CN111212441A - Method for uniformly adjusting and optimizing scene signal parameters - Google Patents
Method for uniformly adjusting and optimizing scene signal parameters Download PDFInfo
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- CN111212441A CN111212441A CN201911342664.5A CN201911342664A CN111212441A CN 111212441 A CN111212441 A CN 111212441A CN 201911342664 A CN201911342664 A CN 201911342664A CN 111212441 A CN111212441 A CN 111212441A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Abstract
The invention discloses a method for uniformly adjusting and optimizing scene signal parameters, which specifically comprises the following steps: in the scene signal acquisition process, calculating a confidence interval according to normal distribution, and determining a normal signal intensity interval range; filtering abnormal data of scene signal acquisition and signal intensity deviation confidence intervals in the set, and grouping the abnormal data according to deviation interval distances; uniformly calculating gain ratios of each group according to the deviation interval distance for abnormal data in each group; and performing positive and negative gains on the corresponding groups of the acquired environment signals by using gain comparison, correcting abnormal data to fall in a confidence interval, and performing real-time tuning. The invention adopts a unified and quantifiable tuning method in the acquisition process to carry out positive and negative gains on the signals received in real time, thereby effectively reducing the error of environmental parameters and improving the scene recognition precision.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a method for adjusting and optimizing signal parameters in a scene.
Background
With the rapid development of computer technology and wireless communication technology, the real-time information processing capability of communication terminals is rapidly enhanced, and wireless multimedia applications are becoming the focus of attention in the industry. In the technical field of video monitoring, traditional monitoring equipment has been gradually replaced by networked digital video monitoring, and the direction of the technology is more advanced like intellectualization and wireless transmission. However, in the current wireless network video monitoring system, although wireless transmission of data is realized, the acquisition of remote data still relies on the monitoring device for acquisition, that is, if the reproduction of a remote scene is to be realized, a corresponding hardware device needs to be configured in the remote scene for realization. In a real environment, due to different transmitting powers of equipment purchased by a merchant, the signal attenuation degree caused by environmental obstacles is different, so that the environmental parameters (such as Wi-Fi and Bluetooth signal strength) have large local difference, and the scene recognition accuracy is influenced.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method for carrying out unified tuning on scene signal parameters so as to reduce environmental parameter errors and improve scene identification precision.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
The method for uniformly adjusting and optimizing the scene signal parameters specifically comprises the following steps:
A. in the scene signal acquisition process, calculating a confidence interval according to normal distribution, and determining a normal signal intensity interval range;
B. filtering abnormal data of which the signal intensity deviates from a confidence interval in the scene signal acquisition and aggregation process, and grouping the abnormal data according to the distance of the deviation interval;
C. uniformly calculating gain ratios of each group according to the deviation interval distance for abnormal data in each group;
D. and correspondingly grouping the acquired environment signals by using gain comparison, respectively performing positive and negative gains, correcting abnormal data to fall in a confidence interval, and performing real-time adjustment and optimization.
In the method for uniformly adjusting and optimizing the scene signal parameters, the confidence interval in the step a is calculated by adopting the following formula:
in the formula: u: signal mean, σ: and (4) signal standard deviation, n is the number of samples.
In the method for uniformly adjusting and optimizing the scene signal parameters, the deviation interval distances in the step B are grouped according to 5 steps.
In the method for uniformly adjusting and optimizing the scene signal parameters, the method for calculating the gain ratio in the step C is as follows: the interval maximum is divided by-55 and the interval minimum is divided by-60, and the two results are averaged.
Due to the adoption of the technical scheme, the technical progress of the invention is as follows.
The invention adopts a unified and quantifiable tuning method in the acquisition process to carry out positive and negative gains on the signals received in real time, thereby ensuring that the acquired scene signals are all in a confidence interval, effectively reducing the error of environmental parameters and improving the accuracy of scene recognition.
Drawings
FIG. 1 is a diagram of a scene signal profile for an original acquisition;
FIG. 2 is a flow chart of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the figures and specific examples.
The invention provides a method for uniformly adjusting and optimizing scene signal parameters, which is applied to the technical field of intelligent monitoring and is used for adjusting and optimizing the acquired environment signals of various scenes so as to reduce the error of the environment parameters and improve the scene identification precision. The flow chart is shown in fig. 2, and the specific operation steps are as follows.
A. And in the scene signal acquisition process, calculating a confidence interval according to normal distribution, and determining the range of a normal signal intensity interval.
For example, the acquired original scene signal has five hot spots, and the scene signal distribution is as shown in fig. 1. It can be seen from the figure that, because the power generated by different devices is not used, the signal attenuation degree caused by environmental obstacles is different, and it is necessary to adjust the acquired scene signals, thereby improving the scene recognition accuracy.
The normal distribution of confidence intervals was calculated using the following formula:
in the formula: u: signal mean, σ: and (4) signal standard deviation, n is the number of samples.
