Multi-warehouse temperature anomaly positioning method and device, computer equipment and storage medium

Abstract

The embodiment of the invention provides a multi-storage temperature anomaly positioning method, and the method is used in a DTS detection device, the DTS detection device is provided with optical fibers, the optical fibers are arranged on a plurality of storage points according to a preset wiring rule, different storage points correspond to the positions of different optical fiber points in the optical fibers, and the positions of the optical fiber points are represented by the distances from the optical fiber sources. The method further comprises the steps of configuring a target mapping relation, wherein the target mapping relation is used for representing the distance between each storage point and the optical fiber source; acquiring temperature data of the optical fiber at each optical fiber point; performing anomaly detection on the temperature data of each optical fiber point; and when it is detected that the temperature of the one or more optical fiber points is abnormal, one or more storage points corresponding to the one or more optical fiber points are positioned according to the one or more optical fiber points and the target mapping relation. According to the invention, when the abnormal temperature is detected, the actual position in the warehouse can be positioned according to the target mapping relation and the optical fiber point with the abnormal temperature.

Description

Technical Field

[0001] Embodiments of the present application relate to the field of optical fiber sensing technology, and in particular, to a method, device, computer device, and storage medium for locating temperature anomalies in multiple warehouses. Background Art

[0002] Storage warehouses are usually used to store sensitive items, such as food, chemicals, drugs, etc. During the storage process in a storage warehouse, temperature changes have an important impact on the quality and safety of the stored items. Traditional storage warehouse location methods often place temperature sensors manually or use fixed temperature detection devices. However, such temperature monitoring methods have problems such as inaccurate location, inability to monitor in real time, the need to use a large number of sensors, and high costs. Summary of the Invention

[0003] Embodiments of the present application provide a method, device, computer device, and computer-readable storage medium for locating temperature anomalies in multiple warehouses to solve or alleviate one or more of the above technical problems.

[0004] One aspect of the embodiments of the present application provides a method for locating temperature anomalies in multiple warehouses, which is used in a DTS detection device. The DTS detection device is configured with an optical fiber, and the optical fiber is laid on multiple warehouse storage points according to a preset wiring rule. Different warehouse storage points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source; the method further includes:

[0005] Configuring a target mapping relationship, where the target mapping relationship is used to represent the distance between each warehouse storage point and the optical fiber source;

[0006] Obtaining the temperature data of the optical fiber at each optical fiber point;

[0007] Performing anomaly detection on the temperature data of each optical fiber point;

[0008] In the case of detecting temperature anomalies at one or more optical fiber points, according to the one or more optical fiber points and the target mapping relationship, locating one or more warehouse storage points corresponding to the one or more optical fiber points.

[0009] Optionally, the preset wiring rule includes:

[0010] The optical fiber is laid according to the storage structure of the warehouse;

[0011] Wherein, the storage structure includes: the number of shelves, the number of storage positions in the shelves, and the number of warehouse storage points in the storage positions.

[0012] Optionally, a DTS demodulator is further configured in the DTS detection device. The DTS demodulator is connected to the end of the optical fiber, and is used to locate the optical fiber points.

[0013] Optionally, the distance between adjacent optical fiber points is the same;

[0014] The method further includes:

[0015] Determine the transmission time of the optical signal according to the distance between adjacent optical fiber points;

[0016] Determine the demodulation frequency of the DTS demodulator according to the transmission time of the optical signal;

[0017] Correspondingly, the obtaining of the temperature data of the optical fiber at each optical fiber point includes:

[0018] Demodulate according to the demodulation frequency of the DTS demodulator to obtain the temperature data of each optical fiber point.

[0019] Optionally, the abnormal detection of the temperature data of each optical fiber point includes:

[0020] Perform smoothing processing on the obtained temperature data of each optical fiber point;

[0021] Compare the smoothed temperature data with a preset temperature range;

[0022] When the smoothed temperature data is outside the preset temperature range, determine that the temperature of the corresponding optical fiber point is abnormal.

[0023] Optionally, the performing of the smoothing processing on the obtained temperature data of each optical fiber point includes:

[0024] Calculate the average value of the temperature data of the obtained optical fiber point and the temperature data of its adjacent optical fiber point.

[0025] Optionally, the method further includes:

[0026] According to the one or more storage points located corresponding to the one or more optical fiber points, send out corresponding alarm notifications.

