Method for constructing a protective suit with electric field indication and system therefor

Abstract

This invention discloses a method and system for constructing and using protective clothing with electric field indicators. The method includes deploying miniature electric field sensor nodes on key parts of the protective clothing (helmet, jacket, trousers, gloves, and safety shoes) to construct a distributed electric field sensing network; synchronously collecting data on electric field strength, frequency components, and trends at each location; extracting feature values ​​through signal processing and digital algorithms; and classifying and evaluating the electric field environment according to a five-level standard; driving visual, auditory, and tactile units at corresponding locations to generate multimodal linkage indicator signals based on the evaluation results; and triggering a graded alarm mechanism and recording event information when the electric field strength exceeds the limit. This application enables accurate monitoring and intelligent early warning of spatial electric field gradients in high-voltage working environments, significantly improving the safety protection level of workers and effectively reducing the risk of electromagnetic exposure and electrical accidents.

Description

Technical Field

[0001] This invention belongs to the field of safety protection equipment technology, and specifically relates to a method and system for constructing and using protective clothing with electric field indication. Background Technology

[0002] With the increasing complexity of power system operation and maintenance and high-voltage work scenarios, the safety protection needs of workers in strong electric field environments are constantly rising. Personal protective equipment (PPE), as the first line of defense for power work safety, has evolved from traditional physical insulation and mechanical protection to intelligent and sensing capabilities. Currently, power work environments are generally characterized by high voltage, strong electric fields, and complex electromagnetic interference. Workers need to be aware of the electric field distribution in their surroundings in real time to avoid sudden electrical risks such as induced electric shock and arc flashover. This places higher demands on the environmental perception capabilities, information exchange efficiency, and multi-part collaborative early warning mechanisms of the protection system.

[0003] Visualizing and interactively prompting electric field strength has become a key direction for improving operational safety. While existing protective suits occasionally integrate simple electric field sensors, they generally lack a distributed sensing network covering key areas of the body, making it difficult to construct a complete spatial electric field gradient map. Furthermore, electric field strength information is usually only displayed numerically at a single location, without effective linkage with color changes, voice announcements, or multimodal prompting mechanisms. This leads to delays or misjudgments in the identification of localized high-field-strength areas by workers. In addition, the presentation of electric field data is isolated and static, failing to achieve regionalized and synchronized dynamic indication across different protective units such as helmets, gloves, jackets, trousers, and safety shoes. This makes it easy for workers to experience blind spots during movement or posture changes, significantly weakening the overall protective effectiveness.

[0004] Existing technologies have significant shortcomings in terms of the comprehensiveness of electric field sensing, the intuitiveness of feedback, and the coordination of information from multiple parts, making it difficult to meet the comprehensive requirements of high-voltage live-line work for real-time performance, spatial resolution, and user-friendly human-machine interaction. Especially in high-risk scenarios such as substation maintenance and live-line work on transmission lines, these deficiencies may prevent workers from timely avoiding high-field-strength areas, leading to serious safety accidents. Therefore, there is an urgent need for a protective clothing system that integrates distributed electric field sensing, multimodal dynamic indication, and whole-body coordinated feedback to achieve accurate perception, intuitive presentation, and proactive early warning of the electric field environment. Summary of the Invention

[0005] Purpose of the Invention: To overcome the above shortcomings, the purpose of this invention is to provide a method and system for constructing and using protective clothing with electric field indicators. By constructing a distributed electric field sensing network covering key parts of the body, comprehensive and accurate monitoring of spatial electric field strength is achieved. Combined with a multi-modal indicator signal generation mechanism, intuitive feedback on the electric field environment status is provided. Based on the intelligent area early warning function, a graded alarm can be triggered in a timely manner when the electric field strength exceeds the limit. The entire system adopts a low-power design and high-reliability components to ensure long-term stable operation in complex electric field environments. Ultimately, it significantly improves the safety protection level of workers in high-voltage environments and effectively reduces the risk of electromagnetic exposure and related electrical accidents.

