Distributed optical fiber temperature measurement method, temperature measurement system, medium and program product

Abstract

The invention relates to the technical field of optical fiber temperature measurement, in particular to a distributed optical fiber temperature measurement method and system, a medium and a program product, and the method comprises the steps: obtaining laser pulse scattering data which is generated when distributed optical fibers along a to-be-monitored belt conveyor propagate received laser pulse signals; identifying scattering characteristics contained in the laser pulse scattering data, and obtaining temperature distribution data corresponding to the to-be-monitored belt conveyor based on the scattering characteristics; environment parameters, belt function parameters and material transportation parameters are obtained, and the temperature anomaly judgment standard of each belt transportation area is determined based on the environment parameters, the belt function parameters and the material transportation parameters; based on the temperature distribution data and the temperature abnormity judgment standard of each belt conveying area, whether an abnormal temperature area exists in the to-be-monitored belt conveyor or not is judged; and if yes, generating an abnormal early warning based on the abnormal temperature region. According to the invention, the timeliness and accuracy of temperature monitoring of the belt conveyor are improved.

Description

Technical Field

[0001] This application relates to the technical field of optical fiber temperature measurement, and particularly to a distributed optical fiber temperature measurement method, a temperature measurement system, a medium, and a program product. Background Art

[0002] There are various types of commonly used transportation equipment in coal mines, and each type of transportation equipment has its specific application scenarios and advantages. Among them, the most common transportation equipment is the belt conveyor, which uses mature drive and support technologies to ensure that the equipment can operate smoothly under complex working conditions and reduce the fault shutdown time. In addition, by optimizing the drive system and the conveyor belt material, it is convenient to reduce the unit transportation energy consumption, meeting the coal mine energy conservation and emission reduction requirements. However, abnormal friction between the conveyor belt and the idlers, drive rollers, local overheating caused by material jamming, as well as equipment aging and improper maintenance may all cause the temperature of the belt to rise abnormally.

[0003] If the problem of abnormal temperature rise of the conveyor belt is not dealt with in time, the conveyor belt may be deformed or damaged, and in extreme cases, it may even cause a fire. Given the flammable and explosive nature of the coal mine environment itself, once a fire occurs, the consequences will be unimaginable, not only seriously threatening the lives of personnel, but also posing a huge threat to the safety of the entire mine. Therefore, there is an urgent need for a method that can monitor the temperature of the belt conveyor in real time and accurately, so as to timely detect and handle any abnormal temperature rise during the process of the belt conveyor transporting materials, thereby ensuring the safety and stability of coal mine operations. Summary of the Invention

[0004] In order to improve the timeliness and accuracy of temperature monitoring of the belt conveyor, this application provides a distributed optical fiber temperature measurement method, a temperature measurement system, a medium, and a program product.

[0005] In a first aspect, this application provides a distributed optical fiber temperature measurement method, adopting the following technical solution: A distributed optical fiber temperature measurement method includes: Obtain laser pulse scattering data, which is generated when the laser pulse signal received by the optical fiber along the line of the belt conveyor to be monitored propagates; Identify the scattering characteristics included in the laser pulse scattering data, and obtain the temperature distribution data corresponding to the belt conveyor to be monitored based on the scattering characteristics; Obtain environmental parameters, belt function parameters, and transported material parameters, and determine the temperature anomaly judgment criteria corresponding to each belt transportation area based on the environmental parameters, belt function parameters, and transported material parameters; Based on the temperature distribution data and the temperature anomaly judgment criteria corresponding to each belt transportation area, determine whether there is an abnormal temperature area in the belt conveyor to be monitored; If so, generate an anomaly warning based on the abnormal temperature area.

[0006] By adopting the above technical solution, using an optical fiber as a distributed sensor to achieve continuous and distributed measurement of the temperature along the belt conveyor to be monitored. Compared with the traditional point-type temperature measurement method, it is easier to obtain more comprehensive temperature distribution information. Since the working environments, belt characteristics, and transported materials in different belt transportation areas of the belt conveyor to be monitored may be different, therefore, the temperature anomaly judgment criteria corresponding to each belt transportation area determined according to these parameters such as environmental parameters, belt function parameters, and transported material parameters are convenient for more accurately adapting to the actual situations of different areas, thereby improving the accuracy and timeliness of temperature anomaly judgment. By timely and accurately detecting the temperature anomalies existing in the belt conveyor to be monitored during the transportation process, it is convenient to take measures in advance to avoid potential safety accidents and equipment damage, thereby ensuring the safe and stable operation of the belt conveyor to be monitored.

[0007] In a possible implementation manner, the method further includes: Obtain the temperature hazard judgment criteria corresponding to each belt transportation area, and based on the temperature hazard judgment criteria corresponding to each belt transportation area, judge whether there is a hazard temperature area in the belt conveyor to be monitored; If so, obtain a real-time on-site environment image, and based on the real-time on-site environment image, judge whether there is a first concerned hazard area in all the hazard temperature areas, where the first concerned hazard area is a hazard temperature area in the real-time on-site environment image that contains preset features; If there is a first concerned hazard area, determine the concerned feature parameters corresponding to the first concerned hazard area based on the real-time on-site environment image; Generate a fire extinguishing instruction based on the concerned feature parameters, identify similar hazard areas from other hazard temperature areas, and feedback the first concerned hazard area, the fire extinguishing instruction, and the similar hazard areas together.

[0008] By adopting the above technical solution, hazard judgment helps to detect potential hazards of the belt conveyor to be monitored in advance before the temperature anomaly causes serious problems, thereby facilitating the guidance for subsequent maintenance and repair work. After identifying the hazard temperature area, identify and analyze the first concerned hazard area included in the real-time on-site environment image, and generate a fire extinguishing instruction in a timely manner to facilitate timely response to or prevention of fire risks. At the same time, identify similar hazard areas of the first concerned hazard area from other hazard temperature areas, and feedback the first concerned hazard area, the fire extinguishing instruction, and the similar hazard areas together, which is convenient for reminding relevant staff to take measures in a timely manner to deal with potential fire risks, and also convenient for reminding relevant staff to pay attention to other possible similar hazards, thereby facilitating the improvement of the overall safety prevention ability of the belt conveyor to be monitored.

