A method for supporting adaptive multiple signal indication and device control

Abstract

The present application relates to the technical field of signal communication, and particularly relates to a kind of supporting adaptive multiple signal indication and equipment centralized control method, comprising the following steps: Step1: receiving multiple-source indication signal, and multiple-source indication signal is distributedly stored;Step2: traversing identification distributedly stored multiple-source indication signal, identification multiple-source indication signal information quantity, and multiple-source indication signal processing queue is generated based on multiple-source indication signal information quantity;Step3: based on multiple-source indication signal processing queue, multiple-source indication signal in queue is sequentially received, and after receiving multiple-source indication signal, uniform format conversion is carried out to received multiple-source indication signal;Step4: further identification multiple-source indication signal content based on the uniform format conversion result of multiple-source indication signal in step3;The present application solves the compatibility problem of communication terminal and multiple communication devices, solves the problem that communication terminal product needs to add various information lamp small plates to cooperate various switches, and facilitates batch production of production enterprises.

Description

Technical Field

[0001] This invention relates to the field of signal communication technology, and more specifically to a method for supporting adaptive multi-signal indication and centralized control of devices. Background Technology

[0002] Current communication terminal products typically only recognize one or two voicemail signals. Using discrete components to identify various signals is traditional and outdated, failing to keep pace with current chip development. Software-based identification methods are relatively expensive, and space constraints prevent integrating all detection modules into a single product, leading to mismatches between components and market demands, resulting in replacements and unnecessary waste of resources. With an automatic identification system, the product automatically recognizes various signals provided by the exchange. Furthermore, remote updates and batch settings changes for phone data resolve issues related to personalized settings for different customers.

[0003] Given the aforementioned issues, automatic signal identification technology and remote update technology become particularly important. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a method for supporting adaptive multi-signal indication and centralized control of equipment, which solves the technical problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for supporting adaptive multi-signal indication and centralized device control includes the following steps: Step 1: Receive multi-source indication signals and perform distributed storage of the multi-source indication signals; Step 2: Traverse and identify the multi-source indicator signals in the distributed storage, identify the information content of the multi-source indicator signals, and generate a multi-source indicator signal processing queue based on the information content of the multi-source indicator signals; Step 3: Based on the multi-source indicator signal processing queue, the multi-source indicator signals in the queue are received sequentially. After receiving the multi-source indicator signals, the received multi-source indicator signals are converted into a unified format. Step 4: Based on the unified format conversion results of the multi-source indicator signals in Step 3, further identify the content of the multi-source indicator signals; Step 5: Synchronously bind the multi-source indicator signal recognition content with the multi-source indicator signal. When a new multi-source indicator signal is received in Step 1, bind the multi-source indicator signal based on the multi-source indicator signal recognition content and analyze the consistent multi-source indicator signal. Step 6: If a consistent multi-source indication signal is found, output the identification content bound to the multi-source indication signal; otherwise, if no consistent multi-source indication signal is found, execute Step 3.

[0006] Furthermore, the attributes of the multi-source indication signal received in Step 1 include: high voltage signal, pulse signal, low voltage signal, and FSK signal. The multi-source indication signal uses any switch capable of performing signal data storage operations as the distributed storage target. When the switch performs distributed storage of the multi-source indication signal, it completes the distributed storage based on the attributes of the multi-source indication signal. When the switch performs distributed storage of the multi-source indication signal, Step 1 does not perform the receiving operation of the multi-source indication signal.

[0007] Furthermore, Step 1 sets a multi-source signal parameter identification threshold. After receiving the multi-source indication signal, Step 1 performs a distributed storage stage for the multi-source indication signal and simultaneously filters the multi-source indication signal based on the set multi-source signal parameter identification threshold. All multi-source indication signals that are distributed and stored in Step 1 are within the range of the multi-source signal parameter identification threshold.

[0008] Furthermore, the amount of information in the multi-source indicator signal identified in Step 2 is the information entropy contained in the multi-source indicator signal.

