Data acquisition and analysis equipment based on big data algorithm model

Abstract

The invention discloses data acquisition and analysis equipment based on a big data algorithm model, and the equipment comprises an information acquisition device management control module which is used for transmitting a control instruction to a voice information acquisition and processing module and a communication equipment information acquisition module. The voice information collecting and processing module is used for collecting voice information received and sent by the communication equipment when the communication equipment works; the communication equipment information collecting module is used for collecting data information of the communication equipment; the data security module is used for encrypting the voice information and the data information; the injection interference module is used for forcibly injecting interference audio data into an earphone port of communication equipment; the local storage module is used for storing voice information, data information and the interference audio data; and the information evaluation module is used for carrying out statistical analysis on the voice information and the data information and generating an evaluation report. According to the data acquisition and analysis equipment based on the big data algorithm model, the timeliness, accuracy and objectivity of data acquisition can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the fields of data communication and radio technology, and in particular to a collection and analysis device based on a big data algorithm model. Background Art

[0002] During the use of communication equipment in various scenarios, in order to record the working status of the communication equipment and the operating steps of the personnel, the currently known technical implementation method for collecting relevant information of the communication equipment is to use a series of equipment such as spectrum analyzers, power meters, high-speed data acquisition cards, disk matrices, etc. to strictly operate according to the process steps, and manually conduct comprehensive evaluation to screen out valid information; after screening out a certain amount of valid information, the information must be evaluated. The known method is to manually identify the weights of relevant indicators such as on and off status, voice clarity, and information accuracy for manual evaluation.

[0003] The existing technology has the following disadvantages:

[0004] (1) There are many types of collection equipment and complicated protocols, making it difficult to achieve automated information collection;

[0005] (2) The acquisition equipment is expensive, and the subsequent maintenance costs and personnel investment are large, making it difficult to promote on a large scale;

[0006] (3) The collection equipment is large in size and of many types. There are certain conditions required for information collection by communication equipment in actual applications in field scenarios, such as power supply, mountain transportation, and rain protection.

[0007] (4) The collection operation steps require high technical skills and a large number of personnel. The collection personnel need to be proficient in using various instruments and have a certain understanding of the objects being collected. They need to screen and compare the various types of massive information collected. The workload is large and the efficiency is low. It has certain limitations and cannot be promoted and applied on a large scale.

[0008] (4) Information evaluation is done manually, with a limited number of evaluation indicators and a small scope, making it difficult to make real-time changes based on key evaluation indicators.

[0009] (5) Information evaluation methods require the analysis and evaluation of massive amounts of data. Each additional evaluation indicator increases labor costs, leading to low efficiency and difficulty in outputting relevant results in real time.

[0010] Application number CN202411260621.3 discloses a visual monitoring data acquisition and analysis device, including: a data acquisition component, which executes the capture of image data of the beach coverage area to obtain a field captured image; a signal identification mechanism, which is used to intelligently identify whether the field captured image is obtained by preset image processing of the corresponding unprocessed image based on the arithmetic mean of each gradient value corresponding to each pixel point of the foreground imaging area representing the processed image and the arithmetic mean of each gradient value corresponding to each pixel point of the foreground imaging area of ​​the field captured image. Summary of the Invention

[0011] The present invention aims to overcome the technical problems in the prior art of large workload and low efficiency in information collection of communication equipment during actual application in field scenarios, and to provide a data collection and analysis device based on a big data model, which can effectively improve the timeliness, accuracy and objectivity of data collection.

[0012] The present invention provides a data acquisition and analysis device based on a big data algorithm model, comprising:

[0013] Information collection device management and control module: used to receive control instructions issued by the management and control platform, and to send control instructions to the voice information collection and processing module and the communication equipment information collection module;

[0014] Voice information collection and processing module: used to receive control instructions sent by the information collection device management and control module, used to collect voice information received and sent by the communication device when working according to the control instructions and store it in the local storage module, used to process the voice information and transmit it to the information evaluation module and the management and control platform;

[0015] Communication equipment information acquisition module: used to receive the control instructions sent by the information acquisition device management control module, used to collect data information of the communication equipment according to the control instructions and store it in the local storage module, used to process the data information and transmit it to the information evaluation module and management control platform;

[0016] Data security module: used to encrypt voice and data information before data transmission;

[0017] Interference injection module: used to forcibly inject interference audio data stored in the local storage module into the earphone port of the communication device;

[0018] Local storage module: used to store voice information, data information and interference audio data;

[0019] Information evaluation module: used to receive voice information transmitted by the voice information collection and processing module, and to receive data information transmitted by the communication equipment information collection module; used to perform statistical analysis on voice information and data information, and generate an evaluation report based on the analysis results.