[0009] In a possible implementation manner, the method further includes: Determine a temperature distribution display diagram according to the on-site environment image and the temperature distribution data; Obtain the corresponding similarity feature parameters for each similar hidden danger area, and determine the simulated transportation result corresponding to each similar hidden danger area in a first preset time period according to each similarity feature parameter; Mark the simulated transportation result corresponding to each similarity feature parameter in the corresponding area of the temperature distribution display diagram to obtain an AR temperature distribution diagram.

[0010] By adopting the above technical solution, determining a temperature distribution display diagram according to the on-site environment image and the temperature distribution data facilitates the intuitive display of the temperature distribution data in a graphical manner, so that relevant staff can clearly understand the temperature distribution along the belt conveyor to be monitored. In addition, by marking the simulated transportation results corresponding to each similarity feature parameter in the corresponding area of the temperature distribution display diagram, it is convenient for relevant staff to directly understand the simulated transportation conditions of each similar hidden danger area while viewing the temperature distribution, so as to discover abnormal transportation conditions in similar hidden danger areas in advance, and thus facilitate arranging the required maintenance work for similar hidden danger areas in advance.

[0011] In a possible implementation manner, the method further includes: Obtain the adjustment record and shutdown record corresponding to a second preset time period, and determine the delayed transportation data according to the adjustment record and the shutdown record; Determine alternative conveyor belts based on the delayed transportation data, obtain the alternative temperature distribution data corresponding to each alternative conveyor belt in a third preset time period, and determine the alternative health values of each alternative conveyor belt based on each alternative temperature distribution data; Allocate new transportation tasks to each alternative conveyor belt according to each alternative health value and the delayed transportation data, and adjust the transportation parameters of each alternative conveyor belt based on each new transportation task.

[0012] By adopting the above technical solution, analyze the adjustment records and shutdown records generated within a period of time, and determine the material transportation delay situation existing in the adjustment maintenance or shutdown maintenance stage. Select alternative conveyor belts for material transportation according to the material transportation delay situation, which is convenient for reducing the impact of maintenance or shutdown on material transportation. At the same time, when selecting alternative conveyor belts, it is not randomly selected, but after evaluating the alternative health values of each alternative conveyor belt, allocate tasks to each alternative conveyor belt according to the alternative health values, which is convenient for ensuring that the new transportation tasks can be reasonably and effectively allocated to the alternative conveyor belts in good condition, so as to facilitate ensuring the continuity and stability of the transportation process.

[0013] In a possible implementation, after each alternative conveyor belt transports materials based on the adjusted transportation parameters, the method further includes: Obtain the real-time health value corresponding to each alternative conveyor belt when undertaking new transportation tasks during the allocated observation time period, and generate a corresponding health line chart, where the health line chart includes the real-time health line corresponding to each alternative conveyor belt when undertaking new tasks; Determine the observation duration according to the alternative health value of each alternative conveyor belt; Determine a random observation moment according to a preset random number algorithm, and based on each random observation moment and the observation duration, determine the observation period corresponding to each random observation moment; Obtain the health value change rate and health mean value of each real-time health line within each observation period, and determine whether the health value change rate and health mean value of each real-time health line within each observation period meet the preset conditions. If so, reselect the alternative conveyor belt based on the delayed transportation data; Among them, the preset conditions are: Within any observation period, the health value change rate of each real-time health line is lower than the preset change rate; Or, the health difference between the health means corresponding to any two adjacent observation periods is greater than the preset threshold.

[0014] By adopting the above technical solution, by generating a health line chart of the real-time health value corresponding to each alternative conveyor belt when undertaking new transportation tasks during the bearing time period, it is convenient to monitor the operating state and health condition of the alternative conveyor belt in real time and intuitively. In addition, by analyzing the health value change rate and health mean value of each real-time health line within the observation period and judging whether these indicators meet the preset conditions, it helps to timely discover possible health problems or performance degradation of the alternative conveyor belt, so as to be able to adjust and replace the alternative conveyor belt in time when problems occur, ensuring the smooth completion of the transportation task.

[0015] In a possible implementation, the method further includes: Obtain the abnormal belt surface image corresponding to the abnormal temperature area. When the abnormal belt surface image contains a preset abnormal feature, determine the upstream abnormal source point according to the current transportation position and belt movement speed of the abnormal temperature area; According to the hidden danger positions of each hidden danger temperature area, judge whether there is a second concerned hidden danger area located between the upstream abnormal source point and the abnormal temperature area; If it exists, feedback the upstream abnormal source point and the second concerned hidden danger area together.

[0016] By adopting the above technical solution, after determining the abnormal temperature area, tracing the cause of the abnormal temperature rise situation is convenient for providing accurate troubleshooting and repair directions for relevant staff, thereby facilitating the reduction of the probability of subsequent abnormal temperature rise situations. At the same time, by identifying potential hazard areas that may be affected by upstream abnormal source points and taking preventive measures in advance, potential safety accidents and equipment damage can be avoided.

[0017] In a second aspect, the present application provides a temperature measurement system, adopting the following technical solution: A temperature measurement system, which includes: At least one processor; A memory; At least one application program, wherein the at least one application program is stored in the memory and is configured to be executed by at least one processor, and the at least one application program is configured to: execute the above-mentioned distributed optical fiber temperature measurement method.

[0018] In a third aspect, the present application provides a computer-readable storage medium, adopting the following technical solution: A computer-readable storage medium includes: a computer program stored therein that can be loaded and executed by a processor to execute the above-mentioned distributed optical fiber temperature measurement method.

