CN116980057B - Intelligent detection management method, system and storage medium for interphone system - Google Patents
Intelligent detection management method, system and storage medium for interphone system Download PDFInfo
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- CN116980057B CN116980057B CN202311222310.3A CN202311222310A CN116980057B CN 116980057 B CN116980057 B CN 116980057B CN 202311222310 A CN202311222310 A CN 202311222310A CN 116980057 B CN116980057 B CN 116980057B
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- 238000007726 management method Methods 0.000 title claims abstract description 29
- 230000007547 defect Effects 0.000 claims abstract description 58
- 230000005236 sound signal Effects 0.000 claims abstract description 28
- 238000012549 training Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 8
- 230000035945 sensitivity Effects 0.000 claims description 49
- 238000012360 testing method Methods 0.000 claims description 19
- 238000010206 sensitivity analysis Methods 0.000 claims description 13
- 238000005259 measurement Methods 0.000 claims description 10
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/10—Monitoring; Testing of transmitters
- H04B17/15—Performance testing
- H04B17/17—Detection of non-compliance or faulty performance, e.g. response deviations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
- H04B17/29—Performance testing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses an intelligent detection management method, system and storage medium for an interphone system, which relate to the technical field of communication and comprise the following steps: at least one interphone host and at least one interphone sub-machine are connected to the dispatching desk, and at least one interphone is connected to the dispatching desk; the dispatching desk selects and controls an interphone host or an interphone sub-machine as a signal transmitter, and the signal transmitter transmits an audio signal source; monitoring the performances of an interphone host and an interphone sub-machine through a detection port; monitoring the performance of the sample interphone through a detection port; training a reaction recognition model according to the detection data of the sample interphone; and judging whether the interphone host and the interphone sub-machine have defects according to analysis processing of detection data of the interphone host and the interphone sub-machine and comparison of the reaction recognition models. The defects existing in the interphone system are repaired in time by arranging the scheduling module, the detection port module, the sample training module and the defect judging module.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an intelligent detection management method, an intelligent detection management system and a storage medium for an interphone system.
Background
The analog interphone generally adopts a frequency modulation mode, the coverage area of the interphone is directly related to the wireless signal transmitting power and the wireless signal receiving sensitivity of the whole interphone, the larger the transmitting power is, the wider the coverage area is, and the higher the receiving sensitivity is, the wider the coverage area is. The interphone system adopts a plurality of interphone hosts and interphone sub-machines to carry out intercom connection. The complexity of the whole system is high, the requirements on the performances of an interphone host and an interphone sub-machine are high, and the operation of the whole system can be influenced due to the defect of a single interphone.
In the prior art, the defect feedback capability of an interphone system is not strong, defects in the interphone system cannot be found out quickly, timely identification and repair are performed, meanwhile, comparison is absent as a reference, and the detection accuracy is to be improved.
Disclosure of Invention
In order to solve the technical problems, the technical scheme provides an intelligent detection management method, an intelligent detection management system and an intelligent detection management storage medium for an interphone system, and solves the problems that in the prior art, the feedback capability for defects in the interphone system is not strong, the defects in the interphone system cannot be quickly found out, timely identification and repair are carried out, and meanwhile, comparison is lacking as a reference, and the detection accuracy is to be improved.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an intelligent detection management method for an interphone system comprises the following steps:
at least one interphone host and at least one interphone sub-machine are connected to the dispatching desk, at least one sample interphone is connected to the dispatching desk, the dispatching desk obtains the addresses of the interphone host and the interphone sub-machine, and the dispatching desk obtains the sample interphone addresses;
the dispatching desk selects and controls an interphone host or an interphone sub-machine as a signal transmitter, and the signal transmitter transmits an audio signal source;
the dispatching desk forms an important index detection scheme according to the sample interphone, the interphone host and the interphone sub-machine, and the important index detection scheme realizes the detection of the intercom performance of the sample interphone, the interphone host and the interphone sub-machine;
installing detection ports on the interphone main machine and the interphone sub-machine according to an important index detection scheme, and installing detection ports on the sample interphone according to the important index detection scheme;
monitoring the performances of an interphone host and an interphone sub-machine through a detection port, and obtaining detection data of the interphone host and the interphone sub-machine;
monitoring the performance of the sample interphone through a detection port to obtain detection data of the sample interphone;
training a reaction recognition model according to detection data of the sample interphone, wherein the reaction recognition model comprises a signal distortion degree model and a signal sensitivity model;
judging whether the interphone host and the interphone sub-machine have defects according to analysis processing of detection data of the interphone host and the interphone sub-machine and comparison of reaction recognition models, wherein the analysis processing of the detection data of the interphone host and the interphone sub-machine comprises measurement analysis of signal distortion degree and signal sensitivity analysis;
if the interphone main machine and the interphone sub-machine are judged to have defects, repairing the interphone main machine or the interphone sub-machine with the defects, and if the interphone main machine and the interphone sub-machine are judged to have no defects, repairing is not performed.
