CN114166331A - Non-threat signal identification method and device, electronic equipment and storage medium - Google Patents
Non-threat signal identification method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a non-threat signal identification method, a non-threat signal identification device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an optical fiber vibration sensing signal; extracting a fluctuation characteristic value of the vibration sensing signal; judging whether the fluctuation characteristic value exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value exceeds the preset fluctuation threshold value; if the sensing signals have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in the range of the area, and determining a vibration center according to the vibration sensing signals; and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center. The invention realizes the effective distinction of destructive excavation behavior and non-destructive farming mechanical operation, reduces the interference of non-threatening farming mechanical operation vibration in spring, tillage and autumn harvest, and optimizes the early warning technical effect of the optical fiber sensing vibration detection system.
Description
Technical Field
The invention relates to the field of optical fiber sensing, in particular to a non-threat signal identification signal method, a non-threat signal identification device, electronic equipment and a computer-readable storage medium.
Background
The oil and gas pipeline is an energy artery, the safety is the life of the oil and gas pipeline, and accidents and malicious oil (gas) drilling and stealing behaviors caused by artificial factors (such as excavator construction and farming operation containing soil turning) are main reasons for the oil and gas pipeline accidents. The distributed optical fiber sensing technology uses a communication optical cable laid in the same ditch as an oil and gas pipeline as a vibration sensing and signal transmission element, has the advantages of long distance, real-time performance, corrosion resistance, electromagnetism resistance, light weight, flexibility and the like, and is successfully applied to partial pipelines. For the operations of digging a pit by an excavator, taking soil by a loader and the like, the optical fiber sensing system needs to give an early warning to the operation signals of the farming machine due to the digging action and certain threat to the pipeline and the optical cable. Through the analysis and the discrimination of the vibration signal, alarm information is sent out, and destructive vibration is effectively pre-warned.
Because the laying position of pipeline and optical cable passes through the farmland mostly, in spring ploughing autumn harvest busy season, a large amount of alarm information can cause great interference to the user of system. Vibration signals generated by part of farming machinery operation also have regularity similar to excavation behaviors, for example, a tractor with a stone roller can level the soil, and a harvester can generate regular impact on the soil when harvesting crops, but the farming operation process does not include excavation behaviors, and does not threaten pipelines and optical cables.
However, when the existing underground optical fiber sensing system identifies the vibration signal, the threatened mechanical signal (such as digging by an excavator, taking soil by a loader and the like) and the non-threatened mechanical signal (such as leveling the soil with a stone roller by a tractor and harvesting crops by a harvester) cannot be accurately identified, so that the underground optical fiber sensing system has a high false alarm rate on the non-threatened signal.
Disclosure of Invention
In view of the above, there is a need for a non-threatening signal identification method, device, electronic device and computer readable storage medium, which can solve the problems of the prior art that the non-threatening agricultural machinery signal cannot be identified and the false alarm rate of the non-destructive vibration is too high.
In order to solve the above problem, the present invention provides a non-threat signal identification method, including:
acquiring an optical fiber vibration sensing signal;
preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
Further, judging whether the sensing signals have regularity includes:
extracting characteristic parameters used for judging whether the sensing signals have regularity from the sensing signals;
and judging whether the sensing signals have regularity or not according to the characteristic parameters of the sensing signals.
Further, the characteristic parameters for determining whether the sensing signals have regularity at least include: the number of peaks of the sensing signal, the number of excitations, the excitation interval duration, and the excitation time width.
Further, judging whether the sensing signals have regularity according to the characteristic parameters of the sensing signals comprises the following steps:
calculating the difference value between the number of peaks in the sensing signal and the number of excitations;
judging whether the difference is smaller than or equal to a first threshold value, judging whether the excitation interval duration is larger than or equal to a second threshold value when the difference is smaller than or equal to the first threshold value, judging whether the excitation time width is smaller than or equal to a third threshold value when the excitation interval duration is larger than or equal to the second threshold value, and determining that the sensing signals have regularity when the excitation time width is smaller than or equal to the third threshold value.
Further, collecting vibration sensing signals in a preset time period in the area range, and determining a vibration center according to the vibration sensing signals includes:
collecting vibration sensing signals in the area range within a preset time period to obtain a vibration sensing signal image, and converting the vibration sensing signal image into a matrix image;
and processing the matrix image to determine a vibration center.