[0019] In a fourth aspect, the present application provides a computer program product, adopting the following technical solution: A computer program product includes a computer program, and when the computer program is executed by a processor, it implements the above-mentioned distributed optical fiber temperature measurement method.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By using an optical fiber as a distributed sensor, continuous and distributed measurement of the temperature along the monitored belt conveyor is realized. Compared with the traditional point-type temperature measurement method, it is convenient to obtain more comprehensive temperature distribution information. Since the working environments, belt characteristics, and transported materials in different belt transportation areas of the monitored belt conveyor may be different, therefore, the temperature anomaly judgment criteria corresponding to each belt transportation area determined according to these parameters such as environmental parameters, belt function parameters, and transported material parameters are convenient for more accurately adapting to the actual situations of different areas, thereby improving the accuracy and timeliness of temperature anomaly judgment. By promptly and accurately discovering the temperature anomaly situations existing during the transportation of the monitored belt conveyor, it is convenient to take measures in advance to avoid potential safety accidents and equipment damage, thereby ensuring the safe and stable operation of the monitored belt conveyor.

[0021] By generating a health line graph based on the real-time health values corresponding to each alternative conveyor belt when undertaking the new transportation task during the committed time period, it is convenient to monitor the operating status and health of the alternative conveyor belts in real time and intuitively. In addition, by analyzing the health value change rate and health average value of each real-time health line graph during the observation period and judging whether these indicators meet the preset conditions, it helps to timely detect possible health problems or performance degradation of the alternative conveyor belts, so that adjustments and replacements can be made in a timely manner when problems occur with the alternative conveyor belts, ensuring the smooth completion of the transportation task. Brief Description of the Drawings

[0022] Figure 1 is a schematic flowchart of a distributed optical fiber temperature measurement method in an embodiment of the present application; Figure 2 is a health line graph in an embodiment of the present application; Figure 3 is a schematic structural diagram of a temperature measurement system in an embodiment of the present application. Detailed Description of the Embodiment

[0023] The following will further describe the present application in detail Figures 1 to 3 in conjunction with the accompanying drawings.

[0024] Those skilled in the art can make modifications to this embodiment without creative contributions according to their needs after reading this specification, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application.

[0026] It should be noted that in the alternative embodiments of the present application, for relevant data such as object information, when the embodiments in the present application are applied to specific products or technologies, object permission or consent needs to be obtained, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards in relevant countries and regions. That is to say, if the embodiments in the present application involve data related to objects, they need to be obtained under the authorization and consent of the objects, the authorization and consent of relevant departments, and compliance with relevant laws, regulations, and standards in relevant countries and regions. If personal information is involved in the embodiments, the acquisition of all personal information requires the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiments also need to be implemented under the authorization and consent of the objects.

[0027] Specifically, the embodiment of the present application provides a distributed optical fiber temperature measurement method, which is executed by a temperature measurement system. The temperature measurement system can be a server or a terminal device. Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication methods, and the embodiment of the present application does not limit this.

[0028] Reference Figure 1 , Figure 1 is a schematic flowchart of a distributed optical fiber temperature measurement method in the embodiment of the present application. The method includes steps S110 - S150, where: Step S110: Obtain laser pulse scattering data, which is generated when the distributed optical fiber along the belt conveyor to be monitored propagates and receives the laser pulse signal.

[0029] Specifically, the belt conveyor to be monitored is a belt conveyor that needs to perform distributed optical fiber temperature measurement. Distributed optical fibers are arranged along the belt conveyor to be monitored. Each path of distributed optical fiber along the line can achieve temperature measurement of 10 kilometers. Generally, 8 paths of distributed optical fibers along the line can be controlled by the same optical fiber temperature measurement host together, and one optical fiber temperature measurement host can realize temperature monitoring of multiple belts. The temperature measurement system can send laser pulse signals to the distributed optical fibers along the belt conveyor to be monitored. These laser pulse signals have specific frequencies, powers, and durations. When the laser pulse signals propagate in the distributed optical fibers along the line, they will interact with molecules, atoms, or impurities in the optical fibers, resulting in the scattering of the laser pulse signals. This scattering phenomenon is closely related to the temperature of the distributed optical fibers along the line. Therefore, by analyzing the generated laser pulse scattering data, it is convenient to monitor the temperature of the belt conveyor to be monitored.

[0030] A plurality of receivers are arranged around the distributed optical fiber along the line for receiving the laser pulse scattering data. The receivers can be arranged at the end or the starting end of the distributed optical fiber along the line. The specific setting position is not specifically limited in the embodiment of the present application. The receivers can upload the received laser pulse scattering data to the temperature measurement system. The specific setting position and the specific number of receivers are not specifically limited in the embodiment of the present application, as long as the received laser pulse scattering data can cover the entire belt conveyor to be monitored.

[0031] Step S120: Identify the scattering characteristics included in the laser pulse scattering data, and obtain the temperature distribution data corresponding to the belt conveyor to be monitored based on the scattering characteristics.

[0032] Specifically, during the operation of the belt conveyor to be monitored, the temperature of the belt conveyor to be monitored may change due to belt wear, breakage, slipping, etc. The temperature change can be reflected by the laser pulse scattering data. Therefore, by identifying and analyzing the laser pulse scattering data, the temperature measurement of the belt conveyor to be monitored can be realized. To improve the accuracy of determining the temperature distribution data, the laser pulse scattering data can be first subjected to signal preprocessing such as filtering, amplification, and digitization, and then according to the preset feature recognition algorithm, the time-domain features, frequency-domain features, and intensity features in the laser pulse scattering data are recognized. The intensity feature is the intensity ratio of anti-Stokes light and Stokes light. Among them, the time-domain feature is used to determine the position of the laser pulse scattering data to achieve spatial resolution; the frequency-domain feature is used to identify the frequency components of Raman scattering to ensure that the correct signal is measured; the intensity ratio of anti-Stokes light and Stokes light has an exponential relationship with temperature. According to the time-domain feature, frequency-domain feature, intensity ratio, and the preset temperature inversion formula, the temperature value at each position can be obtained. The specific preset temperature inversion formula can be determined by relevant staff based on historical experimental data and then uploaded to the temperature measurement system. In addition, the specific method of determining the temperature distribution data of the belt conveyor to be monitored according to the time-domain feature, frequency-domain feature, and intensity ratio is not limited in the embodiments of the present application, as long as the temperature distribution of the belt conveyor to be monitored during material transportation can be obtained according to the laser pulse scattering data.