Preferably, the step of training the signal distortion degree model specifically includes the following steps:
fixing the distance D between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port collects average power of signals received by the sample interphone, and the detection port collects average power of noise received by the sample interphone;
calculating the rated signal-to-noise ratio of the sample interphone by adopting a signal-to-noise ratio formula;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the sample interphone at preset time;
calculating the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone according to a frequency calculation formula, and calculating a rated frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone;
combining the distance D, the rated signal-to-noise ratio and the rated frequency deviation value into an array to obtain a signal distortion degree array;
changing D by taking r as a distance, wherein r is larger than 0 and smaller than the difference between the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, the D changing range covers the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, and at least one group of signal distortion degree arrays corresponding to D are obtained according to the steps;
at least one signal distortion degree array jointly forms a signal distortion degree model;
the frequency calculation formula is as follows:
wherein f is the signal frequency, N is the number of pulses, and T is the preset time.
Preferably, the formula of the signal-to-noise ratio is specifically as follows:
wherein,for signal to noise ratio, ps is the average power of the signal and Pn is the average power of the noise.
Preferably, the step of training the signal sensitivity model is specifically as follows:
fixing the distance E between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port is used for collecting the time of the signal transmitter to transmit signals and collecting the time of the sample interphone to receive signals;
calculating the sensitivity time difference between the time of transmitting signals by the signal transmitter and the time of receiving signals by the sample interphone;
combining the distance E and the sensitivity time difference into an array to obtain a signal sensitivity array;
changing the maximum value and the minimum value of the interval between the interphone main machine and the interphone sub-machine by taking r as the interval, and obtaining at least one group of signal sensitivity arrays corresponding to E according to the steps;
at least one signal sensitivity array together forms a signal sensitivity model.
Preferably, the measurement and analysis of the signal distortion degree includes the following steps:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects average power of signals of the interphone host or the interphone sub-machine, and the detection port collects average power of noise received by the interphone host or the interphone sub-machine;
calculating the actual signal-to-noise ratio of the interphone host or the interphone sub-machine by adopting a signal-to-noise ratio formula;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the interphone host or the interphone sub-machine at preset time;
according to the frequency calculation formula, calculating to obtain the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine, and calculating the actual frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine.
Preferably, the signal sensitivity analysis comprises the steps of:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects the time of the signal transmitter transmitting signals, and the detection port collects the time of the interphone host or the interphone sub-machine receiving signals;
the actual sensitivity time difference between the time the signal transmitter transmits the signal and the time the sample interphone receives the signal is calculated.
Preferably, the judging whether the interphone main unit and the interphone sub-unit have defects includes the following steps:
taking one of an interphone main machine and an interphone sub-machine as an interphone tester;
carrying out signal sensitivity analysis on the intercom testing machine to obtain the actual sensitivity time difference;
measuring and analyzing the signal distortion degree of the intercom testing machine to obtain an actual signal-to-noise ratio and an actual frequency deviation value;
estimating the distance G between the intercom testing machine and the signal transmitter according to the actual sensitivity time difference and the signal propagation speed;
the signal distortion degree array corresponding to the interval D with the minimum G difference value is called from the signal distortion degree model, and the signal sensitivity array corresponding to the interval E with the minimum G difference value is called from the signal sensitivity model;
and calculating the comprehensive deviation degree of the intercom tester, and judging whether the intercom tester has defects according to the comprehensive deviation degree.