[0027] Another aspect of the embodiments of the present application provides a method and device for locating abnormal temperature in multiple storages, which is used in a DTS detection device. The DTS detection device is configured with an optical fiber, and the optical fiber is arranged on multiple storage points according to a preset wiring rule. Different storage points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source; the device includes:

[0028] A configuration module for configuring a target mapping relationship, where the target mapping relationship is used to represent the distance between each storage point and the fiber optic source;

[0029] An acquisition module for acquiring temperature data of the optical fiber at each optical fiber point;

[0030] A detection module for performing anomaly detection on the temperature data of each optical fiber point;

[0031] A positioning module for, when detecting temperature anomalies at one or more optical fiber points, positioning one or more storage points corresponding to the one or more optical fiber points according to the one or more optical fiber points and the target mapping relationship.

[0032] Another aspect of the embodiments of the present application provides a computer device, including:

[0033] A memory, a processor, and a computer program stored on the memory and executable on the processor;

[0034] When the processor executes the computer program, the steps of the multi-warehouse temperature anomaly positioning method as described in any one of the above are implemented.

[0035] Another aspect of the embodiments of the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program can be executed by at least one processor, so that the at least one processor executes the steps of the multi-warehouse temperature anomaly positioning method as described in any one of the above.

[0036] The embodiments of the present application adopting the above technical solutions may include the following advantages:

[0037] The embodiments of the present application can, when detecting that the temperature data of the optical fiber point is abnormal, locate the actual position in the warehouse according to the target mapping relationship and the optical fiber point with abnormal temperature, so that the abnormal temperature position can be quickly and accurately located, and there is no need to deploy a large number of sensors, and the overall cost is relatively low. Description of the Drawings

[0038] The drawings exemplarily show the embodiments and form part of the description, and are used together with the written description of the description to explain the exemplary embodiments. The shown embodiments are only for illustrative purposes and do not limit the scope of the claims. In all the drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0039] Figure 1 Schematically shows a flowchart of the multi-warehouse temperature anomaly positioning method according to Embodiment 1 of the present application;

[0040] Figure 2 YesFigure 1 The specific flowchart of step S204 in

[0041] Figure 3 Schematically shows another flowchart of the multi-warehouse temperature anomaly location method according to Embodiment 1 of the present application;

[0042] Figure 4 is Figure 1 The specific flowchart of step S202 in

[0043] Figure 5 Schematically shows a block diagram of the multi-warehouse temperature anomaly location method device according to Embodiment 2 of the present application;

[0044] Figure 6 Schematically shows a schematic diagram of the hardware architecture of a computer device according to Embodiment 3 of the present application. Specific embodiments

[0045] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0046] It should be noted that the descriptions involving "first", "second", etc. in the embodiments of the present application are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions appears to be contradictory or unable to be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present application.

[0047] In the description of the present application, it should be understood that the numerical labels before the steps do not identify the order of execution of the steps, but are only used to facilitate the description of the present application and distinguish each step, and thus cannot be understood as a limitation to the present application.

[0048] The following briefly describes the prior art and the objectively existing technical problems: Storage bins are usually used to store sensitive items such as food, chemicals, pharmaceuticals, etc. During the storage process in the storage bin, temperature changes have an important impact on the quality and safety of the stored items. Traditional storage bin positioning methods often involve manually placing temperature sensors or using fixed temperature detection devices. However, such temperature monitoring methods have problems such as inaccurate positioning, inability to monitor in real time, the need to use a large number of sensors, and high costs.

[0049] To this end, the embodiments of the present application provide a multi-warehouse temperature anomaly positioning technical solution. In this technical solution, when it is detected that the temperature data of the optical fiber points is abnormal, the actual position in the warehouse can be located according to the target mapping relationship and the optical fiber points with abnormal temperature, without the need to deploy a large number of sensors, and the overall cost is relatively low. See the following for details.

[0050] Finally, for ease of understanding, an exemplary operating environment is provided below.

[0051] One or more racks, where one rack is configured with multiple storage points, and each storage point is used to store items.

[0052] One or more optical fibers, and one optical fiber can pass through multiple storage points.

[0053] A DTS detection device, connected to the end of the optical fiber, for obtaining the temperature data of the storage points from each optical fiber point of the optical fiber.

[0054] The following takes the DTS detection device as the execution subject and introduces the technical solution of the present application through multiple embodiments. It should be noted that these embodiments can be implemented in various different forms and should not be construed as being limited only to the embodiments described herein.

[0055] Embodiment 1

[0056] In this embodiment, the multi-warehouse temperature anomaly positioning method is used in the DTS detection device. The DTS detection device is configured with an optical fiber, and the optical fiber is arranged on multiple storage points according to a preset wiring rule. Different storage points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source.

[0057] Figure 1 Schematically shows a flowchart of the multi-warehouse temperature anomaly positioning method according to Embodiment 1 of the present application.

