CN114563035B - Distributed high-speed data acquisition method and system for damage effectiveness evaluation - Google Patents
Distributed high-speed data acquisition method and system for damage effectiveness evaluation Download PDFInfo
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- 238000000926 separation method Methods 0.000 claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000009191 jumping Effects 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims description 39
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- 238000004590 computer program Methods 0.000 claims description 12
- 230000001960 triggered effect Effects 0.000 claims description 8
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- 238000010586 diagram Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 238000004880 explosion Methods 0.000 description 4
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- 230000003287 optical effect Effects 0.000 description 2
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Abstract
The invention relates to the field of damage efficiency evaluation, and discloses a distributed high-speed data acquisition method and system for damage efficiency evaluation, wherein the method comprises the following steps: a data acquisition step of acquiring detection data of the optical fiber sensor so as to obtain acquisition signals, and inputting the acquisition signals into the FPGA module in a data mode; a data separation step, namely dividing a plurality of storage spaces in the FPGA module, and separating the acquired signals entering the FPGA module so that the acquired signals enter different storage spaces in sequence in sections; a storage recording step of recording the storage state of each storage space; and a process step of jumping, wherein if the storage state recorded in a certain storage space reaches a preset degree, the data in the storage space are processed through a pre-stored noise reduction algorithm. The invention can realize the acceleration of the acquisition of a large amount of real-time data recorded by the on-site sensor node, thereby realizing the high-speed acquisition of the data.
Description
Technical Field
The invention relates to the field of damage efficiency evaluation, in particular to a distributed high-speed data acquisition method and system for damage efficiency evaluation.
Background
The damage efficiency evaluation is a process of comprehensively analyzing and evaluating damage capability and damage effect by comprehensively considering factors such as warhead type, battlefield environment, firepower force, target property and the like. The damage effectiveness evaluation system is generally composed of ammunition/warhead power analysis software, target vulnerability analysis software, damage effectiveness analysis software and a damage evaluation base database. In the analysis of the power of ammunition/warhead, the explosion damage efficiency of a large area needs to be tested, and in the test, a distributed data acquisition system is an important means for acquiring test parameters.
The distributed data acquisition system comprises sensor nodes, signal transmission equipment and a master control system which are arranged on site. In the process that the distributed data acquisition system acquires the test parameters, the master control system needs to exchange data with all the field sensor nodes, the field sensor nodes need to record a large amount of real-time data, and then the field sensor nodes all transmit the recorded real-time data to the master control system through the signal transmission equipment.
In the traditional distributed sensor system, a large amount of real-time data is generally transmitted to a storage unit of a master control system, the storage unit stores all the data and then reduces noise, and in the processing process, the storage unit needs to store all the data and then reduces noise, so that the acquisition speed of the distributed sensor system on field data is greatly influenced.
Disclosure of Invention
The invention aims to solve the technical problem of providing a distributed high-speed data acquisition method and system for damage efficiency evaluation, which can realize high-speed acquisition of explosion damage efficiency test data.
The invention relates to a distributed high-speed data acquisition method for damage efficiency evaluation, which comprises the following steps:
A data acquisition step of acquiring detection data of the optical fiber sensor so as to obtain acquisition signals, and inputting the acquisition signals into the FPGA module in a data mode;
a data separation step, namely dividing a plurality of storage spaces in the FPGA module, and separating the acquired signals entering the FPGA module so that the acquired signals enter different storage spaces in sequence in sections;
A storage recording step of recording the storage state of each storage space;
and a process step of jumping, wherein if the storage state recorded in a certain storage space reaches a preset degree, the data in the storage space are processed through a pre-stored noise reduction algorithm.
Optionally, in the data separation step, the separation processing is specifically performed in units of frames on the acquired signals.
Optionally, in the data separation step, the size of the divided storage space is consistent with the size of the space occupied by one frame of the acquisition signal.
Optionally, in the storing and recording step, the collected signals are stored in a storage space of the FPGA according to a format of a first-in first-out queue, each time a new data is collected, the queue pointer is moved backward by one bit, the data pointed by the current pointer is taken out and added with the collected data, and the accumulated value replaces the data at the pointer position and pushes the data into the queue.
Optionally, each queue of the storage space is provided with a count pointer, and in the step of storing and recording, the count pointer accumulates and records the data storing condition of the current storage space.
Optionally, in the step of skipping, the preset degree means that the storage space is full of one frame of data.
Optionally, each queue in each storage space is provided with a jump pointer, and in the step of jumping in the flow, if the storage state recorded in a certain storage space reaches a preset degree, the jump pointer is triggered, and the step of storage conversion is executed, so that the data enter the next storage space to continue to be stored. Optionally, the storing and converting step includes: and inputting the acquired data into the next storage space for continuous storage, and converting the working state of the storage space triggered by the jump pointer from the accumulated processing state to the noise reduction processing state.