Preferably, the step of judging whether the intercom tester has defects includes the following steps:
if the comprehensive deviation is greater than 0.1, the intercom testing machine has defects:
if the comprehensive deviation degree is not more than 0.1, the intercom test machine has no defect.
An intelligent detection management system of an interphone system is used for realizing the intelligent detection management method of the interphone system, and comprises the following steps:
the dispatching module is used for controlling the intercom main machine and the intercom sub-machine to be connected or disconnected from the intercom system, controlling the intercom main machine and the intercom sub-machine to receive signals, selecting and controlling one intercom main machine or intercom sub-machine as a signal transmitter, and controlling the signal transmitter to receive signals;
the detection port module is used for acquiring test data of the interphone host, the interphone sub-machine and the sample interphone, and the detection port is used for acquiring average power of signals, average power of noise, signal frequency and signal receiving and transmitting time;
the sample training module is used for training the sample interphone to obtain a reaction recognition model;
and the defect judging module judges whether the interphone host and the interphone sub-machine have defects according to the reaction recognition model, the signal distortion degree measurement analysis and the signal sensitivity analysis, and feeds back the interphone with the defects so as to repair.
A storage medium having stored thereon a computer readable program which when invoked performs the intercom system intelligent detection management method described above.
Compared with the prior art, the invention has the beneficial effects that:
by arranging the scheduling module, the detection port module, the sample training module and the defect judging module, a reaction identification model trained by the sample training module is used as a reference to timely feed back possible defects in the interphone system, so that the defects in the interphone system can be timely repaired, the definition of signals of the whole interphone system can be ensured when the signals are transmitted, the signal transmission is ensured to have no great time delay, and meanwhile, the accuracy of detection can be ensured when the defects in the interphone system are judged due to the fact that the sample interphone which is confirmed to be a qualified product is used as the reference.
Drawings
Fig. 1 is a schematic flow chart of an intelligent detection management method of an interphone system;
FIG. 2 is a schematic diagram of a training process of a signal distortion model according to the present invention;
FIG. 3 is a schematic diagram of a training process of a signal sensitivity model according to the present invention;
FIG. 4 is a schematic diagram of a flow chart of measurement and analysis of signal distortion;
FIG. 5 is a schematic diagram of a signal sensitivity analysis flow chart according to the present invention;
fig. 6 is a schematic diagram of a flow chart for judging whether the interphone main unit and the interphone sub-unit have defects or not according to the present invention.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art.
Referring to fig. 1-6, an intelligent detection management method for an interphone system includes:
at least one interphone host and at least one interphone sub-machine are connected to a dispatching desk, at least one sample interphone is connected to the dispatching desk, the dispatching desk obtains the addresses of the interphone host and the interphone sub-machine, the dispatching desk obtains the addresses of the sample interphone, the sample interphone is an interphone serving as a standard, a reference is provided for the sample interphone, and all the sample interphones are qualified interphones;
the dispatching desk selects and controls an interphone host or an interphone sub-machine as a signal transmitter, and the signal transmitter transmits an audio signal source;
the dispatching desk forms an important index detection scheme according to the sample interphone, the interphone host and the interphone sub-machine, and the important index detection scheme realizes the detection of the intercom performance of the sample interphone, the interphone host and the interphone sub-machine;
installing detection ports on the interphone main machine and the interphone sub-machine according to an important index detection scheme, and installing detection ports on the sample interphone according to the important index detection scheme;
monitoring the performances of an interphone host and an interphone sub-machine through a detection port, and obtaining detection data of the interphone host and the interphone sub-machine;
monitoring the performance of the sample interphone through a detection port to obtain detection data of the sample interphone;
training a reaction recognition model according to detection data of the sample interphone, wherein the reaction recognition model comprises a signal distortion degree model and a signal sensitivity model;
judging whether the interphone host and the interphone sub-machine have defects according to analysis processing of detection data of the interphone host and the interphone sub-machine and comparison of reaction recognition models, wherein the analysis processing of the detection data of the interphone host and the interphone sub-machine comprises measurement analysis of signal distortion degree and signal sensitivity analysis;
if the interphone main machine and the interphone sub-machine are judged to have defects, repairing the interphone main machine or the interphone sub-machine with the defects, and if the interphone main machine and the interphone sub-machine are judged to have no defects, repairing is not performed.
