Automatic detection equipment

Abstract

The present invention provides an automatic detection device, comprising: an L-band integrated cabinet for receiving a first signal sent by an L-band device under test, preprocessing the first signal to obtain a first preprocessed signal; an X-band integrated cabinet for receiving a second signal sent by the X-band device under test, preprocessing the second signal to obtain a second preprocessed signal; a measurement control cabinet connected to the L-band integrated cabinet and the X-band integrated cabinet, respectively, for measuring the first preprocessed signal and the second preprocessed signal to obtain measurement results; and a display console connected to the measurement control cabinet for displaying the measurement results. The automatic detection device of the present invention can detect both L-band and X-band devices, eliminating the need for staff to switch back and forth between dedicated detection equipment corresponding to L-band and X-band devices, thereby improving convenience and enhancing user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic detection, and in particular to an automatic detection device. Background Art

[0002] Currently, when inspecting L-band devices (devices that generate L-band signals) or X-band devices (devices that generate X-band signals), dedicated inspection equipment corresponding to the L-band devices or X-band devices must be used for inspection. Switching back and forth between the two devices is cumbersome for workers. Therefore, there is an urgent need for an automatic inspection device that can inspect both L-band and X-band devices. Summary of the Invention

[0003] One of the purposes of the present invention is to provide an automatic detection device that can detect both L-band devices and X-band devices, eliminating the need for staff to switch back and forth between dedicated detection devices corresponding to L-band devices and X-band devices, thereby improving convenience and enhancing user experience.

[0004] An embodiment of the present invention provides an automatic detection device, comprising:

[0005] An L-band integrated cabinet is configured to receive a first signal sent by an L-band device under test, preprocess the first signal, and obtain a first preprocessed signal;

[0006] An X-band integrated cabinet is configured to receive a second signal sent by the X-band device under test, preprocess the second signal, and obtain a second preprocessed signal;

[0007] a measurement control cabinet, connected to the L-band integrated cabinet and the X-band integrated cabinet, respectively, for measuring the first preprocessed signal and the second preprocessed signal, respectively, to obtain measurement results;

[0008] The display console is connected to the measurement control cabinet and is used to display the measurement results.

[0009] Preferably, the L-band integrated cabinet includes: an L-band signal conditioning network module, a first control interface conversion module, an LDXXX simulator and a first switch connected in sequence.

[0010] Preferably, the X-band integrated cabinet comprises: an X-band signal conditioning network module, a second control interface conversion module, an HMBXXX simulator and a second switch connected in sequence.

[0011] Preferably, the measurement control cabinet includes: an instrument group and a main control computer connected in sequence.

[0012] Preferably, the instrument group includes: a modulation domain analyzer, a spectrum analyzer, an oscilloscope, a signal analyzer, a vector signal source, a peak power meter, and a frequency meter connected in sequence.

[0013] Preferably, the L-band signal conditioning network module comprises: a first radio frequency switch matrix, a first attenuator group and a first detector connected in sequence;

[0014] A first power divider, a first control mainboard and a first communication interface unit connected in sequence;

[0015] A first power supply unit is connected to the first control mainboard;

[0016] The first control mainboard is connected to the first radio frequency switch matrix and the first attenuator group respectively.

[0017] Preferably, the X-band signal conditioning network module comprises: a second RF switch matrix, a second attenuator group, and a second detector connected in sequence;

[0018] A second power splitter, a second control mainboard and a second communication interface unit connected in sequence;

[0019] A second power supply unit is connected to the second control mainboard;

[0020] The second control mainboard is connected to the second radio frequency switch matrix and the second attenuator group respectively.

[0021] Preferably, the first attenuator group includes: a first high-power fixed attenuator and a first high-precision programmable attenuator connected in sequence;

[0022] The second attenuator group includes: a second high-power fixed attenuator and a second high-precision programmable attenuator connected in sequence.

[0023] Preferably, the display operation console includes: a first operation console, a second operation console, a first display operation terminal and a second display operation terminal;

[0024] A plurality of docking slots are provided on one side of the first operating table;

[0025] A plurality of docking posts corresponding to the docking slots are provided on one side of the second operating table;

[0026] A first open cavity is provided on the first table surface of the first operating table;

[0027] A second open cavity is provided on the second table top of the second operating table;

[0028] The first housing of the first display operation terminal is disposed in the first opening cavity;

[0029] The second housing of the second display operation terminal is disposed in the second opening cavity;

[0030] A first lifting mechanism is provided at the bottom of the first shell, one end of the first lifting mechanism is fixedly connected to the bottom of the first shell, and the other end is fixedly connected to the bottom surface of the first open cavity;

[0031] A second lifting mechanism is provided at the bottom of the second shell, one end of the second lifting mechanism is fixedly connected to the bottom of the second shell, and the other end is fixedly connected to the bottom surface of the second open cavity;

[0032] A first opening position of the first opening cavity is provided with a first opening and closing door;

[0033] A second opening door is provided at the second opening position of the second opening cavity.

