Cooperative method, system and device for talkback and equipment monitoring, equipment and medium

Abstract

The invention relates to a talkback and equipment monitoring cooperation method, system, device, equipment and medium, and the method comprises the steps: collecting human voice data and multi-dimensional equipment state data in an indoor environment, and building a full-duplex voice link under the condition that a talkback signal is received; continuously receiving outdoor voice data transmitted by the outdoor interphone through the full duplex voice link, and synchronously sending human voice data to the outdoor interphone through the full duplex voice link so as to carry out two-way real-time talkback; detecting whether the multi-dimensional equipment state data meets an early warning condition or not, and generating an early warning instruction under the condition that the multi-dimensional equipment state data meets the early warning condition; the early warning instruction is transmitted to the outdoor interphone through the full duplex voice link, and the transmission priority of the early warning instruction is higher than that of the human voice data. The problem that the cooperation efficiency is low due to the fact that the talkback function and the equipment state monitoring function are isolated from each other is solved.

Description

Technical Field

[0001] This application relates to the field of communication transmission technology, and in particular to a collaborative method, system, device, equipment and medium for intercom and equipment monitoring. Background Technology

[0002] In medical examination settings such as radiology departments, communication between the control room and equipment often relies on basic intercom systems, while equipment operating status depends on independent monitoring systems. This approach has significant drawbacks. First, intercom systems are mostly simplex or half-duplex, resulting in poor real-time communication and inefficient command interaction. Second, the intercom function and status monitoring function are isolated, and monitoring data cannot be effectively integrated into the communication process. Operators must switch their attention between different terminals, making it difficult to simultaneously communicate and monitor equipment status, leading to delays in emergency response. Both poor real-time communication and delayed emergency response to malfunctions pose safety risks.

[0003] Therefore, the technical problem of low coordination efficiency caused by the isolation of intercom function and equipment status monitoring function urgently needs to be solved, but no effective solution has been proposed yet. Summary of the Invention

[0004] This application provides a method, system, device, equipment, and medium for coordinating intercom and equipment monitoring to solve the aforementioned technical problem of "low coordination efficiency caused by the isolation of intercom function and equipment status monitoring function".

[0005] According to one aspect of the embodiments of this application, this application provides a collaborative method for intercom and device monitoring, including: collecting human voice data and multi-dimensional device status data in an indoor environment, and establishing a full-duplex voice link upon receiving an intercom signal; continuously receiving outdoor voice data transmitted by an outdoor intercom via the full-duplex voice link, and synchronously sending human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time intercom; detecting whether the multi-dimensional device status data meets the warning conditions, and generating a warning command if the multi-dimensional device status data meets the warning conditions; and transmitting the warning command to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of the human voice data.

[0006] Optionally, the multi-dimensional device status data includes device vibration data, environmental noise data, and temperature data of the environment in which the device is located. It also collects human voice data and multi-dimensional device status data in the indoor environment, including: collecting temperature data through a temperature detection device; collecting device vibration data through a vibration detection device; collecting environmental noise data through a noise acquisition microphone; and collecting human voice data through a human voice acquisition microphone, wherein the noise acquisition microphone and the human voice acquisition microphone are integrated into the indoor intercom.

[0007] Optionally, voice data is synchronously sent to an outdoor intercom via a full-duplex voice link, including: acquiring currently collected multi-dimensional device status data; binding the multi-dimensional device status data with the voice data, and using the multi-dimensional device status data as a voice prefix, and transmitting the multi-dimensional device status data and voice data to the outdoor intercom via a full-duplex voice link.

[0008] Optionally, detecting whether multi-dimensional device status data meets the early warning conditions includes: if any dimension of the multi-dimensional device status data meets an abnormal condition, determining that the multi-dimensional device status data meets the first early warning condition, wherein the abnormal condition is that the value of the dimension data is greater than the dimension threshold, and the early warning conditions include the first early warning condition and the second early warning condition; if at least two dimensions of the multi-dimensional device status data simultaneously meet the abnormal conditions, determining that the multi-dimensional device status data meets the second early warning condition.

[0009] Optionally, if the multi-dimensional device status data is determined to meet the first warning condition, the method further includes: if the dimension data that meets the abnormal condition is the temperature data of the environment in which the device is located, then the sampling frequency of the device vibration data is adjusted from the first frequency to the second frequency, and the sampling frequency of the environmental noise data is adjusted from the third frequency to the fourth frequency, wherein the second frequency is higher than the first frequency and the fourth frequency is higher than the third frequency.