The training steps of the signal distortion model are specifically as follows:
fixing the distance D between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port collects average power of signals received by the sample interphone, and the detection port collects average power of noise received by the sample interphone;
calculating the rated signal-to-noise ratio of the sample interphone by adopting a signal-to-noise ratio formula;
the rated signal-to-noise ratio is data generated by a sample interphone and is used as a reference of the detected signal-to-noise ratios of an interphone host and an interphone sub-machine, so that the data can be distributed in the comprehensive deviation degree as a weight according to the deviation between the data and the rated signal-to-noise ratio, and the data is used as one of reference bases in the final judgment;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the sample interphone at preset time;
calculating the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone according to a frequency calculation formula, and calculating a rated frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone;
combining the distance D, the rated signal-to-noise ratio and the rated frequency deviation value into an array to obtain a signal distortion degree array;
the rated frequency deviation value is data generated by a sample interphone and is used as a reference of the detected frequency deviation values of an interphone host and an interphone sub-machine, so that the data can be distributed in the comprehensive deviation degree as a weight according to the deviation between the data and the rated frequency deviation value, and the data is used as one of reference bases in the final judgment;
changing D by taking r as a distance, wherein r is larger than 0 and smaller than the difference between the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, and the D changing range covers the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, wherein the signal transmitter is also one of the interphone main machine and the interphone sub-machine, and at least one group of signal distortion degree arrays corresponding to the D are obtained according to the steps, namely each changed D corresponds to one signal distortion degree array, so that a plurality of groups of signal distortion degree arrays are provided;
at least one signal distortion degree array jointly forms a signal distortion degree model;
the size of r can be changed, the variation range of D covers the maximum value and the minimum value of the interval between the interphone host and the interphone sub-machine, and D is increased or decreased between the maximum value and the minimum value according to r, so that for the interval between any interphone host or the interphone sub-machine and the signal transmitter, a signal distortion degree array with the interval difference not exceeding r can be found and used as a reference, so that parameters of signals can be compared, and as r can be arbitrarily small according to requirements, the accuracy of comparison detection can be improved to any requirements;
the frequency calculation formula is as follows:
wherein f is the signal frequency, N is the number of pulses, and T is the preset time.
The signal to noise ratio formula is specifically as follows:
wherein,for signal to noise ratio, ps is the average power of the signal and Pn is the average power of the noise.
The signal sensitivity model training steps are specifically as follows:
fixing the distance E between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port is used for collecting the time of the signal transmitter to transmit signals and collecting the time of the sample interphone to receive signals;
calculating the sensitivity time difference between the time of transmitting signals by the signal transmitter and the time of receiving signals by the sample interphone;
the sensitivity time difference is data generated by a sample interphone and is used as a reference of the detected actual sensitivity time difference of the interphone main machine and the interphone sub-machine, so that the data can be distributed in the comprehensive deviation degree as weight according to the deviation of the data from the sensitivity time difference, and the data is used as one of reference bases in the final judgment;
combining the distance E and the sensitivity time difference into an array to obtain a signal sensitivity array;
changing the maximum value and the minimum value of the interval between the interphone main machine and the interphone sub-machine by taking r as the interval, and obtaining at least one group of signal sensitivity arrays corresponding to E according to the steps;
the arrangement of r and E is similar to the effect of the arrangement of r and D described above;
at least one signal sensitivity array together forms a signal sensitivity model.
The measurement and analysis of the signal distortion degree comprise the following steps:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects average power of signals of the interphone host or the interphone sub-machine, and the detection port collects average power of noise received by the interphone host or the interphone sub-machine;
calculating the actual signal-to-noise ratio of the interphone host or the interphone sub-machine by adopting a signal-to-noise ratio formula;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the interphone host or the interphone sub-machine at preset time;
according to the frequency calculation formula, calculating to obtain the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine, and calculating the actual frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine.