[0033] Step S130: Obtain environmental parameters, belt function parameters, and transported material parameters, and determine the temperature anomaly judgment standard corresponding to each belt transportation area based on the environmental parameters, belt function parameters, and transported material parameters.

[0034] Specifically, the environmental parameters can be environmental temperature, environmental humidity, wind speed, and wind direction, etc. Among them, for example, in a high-temperature environment, the belt and materials of the belt conveyor to be monitored may be more likely to reach a higher temperature. The environmental humidity may affect the friction coefficient of the belt and the adhesion of the materials, thereby affecting the operating efficiency and temperature distribution of the belt. And the wind speed and wind direction may affect the heat dissipation conditions of the belt and materials. For example, in a strong wind environment, the temperature of the belt and materials may drop faster. Therefore, when determining the temperature anomaly judgment standard, it is necessary to analyze the environmental parameters of the belt conveyor to be monitored. The environmental parameters can be measured by temperature sensors, humidity sensors, and wind sensors set in the environment and then uploaded to the temperature measurement system.

[0035] The belt function parameters can be loading function, transportation function, unloading function, return function, driving function, etc. Different function parameters cause different pressures on the belt during the working stage. These pressure differences will directly affect the temperature distribution and change of the belt. When determining the temperature anomaly judgment standard, it is necessary to analyze the belt function parameters of the belt conveyor to be monitored. The belt function parameters can be uploaded to the temperature measurement system by relevant staff according to the actual parameter situation of the belt conveyor to be monitored. The specific content is not specifically limited in the embodiments of this application.

[0036] When the transported material parameters are different, the heat conduction performance, heat absorption performance, heat release performance, and friction coefficient generated during the material transportation process are all different. For example, materials with good heat conduction are more likely to transfer heat to the belt during transportation, resulting in an increase in the belt temperature. Materials with a large specific heat capacity absorb or release more heat when the temperature changes. Materials with a large friction coefficient generate more heat during transportation. Therefore, when determining the temperature anomaly judgment standard, it is necessary to analyze the transported material parameters corresponding to the belt conveyor to be monitored. The transported material parameters can be uploaded by relevant staff according to the actual material transportation requirements.

[0037] The belt of the belt conveyor to be monitored can be divided into regions according to the belt function parameters first, and then the temperature anomaly judgment standard corresponding to each belt transportation region can be determined according to the preset standard mapping relationship and the environmental parameters, belt function parameters, and transported material parameters corresponding to each belt transportation region. Among them, the preset standard mapping relationship is the corresponding relationship between the parameter combination of environmental parameters, belt function parameters, and transported material parameters and the temperature anomaly judgment standard. The specific content of the preset standard mapping relationship is not specifically limited in the embodiments of this application and can be determined by relevant staff according to historical experimental data and then uploaded to the temperature measurement system.

[0038] Step S140: Based on the temperature distribution data and the temperature anomaly judgment standard corresponding to each belt transportation region, determine whether there is an abnormal temperature region in the belt conveyor to be monitored.

[0039] Step S150: If so, generate an abnormal warning based on the abnormal temperature region.

[0040] Specifically, for any belt transportation area, identify the standard temperature value included in the corresponding temperature anomaly judgment criterion, and identify the temperature value corresponding to the belt transportation area from the temperature distribution data. If the temperature value of the belt transportation area is not higher than the standard temperature value, it indicates that there is no abnormal temperature rise in this belt transportation area. On the contrary, if the temperature value of the belt transportation area is higher than the standard temperature value, it indicates that there is an abnormal temperature rise in this belt transportation area. According to the above method, it can be judged whether there are abnormal temperature areas in all belt transportation areas. The generated abnormal warning can be directly fed back to the terminal devices of relevant staff, and can also be fed back to the monitors at the material transportation site. The specific feedback object is not limited in the embodiments of the present application.

[0041] In the embodiments of the present application, an optical fiber is used as a distributed sensor to realize continuous and distributed measurement of the temperature along the monitored belt conveyor. Compared with the traditional point-type temperature measurement method, it is convenient to obtain more comprehensive temperature distribution information. Since the working environments, belt characteristics, and transported materials of different belt transportation areas in the monitored belt conveyor may be different, therefore, the temperature anomaly judgment criterion corresponding to each belt transportation area determined according to these parameters such as environmental parameters, belt function parameters, and transported material parameters is convenient to more accurately adapt to the actual situations of different areas, thereby improving the accuracy and timeliness of temperature anomaly judgment. By timely and accurately discovering the temperature anomalies existing in the monitored belt conveyor during the transportation process, it is convenient to take measures in advance to avoid potential safety accidents and equipment damage, thereby ensuring the safe and stable operation of the monitored belt conveyor.

