and the long-time ambient temperature is updated by using the updated short-time ambient temperature.

[0015] Further, the invalid temperature value refers to a temperature with a warning state, a fire state or an abnormal temperature state. When the real-time temperature value of a certain temperature measuring point is greater than a warning threshold value from the long-time ambient temperature or the short-time ambient temperature determined in the last update period, the real-time temperature value is marked as a warning state. When the real-time temperature value of a certain temperature measuring point is greater than a fire threshold value from the long-time ambient temperature or the short-time ambient temperature determined in the last update period, the real-time temperature value is marked as a fire state. When the real-time temperature value measured by the temperature measuring point within the short-time ambient temperature time is processed by the quartile method and there is a real-time temperature value exceeding the normal range, the real-time temperature value exceeding the normal range is marked as an abnormal temperature state.

[0016] The beneficial effects of the present application are: as an improved invention, the present application divides the ambient temperature into a long-time ambient temperature and a short-time ambient temperature, analyzes the ambient temperature collected by each temperature measuring point within a short time range to obtain the short-time ambient temperature, effectively reflects the change of the ambient temperature within a short time, analyzes the ambient temperature collected by each temperature measuring point within a long time range to obtain the long-time ambient temperature, reduces the influence of device short-time heating and other factors on the ambient temperature, effectively improves the accuracy of the calculated ambient temperature, improves the temperature monitoring precision, and widens the application scenarios. At the same time, the present application updates the short-time ambient temperature and the long-time ambient temperature according to the set update period, further improves the accuracy and reliability of the short-time ambient temperature and the long-time ambient temperature. DETAILED DESCRIPTION

[0017] The present application divides the ambient temperature into short-time ambient temperature and long-time ambient temperature, and can provide more accurate ambient temperature for different scenes.

[0018] The method for monitoring the ambient temperature in a long and narrow space The present application provides a method for monitoring the ambient temperature in a long and narrow space, which uses a temperature sensor to obtain the ambient temperature, and the temperature sensor is arranged at each temperature measuring point in the long and narrow space. 1) Real-time collection of the real-time temperature values of each temperature measuring point in the long and narrow space according to the set data collection period, and setting the long-time ambient temperature time and short-time ambient temperature time for the calculation of the short-time ambient temperature and long-time ambient temperature.

[0019] The present application takes the long and narrow space of an optical fiber as an example, and sets multiple temperature measuring points in the long and narrow space of the optical fiber, and arranges optical fiber temperature sensors at each temperature measuring point.

[0020] For different use scenarios, in order to improve the monitoring accuracy, the present application uses the short-time ambient temperature and long-time ambient temperature as the calculation values of the ambient temperature, wherein the short-time ambient temperature can reflect the temperature change of the environment in a short time, and is suitable for use scenarios with more variable ambient temperature, and the long-time ambient temperature can reduce the influence of the temperature in a short time caused by equipment heating and the like, and is suitable for use scenarios where the monitored device generates heat in a short time but does not cause great fluctuations in the ambient temperature.

[0021] According to the actual requirements, the long-time ambient temperature time and short-time ambient temperature time are set, and the long-time ambient temperature time can be an integer multiple of the short-time ambient temperature time. As an embodiment, the present application sets the collection period to be 3 seconds, the short-time ambient temperature time length to be 3 minutes, and the data quantity in one short-time ambient temperature time to be 60, and the long-time ambient temperature time length to be 30 minutes, and the data quantity in one long-time ambient temperature time to be 600.

[0022] After the setting is completed, the temperature of each temperature measuring point in the environment is monitored in real time by using the optical fiber temperature sensor.

[0023] 2) Update the long-time ambient temperature and short-time ambient temperature.

[0024] The real-time temperature values of each temperature measuring point are respectively counted according to the set short-time ambient temperature time to obtain temporary short-time ambient temperatures of each temperature measuring point, and the short-time ambient temperature is obtained by using the temporary short-time ambient temperatures of each temperature measuring point, and the short-time ambient temperature is updated according to the set update period; the real-time temperature values of each temperature measuring point are respectively counted according to the set long-time ambient temperature time to obtain temporary long-time ambient temperatures of each temperature measuring point, and the long-time ambient temperature is obtained by using the temporary long-time ambient temperatures of each temperature measuring point, and the long-time ambient temperature is updated according to the set update period.

[0025] Specifically, the initial values of the short-time ambient temperature and the long-time ambient temperature are the average values of the first collected real-time temperature values of each temperature measuring point, and are updated on the basis of the initial values according to the set update period.

[0026] In order to ensure the accuracy of the subsequently calculated short-time ambient temperature and long-time ambient temperature, it is first determined whether each real-time temperature value collected by the temperature measuring point within the short-time ambient temperature time is valid during updating, and if there is an invalid temperature value, the update is not performed in this update period, wherein the invalidity refers to a warning state, a fire state or an abnormal temperature state.