[0009] Furthermore, Step 2 sets a refresh execution cycle. Step 2 is executed continuously based on the set refresh execution cycle to traverse and identify the multi-source indicator signals in the distributed storage, and further completes the real-time update of the multi-source indicator signal processing queue based on the identification results.

[0010] Furthermore, the unified format conversion logic for the multi-source indication signals in Step 3 is represented as follows: Step 31: Select a unified conversion target format, receive multi-source indication signals from the multi-source indication signal processing queue, and perform format conversion on the multi-source indication signals; Step 32: Decode the original multi-source indicator signal and the converted indicator signal, and identify the similarity between the two sets of decoding results; Step 33: Set a similarity threshold. When the similarity between the two sets of decoding results is within the similarity threshold, execute the reception and unified format conversion operation of the next set of multi-source indication signals. When the similarity between the two sets of decoding results is not within the similarity threshold, jump to step 34. Step 34: Jump to Step 31, change to a unified conversion target format, and perform format conversion again on the multi-source signal; Among them, the multi-source signal that performs format conversion again based on Step 34, after the conversion is completed, applies the target conversion format applied for the first time to complete the conversion.

[0011] Furthermore, in Step 32, the similarity of the decoding results is calculated using any one of the following algorithms: Euclidean distance algorithm, cosine similarity algorithm, Manhattan distance algorithm, Hamming distance algorithm, Jaccard similarity coefficient algorithm, edit distance algorithm, and longest common subsequence algorithm.

[0012] Furthermore, in Step 3, the multi-source indicator signal is received and converted to a unified format. A deletion operation is performed in the multi-source indicator signal processing queue and the switch that stores the multi-source indicator signal in a distributed manner. The result obtained after the multi-source indicator signal is converted to a unified format is used to iterate to the deletion position of the multi-source indicator signal.

[0013] Furthermore, the multi-source indication signal content identified in Step 4 is synchronously fed back to the switch via the wireless network and placed in the storage location of the distributed multi-source indication signal in the switch.

[0014] Furthermore, in Step 5, when performing consistency identification on the multi-source indicator signals, the identification is completed based on the information entropy of the multi-source indicator signals.

[0015] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects: 1. This invention provides a method for supporting adaptive multi-signal indication and device centralized control. This method solves the problem of compatibility between communication terminals and various communication devices, and solves the problem of communication terminal products needing to add various information light boards to match various switches, thus facilitating mass production for manufacturing enterprises.

[0016] 2. In the process of executing its steps, the method of the present invention identifies, distributes, converts, and further configures multi-source indication signals, thus solving the pain point of needing to update settings after the communication terminal product is issued. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0018] Figure 1 This is a flowchart illustrating a method for supporting adaptive multi-signal indication and centralized device control. Figure 2 This is a flowchart illustrating a sub-step of step 3 in the method of this invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0020] The present invention will be further described below with reference to embodiments.

[0021] Example 1

[0022] This embodiment provides a method for supporting adaptive multi-signal indication and centralized device control, such as... Figure 1 As shown, it includes the following steps: Step 1: Receive multi-source indication signals and perform distributed storage of the multi-source indication signals; Step 2: Traverse and identify the multi-source indicator signals in the distributed storage, identify the information content of the multi-source indicator signals, and generate a multi-source indicator signal processing queue based on the information content of the multi-source indicator signals; Step 3: Based on the multi-source indicator signal processing queue, the multi-source indicator signals in the queue are received sequentially. After receiving the multi-source indicator signals, the received multi-source indicator signals are converted into a unified format. Step 4: Based on the unified format conversion results of the multi-source indicator signals in Step 3, further identify the content of the multi-source indicator signals; Step 5: Synchronously bind the multi-source indicator signal recognition content with the multi-source indicator signal. When a new multi-source indicator signal is received in Step 1, bind the multi-source indicator signal based on the multi-source indicator signal recognition content and analyze the consistent multi-source indicator signal. Step 6: When a consistent multi-source indication signal is found, output the identification content bound to the multi-source indication signal; otherwise, if no consistent multi-source indication signal is found, execute Step 3. The unified format conversion logic for multi-source indicator signals in Step 3 is as follows: Step 31: Select a unified conversion target format, receive multi-source indication signals from the multi-source indication signal processing queue, and perform format conversion on the multi-source indication signals; Step 32: Decode the original multi-source indicator signal and the converted indicator signal, and identify the similarity between the two sets of decoding results; Step 33: Set a similarity threshold. When the similarity between the two sets of decoding results is within the similarity threshold, execute the reception and unified format conversion operation of the next set of multi-source indication signals. When the similarity between the two sets of decoding results is not within the similarity threshold, jump to step 34. Step 34: Jump to Step 31, change to a unified conversion target format, and perform format conversion again on the multi-source signal; Among them, the multi-source signal that performs format conversion again based on Step 34, after the conversion is completed, applies the target conversion format applied for the first time to complete the conversion.