[0058] As Figure 1 shown, the multi-warehouse temperature anomaly positioning method may include steps S200 to S206, where:

[0059] Step S200, configure the target mapping relationship, where the target mapping relationship is used to represent the distance between each storage point and the fiber optic source;

[0060] Step S202, obtain the temperature data of the optical fiber at each fiber optic point;

[0061] Step S204, perform anomaly detection on the temperature data of each fiber optic point;

[0062] Step S206, in the case where the temperature of one or more fiber optic points is detected to be abnormal, locate one or more storage points corresponding to the one or more fiber optic points according to the one or more fiber optic points and the target mapping relationship.

[0063] The multi-warehouse temperature anomaly location method provided in this embodiment can, when detecting that the temperature data of the fiber optic points is abnormal, locate the actual position in the warehouse according to the target mapping relationship and the fiber optic points with abnormal temperature, so that the abnormal temperature position can be quickly and accurately located, and there is no need to deploy a large number of sensors, and the overall cost is relatively low.

[0064] The following combines Figure 1 , and elaborates on each step in steps S200 to S206 in detail.

[0065] Step S200, configure the target mapping relationship, where the target mapping relationship is used to represent the distance between each storage point and the fiber optic source.

[0066] The optical fiber is laid in the warehouse according to a preset wiring rule, so that the temperature information at multiple locations in the warehouse can be reflected on the optical fiber.

[0067] The target mapping table is used to represent the distance between the storage point corresponding to each fiber optic point and the fiber optic source. For example, fiber optic point A1 is 1 meter away from the fiber optic source; fiber optic point A2 is 2 meters away from the fiber optic source... fiber optic point A10 is 10 meters away from the fiber optic source.

[0068] When the fiber optic point with abnormal temperature is located, the distance between this fiber optic point and the fiber optic source is found according to the target mapping table.

[0069] Step S202, obtain the temperature data of the optical fiber at each fiber optic point.

[0070] The warehouse structure contains multiple shelves, and multiple storage points are set on each shelf according to the placement structure of the items. Each fiber optic point corresponds to a storage point. The principle of obtaining temperature through the optical fiber is as follows:

[0071] The basic principle of the DTS temperature measurement and positioning technology is derived from the Optical Time Domain Reflectometer (OTDR). Through the time-domain analysis of the backscattered light, the variation law of the optical fiber attenuation with length is given, which is used to detect the transmission attenuation and fault location of the optical fiber. The backscattered light is the scattered light that returns to the incident end of the optical fiber along the optical fiber. For a single-ended system, it is easy to capture the backscattered light signal. The Rayleigh scattered light is affected by the optical fiber loss during light transmission, so information such as the optical fiber length, internal defects of the optical fiber, and joint loss can be obtained by detecting the intensity change of the backscattered Rayleigh light.

[0072] The laser emits a pulsed laser beam into the sensing optical fiber. When the laser propagates in the sensing optical fiber, it is assumed that scattering occurs at a point at a distance d from the head end of the optical fiber; the backscattered light is received by the photodetector and transmitted to the control unit after signal processing. The control unit records the time when the laser is emitted and the scattered light signal is received. Assume that t is the time from the emission of the pulsed laser to the reception of the backscattered light, and it is considered that t is the time taken for the laser and the backscattered light to propagate in the optical fiber, and the time of the detection process is ignored. If it is considered that the incident pulsed laser and the backscattered light have the same speed, it is easy to obtain:

[0073]

[0074] n represents the refractive index of the optical fiber; c represents the speed of light in a vacuum.

[0075] It can be seen from the above formula that to locate the scattering point, the time t needs to be obtained.

[0076]

[0077] According to the above formula, to know the position of the reflected light at a certain point, only the time t consumed when the incident light returns to the incident end needs to be recorded.

[0078] That is, the distributed Raman optical fiber temperature measurement system adopts the OTDR technology and utilizes the temperature-sensitive characteristics of the anti-Stokes Raman light in the Raman scattered light to realize the distributed measurement of the temperature field along the optical fiber.

[0079] Step S204, perform anomaly detection on the temperature data of each optical fiber point.

[0080] Set a preset temperature range. When the temperature data of the optical fiber point is outside the preset temperature range, it is determined that the temperature of the corresponding optical fiber point is abnormal.

[0081] Applied example: The optical fiber contains optical fiber points A1, A2, A3, A4, and A5.