[0042] Furthermore, to facilitate reminding relevant staff to pay attention to other possible similar hidden dangers, the method provided in the embodiments of the present application further includes: Obtain the temperature hidden danger judgment criterion corresponding to each belt transportation area, and based on the temperature hidden danger judgment criterion corresponding to each belt transportation area, judge whether there are hidden danger temperature areas in the monitored belt conveyor; if so, obtain the real-time on-site environmental image, and judge whether there is a first attention hidden danger area in all the hidden danger temperature areas according to the real-time on-site environmental image, where the first attention hidden danger area is a hidden danger temperature area in the real-time on-site environmental image that contains preset features; if there is a first attention hidden danger area, determine the attention feature parameters corresponding to the first attention hidden danger area based on the real-time on-site environmental image; generate a fire extinguishing instruction based on the attention feature parameters, and identify similar hidden danger areas from other hidden danger temperature areas, and feedback the first attention hidden danger area, the fire extinguishing instruction, and the similar hidden danger areas together.

[0043] Specifically, the temperature hazard judgment standard is different from the temperature anomaly judgment standard. If the temperature value in the belt conveyor area is higher than the standard temperature value in the temperature anomaly judgment standard, it indicates that there is an abnormal temperature rise in the belt conveyor area, and an abnormal warning needs to be generated. However, if the temperature value in the belt conveyor area is higher than the hazard temperature value in the temperature hazard judgment standard, it only indicates that there is a hazard of abnormal temperature rise in the belt conveyor area, that is, at this time, there is no abnormal temperature rise in the belt conveyor area, and no abnormal warning is required. The hazard temperature value corresponding to the temperature hazard judgment standard is lower than the standard temperature value corresponding to the temperature anomaly judgment standard. The specific value is not specifically limited in the embodiments of the present application and can be determined by relevant staff according to historical experimental data and then uploaded to the temperature measurement system. The belt conveyor area with a temperature value higher than the hazard temperature value is determined as the hazard temperature area, and the number of hazards in the hazard temperature area is not specifically limited in the embodiments of the present application.

[0044] The real-time on-site environmental image can be collected by the image acquisition device set on-site and then uploaded to the temperature measurement system. Since there is a hazard of abnormal temperature rise in the hazard temperature area, it is necessary to pay attention to the real-time transportation situation in the hazard temperature area to facilitate timely discovery and solution of the abnormal situation included in the hazard temperature area. The preset feature recognition algorithm can be used to identify and judge whether the preset feature is included in the hazard temperature area from the real-time on-site environmental image. Among them, the preset feature can be smoke, fire, etc. The specific preset feature and the preset feature recognition algorithm are not specifically limited in the embodiments of the present application.

[0045] The hazard temperature area containing the preset feature can be determined as the first attention hazard area, and the preset feature recognition algorithm is continued to be used to identify the attention feature parameters corresponding to the first attention hazard area from the real-time on-site environmental image. The attention feature parameters include but are not limited to the material form, functional position, etc. The specific attention feature parameters are not specifically limited in the embodiments of the present application. After determining the attention feature parameters of the first attention hazard area, similar hazard areas can be traversed from other hazard temperature areas based on the attention feature parameters. The parameter matching value between the similar feature parameters included in the similar hazard area and the attention feature parameters is not lower than the preset matching value. Although the similar hazard area does not include the attention feature parameters, the similar feature parameters included are relatively similar to the attention feature parameters. Therefore, once an abnormal application situation occurs in the attention hazard area below, the similar hazard area is likely to have an abnormal situation. By generating the first attention hazard area in a timely manner and feeding back the similar hazard areas together, it is convenient to remind relevant staff to take measures in a timely manner to deal with potential fire risks, and it is also convenient to remind relevant staff to pay attention to other possible similar hazards, thereby facilitating the improvement of the overall safety prevention ability of the belt conveyor to be monitored.

[0046] Smoke sensors, fire sensors, and sprinkler fire extinguishing electric ball valves are also installed along the belt conveyor to be monitored. It can identify and determine whether the first area of concern for potential hazards is included based on sensor data and real-time on-site environmental images. After generating a fire extinguishing command according to the characteristic parameters of concern for the first area of concern for potential hazards, it can control the opening of the sprinkler fire extinguishing electric ball valve corresponding to the first area of concern for potential hazards to perform fire extinguishing operations. Among them, the smoke sensor and the fire sensor can be directly connected to the 4DI4DO module and communicate with the temperature measurement system through the armored pluggable cable along the belt conveyor to be monitored. The 4DI4DO module also controls the non-safety relay to control the sprinkler fire extinguishing electric ball valve used along the line. After generating a fire extinguishing command, the fault situation can also be broadcast through the voice alarm function set on-site to facilitate reminding relevant staff to respond in a timely manner and take corresponding measures.

[0047] Furthermore, to facilitate relevant staff to visually view the temperature distribution, the method provided in the embodiment of the present application further includes: Determine a temperature distribution display map based on the on-site environmental image and temperature distribution data; obtain the corresponding similarity characteristic parameters for each similar potential hazard area, and determine the simulated conveying result corresponding to each similar potential hazard area in the first preset time period according to each similarity characteristic parameter; mark the simulated conveying result corresponding to each similarity characteristic parameter in the corresponding area of the temperature distribution display map to obtain an AR temperature distribution map.

[0048] Specifically, since the temperature distribution data contains the temperature values of each position in the belt conveyor to be monitored, by registering the temperature distribution data with the on-site environmental image, for example, through image feature point matching or coordinate mapping, the temperature values of each position can be mapped to the corresponding pixel positions of the on-site environmental image. Heat map or pseudo-color rendering technology can also be used to map different temperature values to different rendering colors. For example, red represents high temperature and blue represents low temperature, and the rendering result is superimposed on the on-site environmental image to generate a temperature distribution display map.

[0049] The first preset time period is a period of time after the current moment. The duration corresponding to the first preset time can be 20 minutes or 25 minutes. The specific duration is not specifically limited in the embodiments of the present application. According to the similar characteristic parameters, the simulated transportation result of the similar hidden danger area within the first preset time period is determined, that is, according to the similar characteristic parameters, the transportation situation that the similar hidden danger area may face within a period of time in the future is simulated, so as to predict and understand whether abnormal temperature rise will occur in the similar hidden danger area within a period of time in the future. The simulated transportation model can be trained according to the sample data. The specific training process is not specifically limited in the embodiments of the present application, as long as it can simulate the material transportation situation of the similar hidden danger area within a period of time in the future after inputting the similar characteristic parameters. Among them, the sample data can be sample characteristic parameters and sample transportation results, and the simulated transportation model to be trained can be a preset regression model.