The signal sensitivity analysis includes the steps of:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects the time of the signal transmitter transmitting signals, and the detection port collects the time of the interphone host or the interphone sub-machine receiving signals;
the actual sensitivity time difference between the time the signal transmitter transmits the signal and the time the sample interphone receives the signal is calculated.
The method for judging whether the interphone main machine and the interphone sub-machine have defects comprises the following steps:
taking one of an interphone main machine and an interphone sub-machine as an interphone tester;
carrying out signal sensitivity analysis on the intercom testing machine to obtain the actual sensitivity time difference;
measuring and analyzing the signal distortion degree of the intercom testing machine to obtain an actual signal-to-noise ratio and an actual frequency deviation value;
estimating the distance G between the intercom testing machine and the signal transmitter according to the actual sensitivity time difference and the signal propagation speed;
the signal distortion degree array corresponding to the interval D with the minimum G difference value is called from the signal distortion degree model, and the signal sensitivity array corresponding to the interval E with the minimum G difference value is called from the signal sensitivity model;
and calculating the comprehensive deviation degree of the intercom tester, and judging whether the intercom tester has defects according to the comprehensive deviation degree.
When the comprehensive deviation degree is calculated, the rated signal-to-noise ratio H and the rated frequency deviation value I in the corresponding signal distortion degree array are taken, the sensitivity time difference J in the corresponding signal sensitivity array is taken, the actual signal-to-noise ratio K, the actual frequency deviation value L and the actual sensitivity time difference M are taken, and then the comprehensive deviation degree N is as follows:
wherein,is an absolute value;
during evaluation, the rated signal-to-noise ratio H, the rated frequency deviation value I and the sensitivity time difference J are taken as weights to participate in evaluation, so that the stability of the whole evaluation system is stronger, and erroneous judgment cannot occur due to a single factor.
Judging whether the intercom tester has defects or not comprises the following steps:
if the comprehensive deviation is greater than 0.1, the intercom testing machine has defects:
if the comprehensive deviation degree is not more than 0.1, the intercom test machine has no defect.
An intelligent detection management system of an interphone system is used for realizing the intelligent detection management method of the interphone system, and comprises the following steps:
the dispatching module is used for controlling the intercom main machine and the intercom sub-machine to be connected or disconnected from the intercom system, controlling the intercom main machine and the intercom sub-machine to receive signals, selecting and controlling one intercom main machine or intercom sub-machine as a signal transmitter, and controlling the signal transmitter to receive signals;
the detection port module is used for acquiring test data of the interphone host, the interphone sub-machine and the sample interphone, and the detection port is used for acquiring average power of signals, average power of noise, signal frequency and signal receiving and transmitting time;
the sample training module is used for training the sample interphone to obtain a reaction recognition model;
and the defect judging module judges whether the interphone host and the interphone sub-machine have defects according to the reaction recognition model, the signal distortion degree measurement analysis and the signal sensitivity analysis, and feeds back the interphone with the defects so as to repair.
The working process of the intelligent detection management system of the interphone system is as follows:
step one: the dispatching module controls the intercom host and the intercom sub-units to be accessed to the dispatching desk, and the dispatching module controls the sample intercom to be accessed to the dispatching desk;
step two: the detection port module collects detection data of the sample interphone, and the sample training module trains to form a reaction recognition model;
step three: the detection port module is used for collecting detection data of the interphone host and the interphone sub-machine;
step four: the defect judging module judges whether the interphone host and the interphone sub-machine have defects or not according to analysis processing of detection data of the interphone host and the interphone sub-machine and comparison reaction identification model;
step five: the defect judging module feeds back the interphone host or the interphone sub-machine with the defect so as to repair the interphone host or the interphone sub-machine with the defect.
A storage medium having stored thereon a computer readable program which when invoked performs the intercom system intelligent detection management method described above.