[0027] Specifically, the real-time temperature values collected by each temperature measuring point within the short-time ambient temperature time are respectively subtracted from the long-time ambient temperature and the short-time ambient temperature, and when the difference between the real-time temperature value of a certain temperature measuring point and the long-time ambient temperature or the short-time ambient temperature determined in the last update period is greater than a warning threshold, the real-time temperature value is marked as a warning state; when the difference between the real-time temperature value of a certain temperature measuring point and the long-time ambient temperature or the short-time ambient temperature is greater than a fire threshold, the real-time temperature value is marked as a fire state.

[0028] When the optical fiber arranged in the space is pulled or extruded, the real-time temperature values collected by the temperature measuring point may be abnormal, and the application detects whether the real-time temperature values exceed the normal range by using the quartile method to mark the abnormal temperature values. Specifically, all the real-time temperature values collected by a temperature measuring point within a short-time ambient temperature time are sorted by size and divided into four equal parts, the number less than or equal to the first 25% of the real-time temperature values is recorded as the first quartile Q1, the number less than or equal to the first 75% of the real-time temperature values is recorded as the third quartile Q3, and the difference between the third quartile Q3 and the first quartile Q1 is recorded as the interquartile range I QR The first quartile Q1, the third quartile Q3 and the interquartile range I QR The upper limit of the normal value range is Q3+1.5×I QR The lower limit of the normal value range is Q1-1.5×I QR The real-time temperature values exceeding the range will be marked as an abnormal temperature state.

[0029] During short-term ambient temperature updates, each temperature measurement point has a corresponding short-term ambient temperature historical data queue. Each measurement point stores the real-time ambient temperature collected within each short-term ambient temperature time period sequentially into its corresponding short-term ambient temperature historical data queue. After one short-term ambient temperature time period, each measurement point's short-term ambient temperature historical data queue should be exactly full. At this point, if an invalid temperature value exists in a measurement point's short-term ambient temperature historical data queue, the temporary short-term ambient temperature for that measurement point is not updated; instead, the temporary short-term ambient temperature determined in the previous update cycle for that measurement point is used to calculate the short-term ambient temperature for the current update cycle. For measurement points whose real-time temperature values ​​in their short-term ambient temperature historical data queues are all valid, the temporary short-term ambient temperature for that measurement point is calculated using the data in that queue. Subsequently, the short-term ambient temperature corresponding to the current short-term ambient temperature time period is calculated and updated using the temporary short-term ambient temperatures of measurement points where no invalid temperatures were collected within the current short-term ambient temperature time period and the temporary short-term ambient temperatures determined in the previous update cycle for the other measurement points. For example, suppose there are 20 temperature measurement points. Two of these points collect invalid temperatures within a short-term ambient temperature period. In this case, the temporary short-term ambient temperature corresponding to these two points will continue to use the temporary short-term ambient temperature determined in the previous update cycle. The remaining 18 temperature measurement points collect valid real-time temperature values. These 18 points then update the temporary short-term ambient temperature using their respective real-time temperature values ​​collected within the current short-term ambient temperature period. Subsequently, the ambient temperature for the current cycle is calculated using the temporary ambient temperature from the previous update cycle of the two temperature measurement points with invalid temperatures and the temporary ambient temperature of the remaining 18 temperature measurement points in the current update cycle.

[0030] Similar to the calculation method for short-term ambient temperature, long-term ambient temperature can also store data and form a historical data queue of long-term ambient temperatures for each temperature measurement point. Then, the temporary long-term ambient temperature value for each temperature measurement point is calculated using this historical data queue, thus obtaining the long-term ambient temperature value. However, if the long-term time range is long, the amount of data to be stored and processed is large. Therefore, to save storage space and reduce the computational workload, this invention uses the average of the temporary short-term ambient temperatures corresponding to the short-term time ranges included in the long-term time range of each temperature measurement point as the temporary long-term ambient temperature. Assuming the long-term time range A is 30 minutes and the short-term time range a is 10 minutes, then the long-term time range A includes short-term time ranges a1, a2, and a3. The temporary short-term ambient temperatures corresponding to these short-term time ranges are T1, T2, and T3, respectively. Therefore, the temporary long-term ambient temperature T corresponding to the long-term time range A is calculated as follows: A=(T1+T2+T3) / 3. The long-term ambient temperature is obtained by averaging the temporary long-term ambient temperatures at all temperature measurement points. This applies when the long-term ambient temperature duration is an integer multiple of the short-term ambient temperature duration. If it is not an integer multiple, the long-term ambient temperature needs to be calculated using the real-time temperature values ​​collected at each temperature measurement point within the long-term ambient temperature duration, following the calculation method for the short-term ambient temperature.

