更新時(shí)間：2023-02-14
文章來(lái)源：http://m.74seba.com/
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從事音響設(shè)備的朋友會(huì)遇到系統(tǒng)調(diào)試和設(shè)備使用的問題。一套專門的音響系統(tǒng)必須通過(guò)系統(tǒng)調(diào)試才能取得良好的效果。
山東音響系統(tǒng)調(diào)試主要是檢查每臺(tái)設(shè)備的工作狀態(tài)、電平匹配、聲壓級(jí)設(shè)置、系統(tǒng)頻率響應(yīng)、限壓器起點(diǎn)、延遲、反饋抑制器調(diào)整等。
Friends who are engaged in audio equipment will encounter problems with system debugging and equipment use. A set of special audio system must be debugged to achieve good results. Shandong professional audio system commissioning is mainly to check the working status, level matching, sound pressure level setting, system frequency response, voltage limiter starting point, delay, feedback suppressor adjustment, etc. of each equipment.
有沒有可以根據(jù)現(xiàn)場(chǎng)情況智能設(shè)置相關(guān)參數(shù)，輕松處理系統(tǒng)調(diào)試的設(shè)備？我們以前不敢這樣希望，但現(xiàn)在可以大膽提出，期待這種智能音響設(shè)備盡快推廣應(yīng)用。
Is there any equipment that can intelligently set relevant parameters according to the site conditions and easily handle system debugging? We didn't dare to hope so before, but now we can boldly put forward and hope that this intelligent audio equipment will be popularized and applied as soon as possible.
目前，音頻設(shè)備已經(jīng)放棄了模擬和數(shù)字電路技術(shù)。大規(guī)模的集成電路技術(shù)使CPU容易植入設(shè)備。毫無(wú)疑問，這種類似微機(jī)的芯片植入不僅可以提高設(shè)備的綜合性能，還可以使音頻設(shè)備更加智能，不再遙遠(yuǎn)。
At present, audio equipment has abandoned analog and digital circuit technology. Large-scale integrated circuit technology makes it easy to implant the CPU into the device. Undoubtedly, this micro-computer-like chip implantation can not only improve the comprehensive performance of the equipment, but also make the audio equipment more intelligent and not far away.
但問題是，我們音頻行業(yè)的R&D人員是否有這樣的理解。目前，音頻行業(yè)的大多數(shù)設(shè)備都處于普遍的智能化狀態(tài)。在大多數(shù)設(shè)備水平上，網(wǎng)絡(luò)化和信息化才剛剛開始。當(dāng)然，智能實(shí)際上是一些沒有智能數(shù)據(jù)模式的調(diào)用，就自動(dòng)化而言。
But the question is whether our R&D personnel in the audio industry have such understanding. At present, most devices in the audio industry are in a general intelligent state. At the level of most equipment, networking and informatization have just begun. Of course, intelligence is actually some calls without intelligent data mode, in terms of automation.
盡管如此，這種設(shè)備很少可憐，所謂的應(yīng)用場(chǎng)景模式也很少可憐。因此，只有少數(shù)人可以調(diào)試和使用多個(gè)音響系統(tǒng)，提高設(shè)備的性能，如大型劇場(chǎng)和娛樂場(chǎng)所，以及高頻率？對(duì)于使用也有很大的限制。
However, such devices are rarely pitiful, and the so-called application scenario mode is also rarely pitiful. Therefore, only a few people can debug and use multiple audio systems to improve the performance of advanced equipment, such as large theatres and entertainment venues, and high frequency? There are also great restrictions on advanced use.
必須指出的是，智能機(jī)器的研發(fā)也走過(guò)了一條彎路。在此之前，大多數(shù)智能機(jī)器理論上將實(shí)際應(yīng)用存儲(chǔ)在機(jī)器中，然后將當(dāng)時(shí)的應(yīng)用程序與內(nèi)存中的場(chǎng)景進(jìn)行比較，找出類似或合適的模式進(jìn)行啟用。
It must be pointed out that the R&D of intelligent machines has also gone through a detour. Before that, most intelligent machines theoretically stored the actual application in the machine, and then compared the application at that time with the scene in memory to find a similar or suitable mode to enable.
事實(shí)證明，這種思維很快就進(jìn)入了智能機(jī)器研發(fā)的死胡同。一方面，現(xiàn)實(shí)中的應(yīng)用場(chǎng)景很難耗盡，即沒有數(shù)量的存儲(chǔ)模式可以滿足實(shí)際應(yīng)用；另一方面，這種窮舉性思維無(wú)法充分發(fā)揮計(jì)算機(jī)-數(shù)值計(jì)算的優(yōu)勢(shì)。
Facts have proved that this kind of thinking soon entered the dead end of intelligent machine research and development. On the one hand, it is difficult to exhaust the application scenarios in reality, that is, there is no number of storage modes to meet the actual application; On the other hand, this kind of exhaustive thinking cannot give full play to the advantages of computer-numerical calculation.
因此，智能機(jī)器的研發(fā)只能采用另一種方式，即不斷使用各種傳感器收集的數(shù)據(jù)，與參考數(shù)據(jù)進(jìn)行比較，調(diào)整輸出(動(dòng)作)，然后將傳感器收集的數(shù)據(jù)與參考數(shù)據(jù)進(jìn)行比較。計(jì)算，判斷是計(jì)算機(jī)的力量，它使機(jī)器智能走出死胡同，擁有好的未來(lái)。關(guān)注我們
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Therefore, the research and development of smart machines can only adopt another way, that is, continuously use the data collected by various sensors to compare with the reference data, adjust the output (action), and then compare the data collected by sensors with the reference data. Computing and judgment are the power of computers, which make machine intelligence go out of the dead end and have a good future. Follow us http://m.74seba.com , learn more!
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