[0010] According to another aspect of the embodiments of this application, this application provides a collaborative system for intercom and equipment monitoring, including: an indoor intercom device and an outdoor intercom device, wherein the outdoor intercom device and the indoor intercom device interact in real time via a full-duplex voice link; the indoor intercom device includes an indoor intercom, a temperature detection device, and a vibration detection device, wherein the temperature detection device is used to collect temperature data of the environment in which the device is located, the vibration detection device is used to collect vibration data of the device, the indoor intercom is used to compare and analyze the temperature data, the device vibration data, and the collected environmental noise data, and generate a warning command when the analysis result meets the warning conditions, and send the warning command to the outdoor intercom via the full-duplex voice link; the outdoor intercom device includes an outdoor intercom and a display screen, wherein the outdoor intercom is used to receive the warning command and trigger a warning action corresponding to the warning command, wherein the warning command includes a warning voice and warning data, and the warning action includes playing the warning voice through a speaker and displaying the warning data through the display screen.

[0011] Optionally, the housing of the indoor intercom integrates at least one voice acquisition microphone and at least one noise acquisition microphone. The voice acquisition microphone is used to acquire indoor voice data, and the noise acquisition microphone is used to acquire environmental noise data.

[0012] According to another aspect of the embodiments of this application, this application provides a collaborative device for intercom and device monitoring, including: a data acquisition module, used to acquire human voice data and multi-dimensional device status data in an indoor environment, and establish a full-duplex voice link upon receiving an intercom signal; a receiving module, used to receive outdoor voice data transmitted by an outdoor intercom via the full-duplex voice link, and synchronously send human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time intercom; a detection module, used to detect whether the multi-dimensional device status data meets the warning conditions, and generate a warning command if the multi-dimensional device status data meets the warning conditions; and a transmission module, used to transmit the warning command to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of the human voice data.

[0013] According to another aspect of the embodiments of this application, this application provides an electronic device, including a memory, a processor, a communication interface and a communication bus. The memory stores a computer program that can run on the processor. The memory and the processor communicate with each other through the communication bus and the communication interface. When the processor executes the computer program, it implements the steps of the above method.

[0014] According to another aspect of the embodiments of this application, this application also provides a computer-readable medium having processor-executable non-volatile program code that causes the processor to perform the above-described method.

[0015] Compared with related technologies, the technical solutions provided in this application have the following advantages: This application provides a collaborative method for intercom and equipment monitoring, comprising: collecting human voice data and multi-dimensional equipment status data in an indoor environment, and establishing a full-duplex voice link upon receiving an intercom signal; continuously receiving outdoor voice data transmitted from an outdoor intercom via the full-duplex voice link, and simultaneously sending human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time intercom; detecting whether the multi-dimensional equipment status data meets the warning conditions, and generating a warning command if the multi-dimensional equipment status data meets the warning conditions; and transmitting the warning command to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of human voice data. A unified full-duplex voice link provides a common two-way transmission foundation for intercom and monitoring data, and introduces a real-time warning judgment mechanism based on multi-dimensional equipment status data. Finally, by setting a higher transmission priority for the warning command than the intercom human voice, it ensures that safety alarms can be forcibly and immediately notified to relevant personnel. This solves the problem of low collaborative efficiency caused by the isolation of intercom and equipment status monitoring functions. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of an optional collaborative method for intercom and device monitoring provided according to an embodiment of this application; Figure 2 This is a schematic diagram illustrating an optional intercom and device monitoring interaction according to an embodiment of this application; Figure 3 This is a schematic diagram illustrating the composition of an optional intercom and device monitoring collaborative system according to an embodiment of this application; Figure 4 This is a structural diagram of an optional collaborative system for intercom and device monitoring provided according to an embodiment of this application; Figure 5-a This is a circuit diagram of an optional outdoor intercom device provided according to an embodiment of this application; Figure 5-b This is a circuit diagram of an optional indoor intercom device according to an embodiment of this application; Figure 6 This is a microphone distribution diagram of an optional indoor intercom according to an embodiment of this application; Figure 7 This is a block diagram of an optional intercom and device monitoring collaborative device provided according to an embodiment of this application; Figure 8 This is a schematic diagram of an optional electronic device structure provided in an embodiment of this application. Detailed Implementation

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

[0020] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustration and has no specific meaning in itself. Therefore, "module" and "part" may be used interchangeably.

[0021] In medical examination settings such as radiology departments, communication between the control room and equipment often relies on basic intercom systems, while equipment operating status depends on independent monitoring systems. This approach has significant drawbacks. First, intercom systems are mostly simplex or half-duplex, resulting in poor real-time communication and inefficient command interaction. Second, the intercom function and status monitoring function are isolated, and monitoring data cannot be effectively integrated into the communication process. Operators must switch their attention between different terminals, making it difficult to simultaneously communicate and monitor equipment status, leading to delays in emergency response. Both poor real-time communication and delayed emergency response to malfunctions pose safety risks.

[0022] Therefore, the technical problem of low coordination efficiency caused by the isolation of intercom function and equipment status monitoring function urgently needs to be solved, but no effective solution has been proposed yet.