[0034] Preferably, the automatic detection equipment further comprises:

[0035] A monitoring module is used to monitor the operating status of the L-band integrated cabinet, the X-band integrated cabinet, and the measurement and control cabinet;

[0036] The monitoring module performs the following operations:

[0037] Get the preset monitoring task list;

[0038] Preprocess the monitoring task list to obtain the target monitoring task list;

[0039] Execute each target monitoring task in the target monitoring task list in the preset order;

[0040] When executing any target monitoring task in the target monitoring task list, the corresponding target monitoring task is selected as the current monitoring task;

[0041] Select any one of the L-band integrated cabinet, X-band integrated cabinet and measurement control cabinet as the monitoring target;

[0042] Determine at least one target monitoring position corresponding to the current monitoring task among the monitoring targets, and combine them into a target monitoring position set;

[0043] Determine at least one target monitoring unit corresponding to each target monitoring position in the target monitoring position set, and combine them into a target monitoring unit set;

[0044] Obtain target monitoring data of each target monitoring unit in the target monitoring unit set;

[0045] Get the preset sampling model;

[0046] The sampling model samples each target monitoring data with different preset data sampling accuracy. After each sampling, the target sampling data output by the sampling model is obtained;

[0047] Obtain a preset evaluation model;

[0048] The judgment model is used to judge the abnormality of the target sampling data multiple times, and after each judgment, the judgment value output by the judgment model is obtained;

[0049] The evaluation index is calculated based on the evaluation value. The calculation formula is as follows:

[0050]

[0051] Among them, γ is the evaluation index, μ i is the preset weight corresponding to the i-th preset data sampling accuracy, e is a natural constant, α i,j,z The total number of evaluation values output by the evaluation model after the target sampling data is sampled by the sampling model with the i-th preset data sampling accuracy and the evaluation values output by the evaluation model after the t-th evaluation are less than or equal to the preset evaluation value threshold, β i,j,z is the total number of evaluation values output by the evaluation model after the sampling model samples the jth target monitoring data with the i-th preset data sampling accuracy, m is the total number of preset data sampling accuracy, n is the total number of target monitoring data, and z is the total number of evaluation values output by the evaluation model after the evaluation model performs the t-th evaluation. i,j The total number of times the target sampling data output by the sampling model after sampling the j-th target monitoring data with the i-th preset data sampling accuracy is judged by the judgment model;

[0052] When the evaluation index is less than or equal to the preset evaluation index threshold, the preset warning information corresponding to the current monitoring task is obtained, and at the same time, the preset warning information is sent to the display console.

[0053] Preferably, the monitoring module pre-processes the monitoring task list, and the specific execution includes the following operations:

[0054] Select any monitoring task in the monitoring task list as the processing target;

[0055] Get the preset acquisition node list;

[0056] Obtain target data associated with the processing target through each acquisition node in the acquisition node list;

[0057] Get the preset sensitive model;

[0058] The sensitivity model is used to sense the sensitivity of each target data multiple times. After each perception, the sensitivity value output by the sensitive model is obtained;

[0059] Get the value and guarantee value of each acquisition node in the acquisition node list;

[0060] The evaluation index of the processing target is calculated based on the sensitivity value, value and guarantee value. The calculation formula is as follows:

[0061]

[0062] Among them, est is the evaluation index, σ d To obtain the preset weight value corresponding to the dth node in the node list, v d To obtain the value of the dth node in the node list, x d To obtain the guarantee value of the dth node in the node list, s d,w is the sensitive value output by the sensitive model after the sensitive model performs the wth perception on the target data obtained from the dth acquisition node in the acquisition node list, ρ is the total number of acquisition nodes in the acquisition node list, Q d is the total number of times the target data obtained from the dth acquisition node in the acquisition node list is perceived by the sensitive model, and r1, r2 and r3 are preset weight values;

[0063] Sort the detection tasks in the monitoring task list from large to small according to the corresponding evaluation index to obtain the target monitoring task list.

