Intelligent well lid sensor low-power-consumption data acquisition and transmission system

Abstract

The invention discloses an intelligent well lid sensor low-power-consumption data acquisition and transmission system, and relates to the technical field of data acquisition, the system comprises a sensor, the sensor acquires the state information of a well lid, and the system also comprises the following modules: a data acquisition module, a data processing module and a data transmission module; the data acquisition module is used for acquiring and converting digital signals output by the sensor module, an intelligent algorithm is introduced, the acquisition frequency is automatically adjusted according to the historical data change trend and the real-time state of well lids, the data acquisition module is connected with the monitoring probe in a wireless mode, and a unique identifier is distributed to each well lid; the intelligent well lid has the advantages that the water level around the well lid can be monitored in real time during rainstorm and flood, an alarm is given in time when the water level reaches a danger threshold value, monitoring personnel are helped to master areas prone to water accumulation, water drainage emergency rescue is arranged, the influence of urban waterlogging is reduced, and when an earthquake occurs, the position of the affected well lid is accurately marked by means of data collection of the sensor and the map positioning function of the monitoring probe.

Description

Technical Field

[0001] The present invention relates to the field of data technology, and specifically to a low-power data acquisition and transmission system for intelligent manhole cover sensors. Background Art

[0002] With the acceleration of the urban intelligentization process, the demand for intelligent management of manhole covers has become increasingly prominent. The low-power data acquisition and transmission system for intelligent manhole cover sensors can monitor the status of manhole covers in real time, promptly detect abnormal situations such as displacement, tilt, and damage of manhole covers, and transmit the data to the management center, effectively improving the management efficiency of urban infrastructure and ensuring the safety of citizens' travel.

[0003] It is difficult to integrate with the existing management systems in the city and unable to share data, which limits the comprehensive management ability of urban infrastructure. In terms of responding to natural disasters, the existing sensor systems cannot respond quickly. Therefore, we propose a low-power data acquisition and transmission system for intelligent manhole cover sensors. Summary of the Invention

[0004] The purpose of the present invention is to provide a low-power data acquisition and transmission system for intelligent manhole cover sensors.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A low-power data acquisition and transmission system for intelligent manhole cover sensors, including a sensor that collects the status information of the manhole cover. The low-power data acquisition and transmission system for intelligent manhole cover sensors further includes the following modules:

[0006] A sensor module that uses a pressure sensor, a displacement sensor, an inclination sensor, a temperature and humidity sensor, and a gas sensor to sense various status information of the manhole cover.

[0007] A data acquisition module that collects and converts the digital signals output by the sensor module, and introduces an intelligent algorithm to automatically adjust the acquisition frequency according to the historical data change trend and real-time status of the manhole cover. The data acquisition module is connected to the monitoring probe wirelessly and assigns a unique identifier to each manhole cover.

[0008] A microprocessing module that uses a single-chip microcomputer as the core of the entire system to process, analyze, and store the data collected by the data acquisition module, and execute various algorithms and logical judgments.

[0009] A power management module that provides power supply for each module of the system, manages and optimizes the power consumption of the system.

[0010] A data transmission module that is responsible for transmitting the data processed by the microprocessor module to the remote monitoring center, and at the same time receiving remote instructions to enable the monitoring center to remotely control the system.

[0011] As a further solution of the present invention: The sensor module includes various types of sensors, including a pressure sensor, a displacement sensor, an inclination sensor, a temperature and humidity sensor, and a gas sensor. The pressure sensor is a piezoresistive pressure sensor with a measurement range of 0N - 5000N and an IP68 protection level. The displacement sensor is a high-precision MEMS accelerometer with a measurement accuracy within the range of ±1mm. The inclination sensor senses the horizontal state of the manhole cover. The temperature and humidity sensor monitors the temperature and humidity environment inside the well. The gas sensor detects the presence of harmful gases inside the well. An AODV routing protocol is used to build a network among the sensor nodes, the communication distance between nodes > 50m, and the network self-healing time < 30s. When a new node joins or a node fails, the routing is automatically recalculated.