[0006] Technical Solution: To achieve the above objectives, the present invention provides a method and system for constructing and using a protective suit with an electric field indicator, the method comprising: Step 1: Construct a distributed electric field sensing network. Deploy miniature electric field sensor nodes on key parts of the protective clothing, including the helmet, jacket, pants, gloves, and safety shoes, forming a space electric field intensity acquisition array covering the entire body. Step 2: Collect multi-dimensional electric field data. Simultaneously measure the electric field intensity, frequency components, and trends at the location using the miniature electric field sensor nodes, and continuously acquire raw electric field signals at a preset sampling frequency. Step 3: Process and analyze the electric field signals. Amplify, filter, and perform analog-to-digital conversion on the raw electric field signals. Extract effective electric field feature values ​​using digital signal processing algorithms, and perform a graded assessment of the current electric field environment based on a preset electric field intensity level classification standard. Step 4: Generate multi-modal indication signals. Based on the electric field intensity level assessment results, drive the visual indication unit, auditory alarm unit, and tactile feedback unit integrated in the corresponding parts to generate linked indication signals. Step 5: Execute intelligent area early warning. When the detected electric field intensity exceeds a preset safety threshold, trigger a graded alarm mechanism, issuing a warning to the wearer through a combination of sound and light, and recording the time, location, and intensity information of the warning event. By deploying miniature electric field sensors on key areas such as helmets, shirts, pants, gloves, and safety shoes, a spatial electric field intensity acquisition array covering the entire body is formed, overcoming the limitations of traditional single-point measurements. This distributed network can accurately capture the differences in electric field distribution in different parts of the human body, avoiding misjudgments caused by uneven electric field distribution, and providing more accurate spatial electric field data for subsequent classification and assessment.

[0007] The system includes miniature electric field sensor nodes deployed on a wearable device, a multimodal indicator unit, a main control processing module, a wireless communication unit, and a power management module. These components are all connected to and controlled by the main control processing module. The wearable device includes a helmet, shirt, pants, gloves, and safety shoes. The main control processing module centrally manages all sensor nodes and the multimodal indicator unit. It synchronously collects electric field data from different parts of the body, performs fusion processing, and avoids inconsistencies caused by independent judgments from each node.

[0008] Preferably, in step 1, the miniature electric field sensor node adopts an electric field sensing chip based on microelectromechanical systems technology, with a sensing sensitivity of 1V / m (1 volt per meter), a dynamic measurement range covering 100V / m to 30kV / m, and an operating temperature range of -40℃ to 85℃. Each sensor node is independently encapsulated in a flexible waterproof shell and connected to the main control unit through a flexible circuit.

[0009] Preferably, in step 2, the preset sampling frequency is 1000 Hz, the acquisition accuracy of the original electric field signal reaches ±2%, and the miniature electric field sensor node has a built-in temperature compensation circuit to eliminate the influence of ambient temperature changes on the measurement results, ensuring that the measurement error is less than 3% in an environment of -20℃ to 60℃.

[0010] Preferably, the digital signal processing algorithm in step 3 includes fast Fourier transform and digital filtering, the effective electric field feature values ​​include the mean, peak and frequency components of the electric field strength, the electric field strength level is divided into 5 levels, corresponding to safety, attention, warning, danger and emergency status, and the response time of the graded assessment is less than 50 milliseconds.

[0011] Preferably, in step 4, the visual indicator unit uses a multi-color light-emitting diode array to display green, blue, yellow, orange, or red according to the electric field strength level. The light intensity is adjustable, and the maximum brightness reaches 1000 cd / m2, ensuring clear visibility in strong light environments.

[0012] Preferably, in step 4, the auditory alarm unit uses a miniature piezoelectric speaker that can emit warning sounds of different frequencies and rhythms, with a sound pressure level of 70dB to 90dB at a distance of 10cm, and supports multi-level volume adjustment to adapt to different environmental noise conditions.

[0013] Preferably, in step 4, the tactile feedback unit uses an eccentric rotor motor, which is installed on the inside of the glove and at the shoulder of the shirt. It transmits tactile warning signals to the wearer through different vibration modes. The vibration intensity is divided into 3 levels, and the duration can be set in the range of 0.5 seconds to 3 seconds.

[0014] Preferably, in step 5, the preset safety threshold is dynamically configured according to the type of working environment. It is set to 5 kV / m for indoor areas of substations, 10 kV / m for areas under transmission lines, and 15 kV / m for live-line working areas, with a threshold configuration accuracy of ±0.5%.

[0015] Preferably, the graded alarm mechanism in step 5 includes three levels: primary warning, intermediate alarm and emergency alarm. When the primary warning is triggered, only the visual indication unit is activated. When the intermediate alarm is triggered, the visual and auditory alarm units are activated simultaneously. When the emergency alarm is triggered, the visual, auditory and tactile feedback units are activated simultaneously.