[0023] To address the problems mentioned in the background art, according to one aspect of the embodiments of this application, a collaborative method for intercom and device monitoring is provided, such as... Figure 1 As shown, it includes: Step 101: Collect human voice data and multi-dimensional device status data in the indoor environment, and establish a full-duplex voice link when an intercom signal is received; Step 102: Continuously receive outdoor voice data transmitted by the outdoor intercom via the full-duplex voice link, and simultaneously send human voice data to the outdoor intercom via the full-duplex voice link to conduct two-way real-time intercom. Step 103: Detect whether the multi-dimensional device status data meets the early warning conditions, and generate an early warning command if the multi-dimensional device status data meets the early warning conditions; Step 104: The warning command is transmitted to the outdoor intercom via a full-duplex voice link, wherein the transmission priority of the warning command is higher than that of human voice data.

[0024] This system unifies the collection of human voice data with multi-dimensional device status data, and enables two-way real-time intercom and monitoring data transmission over the same full-duplex voice link, specifically between indoor and outdoor intercoms. This changes the previously isolated model of intercom and device status monitoring, achieving an architectural integration of communication and monitoring.

[0025] In the embodiments provided in this application, the warning command is generated by detecting whether the multi-dimensional device status data meets the warning conditions. Furthermore, the transmission priority of the warning command is clearly defined to be higher than that of human voice data. This priority setting ensures that under any circumstances, including when a two-way conversation is in progress, the security alarm can be delivered and reminded to the user immediately and forcibly, thereby solving the hidden danger that the alarm information may be overwhelmed by the call.

[0026] As an optional embodiment, the multi-dimensional device status data includes device vibration data, environmental noise data, and temperature data of the environment in which the device is located. The collection of human voice data and multi-dimensional device status data in the indoor environment includes: collecting temperature data through a temperature detection device; collecting device vibration data through a vibration detection device; collecting environmental noise data through a noise acquisition microphone; and collecting human voice data through a human voice acquisition microphone, wherein the noise acquisition microphone and the human voice acquisition microphone are integrated into an indoor intercom.

[0027] By deploying dedicated sensor components in the indoor environment, data of various dimensions are collected in parallel. The multi-dimensional data provided in this application is an example of the current device (examination bed). The data of each dimension are related in the operation monitoring logic of the current device. The multi-dimensional data corresponding to different types of devices may not be the same.

[0028] The temperature data of the environment in which the equipment is located is collected by a temperature detection device, which can be a PT100 platinum resistance thermometer.

[0029] Vibration data of the equipment is collected by a vibration detection device, which can be a triaxial accelerometer.

[0030] Temperature data and equipment vibration data are transmitted to the main control chip MCU (Microcontroller Unit) of the indoor intercom via a wired connection. Environmental noise data and human voice data are directly input to the MCU of the indoor intercom through the corresponding microphones. The MCU processes and packages the received data.

[0031] Data acquisition is performed using dedicated sensors and microphones, which minimizes crosstalk between signals and ensures the accuracy and authenticity of equipment status data (especially noise spectrum).

[0032] As an optional embodiment, voice data is synchronously sent to an outdoor intercom via a full-duplex voice link, including: acquiring currently collected multi-dimensional device status data; binding the multi-dimensional device status data with the voice data, and using the multi-dimensional device status data as a voice prefix, and transmitting the multi-dimensional device status data and voice data to the outdoor intercom via a full-duplex voice link.

[0033] When the indoor intercom is about to send voice data to the outdoor intercom via a full-duplex voice link, the system immediately obtains the latest values ​​of the multi-dimensional device status data collected and processed by various sensors at the current moment, including the latest ambient temperature data, the latest device vibration data, and the latest ambient noise data.

[0034] The latest acquired values ​​are logically bound to the upcoming voice data. For example, the built-in TTS (Text-to-Speech) engine is invoked to synthesize the values ​​of multi-dimensional device status data into a short digital voice stream, which is then used as the voice prefix for this intercom communication.

[0035] Through the established full-duplex voice link, digitized voice data with the voice prefix is ​​transmitted first, followed by continuous transmission of real-time human voice data collected from the indoor environment. At the receiving end (outdoor intercom), these two voice data segments are played continuously. The outdoor personnel first hear the equipment status values, followed by the speech of the indoor personnel, forming a natural and coherent auditory experience.

[0036] The received intercom signal can be automatically generated and sent when the intercom button on the outdoor intercom is pressed.

[0037] It should be noted that the multi-dimensional device data is not sent as a voice prefix every time a voice data segment is transmitted from indoors to outdoors. Instead, the multi-dimensional device data is sent as a voice prefix only each time a two-way conversation is initiated.

[0038] This application strongly correlates the background information (multi-dimensional device status) of intercom communication with the communication content (human voice) on a timeline. By synchronously transmitting the voice prefix on a full-duplex voice link but prioritizing its transmission, key device status is transformed into part of the communication and proactively pushed to outdoor personnel without interrupting the communication process. Outdoor personnel can automatically learn about the key device status at the beginning of communication with indoor personnel, making the communication more targeted and significantly improving collaborative work efficiency and decision-making speed.