[0020] The information collection device management and control module can receive control instructions issued by the management and control platform to remotely control and manage the data collection and analysis equipment. The control instructions include terminal wake-up, terminal sleep, terminal status, interference mode, voice collection, communication equipment information collection, communication equipment information type collection, etc.; the terminal status instruction completes the query of the terminal's own information, such as the connection status between the terminal and the communication equipment, the network status of the terminal, the remaining power of the terminal, etc.; the interference mode, voice collection, communication equipment information collection, communication equipment information type collection and other instructions complete the related communication equipment interference injection, communication equipment voice collection and communication equipment information collection functions by calling the interference injection module, voice information collection and processing module, and communication equipment information collection module.

[0021] The voice information collection and processing module can collect the voices received and sent by the communication equipment when it is working, store the voices locally, and transmit the collected voices back to the management and control platform in real time via wireless. During voice communication, there will be a lot of blank voices. The module can perform "blank deletion" processing on the blank voices in the collection process to save local storage space and wireless transmission bandwidth.

[0022] The communication equipment information collection module can collect the location information of the communication equipment, store the collected communication equipment information locally, and transmit it back to the management and control platform in real time via wireless means; it has the time synchronization function, can collect the network number and station number data of the communication equipment, and can mark the collected information with a timestamp.

[0023] The interference injection module can forcibly inject the interference audio data stored in the data acquisition and analysis equipment into the headphone port of the communication device. The interference injection patterns include but are not limited to tuning interference, to simulate the working state of the communication device when encountering interference, so that the trainees can experience the working conditions of the communication device when it is interfered with. The purpose of injecting interference is to enable the users of the communication device to experience the physical characteristics of the communication device and the headphone microphone group after the communication device is interfered with, and to simulate the real external interference effect. The real communication interference is radio frequency interference. The interference source is non-specific, the interference method is random, and the interference path is channel interference. The interference source of the simulated injection interference is the collector itself. The interference method is pre-made by software, and the interference path is channel interference. When evaluating the interference effect, both use the same evaluation algorithm.

[0024] The data security module uses AES128-bit encryption mechanism to encrypt the interactive data between data collection and analysis equipment and the management and control platform, ensuring the security of related data transmission.

[0025] The data collection and analysis device based on the big data algorithm model described in the present invention preferably includes:

[0026] Data collection and processing module: The voice information collected and processed by the voice information collection and processing module is used to receive the data information transmitted by the communication equipment information collection module;

[0027] Real-time communication network analysis module: used to analyze the communication relationship of communication equipment based on voice information and data information, and to collect statistics on the status information and communication information of communication equipment during exercise missions;

[0028] Emergency handling effect evaluation module: Based on the communication signal-to-noise ratio of the communication equipment transmitted by the data collection and processing module, analyze the communication link quality of the communication equipment and the reasons for changes in the communication link quality, and generate a comprehensive evaluation effect.

[0029] The data collection and analysis equipment based on the big data algorithm model described in the present invention is, as a preferred method, status information including the power on and off status, receiving and sending status, receiving and sending duration, usage frequency, and communication signal-to-noise ratio of the communication equipment during heavy exercise tasks; the communication information includes the hot communication time periods of the communication equipment of the troop group and the individual unit.

[0030] The data acquisition and analysis device based on the big data algorithm model described in the present invention is, as an optimal method, when the quality of the communication link decreases, the emergency state processing effect evaluation module analyzes the emergency information and comprehensively analyzes the emergency information of the communication equipment to generate a comprehensive evaluation effect.

[0031] The data collection and analysis equipment based on the big data algorithm model described in the present invention is, as an optimal method, the emergency information includes the number of emergencies, the start time of the emergencies, the duration of the emergencies and the degree of the emergencies.