[0016] Preferably, the system also includes data recording and transmission functions. The system has a built-in storage module that records the most recent 1,000 electric field monitoring data and early warning events. At the same time, it transmits key data to the background monitoring center in real time through a wireless communication module. The wireless transmission distance reaches 100 meters and the data transmission success rate is greater than 99.5%.

[0017] Preferably, the system adopts a low-power design, is powered by a built-in rechargeable lithium battery, has a battery life of up to 8 hours in typical working mode, supports fast charging technology, can complete 80% charging within 30 minutes, and has battery power monitoring and low battery warning functions.

[0018] Preferably, the protective suit construction and usage method and system are applied to power system operation and maintenance, high-voltage operations and substation inspection scenarios. Through whole-body distributed sensing and multimodal feedback, it can achieve comprehensive monitoring and risk warning of spatial electric field gradient. The system self-test time is less than 10 seconds and the average fault-free working time exceeds 10,000 hours.

[0019] As can be seen from the above technical solution, the present invention has the following beneficial effects: This invention discloses a method and system for constructing and using protective clothing with electric field indicators. By constructing a distributed electric field sensing network covering key parts of the body, it achieves comprehensive and accurate monitoring of the spatial electric field strength. Combined with a multi-modal indicator signal generation mechanism, it provides intuitive feedback on the electric field environment status. Based on the intelligent area early warning function, it can promptly trigger graded alarms when the electric field strength exceeds the limit. The entire system adopts a low-power design and high-reliability components to ensure long-term stable operation in complex electric field environments. Ultimately, it significantly improves the safety protection level of workers in high-voltage environments and effectively reduces the risk of electromagnetic exposure and related electrical accidents. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall technical solution architecture of the protective clothing system with electric field indication proposed in this invention. Figure 2This is a schematic diagram of the core principle framework of the distributed electric field sensing network and multimodal indicator signal generation in this invention; Figure 3 This is a logical flowchart of the electric field signal acquisition, processing, and hierarchical evaluation in this invention; Figure 4 This is a logical flowchart of the intelligent area early warning and hierarchical alarm mechanism in this invention. Detailed Implementation

[0021] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention. Example

[0022] Currently, with the increasing complexity of power system operation and maintenance and high-voltage work scenarios, the safety protection needs of workers in strong electric field environments are constantly rising. Traditional personal protective equipment mainly focuses on physical insulation and mechanical protection, lacking the ability to perceive and intuitively respond to the surrounding electric field strength in real time, making it difficult to effectively warn of potential electromagnetic exposure risks. Especially in high-risk scenarios such as substation and transmission line maintenance and live-line work, workers need to accurately judge the electric field distribution in their area to avoid sudden electrical hazards such as induced electric shock and arc flashover. This places higher demands on the environmental perception, information presentation, and active alarm functions of protective equipment. To address the above technical problems, this invention proposes to construct a distributed electric field perception network covering key parts of the body to achieve comprehensive and accurate monitoring of spatial electric field strength; combined with a multi-modal indication signal generation mechanism, it provides intuitive feedback on the electric field environment status; based on the intelligent area early warning function, it can promptly trigger graded alarms when the electric field strength exceeds the limit; the entire system adopts a low-power design and high-reliability components to ensure long-term stable operation in complex electric field environments, and is applied to a method and system for constructing and using protective clothing with electric field indication.

[0023] refer to Figure 1 The schematic diagram of the overall technical solution illustrates a method and system for constructing and using protective clothing with electric field indication. This system highly integrates micro-electric field sensor nodes, multi-modal indication units, a main control processing module, a wireless communication unit, and a power management module into a flexible wearable carrier, forming a closed-loop, adaptive integrated system for electric field sensing, analysis, feedback, and early warning. Structurally, the system covers five key components: helmet, jacket, trousers, gloves, and safety shoes. Each functional unit is interconnected via flexible circuitry and coordinated by a central main control unit, thereby achieving full-domain perception and local response to spatial electric field gradients.