[0039] As an optional embodiment, detecting whether multi-dimensional device status data meets the early warning conditions includes: if any dimension of the multi-dimensional device status data meets an abnormal condition, determining that the multi-dimensional device status data meets a first early warning condition, wherein the abnormal condition is that the value of the dimension data is greater than the dimension threshold, and the early warning conditions include a first early warning condition and a second early warning condition; if at least two dimensions of the multi-dimensional device status data simultaneously meet the abnormal conditions, determining that the multi-dimensional device status data meets a second early warning condition.

[0040] Each dimension of equipment status data is monitored independently. The real-time data for each dimension is compared with its preset threshold. If the real-time data value of any dimension exceeds its corresponding threshold, the first warning condition is met, and the first-level warning response is triggered. For example, if only the equipment vibration data exceeds the vibration threshold, while the temperature data and environmental noise data are within the normal range, the first warning condition is met, and the first-level warning is triggered.

[0041] By using independent, parallel single-dimensional threshold comparisons, we ensure that any anomalies can be quickly detected and alerted, enabling a rapid initial response.

[0042] The dimensional thresholds for each dimension of the data are different.

[0043] When at least two different dimensions of data are detected to simultaneously meet their respective abnormal conditions (i.e. both are greater than their respective dimension thresholds), it is determined that the second warning condition is met, and a second-level warning, which is more severe than the first-level warning, is triggered.

[0044] By introducing a correlation rule of simultaneous anomalies across multiple dimensions, the severity of the fault is cross-validated. A single abnormal indicator might be a transient disturbance or a localized problem, while simultaneous anomalies in multiple key indicators significantly increase the probability of a substantial, complex fault in the equipment. Based on this, the triggered second warning condition can more accurately reflect the severity of the problem, thereby triggering higher-level alarms (such as higher-priority voice alerts or more prominent displays) to guide operators to take more urgent measures.

[0045] By distinguishing between the first and second warning conditions, different levels of risk signals can be conveyed to operators. This helps operators quickly determine the priority of handling and optimize resource allocation. For example, the first warning condition can be observed and recorded, while the second warning condition can be immediately intervened or the machine can be shut down for inspection.

[0046] Warning commands take precedence over intercom signals, triggering a synchronized response from indoor and outdoor devices. For example, the outdoor unit's display screen flashes a red alarm icon, and the speaker broadcasts "Abnormal equipment vibration," while the indoor slave unit's buzzer sounds a notification.

[0047] The outdoor unit's broadcast volume is adjustable, making it suitable for noisy industrial environments.

[0048] As an optional embodiment, when it is determined that the multi-dimensional device status data meets the first warning condition, the method further includes: if the dimension data that meets the abnormal condition is the temperature data of the environment in which the device is located, then the sampling frequency of the device vibration data is adjusted from the first frequency to the second frequency, and the sampling frequency of the environmental noise data is adjusted from the third frequency to the fourth frequency, wherein the second frequency is higher than the first frequency and the fourth frequency is higher than the third frequency.

[0049] Once the first warning condition is met, the system first identifies which specific data dimension triggered the condition. For example, it identifies that the temperature data exceeded a preset temperature threshold.

[0050] The monitoring parameters of the equipment in various dimensions can form a chain of interconnected judgments. For example, in a computed tomography (CT) scenario, a bearing failure in the equipment may simultaneously manifest as increased vibration, increased noise levels and abnormal frequency, and rising temperature. In this case, vibration data, noise data, and temperature data form a chain of interconnected judgments.

[0051] For different scenarios, medical and industrial, noise processing logic can be set differently to achieve optimal monitoring results. In medical scenarios, the core objective is to ensure a quiet treatment environment, primarily monitoring the overall noise level (decibels). When the ambient noise exceeds a preset comfort threshold, the system will alert people indoors and outdoors to lower the volume via the intercom system. This is a threshold-based, general alarm designed to improve the acoustic environment. In industrial scenarios, the core objective is predictive maintenance of equipment failures. The system uses a built-in noise spectrum model of the equipment under healthy conditions as a benchmark. It continuously analyzes the spectral characteristics of real-time noise. Once an abnormal shift in the spectrum is detected (e.g., the appearance of high-frequency noise that was not originally present), it indicates that the equipment may have a specific mechanical failure (such as bearing wear). In this case, the system will cross-validate data from multiple dimensions, including vibration and temperature. If an anomaly is confirmed, a high-priority fault warning message will be generated and forcibly broadcast via the intercom channel.

[0052] Based on the identified anomalous dimension data, the monitoring parameters of other logically related dimensions are automatically adjusted. For example, if the anomalous dimension data is temperature data, the sampling frequency of the equipment vibration data is automatically increased from a first frequency (e.g., 100Hz) to a higher second frequency (e.g., 500Hz). At the same time, the sampling frequency of the environmental noise data is increased from a third frequency (e.g., 10Hz) to a higher fourth frequency (e.g., 50Hz).

[0053] When an anomaly occurs in a certain dimension (such as temperature), instead of simply triggering a threshold alarm, it is treated as an event requiring in-depth investigation. This is achieved by increasing the sampling frequency of correlated parameters to obtain more detailed and higher-quality data.