[0032] The data collection and analysis device based on the big data algorithm model described in the present invention, as a preferred embodiment, the information evaluation module further includes:

[0033] Voice monitoring module: used to determine the voice data transmitted by communication equipment;

[0034] Data statistics analysis module: used to perform statistical analysis on the usage information of communication equipment and communication network and store the analysis results. The usage information includes service type, network access time, number of communications, communication time and network stability time;

[0035] Business display module: used to display comprehensive evaluation results;

[0036] Auxiliary spectrum control module: used to statistically analyze usage information and automatically generate frequency usage information for battlefields, designated communication networks, and designated communication equipment;

[0037] Report generation module: used to generate exercise reports.

[0038] The data collection and analysis device based on the big data algorithm model described in the present invention, as an optimal method, processes voice information including deleting blank voices.

[0039] The data acquisition and analysis device based on the big data algorithm model described in the present invention, as a preferred embodiment, the data information includes location information, working status information, working mode information and working parameter information; the location information includes longitude, latitude and elevation; the working status information includes service type, level status, keying status; the working mode information includes fixed frequency, frequency hopping, adaptive and automatic; the working parameter information includes power, machine version, health version, voltage, power, time, rate, channel, channel group.

[0040] The data acquisition and analysis device based on the big data algorithm model described in the present invention, as a preferred embodiment, uses the AM3358 microcontroller platform based on ARM Cortex-A8, and the peripheral etherCAT and Profibus industrial interfaces.

[0041] The data acquisition and analysis device based on the big data algorithm model described in the present invention is, as a preferred embodiment, an AM3358 microcontroller platform including: a microprocessor unit subsystem based on an ARM Cortex-A8 microprocessor, an SGX graphics accelerator subsystem for 3D graphics acceleration, and a programmable real-time unit subsystem.

[0042] The acquisition terminal uses the ARM3358-720M module and Linux operating system. The 3358 chip select system supports a two-port 10 / 100 / 1000 Ethernet switch, two Controller Area Network (CAN) ports, one x16 and two x8 interfaces, six UARTs, two McASPs, two McSPIs, a 12-bit successive approximation register, a general-purpose memory controller, three 32-bit enhanced capture modules, and three enhanced high-resolution PWM modules. The module also includes optional flexible encryption hardware accelerators (AES, SHA, PKA, RNG), perfectly meeting the requirements of this acquisition and jamming injection terminal.

[0043] The local oscillator uses a phase-locked loop solution, and the PLL chip uses the integrated phase-locked loop chip AF133, which has high integration, low phase noise floor (-215dBc / Hz), and low power consumption. The VCO uses the hybrid integrated voltage-controlled oscillator ROS-119+, which has low power consumption and low phase noise.

[0044] The filter adopts the integrated filter product produced by our company, which is small in size, high in reliability, easy to install and use. The filter group delay fluctuation is 0.2nS, and the technical indicators meet the use requirements.

[0045] The transceiver isolation is related to the transceiver control signals of the headset microphone assembly, which are divided into two paths and connected to the MCU. One path serves as the MCU input to detect the operating status of the communication equipment; the other path generates the communication equipment's transmission control signal from the MCU, which serves as the enable signal for frequency measurement. To prevent the high current when the communication equipment transmits signals from damaging the MCU, a 3A relay is used to isolate the transceiver.

[0046] Due to space and structural limitations, electromagnetic compatibility is a key issue. Since the acquisition terminal is installed on the device under test, it is easily interfered by electromagnetic radiation. At the same time, electromagnetic radiation will have a certain impact on the sensitivity of the radio. Measures such as adding a filter circuit to the power supply end of the fixture and using cables with good shielding effect can be used to eliminate electromagnetic interference problems.

[0047] During use of the present invention, the data acquisition and analysis equipment completes initialization according to the acquisition tasks issued by the management and control platform; at the same time, according to the acquisition tasks, the corresponding tasks are performed, such as communication equipment information acquisition, voice information acquisition, interference injection, voice quality assessment, etc. The relevant acquisition data is stored locally in the terminal and transmitted to the management and control platform in real time.