[0024] In this embodiment, the method includes step (1), constructing a distributed electric field sensing network by deploying micro electric field sensor nodes on key parts of the protective clothing, including the helmet, top, pants, gloves, and safety shoes, to form a spatial electric field intensity acquisition array covering the entire body. Specifically, in step (1), the number of micro electric field sensor nodes is no less than 5, corresponding to the key exposed areas of the upper and lower body. Among them, one sensor node is deployed on the helmet to monitor the electric field intensity above and in front of the head; one sensor node is deployed on the chest and back of the top to capture the electric field distribution on the front and back of the torso; one sensor node is embedded on the inside of the left and right gloves to sense the local electric field changes in the hand operation area; one sensor node is set on the outside of the left and right trouser legs to detect the electric field environment around the legs; and one sensor node is integrated on the bottom of the left and right safety shoes to identify the electric field gradient near the ground. All sensor nodes utilize electric field sensing chips based on microelectromechanical systems (MEMS) technology, achieving a sensing sensitivity of 1V / m and a dynamic measurement range covering 100V / m to 30kV / m, with an operating temperature range of -40℃ to 85℃. Each sensor node is independently encapsulated in a flexible waterproof housing made of polyimide composite film, no more than 0.5 mm thick, possessing bending resistance, wear resistance, and IP67 dust and water resistance. The sensor nodes are connected to the main control unit via flexible printed circuit boards, with shielded twisted-pair cables used to suppress high-frequency electromagnetic interference and ensure signal integrity. The design goal of this distributed network is to address the blind spots in spatial electric field perception caused by single-point sensing in existing protective equipment. By constructing a three-dimensional electric field strength model through multi-point synchronous sampling, it provides a data foundation for subsequent regional risk assessment.

[0025] In this embodiment, the method further includes step (2), which involves collecting multi-dimensional electric field data and synchronously measuring the electric field strength, frequency components, and trends at the location of the micro electric field sensor nodes, and continuously acquiring the original electric field signal at a preset sampling frequency. Specifically, in step (2), all micro electric field sensor nodes are synchronously sampled at a preset sampling frequency of 1000Hz under the unified clock signal of the main control unit to ensure the time alignment of the electric field data at each location and avoid spatial gradient misjudgment caused by asynchronous sampling. The acquisition accuracy of the original electric field signal reaches ±2%, the signal resolution is 16 bits, and the quantization step size is 0.1V / m. Each sensor node has a built-in temperature compensation circuit, which includes a negative feedback loop composed of a high-precision thermistor and an operational amplifier. This circuit can monitor the internal temperature of the node in real time and dynamically adjust the gain coefficient according to the pre-stored temperature-sensitivity calibration curve, thereby eliminating the influence of ambient temperature changes on the measurement results and ensuring that the measurement error is less than 3% in an environment of -20℃ to 60℃. In addition, the sensor node integrates a self-testing module, which automatically performs zero-point calibration and full-scale verification upon system startup. If sensor drift or failure is detected, it immediately reports a fault code to the main control unit and displays a specific flashing pattern on the corresponding visual indicator unit to indicate maintenance needs. This multi-dimensional data acquisition mechanism not only acquires instantaneous electric field intensity values ​​but also records their rate of change over time (dE / dt) and spectral characteristics, providing a basis for subsequent dynamic risk identification.

[0026] In this embodiment, the method further includes step (3): processing and analyzing the electric field signal, amplifying, filtering, and performing analog-to-digital conversion on the original electric field signal, extracting effective electric field feature values ​​using a digital signal processing algorithm, and classifying and evaluating the current electric field environment based on a preset electric field strength level classification standard. Specifically, in step (3), the original analog signal is first pre-amplified by a low-noise instrumentation amplifier with an adjustable gain range of 1 to 100 times, and then filtered by a fifth-order low-pass filter to remove high-frequency noise above 500 Hz. The cutoff frequency is set to 400 Hz to retain the power frequency (50 Hz) and its harmonic components. The filtered signal is sent to a 16-bit analog-to-digital converter with a conversion rate of 1000 samples / second. The conversion result is transmitted to the digital signal processor of the main control unit via the SPI bus. The main control unit runs an embedded real-time operating system to schedule digital signal processing tasks. The digital signal processing algorithm includes Fast Fourier Transform (FFT) and digital filtering. The FFT uses a radix-2 decimation-time algorithm with 1024 sampling points and a Hanning window function to convert the time-domain signal into a frequency-domain spectrum and identify the dominant frequency components. The digital filtering employs a cascaded structure of a moving average filter and a Kalman filter. The moving average filter has a window length of 50 sampling points to smooth random fluctuations, while the Kalman filter's state equation is based on the first derivative model of the electric field strength. The process noise covariance Q is set to 0.01, and the observation noise covariance R is set to 0.001 to suppress abrupt interference and predict the electric field value at the next moment. The effective electric field characteristics include the mean, peak, and frequency components of the electric field strength. The mean is the arithmetic mean of the sampling values ​​within the most recent 100 milliseconds, the peak is the maximum absolute value within the same time period, and the frequency components refer to the amplitude proportions of the 50Hz fundamental wave and its 3rd and 5th harmonics. Based on the above characteristic values, the system performs electric field strength level classification, dividing it into 5 levels: Level 1 (Safe) corresponds to an electric field strength of less than 1 kV / m; Level 2 (Caution) corresponds to 1 to 5 kV / m; Level 3 (Warning) corresponds to 5 to 10 kV / m; Level 4 (Danger) corresponds to 10 to 15 kV / m; and Level 5 (Emergency) corresponds to greater than 15 kV / m. The response time for the classification assessment is less than 50 ms, ensuring timely status updates in the event of sudden changes in the electric field. See the processing flow below. Figure 3 The logical flow diagram shown indicates that signal conditioning, feature extraction, and level determination form a closed-loop feedback chain, supporting dynamic threshold adjustment and historical data backtracking analysis.

