A passive cable trench intelligent electronic cover system and method for multi-mode communication

Abstract

The application provides a passive cable trench intelligent electronic cover plate system for multi-mode communication and a control method, and relates to the technical field of safety monitoring of urban underground power facilities. The system comprises a cover plate body, a main controller, a sensing unit, a multi-mode communication unit, a video acquisition unit, a fire extinguisher actuating mechanism and an energy management device. The main controller is arranged on the cover plate body. The sensing unit is connected with the main controller and comprises a temperature and humidity sensor, a pyrolysis particle sensor and a water immersion sensor. The multi-mode communication unit is connected with the main controller and comprises a Bluetooth module, a LoRa module and a WAPI module. The video acquisition unit and the fire extinguisher actuating mechanism are both connected with the main controller. The cover plate body, the main controller, the sensing unit, the multi-mode communication unit, the video acquisition unit and the fire extinguisher actuating mechanism are all connected with the energy management device. The energy management device system comprises a solar photovoltaic panel, a lithium iron phosphate battery and a power management module.

Description

Technical Field

[0001] This invention relates to the field of safety monitoring technology for urban underground power facilities, and in particular to a multi-mode communication-based intelligent electronic cover system and method for passive cable trenches. Background Technology

[0002] Cable trenches are critical channels for urban power transmission, and the safety of their internal environment is paramount. High temperatures, humidity, water accumulation, and potential fire risks are all closely related to cable lifespan and power supply safety. Achieving real-time and reliable monitoring of these underground power facilities is an important development direction for improving the intelligent operation and maintenance level of urban power networks and ensuring power supply continuity.

[0003] In recent years, intelligent monitoring technology has made positive progress in this field. By employing wireless communication technology to report key parameters such as temperature and water level, existing solutions can achieve remote sensing of the environmental status of cable trenches. These technological explorations provide an effective path for the transformation from traditional manual inspection to automated monitoring and have accumulated valuable engineering experience.

[0004] However, existing solutions still have room for improvement in terms of functional integration and system energy efficiency. Specifically, the functional focus is relatively singular, and there is a need for further coordination between continuous video monitoring capabilities and long-term system battery life. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the purpose of this invention is to provide a multi-mode communication passive cable trench intelligent electronic cover system, which can solve the technical problems that there is still room for improvement in terms of functional integration and system energy efficiency coordination, specifically the relatively single functional focus, and the need for further coordination between continuous video monitoring capability and long-term system battery life.

[0006] The technical solutions provided by the embodiments of the present invention are as follows: First aspect The present invention provides a multi-mode communication passive cable trench intelligent electronic cover system, characterized in that it includes: a cover body, a main controller, a sensing unit, a multi-mode communication unit, a video acquisition unit, a fire extinguisher actuator, and an energy management device; The main controller is located on the cover plate body; The sensing unit is connected to the main controller and includes a temperature and humidity sensor, a pyrolysis particle sensor, and a water immersion sensor. The multi-mode communication unit is connected to the main controller. The multi-mode communication unit includes a Bluetooth module, a LoRa module, and a WAPI module. Both the video acquisition unit and the fire extinguisher actuator are connected to the main controller; The cover plate body, main controller, sensing unit, multi-mode communication unit, video acquisition unit, and fire extinguisher actuator are all connected to the energy management device; The energy management device includes solar photovoltaic panels, lithium iron phosphate batteries, and a power management module, which provides power to the main controller, sensing unit, multi-mode communication unit, video acquisition unit, and fire extinguisher actuator.