[0048] The present invention has the following advantages:

[0049] (1) The present invention realizes the real-time data collection and can effectively avoid various errors;

[0050] (2) The present invention can achieve timely data feedback and can provide real-time feedback to the control center on any problems that arise during the task. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a diagram of the composition of a data collection and analysis device based on a big data algorithm model;

[0052] Figure 2 This is a diagram showing the composition of a data collection and analysis equipment information evaluation module based on a big data algorithm model;

[0053] Figure 3 This is a business process diagram for a data collection and analysis equipment information evaluation module based on a big data algorithm model;

[0054] Figure 4 This is a workflow diagram for data collection and analysis equipment based on a big data algorithm model;

[0055] Figure 5 This is a schematic diagram of a data acquisition and analysis device product based on a big data algorithm model in Example 2;

[0056] Figure 6 This is a functional block diagram of the AM3358 microprocessor in Example 2;

[0057] Figure 7 This is a schematic diagram of the structure of the integrated phase-locked loop chip AF133 in Example 2;

[0058] Figure 8 This is a schematic diagram of the filter product in Example 2;

[0059] Figure 9 This is the transceiver isolation circuit diagram in Example 2.

[0060] Reference numerals:

[0061] 100. Information collection device management and control module; 200. Voice information collection and processing module; 300. Communication equipment information collection module; 400. Data security module; 500. Interference injection module; 600. Local storage module; 700. Information evaluation module; 710. Collection data collection and processing module; 720. Real-time communication network analysis module; 730. Emergency handling effect evaluation module; 740. Voice monitoring module; 750. Data statistical analysis module; 760. Service display module; 770. Auxiliary spectrum management and control module; 780. Report generation module. DETAILED DESCRIPTION

[0062] Example 1

[0063] like Figure 1 As shown, a data collection and analysis device based on a big data algorithm model includes:

[0064] The information collection device management control module 100 is used to receive control instructions issued by the management control platform and send the control instructions to the voice information collection and processing module 200 and the communication device information collection module 300;

[0065] The voice information collection and processing module 200 is used to receive control instructions sent by the information collection device management and control module 100, collect voice information received and sent by the communication device during operation according to the control instructions, store the collected voice information in the local storage module 600, and process the voice information before transmitting it to the information evaluation module 700 and the management and control platform;

[0066] Communication equipment information collection module 300: used to receive the control instructions sent by the information collection device management control module 100, used to collect data information of the communication equipment according to the control instructions and store it in the local storage module 600, used to process the data information and transmit it to the information evaluation module 700 and the management control platform; the data information includes location information, working status information, working mode information and working parameter information; the location information includes longitude, latitude and elevation; the working status information includes service type, level status and keying status; the working mode information includes fixed frequency, frequency hopping, adaptive and automatic; the working parameter information includes power, machine version, health version, voltage, power, time, rate, channel and channel group;

[0067] Data security module 400: used to encrypt voice information and data information before data transmission;

[0068] The interference injection module 500 is used to forcibly inject the interference audio data stored in the local storage module 600 into the earphone port of the communication device;

[0069] Local storage module 600: used to store voice information, data information and interference audio data;

[0070] Information evaluation module 700: used to receive voice information transmitted by the voice information collection and processing module 200, and to receive data information transmitted by the communication equipment information collection module 300; used to perform statistical analysis on the voice information and data information, and generate an evaluation report based on the analysis results.

[0071] like Figure 2 As shown, the information evaluation module 700 includes:

[0072] The data collection and processing module 710 is used to collect the voice information transmitted by the voice information collection and processing module 200 and receive the data information transmitted by the communication device information collection module 300;

[0073] Real-time communication network analysis module 720: used to analyze the communication relationship of communication equipment based on voice information and data information, and to collect statistics on the status and communication information of communication equipment during the exercise mission; the status information includes the power on / off status, transmission and reception status, transmission and reception duration, usage frequency, and communication signal-to-noise ratio of the communication equipment during the exercise mission; the communication information includes the hot communication time periods of the communication equipment of the troop group and the individual unit;

[0074] The emergency handling effect evaluation module 730 analyzes the communication link quality of the communication equipment and the reasons for changes in the communication link quality based on the communication signal-to-noise ratio of the communication equipment transmitted by the data collection and processing module 710, and generates a comprehensive evaluation effect. When the communication link quality deteriorates, the emergency handling effect evaluation module analyzes the emergency information and comprehensively analyzes the emergency information of the communication equipment to generate a comprehensive evaluation effect. The emergency information includes the number of emergencies, the start time of the emergencies, the duration of the emergencies, and the severity of the emergencies.