[0027] In this embodiment, the method further includes step (4), generating a multimodal indication signal, and driving the visual indication unit, auditory alarm unit, and tactile feedback unit integrated in the corresponding part to generate a linked indication signal based on the electric field strength level evaluation result. Specifically, in step (4), the visual indication unit adopts a multi-color light-emitting diode array, with each sensor node corresponding to an independent LED indicator group, which is installed in a conspicuous position on the outer surface of the part. The LED array consists of high-brightness LEDs of five colors: red, orange, yellow, blue, and green, which display green (level 1), blue (level 2), yellow (level 3), orange (level 4), or red (level 5) respectively according to the electric field strength level. The luminous intensity can be dynamically adjusted by the pulse width modulation signal, with a maximum brightness of 1000 cd / m2, which can still be clearly identified under direct sunlight at noon. The auditory alarm unit adopts a miniature piezoelectric speaker with a diameter of 10 mm and a thickness of 2 mm, which is installed on the inside of the helmet near the ear. The speaker can emit warning sounds of different frequencies and rhythms: Level 2 emits an intermittent low-frequency "beep" sound (500Hz, 2-second interval); Level 3 switches to a continuous mid-frequency buzzer (1000Hz); Level 4 and above switch to a high-frequency rapid alarm (2000Hz, 0.2-second on / 0.1-second off rhythm). The sound pressure level reaches 70dB~90dB at a distance of 10cm, and supports multi-level volume adjustment, ranging from 60~95dB, to adapt to different ambient noise conditions. The haptic feedback unit uses an eccentric rotor motor, with a diameter of 8mm and a thickness of 3mm, and is installed on the palm of the left and right gloves and on the inner lining of the left and right shoulders of the shirt. The motor transmits tactile warning signals through different vibration modes: Level 3 activates a single short vibration (intensity level 1, lasting 0.5 seconds); Level 4 activates continuous medium vibration (intensity level 2, lasting 2 seconds); Level 5 activates high-intensity long vibration (intensity level 3, lasting 3 seconds, with a 0.3-second on / 0.1-second off cycle). All multimodal units are independently controlled by the main control unit via GPIO interfaces, ensuring that the indication signals strictly correspond to the electric field levels, and that each component only responds to local sensor data, achieving precise regional feedback. This multimodal linkage mechanism is described in [link to relevant documentation]. Figure 2 The diagram shows the core principle framework, in which the electric field level serves as input, driving three parallel output channels to form a redundant alarm system and improve the reliability of information transmission.