[0007] Second aspect An embodiment of the present invention provides a control method applied to a passive cable trench intelligent electronic cover system for multimode communication in the first aspect, comprising: S1: Real-time acquisition of monitoring data from the sensing unit under normal monitoring mode; S2: Input the monitoring data into the main controller, and calculate the fire risk level through the fire risk comprehensive assessment algorithm; S3: Determine whether the fire risk level is greater than the preset alarm level or whether the water immersion sensor has triggered an alarm; if so, proceed to S4; otherwise, return to S1. S4: Send alarm signals to the monitoring center via the LoRa module; S5: Based on the event type and fire risk level, activate the high-power module, which includes the WAPI module and the video acquisition unit; S6: Transmit the video data acquired by the video acquisition unit to the monitoring center via the WAPI module; S7: During video data transmission, determine whether the fire risk level is greater than the preset emergency level; if so, activate the fire extinguisher actuator; otherwise, do not activate the fire extinguisher actuator. S8: When video data transmission is complete and monitoring data returns to normal, shut down the high-power module and return to normal monitoring mode.

[0008] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: In this embodiment of the invention, by fusing and analyzing monitoring data from sensor units and combining it with a comprehensive fire risk assessment algorithm to calculate the risk level, the limitations of single-parameter monitoring are overcome, achieving intelligent early warning through multi-parameter fusion. A "on-demand start" high-power module strategy is adopted, maintaining low-power monitoring and communication under normal conditions, and only activating the WAPI module and video acquisition unit when the risk level is reached or water immersion is triggered, completing evidence collection and enabling coordinated fire suppression. Through precise energy scheduling, energy consumption is optimized while ensuring uninterrupted core monitoring, effectively coordinating video surveillance needs with long-term battery life, and improving the intelligence and reliability of cable trench safety monitoring. Attached Figure Description

[0009] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0010] Figure 1 This is a schematic diagram of the structure of a passive cable trench intelligent electronic cover system with multi-mode communication provided in an embodiment of the present invention. Detailed Implementation

[0011] To enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0012] The following detailed description, in conjunction with the accompanying drawings, of the multi-mode communication passive cable trench intelligent electronic cover system provided by the present invention through specific embodiments and application scenarios, will be provided in detail.

[0013] Reference manual attached Figure 1 The diagram shows a structural schematic of a passive cable trench intelligent electronic cover system for multimode communication provided by an embodiment of the present invention.

[0014] This invention provides a multi-mode communication passive cable trench intelligent electronic cover system, including: a cover body, a main controller, a sensing unit, a multi-mode communication unit, a video acquisition unit, a fire extinguisher actuator, and an energy management device.

[0015] The main controller is the core processing unit of the system; the sensing unit is a collection of modules used to collect environmental parameters; the multi-mode communication unit is a module that integrates multiple wireless communication technologies; the video acquisition unit is a module used to acquire on-site video; the fire extinguisher actuator is a device that performs fire extinguishing actions under control; and the energy management system is a power supply unit that provides electrical energy to all components of the system.

[0016] The main controller is located on the cover plate body.

[0017] The sensing unit is connected to the main controller and includes a temperature and humidity sensor, a pyrolysis particle sensor, and a water immersion sensor.

[0018] The multi-mode communication unit is connected to the main controller and includes a Bluetooth module, a LoRa module, and a WAPI module.

[0019] Both the video acquisition unit and the fire extinguisher actuator are connected to the main controller.

[0020] The cover plate body, main controller, sensing unit, multi-mode communication unit, video acquisition unit, and fire extinguisher actuator are all connected to the energy management device.

[0021] The energy management device includes solar photovoltaic panels, lithium iron phosphate batteries, and a power management module, which provides power to the main controller, sensing unit, multi-mode communication unit, video acquisition unit, and fire extinguisher actuator.

[0022] It should be noted that by placing the main controller on the cover body, the system structure is integrated and protected. Connecting a sensing unit containing multiple types of sensors provides the hardware foundation for comprehensive environmental monitoring. Connecting a multi-mode communication unit integrating Bluetooth, LoRa, and WAPI provides flexible options for different communication needs (near-field configuration, remote signaling, and high-speed video). Connecting the video acquisition unit and the fire extinguisher actuator lays the foundation for on-site evidence collection and proactive response functions. An energy management system provides power to all modules, especially the combination of solar energy and batteries, providing fundamental assurance for long-term passive operation in environments without mains power. These components, through their interconnections, together constitute a fully functional, self-sustaining intelligent monitoring system.