[0082] Among them, the temperature of optical fiber point A1 is obtained as 45°C, the temperature of optical fiber point A2 is obtained as 55°C, the temperature of optical fiber point A3 is obtained as 69°C, the temperature of optical fiber point A4 is obtained as 52°C, and the temperature of optical fiber point A5 is obtained as 43°C. The preset temperature range is -10°C to 65°C. It can be seen that the temperature of optical fiber point A3 exceeds the preset temperature range, thereby determining that the temperature of optical fiber point A3 is abnormal.

[0083] In other alternative embodiments, the temperature changes of each optical fiber point over time can be continuously recorded periodically, so as to monitor whether there are situations such as continuous high temperature, continuous temperature rise, continuous low temperature, continuous temperature drop, and large temperature changes at a certain optical fiber point. When there are the above situations, it can also be determined that the temperature of the optical fiber point is abnormal, thereby reducing the possibility of disasters.

[0084] Please combine Figure 2 , in order to filter out the noise of the temperature data of the optical fiber points, in an alternative embodiment, the abnormal detection of the temperature data of each optical fiber point may include steps S2040 to S2044, where:

[0085] Step S2040, perform smoothing processing on the obtained temperature data of each optical fiber point;

[0086] Step S2042, compare the smoothed temperature data with the preset temperature range;

[0087] Step S2044, when the smoothed temperature data is outside the preset temperature range, determine that the temperature of the corresponding optical fiber point is abnormal.

[0088] Step S2040, perform smoothing processing on the obtained temperature data of each optical fiber point.

[0089] The smoothing processing may include processing the temperature data by the moving average method. This method calculates the average value of the temperature data points and replaces the original data points with the average value. The moving average can eliminate short-term fluctuations and noise. The smoothing processing may also include processing the temperature data by the exponential smoothing method. This method performs weighted averaging on the temperature data, with newer data points being given higher weights and older data points having gradually decreasing weights.

[0090] In this alternative embodiment, smoothing the temperature data can make it more stable, avoiding misjudgment of abnormal temperature fiber optic points caused by external light sources, electromagnetic fields, or errors during the demodulation process of the DTS demodulator, and improving the accuracy of locating the storage points corresponding to the abnormal temperature fiber optic points in this solution. Additionally, when the smoothed temperature data is lower or higher than the preset temperature range, it indicates that there may be situations such as item heat loss damage or fire hazards in the storage structure. At this time, the corresponding management personnel can be notified in a timely manner to check the located storage points to stop or prevent disasters at the storage points.

[0091] In an exemplary application, the preset temperature range can also be configured as the reasonable tolerable temperature range of the items stored in the storage structure. In actual applications, the storage structure is often full, emptied, and sometimes the category of the stored items is changed. Moreover, the reasonable tolerable storage temperature ranges required by the same type of items are also different. Therefore, it is necessary to set the corresponding preset temperature range based on the reasonable tolerable storage temperature range required by the items stored in the storage structure to prevent damage to the items caused by the difference between the preset temperature range and the reasonable tolerable storage temperature range required by the items after changing the category of the stored items.

[0092] Step S206, in the case of detecting abnormal temperatures at one or more fiber optic points, locate one or more storage points corresponding to the one or more fiber optic points according to the one or more fiber optic points and the target mapping relationship.

[0093] The target mapping relationship reflects the specific location of a certain fiber optic point in the warehouse. Therefore, when detecting abnormal temperature at a certain fiber optic point, the storage point with abnormal temperature can be directly determined according to the target mapping relationship. That is, the temperature data of each fiber optic point reflects the temperature conditions at different positions in the actual warehouse.

[0094] In an alternative embodiment, the temperature range that a linear fiber optic can detect is limited. To enable the fiber optic to evenly detect the temperatures at multiple positions in the warehouse, the preset wiring rule includes:

[0095] The fiber optic layout is determined according to the storage structure of the warehouse;

[0096] Among them, the storage structure includes: the number of shelves, the number of storage positions in the shelves, and the number of storage points in the storage positions.

[0097] Specifically, when laying the fiber optic in the storage structure, the overall S-shaped wiring is adopted from top to bottom or from bottom to top, and each storage bin can adopt the S-shaped corner fan-shaped routing for laying the fiber optic in the large direction.

[0098] Furthermore, in this embodiment, a DTS demodulator is also configured in the DTS detection device. The DTS demodulator is connected to the end of the optical fiber and is used to locate the optical fiber points.

[0099] The DTS demodulator can receive the optical signal reflected back by the optical fiber and analyze and process it. It can identify and analyze the information contained in the optical signal, including data such as optical intensity and temperature.

[0100] The DTS demodulator can also provide a real-time monitoring function, continuously record temperature data, and store and analyze it as needed for subsequent analysis or historical data review.