The computer readable storage medium of the present invention stores a computer program which, when executed by a processor, enables the distributed high-speed data acquisition method for damage effectiveness assessment.
The distributed high-speed data acquisition system for the damage efficiency evaluation comprises a plurality of distributed optical fiber sensors arranged on a damage efficiency evaluation site, an FPGA module for processing signals of the distributed optical fiber sensors, and a control unit, wherein the control unit is also connected with a communication unit for interacting with the damage efficiency evaluation system, the distributed optical fiber sensors are connected with the FPGA module through the communication unit, the FPGA module is connected with the control unit, and the control unit can control the distributed high-speed data acquisition system to realize the distributed high-speed data acquisition method for the damage efficiency evaluation.
The beneficial effects are that: according to the invention, the acquired signals are processed by different storage spaces through the data separation step, each storage space works at different stages, one storage space receives data, and when the accumulation processing is carried out, the other storage space can carry out noise reduction processing of the acquired signals, and the processes of data acquisition, storage recording and noise reduction processing of different storage spaces can be simultaneously carried out without waiting for all data acquisition and noise reduction after the accumulation is finished, so that the processing speed of a distributed data acquisition system on the data can be accelerated, and the acquisition of a large amount of real-time data recorded by a site sensor node is accelerated, so that the distributed sensor system can realize high-speed data acquisition;
In addition, the whole acquisition process is little affected by network fluctuation, when the network is unstable, the stored or noise-reduced data cannot be retransmitted because of network interruption, and the distributed sensor system can further realize high-speed data acquisition.
Drawings
FIG. 1 is a flow chart of a distributed high-speed data acquisition method for lesion effectiveness assessment according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a distributed high-speed data acquisition system for lesion efficacy assessment according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The invention is further described in detail below in connection with the detailed description.
Embodiment one:
Referring to fig. 1-3, a system for a distributed high-speed data collection method for damage efficiency assessment of the present invention includes a plurality of distributed optical fiber sensors 1 disposed at a damage efficiency assessment site, an FPGA module 3 for processing signals of the distributed optical fiber sensors 1, and a control unit 4, where the control unit 4 is further connected with a communication unit 2 for interacting with the damage efficiency assessment system.
It should be noted that the optical fiber sensor is a sensor for converting the state of the measured object into a measurable optical signal, and has the advantages of good safety, electromagnetic interference resistance, high insulation strength, corrosion resistance, etc., and can adapt to the complex environment of the damage efficiency evaluation site, thereby having an important role in the damage efficiency evaluation system.
Referring to fig. 1, fig. 1 shows a flow chart of a distributed high-speed data acquisition method for damage efficiency evaluation according to the present invention, which specifically includes the following steps:
Step S1, a data acquisition step, namely acquiring detection data of an optical fiber sensor so as to obtain acquisition signals, and inputting the acquisition signals into an FPGA module 3 in a data mode;
In this embodiment, the FPGA module 3 may be composed of hardware resources such as a logic unit, a RAM unit (random access memory), a multiplier, etc., where the FPGA module 3 realizes data storage through the RAM unit, and the FPGA module 3 is a programmable module, and the data processing speed is comparable to that of a dedicated chip.
In this embodiment, the detection data of the optical fiber sensor includes explosion damage performance test data, and may specifically include fluctuation state data of temperature or stress of the object to be detected.
In the implementation, the data of the optical fiber sensor can be collected in a multi-channel mode, the optical fiber sensor to be detected generates the brillouin scattering and the Rayleigh scattering, the brillouin scattering signals and the Rayleigh scattering signals are separated after being transmitted in the same direction, then the brillouin scattering signals and the Rayleigh scattering signals are detected by the 2 detectors respectively, and the output signals of the 2 detectors are collected through the two channels by the FPGA module 3, so that the fluctuation state of the temperature or the stress of the object to be detected, namely the explosion damage efficiency test data, under the long-distance condition is obtained.
Step S2, a data separation step, namely dividing a plurality of storage spaces in the FPGA module 3, and separating and processing acquisition signals entering the FPGA module 3 so that the acquisition signals enter different storage spaces in sequence in sections;
Optionally, in step S2, the separation processing is performed on the acquired signals, specifically in units of frames.
The frame is a single image frame of the minimum unit in the video animation, which corresponds to each shot on the motion picture film, one frame is a still image, and each frame is a still image.
In this embodiment, the acquired signals are separated, and each frame of image is sequentially stored in different storage spaces.
Specifically, the size of the divided storage space is consistent with the size of the space occupied by one frame of acquisition signal.