Further, processing the matrix image to determine a vibration center includes:
dividing the matrix image into a foreground part and a background part;
dividing a foreground portion of the matrix image into a plurality of connected domains;
determining the coordinates of the pixel points which accord with a preset range in the connected domain according to the gray values of the pixel points in the connected domain;
and determining a vibration center according to the coordinates of the pixel points which accord with the preset range.
Further, the identifying whether the vibration sensing signal is a non-threat signal according to the distance change of the vibration center includes:
calculating the maximum distance difference of the vibration centers in a preset time period;
and judging whether the maximum distance difference is greater than or equal to a preset distance threshold, and determining that the vibration signal sent by the vibration center is a non-threat signal when the maximum distance difference is greater than or equal to the preset distance threshold.
The invention also provides a non-threatening signal identification device, which comprises a sensing signal acquisition module, a vibration sensing signal acquisition module and a non-threatening signal identification module, wherein the sensing signal acquisition module is used for acquiring the vibration sensing signal;
the sensing signal preprocessing module is used for preprocessing the vibration sensing to obtain a fluctuation characteristic value of the sensing signal;
the regularity judging module is used for judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
the vibration center positioning module is used for determining the range of the area where the sensing signal is located when the sensing signal is judged to have regularity, collecting the vibration sensing signal within a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signal;
and the identification module is used for identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
The invention further provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the non-threat signal identification method according to any one of the above technical solutions is implemented.
The present invention also provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the non-threat signal identification method according to any of the above technical solutions.
Compared with the prior art, the invention has the beneficial effects that: firstly, acquiring an optical fiber vibration sensing signal, analyzing the sensing signal and judging whether the sensing signal has regularity or not; then, positioning a vibration center in the region where the regular sensing signals are determined to appear; finally, whether the sensing signal is a non-threat signal or not is judged through analyzing the position change of the vibration center; the destructive excavation behavior and the non-destructive farming mechanical operation are effectively distinguished, the interference of the non-threatening farming mechanical operation vibration in spring, tillage and autumn harvesting seasons is reduced, and the early warning technical effect of the optical fiber sensing vibration detection system is optimized.
Drawings
Fig. 1 is a schematic view of an application scenario of a non-threat signal identification apparatus provided in the present invention;
FIG. 2 is a schematic flow chart diagram illustrating a non-threat signal identification method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a process of determining whether a sensing signal has regularity according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of matrix image analysis of an excavator digging operation provided in an embodiment of the present invention;
FIG. 5 is a schematic view of a matrix image analysis of a loader earth-borrowing operation provided in an embodiment of the present invention;
FIG. 6 is a schematic representation of a matrix image analysis of a tractor having a stone roller for leveling a ground surface in accordance with an embodiment of the present invention;
FIG. 7 is a schematic diagram of a matrix image analysis of harvested crop from a harvester provided in an embodiment of the present invention;
FIG. 8 is a block diagram of an embodiment of a non-threat signal identification apparatus provided by the present invention;
fig. 9 is a block diagram of an embodiment of an electronic device provided in the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
The invention provides a non-threat signal identification method, a non-threat signal identification device, electronic equipment and a computer-readable storage medium, which are respectively described in detail below.
Fig. 1 is a schematic view of a scenario of an embodiment of an application system of a non-threat signal identification method provided by the present invention, where the system may include a server 100, and a non-threat signal identification device, such as the server in fig. 1, is integrated in the server 100.
The server 100 in the embodiment of the present invention is mainly used for:
acquiring an optical fiber vibration sensing signal;
preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
In this embodiment of the present invention, the server 100 may be an independent server, or may be a server network or a server cluster composed of servers, for example, the server 100 described in this embodiment of the present invention includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud server composed of a plurality of servers. Among them, the Cloud server is constituted by a large number of computers or web servers based on Cloud Computing (Cloud Computing).
It is to be understood that the terminal 200 used in the embodiments of the present invention may be a device that includes both receiving and transmitting hardware, i.e., a device having receiving and transmitting hardware capable of performing two-way communication over a two-way communication link. Such a device may include: a cellular or other communication device having a single line display or a multi-line display or a cellular or other communication device without a multi-line display. The specific terminal 200 may be a desktop, a laptop, a web server, a Personal Digital Assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, an embedded device, and the like, and the type of the terminal 200 is not limited in this embodiment.