[0064] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0067] Figure 1 This is a schematic structural diagram of an automatic detection device according to an embodiment of the present invention;

[0068] Figure 2 This is a schematic structural diagram of an L-band integrated cabinet in an embodiment of the present invention;

[0069] Figure 3 This is a schematic structural diagram of an X-band integrated cabinet in an embodiment of the present invention;

[0070] Figure 4 A schematic diagram of the structure of a measurement control cabinet in an embodiment of the present invention;

[0071] Figure 5 Schematic diagram of the structure of the instrument group in the embodiment of the present invention;

[0072] Figure 6 This is a schematic diagram of the structure of an L-band signal conditioning network module in an embodiment of the present invention;

[0073] Figure 7 This is a schematic diagram of the structure of an X-band signal conditioning network module in an embodiment of the present invention;

[0074] Figure 8 Schematic diagram of the structure of the display console in an embodiment of the present invention.

[0075] Figure 9 The figure is a schematic diagram of a specific application structure layout of an automatic detection device in an embodiment of the present invention. DETAILED DESCRIPTION

[0076] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0077] The embodiment of the present invention provides an automatic detection device, such as Figure 1 Shown, including:

[0078] An L-band integrated cabinet 1 is configured to receive a first signal sent by an L-band device under test, preprocess the first signal, and obtain a first preprocessed signal;

[0079] An X-band integrated cabinet 2 is configured to receive a second signal sent by the X-band device under test, preprocess the second signal, and obtain a second preprocessed signal;

[0080] The measurement control cabinet 3 is connected to the L-band integrated cabinet 1 and the X-band integrated cabinet 2, respectively, and is used to measure the first preprocessed signal and the second preprocessed signal respectively to obtain measurement results;

[0081] The display console 4 is connected to the measurement control cabinet 3 and is used to display the measurement results.

[0082] The working principle and beneficial effects of the above technical solution are:

[0083] The band integrated cabinet 1 is connected to the L-band device under test, and the L-band device under test sends a first signal (test signal) to the L-band integrated cabinet 1. The L-band integrated cabinet 1 preprocesses (signal conditions) the first signal to obtain a first preprocessed signal; the X-band integrated cabinet 2 is connected to the X-band device under test, and the X-band device under test sends a second signal (test signal) to the X-band integrated cabinet 2. The X-band integrated cabinet 2 preprocesses (signal conditions) the second signal to obtain a second preprocessed signal; the L-band integrated cabinet 1 sends the first preprocessed signal to the measurement control cabinet 3, and the X-band integrated cabinet 2 sends the second preprocessed signal to the measurement control cabinet 3; the measurement control cabinet 3 measures the first preprocessed signal and the second preprocessed signal respectively to obtain measurement results; and the display console 4 displays the measurement results to the user.

[0084] The embodiments of the present invention can detect both L-band devices and X-band devices, eliminating the need for staff to switch back and forth between dedicated detection devices corresponding to L-band devices and X-band devices, thereby improving convenience and user experience.

[0085] The embodiment of the present invention provides an automatic detection device, such as Figure 2 As shown, the L-band integrated cabinet 1 includes: an L-band signal conditioning network module 11, a first control interface conversion module 12, an LDXXX simulator 13 and a first switch 14 connected in sequence.

[0086] The working principle and beneficial effects of the above technical solution are:

[0087] The L-band signal conditioning network module 11 can be a signal conditioning circuit, used to perform signal conditioning on the above-mentioned first signal; the first control interface conversion module 12 can be a control interface conversion device, used to convert the control interfaces of different instruments and equipment into a unified LAN control interface; the LDXXX simulator 13 is specifically a signal simulator, used to simulate corresponding signals according to actual usage requirements; the first switch 14 is used to exchange signal transmission between other cabinets or display consoles 4 and the L-band integrated cabinet 1.

[0088] The embodiments of the present invention improve the rationality of system settings.

[0089] The embodiment of the present invention provides an automatic detection device, such as Figure 3 As shown, the X-band integrated cabinet 2 includes: an X-band signal conditioning network module 21, a second control interface conversion module 22, an HMBXXX simulator 23 and a second switch 24 connected in sequence.

[0090] The working principle and beneficial effects of the above technical solution are:

[0091] The X-band signal conditioning network module 21 can be a signal conditioning circuit for performing signal conditioning on the above-mentioned second signal; the second control interface conversion module 22 can be a control interface conversion device for converting the control interfaces of different instruments and equipment into a unified LAN control interface; the HMBXXX simulator 23 is specifically a signal simulator for simulating corresponding signals according to actual usage requirements; the second switch 24 is used to exchange signal transmission between other cabinets or display consoles 4 and the X-band integrated cabinet 2.