[0101] Before receiving the temperature data in the optical fiber, the distance between adjacent optical fiber points can also be configured. For example, the distance between adjacent optical fiber points is the same. As Figure 3 shown, the multi-warehouse temperature anomaly location method can also include steps S100 to S102, where:

[0102] Step S100: Determine the transmission time of the optical signal according to the distance between adjacent optical fiber points;

[0103] Step S102: Determine the demodulation frequency of the DTS demodulator according to the transmission time of the optical signal.

[0104] The optical signal travels inside the optical fiber at a speed close to the speed of light. When the distance between two adjacent optical fiber points is L meters, the transmission time of the optical signal is determined to be L / speed of the optical signal, and the demodulation frequency of the DTS demodulator is to perform demodulation once every L / speed of the optical signal time. That is to say, by adjusting the demodulation frequency of the DTS demodulator to adjust the distance between each optical fiber point, the higher the receiving frequency of the DTS demodulator, the closer the distance between the optical fiber points, and vice versa. Therefore, in this alternative embodiment, the demodulation frequency is determined according to the distance between adjacent optical fiber points, so that the DTS demodulator can accurately obtain the temperature data of the optical fiber points corresponding to each warehouse point.

[0105] Correspondingly, please combine Figure 4 to obtain the temperature data of the optical fiber at each optical fiber point, including:

[0106] Step S2020: Demodulate according to the demodulation frequency of the DTS demodulator to obtain the temperature data of each optical fiber point.

[0107] Specifically, taking the DTS demodulator demodulating at a frequency of 1 / speed of the optical signal and making the distance between each optical fiber point 1 meter as an example.

[0108] The time required for an optical signal to travel through 1 meter of optical fiber is t. The demodulation frequency of the DTS demodulator is to perform demodulation every time interval of t, so that the interval between the received optical fiber points is 1 meter.

[0109] In the storage structure of this example, there are 5 shelves, each shelf has 7 storage positions, and each storage position has 4 storage points. Among them, each storage point requires 6 meters of optical fiber to be laid, 1 meter of optical fiber is required for the transition between each layer of storage positions, and 4 meters of optical fiber is required for the transition between each shelf.

[0110] Using the fixed-point reception rule of the DTS demodulator (the reception frequency of the demodulator is set to Y), receiving once is 1 meter. Using this feature as the dependent variable of "unit one", the wiring rule of the optical fiber in the storage structure (the number of meters required for wiring at each storage location) obtains the change rate K value, the number of meters required for the transition between each storage location, the number of meters required for the transition between each storage rack, etc. obtain the constant b value, and the corresponding linear function is obtained. In some storage structures, due to wiring changes, the linear function may be presented in segments.

[0111] Assign numbers to each shelf according to the optical fiber routing direction. Assuming that the optical fiber position where the temperature anomaly is located is at Y1 meters, according to the above storage structure, each shelf requires: (the length of optical fiber required for each storage point * the number of storage points on each shelf + the transition optical fiber length of the storage position) * the number of storage position layers on each shelf, that is, (6 * 4 + 1) * 7 = 175 (meters). It can be seen that each shelf needs to lay 175 meters of optical fiber. It is also known that 4 meters of optical fiber is required for the transition between each shelf, and the function can be obtained: Y1 = 175 * X1 + 4. (X1 + 1) is the number of the shelf where the temperature anomaly is located. According to the DTS demodulator, the value of Y1 can be obtained, and then X1 can be calculated.

[0112] Regard 175 * X1 as Y2 (the remainder of Y1 - 175 * X1 + 4). Assign numbers to each layer of storage positions according to the optical fiber routing direction. Assuming that the optical fiber position where the temperature anomaly is located is at the X2 storage position (X2 is the number of the storage position where the temperature anomaly is located), according to the above storage structure, each layer of storage positions requires: the length of optical fiber required for each storage point * the number of storage points on each storage position, that is, 6 * 4 = 24 (meters). It can be seen that each layer of storage positions in each shelf needs to lay 24 meters of optical fiber. It is also known that 1 meter of optical fiber is required for the transition between each layer of storage positions, and the function can be obtained: Y2 = 24X2 + 1. When Y2 is known, X2 can be calculated according to this function. (X2 + 1) is the number of the storage position where the temperature anomaly is located.

[0113] Regarding 24X2 as Y3, assign serial numbers to each storage point according to the optical fiber routing direction. Assuming that the optical fiber position where the temperature anomaly is located is at the X3 storage point, according to the above storage structure, each storage point requires 6 meters of optical fiber, and the function Y3 = 6X3 can be obtained. Given X2, X3 can be calculated according to this function. (X3 + 1) is the serial number of the storage point where the temperature anomaly is located.