[0054] A higher sampling frequency means that the system can capture more subtle signal changes and richer spectral information. For example, a higher vibration frequency allows for more precise analysis of the vibration characteristics of mechanical components in equipment; a higher noise sampling frequency allows for more detailed spectral analysis, which can help determine the root cause of temperature rise (such as whether it is caused by increased bearing friction).

[0055] Figure 2 The diagram provided in this application illustrates the interaction between intercom and equipment monitoring. As shown in the figure, the intercom system is deeply integrated with equipment status monitoring and fault diagnosis to form a complete closed loop from data acquisition to decision support.

[0056] The slave unit (indoor equipment side) and the master unit (outdoor control side) work together to achieve intercom and equipment monitoring functions. On the slave unit: accelerometers and temperature sensors monitor the physical state of the equipment (vibration, temperature) in real time; an array microphone collects indoor ambient sound and human voices for intercom and noise monitoring. The collected signals are aggregated as signal input for real-time equipment status monitoring. On the master unit: the master unit receives outdoor voice messages through the intercom microphone and plays indoor sounds through the intercom speaker, completing two-way intercom interaction. Simultaneously, the master unit processes and identifies the collected multi-source signals (equipment data, ambient sound) to generate fault codes. These fault codes are sent to the mobile device via a storage and transmission module for operators to view, enabling them to troubleshoot equipment issues.

[0057] This application provides a collaborative method for intercom and equipment monitoring, comprising: collecting human voice data and multi-dimensional equipment status data in an indoor environment, and establishing a full-duplex voice link upon receiving an intercom signal; continuously receiving outdoor voice data transmitted from an outdoor intercom via the full-duplex voice link, and simultaneously sending human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time intercom; detecting whether the multi-dimensional equipment status data meets the warning conditions, and generating a warning command if the multi-dimensional equipment status data meets the warning conditions; and transmitting the warning command to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of human voice data. A unified full-duplex voice link provides a common two-way transmission foundation for intercom and monitoring data, and introduces a real-time warning judgment mechanism based on multi-dimensional equipment status data. Finally, by setting a higher transmission priority for the warning command than the intercom human voice, it ensures that safety alarms can be forcibly and immediately notified to relevant personnel. This solves the problem of low collaborative efficiency caused by the isolation of intercom and equipment status monitoring functions.

[0058] According to another aspect of the embodiments of this application, this application provides a collaborative system for intercom and device monitoring, such as... Figure 3 As shown, it includes: an indoor intercom device 301 and an outdoor intercom device 301, and an outdoor intercom device 302 and an indoor intercom device 301 that interact in real time via a full-duplex voice link.

[0059] The indoor intercom system includes an indoor intercom, a temperature detection device, and a vibration detection device. The temperature detection device collects temperature data of the environment in which the equipment is located, and the vibration detection device collects vibration data of the equipment. The indoor intercom is used to compare and analyze the temperature data, equipment vibration data, and collected environmental noise data. When the analysis results meet the warning conditions, it generates a warning command and sends the warning command to the outdoor intercom via a full-duplex voice link. The outdoor intercom system includes an outdoor intercom and a display screen. The outdoor intercom is used to receive the warning command and trigger the corresponding warning action. The warning command includes a warning voice and warning data, and the warning action includes playing the warning voice through a speaker and displaying the warning data on the display screen.

[0060] Figure 4 The structural diagram of the intercom and equipment monitoring collaborative system provided in this application is shown in the figure. It is divided into two parts: an outside inspection room and an inside inspection room. Outside the inspection room, the intercom system host used by the operator is equipped with a speaker, microphone (with directional pickup angle), intercom buttons, and power supply. Inside the inspection room, the intercom system slave unit, speaker, microphone, temperature acquisition module, and vibration sensor are integrated and installed on the wall next to the inspection bed. The indoor and outdoor equipment are connected via a network cable. This system not only realizes two-way real-time full-duplex voice communication between personnel inside and outside the room, but also simultaneously completes data acquisition and monitoring of the temperature and vibration status of the equipment inside the inspection room, thus deeply integrating the intercom function with equipment status monitoring.

[0061] Figure 5-aThe circuit diagram of the outdoor intercom device provided in this application is shown. The outdoor intercom device circuit serves as the core of the system's human-machine interaction and control. Its signal flow originates from the microphone (MIC) and speaker button (such as the PTT (Push-To-Talk) button) on the user side. The recording indicator light interface indicates the recording status. User voice is amplified by a preamplifier, digitized by an A / D1 converter (Analog-to-Digital Converter), and sent to the CPU (Central Processing Unit) for processing. The CPU simultaneously receives and processes data from the network. The processed digital signal is divided into two paths: one path is converted back to analog audio by a D / A converter (Digital-to-Analog Converter), then driven by a power amplifier to play the audio through a speaker, completing the real-time voice output; the other path is packaged with the encoded voice and control commands via a network port driver circuit and sent to the indoor device through the network port. In addition, the device is powered by a wide voltage power supply module (POWER) of 9~24V. This part of the circuit also integrates a USB (Universal Serial Bus) interface, a storage module and a display screen interface for data exchange, storage and status information display. The display screen can display monitoring data such as indoor temperature and equipment vibration status in real time.