[0028] In this embodiment, the method further includes step (5), which involves executing intelligent area early warning. When the detected electric field strength exceeds a preset safety threshold, a graded alarm mechanism is triggered, and a warning is issued to the wearer through a combination of sound and light, and the time, location, and intensity information of the warning event are recorded. Specifically, in step (5), the preset safety threshold is dynamically configured according to the type of work environment. When the system starts, it downloads the threshold parameters of the current work area from the background monitoring center through the wireless communication module, or the wearer can manually select the work mode through the physical buttons on the helmet. For the indoor area of ​​the substation, the threshold is set to 5 kV / m; for the area under the transmission line, it is set to 10 kV / m; and for the live work area, it is set to 15 kV / m. The threshold configuration accuracy reaches ±0.5%, which is achieved by the high-precision DAC module inside the main control unit. The tiered alarm mechanism includes three levels: primary warning, intermediate alarm, and emergency alarm. When a primary warning is triggered (i.e., the electric field strength exceeds the threshold for the first time but does not reach level 4), only the visual indicator unit of the corresponding part is activated, displaying orange or red. When an intermediate alarm is triggered (level 4 lasts for more than 1 second), both visual and auditory alarm units are activated simultaneously. When an emergency alarm is triggered (level 5 or level 4 lasts for more than 3 seconds), visual, auditory, and tactile feedback units are activated simultaneously, and a high-brightness flashing mode is initiated for the entire system. When a warning event is triggered, the main control unit immediately records the event occurrence time (accurate to milliseconds), the triggering part (e.g., "right glove"), the peak electric field strength, the duration, and the ambient temperature, and writes this record to the built-in non-volatile storage module. The system's built-in storage module uses a serial flash memory chip with an SPI interface, with a capacity of 8 megabytes, and can cyclically record the most recent 1000 electric field monitoring data and warning events. Each record includes fields such as timestamp, part ID, electric field strength, level, threshold type, and battery voltage. Simultaneously, the system transmits critical data to the backend monitoring center in real time via a 2.4GHz ISM band wireless communication module. The communication protocol adopts the improved BLE 5.0 standard, supports frequency hopping for interference resistance, and achieves a wireless transmission distance of up to 100 meters (in open, unobstructed areas), with a data transmission success rate exceeding 99.5%. The backend monitoring center can display a real-time map of the electric field status of all wearers and automatically pops up an alarm window to notify the safety administrator to intervene in the event of an emergency. See [link to alarm logic] for details. Figure 4 The logic flow diagram shown includes a state machine consisting of threshold comparison, duration judgment, and alarm level decision, ensuring that the response logic is rigorous and reliable.

[0029] Furthermore, the system employs a low-power design, powered by a built-in rechargeable lithium battery with a capacity of 5000 mAh and a nominal voltage of 3.7V. In typical operating mode (i.e., sampling frequency 1000Hz, LED constantly lit, no alarm trigger), the system's total power consumption is less than 600 milliwatts, achieving a battery life of 8 hours. The system supports fast charging technology, using a USB Type-C interface with an input specification of 5V / 3A, and can charge to 80% in 30 minutes. The main control unit integrates a battery power monitoring circuit, calculating the remaining power in real time using a coulomb counter and activating a low-power warning when the battery level drops below 20%: at this time, all visual indicator units flash yellow slowly, while the tactile unit performs a gentle vibration. The system also features a single self-test function, completing sensor calibration, communication testing, storage read / write verification, and power status checks within 10 seconds of power-on. The self-test result is displayed on the helmet's LED as green (normal) or red (fault). With a mean time between failures (MTBF) exceeding 10,000 hours, key components have passed IEC 61000-4 series electromagnetic compatibility tests and GB / T 2423 environmental reliability tests.

[0030] To further illustrate the practical application effect of this invention, the following specific application scenario is constructed: A power maintenance worker wearing the protective clothing described in this invention enters a 500 kV substation for routine inspection. After the system starts, it automatically loads the "substation indoor" operation mode, with the safety threshold set at 5 kV / m. When the worker approaches the main transformer area, the helmet and clothing sensors detect that the electric field strength has increased to 6 kV / m (level 3), and the corresponding LED immediately turns yellow, while the speaker inside the helmet emits a continuous buzzer. The worker realizes the risk and retreats, the electric field strength drops back to 3 kV / m (level 2), the indicator returns to blue, and the alarm stops. Subsequently, the worker needs to observe a section of live busbar at close range, entering the permitted work area. The system switches to the "live work" mode, and the threshold is raised to 15 kV / m. During this process, the glove sensor continuously monitors the electric field on the hand to ensure operational safety. If someone inadvertently approaches an abnormal discharge point, the electric field strength will suddenly rise to 18 kV / m (Level 5), and the system will immediately trigger an emergency alarm: red LEDs on both gloves will flash, a high-frequency alarm will sound on the helmet, and there will be strong vibrations in the shoulders and palms. At the same time, the back-end monitoring center will receive a real-time alarm, and the dispatcher can remotely check the personnel's status. Throughout the process, the system records the complete electric field change curve and warning events, providing data support for post-event safety analysis.