[0023] In one possible implementation, the configuration of the main controller specifically includes: Real-time environmental status data is obtained based on temperature and humidity sensors, pyrolysis particle sensors, and water immersion sensors.

[0024] The environmental status data includes temperature, humidity, pyrolysis particle concentration, and water immersion status.

[0025] Based on environmental condition data, the fire risk level is calculated using a comprehensive fire risk assessment algorithm.

[0026] Specifically, the comprehensive fire risk assessment algorithm calculates the risk value by integrating three core data points: temperature, humidity, and pyrolysis particle concentration. in, R Indicates the risk value. α This represents the weighting coefficient for the temperature parameter. T Indicates real-time temperature. T 0 represents the temperature reference value. Indicates the weighting factor for humidity changes. β This represents the weighting coefficient for the humidity parameter.H Indicates real-time humidity. H 0 represents the baseline humidity value. Indicates the weighting factor for humidity changes. c This represents the weighting coefficient of the smoke concentration parameter. C Indicates the concentration of pyrolysis particles. C 0 represents the baseline value for pyrolysis particle concentration.

[0027] It should be noted that, α , β , c These are the weighting coefficients for each parameter, and the sum of the three is 1.

[0028] For example, setting a temperature reference value T 0 = 25℃, humidity baseline value H 0 = 60%RH, baseline value for pyrolysis particle concentration C 0 = 0.05%obs / m, temperature change weighting factor Weighting factor for humidity change All are 10, weighting coefficient α =0.5、 β =0.2、 c =0.3, if the real-time temperature after filtering T =35℃, Real-time humidity H =70%RH, pyrolysis particle concentration C =0.1%obs / m, then the risk value R =0.5*(35-25) / 10+0.2*(70-60) / 10+0.3*(0.1 / 0.05)=0.5+0.2+0.6=1.3.

[0029] Furthermore, risk value R The algorithm will directly serve as the basis for determining the fire risk level. It completes the level mapping through a preset threshold range, providing quantitative support for subsequent emergency response.

[0030] It should be noted that those skilled in the art can set the size of the preset threshold range according to actual needs, and this invention does not limit it.

[0031] Determine if the fire risk level exceeds the preset alarm level or if the water immersion sensor has triggered an alarm. If so, enter event response mode and transmit real-time video data. Otherwise, maintain normal monitoring mode and do not perform alarm, video transmission, or fire suppression activation operations.

[0032] The preset alarm level is the risk threshold that triggers the alarm signaling and activates the WAPI module and video acquisition unit.

[0033] It should be noted that those skilled in the art can set the preset alarm level according to actual needs, and this invention does not limit this.

[0034] In one possible implementation, the event response pattern is specifically as follows: When the fire risk level is greater than the preset alarm level but less than the preset emergency level, an alarm signal is sent via the LoRa module, and the WAPI module and video acquisition unit are activated to transmit real-time video data. When the fire risk level is greater than or equal to the preset emergency level, the fire extinguisher actuator is activated simultaneously while transmitting real-time video data.

[0035] Among them, the preset emergency level is a higher risk threshold that further activates the fire extinguisher actuator after the basic emergency response has been triggered.

[0036] It should be noted that those skilled in the art can set the preset emergency level according to actual needs, and this invention does not limit that.

[0037] After real-time video data transmission is completed and environmental parameters return to normal, the system returns to normal monitoring mode by shutting down the WAPI module and video acquisition unit.

[0038] It should be noted that the above configuration achieves dynamic and quantitative risk assessment through continuous data collection and intelligent algorithm calculation. Through composite condition judgment, it enables precise and automatic switching from normal to emergency mode. By sequentially executing low-power alarms, on-demand video evidence collection, and tiered fire suppression during the response, it ensures the completeness and timeliness of emergency handling. Through post-event state recovery, it ensures the system can promptly return to low-power operation, thus achieving synergistic optimization of safety monitoring and long-term battery life.