[0092] The embodiments of the present invention improve the rationality of system settings.

[0093] The embodiment of the present invention provides an automatic detection device, such as Figure 4 and Figure 5 As shown, the measurement control cabinet 3 includes: an instrument group 31 and a main control computer 32 connected in sequence.

[0094] The working principle and beneficial effects of the above technical solution are:

[0095] The measurement control cabinet 3 includes an instrument group 31 and a main control computer 32; the instrument group 31 may be composed of a plurality of signal measuring instruments.

[0096] The instrument group 31 includes: a modulation domain analyzer 311, a spectrum analyzer 312, an oscilloscope 313, a signal analyzer 314, a vector signal source 315, a peak power meter 316, and a frequency meter 317, which are connected in sequence.

[0097] The working principle and beneficial effects of the above technical solution are:

[0098] The instrument set 31 includes a modulation domain analyzer 311 , a spectrum analyzer 312 , an oscilloscope 313 , a signal analyzer 314 , a vector signal source 315 , a peak power meter 316 , and a frequency meter 317 .

[0099] In the embodiment of the present invention, the instrument group 31 is used to measure the first preprocessed signal and the second preprocessed signal. The instrument group 31 includes multiple signal measuring instruments, which can meet the different measurement requirements of different users and improve the user experience.

[0100] The embodiment of the present invention provides an automatic detection device, such as Figure 6 As shown, the L-band signal conditioning network module 11 includes: a first RF switch matrix 111, a first attenuator group 112 and a first detector 113 connected in sequence;

[0101] A first power divider 114, a first control mainboard 115 and a first communication interface unit 116 connected in sequence;

[0102] A first power supply unit 117 connected to the first control mainboard 115;

[0103] The first control mainboard 115 is connected to the first RF switch matrix 111 and the first attenuator group 112 respectively.

[0104] The working principle and beneficial effects of the above technical solution are:

[0105] The first RF switch matrix 111 is used to control the opening and closing of the circuit; the first attenuator is used to attenuate the signal. Since the input end of most signal measuring instruments cannot withstand the high-power signal of the device under test, the high-power RF signal emitted by the device under test needs to be attenuated to a suitable range before being output to various professional signal measuring instruments; the first power divider 114 is used to complete the power distribution of the circuit; the first control motherboard 115 controls the various components in the circuit; the first power supply unit 117 is used to provide power supply; the first detector 113 is used to restore the signal peak envelope. The RF signals emitted by the device under test are all modulated signals, most of which are pulse modulated. If the baseband or envelope of the transmitted RF signal needs to be tested, a detector is required. After passing through the detector, the signal can be restored to the envelope signal of the signal amplitude (without carrier). Then, the signal envelope signal can be measured using a test instrument such as an oscilloscope 313 to obtain the pulse characteristics of the RF signal, such as pulse width, rise time, fall time, pulse interval, etc.

[0106] The L-band signal conditioning network module 11 of the embodiment of the present invention can perform multiple processing on the first signal to meet the requirements of the next level of signal measurement, thereby improving the rationality of system settings.

[0107] The embodiment of the present invention provides an automatic detection device, such as Figure 7 As shown, the X-band signal conditioning network module 21 includes: a second RF switch matrix 211, a second attenuator group 212 and a second detector 213 connected in sequence;

[0108] A second power splitter 214, a second control mainboard 215 and a second communication interface unit 216 connected in sequence;

[0109] A second power supply unit 217 connected to the second control mainboard 215;

[0110] The second control mainboard 215 is connected to the second RF switch matrix 211 and the second attenuator group 212 respectively.

[0111] The working principle and beneficial effects of the above technical solution are:

[0112] The working principle and beneficial effects of the above technical solution are:

[0113] The second RF switch matrix 211 is used to control the opening and closing of the circuit; the second attenuator is used to attenuate the signal. Since the input end of most signal measuring instruments cannot withstand the high-power signal of the device under test, the high-power RF signal emitted by the device under test needs to be attenuated to a suitable range before being output to various professional signal measuring instruments; the second power divider 214 is used to complete the power distribution of the circuit; the second control motherboard 215 controls the various components on the circuit; the second power supply unit 217 is used to provide power supply; the second detector 213 is used to restore the signal peak envelope. The RF signals emitted by the device under test are all modulated signals, most of which are pulse modulated. If the baseband or envelope of the transmitted RF signal needs to be tested, a detector is required. After passing through the detector, the signal can be restored to the envelope signal of the signal amplitude (without carrier). Then, the signal envelope signal can be measured using a test instrument such as an oscilloscope 313 to obtain the pulse characteristics of the RF signal, such as pulse width, rise time, fall time, pulse interval, etc.