[0050] The simulated transportation result can be a simulated transportation image corresponding to the first preset time period, or can also be the probability of abnormal temperature rise occurring at each moment within the first preset time period. The specific form is not specifically limited in the embodiments of the present application and can be set by relevant staff according to actual needs. When annotating the simulation results of each hidden danger area, forms such as text, icons, or color coding can be used for annotation. For example: different colors are used in each hidden danger area to represent the probability of abnormal temperature rise, red represents high risk, green represents low risk, etc. The generated AR temperature distribution map is convenient for intuitively viewing the temperature distribution while understanding the simulated transportation situation of each similar hidden danger area, so as to facilitate the early discovery of abnormal transportation situations in similar hidden danger areas, and thus facilitate the early arrangement of maintenance work required for similar hidden danger areas.

[0051] Furthermore, in order to facilitate ensuring the continuity and stability of the transportation process, the method provided in the embodiments of the present application further includes: Obtain the adjustment record and shutdown record corresponding to the second preset time period, and determine the delayed transportation data according to the adjustment record and shutdown record; determine the alternative conveyor belt machines based on the delayed transportation data, obtain the alternative temperature distribution data corresponding to each alternative conveyor belt machine within the third preset time period, and determine the alternative health values of each alternative conveyor belt machine based on each alternative temperature distribution data; according to each alternative health value and the delayed transportation data, allocate new transportation tasks to each alternative conveyor belt machine, and adjust the transportation parameters of each alternative conveyor belt machine based on each new transportation task.

[0052] Specifically, the second preset time period is a period of time before the current moment. The duration corresponding to the second preset time period can be 24 hours or 48 hours. The specific duration is not specifically limited in the embodiments of the present application and can be limited by relevant staff according to actual needs. All adjustment records and shutdown records generated within the second preset time period can be obtained from the log database. Among them, the adjustment records include the adjusted belt conveyor, the adjusted area, the adjustment parameters, and the transported materials corresponding to the adjusted belt conveyor. The shutdown records include the shutdown belt conveyor, the shutdown duration, and the transported materials corresponding to the shutdown belt conveyor. The delayed transportation data is the summary of the impacts on material transportation caused by operations such as adjustments or shutdowns. First, the transportation efficiency loss can be determined according to the adjustment parameters, and then the adjusted delayed transportation data can be determined based on the adjustment duration, the transportation efficiency loss, and the transported materials. In addition, the shutdown delayed transportation data can be determined according to the shutdown duration and the transported materials. Finally, the adjusted delayed transportation data and the shutdown delayed transportation data are summarized to obtain the delayed transportation data, which at least includes the delayed transportation volume of each delayed transported material. The method for calculating the delayed transportation data is not specifically limited in the embodiments of the present application. In addition to calculating according to the adjustment records and shutdown records, it can also be actually recorded and uploaded by relevant staff.

[0053] After analyzing the adjustment records and shutdown records generated within a period of time and determining the material transportation delay situation existing in the adjustment maintenance or shutdown maintenance stage, alternative conveyor belts can be selected according to the material transportation delay situation to transport the delayed transported materials, so as to reduce the impact on material transportation caused by maintenance or shutdown. When determining the alternative conveyor belts, in addition to considering the material correspondence, the health status of the alternative conveyor belts also needs to be considered. The alternative conveyor belts are the conveyor belts that are in the process of transportation work. Therefore, the material correspondence situation needs to be considered, that is, if the currently delayed transported material is material a, the prerequisite for selecting the alternative conveyor belt is that material a is being transported at the current moment. The alternative health values can be obtained by quantifying the health of each alternative conveyor belt through the alternative temperature distribution data corresponding to the third preset time period. The third preset time period is a period of time before the current moment. The duration corresponding to the third preset time period can be 4 hours or 5 hours. The specific duration is not specifically limited in the embodiments of the present application. The temperature statistical indicators of each alternative conveyor belt can be identified from the alternative temperature distribution data corresponding to the third preset time period, including but not limited to the average temperature, the highest temperature, the lowest temperature, and the temperature standard deviation. According to the preset health value mapping relationship and each temperature statistical indicator, the alternative health value of each alternative conveyor belt is determined. Among them, the preset health value mapping relationship is the alternative health value corresponding to different temperature statistical indicators. The specific content is not specifically limited in the embodiments of the present application and can be determined by relevant staff according to historical experimental data and then uploaded to the temperature measurement system.

[0054] After determining each alternative health value, corresponding new task weights are assigned to different alternative conveyor belts based on the alternative health values. Then, new transportation tasks are accurately assigned to each alternative conveyor belt according to the delayed transportation data and the new task weights. The higher the alternative health value, the higher the corresponding new task weight. The specific allocation and assumption method are not specifically limited in the embodiments of the present application. After determining the new transportation tasks of each alternative conveyor belt, the new transportation tasks assigned to each alternative conveyor belt can be completed within the allocated assumption period by adjusting the transportation rate. Among them, the allocated assumption period can be determined from the delayed transportation data. The larger the delayed transportation volume in the delayed transportation data, the longer the allocated assumption duration of the allocated assumption period. The allocated assumption period is a period of time after the current moment. Task allocation is performed for each alternative conveyor belt according to the alternative health value, which is convenient for ensuring that the new transportation tasks can be reasonably and effectively assigned to the alternative conveyor belts in good condition, thereby facilitating the guarantee of the continuity and stability of the transportation process.