[0023] Based on Example 1, the message signals emitted by different switches are further classified and the characteristics of each signal are identified. Through a microcontroller and a simple external interface circuit, the identified analog signals are converted into digital signals through AD-DA conversion, FSK decoding circuit, etc. According to the different digital signals converted from different signals, the characteristics of each signal are established, thereby realizing the automatic identification function of message signals that can automatically adapt to different switches.

[0024] Example 2

[0025] At the implementation level, based on Example 1, this example refers to... Figure 1 A further detailed description of the method for supporting adaptive multi-signal indication and device centralized control in Embodiment 1 is provided below: The attributes of the multi-source indication signals received in Step 1 include: high voltage signal, pulse signal, low voltage signal, and FSK signal. The multi-source indication signals use any switch capable of performing signal data storage operations as the distributed storage target. When the switch performs distributed storage of the multi-source indication signals, it completes the distributed storage based on the attributes of the multi-source indication signals. When the switch performs distributed storage of the multi-source indication signals, Step 1 does not perform the receiving operation of the multi-source indication signals.

[0026] like Figure 1 As shown, Step 1 sets a multi-source signal parameter identification threshold. After receiving the multi-source indicator signal, Step 1 performs a distributed storage stage for the multi-source indicator signal and simultaneously filters the multi-source indicator signal based on the set multi-source signal parameter identification threshold. All multi-source indicator signals that are distributed and stored in Step 1 are within the range of the multi-source signal parameter identification threshold.

[0027] like Figure 1 As shown, the amount of information in the multi-source indicator signal identified in Step 2 is the information entropy contained in the multi-source indicator signal.

[0028] like Figure 1As shown, Step 2 sets the refresh execution cycle. Step 2 is executed continuously based on the set refresh execution cycle to traverse and identify the multi-source indicator signals in the distributed storage, and further completes the real-time update of the multi-source indicator signal processing queue based on the identification results.

[0029] Example 3

[0030] At the implementation level, based on Example 1, this example refers to... Figure 1 A further detailed description of the method for supporting adaptive multi-signal indication and device centralized control in Embodiment 1 is provided below: In Step 32, the similarity of the decoding results is calculated using any one of the following algorithms: Euclidean distance, cosine similarity, Manhattan distance, Hamming distance, Jaccard similarity coefficient, edit distance, or longest common subsequence.

[0031] like Figure 1 As shown, in Step 3, the multi-source indicator signal is received and the unified format conversion is completed. The deletion operation is performed in the multi-source indicator signal processing queue and the distributed storage switch of the multi-source indicator signal. The result obtained after the unified format conversion of the multi-source indicator signal is used to iterate to the deletion position of the multi-source indicator signal.

[0032] like Figure 1 As shown, the multi-source indicator signal content identified in Step 4 is synchronously fed back to the switch via the wireless network and placed in the storage location of the distributed multi-source indicator signal in the switch.

[0033] like Figure 1 As shown, in Step 5, when performing consistency identification on the multi-source indicator signals, the identification is completed based on the information entropy of the multi-source indicator signals.