[0012] As a further solution of the present invention: The data acquisition module includes an acquisition and conversion unit, a frequency adjustment unit, and a wireless connection unit. The acquisition and conversion unit monitors the signals output by the sensor module in real time and converts them into digital signals. The acquisition frequency is set to 1Hz - 2×10 -4 Hz. The frequency adjustment unit introduces an intelligent algorithm. The intelligent algorithm mines and analyzes the historical data of the manhole cover, establishes a data change trend model, and automatically judges the current condition of the manhole cover by monitoring the status data of the manhole cover in real time. The frequency adjustment unit automatically adjusts the acquisition frequency of the acquisition and conversion unit.

[0013] As a further solution of the present invention: The wireless connection unit is connected to the monitoring probe by ZigBee, configures the sensor module and the monitoring probe, and the configuration parameters include communication parameters, acquisition frequency, and alarm threshold, and assigns a unique identifier to each manhole cover. During data transmission, the data acquisition module sends the identifier of the manhole cover and the collected data to the monitoring probe together, and the monitoring probe identifies the data source of each manhole cover through the identifier and the data.

[0014] As a further solution of the present invention: The microprocessing module uses an ARM Cortex-M3 core chip. The ARM Cortex-M3 core chip integrates an anomaly detection algorithm and a data processing unit inside. The anomaly detection algorithm uses the data generated by the sensor module collected by the data acquisition module. The data includes the displacement, pressure, and tilt angle of the manhole cover. The data collected at each time point is sorted into a data set, and the mean μ and standard deviation σ of the data set are calculated. The data > μ - 3σ and < μ + 3σ are judged to be normal, and the data < μ - 3σ and > μ + 3σ are judged to be abnormal.

[0015] As a further solution of the present invention: The data processing unit receives the same-level and same-source data determined to be normal by the anomaly detection algorithm and conducts correlation analysis. Different data combinations generated by each sensor at different times form item sets. The Apriori algorithm is used to mine the correlation rules of different sensor data. The support threshold is set to 0.2, and the confidence threshold is set to 0.8. The item sets with support > support threshold are regarded as frequent item sets, and the correlation rules in the frequent item sets with confidence > confidence threshold are regarded as valid rules. The data processing module then integrates the data from different levels and different sources that contain valid rules, assigns weights according to the importance and reliability of the sensors, and uses the weighted average method to fuse the sensor data from different levels and different sources. The fusion formula is:

[0016]

[0017] Among them, X represents the fused result, n represents the number of sensors, ω i represents the weights corresponding to different sensors, and x i represents the data collected by different sensors. The reliability of the sensors is affected by various factors, including the accuracy, stability, and service life of the sensors. The data processing module regularly updates the weight values of the sensors according to the changing trends of the impacts.

[0018] As a further solution of the present invention: The power management module uses a hybrid power supply of solar energy and batteries. The solar panel is a high-efficiency monocrystalline silicon solar panel, which can efficiently collect solar energy and convert it into electrical energy when there is sufficient sunlight. The battery serves as a backup power supply and continuously powers the system at night and when there is insufficient sunlight. The power supply is dynamically adjusted according to the system working state. When the manhole cover is in a normal state, the data acquisition module and the microprocessing module enter the low-power mode. Once an anomaly is detected, the system switches to the full-power operation mode to ensure timely processing and transmission of data.

[0019] As a further solution of the present invention: The data transmission module uses NB-loT communication technology. After the microprocessor module processes the data, it encapsulates the data into a specific format and sends it to the data transmission module. The data transmission module processes the data through modulation and coding according to the selected communication technology protocol and transmits the data to the server of the remote monitoring center. The monitoring center generates remote instructions according to the service requirements, also encapsulates them into the corresponding format, and sends them to the data transmission module through the network. After receiving the instructions, the data transmission module demodulates and parses them and passes the instructions to the microprocessor module to remotely control the system. The remote control includes adjusting the data acquisition frequency and restarting the device.