Those skilled in the art will understand that the application environment shown in fig. 1 is only one application scenario of the present invention, and does not constitute a limitation on the application scenario of the present invention, and that other application environments may further include more or fewer terminals than those shown in fig. 1, for example, only 2 terminals are shown in fig. 1, and it is understood that the application system of the non-threat signal identification method may further include one or more other terminals, which is not limited herein.
In addition, as shown in fig. 1, the application system of the non-threat signal identification method may further include a memory 200 for storing data, such as the sensing signal, the vibration center position, and the like.
It should be noted that the scenario diagram of the non-threat signal identification application system shown in fig. 1 is only an example, the application system and the scenario of the non-threat signal identification method described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not form a limitation on the technical solution provided in the embodiment of the present invention, and it is known by those skilled in the art that, along with the evolution of the application system of the non-threat signal identification method and the appearance of a new service scenario, the technical solution provided in the embodiment of the present invention is also applicable to similar technical problems.
The embodiment of the invention provides a non-threat signal identification method, a flow schematic diagram of which is shown in fig. 2, and the non-threat signal identification method comprises the following steps:
step S201, obtaining an optical fiber vibration sensing signal;
step S202, preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
step S203, judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
step S204, when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and S205, identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
Compared with the prior art, the non-threat signal identification method provided by the embodiment firstly obtains the optical fiber vibration sensing signal, analyzes the sensing signal and judges whether the sensing signal has regularity; then, positioning a vibration center in the region where the regular sensing signals are determined to appear; finally, whether the sensing signal is a non-threat signal or not is judged through analyzing the position change of the vibration center; the destructive excavation behavior and the non-destructive farming mechanical operation are effectively distinguished, the interference of the non-threatening farming mechanical operation vibration in spring, tillage and autumn harvesting seasons is reduced, and the early warning technical effect of the optical fiber sensing vibration detection system is optimized.
As a specific embodiment, in step S201, the optical fiber vibration sensing signal is acquired through the buried optical fiber sensing vibration detection cable.
As a specific embodiment, in step S202, the sensing signal is preprocessed, and a low-frequency portion of the sensing signal is filtered out to obtain a fluctuation characteristic value of the sensing signal.
As a preferred embodiment, in step S203, determining whether the sensing signal has regularity includes:
extracting characteristic parameters used for judging whether the sensing signals have regularity from the sensing signals;
and judging whether the sensing signals have regularity or not according to the characteristic parameters of the sensing signals.
As a preferred embodiment, the characteristic parameters for determining whether the sensing signal has regularity at least include: the number of peaks of the sensing signal, the number of excitations, the excitation interval duration, and the excitation time width.
As a preferred embodiment, the determining whether the sensing signals have regularity according to the characteristic parameters of the sensing signals includes:
calculating the difference value between the number of peaks in the sensing signal and the number of excitations;
judging whether the difference is smaller than or equal to a first threshold, determining that the sensing signal is other interference when the difference is larger than the first threshold, and judging whether the excitation interval duration is larger than or equal to a second threshold when the difference is smaller than or equal to the first threshold; when the excitation interval duration is smaller than a second threshold, determining that the sensing signal is other interference, and when the excitation interval duration is larger than or equal to the second threshold, judging whether the excitation time width is smaller than or equal to a third threshold; and when the excitation time width is larger than a third threshold value, determining that the sensing signal is other interference, and when the excitation time width is smaller than or equal to the third threshold value, determining that the sensing signal has regularity.
As a specific example, in step S203, the first threshold is selected to be 5, the second threshold is selected to be 1.5 seconds, and the third threshold is selected to be 0.7 seconds, and when the fluctuation characteristic value of the sensing signal detected by a certain detection unit exceeds the fluctuation threshold 1000 (the amplitude signal is a relative value, and is not a unit), a single-point analysis is performed on the detection unit to determine whether the sensing signal has regularity. As shown in fig. 3, the process of determining whether the sensing signal has regularity includes:
step S231, extracting the number of the sensing signal peaks, the excitation number, the excitation interval duration and the excitation time width;
step S232, calculating the difference value between the number of the peaks and the number of excitations;
step S233, judging whether the difference is less than or equal to 5, if so, determining other interference, and if not, entering step S234;
step S234, judging whether the excitation interval duration is more than or equal to 1.5 seconds, and if the excitation interval duration is less than 1.5 seconds, determining that the excitation interval duration is other interference; if the time is greater than or equal to 1.5 seconds, the process goes to step S235;
step S235, judging whether the excitation time width is less than or equal to 0.7 second, and if the excitation time width is greater than 0.7 second, determining that the excitation time width is other interference; and if the time is less than or equal to 0.7 second, determining that the vibration signal has regularity.