[0114] Based on the above calculation function, when the DTS demodulator obtains that the temperature anomaly is at the Y1 meter of the optical fiber, it can be known that the temperature anomaly point is at the (X3 + 1)th storage point on the (X2 + 1)th layer of the storage location on the (X1 + 1)th shelf.

[0115] In an alternative embodiment, please combine Figure 1 , the method further includes the following steps:

[0116] Step S208, issue corresponding alarm notifications according to the one or more storage points located corresponding to the one or more optical fiber points.

[0117] The alarm notification can include sound, text message, email, etc., and be pushed to the mobile phone or computer device of relevant personnel. So that after receiving the alarm notification, relevant personnel can take appropriate actions to handle the abnormal temperature point, such as checking the shelf, adjusting the temperature, repairing the fault, etc.

[0118] In this embodiment, the DTS detection device further includes a monitoring terminal, and the monitoring terminal displays the temperature data of all optical fiber points on the monitoring display screen according to the target mapping relationship.

[0119] Specifically, the monitoring display screen can arrange the temperature data of all optical fiber points according to the target mapping relationship, and establish a corresponding virtual image according to the arrangement of the shelves in the storage structure and the storage locations in the shelves. The virtual image can display the corresponding heat distribution map according to the real-time temperature in the storage structure to facilitate personnel to conduct storage monitoring and disaster investigation at any time.

[0120] The warehouse does not necessarily store only a single type of item. Sometimes it stores multiple different types of items, and the required storage temperature ranges for different items are also different. In order to avoid the preset temperature range being too single and not matching the multiple storage temperature ranges required for multiple items, in other alternative embodiments, the optical fiber can be divided into multiple segments, and the preset temperature range can be divided into corresponding multiple different sub-preset temperature ranges according to the multiple segments of optical fiber. The sub-preset temperature range is set according to the storage temperature required for the item corresponding to this segment of optical fiber.

[0121] Embodiment 2

[0122] Figure 5The block diagram of the multi-warehouse temperature anomaly positioning method and device according to Embodiment 2 of the present application is schematically shown. The device can be divided into one or more program modules. One or more program modules are stored in a storage medium and executed by one or more processors to complete the embodiments of the present application. The program modules referred to in the embodiments of the present application refer to a series of computer program instruction segments that can complete specific functions. The following description will specifically introduce the functions of each program module in this embodiment. The device is used in a DTS detection device, and the DTS detection device is configured with an optical fiber. The optical fiber is laid on multiple warehouse points according to a preset wiring rule. Different warehouse points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source. As Figure 5 shown, the multi-warehouse temperature anomaly positioning method and device 1600 may include: a configuration module 1610, an acquisition module 1620, a detection module 1630, and a positioning module 1640, where:

[0123] The configuration module 1610 is used to configure a target mapping relationship, where the target mapping relationship is used to represent the distance between each warehouse point and the optical fiber source;

[0124] The target mapping table is used to represent the distance between the warehouse point corresponding to each optical fiber point and the optical fiber source. When an optical fiber point with an abnormal temperature is located, the distance from this optical fiber point to the optical fiber source is found according to the target mapping table.

[0125] The configuration module 1610 is further used to: determine the transmission time of the optical signal according to the spacing between adjacent optical fiber points; determine the demodulation frequency of the DTS demodulator according to the transmission time of the optical signal.

[0126] Among them, by setting the demodulation frequency of the DTS demodulator, the spacing between each optical fiber point received by the DTS demodulator is adjusted. The higher the reception frequency of the DTS demodulator, the closer the distance between the optical fiber points, and vice versa.

[0127] The acquisition module 1620 is used to acquire the temperature data of the optical fiber at each optical fiber point. Each optical fiber point corresponds to the position of a different warehouse point.

[0128] Among them, the acquisition of the temperature data of the optical fiber at each optical fiber point includes:

[0129] Demodulating according to the demodulation frequency of the DTS demodulator to acquire the temperature data of each optical fiber point.

[0130] The detection module 1630 is used to perform anomaly detection on the temperature data of each optical fiber point;

[0131] Set a preset temperature range. When the temperature data of the optical fiber point is outside the preset temperature range, it is determined that the temperature of the corresponding optical fiber point is abnormal.

[0132] The detection module 1630 is further configured to: perform smoothing processing on the temperature data of each optical fiber point obtained; compare the smoothed temperature data with a preset temperature range; and determine that the temperature of the corresponding optical fiber point is abnormal when the smoothed temperature data is outside the preset temperature range.