[0075] Voice monitoring module 740: used to determine the communication equipment to transmit voice data;

[0076] Data statistics analysis module 750: used to perform statistical analysis on the usage information of communication equipment and communication network and store the analysis results. The usage information includes service type, network access time, number of communications, communication time and network stability time;

[0077] Business display module 760: used to display comprehensive evaluation results;

[0078] Auxiliary spectrum control module 770: used to statistically analyze usage information and automatically generate frequency usage information for battlefields, designated communication networks, and designated communication equipment;

[0079] Report generation module 780: used to generate an exercise report.

[0080] The information collection device management control module 100 can receive control instructions issued by the management control platform to remotely control and manage the data collection and analysis equipment. The control instructions include terminal wake-up, terminal sleep, terminal status, interference mode, voice collection, communication equipment information collection, communication equipment information type collection, etc.; the terminal status instruction completes the query of the terminal's own information, such as the connection status between the terminal and the communication equipment, the network status of the terminal, the remaining power of the terminal, etc.; the interference mode, voice collection, communication equipment information collection, communication equipment information type collection and other instructions complete the related communication equipment interference injection, communication equipment voice collection and communication equipment information collection functions by calling the interference injection module, the voice information collection and processing module, and the communication equipment information collection module.

[0081] The voice information collection and processing module 200 can collect the voices received and sent by the communication equipment when it is working, store the voices locally, and transmit the collected voices back to the management and control platform in real time via wireless. During voice communication, there will be a lot of blank voices. The blank voices in the collection process can be "deleted" to save local storage space and wireless transmission bandwidth.

[0082] The communication equipment information collection module 300 can collect the location information of the communication equipment, store the collected communication equipment information locally, and transmit it back to the management and control platform in real time via wireless means; it has a time synchronization function, can collect the network number and station number data of the communication equipment, and can mark the collected information with a timestamp.

[0083] The interference injection module 500 can forcibly inject the interference audio data stored in the data acquisition and analysis device into the headphone port of the communication device. The interference injection patterns include but are not limited to tuning interference, so as to simulate the working state of the communication device when encountering interference, so that the trainees can experience the working conditions of the communication device when it is interfered with. The purpose of injecting interference is to enable the user of the communication device to experience the physical characteristics of the communication device and the headphone microphone group after the communication device is interfered with, and simulate the real external interference effect. The real communication interference is radio frequency interference. The interference source is non-specific, the interference method is random, and the interference path is channel interference. The interference source of the simulated injection interference is the collector itself. The interference method is pre-made by software, and the interference path is channel interference. When evaluating the interference effect, both use the same evaluation algorithm.

[0084] The data security module 400 uses the AES128-bit encryption mechanism to encrypt the interactive data between the data collection and analysis equipment and the management and control platform, ensuring the security of related data transmission.

[0085] like Figures 3-4 As shown, the data acquisition and analysis equipment completes initialization according to the acquisition task issued by the management and control platform; at the same time, according to the acquisition task, it performs corresponding work, such as communication equipment information acquisition, voice information acquisition, interference injection, voice quality assessment, etc. The relevant acquisition data is stored locally in the terminal and transmitted to the management and control platform in real time.

[0086] Example 2

[0087] like Figure 5 As shown, the data acquisition and analysis device is compact and ergonomically designed, featuring an integrated backpack design for portability and ease of transportation. The terminal is installed on the communication device via a cable and is powered by a lithium battery. The battery box and data acquisition and analysis device feature a snap-on design for easy replacement and charging, and are equipped with a centralized charging box.

[0088] The voice information collection and processing module 200, the communication equipment information collection module 300, and the interference injection module 500 are based on the ARM Cortex-A8 AM3358 microcontroller platform. This processor is very powerful in image and graphics processing, peripherals, and industrial interface options such as EtherCAT and Profibus. This device supports the following high-level operating systems (OS): This system uses Linux. The AM3358 microcontroller includes the following subsystems:

[0089] 1) Microprocessor unit (MPU) subsystem based on the ARM Cortex-A8 microprocessor;

[0090] 2) SGX graphics accelerator subsystem for 3D graphics acceleration to support display and gaming effects;

[0091] 3) The Programmable Real-Time Unit Subsystem (PRUSS) enables users to create a variety of digital sources in addition to local peripheral devices; in addition, PRUSS is separated from the ARM core, and its independent operation and clock give the device greater flexibility in complex system solutions.