[0031] During storage, the number of data points stored in the long-term ambient temperature historical data queue is set to be equal to a multiple of the long-term time range and the short-term time range. For example, in the above example, the number of data points stored in the long-term ambient temperature historical data queue should be 3. When a temporary short-term ambient temperature is calculated at a certain temperature measurement point, the earliest temporary short-term ambient temperature at the front of the long-term ambient temperature historical data queue is deleted, all data are moved forward one position, and the temporary short-term ambient temperature is stored at the last position. Then, the temporary long-term ambient temperature is calculated, and then the long-term ambient temperature is calculated. That is, after acquiring the temperature values ​​of all measurement points in each data acquisition cycle, the short-term ambient temperature historical data queue of each temperature measurement point is updated, the temporary short-term ambient temperature is calculated, and the temporary short-term ambient temperature is added to the corresponding temperature measurement point's long-term ambient temperature historical data queue. The temporary long-term ambient temperature of that temperature measurement point is then calculated. After all temperature measurement points have completed the update of their temporary long-term ambient temperatures, the overall short-term ambient temperature is calculated based on the temporary short-term ambient temperatures of all temperature measurement points, and the overall long-term ambient temperature is calculated based on the temporary long-term ambient temperatures of all temperature measurement points.

[0032] The calculated long-term and short-term ambient temperatures are used for real-time temperature monitoring. As one implementation of temperature monitoring, the real-time temperature value at each measuring point is subtracted from both the long-term and short-term ambient temperatures. If the difference between the real-time temperature value at a measuring point and either the long-term or short-term ambient temperature exceeds a warning threshold, the temperature at that measuring point is determined to be too high, posing a malfunction risk, and a warning signal needs to be issued to staff. Similarly, if the difference between the real-time temperature value at a measuring point and either the long-term or short-term ambient temperature exceeds a fire threshold, the temperature at that measuring point is determined to be too high, posing a fire risk, and staff need to be alerted that a fire may occur. Alternatively, depending on the specific scenario, one of the long-term or short-term ambient temperatures can be selected for real-time temperature monitoring.

[0033] Implementation of a fiber optic ambient temperature monitoring system This invention proposes a temperature-sensing fiber optic ambient temperature monitoring system, comprising an analysis device and fiber optic temperature sensors installed at various temperature measurement points within the fiber optic cable. The fiber optic temperature sensors collect the real-time temperature of the corresponding monitoring point according to a set data acquisition cycle. The analysis device statistically analyzes the real-time temperature values ​​of each measurement point according to a set short-term ambient temperature time interval to obtain the temporary short-term ambient temperature of each measurement point. The system then uses these temporary short-term ambient temperatures to obtain the short-term ambient temperature and updates it according to a set update cycle. Furthermore, the analysis device statistically analyzes the real-time temperature values ​​of each measurement point according to a set long-term ambient temperature time interval to obtain the temporary long-term ambient temperature of each measurement point. The system then uses these temporary long-term ambient temperatures to obtain the long-term ambient temperature and updates it according to a set update cycle.

[0034] The specific implementation process has been described in detail in the implementation method of monitoring ambient temperature in narrow spaces, and will not be repeated here.

Claims

1. A method for monitoring ambient temperature in a narrow space, characterized by the following steps: include: 1) Collect the real-time temperature values ​​of each temperature measurement point in the narrow space according to the set data acquisition cycle; 2) Statistically analyze the real-time temperature values ​​of each temperature measuring point according to the set short-term ambient temperature time, obtain the temporary short-term ambient temperature of each temperature measuring point, use the temporary short-term ambient temperature of each temperature measuring point to obtain the short-term ambient temperature, and update the short-term ambient temperature according to the set update cycle. The real-time temperature values ​​of each temperature measuring point are statistically analyzed according to the set long-term ambient temperature time to obtain the temporary long-term ambient temperature of each temperature measuring point. The long-term ambient temperature is obtained by using the temporary long-term ambient temperature of each temperature measuring point and is updated according to the set update cycle.

2. The method for monitoring ambient temperature in a narrow space according to claim 1, characterized in that, The short-term ambient temperature is the average of the temporary short-term ambient temperatures at each temperature measuring point. The temporary short-term ambient temperature at each temperature measuring point is the median or average of the temperature values ​​collected at that temperature measuring point during the short-term ambient temperature period when there are no invalid temperatures. The long-term ambient temperature is the average of the temporary long-term ambient temperatures at each temperature measuring point. The temporary long-term ambient temperature at each temperature measuring point is the median or average of the temperature values ​​collected at that temperature measuring point during the long-term ambient temperature period when there are no invalid temperatures.