[0020] Adopting the above technical solutions, compared with the prior art, the beneficial effects of the present invention are as follows:

[0021] 1. By combining the manhole cover sensor system with monitoring probes, the present invention can, during heavy rain and floods, monitor the water level around the manhole cover in real time, give an alarm in a timely manner when the dangerous threshold is reached, help monitoring personnel master the areas prone to waterlogging, arrange drainage and emergency rescue, and reduce the impact of urban waterlogging. When an earthquake occurs, by means of the data collected by the sensors and the map positioning function of the monitoring probes, the positions of the affected manhole covers can be accurately marked, providing a basis for rescue personnel to evaluate the degree of disaster damage, giving priority to repairing the manhole covers in key areas, restoring the urban operation order, and avoiding secondary accidents;

[0022] 2. Through a variety of sensors in the manhole cover sensor system, such as pressure, displacement, inclination, temperature and humidity, and gas sensors, the present invention can perceive various state information of the manhole cover in real time. By connecting with the monitoring probes, these data can be transmitted in real time, enabling monitoring personnel to intuitively and accurately understand the actual conditions of each manhole cover through the monitoring system. Under normal circumstances, it can timely master whether there are slight displacements or inclinations of the manhole cover, and whether the temperature, humidity and concentration of harmful gases in the well are abnormal, providing a basis for daily maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic flow chart of the low-power data acquisition and transmission system of the intelligent manhole cover sensor in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The following further describes the specific embodiments of the present invention in conjunction with the drawings. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation to the present invention.

[0025] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0026] An intelligent manhole cover sensor low-power data acquisition and transmission system of the present invention includes sensors that collect the state information of the manhole cover. The intelligent manhole cover sensor low-power data acquisition and transmission system further includes the following modules:

[0027] A sensor module that uses a pressure sensor, a displacement sensor, an inclination sensor, a temperature and humidity sensor, and a gas sensor to perceive various state information of the manhole cover;

[0028] A data acquisition module that collects and converts the digital signals output by the sensor module, introduces intelligent algorithms, automatically adjusts the acquisition frequency according to the historical data change trend and real-time state of the manhole cover. The data acquisition module is connected to the monitoring probe wirelessly and assigns a unique identifier to each manhole cover;

[0029] The microprocessing module uses a single-chip microcomputer as the core of the entire system, processes, analyzes, and stores the data collected by the data acquisition module, and executes various algorithms and logical judgments;

[0030] The power management module provides power supply for each module of the system, manages and optimizes the power consumption of the system;

[0031] The data transmission module is responsible for transmitting the data processed by the microprocessor module to the remote monitoring center, and at the same time receiving remote instructions to enable the monitoring center to remotely control the system.

[0032] In an embodiment of the present invention: The sensor module includes various types of sensors. The multiple sensors include a pressure sensor, a displacement sensor, an inclination sensor, a temperature and humidity sensor, and a gas sensor. The pressure sensor is a piezoresistive pressure sensor with a measurement range of 0N - 5000N and an IP68 protection level. The displacement sensor uses a high-precision MEMS accelerometer with a measurement accuracy within the range of ±1mm. The inclination sensor senses the horizontal state of the manhole cover. The temperature and humidity sensor monitors the temperature and humidity environment in the well. The gas sensor detects the presence of harmful gases in the well. An AODV routing protocol is used to construct a network between each sensor node, the communication distance between nodes > 50m, and the network self-healing time < 30s. When a new node joins or a node fails, the routing is automatically recalculated.

[0033] In an embodiment of the present invention: The data acquisition module includes an acquisition and conversion unit, a frequency adjustment unit, and a wireless connection unit. The acquisition and conversion unit monitors the signals output by the sensor module in real time and converts them into digital signals. The acquisition frequency is set to 1Hz - 2×10 -4 Hz. The frequency adjustment unit introduces an intelligent algorithm. The intelligent algorithm mines and analyzes the historical data of the manhole cover, establishes a data change trend model, and automatically judges the current condition of the manhole cover by real-time monitoring the status data of the manhole cover. The frequency adjustment unit automatically adjusts the acquisition frequency of the acquisition and conversion unit.