[0062] Figure 5-b This is a circuit diagram of the indoor intercom device provided in this application. The indoor intercom device circuit, while inheriting the basic voice processing capabilities of the outdoor device, integrates multi-dimensional device status monitoring sensor interfaces. Voice input is acquired via a microphone / MICB and processed into digital signals by preamplifier 1 and A / D1 (analog-to-digital converter). Device status monitoring is achieved through independent temperature and vibration sensor interfaces, connecting to corresponding sensors to realize real-time acquisition of environmental physical quantities. All digital signals are fed into a central CPU for unified processing and decision-making. The processed results are output in two ways: audio output drives the speaker via D / A and power amplifier; data and control output are sent to an external system (such as the outdoor host) via a network interface through a network port driver circuit. This architecture integrates dedicated sensor interfaces, demonstrating the hardware foundation for the device to simultaneously perform multi-dimensional environmental monitoring while achieving high-quality intercom.

[0063] Through the distributed collaboration of two smart terminals, one indoor and one outdoor, deep integration and data collaboration of two major functions—full-duplex digital voice communication and multi-dimensional real-time monitoring and intelligent early warning of equipment status—are achieved on the same physical network link, thus forming a complete hardware foundation for a collaborative control system.

[0064] As an optional embodiment, the housing of the indoor intercom integrates at least one voice acquisition microphone and at least one noise acquisition microphone. The voice acquisition microphone is used to acquire indoor voice data, and the noise acquisition microphone is used to acquire environmental noise data.

[0065] At least one human voice microphone and at least one noise microphone are integrated as core audio input components and packaged together in the same housing of the intercom. Both have independent and dedicated signal conditioning paths on the circuit board, ultimately connecting to different input channels of the main control chip.

[0066] The human voice acquisition microphone and the environmental noise acquisition microphone work synchronously and continuously to acquire audio signals respectively.

[0067] The audio signal collected by the human voice acquisition microphone is transmitted to the corresponding interface of the MCU through its dedicated path, while the audio signal collected by the noise acquisition microphone is transmitted to another interface of the MCU through its separate path.

[0068] The MCU independently digitizes and processes the two parallel audio signal streams. The signal from the human voice acquisition microphone is processed and mainly used for full-duplex voice communication, i.e., it is prepared as human voice data to be sent to an outdoor walkie-talkie. The signal from the noise acquisition microphone is processed and used as environmental noise data for equipment status monitoring and analysis (e.g., determining whether the noise level exceeds the standard, analyzing the noise spectrum characteristics, etc.).

[0069] By optimizing sound data with physically independent microphones, clear human voice signals can be obtained simultaneously for communication, as well as high-fidelity, wideband ambient noise raw signals for precise analysis.

[0070] Figure 6 This is a microphone distribution diagram for the indoor intercom provided in this application. The microphones in the diagram are divided into two categories: one is dedicated intercom microphones (No. 1 and No. 2, the intercom main control chip has a voice recognition algorithm, when a voice is recognized, it collects voice data for intercom, and the number of microphones can be increased or decreased according to equipment requirements); the other is dedicated noise acquisition microphones (No. 3, 4, 5, and 6 are dedicated noise acquisition microphones, which detect ambient noise in real time, and the number of microphones can be increased or decreased according to equipment requirements). When monitoring noise data, short-term interference is filtered out through algorithms (such as accidental collision sounds, if the sound lasts for more than 1 second, it is identified as abnormal noise) to ensure the validity of the noise data.

[0071] The outdoor and indoor intercom systems use network cable transmission, employing Category 6 double-shielded network cable (a double-shielded structure of aluminum foil and braided mesh) to construct a highly reliable physical link, adaptable to the strong interference environments of medical and industrial settings. At the protocol layer, the intercom audio uses G.711 encoding (64kbps) to ensure smooth voice communication, while sensor data is encapsulated in JSON format to ensure structured readability. Both systems share the same channel and achieve reliable transmission via TCP (Transmission Control Protocol) / IP (Internet Protocol) protocols, ensuring a packet loss rate of <0.1%. This provides a communication foundation that combines anti-interference, real-time performance, and reliability for full-duplex real-time intercom and multi-dimensional monitoring data synchronization.

[0072] Through time-division multiplexing, analog voice signals (outdoor / indoor bidirectional) and digital monitoring signals (temperature data, equipment vibration data, environmental noise data) are alternately transmitted on the same network cable, and mutual interference between analog and digital signals is avoided through signal isolation circuits.