[0114] The X-band signal conditioning network module 21 of the embodiment of the present invention can perform multiple processing on the second signal to meet the requirements of the next level of signal measurement, thereby improving the rationality of system settings.

[0115] The embodiment of the present invention provides an automatic detection device, wherein the first attenuator group 112 includes: a first high-power fixed attenuator and a first high-precision programmable attenuator connected in sequence;

[0116] The second attenuator group 212 includes a second high-power fixed attenuator and a second high-precision programmable attenuator connected in sequence.

[0117] The working principle and beneficial effects of the above technical solution are:

[0118] The high-power fixed attenuator attenuates the high-power signal of the device under test to a low-power signal, and then the attenuation is precisely controlled by the high-precision programmable attenuator.

[0119] The embodiment of the present invention can meet the test requirements of different test items required by users.

[0120] The embodiment of the present invention provides an automatic detection device, such as Figure 8 As shown, the display operation console includes: a first operation console 5, a second operation console 6, a first display operation terminal and a second display operation terminal;

[0121] A plurality of docking slots 51 are provided on one side of the first operating table 5;

[0122] A plurality of docking posts 61 corresponding to the docking slots 51 are provided on one side of the second operating table 6;

[0123] A first open cavity is provided on the first surface of the first operating table 5;

[0124] A second open cavity is provided on the second surface of the second operating table 6;

[0125] The first housing 52 of the first display operation terminal is disposed in the first opening cavity;

[0126] The second housing 62 of the second display operation terminal is disposed in the second opening cavity;

[0127] A first lifting mechanism 53 is provided at the bottom of the first housing 52. One end of the first lifting mechanism 53 is fixedly connected to the bottom of the first housing 52, and the other end is fixedly connected to the bottom surface of the first opening cavity.

[0128] A second lifting mechanism 63 is provided at the bottom of the second housing 62. One end of the second lifting mechanism 63 is fixedly connected to the bottom of the second housing 62, and the other end is fixedly connected to the bottom surface of the second opening cavity.

[0129] A first opening position of the first opening cavity is provided with a first opening and closing door 54;

[0130] A second opening door 64 is provided at the second opening position of the second opening cavity.

[0131] The working principle and beneficial effects of the above technical solution are:

[0132] The display operation console is composed of a first operation console 5 and a second operation console 6; the first display operation terminal and the second display operation terminal can be touch-screen computers, one for viewing the monitoring results in real time and in full screen, and the other for inputting operation instructions or collating data, etc.; setting up two display operation terminals improves the convenience for users; the docking slot 51 and the docking stop make it convenient for users to put the two operation consoles together for fixation; when the user wants to use any display operation terminal, he only needs to open the corresponding opening and closing door, and cooperate with the lifting mechanism (which can be a lifting and telescopic push rod) to lift the display operation terminal out of the opening cavity. When not in use, the display operation terminal will be retracted into the opening cavity with the lifting mechanism, and the opening and closing door can be closed, which has a good dust-proof effect.

[0133] An embodiment of the present invention provides an automatic detection device, further comprising:

[0134] A monitoring module is used to monitor the operating status of the L-band integrated cabinet 1, the X-band integrated cabinet 2 and the measurement and control cabinet 3;

[0135] The monitoring module performs the following operations:

[0136] Get the preset monitoring task list;

[0137] Preprocess the monitoring task list to obtain the target monitoring task list;

[0138] Execute each target monitoring task in the target monitoring task list in the preset order;

[0139] When executing any target monitoring task in the target monitoring task list, the corresponding target monitoring task is selected as the current monitoring task;

[0140] Select any one of the L-band integrated cabinet 1, the X-band integrated cabinet 2, and the measurement and control cabinet 3 as the monitoring target;

[0141] Determine at least one target monitoring position corresponding to the current monitoring task among the monitoring targets, and combine them into a target monitoring position set;

[0142] Determine at least one target monitoring unit corresponding to each target monitoring position in the target monitoring position set, and combine them into a target monitoring unit set;

[0143] Obtain target monitoring data of each target monitoring unit in the target monitoring unit set;

[0144] Get the preset sampling model;

[0145] The sampling model samples each target monitoring data with different preset data sampling accuracy. After each sampling, the target sampling data output by the sampling model is obtained;

[0146] Obtain a preset evaluation model;

[0147] The judgment model is used to judge the abnormality of the target sampling data multiple times, and after each judgment, the judgment value output by the judgment model is obtained;