[0034] In an embodiment of the present invention: The wireless connection unit is connected to the monitoring probe through ZigBee, configures the sensor module and the monitoring probe, and the configuration parameters include communication parameters, acquisition frequency, and alarm threshold, and assigns a unique identifier to each manhole cover. During the data transmission process, the data acquisition module sends the identifier of the manhole cover and the collected data to the monitoring probe together, and the monitoring probe identifies the data source of each manhole cover through the identifier and the data.

[0035] In an embodiment of the present invention: The microprocessing module uses an ARM Cortex-M3 core chip. The ARM Cortex-M3 core chip integrates an anomaly detection algorithm and a data processing unit inside. The anomaly detection algorithm utilizes the data generated by the sensor module collected by the data acquisition module. The data includes the displacement, pressure, and tilt angle of the manhole cover. The data collected at each time point is organized into a data set, and the mean μ and standard deviation σ of the data set are calculated. The data with values > μ - 3σ and < μ + 3σ are judged as normal, and the data with values < μ - 3σ and > μ + 3σ are judged as abnormal.

[0036] In an embodiment of the present invention: The data processing unit receives the same-level and same-source data judged as normal by the anomaly detection algorithm and conducts correlation analysis. Different data combinations generated by each sensor at different times form item sets. The Apriori algorithm is used to mine the correlation rules of different sensor data. The support threshold is set to 0.2, and the confidence threshold is set to 0.8. The item sets with support > the support threshold are regarded as frequent item sets, and the correlation rules in the frequent item sets with confidence > the confidence threshold are regarded as valid rules. The data processing module then integrates the data from different levels and different sources that contain valid rules, assigns weights according to the importance and reliability of the sensors, and uses the weighted average method to fuse the sensor data from different levels and different sources. The fusion formula is:

[0037]

[0038] Where X represents the fused result, n represents the number of sensors, ω i represents the weights corresponding to different sensors, and x i represents the data collected by different sensors. The reliability of the sensors is affected by various factors, including the accuracy, stability, and service life of the sensors. The data processing module regularly updates the weight values of the sensors according to the changing trend of the influence.

[0039] In an embodiment of the present invention: The power management module uses a hybrid power supply of solar energy and batteries. The solar panel selects a high-efficiency monocrystalline silicon solar panel. The solar panel can efficiently collect solar energy and convert it into electrical energy when there is sufficient sunlight. The battery serves as a backup power supply and continuously powers the system at night and when there is insufficient sunlight. The power supply is dynamically adjusted according to the working state of the system. When the manhole cover is in a normal state, the data acquisition module and the microprocessing module enter the low-power mode. Once an anomaly is detected, the system switches to the full-power operation mode to ensure timely processing and transmission of data.

[0040] In one embodiment of the present invention: The data transmission module adopts NB-loT communication technology. After the microprocessor module processes the data, it encapsulates the data into a specific format and sends it to the data transmission module. The data transmission module performs modulation and encoding processing on the data according to the selected communication technology protocol and transmits the data to the server of the remote monitoring center. The monitoring center generates remote instructions according to business requirements, also encapsulates them into the corresponding format, and sends them to the data transmission module through the network. After receiving the instructions, the data transmission module demodulates and parses them, and passes the instructions to the microprocessor module to remotely control the system. The remote control includes adjusting the data acquisition frequency and restarting the device.

[0041] Example 1: Using machine learning and data analysis technologies, deeply mine and analyze the historical data of manhole covers, establish a data change trend model. By real-time monitoring the status data of manhole covers, the algorithm can automatically judge the current operating condition of the manhole cover. When the manhole cover is in a stable state, such as no displacement change for a long time and the pressure value is within the normal range, the algorithm will automatically reduce the acquisition frequency to reduce system power consumption. On the contrary, if the manhole cover shows abnormalities, such as a sudden increase in displacement or the pressure value exceeding the normal range, the algorithm will immediately increase the acquisition frequency to obtain data more frequently and timely discover potential problems.