As a preferred embodiment, in step S204, acquiring a vibration sensing signal within a preset time period within the area range, and determining a vibration center according to the vibration sensing signal includes:
collecting vibration sensing signals in the area range within a preset time period to obtain a vibration sensing signal image, and converting the vibration sensing signal image into a matrix image;
and processing the matrix image to determine a vibration center.
As a preferred embodiment, processing the matrix image to determine the vibration center includes:
dividing the matrix image into a foreground part and a background part;
dividing a foreground portion of the matrix image into a plurality of connected domains;
determining the coordinates of the pixel points which accord with a preset range in the connected domain according to the gray values of the pixel points in the connected domain;
and determining a vibration center according to the coordinates of the pixel points which accord with the preset range.
As a specific embodiment, in step S204, when the signal of a certain area is determined to have regularity, the center of each vibration impact of the area is located; the process of determining the location of the vibration center comprises the following steps:
step S401, collecting signals with preset duration for the area where the regular vibration signals appear, forming the collected data into a matrix image, and mapping the values to an interval of 0-255 (becoming gray values). The physical meaning of the horizontal axis direction of the matrix is space distance, and the physical meaning of the vertical axis direction of the matrix is time;
s402, calculating a segmentation threshold value for an area conforming to the regular vibration characteristics by adopting an OTSU algorithm, and dividing the matrix image into a foreground part and a background part;
step S403, carrying out connected domain segmentation on the foreground part of the region, wherein each separated connected domain contains time and space information of primary impact vibration;
s404, counting the number of pixels contained in each connected domain, sequencing the gray values from large to small, acquiring coordinate values of the first 5% brightest points, and storing the abscissa values of the points into the same array; and calculating the average value of the array of the abscissa, namely the positioning of the impact vibration.
Specifically, in step S402, the OTSU algorithm includes:
using set threshold valuesTHPixels in a matrix image are divided into two categories: c1(less than T)H) And C2(greater than T)H) Then the mean value of each of these two types of pixels is m1、m2Global mean of image is mG. While the probability of a pixel being classified into sum classes is p1、p2. Wherein:
p1*m1+p2*m2＝mG (1)
p1+p2＝1 (2)
according to the concept of variance, the inter-class variance expression is:
σ2＝p1(m1-mG)2+p2(m2-mG)2 (3)
by simplifying the above formula and substituting formula (1) for formula (3), the following can be obtained:
σ2＝p1p2(m1-m2)2 (4)
the value k (k < ∈ (0,255)) that maximizes equation (4) is the OTSU threshold, where,
and traversing the numerical values of 0-255 according to a formula (4), solving k which enables the formula (4) to be maximum, namely a global threshold, and dividing the matrix image into a foreground part and a background part according to the global threshold.
Specifically, in step S403, performing connected component segmentation on the foreground portion of the matrix image includes:
scanning the image line by line, calling a sequence formed by continuous monitoring units in each line as a cluster, and recording the starting point and the end point of the cluster and the line number of the cluster;
for a blob in all rows except the first row, if it has no overlap with all blobs in the previous row, it is given a new label; if the blob has only a region of coincidence with one blob in the previous row, assigning to it the reference number of that blob in the previous row; if the clique has an overlap region with more than 2 cliques in the previous row, assigning the clique with the minimum label of the clique with the overlap region; and writing the labels with connected cliques to the equivalence pairs;
converting the equivalent pairs into equivalent sequences, each sequence being given the same reference numeral;
traversing the marks of the clusters, searching equivalent sequences, starting from 1, and giving each equivalent sequence a label;
the label of each blob is filled into the matrix image.
As a preferred embodiment, in step S205, identifying whether the vibration sensing signal is a non-threat signal according to the distance change of the vibration center includes:
calculating the maximum distance difference of the vibration centers in a preset time period;
and judging whether the maximum distance difference is greater than or equal to a preset distance threshold, and determining that the vibration signal sent by the vibration center is a non-threat signal when the maximum distance difference is greater than or equal to the preset distance threshold.