[0133] Among them, the smoothing processing may include processing the temperature data by the moving average method. This method calculates the average value of the temperature data points and replaces the original data points with the average value. The moving average can eliminate short-term fluctuations and noises.

[0134] The smoothing processing may also include processing the temperature data by the exponential smoothing method. This method performs weighted averaging on the temperature data, with newer data points being given higher weights and older data points having gradually decreasing weights.

[0135] Performing smoothing processing on the temperature data can make it more stable, avoid misjudging the optical fiber points with abnormal temperature due to the influence of external light sources, electromagnetic fields, or errors during the demodulation process of the DTS demodulator, and improve the accuracy of locating the storage points corresponding to the optical fiber points with abnormal temperature by this method.

[0136] The preset temperature range is the reasonable tolerable temperature range of the items stored in the storage structure.

[0137] When the smoothed temperature data is lower than or higher than the preset temperature range, it indicates that there may be situations such as item hypothermia damage or fire hazards in the storage structure.

[0138] The positioning module 1640 is configured to, when detecting that the temperature of one or more optical fiber points is abnormal, locate one or more storage points corresponding to the one or more optical fiber points according to the one or more optical fiber points and the target mapping relationship.

[0139] The target mapping relationship reflects the specific position of an optical fiber point in the storage. Therefore, when detecting that the temperature of a certain optical fiber point is abnormal, the storage point with abnormal temperature can be directly determined according to the target mapping relationship. That is, the temperature data of each optical fiber point reflects the temperature conditions at different positions in the actual storage.

[0140] The multi-storage temperature abnormal positioning method device 1600 may further include:

[0141] The alarm module 1650 is configured to issue corresponding alarm notifications according to the one or more storage points located corresponding to the one or more optical fiber points.

[0142] Among them, the alarm notification can include sounds, text messages, emails, etc., and be pushed to the mobile phones or computer devices of relevant personnel. So that after receiving the alarm notification, relevant personnel can take appropriate actions to handle the abnormal temperature points, such as checking the shelves, adjusting the temperature, repairing faults, etc.

[0143] Embodiment 3

[0144] Figure 6 Schematically shows a hardware architecture diagram of a computer device 10000 suitable for implementing the multi-warehouse temperature anomaly location method according to Embodiment 3 of the present application. In some embodiments, the computer device 10000 can be a terminal device such as a smart phone, a wearable device, a tablet computer, a personal computer, a vehicle-mounted terminal, a game console, a virtual device, a workbench, a digital assistant, a set-top box, a robot, etc. In other embodiments, the computer device 10000 can be a rack-mounted server, a blade server, a tower server, or a cabinet server (including an independent server, or a server cluster composed of multiple servers), etc. As Figure 6 shown, the computer device 10000 includes but is not limited to: a memory 10010, a processor 10020, and a network interface 10030 that can be communicatively linked to each other through a system bus. Among them:

[0145] The memory 10010 includes at least one type of computer-readable storage medium. The readable storage medium includes flash memory, a hard disk, a multimedia card, a card-type memory (such as an SD or DX memory), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10010 can be an internal storage module of the computer device 10000, such as the hard disk or memory of the computer device 10000. In other embodiments, the memory 10010 can also be an external storage device of the computer device 10000, such as a plug-in hard disk equipped on the computer device 10000, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Of course, the memory 10010 can also include both the internal storage module and the external storage device of the computer device 10000. In this embodiment, the memory 10010 is generally used to store the operating system and various application software installed on the computer device 10000, such as the program code of the multi-warehouse temperature anomaly location method. In addition, the memory 10010 can also be used to temporarily store various data that have been output or will be output.

[0146] In some embodiments, the processor 10020 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor, or other chips. The processor 10020 is generally used to control the overall operation of the computer device 10000, such as performing control and processing related to data interaction or communication with the computer device 10000. In this embodiment, the processor 10020 is used to run the program code stored in the memory 10010 or process data.

[0147] The network interface 10030 may include a wireless network interface or a wired network interface. The network interface 10030 is generally used to establish a communication link between the computer device 10000 and other computer devices. For example, the network interface 10030 is used to connect the computer device 10000 to an external terminal through a network, and establish a data transmission channel and a communication link between the computer device 10000 and the external terminal. The network can be an enterprise intranet (Intranet), the Internet, the Global System of Mobile communication (abbreviated as GSM), Wideband Code Division Multiple Access (abbreviated as WCDMA), 4G network, 5G network, Bluetooth, Wi-Fi and other wireless or wired networks.

[0148] It should be noted that Figure 6 Only the computer device with components 10010 - 10030 is shown, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented.