[0148] The evaluation index is calculated based on the evaluation value. The calculation formula is as follows:

[0149]

[0150] Among them, γ is the evaluation index, μ i is the preset weight corresponding to the i-th preset data sampling accuracy, e is a natural constant, α i,j,z The total number of evaluation values output by the evaluation model after the target sampling data is sampled by the sampling model with the i-th preset data sampling accuracy and the evaluation values output by the evaluation model after the t-th evaluation are less than or equal to the preset evaluation value threshold, β i,j,z is the total number of evaluation values output by the evaluation model after the sampling model samples the jth target monitoring data with the i-th preset data sampling accuracy, m is the total number of preset data sampling accuracy, n is the total number of target monitoring data, and z is the total number of evaluation values output by the evaluation model after the evaluation model performs the t-th evaluation. i,jThe total number of times the target sampling data output by the sampling model after sampling the j-th target monitoring data with the i-th preset data sampling accuracy is judged by the judgment model;

[0151] When the evaluation index is less than or equal to the preset evaluation index threshold, the preset warning information corresponding to the current monitoring task is obtained, and at the same time, the preset warning information is sent to the display console 4.

[0152] The working principle and beneficial effects of the above technical solution are:

[0153] The preset monitoring task list is specifically: a list composed of multiple monitoring tasks, such as: cabinet core position status detection and cabinet non-core position status detection, etc.; determine the target monitoring position, for example: when executing the cabinet core position status detection task, the power supply position of each cabinet is used as the target monitoring position; determine the target monitoring unit, for example: a humidity sensor for monitoring the humidity in the placement box where the power supply is placed, a signal sensor for monitoring whether the power supply radiator is working normally, and a temperature sensor for monitoring the temperature of the power supply body, etc.; obtain target monitoring data, for example: obtain historical humidity data monitored by the humidity sensor and obtain historical temperature data monitored by the temperature sensor, etc.; the preset sampling model is specifically: a model generated by learning a large number of manual sampling records using a machine learning algorithm; the preset data collection accuracy is specifically: different data collection accuracies result in different collected data, for example: the higher the data collection accuracy, the more data collected, and the time The larger the span; many instruments in the cabinet will not only fail suddenly, but also often have indirect failures (sometimes normal and sometimes faulty). There is a certain correlation in the data. For example, the power of the power supply radiator fan drops significantly every 20 seconds. Therefore, it is necessary to sample data with different preset data sampling accuracies to avoid missing some previous correlated data; the preset evaluation model is specifically: a model generated by learning a large amount of target sampling data and corresponding manual evaluation records using a machine learning algorithm. The evaluation model will output an evaluation value after each evaluation. The higher the evaluation value, the lower the abnormality of the target data; the evaluation index is calculated based on each evaluation value. When the evaluation index is lower than the preset evaluation index threshold (for example: 95), it means that the instrument corresponding to the current monitoring task has a fault, and the corresponding preset warning information is displayed (for example: power supply fan failure, fault code XXX); the preset evaluation value threshold is specifically: for example, 98.

[0154] The embodiment of the present invention can independently determine the current monitoring task, obtain target monitoring data, and intelligently use the sampling model to sample the target monitoring data with different preset data sampling accuracies, which can avoid the omission of some previous relevant historical monitoring data and has strong applicability. The sampled target is judged by the data through the judgment model, and the judgment value is output. The judgment index is calculated based on each judgment value to quickly judge whether the module corresponding to the current monitoring task has an abnormality, thereby improving the work efficiency of the system. If an abnormality occurs, the user will be reminded accordingly, and there is no need for manual monitoring, which improves convenience and reduces labor costs.

[0155] An embodiment of the present invention provides an automatic detection device, wherein a monitoring module pre-processes a monitoring task list, specifically performing the following operations:

[0156] Select any monitoring task in the monitoring task list as the processing target;

[0157] Get the preset acquisition node list;

[0158] Obtain target data associated with the processing target through each acquisition node in the acquisition node list;

[0159] Get the preset sensitive model;

[0160] The sensitivity model is used to sense the sensitivity of each target data multiple times. After each perception, the sensitivity value output by the sensitive model is obtained;

[0161] Get the value and guarantee value of each acquisition node in the acquisition node list;

[0162] The evaluation index of the processing target is calculated based on the sensitivity value, value and guarantee value. The calculation formula is as follows:

[0163]

[0164] Among them, est is the evaluation index, σ d To obtain the preset weight value corresponding to the dth node in the node list, v d To obtain the value of the dth node in the node list, x d To obtain the guarantee value of the dth node in the node list, s d,w is the sensitive value output by the sensitive model after the sensitive model performs the wth perception on the target data obtained from the dth acquisition node in the acquisition node list, ρ is the total number of acquisition nodes in the acquisition node list, Q d is the total number of times the target data obtained from the dth acquisition node in the acquisition node list is perceived by the sensitive model, and r1, r2 and r3 are preset weight values;

[0165] Sort the detection tasks in the monitoring task list from large to small according to the corresponding evaluation index to obtain the target monitoring task list.