It is understood that the storage medium suitable for the above method may be a magnetic medium, for example, a floppy disk, a hard disk, a magnetic tape; optical media such as DVD; or a semiconductor medium such as a solid state disk SolidStateDisk, SSD, etc.
In summary, the invention has the advantages that: by arranging the scheduling module, the detection port module, the sample training module and the defect judging module, a reaction identification model trained by the sample training module is used as a reference to timely feed back possible defects in the interphone system, so that the defects in the interphone system can be timely repaired, the definition of signals of the whole interphone system can be ensured when the signals are transmitted, the signal transmission is ensured to have no great time delay, and meanwhile, the accuracy of detection can be ensured when the defects in the interphone system are judged due to the fact that the sample interphone which is confirmed to be a qualified product is used as the reference.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An intelligent detection management method for an interphone system is characterized by comprising the following steps:
at least one interphone host and at least one interphone sub-machine are connected to the dispatching desk, at least one sample interphone is connected to the dispatching desk, the dispatching desk obtains the addresses of the interphone host and the interphone sub-machine, and the dispatching desk obtains the sample interphone addresses;
the dispatching desk selects and controls an interphone host or an interphone sub-machine as a signal transmitter, and the signal transmitter transmits an audio signal source;
the dispatching desk forms an important index detection scheme according to the sample interphone, the interphone host and the interphone sub-machine, and the important index detection scheme realizes the detection of the intercom performance of the sample interphone, the interphone host and the interphone sub-machine;
installing detection ports on the interphone main machine and the interphone sub-machine according to an important index detection scheme, and installing detection ports on the sample interphone according to the important index detection scheme;
monitoring the performances of an interphone host and an interphone sub-machine through a detection port, and obtaining detection data of the interphone host and the interphone sub-machine;
monitoring the performance of the sample interphone through a detection port to obtain detection data of the sample interphone;
training a reaction recognition model according to detection data of the sample interphone, wherein the reaction recognition model comprises a signal distortion degree model and a signal sensitivity model;
judging whether the interphone host and the interphone sub-machine have defects according to analysis processing of detection data of the interphone host and the interphone sub-machine and comparison of reaction recognition models, wherein the analysis processing of the detection data of the interphone host and the interphone sub-machine comprises measurement analysis of signal distortion degree and signal sensitivity analysis;
if the interphone main machine and the interphone sub-machine are judged to have defects, repairing the interphone main machine or the interphone sub-machine with the defects, and if the interphone main machine and the interphone sub-machine are judged to have no defects, repairing is not performed.
2. The intelligent detection management method of an intercom system according to claim 1, wherein the step of training the signal distortion degree model is specifically as follows:
fixing the distance D between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port collects average power of signals received by the sample interphone, and the detection port collects average power of noise received by the sample interphone;
calculating the rated signal-to-noise ratio of the sample interphone by adopting a signal-to-noise ratio formula;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the sample interphone at preset time;
calculating the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone according to a frequency calculation formula, and calculating a rated frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the sample interphone;
combining the distance D, the rated signal-to-noise ratio and the rated frequency deviation value into an array to obtain a signal distortion degree array;
changing D by taking r as a distance, wherein r is larger than 0 and smaller than the difference between the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, the D changing range covers the maximum value and the minimum value of the distance between the interphone main machine and the interphone sub-machine, and at least one group of signal distortion degree arrays corresponding to D are obtained according to the steps;
at least one signal distortion degree array jointly forms a signal distortion degree model;
the frequency calculation formula is as follows:
，
wherein f is the signal frequency, N is the number of pulses, and T is the preset time.
3. The intelligent detection management method of an interphone system according to claim 2, wherein the signal-to-noise ratio formula is as follows:
，
wherein,for signal to noise ratio, ps is the average power of the signal and Pn is the average power of the noise.