As a specific example, in step S205, the positions of the vibration centers of the region are counted each time within a period of time (60 seconds), the distance between the positions of the vibration centers is calculated, and the largest distance is recorded as the maximum position difference value. Due to the construction operation of digging and excavating behaviors, the position of the vibration impact center is fixed in a short time, and the vibration impact center is changed greatly in a short time instead of threatening farming machinery operation. Therefore, if the difference value is greater than or equal to 15 meters, the vibration impact center can be considered to move fast, and the signal is judged to be a non-threatening farming machine signal, and if the difference value is less than 15 meters, the vibration impact center can be considered to be fixed, and the area outputs early warning information.
The recognition effect of the method is seen with reference to fig. 4 to 7:
as shown in fig. 4, fig. 4 shows the positioning result of the vibration center of the excitation signal in the first-stage digging operation (there is a digging action, threatening to the pipe) of the excavator, and it can be seen that the center position is relatively fixed, and the alarm output condition is met;
as shown in fig. 5, fig. 5 shows the positioning result of the vibration center of the excitation signal in the soil borrowing operation (there is an excavation behavior, which is threatening to the pipe) of the first-stage loader, and it can be seen that the center position of the vibration center is relatively fixed, and the vibration center meets the alarm output condition;
as shown in fig. 6, fig. 6 is a result of positioning the vibration center of a section of tractor with a stone roller for leveling the ground (without digging behavior and threat), and it can be seen that the position change is large and can be filtered as interference;
as shown in fig. 7, fig. 7 shows the positioning result of the vibration center of the excitation signal of a harvester harvesting crops (without digging action and threat), and it can be seen that the position change is large and can be filtered as interference.
As can be seen from fig. 4 to 7, the non-threatening signal identification method provided by the embodiment can accurately and efficiently identify threatening mechanical signals such as excavator digging operation, loader soil taking operation and the like; and the non-threat signals of leveling the land by using the tractor with the stone roller and harvesting crops by using the harvester. The system is prevented from being interfered by a large number of false alarms, and destructive vibration is effectively pre-warned.
The embodiment of the invention provides a non-threat signal identification device, which has a structural block diagram, as shown in fig. 8, the non-threat signal identification method device comprises a sensing signal acquisition module 801, a sensing signal preprocessing module 802, a regularity judgment module 803, a vibration center positioning module 804 and an identification module 805;
the sensing signal acquisition module 801 is configured to acquire a vibration sensing signal;
the sensing signal preprocessing module 802 is configured to preprocess the vibration sensing to obtain a fluctuation characteristic value of the sensing signal;
the regularity judging module 803 is configured to judge whether a fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold, and when the fluctuation characteristic value exceeds the preset fluctuation threshold, judge whether the sensing signal has regularity;
the vibration center positioning module 804 is configured to position a range of a region where the regular sensing signals are located, collect vibration sensing signals within a preset time period within the range of the region, and determine a vibration center according to the vibration sensing signals;
the identifying module 805 is configured to identify whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
As shown in fig. 9, the present invention further provides an electronic device, which may be a mobile terminal, a desktop computer, a notebook, a palmtop computer, a server, or other computing devices. The electronic device comprises a processor 10, a memory 20 and a display 30.
The storage 20 may in some embodiments be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The memory 20 may also be an external storage device of the computer device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device. Further, the memory 20 may also include both an internal storage unit and an external storage device of the computer device. The memory 20 is used for storing application software installed in the computer device and various data, such as program codes installed in the computer device. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a non-threat signal identification method program 40 is stored on the memory 20, and the non-threat signal identification method program 40 is executable by the processor 10 to implement the non-threat signal identification method of the embodiments of the present invention.
The processor 10 may be, in some embodiments, a Central Processing Unit (CPU), microprocessor or other data Processing chip for executing program code stored in the memory 20 or Processing data, such as executing a non-threat signal identification program.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 30 is used for displaying information at the computer device and for displaying a visual user interface. The components 10-30 of the computer device communicate with each other via a system bus.