[0149] In this embodiment, the multi-warehouse temperature anomaly location method stored in the memory 10010 can also be divided into one or more program modules and executed by one or more processors (such as the processor 10020) to complete the embodiments of the present application.

[0150] Embodiment 4

[0151] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the multi-warehouse temperature anomaly location method in the embodiment are implemented.

[0152] In this embodiment, the computer-readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., equipped on the computer device. Of course, the computer-readable storage medium may also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the computer-readable storage medium is generally used to store the operating system and various application software installed in the computer device, such as the program code of the multi-warehouse temperature anomaly location method in the embodiment. In addition, the computer-readable storage medium can also be used to temporarily store various data that have been output or will be output.

[0153] Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the embodiments of the present application can be implemented by a general computer device. They can be concentrated on a single computer device or distributed on a network composed of multiple computer devices. Optionally, they can be implemented by program codes executable by the computer device. Thus, they can be stored in a storage device and executed by the computer device. And in some cases, the steps shown or described can be executed in a different order from here, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to implement. In this way, the embodiments of the present application are not limited to any specific combination of hardware and software.

[0154] It should be noted that the above are only the preferred embodiments of the present application, and do not limit the patent protection scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A method for locating abnormal temperature in multiple warehouses, characterized in that, For use in a DTS detection device, the DTS detection device is configured with an optical fiber, the optical fiber is laid on multiple storage points according to a preset wiring rule, different storage points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source; The method further includes: Configuring a target mapping relationship, where the target mapping relationship is used to represent the distance between each storage point and the optical fiber source; Obtaining the temperature data of the optical fiber at each optical fiber point; Performing anomaly detection on the temperature data of each optical fiber point; In the case where the temperature of one or more optical fiber points is detected to be abnormal, according to the one or more optical fiber points and the target mapping relationship, locating one or more storage points corresponding to the one or more optical fiber points.

2. The method according to claim 1, wherein The preset wiring rule includes: The optical fiber layout is determined according to the storage structure of the warehouse; Wherein, the storage structure includes: the number of shelves, the number of storage positions in the shelves, and the number of storage points in the storage positions.

3. The method according to claim 2, wherein A DTS demodulator is further configured in the DTS detection device, the DTS demodulator is connected to the end of the optical fiber, and the DTS demodulator is used to locate the optical fiber point.

4. The method according to claim 3, wherein The distance between adjacent optical fiber points is the same; The method further includes: Determining the transmission time of the optical signal according to the distance between adjacent optical fiber points; Determining the demodulation frequency of the DTS demodulator according to the transmission time of the optical signal; Correspondingly, the obtaining the temperature data of the optical fiber at each optical fiber point includes: Demodulating according to the demodulation frequency of the DTS demodulator to obtain the temperature data of each optical fiber point.

5. The method according to claim 1, wherein The performing anomaly detection on the temperature data of each optical fiber point includes: Performing smoothing processing on the obtained temperature data of each optical fiber point; Comparing the smoothed temperature data with a preset temperature range; In the case where the smoothed temperature data is outside the preset temperature range, determining that the temperature of the corresponding optical fiber point is abnormal.

6. The method according to claim 5, characterized in that, The performing smoothing processing on the obtained temperature data of each optical fiber point includes: Calculating the average value of the obtained temperature data of the optical fiber point and the temperature data of its adjacent optical fiber point.

7. The method according to claim 1, wherein The method further includes: Sending a corresponding alarm notification according to the located one or more storage points corresponding to the one or more optical fiber points.

8. A method and device for locating abnormal temperature in multiple warehouses, characterized in that, For use in a DTS detection device, the DTS detection device is configured with an optical fiber, the optical fiber is laid on multiple storage points according to a preset wiring rule, different storage points correspond to the positions of different optical fiber points in the optical fiber, and the position of the optical fiber point is represented by the distance from the optical fiber source; The device includes: A configuration module for configuring a target mapping relationship, where the target mapping relationship is used to represent the distance between each storage point and the optical fiber source; An acquisition module for acquiring the temperature data of the optical fiber at each optical fiber point; A detection module for performing anomaly detection on the temperature data of each optical fiber point; A positioning module for, in the case where the temperature of one or more optical fiber points is detected to be abnormal, locating one or more storage points corresponding to the one or more optical fiber points according to the one or more optical fiber points and the target mapping relationship.

9. A computer device, the computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the multi-warehouse temperature anomaly location method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which can be executed by at least one processor, so that the at least one processor executes the steps of the multi-warehouse temperature anomaly location method according to any one of claims 1 to 7.

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