In this embodiment, when a frame acquisition signal is acquired, the size of the space that the frame acquisition signal needs to occupy is calculated, for example, the size of the frame acquisition signal is 5M, and then a storage space with 5M is divided for storing the frame acquisition signal.
Step S3, a storage recording step, recording the storage state of the current storage space;
In this embodiment, after a certain frame acquisition signal is stored in a certain storage space, the storage state of the storage space is recorded.
Specifically, the storage states of the storage space may include an accumulation processing state and a noise reduction processing state.
When a certain frame acquisition signal is stored, the storage space is recorded as an accumulated processing state. When the storage space is full of one frame of data, and after the jump pointer is triggered, the storage space is recorded as a noise reduction processing state.
Optionally, in the step S3, the collected signals are stored in a storage space of the FPGA according to a format of a first-in first-out queue, and each time a new data is collected, the queue pointer is moved backward by one bit, the data pointed by the current pointer is taken out and added to the collected data, and the accumulated value replaces the data at the pointer position and pushes the data into the queue.
In the step S3, the count pointers record the data storage condition of the current storage space in an accumulated manner.
And S4, a process jumping step, wherein if the storage state recorded in a certain storage space reaches a preset degree, the data in the storage space are processed through a pre-stored noise reduction algorithm.
Optionally, in step S4, the preset degree refers to that the current storage space is full of one frame of data.
In this embodiment, when a certain storage space is full of one frame of data, the data of the storage space is processed by a noise reduction algorithm.
Optionally, the queues in each storage space are provided with jump pointers, and in the step S4, if the recorded storage state reaches a preset level, the jump pointers are triggered, and the storage conversion step is executed:
The storage conversion step includes:
and enabling the data to enter the next storage space for continuous storage, and converting the working state of the storage space triggered by the jump pointer from the accumulation processing state to the noise reduction processing state.
In this embodiment, after a certain storage space is full of one frame of data, the jump pointer is triggered to make the data enter the next storage space for further storage, i.e. the acquisition signal in the data segmentation step is input into the next storage space for further storage.
In the implementation process, the acquired signals are processed by different storage spaces through the data separation step, each storage space works in different stages, one storage space receives data, and when the accumulation processing is carried out, the other storage space can carry out noise reduction processing of the acquired signals, and the processes of data acquisition, storage recording and noise reduction processing of different storage spaces can be simultaneously carried out without waiting for all data acquisition and noise reduction after the accumulation is finished, so that the processing speed of a distributed data acquisition system on the data can be accelerated, and the acquisition of a large amount of real-time data recorded by a site sensor node is accelerated, and the distributed sensor system can realize high-speed data acquisition.
In addition, the whole acquisition process is affected little by network fluctuation, when the network is unstable, the stored or noise-reduced data cannot be retransmitted because of network interruption, so that the problem that all data are retransmitted if the network interruption occurs in the transmission process can be avoided, and the distributed sensor system can further realize high-speed data acquisition.
Embodiment two:
referring to fig. 2, fig. 2 is a schematic diagram of a distributed high-speed data acquisition system for damage efficiency assessment according to the present invention, where the distributed high-speed data acquisition system for damage efficiency assessment includes a plurality of distributed optical fiber sensors 1 disposed at a damage efficiency assessment site, an FPGA module 3 for processing signals of the distributed optical fiber sensors 1, and a control unit 4, and the control unit 4 is further connected with a communication unit 2 for interacting with the damage efficiency assessment system.
The distributed optical fiber sensor 1 is connected with the FPGA module 3 through the communication unit 2 so as to enable the FPGA module 3 to collect field data collected by the distributed optical fiber sensor 1;
The FPGA module 3 is connected with the control unit 4 to realize that the control unit 4 reads the data of the FPGA module 3 and controls the storage of the FPGA module 3, so that the distributed high-speed data acquisition system can be controlled by the control unit 4 to realize the following distributed high-speed data acquisition method for evaluating the damage efficiency.
The distributed high-speed data acquisition method for damage effectiveness evaluation specifically comprises the following steps:
A data acquisition step of acquiring detection data of the optical fiber sensor so as to obtain acquisition signals, and inputting the acquisition signals into the FPGA module 3 in a data mode;
a data separation step, namely dividing a plurality of storage spaces in the FPGA module 3, and separating acquired signals entering the FPGA module 3 so that the acquired signals enter different storage spaces in sequence in sections;
A storage recording step of recording the storage state of each storage space;
a process jump step, if the storage state recorded in a certain storage space reaches a preset degree, processing the data in the storage space through a pre-stored noise reduction algorithm; triggering a jump pointer, and executing a storage conversion step so that the data enters the next storage space to continue to be stored; the storage conversion step includes: and inputting the acquired data into the next storage space for continuous storage, and converting the working state of the storage space triggered by the jump pointer from the accumulated processing state to the noise reduction processing state.