[0055] Further, after each alternative conveyor belt transports materials based on the adjusted transportation parameters, the technical solution provided by the embodiments of the present application further includes: Obtain the real-time health value corresponding to each alternative conveyor belt when undertaking the new transportation task within the allocated observation time period, and generate a corresponding health line chart. The health line chart includes the real-time health lines corresponding to each alternative conveyor belt when undertaking the new task; determine the observation duration according to the alternative health value of each alternative conveyor belt; determine the random observation moment according to the preset random number algorithm, and based on each random observation moment and the observation duration, determine the observation period corresponding to each random observation moment; obtain the health value change rate and health average value of each real-time health line within each observation period, and determine whether the health value change rate and health average value of each real-time health line within each observation period meet the preset conditions. If so, re-select the alternative conveyor belt based on the delayed transportation data; where the preset conditions are: within any observation period, the health value change rate of each real-time health line is lower than the preset change rate; or, the health difference between the health averages corresponding to any two adjacent observation periods is greater than the preset threshold.

[0056] Specifically, the allocated observation time period is a period of time after each alternative conveyor belt transports materials based on the adjusted transportation parameters. The allocated observation duration corresponding to the allocated observation time period is less than the allocated commitment duration corresponding to the allocated commitment period. The real-time health value corresponding to each alternative conveyor belt when undertaking the new transportation task during the allocated observation time period can be determined from the temperature distribution data of each alternative conveyor belt when undertaking the new transportation task during the allocated observation time period. The specific process can refer to the steps of determining the alternative health value of the alternative conveyor belt in the above-mentioned embodiment and will not be elaborated here. Integrate the real-time health values corresponding to each alternative conveyor belt at each allocated observation moment during the allocated observation time period into a health line graph, and then import all the health line graphs into a preset coordinate system to obtain a health line graph, as Figure 2 shown. Since each alternative conveyor belt superimposes the new transportation task on the basis of the original transportation task, the real-time health value of the alternative conveyor belt during the allocated observation time period may be in a dynamic change state. Once the dynamic change data meets the preset conditions, it is necessary to adjust the current strategy for allocating new tasks, or select other alternative conveyor belts to complete the remaining new transportation tasks to ensure the health and performance parameters of the alternative conveyor belts.

[0057] The observation duration of each alternative conveyor belt can be determined according to the preset duration mapping relationship and the alternative health value of each alternative conveyor belt. The higher the alternative health value, the shorter the corresponding observation duration. The preset duration mapping relationship includes the observation durations corresponding to different alternative health values. Then, determine the random observation moments from the allocated observation time period according to the preset random number algorithm. Finally, based on the observation duration and random observation moments of each alternative conveyor belt, determine the observation period corresponding to each alternative conveyor belt. Based on each random observation moment, comprehensively compare the health value change rate and health mean value of each real-time health line graph within each observation period. If within any observation period, the health value change rate of each real-time health line graph is lower than the preset change rate; or, the health difference between the health means corresponding to any two adjacent observation periods is greater than the preset threshold, it indicates that at this time, it is necessary to re-select the alternative conveyor belt to complete the remaining new transportation tasks. Among them, the preset duration mapping relationship, preset change rate, and preset threshold are not specifically limited in the embodiments of the present application and can be determined by relevant staff according to historical experimental data and then uploaded to the temperature measurement system. Among them, at least two observation points can be randomly selected from the observation time period, and then the health value change rate of the real-time health line graph corresponding to the observation time period can be determined based on the at least two observation points.

[0058] By promptly discovering possible health problems or performance degradation of the alternative conveyor belts, adjustments and replacements can be made in a timely manner when problems occur with the alternative conveyor belts, ensuring the smooth completion of the transportation tasks.

[0059] Further, to facilitate avoiding potential safety accidents and equipment damage, the method provided in the embodiments of the present application further includes: Obtain an abnormal belt surface image corresponding to the abnormal temperature area. When the abnormal belt surface image contains a preset abnormal feature, determine the upstream abnormal source point according to the current transportation position and the belt movement rate of the abnormal temperature area; according to the potential hazard positions of each potential hazard temperature area, determine whether there is a second concerned potential hazard area located between the upstream abnormal source point and the abnormal temperature area; if so, feedback the upstream abnormal source point and the second concerned potential hazard area together.

[0060] Specifically, after determining the abnormal temperature area, feature recognition can be performed on the abnormal surface image to determine whether the reason for the abnormal temperature rise is caused by abnormal belt conveyor equipment, such as bearing wear, roller misalignment, etc. The preset abnormal features include but are not limited to scratches, grooves, wear, tears, delamination, etc. If the abnormal belt surface image contains preset abnormal features, it indicates that the reason for the abnormal temperature rise is caused by abnormal belt conveyor equipment. The specific preset abnormal features can be determined by relevant staff according to historical experimental data and then uploaded to the temperature measurement system. Feature recognition can be performed on the abnormal surface image based on a preset feature recognition algorithm. The specific preset feature recognition algorithm is not specifically limited in the embodiments of the present application.

[0061] According to the current transportation position, the belt movement rate, and the abnormal determination moment when the abnormal temperature area is determined, it is possible to trace back to the upstream abnormal source point. The upstream abnormal source point is the position where bearing wear or roller misalignment occurs. Obtain the potential hazard positions of each potential hazard temperature area, and determine the potential hazard temperature area located between the upstream abnormal source point and the abnormal temperature area as the second concerned potential hazard area. The second concerned potential hazard area is a potential hazard area that may be affected by the upstream abnormal source point. By feedbacking the upstream abnormal source point and the second concerned potential hazard area together, it is convenient to remind relevant staff to take preventive measures in advance, so as to facilitate avoiding potential safety accidents and equipment damage.

[0062] In the embodiments of the present application, a temperature measurement system is provided, such as Figure 3 shown. Figure 3 The temperature measurement system 300 shown includes: a processor 301 and a memory 303. Among them, the processor 301 and the memory 303 are connected, such as connected through a bus 302. Optionally, the temperature measurement system 300 may further include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one, and the structure of the temperature measurement system 300 does not constitute a limitation to the embodiments of the present application.