[0042] Example 2: In natural disasters such as heavy rain that may cause floods, the system combined with monitoring probes can real-time monitor the water level around the manhole cover. The sensor can quickly sense the change of the water level in the well. Once the water level reaches the danger threshold, the system immediately sends an alarm to the monitoring center. The monitoring personnel can thus quickly master the areas prone to waterlogging and timely arrange drainage and emergency rescue, such as dispatching drainage vehicles and setting warning signs, to reduce the impact of urban waterlogging on traffic and citizens' lives and ensure the safety of people and property. When an earthquake occurs, the manhole cover may be displaced, tilted or even damaged. The system can real-time collect the status data of the manhole cover through sensors and, with the help of the map positioning function of the monitoring probe, accurately mark the positions of the affected manhole covers, which provides a basis for rescue personnel to quickly evaluate the damage degree of the earthquake to urban infrastructure, helps them prioritize the repair of manhole covers in key areas, and restore the normal operation order of the city to avoid secondary accidents caused by missing or displaced manhole covers.

[0043] Embodiment 3: Dynamically adjust the power supply according to the system working state. When the manhole cover is in a normal state, the data acquisition module and the microprocessing module can enter the low-power mode, reduce the clock frequency or turn off some non-essential functions to reduce energy consumption. Once an anomaly is detected, quickly switch to the full-power operation mode to ensure timely processing and transmission of data. To further reduce power consumption, set up an intelligent sleep and wake-up function. When the system does not detect any changes in the manhole cover state or other triggering events for a period of time, it automatically enters the sleep state. At this time, most modules stop working, and only a minimal wake-up monitoring circuit is retained. The system can be triggered to wake up and resume normal operation through changes in sensor data, timer interrupts, or remote wake-up instructions, etc.

[0044] As shown in the Figure 1 appendix, the data acquisition module collects the data generated by the sensor module, transfers the data to the microprocessing module for processing and analysis, and then transfers the processed data to the monitoring center through the data transmission module.

[0045] Although the present invention is disclosed above in a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, any modifications, equivalent changes, and decorations made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention shall fall within the protection scope defined by the claims of the present invention.

Claims

1. A low-power data acquisition and transmission system for intelligent manhole cover sensors, comprising a sensor, the sensor collects state information of the manhole cover, characterized in that: The intelligent manhole cover sensor low power consumption data acquisition and transmission system also includes the following modules: The sensor module uses pressure sensors, displacement sensors, inclination sensors, temperature and humidity sensors, and gas sensors to sense various status information of the manhole cover; The data acquisition module collects and converts the digital signals output by the sensor module, and introduces intelligent algorithms to automatically adjust the acquisition frequency according to the historical data change trend and real-time status of the manhole cover. The data acquisition module is connected to the monitoring probe wirelessly and assigns a unique identification to each manhole cover; The microprocessor module uses a single-chip microcomputer as the core of the entire system to process, analyze and store the data collected by the data acquisition module and execute various algorithms and logical judgments; The power management module provides power supply for each module of the system, manages and optimizes the power consumption of the system; The data transmission module is responsible for transmitting the data processed by the microprocessor module to the remote monitoring center, and at the same time receiving remote instructions so that the monitoring center can remotely control the system.

2. According to claim 1, a low-power consumption data acquisition and transmission system for intelligent manhole cover sensors is characterized in that: The sensor module includes multiple types of sensors, including pressure sensors, displacement sensors, inclination sensors, temperature and humidity sensors and gas sensors. The pressure sensor uses a piezoresistive pressure sensor with a measurement range of 0N-5000N and an IP68 protection level. The displacement sensor uses a high-precision MEMS accelerometer with a measurement accuracy within the range of ±1mm. The inclination sensor senses the horizontal state of the manhole cover, the temperature and humidity sensor monitors the temperature and humidity environment in the well, and the gas sensor detects the presence of harmful gases in the well. The AODV routing protocol is used to build a network between each sensor node. The communication distance between nodes is greater than 50m, and the network self-healing time is less than 30s. When a new node is added or a node fails, the route is automatically recalculated.