[0039] It should be noted that the main controller adaptively adjusts the video transmission duration based on the type of alarm event.

[0040] The alarm event types include fire risk alarms and water immersion alarms. Risk value. R This is a quantitative value calculated using a comprehensive fire risk assessment algorithm.

[0041] Specifically, for fire risk alarms, the video transmission duration and risk value are related. R Positive correlation, minimum duration not less than 60 seconds. For water immersion alarms, the fixed transmission duration is 30 seconds.

[0042] Specifically, for fire risk alarms, the video transmission duration and risk value are related. R Positive correlation refers to the transmission duration varying with the risk value. R The duration increases and is extended, while adhering to the minimum requirement of 60 seconds.

[0043] For example, if a fire risk value is calculated using an algorithm... R =0.8 (not reaching the emergency threshold), then the video transmission duration = max(60, 0.8 × 40) = 60 seconds, which meets the minimum duration requirement. If the risk value... R If the risk value is 1.5 (reaching the emergency threshold), the video transmission time will still be 60 seconds. R If the value is 2.0, the transmission time is 2.0 × 40 = 80 seconds, which is higher than the minimum duration, thus meeting the requirement to extend the evidence collection time as the risk increases. The water immersion alarm, however, operates on a fixed transmission time of 30 seconds, requiring no additional calculation.

[0044] It should be noted that this adaptive adjustment strategy allocates resources differently based on the nature and urgency of different events. For continuously evolving fire risks, extending the video evidence collection time helps capture changes in the on-site situation, providing more sufficient evidence for decision-making. For flooding incidents, a fixed duration is sufficient to confirm the on-site situation. This strategy meets the evidence collection needs of different scenarios while avoiding the ineffective long-term operation of video units, further optimizing energy consumption.

[0045] In one possible implementation, the Bluetooth module is used to communicate wirelessly with a mobile terminal app to enable system parameter configuration, real-time data query, historical data download, and firmware upgrade.

[0046] Among them, the Bluetooth module refers to the hardware unit that supports Bluetooth Low Energy communication, and the mobile terminal App is the supporting application installed on smartphones and other devices.

[0047] It should be noted that by providing a near-field interaction channel through the Bluetooth module, on-site maintenance personnel can easily complete equipment debugging, status verification, data export, and software maintenance, realizing flexible system configuration and efficient operation and maintenance, enhancing system maintainability and user experience, while avoiding the additional power consumption caused by enabling long-distance communication modules for these non-urgent tasks.

[0048] In one possible implementation, the power management module has multiple independent and controllable output channels to power the sensing unit, the main controller, the communication unit, and the video acquisition unit.

[0049] Among them, the power management module is a hardware circuit responsible for power distribution and management, and multiple independent and controllable output channels refer to multiple power supply branches that can be individually controlled by the main controller.

[0050] It should be noted that, yes, the power management module can wake up only the necessary modules in event response mode to reduce overall power consumption.

[0051] It should be noted that this power supply architecture provides the hardware foundation for the core strategy of on-demand startup, enabling the main controller to perform precise power gating on high-power modules (such as WAPI modules and video acquisition units), ensuring that they are completely powered off under normal conditions and only briefly woken up during event response. This greatly reduces the system's standby power consumption and ineffective power consumption, and is one of the key design features to ensure the system achieves ultra-long battery life.

[0052] An embodiment of the present invention provides a control method applied to a passive cable trench intelligent electronic cover system for multimode communication in the first aspect, comprising: S1: Real-time acquisition of monitoring data from the sensing unit under normal monitoring mode.

[0053] Among them, the normal monitoring mode refers to the regular working mode in which the system maintains low power consumption and only ensures the core monitoring functions, and the sensing unit refers to the component used to collect relevant environmental data in the cable trench.

[0054] Optionally, S1 also includes periodic self-checks performed in normal monitoring mode.