3. The method for monitoring ambient temperature in a narrow space according to claim 2, characterized in that, When the short-term ambient temperature is updated, if any temperature value collected by a temperature measuring point within the short-term ambient temperature period is invalid, the temporary short-term ambient temperature of that temperature measuring point will not be updated. Instead, the temporary short-term ambient temperature determined in the previous update period for that temperature measuring point will be used to calculate the short-term ambient temperature for the current update period. The initial values ​​of both the short-term and long-term ambient temperatures are the average of the first real-time temperature values ​​collected by each temperature measuring point.

4. The method for monitoring ambient temperature in a narrow space according to claim 3, characterized in that, The duration of long-term ambient temperature is an integer multiple of the duration of short-term ambient temperature, and the long-term ambient temperature is updated using the updated short-term ambient temperature.

5. The method for monitoring ambient temperature in a narrow space according to claim 3, characterized in that, The invalid temperature value refers to a temperature that is in a warning state, a fire state, or an abnormal temperature state; when the difference between the real-time temperature value of a certain temperature measurement point and the long-term or short-term ambient temperature determined in the previous update cycle is greater than the warning threshold, the real-time temperature value is marked as a warning state. When the difference between the real-time temperature value of a certain temperature measuring point and the long-term or short-term ambient temperature determined in the previous update cycle is greater than the fire threshold, the real-time temperature value is marked as a fire state; when the real-time temperature value measured by the temperature measuring point in the short-term ambient temperature time exceeds the normal range after processing by the quartile method, the real-time temperature value exceeding the normal range is marked as an abnormal temperature state.

6. A temperature-sensing fiber optic ambient temperature monitoring system, comprising an analysis device and fiber optic temperature sensors for setting up at various temperature measurement points in the fiber optic cable, characterized in that, The fiber optic temperature sensor is used to collect the real-time temperature of the corresponding monitoring point according to the set data acquisition cycle. The analysis device is used to statistically analyze the real-time temperature values ​​of each temperature measuring point according to the set short-term ambient temperature time, to obtain the temporary short-term ambient temperature of each temperature measuring point, and to obtain the short-term ambient temperature using the temporary short-term ambient temperature of each temperature measuring point, and to update the short-term ambient temperature according to the set update cycle. The analysis device is also used to statistically analyze the real-time temperature values ​​of each temperature measuring point according to the set long-term ambient temperature time, to obtain the temporary long-term ambient temperature of each temperature measuring point, and to obtain the long-term ambient temperature using the temporary long-term ambient temperature of each temperature measuring point, and to update the long-term ambient temperature according to the set update cycle.

7. The temperature-sensing fiber optic ambient temperature monitoring system according to claim 6, characterized in that, The short-term ambient temperature is the average of the temporary short-term ambient temperatures at each temperature measuring point. The temporary short-term ambient temperature at each temperature measuring point is the median or average of the temperature values ​​collected at that temperature measuring point during the short-term ambient temperature period when there are no invalid temperatures. The long-term ambient temperature is the average of the temporary long-term ambient temperatures at each temperature measuring point. The temporary long-term ambient temperature at each temperature measuring point is the median or average of the temperature values ​​collected at that temperature measuring point during the long-term ambient temperature period when there are no invalid temperatures.

8. The temperature-sensing fiber optic ambient temperature monitoring system according to claim 6, characterized in that, When the short-term ambient temperature is updated, if any temperature value collected by a temperature measuring point within the short-term ambient temperature period is invalid, the temporary short-term ambient temperature of that temperature measuring point will not be updated. Instead, the temporary short-term ambient temperature determined in the previous update period for that temperature measuring point will be used to calculate the short-term ambient temperature for the current update period. The initial values ​​of both the short-term and long-term ambient temperatures are the average of the first real-time temperature values ​​collected by each temperature measuring point.

9. The temperature-sensing fiber optic ambient temperature monitoring system according to claim 8, characterized in that, The duration of long-term ambient temperature is an integer multiple of the duration of short-term ambient temperature, and the long-term ambient temperature is updated using the updated short-term ambient temperature.

10. The temperature-sensing fiber optic ambient temperature monitoring system according to claim 8, characterized in that, The invalid temperature value refers to a temperature that is in a warning state, a fire state, or an abnormal temperature state; when the difference between the real-time temperature value of a certain temperature measurement point and the long-term or short-term ambient temperature determined in the previous update cycle is greater than the warning threshold, the real-time temperature value is marked as a warning state. When the difference between the real-time temperature value of a certain temperature measuring point and the long-term or short-term ambient temperature determined in the previous update cycle is greater than the fire threshold, the real-time temperature value is marked as a fire state; when the real-time temperature value measured by the temperature measuring point in the short-term ambient temperature time exceeds the normal range after processing by the quartile method, the real-time temperature value exceeding the normal range is marked as an abnormal temperature state.

Citation Information

Patent Citations

  • Environmental temperature self-adaptive distributed optical fiber fire monitoring method and system

    CN116046206A