4. The intelligent detection and management method for an intercom system according to claim 3, wherein the step of training the signal sensitivity model is specifically as follows:
fixing the distance E between the signal transmitter and the sample interphone;
the signal transmitter transmits an audio signal, and the sample interphone receives the audio signal;
the detection port is used for collecting the time of the signal transmitter to transmit signals and collecting the time of the sample interphone to receive signals;
calculating the sensitivity time difference between the time of transmitting signals by the signal transmitter and the time of receiving signals by the sample interphone;
combining the distance E and the sensitivity time difference into an array to obtain a signal sensitivity array;
changing the maximum value and the minimum value of the interval between the interphone main machine and the interphone sub-machine by taking r as the interval, and obtaining at least one group of signal sensitivity arrays corresponding to E according to the steps;
at least one signal sensitivity array together forms a signal sensitivity model.
5. The intelligent detection and management method for an intercom system according to claim 4, wherein the measurement and analysis of the signal distortion degree comprises the steps of:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects average power of signals of the interphone host or the interphone sub-machine, and the detection port collects average power of noise received by the interphone host or the interphone sub-machine;
calculating the actual signal-to-noise ratio of the interphone host or the interphone sub-machine by adopting a signal-to-noise ratio formula;
the detection port collects the number of signal pulses output by the signal transmitter at preset time, and the detection port collects the number of signal pulses received by the interphone host or the interphone sub-machine at preset time;
according to the frequency calculation formula, calculating to obtain the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine, and calculating the actual frequency deviation value of the signal frequency transmitted by the signal transmitter and the signal frequency of the interphone host or the interphone sub-machine.
6. The intelligent detection and management method for an intercom system according to claim 5, wherein the signal sensitivity analysis comprises the steps of:
the signal transmitter transmits an audio signal, and the interphone host or the interphone sub-machine receives the audio signal;
the detection port collects the time of the signal transmitter transmitting signals, and the detection port collects the time of the interphone host or the interphone sub-machine receiving signals;
the actual sensitivity time difference between the time the signal transmitter transmits the signal and the time the sample interphone receives the signal is calculated.
7. The intelligent detection and management method for an intercom system according to claim 6, wherein the judging whether the intercom main unit and the intercom sub-unit have defects comprises the following steps:
taking one of an interphone main machine and an interphone sub-machine as an interphone tester;
carrying out signal sensitivity analysis on the intercom testing machine to obtain the actual sensitivity time difference;
measuring and analyzing the signal distortion degree of the intercom testing machine to obtain an actual signal-to-noise ratio and an actual frequency deviation value;
estimating the distance G between the intercom testing machine and the signal transmitter according to the actual sensitivity time difference and the signal propagation speed;
the signal distortion degree array corresponding to the interval D with the minimum G difference value is called from the signal distortion degree model, and the signal sensitivity array corresponding to the interval E with the minimum G difference value is called from the signal sensitivity model;
and calculating the comprehensive deviation degree of the intercom tester, and judging whether the intercom tester has defects according to the comprehensive deviation degree.
8. The intelligent detection and management method for an intercom system according to claim 7, wherein the step of judging whether the intercom test machine has a defect comprises the steps of:
if the comprehensive deviation is greater than 0.1, the intercom testing machine has defects:
if the comprehensive deviation degree is not more than 0.1, the intercom test machine has no defect.
9. An intercom system intelligent detection management system for implementing the intercom system intelligent detection management method as described in any one of claims 1 to 8, comprising:
the dispatching module is used for controlling the intercom main machine and the intercom sub-machine to be connected or disconnected from the intercom system, controlling the intercom main machine and the intercom sub-machine to receive signals, selecting and controlling one intercom main machine or intercom sub-machine as a signal transmitter, and controlling the signal transmitter to receive signals;
the detection port module is used for acquiring test data of the interphone host, the interphone sub-machine and the sample interphone, and the detection port is used for acquiring average power of signals, average power of noise, signal frequency and signal receiving and transmitting time;
the sample training module is used for training the sample interphone to obtain a reaction recognition model;
and the defect judging module judges whether the interphone host and the interphone sub-machine have defects according to the reaction recognition model, the signal distortion degree measurement analysis and the signal sensitivity analysis, and feeds back the interphone with the defects so as to repair.
10. A storage medium having stored thereon a computer readable program, wherein the computer readable program when invoked performs the intercom system intelligent detection management method of any of claims 1 to 8.
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