[0055] Among them, periodic self-check refers to the self-diagnosis and status assessment process that the system automatically executes at fixed time intervals.

[0056] It should be noted that by periodically and automatically checking the status of sensors and batteries, potential faults or performance degradation can be detected in advance, improving the reliability and maintainability of the system. At the same time, scheduling self-checks during low-load periods and reporting the results via LoRa avoids interference with the main monitoring functions, thus realizing intelligent operation and maintenance management.

[0057] Optionally, the periodic self-inspection performed under the normal monitoring mode specifically includes: During preset low-load periods, a self-test process is initiated through the main controller.

[0058] The preset low-load period refers to the time interval set according to the system operation status, where the monitoring task is relatively light.

[0059] Based on the self-test process, a calibration operation is performed on the sensing unit.

[0060] The calibration operation refers to the process of adjusting the sensor output value to conform to the standard reference value.

[0061] Assess the battery's health based on the calibration results.

[0062] Among them, battery health refers to indicators that reflect the current performance status of the battery, such as capacity and internal resistance.

[0063] The self-test data, including calibration results and health status, is sent to the monitoring center via the LoRa module.

[0064] It should be noted that by specifying the self-test process into sequentially executable operations, the orderly inspection and quantitative evaluation of the status of key components (sensors, batteries) are achieved. Furthermore, the results are centrally reported via low-power LoRa communication, providing data support for remote operation and maintenance, enabling transparent management of system status, and further ensuring long-term operational stability.

[0065] S2: Input the monitoring data into the main controller, and calculate the fire risk level through the fire risk comprehensive assessment algorithm.

[0066] Among them, the main controller refers to the core control component of the system, the fire risk comprehensive assessment algorithm refers to the algorithm that integrates multi-dimensional monitoring data to calculate the risk, and the fire risk level refers to the classification result that reflects the degree of fire hazard in the cable trench.

[0067] In one possible implementation, S2 specifically includes sub-steps S201 to S203: S201: Perform a moving average filtering operation on the temperature, humidity and pyrolysis particle concentration values ​​in the monitoring data.

[0068] Among them, the moving average filtering operation refers to a data preprocessing method that takes the average value of a series of continuous data points to smooth out random fluctuations and highlight trends.

[0069] S202: Based on the filtered temperature, humidity, and pyrolysis particle concentration values, the fire risk value is calculated using a comprehensive fire risk assessment algorithm.

[0070] Among them, the fire risk value is a specific numerical value used to quantify the degree of risk, calculated through an algorithmic formula.

[0071] S203: Map the fire risk value to the corresponding fire risk level and output the fire risk level.

[0072] It should be noted that the filtering preprocessing in S201 effectively suppresses transient noise interference in environmental data acquisition, providing more stable and reliable input data for risk assessment. Furthermore, S202 and S203 achieve a clear transformation process from raw data to quantified risk values ​​and then to tiered judgments, making the risk assessment process more accurate and controllable, and providing a solid foundation for subsequent intelligent decision-making.

[0073] S3: Determine if the fire risk level is greater than the preset alarm level or if the water immersion sensor has triggered an alarm. If yes, proceed to S4. Otherwise, return to S1.

[0074] Among them, the preset alarm level refers to the risk threshold that triggers the alarm response, and the water immersion sensor refers to the component used to detect water accumulation in the cable trench.

[0075] In this embodiment of the invention, this step implements dual trigger condition determination, which ensures that both fire risk and water immersion hazard can be captured in a timely manner, and maintains continuous monitoring through otherwise return logic to avoid response delay.

[0076] S4: Send alarm signals to the monitoring center via the LoRa module.

[0077] Among them, LoRa module refers to low-power long-distance communication component, alarm signaling refers to signal data that transmits alarm information, and monitoring center refers to platform that remotely receives and processes alarm information.

[0078] In this embodiment of the invention, this step utilizes a low-power communication module to quickly report alarm information, taking into account both communication distance and energy consumption control, to ensure that the remote end is aware of potential hazards in a timely manner.