[0092] The functional block diagram of AM3358 microprocessor is as follows Figure 6 shown.

[0093] The acquisition terminal uses the ARM3358-720M module and Linux operating system. The 3358 chip select system supports a two-port 10 / 100 / 1000 Ethernet switch, two Controller Area Network (CAN) ports (one x16 and two x8), six UARTs, two McASPs, two McSPIs, a 12-bit successive approximation register, a general-purpose memory controller, three 32-bit enhanced capture modules, and three enhanced high-resolution PWM modules. The module also includes optional flexible encryption hardware accelerators (AES, SHA, PKA, RNG), perfectly meeting the requirements of this acquisition and jamming injection terminal.

[0094] like Figure 7 As shown, the local oscillator uses a phase-locked loop solution. The PLL chip uses the integrated phase-locked loop chip AF133, which has high integration, low phase noise floor (-215dBc / Hz), and low power consumption. The VCO uses the hybrid integrated voltage-controlled oscillator ROS-119+, which has low power consumption and low phase noise.

[0095] like Figure 8 As shown, the integrated filter product produced by the company is small in size, highly reliable, easy to install and use, and the filter group delay fluctuation is 0.2nS. The technical indicators meet the use requirements.

[0096] like Figure 9 As shown, the transceiver isolation is related to the transceiver control signals of the headphone microphone assembly, which are divided into two paths and connected to the MCU. One path serves as the MCU input to detect the operating status of the communication equipment; the other path generates the communication equipment's transmission control signal, which serves as the enable signal for frequency measurement. To prevent the high current of the communication equipment transmitting signals from damaging the MCU, a 3A relay is used to isolate the transceiver.

[0097] Due to space and structural limitations, electromagnetic compatibility is a key issue. Since the acquisition terminal is installed on the device under test, it is easily interfered by electromagnetic radiation. At the same time, electromagnetic radiation will have a certain impact on the sensitivity of the radio. Measures such as adding a filter circuit to the power supply end of the fixture and using cables with good shielding effect can be used to eliminate electromagnetic interference problems.

[0098] Example 3

[0099] Scenario Background: A certain unit is conducting a field exercise in complex terrain (mountains and jungles) and needs to evaluate the anti-interference capability, coverage, and real-time performance of its communication network.

[0100] Collect data points:

[0101] 1) Basic equipment data:

[0102] Location information: GPS coordinates (longitude, latitude, elevation) of each device and deployment time.

[0103] Operating parameters: transmit power (dBm), frequency range (MHz), modulation mode (QPSK, OFDM), antenna gain (dBi).

[0104] Device status: battery level (%), temperature (°C), firmware version, encryption algorithm type (AES-256).

[0105] 2) Communication link data:

[0106] Real-time channel quality: signal-to-noise ratio (SNR), bit error rate (BER), signal strength (RSSI), and transmission delay (ms).

[0107] Link interruption records: interruption time, interruption cause (electromagnetic interference, physical obstruction), and recovery time.

[0108] 3) Business data:

[0109] Voice communication: call duration, voice clarity score (MOS value, 1-5 points).

[0110] Data transmission: file transfer success rate, average rate (Mbps), packet loss rate (%).

[0111] Environmental data:

[0112] Terrain data: obstacle height, vegetation density (analyzed through satellite maps).

[0113] Electromagnetic interference source: enemy interference frequency band, interference intensity (dBm).

[0114] 4) Emergency data:

[0115] Enemy active interference events: interference type (blocking, targeting), duration, and impact range.

[0116] Equipment failure: failure type (hardware damage, software crash), repair time.

[0117] Data processing process:

[0118] 1) Data cleaning:

[0119] Deduplication and completion: Remove duplicate coordinate records and fill in missing battery power data (interpolation, fitting, and other algorithms).

[0120] Outlier handling:

[0121] When the signal strength (RSSI) exceeds the theoretical range (-120dBm to 0dBm), it is marked as abnormal and replaced with the average value of the previous three minutes.

[0122] When the bit error rate (BER) exceeds a threshold (such as 1e-3), it is determined as a link quality deterioration event.

[0123] 2) Data Integration

[0124] Spatiotemporal alignment: Align device location, environmental data, and communication link data by timestamp to generate a spatiotemporal trajectory dataset.