[0031] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements can be made without departing from the principle of the present invention, and these improvements should also be considered within the scope of protection of the present invention.

Claims

1. A method for constructing and using a protective suit with an electric field indicator, characterized in that: The specific steps include the following: Step 1: Construct a distributed electric field sensing network by deploying miniature electric field sensor nodes on key parts of the protective clothing, such as the helmet, shirt, pants, gloves, and safety shoes, to form a spatial electric field intensity acquisition array covering the entire body. Step 2: Collect multi-dimensional electric field data. The electric field strength, frequency components and changing trends at the location are measured synchronously through the micro electric field sensor node, and the original electric field signal is continuously acquired at a preset sampling frequency. Step 3: Process and analyze the electric field signal. The original electric field signal is amplified, filtered, and converted from analog to digital. The effective electric field feature value is extracted using digital signal processing algorithms. The current electric field environment is then graded and evaluated based on a preset electric field strength level classification standard. Step 4: Generate multimodal indication signals. Based on the electric field strength level evaluation results, drive the visual indication unit, auditory alarm unit and tactile feedback unit integrated in the corresponding parts to generate linked indication signals. Step 5: Execute intelligent area warning. When the detected electric field strength exceeds the preset safety threshold, a graded alarm mechanism is triggered. The wearer is alerted through a combination of sound and light, and the time, location and intensity of the warning event are recorded.

2. The method of constructing a protective garment with electric field indication according to claim 1, wherein: The preset sampling frequency is 1000Hz, the acquisition accuracy of the original electric field signal is ±2%, and the miniature electric field sensor node has a built-in temperature compensation circuit to eliminate the influence of ambient temperature changes on the measurement results.

3. The method of constructing a protective garment with an electric field indicator according to claim 1, wherein: The digital signal processing algorithm includes Fast Fourier Transform and digital filtering. The effective electric field characteristic values ​​include the mean, peak and frequency components of the electric field strength. The electric field strength level is divided into 5 levels, corresponding to safety, attention, warning, danger and emergency status, respectively. The response time of the graded assessment is less than 50ms.

4. The method of constructing a protective garment with electric field indication according to claim 1, wherein: The preset safety threshold is dynamically configured according to the type of working environment. It is set to 5kV / m for indoor areas of substations, 10kV / m for areas under transmission lines, and 15kV / m for live-line working areas. The threshold configuration accuracy is ±0.5%.

5. The method of constructing a protective garment with electric field indication according to claim 1, wherein: The graded alarm mechanism includes three levels: primary warning, intermediate alarm and emergency alarm. When the primary warning is triggered, only the visual indication unit is activated. When the intermediate alarm is triggered, both the visual and auditory alarm units are activated simultaneously. When the emergency alarm is triggered, the visual, auditory and tactile feedback units are activated simultaneously.

6. A system of protective clothing with electric field indication applied to the method of any one of claims 1 to 5, characterized in that: include: The micro electric field sensor node, multimodal indication unit, main control processing module, wireless communication unit and power management module are deployed on a wearable carrier; The micro electric field sensor node, multimodal indication unit, wireless communication unit, and power management module are all connected to the main control processing module and are controlled by the main control processing module. The wearable devices include helmets, shirts, pants, gloves, and safety shoes.

7. The system of claim 6, wherein: The visual indicator unit uses a multi-color light-emitting diode array to display green, blue, yellow, orange or red according to the electric field strength level. The light intensity is adjustable, and the maximum brightness reaches 1000 cd / m².

8. The system according to claim 6, characterized in that: The miniature electric field sensor node uses an electric field sensing chip based on microelectromechanical systems (MEMS) technology. The sensing sensitivity is 1V / m, the dynamic measurement range is 100V / m~30kV / m, and the operating temperature range is -40℃~85℃. Each sensor node is independently encapsulated in a flexible waterproof shell and connected to the main control unit through a flexible circuit.

9. The system according to claim 6, characterized in that: The auditory alarm unit uses a miniature piezoelectric speaker, which can emit warning sounds of different frequencies and rhythms. The sound pressure level is 70dB~90dB at a distance of 10cm, and it supports multi-level volume adjustment.

10. The system according to claim 6, characterized in that: The tactile feedback unit uses an eccentric rotor motor, which is installed on the inside of the glove and at the shoulder of the shirt. It transmits tactile warning signals to the wearer through different vibration modes. The vibration intensity is divided into 3 levels, and the duration is set in the range of 0.5s to 3s.

Images