[0079] S5: Based on the event type and fire risk level, activate the high-power module, which includes the WAPI module and the video acquisition unit.

[0080] Among them, the high-power module refers to the working mode of activating high-energy-consuming functional components, the WAPI module refers to the high-speed data transmission and communication component, and the video acquisition unit refers to the component that acquires on-site images.

[0081] In this embodiment of the invention, the step adopts an on-demand startup strategy to avoid continuous operation of high-power components and effectively balance emergency evidence collection needs with system battery life.

[0082] S6: The video data acquired by the video acquisition unit is transmitted to the monitoring center via the WAPI module.

[0083] Among them, video data refers to real-time video data captured by the video acquisition unit inside the cable trench.

[0084] In this embodiment of the invention, this step enables real-time video transmission through a high-speed communication module, providing the monitoring center with an intuitive view of the scene and helping the remote end to accurately judge potential hazards and formulate response plans.

[0085] S7: During video data transmission, determine whether the fire risk level is greater than the preset emergency level. If so, activate the fire extinguisher actuator. Otherwise, do not activate the fire extinguisher actuator.

[0086] Among them, the preset emergency level refers to the risk threshold that triggers fire extinguishing operations, and the fire extinguisher actuator refers to the component used to carry out fire extinguishing operations.

[0087] In this embodiment of the invention, this step enables tiered emergency response, avoids blindly initiating firefighting operations, and improves the accuracy and rationality of emergency response.

[0088] S8: When video data transmission is complete and monitoring data returns to normal, shut down the high-power module and return to normal monitoring mode.

[0089] In this embodiment of the invention, this step promptly terminates the high-power operation state and restores low-power normal monitoring, which not only ensures the integrity of event handling but also minimizes ineffective energy consumption, guarantees the long-term battery life of the system, and forms a complete closed loop of monitoring-response-recovery.

[0090] This invention provides a multi-mode communication passive cable trench intelligent electronic cover system 20, including: a processor 201 and a memory 202; The memory 202 stores programs or instructions that can run on the processor 201. When the program or instructions are executed by the processor 201, they implement the steps of the above-described multi-mode communication passive cable trench intelligent electronic cover system and achieve the same technical effect. To avoid repetition, the present invention will not elaborate further.

[0091] It should be understood that the processor 201 in this embodiment of the invention may be a central processing unit (CPU), or it may be other general-purpose processors, 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, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0092] It should also be understood that the memory 202 in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DR RAM).

[0093] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0094] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0095] 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 systems to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention.

[0096] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing system embodiments, and will not be repeated here.

[0097] In the embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and systems can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0098] 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.

[0099] In addition, the functional units in the various embodiments of the present invention 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.

[0100] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a portion 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 system described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0101] This invention provides a readable storage medium comprising: storing a program or instructions on the readable storage medium, wherein when the program or instructions are executed by a processor, the program or instructions implement the steps of the above-described multi-mode communication passive cable trench intelligent electronic cover system, and can achieve the same technical effect. To avoid repetition, this invention will not elaborate further.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, and are not intended to limit them. 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 do 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. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the protection scope of the present invention.

Claims

1. A passive cable trench intelligent electronic cover system with multi-mode communication, characterized in that, include: The cover plate body, main controller, sensing unit, multi-mode communication unit, video acquisition unit, fire extinguisher actuator, and energy management device; The main controller is mounted on the cover plate body; The sensing unit is connected to the main controller, and the sensing unit includes a temperature and humidity sensor, a pyrolysis particle sensor, and a water immersion sensor. The multi-mode communication unit is connected to the main controller, and the multi-mode communication unit includes a Bluetooth module, a LoRa module, and a WAPI module. Both the video acquisition unit and the fire extinguisher actuator are connected to the main controller. The cover plate body, the main controller, the sensing unit, the multi-mode communication unit, the video acquisition unit, and the fire extinguisher actuator are all connected to the energy management device; The energy management device includes a solar photovoltaic panel, a lithium iron phosphate battery, and a power management module, which provides power to the main controller, sensing unit, multi-mode communication unit, video acquisition unit, and fire extinguisher actuator.