[0125] Multi-source fusion:

[0126] Satellite map data + device coordinates to generate a three-dimensional terrain occlusion model.

[0127] Electromagnetic interference intensity + device frequency, calculate the actual impact of interference on the channel (interference coverage map).

[0128] 3) Data conversion

[0129] Speech signal processing:

[0130] Perform noise reduction and endpoint detection on voice to extract valid call segments.

[0131] The MOS value (speech quality score) is calculated using the ITU-T P.863 standard algorithm.

[0132] Link performance calculation:

[0133] Packet loss rate = (number of packets sent - number of packets received) / number of packets sent × 100%.

[0134] Transmission delay = receiving timestamp - sending timestamp - clock synchronization error.

[0135] Feature extraction:

[0136] Key Performance Indicators (KPIs):

[0137] Network coverage = (effective communication time / total exercise time) × 100%.

[0138] Anti-interference capability = (number of successful communications during interference / total number of communications) × 100%.

[0139] Real-time performance = average transmission delay (grading: <50ms excellent, 50-200ms good, >200ms poor).

[0140] 4) Evaluation index weight

[0141] Weight distribution principle:

[0142] Dynamically adjust the example weight table based on the exercise objectives, as shown in the following table:

[0143] Evaluation Dimensions Sub-indicators Weight Calculation method Communication quality Voice MOS value 15％ Weighted average —— Data transmission success rate 10％ —— Network coverage Proportion of effective communication area 20％ GIS analysis Anti-interference ability Communication success rate during interference 25％ Threshold determination Real-time Average transmission delay 15％ Grading reliability Equipment failure repair time 10％ Time Statistics Security Encryption algorithm strength 5％ Expert Rating

[0144] Analysis result generation (fully automated process)

[0145] 1) Multidimensional data analysis

[0146] Statistical analysis: Calculate the distribution of each KPI (such as the proportion of MOS values ​​> 3.5), standard deviation, and kurtosis.

[0147] Root cause analysis:

[0148] If the network coverage in a certain area is low, the terrain model is used to identify the cause of the obstruction (such as mountain obstruction).

[0149] If the anti-interference capability is poor, analyze the overlap between the interference source frequency band and the device frequency band.

[0150] 2) Visualization and report generation

[0151] Dynamic dashboard:

[0152] Heat map: shows the relationship between network coverage and terrain.

[0153] Timeline curve: correlation between real-time indicators and interference events.

[0154] Automated reporting:

[0155] Structural template:

[0156] Executive summary (overall score, e.g., 82 / 100).

[0157] Item-by-item evaluation (anti-interference ability score: excellent).

[0158] Problem diagnosis ("The signal in area 3 is attenuated by 8dB due to high vegetation density").

[0159] Optimization suggestion ("It is recommended to add relay equipment in area 3").

[0160] Technical implementation:

[0161] Generate Word reports using Python's template engine.

[0162] Call Matplotlib / Plotly to generate charts and embed them in the document.

[0163] Mathematical model

[0164] 1) Communication quality prediction model

[0165] MOS = 0.7 × SNR + 0.3 × (1-BER) - 0.5 × environmental attenuation coefficient

[0166] Environmental attenuation coefficient: Assign values ​​based on the type of terrain (e.g. jungle = 0.8, rock = 0.5). Network coverage optimization model (integer programming)

[0167] Objective function: maximize coverage

[0168]

[0169] xi: Whether to deploy a relay device at position i (0 or 1).

[0170] wi: coverage gain at location i (calculated by the terrain model).

[0171] 2) Sudden Interference Impact Assessment (Time Series Analysis)

[0172] Use the ARIMA model to predict the impact of interference events on delay: ΔDelayt

[0173] =α×ΔInterferencet-1+β×ΔTerraint

[0174] The above description is only illustrative of the present invention and not restrictive. Those skilled in the art will understand that any modification, change or equivalent that can be made without departing from the spirit and scope defined by the claims will fall within the scope of protection of the present invention.