[0166] The working principle and beneficial effects of the above technical solution are:

[0167] The preset acquisition node list specifically includes: multiple nodes, for example; a node that can be used to obtain the fault and maintenance record data of each instrument in its own cabinet and a node that can be used to obtain the fault and maintenance record data of each instrument in the cabinet when the same model cabinet is used by other users; the preset sensitivity model specifically includes: a model generated by using a machine learning algorithm to learn a large amount of target data and manually judged sensitivity records. The sensitivity model can perceive the sensitivity of the target data and output a sensitivity value. The larger the sensitivity value, the higher the possibility of discovering the corresponding fault when executing the monitoring task corresponding to the processing target (for example, if there are more power module problems in the target data, the higher the sensitivity value corresponding to the power module monitoring task); the value represents the reference value of the acquisition node, for example, the value of the fault and maintenance record data of the own cabinet is higher than the value of the fault and maintenance record data of other user cabinets; the guarantee value represents the credibility of the acquisition node, for example, the guarantee value of the fault and maintenance record data provided by the manufacturer-certified user is larger; the evaluation index of the processing target is calculated based on the sensitivity, value system and guarantee value. The larger the evaluation index, the higher the possibility of discovering the corresponding fault when executing the monitoring task corresponding to the processing target, and it should be ranked higher.

[0168] The embodiment of the present invention intelligently perceives the acquired target data associated with the processing target through a sensitive model, comprehensively calculates the evaluation index of the processing target based on the sensitive value output by the sensitive model and the value and guarantee value of each acquisition node, and reasonably and quickly sorts the monitoring tasks in the monitoring task list based on the evaluation index, placing the monitoring tasks that are more prone to failure at the front, thereby improving the work efficiency of the system and being very intelligent.

[0169] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. An automatic detection device, characterized in that: include: An L-band integrated cabinet, configured to receive a first signal sent by an L-band device under test, and preprocess the first signal to obtain a first preprocessed signal; An X-band integrated cabinet is configured to receive a second signal sent by the X-band device under test, and preprocess the second signal to obtain a second preprocessed signal; a measurement control cabinet, connected to the L-band integrated cabinet and the X-band integrated cabinet, respectively, for measuring the first preprocessed signal and the second preprocessed signal, respectively, to obtain measurement results; A display console, connected to the measurement control cabinet, for displaying the measurement results; A monitoring module, configured to monitor the operating status of the L-band integrated cabinet, the X-band integrated cabinet, and the measurement and control cabinet; The monitoring module performs the following operations: Get the preset monitoring task list; Preprocessing the monitoring task list to obtain a target monitoring task list; Execute each target monitoring task in the target monitoring task list in a preset order; When executing any target monitoring task in the target monitoring task list, selecting the corresponding target monitoring task as the current monitoring task; Selecting any one of the L-band integrated cabinet, the X-band integrated cabinet, and the measurement and control cabinet as a monitoring target; Determine at least one target monitoring position corresponding to the current monitoring task among the monitoring targets, and combine them into a target monitoring position set; Determine at least one target monitoring unit corresponding to each target monitoring position in the target monitoring position set, and combine them into a target monitoring unit set; Acquire target monitoring data of each target monitoring unit in the target monitoring unit set; Get the preset sampling model; The sampling model samples each target monitoring data with different preset data sampling precisions, and after each sampling, obtains the target sampling data output by the sampling model; Obtain a preset evaluation model; The evaluation model is used to evaluate the abnormality of the target sampling data multiple times, and after each evaluation, an evaluation value output by the evaluation model is obtained; The evaluation index is calculated based on the evaluation value, and the calculation formula is as follows: in, is the evaluation index, For the The preset weight corresponding to the preset data sampling accuracy, is a natural constant, The sampling model is The preset data sampling accuracy is The target sampling data output after sampling the target monitoring data is firstly processed by the evaluation model. The total number of the evaluation values output by the evaluation model after the evaluation that are less than or equal to the preset evaluation value threshold, The sampling model is The preset data sampling accuracy is The target sampling data output after sampling the target monitoring data is firstly processed by the evaluation model. The total number of evaluation values output by the evaluation model after evaluations, is the total number of the preset data sampling precisions, is the total number of target monitoring data, The sampling model is The preset data sampling accuracy is The total number of times the target sampling data output after sampling the target monitoring data is judged by the judgment model; When the evaluation index is less than or equal to a preset evaluation index threshold, preset warning information corresponding to the current monitoring task is obtained, and at the same time, the preset warning information is sent to the display console.