[0073] The system is powered by a unified power supply module with overcurrent and overvoltage protection. This module converts the input AC 220V mains power into a stable DC 12V voltage and can provide a maximum current output of 5A. This single power supply provides centralized power to the outdoor intercom equipment (main unit), the indoor intercom equipment (slave unit), and all sensors (temperature, vibration, etc.). The system's total power consumption is designed to be less than 60W (approximately 30W for the main unit, 30W for the slave units, and 5W for the sensors), ensuring stability within the rated power range of the power supply module.

[0074] The unified power supply module integrates real-time safety monitoring circuitry. Overcurrent protection continuously monitors the output current. When the output current exceeds the 6A safety threshold (e.g., due to a short circuit or malfunction), the protection circuit automatically cuts off the output to prevent equipment damage and fire risks. Overvoltage protection continuously monitors the output voltage. When an internal module fault causes the output voltage to abnormally rise above 15V, a fuse mechanism is triggered, completely disconnecting the circuit and protecting all downstream electronic equipment from overvoltage surges.

[0075] The unified power supply module is equipped with a backup power interface. In the event of a normal mains power outage, it can automatically and seamlessly switch to an external 12V lithium battery (or other DC power supply). The design capacity of this backup power supply can ensure that the entire system (including intercom, data acquisition, transmission and early warning functions) continues to operate normally for at least 30 minutes after a mains power outage, effectively avoiding the loss of monitoring data and communication interruption caused by short power outages.

[0076] According to another aspect of the embodiments of this application, this application provides a collaborative device for intercom and device monitoring, such as... Figure 7 As shown, it includes: The acquisition module 701 is used to acquire human voice data and multi-dimensional device status data in the indoor environment, and to establish a full-duplex voice link when an intercom signal is received. The receiving module 702 is used to receive outdoor voice data transmitted by the outdoor intercom via a full-duplex voice link, and to simultaneously send human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time communication. The detection module 703 is used to detect whether the multi-dimensional device status data meets the warning conditions, and generate a warning command when the multi-dimensional device status data meets the warning conditions. The transmission module 704 is used to transmit warning commands to an outdoor intercom via a full-duplex voice link, wherein the transmission priority of the warning commands is higher than that of human voice data.

[0077] It should be noted that the acquisition module 701 in this embodiment can be used to execute step 101 in this application embodiment, the receiving module 702 in this embodiment can be used to execute step 102 in this application embodiment, the detection module 703 in this embodiment can be used to execute step 103 in this application embodiment, and the transmission module 704 in this embodiment can be used to execute step 104 in this application embodiment.

[0078] Optionally, the multi-dimensional device status data includes device vibration data, environmental noise data, and temperature data of the environment in which the device is located. The acquisition module 701 is specifically used to acquire temperature data through a temperature detection device; acquire device vibration data through a vibration detection device; acquire environmental noise data through a noise acquisition microphone; and acquire human voice data through a human voice acquisition microphone. The noise acquisition microphone and the human voice acquisition microphone are integrated into the indoor intercom.

[0079] Optionally, the receiving module 702 is specifically used to acquire the currently collected multi-dimensional device status data; bind the multi-dimensional device status data with human voice data, and use the multi-dimensional device status data as a voice prefix to transmit the multi-dimensional device status data and human voice data to the outdoor intercom via a full-duplex voice link.

[0080] Optionally, the detection module 703 is specifically used to determine that the multi-dimensional device status data meets a first warning condition when any dimension of the multi-dimensional device status data meets an abnormal condition, wherein the abnormal condition is that the value of the dimension data is greater than the dimension threshold, and the warning condition includes a first warning condition and a second warning condition; when at least two dimensions of the multi-dimensional device status data simultaneously meet the abnormal condition, the multi-dimensional device status data is determined to meet a second warning condition.

[0081] Optionally, the device further includes an adjustment module, which, when the multi-dimensional device status data is determined to meet the first warning condition, if the dimension data that meets the abnormal condition is the temperature data of the environment in which the device is located, adjusts the sampling frequency of the device vibration data from the first frequency to the second frequency, and adjusts the sampling frequency of the environmental noise data from the third frequency to the fourth frequency, wherein the second frequency is higher than the first frequency and the fourth frequency is higher than the third frequency.

[0082] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments.

[0083] According to another aspect of the embodiments of this application, this application provides an electronic device, such as... Figure 8 As shown, it includes a memory 801, a processor 803, a communication interface 805, and a communication bus 807. The memory 801 stores a computer program that can run on the processor 803. The memory 801 and the processor 803 communicate through the communication interface 805 and the communication bus 807. When the processor 803 executes the computer program, it implements the steps of the above method.

[0084] The memory and processor in the aforementioned electronic devices communicate with each other via a communication bus and a communication interface. The communication bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0085] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0086] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0087] According to another aspect of the embodiments of this application, a computer-readable medium having processor-executable non-volatile program code is also provided.

[0088] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated here.

[0089] In specific implementation, the embodiments of this application can be referred to the above embodiments and have corresponding technical effects.

[0090] It is understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or combinations thereof.