[0063] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0064] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 3 only one line is shown herein, but it does not mean that there is only one bus or one type of bus.

[0065] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or it may also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0066] The memory 303 is used to store the application program code for executing the solution of this application, and is controlled by the processor 301 for execution. The processor 301 is used to execute the application program code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0067] Among them, the temperature measurement system includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The shown temperature measurement system is only an example and should not impose any limitations on the functions and usage scope of the embodiments of this application.

[0068] The embodiments of this application provide a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0069] The embodiments of this application provide a computer program product, which includes a computer program that, when executed by a processor, implements the method in any of the above embodiments.

[0070] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order restriction, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment, but can be executed at different moments, and their execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0071] The above are only some implementation manners of this application. It should be noted that for those of ordinary skill in the art, without departing from the principle of this application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of this application.

Claims

1. A distributed optical fiber temperature measurement method, characterized in that: include: Acquiring laser pulse scattering data, wherein the laser pulse scattering data is generated by distributed optical fibers along the belt conveyor to be monitored when propagating received laser pulse signals; Identifying scattering features contained in the laser pulse scattering data, and obtaining temperature distribution data corresponding to the belt conveyor to be monitored based on the scattering features; Acquire environmental parameters, belt function parameters and transport material parameters, and determine the temperature anomaly judgment standard corresponding to each belt transport area based on the environmental parameters, the belt function parameters and the transport material parameters; Based on the temperature distribution data and the temperature abnormality judgment standard corresponding to each belt conveying area, judging whether there is an abnormal temperature area in the belt conveyor to be monitored; If so, an abnormality warning is generated based on the abnormal temperature area.

2. A distributed optical fiber temperature measurement method according to claim 1, characterized in that: Also includes: Obtaining the temperature hidden danger judgment standard corresponding to each belt transport area, and judging whether the belt conveyor to be monitored contains a hidden danger temperature area based on the temperature hidden danger judgment standard corresponding to each belt transport area; If yes, then obtain a real-time on-site environment image, and determine whether all potential danger temperature areas include a first potential danger area of ​​concern according to the real-time on-site environment image, where the first potential danger area of ​​concern is a potential danger temperature area that includes a preset feature in the real-time on-site environment image; If there is a first concern hidden danger area, determining a concern feature parameter corresponding to the first concern hidden danger area based on the real-time on-site environment image; A fire extinguishing instruction is generated based on the concerned characteristic parameter, and similar hidden danger areas are identified from other hidden danger temperature areas, and the first concerned hidden danger area, the fire extinguishing instruction and the similar hidden danger area are fed back together.

3. A distributed optical fiber temperature measurement method according to claim 2, characterized in that: Also includes: Determine a temperature distribution display diagram according to the on-site environment image and the temperature distribution data; Obtaining similar characteristic parameters corresponding to each similar hidden danger area, and determining the simulated transportation result corresponding to each similar hidden danger area in the first preset time period according to each similar characteristic parameter; The simulated transport result corresponding to each similar characteristic parameter is marked in the corresponding area of ​​the temperature distribution display diagram to obtain an AR temperature distribution diagram.

4. A distributed optical fiber temperature measurement method according to claim 2, characterized in that: Also includes: Acquire the adjustment record and the downtime record corresponding to the second preset time period, and determine the delayed transportation data according to the adjustment record and the downtime record; Determine an alternative transport belt conveyor based on the delayed transport data, obtain alternative temperature distribution data corresponding to each alternative transport belt conveyor in a third preset time period, and determine an alternative health value of each alternative transport belt conveyor based on each alternative temperature distribution data; According to each alternative health value and the delayed transportation data, a new transportation task is allocated to each alternative transportation belt conveyor, and the transportation parameters of each alternative transportation belt conveyor are adjusted based on each new transportation task.

5. A distributed optical fiber temperature measurement method according to claim 4, characterized in that: After each alternative conveyor belt conveyor transports materials based on the adjusted transport parameters, it also includes: Obtain the real-time health value corresponding to each alternative conveyor belt conveyor when it undertakes the newly added transport task within the allocation observation time period, and generate a corresponding health line graph, wherein the health line graph includes the real-time health line corresponding to each alternative conveyor belt conveyor when it undertakes the newly added task; Determine the observation time according to the alternative health value of each alternative conveyor belt conveyor; Determine a random observation moment according to a preset random number algorithm, and determine an observation period corresponding to each random observation moment based on each random observation moment and the observation duration; Obtain the health value change rate and health mean of each real-time health line in each observation period, and determine whether the health value change rate and health mean of each real-time health line in each observation period meet the preset conditions. If so, reselect an alternative transport belt conveyor based on the delayed transport data; The preset conditions are: During any observation period, the health value change rate of each real-time health line is lower than the preset change rate; Or, the health difference between the corresponding health means of any two adjacent observation periods is greater than a preset threshold.

6. A distributed optical fiber temperature measurement method according to claim 2, characterized in that: Also includes: Acquire an abnormal belt surface image corresponding to the abnormal temperature area, and when the abnormal belt surface image contains a preset abnormal feature, determine the upstream abnormal source point according to the current transport position of the abnormal temperature area and the belt moving speed; According to the hidden danger position of each hidden danger temperature area, judging whether there is a second hidden danger area of ​​concern located between the upstream abnormal source point and the abnormal temperature area; If so, the upstream abnormal source point and the second concern hidden danger area will be fed back together.

7. A temperature measurement system, characterized in that: The temperature measurement system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a distributed optical fiber temperature measurement method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and execute a distributed optical fiber temperature measurement method as described in any one of claims 1 to 6.

9. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the steps of a distributed optical fiber temperature measurement method according to any one of claims 1 to 6.

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