2. An automatic detection device according to claim 1, characterized in that: The L-band integrated cabinet comprises: an L-band signal conditioning network module, a first control interface conversion module, an LDXXX simulator and a first switch connected in sequence.

3. An automatic detection device according to claim 2, characterized in that: The X-band integrated cabinet comprises: an X-band signal conditioning network module, a second control interface conversion module, an HMBXXX simulator and a second switch connected in sequence.

4. An automatic detection device according to claim 1, characterized in that: The measurement control cabinet includes: an instrument group and a main control computer connected in sequence; The instrument group includes: a modulation domain analyzer, a spectrum analyzer, an oscilloscope, a signal analyzer, a vector signal source, a peak power meter, and a frequency meter which are connected in sequence.

5. An automatic detection device according to claim 3, characterized in that: The L-band signal conditioning network module includes: a first radio frequency switch matrix, a first attenuator group and a first detector connected in sequence; A first power divider, a first control mainboard and a first communication interface unit connected in sequence; A first power supply unit is connected to the first control mainboard; The first control mainboard is connected to the first radio frequency switch matrix and the first attenuator group respectively.

6. An automatic detection device according to claim 5, characterized in that: The X-band signal conditioning network module includes: a second radio frequency switch matrix, a second attenuator group, and a second detector connected in sequence; A second power splitter, a second control mainboard and a second communication interface unit connected in sequence; A second power supply unit is connected to the second control mainboard; The second control mainboard is connected to the second RF switch matrix and the second attenuator group respectively.

7. An automatic detection device according to claim 6, characterized in that: The first attenuator group includes: a first high-power fixed attenuator and a first high-precision programmable attenuator connected in sequence; The second attenuator group includes: a second high-power fixed attenuator and a second high-precision programmable attenuator connected in sequence.

8. The automatic detection device according to claim 1, characterized in that: The display operation console includes: a first operation console, a second operation console, a first display operation terminal and a second display operation terminal; A plurality of docking slots are provided on one side of the first operating table; A plurality of docking posts corresponding to the docking slots are provided on one side of the second operating table; A first open cavity is provided on the first surface of the first operating table; A second open cavity is provided on the second table surface of the second operating table; The first housing of the first display operation terminal is disposed in the first opening cavity; The second housing of the second display operation terminal is disposed in the second opening cavity; A first lifting mechanism is provided at the bottom of the first shell, one end of the first lifting mechanism is fixedly connected to the bottom of the first shell, and the other end is fixedly connected to the bottom surface of the first open cavity; A second lifting mechanism is provided at the bottom of the second shell, one end of the second lifting mechanism is fixedly connected to the bottom of the second shell, and the other end is fixedly connected to the bottom surface of the second open cavity; A first opening position of the first opening cavity is provided with a first opening and closing door; A second opening door is provided at the second opening position of the second opening cavity.

9. The automatic detection device according to claim 1, characterized in that: The monitoring module pre-processes the monitoring task list, and specifically performs the following operations: Select any monitoring task in the monitoring task list as a processing target; Get the preset acquisition node list; Acquire target data associated with the processing target through each acquisition node in the acquisition node list; Get the preset sensitive model; The sensitivity model is used to sense the sensitivity of each target data multiple times, and after each sensing, a sensitivity value output by the sensitivity model is obtained; Obtaining the value and guarantee value of each acquisition node in the acquisition node list; The evaluation index of the processing target is calculated based on the sensitivity value, value and guarantee value, and the calculation formula is as follows: in, is the evaluation index, Get the node list The preset weight value corresponding to each of the acquisition nodes, Get the node list The value of each of the acquired nodes, Get the node list the guarantee value of each of the acquisition nodes, To obtain the node from the list The target data obtained by the acquisition node is processed by the sensitive model The sensitivity value output by the sensitivity model after the first perception, is the total number of the acquisition nodes in the acquisition node list, To obtain the node from the list The total number of times the target data acquired by the acquisition nodes is perceived by the sensitive model, 、 and is the preset weight value; The monitoring tasks in the monitoring task list are sorted from large to small according to the corresponding evaluation index to obtain the target monitoring task list.

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