[0091] For software implementation, the techniques described herein can be implemented by units that perform the functions described herein. The software code can be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

[0092] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0093] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0094] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0097] If the aforementioned function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. In the absence of further restrictions, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0098] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A collaborative method for intercom and equipment monitoring, characterized in that, include: Collect human voice data and multi-dimensional device status data in the indoor environment, and establish a full-duplex voice link when an intercom signal is received; It continuously receives outdoor voice data transmitted by the outdoor intercom via the full-duplex voice link, and synchronously sends the human voice data to the outdoor intercom via the full-duplex voice link to conduct two-way real-time intercom. Detect whether the multi-dimensional device status data meets the warning conditions, and generate a warning command if the multi-dimensional device status data meets the warning conditions; The warning command is transmitted to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of the human voice data.

2. The method according to claim 1, characterized in that, The multi-dimensional device status data includes device vibration data, environmental noise data, and temperature data of the environment in which the device is located. The collection of human voice data and multi-dimensional device status data in the indoor environment includes: The temperature data is collected using a temperature detection device; Vibration data of the equipment is collected using a vibration detection device; The environmental noise data is collected using a noise acquisition microphone; The human voice data is collected by a human voice acquisition microphone, wherein the noise acquisition microphone and the human voice acquisition microphone are integrated into an indoor intercom.

3. The method according to claim 1, characterized in that, The step of synchronously sending the human voice data to the outdoor intercom via the full-duplex voice link includes: Obtain the currently collected multi-dimensional device status data; The multi-dimensional device status data is bound to the human voice data, and the multi-dimensional device status data is used as a voice prefix. The multi-dimensional device status data and the human voice data are transmitted to the outdoor intercom through the full-duplex voice link.

4. The method according to claim 2, characterized in that, The detection of whether the multi-dimensional device status data meets the early warning conditions includes: If any dimension of the multi-dimensional device status data meets an abnormal condition, the multi-dimensional device status data is determined to meet a first warning condition. The abnormal condition is that the value of the dimension data is greater than the dimension threshold. The warning condition includes the first warning condition and the second warning condition. When at least two of the dimensions of the multi-dimensional device status data simultaneously meet the abnormal conditions, the multi-dimensional device status data is determined to meet the second warning condition.

5. The method according to claim 4, characterized in that, If the multi-dimensional device status data is determined to meet the first warning condition, the method further includes: If the dimension data that satisfies the abnormal condition is the temperature data of the environment in which the device is located, then the sampling frequency of the device vibration data is adjusted from the first frequency to the second frequency, and the sampling frequency of the environmental noise data is adjusted from the third frequency to the fourth frequency, wherein the second frequency is higher than the first frequency, and the fourth frequency is higher than the third frequency.

6. A collaborative control system for intercom and equipment monitoring, characterized in that, include: The indoor intercom system and the outdoor intercom system interact in real time via a full-duplex voice link. The indoor intercom equipment includes an indoor intercom, a temperature detection device, and a vibration detection device. The temperature detection device is used to collect temperature data of the environment in which the equipment is located. The vibration detection device is used to collect vibration data of the equipment. The indoor intercom is used to compare and analyze the temperature data, the equipment vibration data, and the collected environmental noise data. When the analysis results meet the warning conditions, a warning command is generated, and the warning command is sent to the outdoor intercom via the full-duplex voice link. The outdoor intercom device includes an outdoor intercom and a display screen. The outdoor intercom is used to receive the warning command and trigger the warning action corresponding to the warning command. The warning command includes a warning voice and warning data. The warning action includes playing the warning voice through a speaker and displaying the warning data through the display screen.

7. The system according to claim 6, characterized in that, The indoor intercom housing integrates at least one human voice acquisition microphone and at least one noise acquisition microphone. The human voice acquisition microphone is used to acquire human voice data in the room, and the noise acquisition microphone is used to acquire environmental noise data.

8. A collaborative device for intercom and equipment monitoring, characterized in that, include: The acquisition module is used to collect human voice data and multi-dimensional device status data in the indoor environment, and to establish a full-duplex voice link when an intercom signal is received. The receiving module is used to receive outdoor voice data transmitted by the outdoor intercom via the full-duplex voice link, and to synchronously send the human voice data to the outdoor intercom via the full-duplex voice link for two-way real-time communication. The detection module is used to detect whether the multi-dimensional device status data meets the warning conditions, and generate a warning command if the multi-dimensional device status data meets the warning conditions. A transmission module is used to transmit the warning command to the outdoor intercom via the full-duplex voice link, wherein the transmission priority of the warning command is higher than that of the human voice data.

9. An electronic device comprising a memory, a processor, a communication interface, and a communication bus, wherein the memory stores a computer program executable on the processor, and the memory and the processor communicate via the communication bus and the communication interface, characterized in that... When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

10. A computer-readable medium having processor-executable non-volatile program code, characterized in that, The program code causes the processor to execute the method of any one of claims 1 to 5.

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