[0034] The invention will now be further described in conjunction with different message signals from the switch, so that those skilled in the art can better understand and implement the invention: Trial Implementation Example 1 Identification of High-Voltage Information Light and Siemens Information Light Signals: Both types of message signals are characterized by the switch emitting a high-voltage signal exceeding 80V when a message is received. The difference lies in the signal duration: the high-voltage information light signal is a continuous high level, while the Siemens signal is a pulse signal. Both signals are high-voltage signals. Hardware detection can be achieved by using a Zener diode with a voltage higher than the voltage when there is no signal but lower than the high-voltage signal voltage as the control input. Level conversion and protection circuitry are used to detect the high-voltage signal. Based on the differences between the two signals—a continuous high level for the high-voltage light and two pulses with a specific duty cycle for the Siemens message light—we can use a hardware interface circuit to detect the message signal, converting it into a digital signal. This involves converting the analog high / low level signal into digital 1s and 0s, and analyzing the duty cycle to determine whether the signal is a high-voltage information light signal or a Siemens signal. This hardware interface can also simultaneously detect the ringing signal, a 25Hz signal with a 4-second ringing period. This signal differs from the high-voltage message light signal and the Siemens message light signal. It can identify the ringing signal of terminal products and indicate their status via LEDs. This input detection method can also be used to identify the message information light signal of Philips switches. The Philips switch message signal has the same voltage input magnitude, but differs from the Siemens signal in the duration and interval of the high and low levels.

[0035] Trial Implementation Example 2 The Lucent LED message light identification system identifies the low-voltage LED signal. When a signal is present, the terminal voltage alternates between 20-48V with a 1-second cycle of 500ms high and 500ms low. The voltage regulator used in the hardware detection circuit is selected to be greater than 20V and less than 48V. This ensures that the input port is high-voltage when there is no signal and low-level when a Lucent message signal is present. The microcontroller detects and calculates the input port to distinguish between parallel off-hook and local off-hook scenarios, confirming the presence of a Lucent message signal.

[0036] Trial Implementation Example 3 The detection of FSK centralized information light message signals is relatively simple. It mainly involves the switch sending FSK signals, and the chip only needs to have FSK decoding capabilities to achieve this.

[0037] After the terminal product detects a message signal, it outputs it through a common port, driving an LED to indicate the presence of a message. The message can be retrieved with a single quick-dial button.

[0038] Trial Implementation Example 4 The device allows for the copying of terminal product settings parameters. Terminal products have various parameters that need to be configured according to different customer needs. These include different usage modes for different purposes, such as hotel mode, office mode, Australian mode, Japanese mode, and Korean mode, as well as different speed dial numbers. Modifying these parameters can be complex or difficult for end users to understand. Our invention allows for remote configuration of the product, and the configured terminal can then act as a master unit for the customer to configure other terminal products.

[0039] The mechanism to achieve this function is that each terminal product can communicate. The design includes a data copying function. When a terminal product is copying data, it must first establish a connection, and then input the copy output and input commands to test the function of copying data from the master machine to the terminal product to be configured.

[0040] This copying operation can be performed remotely or at close range via a dedicated connection device. This allows for data transmission over a standard internet connection instead of a dedicated network connection.