2. The multi-mode communication passive cable trench intelligent electronic cover system according to claim 1, characterized in that, The configuration of the main controller specifically includes: Based on the temperature and humidity sensor, the pyrolysis particle sensor, and the water immersion sensor, real-time environmental status data is obtained. Based on the environmental status data, the fire risk level is calculated using the fire risk comprehensive assessment algorithm. Determine whether the fire risk level is greater than the preset alarm level or whether the water immersion sensor has triggered an alarm; if so, enter the event response mode and transmit real-time video data; otherwise, maintain the normal monitoring mode and do not perform alarm, video transmission, or fire extinguishing activation operations. After the real-time video data transmission is completed and the environmental parameters return to normal, the system returns to normal monitoring mode by shutting down the WAPI module and the video acquisition unit.

3. The multi-mode communication passive cable trench intelligent electronic cover system according to claim 2, characterized in that, The event response mode is specifically as follows: When the fire risk level is greater than the preset alarm level but less than the preset emergency level, an alarm signal is sent through the LoRa module, and the WAPI module and the video acquisition unit are activated to transmit real-time video data. When the fire risk level is greater than or equal to the preset emergency level, the fire extinguisher actuator is activated simultaneously while transmitting the real-time video data.

4. The multi-mode communication passive cable trench intelligent electronic cover system according to claim 1, characterized in that, The Bluetooth module is used for wireless communication with the mobile terminal App to enable system parameter configuration, real-time data query, historical data download, and firmware upgrade.

5. The multi-mode communication passive cable trench intelligent electronic cover system according to claim 1, characterized in that, The power management module has multiple independent and controllable output channels, which supply power to the sensing unit, the main controller, the communication unit, and the video acquisition unit, respectively.

6. A control method, characterized in that, The passive cable trench intelligent electronic cover system applied to multimode communication according to any one of claims 1 to 5, the method comprising: S1: Real-time acquisition of monitoring data from the sensing unit under normal monitoring mode; S2: Input the monitoring data into the main controller, and calculate the fire risk level through the fire risk comprehensive assessment algorithm; S3: Determine whether the fire risk level is greater than the preset alarm level or whether the water immersion sensor has triggered an alarm; if yes, proceed to S4; otherwise, return to S1. S4: Send alarm signals to the monitoring center via the LoRa module; S5: Based on the event type and the fire risk level, activate the high-power module, wherein the high-power module includes a WAPI module and a video acquisition unit; S6: The video data acquired by the video acquisition unit is transmitted to the monitoring center through the WAPI module; S7: During video data transmission, determine whether the fire risk level is greater than the preset emergency level; if so, activate the fire extinguisher actuator; otherwise, do not activate the fire extinguisher actuator. S8: When the video data transmission is completed and the monitoring data returns to normal, turn off the high-power module and return to the normal monitoring mode.

7. The control method according to claim 6, characterized in that, The S1 is preceded by periodic self-testing performed under the normal monitoring mode.

8. The control method according to claim 7, characterized in that, The periodic self-checks performed under the normal monitoring mode specifically include: During preset low-load periods, a self-test process is initiated through the main controller; Based on the self-test process, a calibration operation is performed on the sensing unit; The battery health is assessed based on the results of the calibration procedure. The self-test data, which includes the calibration results and the health status, is sent to the monitoring center via the LoRa module.

9. The control method according to claim 6, characterized in that, S2 specifically includes: S201: Perform a moving average filtering operation on the temperature value, humidity value, and pyrolysis particle concentration value in the monitoring data; S202: Based on the filtered temperature, humidity, and pyrolysis particle concentration values, calculate the fire risk value using the aforementioned comprehensive fire risk assessment algorithm; S203: Map the fire risk value to the corresponding fire risk level and output the fire risk level.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the control method as described in any one of claims 6 to 9.

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