In one embodiment, the following steps are implemented when the processor 10 executes the non-threat signal identification method program 40 in the memory 20:
acquiring an optical fiber vibration sensing signal;
preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
The present embodiment also provides a computer-readable storage medium on which a program of a non-threat signal identification method is stored, the program of the non-threat signal identification method realizing the following steps when executed by a processor:
acquiring an optical fiber vibration sensing signal;
preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
The invention discloses a non-threatening signal identification signal method, a non-threatening signal identification signal device, electronic equipment and a computer readable storage medium.A fiber vibration sensing signal is obtained, the sensing signal is analyzed, and whether the sensing signal has regularity or not is judged; then, positioning a vibration center in the region where the regular sensing signals are determined to appear; finally, whether the sensing signal is a non-threat signal or not is judged through analyzing the position change of the vibration center; the destructive excavation behavior and the non-destructive farming mechanical operation are effectively distinguished, the interference of the non-threatening farming mechanical operation vibration in spring, tillage and autumn harvesting seasons is reduced, and the early warning technical effect of the optical fiber sensing vibration detection system is optimized.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A non-threat signal identification method, comprising:
acquiring an optical fiber vibration sensing signal;
preprocessing the sensing signal to obtain a fluctuation characteristic value of the sensing signal;
judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
when the sensing signals are judged to have regularity, determining the range of the area where the sensing signals are located, collecting vibration sensing signals in a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signals;
and identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
2. The non-threat signal identification method according to claim 1, wherein determining whether the sensing signal is regular comprises:
extracting characteristic parameters used for judging whether the sensing signals have regularity from the sensing signals;
and judging whether the sensing signals have regularity or not according to the characteristic parameters of the sensing signals.
3. The non-threat signal identification method according to claim 2, wherein the characteristic parameters for determining whether the sensing signal has regularity at least comprise: the number of peaks of the sensing signal, the number of excitations, the excitation interval duration, and the excitation time width.
4. The non-threat signal identification method according to claim 3, wherein judging whether the sensing signals have regularity according to the characteristic parameters of the sensing signals comprises:
calculating the difference value between the number of peaks in the sensing signal and the number of excitations;
judging whether the difference is smaller than or equal to a first threshold value, judging whether the excitation interval duration is larger than or equal to a second threshold value when the difference is smaller than or equal to the first threshold value, judging whether the excitation time width is smaller than or equal to a third threshold value when the excitation interval duration is larger than or equal to the second threshold value, and determining that the sensing signals have regularity when the excitation time width is smaller than or equal to the third threshold value.
5. The non-threat signal identification method of claim 1, wherein collecting vibration sensing signals within a preset time period within the area, determining a vibration center from the vibration sensing signals, comprises:
collecting vibration sensing signals in the area range within a preset time period to obtain a vibration sensing signal image, and converting the vibration sensing signal image into a matrix image;
and processing the matrix image to determine a vibration center.
6. The non-threat signal identification method of claim 5, wherein processing the matrix image to determine a center of vibration comprises:
dividing the matrix image into a foreground part and a background part;
dividing a foreground portion of the matrix image into a plurality of connected domains;
determining the coordinates of the pixel points which accord with a preset range in the connected domain according to the gray values of the pixel points in the connected domain;
and determining a vibration center according to the coordinates of the pixel points which accord with the preset range.
7. The non-threat signal identification method of claim 1, wherein identifying whether a vibration sensing signal is a non-threat signal based on a change in distance of a center of vibration comprises:
calculating the maximum distance difference of the vibration centers in a preset time period;
and judging whether the maximum distance difference is greater than or equal to a preset distance threshold, and determining that the vibration signal sent by the vibration center is a non-threat signal when the maximum distance difference is greater than or equal to the preset distance threshold.
8. A non-threat signal identification apparatus, comprising:
the sensing signal acquisition module is used for acquiring a vibration sensing signal;
the sensing signal preprocessing module is used for preprocessing the vibration sensing to obtain a fluctuation characteristic value of the sensing signal;
the regularity judging module is used for judging whether the fluctuation characteristic value of the sensing signal exceeds a preset fluctuation threshold value or not, and judging whether the sensing signal has regularity or not when the fluctuation characteristic value of the sensing signal exceeds the preset fluctuation threshold value;
the vibration center positioning module is used for determining the range of the area where the sensing signal is located when the sensing signal is judged to have regularity, collecting the vibration sensing signal within a preset time period in the range of the area, and determining a vibration center according to the vibration sensing signal;
and the identification module is used for identifying whether the vibration sensing signal is a non-threat signal according to the position change of the vibration center.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, implements a non-threat signal identification method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out a non-threat signal identification method as claimed in any one of claims 1 to 7.
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