The confidence interval of the embodiment is-55 to-60 calculated according to the above formula, and in the subsequent signal tuning process, all the signal acquisitions are adjusted according to the confidence interval.
B. And filtering abnormal data of which the signal intensity deviates from the confidence interval in the scene signal acquisition and aggregation process, and grouping the abnormal data according to the deviation interval distance.
The offset interval distances are grouped in 5 steps. In this embodiment, the acquired original scene signals are divided into five groups according to the above principle: the deviation interval of the first group is-75 to-80, the deviation interval of the second group is-70 to-74, the deviation interval of the third group is-65 to-69, the deviation interval of the fourth group is-61 to-64 and the deviation interval of the fifth group is-50 to-54.
C. The gain ratios of the groups calculated according to the distance of the deviation section are unified for the abnormal data in the groups.
The gain ratio is calculated by the following method: the interval maximum is divided by-55 and the interval minimum is divided by-60, and the two results are averaged.
In this embodiment, the following gain ratio is calculated according to the above-mentioned calculation method: the gain ratio for the first set of outlier data is: 20%, the gain ratio of the second group of abnormal data is 15%, the gain ratio of the third group of abnormal data is 10%, the gain ratio of the fourth group of abnormal data is 5%, and the gain ratio of the fifth group of abnormal data is 5%.
D. And correspondingly grouping the acquired environment signals by using gain comparison, respectively performing positive and negative gains, correcting abnormal data to fall in a confidence interval, and performing real-time adjustment and optimization.
The adjusted scene signals are all in the confidence interval of-55 to-60, and reliable guarantee is provided for accurate scene identification.
Claims (4)
1. The method for uniformly adjusting and optimizing the scene signal parameters is characterized by comprising the following steps:
A. in the scene signal acquisition process, calculating a confidence interval according to normal distribution, and determining a normal signal intensity interval range;
B. filtering abnormal data of which the signal intensity deviates from a confidence interval in the scene signal acquisition and aggregation process, and grouping the abnormal data according to the distance of the deviation interval;
C. uniformly calculating gain ratios of each group according to the deviation interval distance for abnormal data in each group;
D. and correspondingly grouping the acquired environment signals by using gain comparison, respectively performing positive and negative gains, correcting abnormal data to fall in a confidence interval, and performing real-time adjustment and optimization.
2. The method as claimed in claim 1, wherein the confidence interval in step a is calculated as follows:
in the formula: u: signal mean, σ: and (4) signal standard deviation, n is the number of samples.
3. The method for unified tuning of scene signal parameters of claim 1, wherein in step B said deviating interval distances are grouped in 5 steps.
4. The method as claimed in claim 1, wherein the gain ratio in step C is calculated by: the interval maximum is divided by-55 and the interval minimum is divided by-60, and the two results are averaged.
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Citations (5)
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| US5321726A (en) * | 1988-01-13 | 1994-06-14 | Hewlett-Packard Company | Calibration of vector demodulator using statistical analysis |
| US20030014692A1 (en) * | 2001-03-08 | 2003-01-16 | California Institute Of Technology | Exception analysis for multimissions |
| US20160116892A1 (en) * | 2014-10-22 | 2016-04-28 | Industrial Technology Research Institute | Method and system of cause analysis and correction for manufacturing data |
| JP2018088225A (en) * | 2016-11-28 | 2018-06-07 | 日本コントロールシステム株式会社 | Abnormal value extraction system and method for analog waveform data using Gaussian fitting |
| CN109560823A (en) * | 2018-11-28 | 2019-04-02 | 京信通信系统（中国）有限公司 | Gain fluctuation modification method, device and the storage medium of digital communication equipment |
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2019
- 2019-12-23 CN CN201911342664.5A patent/CN111212441B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5321726A (en) * | 1988-01-13 | 1994-06-14 | Hewlett-Packard Company | Calibration of vector demodulator using statistical analysis |
| US20030014692A1 (en) * | 2001-03-08 | 2003-01-16 | California Institute Of Technology | Exception analysis for multimissions |
| US20160116892A1 (en) * | 2014-10-22 | 2016-04-28 | Industrial Technology Research Institute | Method and system of cause analysis and correction for manufacturing data |
| JP2018088225A (en) * | 2016-11-28 | 2018-06-07 | 日本コントロールシステム株式会社 | Abnormal value extraction system and method for analog waveform data using Gaussian fitting |
| CN109560823A (en) * | 2018-11-28 | 2019-04-02 | 京信通信系统（中国）有限公司 | Gain fluctuation modification method, device and the storage medium of digital communication equipment |
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Denomination of invention: Method for Unified Optimization of Scene Signal Parameters Effective date of registration: 20230908 Granted publication date: 20220513 Pledgee: Bank of China Limited by Share Ltd. Guangzhou Panyu branch Pledgor: GUANGZHOU MENGXIANG NETWORK TECHNOLOGY CO.,LTD. Registration number: Y2023980055816 |