In the implementation process, the data are acquired through the detection data of the optical fiber sensor, the acquired signals are processed by different storage spaces through the data separation step, each storage space works in different stages, one storage space receives the data, when the accumulation processing is carried out, the other storage space can carry out the noise reduction processing of the acquired signals, the processes of the data acquisition, the storage recording and the noise reduction processing of the different storage spaces can be simultaneously carried out, the noise reduction is not required to be carried out after all the data acquisition and the accumulation are completed, the processing speed of a distributed data acquisition system on the data can be accelerated, and the acquisition of a large amount of real-time data recorded by a site sensor node is accelerated, so that the distributed sensor system can realize high-speed data acquisition;
embodiment III:
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, in which an electronic device 100 for implementing a distributed high-speed data collection method for damage efficiency evaluation according to an embodiment of the present application can be described by the schematic diagram shown in fig. 3.
As shown in fig. 3, an electronic device 100 includes one or more processors 102, one or more memory devices 104, interconnected by a bus system and/or other forms of connection mechanisms (not shown). It should be noted that the components and structures of the electronic device 100 shown in fig. 3 are exemplary only and not limiting, and that the electronic device may have some of the components shown in fig. 3 or may have other components and structures not shown in fig. 3, as desired.
The processor 102 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.
The storage 104 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 102 to perform functions in the embodiments of the present application described below (as implemented by the processor) and/or other desired functions. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer readable storage medium.
The present invention also provides a computer storage medium having a computer program stored thereon, in which the method of the present invention can be stored if implemented in the form of software functional units and sold or used as a stand-alone product. Based on this understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer storage media may be suitably augmented or reduced according to the requirements of jurisdictions in which such computer storage media do not include electrical carrier signals and telecommunications signals, such as in certain jurisdictions, according to jurisdictions and patent practices.
The above embodiments are merely embodiments of the present invention and are not intended to limit the scope of the patent protection. Insubstantial changes and substitutions can be made by one skilled in the art in light of the teachings of the invention, as yet fall within the scope of the claims.
Claims (3)
1. The distributed high-speed data acquisition method for the damage effectiveness evaluation is characterized by comprising the following steps of:
A data acquisition step of acquiring detection data of the optical fiber sensor so as to obtain acquisition signals, and inputting the acquisition signals into the FPGA module in a data mode;
a data separation step, namely dividing a plurality of storage spaces in the FPGA module, and separating the acquired signals entering the FPGA module so that the acquired signals enter different storage spaces in sequence in sections;
In the data separation step, when a certain frame of acquisition signal is acquired, the size of a space which the frame of acquisition signal needs to occupy is calculated, and the size of a divided storage space is consistent with the size of the space occupied by one frame of acquisition signal;
In the data separation step, the separation processing of the acquired signals is specifically performed by taking a frame as a unit;
A storage recording step of recording the storage state of each storage space;
in the storage recording step, the acquisition signals are stored in a storage space of the FPGA according to a first-in first-out queue format, each time new data is acquired, a queue pointer is moved backwards by one bit, the data pointed by the current pointer is taken out and added with the acquired data, and the accumulated value replaces the data at the pointer position and presses the data into the queue;
The queues of each storage space are provided with counting pointers, and in the storage recording step, the counting pointers record the data storage condition of the current storage space in an accumulated manner;
a process jump step, if the storage state recorded in a certain storage space reaches a preset degree, processing the data in the storage space through a pre-stored noise reduction algorithm;
in the step of flow skip, the preset degree means that the storage space is full of one frame of data;
In the process of jumping, if the storage state recorded in a certain storage space reaches a preset degree, triggering the jumping pointer, and executing a storage conversion step to enable the data to enter the next storage space for continuous storage;
The storage conversion step includes: and inputting the acquired data into the next storage space for continuous storage, and converting the working state of the storage space triggered by the jump pointer from the accumulated processing state to the noise reduction processing state.
2. A computer readable storage medium storing a computer program, which when executed by a processor is capable of implementing the distributed high-speed data acquisition method for lesion efficacy assessment as set forth in claim 1.
3. The distributed high-speed data acquisition system for the damage efficiency evaluation is characterized by comprising a plurality of distributed optical fiber sensors arranged on a damage efficiency evaluation site, an FPGA module for processing signals of the distributed optical fiber sensors, and a control unit, wherein the control unit is also connected with a communication unit for interacting with the damage efficiency evaluation system, the distributed optical fiber sensors are connected with the FPGA module through the communication unit, the FPGA module is connected with the control unit, and the control unit can control the distributed high-speed data acquisition system to realize the distributed high-speed data acquisition method for the damage efficiency evaluation in claim 1.
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