[0041] In summary, the method described in the above-mentioned embodiments solves the compatibility problem between communication terminals and various communication devices, and addresses the challenge of adding various information light boards to communication terminal products to accommodate different types of switches, thus facilitating mass production for manufacturers. Furthermore, during the execution of the method's steps, multi-source indicator signals are identified, distributed, converted, and further configured. The method adds a batch copying function for settings on communication terminal products. After setting up a single communication terminal product, it provides a method for quickly and completely copying the settings of one product to another terminal. Through networking, it enables copying over long and short distances. This solves the pain point of needing to update settings after the communication terminal product is shipped. The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for supporting adaptive multi-signal indication and centralized device control, characterized in that, Includes the following steps: Step 1: Receive multi-source indication signals and perform distributed storage of the multi-source indication signals; In Step 1, a multi-source signal parameter identification threshold is set. After receiving the multi-source indication signal, Step 1 performs a distributed storage stage for the multi-source indication signal and simultaneously filters the multi-source indication signal based on the set multi-source signal parameter identification threshold. Step 2: Traverse and identify the multi-source indicator signals in the distributed storage, identify the information content of the multi-source indicator signals, and generate a multi-source indicator signal processing queue based on the information content of the multi-source indicator signals; In Step 2, a refresh execution cycle is set. Step 2 is executed continuously based on the set refresh execution cycle to traverse and identify the multi-source indicator signals in the distributed storage, and further completes the real-time update of the multi-source indicator signal processing queue based on the identification results. Step 3: Based on the multi-source indicator signal processing queue, the multi-source indicator signals in the queue are received sequentially. After receiving the multi-source indicator signals, the received multi-source indicator signals are converted into a unified format. Step 4: Based on the unified format conversion results of the multi-source indicator signals in Step 3, further identify the content of the multi-source indicator signals; Step 5: Synchronously bind the multi-source indicator signal recognition content with the multi-source indicator signal. When a new multi-source indicator signal is received in Step 1, bind the multi-source indicator signal based on the multi-source indicator signal recognition content and analyze the consistent multi-source indicator signal. Step 6: When a consistent multi-source indication signal is found, output the identification content bound to the multi-source indication signal; otherwise, if no consistent multi-source indication signal is found, execute Step 3. The unified format conversion logic for the multi-source indicator signals in Step 3 is represented as follows: Step 31: Select a unified conversion target format, receive multi-source indication signals from the multi-source indication signal processing queue, and perform format conversion on the multi-source indication signals; Step 32: Decode the original multi-source indicator signal and the converted indicator signal, and identify the similarity between the two sets of decoding results; Step 33: Set a similarity threshold. When the similarity between the two sets of decoding results is within the similarity threshold, execute the reception and unified format conversion operation of the next set of multi-source indication signals. When the similarity between the two sets of decoding results is not within the similarity threshold, jump to step 34. Step 34: Jump to Step 31, change to a unified conversion target format, and perform format conversion again on the multi-source signal; Among them, for multi-source signals that are converted again based on Step 34, the conversion target format applied for the first time is applied again after the conversion is completed to complete the conversion; The attributes of the multi-source indication signal received in Step 1 include: pulse signal and FSK signal. The multi-source indication signal uses any type of switch capable of performing signal data storage operations as the distributed storage target. When the switch performs distributed storage of the multi-source indication signal, it completes the distributed storage based on the attributes of the multi-source indication signal. The multi-source indication signal is the message signal output by the switch.

2. The method for supporting adaptive multi-signal indication and centralized device control according to claim 1, characterized in that, When the switch performs distributed storage of multi-source indication signals, Step 1 does not perform the receiving operation of multi-source indication signals.

3. The method for supporting adaptive multi-signal indication and centralized device control according to claim 1, characterized in that, In Step 1, all multi-source indicator signals for distributed storage are within the multi-source signal parameter recognition threshold range.

4. The method for supporting adaptive multi-signal indication and centralized device control according to claim 1, characterized in that, The amount of information in the multi-source indicator signal identified in Step 2 is the information entropy contained in the multi-source indicator signal.

5. A method for supporting adaptive multi-signal indication and centralized device control according to claim 4, characterized in that, In Step 32, the similarity of the decoding results is calculated using any one of the following algorithms: Euclidean distance algorithm, cosine similarity algorithm, Manhattan distance algorithm, Hamming distance algorithm, Jaccard similarity coefficient algorithm, edit distance algorithm, and longest common subsequence algorithm.

6. The method for supporting adaptive multi-signal indication and centralized device control according to claim 1, characterized in that, In Step 3, the multi-source indicator signal is received and converted to a unified format. The deletion operation is performed in the multi-source indicator signal processing queue and the distributed storage switch of the multi-source indicator signal. The result obtained after the multi-source indicator signal is converted to a unified format is used to iterate to the deletion position of the multi-source indicator signal.

7. The method for supporting adaptive multi-signal indication and centralized device control according to claim 1, characterized in that, The multi-source indicator signal content identified in Step 4 is synchronously fed back to the switch via the wireless network and placed in the storage location of the distributed multi-source indicator signal in the switch; wherein, when performing consistency identification on the multi-source indicator signal in Step 5, the identification is completed based on the information entropy of the multi-source indicator signal.

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