Claims

1. A data acquisition and analysis device based on a big data algorithm model, characterized by: include: An information collection device management control module (100) is used to receive control instructions issued by a management control platform and to send the control instructions to a voice information collection and processing module (200) and a communication device information collection module (300); A voice information collection and processing module (200) is used to receive the control instruction sent by the information collection device management control module (100), to collect voice information received and sent by the communication device when it is working according to the control instruction and to store it in a local storage module (600), and to process the voice information and transmit it to the information evaluation module and the management control platform; Communication equipment information acquisition module (300): used for receiving the control instruction sent by the information acquisition device management control module (100), for collecting data information of the communication equipment according to the control instruction and storing it in the local storage module (600), and for processing the data information and transmitting it to the information evaluation module and the management control platform; Data security module (400): used for encrypting the voice information and the data information before data transmission; An interference injection module (500) is used for forcibly injecting interference audio data stored in the local storage module (600) into an earphone port of a communication device; A local storage module (600): configured to store the voice information, the data information, and the interference audio data; An information evaluation module (700) is used to receive the voice information transmitted by the voice information collection and processing module (200), and to receive the data information transmitted by the communication device information collection module (300); Used to perform statistical analysis on the voice information and the data information, and generate an evaluation report based on the analysis results.

2. The data acquisition and analysis device based on a big data algorithm model according to claim 1, characterized in that: The information evaluation module (700) comprises: A data collection processing module (710) receives the voice information transmitted by the voice information collection processing module (200) and is used to receive the data information transmitted by the communication device information collection module (300); A real-time communication network analysis module (720) is used to analyze the communication relationship of the communication equipment based on the voice information and the data information, and to collect statistics on the status information and communication information of the communication equipment in the exercise mission; The emergency situation processing effect evaluation module (730) analyzes the communication link quality of the communication equipment and the reasons for the change in the communication link quality based on the communication signal-to-noise ratio of the communication equipment transmitted by the data collection and processing module (710), and generates a comprehensive evaluation effect.

3. The data acquisition and analysis device based on the big data algorithm model according to claim 2, characterized in that: The status information includes the power on / off status, receiving and sending status, receiving and sending duration, usage frequency, and communication signal-to-noise ratio of the communication equipment during heavy exercise tasks; the communication information includes the hot communication time periods of the troop group and the single communication equipment.

4. The data acquisition and analysis device based on a big data algorithm model according to claim 2, characterized in that: When the quality of the communication link decreases, the emergency status processing effect evaluation module analyzes the emergency information and comprehensively analyzes the emergency information of the communication equipment to generate the comprehensive evaluation effect.

5. The data acquisition and analysis device based on the big data algorithm model according to claim 4, characterized in that: The emergency information includes the number of emergency situations, the start time of the emergency situation, the duration of the emergency situation and the severity of the emergency situation.

6. The data acquisition and analysis device based on a big data algorithm model according to claim 2, characterized in that: The information evaluation module (700) further comprises: Voice monitoring module (740): used for determining the voice data transmitted by the communication equipment; Data statistical analysis module (750): used for statistically analyzing usage information of the communication equipment and the communication network and storing the analysis results, wherein the usage information includes service type, network access time, number of communications, communication time and network stability time; Business display module (760): used to display the comprehensive evaluation results; Auxiliary spectrum control module (770): for statistically analyzing the usage information and automatically generating frequency usage information of the battlefield, the designated communication network and the designated communication equipment; Report generation module (780): used to generate an exercise report.

7. The data acquisition and analysis device based on a big data algorithm model according to claim 1, characterized in that: The voice information processing includes deleting blank voice.

8. The data acquisition and analysis device based on a big data algorithm model according to claim 1, characterized in that: The data information includes location information, working status information, working mode information and working parameter information; the location information includes longitude, latitude and elevation; the working status information includes service type, level status, keying status; the working mode information includes fixed frequency, frequency hopping, adaptive and automatic; the working parameter information includes power, machine version, natural health version, voltage, power, time, rate, channel, channel group.

9. The data acquisition and analysis device based on a big data algorithm model according to claim 1, characterized in that: The voice information collection and processing module (200), the communication equipment information collection module (300) and the interference injection module (500) use an AM3358 microcontroller platform based on ARM Cortex-A8, and peripheral industrial interfaces of etherCAT and Profibus.

10. The data acquisition and analysis device based on a big data algorithm model according to claim 9, characterized in that: The AM3358 microcontroller platform includes: a microprocessor unit subsystem based on the ARM Cortex-A8 microprocessor, an SGX graphics accelerator subsystem for 3D graphics acceleration, and a programmable real-time unit subsystem.

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