3. According to claim 2, a low-power consumption data acquisition and transmission system for intelligent manhole cover sensors is characterized in that: The data acquisition module includes an acquisition and conversion unit, a frequency adjustment unit and a wireless connection unit. The acquisition and conversion unit monitors the signal output by the sensor module in real time and converts it into a digital signal. The acquisition frequency is set to 1Hz-2×10 -4 Hz, the frequency adjustment unit introduces an intelligent algorithm, which mines and analyzes the historical data of the manhole cover, establishes a data change trend model, and automatically determines the current status of the manhole cover by real-time monitoring of the manhole cover status data. The frequency adjustment unit automatically adjusts the collection frequency of the collection and conversion unit.

4. According to claim 3, a low-power consumption data acquisition and transmission system for intelligent manhole cover sensors is characterized in that: The wireless connection unit is connected to the monitoring probe via ZigBee, and the sensor module and the monitoring probe are configured. The configuration parameters include communication parameters, collection frequency and alarm threshold, and a unique identifier is assigned to each manhole cover. During data transmission, the data collection module sends the identifier of the manhole cover together with the collected data to the monitoring probe, and the monitoring probe identifies the data source of each manhole cover through the identifier and data.

5. The low-power data acquisition and transmission system for intelligent manhole cover sensors according to claim 4 is characterized in that: The microprocessor module adopts an ARMCortex-M3 core chip, and the ARMCortex-M3 core chip integrates an anomaly detection algorithm and a data processing unit. The anomaly detection algorithm uses the data generated by the sensor module collected by the data acquisition module, and the data includes the displacement, pressure and tilt angle of the manhole cover. The data collected at each time point is sorted into a data set, and the mean μ and standard deviation σ of the data set are calculated. The data with a value greater than μ-3σ and less than μ+3σ are judged as normal, and the data with a value less than μ-3σ and greater than μ+3σ are judged as abnormal.

6. The low-power data acquisition and transmission system for intelligent manhole cover sensors according to claim 5 is characterized in that: The data processing unit receives data of the same level and source that are judged as normal by the anomaly detection algorithm and performs association analysis. Different data combinations generated by each sensor at different times constitute item sets. The Apriori algorithm is used to mine association rules of different sensor data. The support threshold is set to 0.2, the confidence threshold is set to 0.8, and the item sets with support greater than the support threshold are regarded as frequent item sets. The confidence of the association rules in the frequent item sets greater than the confidence threshold are regarded as valid rules. The data processing module then integrates data from different levels and sources that contain valid rules, assigns weights according to the importance and reliability of the sensors, and fuses the sensor data of different levels and sources using the weighted average method. The fusion formula is: Among them, X represents the fusion result, n represents the number of sensors, ω i Represents the weights corresponding to different sensors, x i Represents the data collected by different sensors. The reliability of the sensor is affected by many factors, including the accuracy, stability and service life of the sensor. The data processing module regularly updates the weight value of the sensor according to the changing trend of the influence.

7. The low-power data acquisition and transmission system for intelligent manhole cover sensors according to claim 6 is characterized by: The power management module adopts a hybrid power supply of solar energy and batteries. The solar panels are high-efficiency monocrystalline silicon solar panels. The solar panels can efficiently collect solar energy and convert it into electrical energy when there is sufficient light. The batteries serve as a backup power supply to continuously power the system at night and when there is insufficient light. The power supply is dynamically adjusted according to the working status of the system. When the manhole cover is in a normal state, the data acquisition module and the microprocessor module enter a low power consumption mode. Once an abnormality is detected, the system switches to a full-power operation mode to ensure timely processing and transmission of data.

8. The low-power data acquisition and transmission system for intelligent manhole cover sensors according to claim 7 is characterized in that: The data transmission module adopts NB-loT communication technology. After the microprocessor module processes the data, it encapsulates the data into a specific format and sends it to the data transmission module. The data transmission module modulates and encodes the data according to the selected communication technology protocol, and transmits the data to the server of the remote monitoring center. The monitoring center generates remote instructions according to business needs, and after encapsulating them into the corresponding format, they are sent to the data transmission module through the network. After receiving the instructions, the data transmission module demodulates and parses them, and passes the instructions to the microprocessor module to remotely control the system. Remote control includes adjusting the data acquisition frequency and restarting the device.

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