Electric shock prevention safety monitoring platform for electric power engineering

Abstract

This invention belongs to the field of engineering safety and discloses a power engineering electric shock prevention safety monitoring platform, including a data acquisition module for collecting real-time electrical parameters, environmental parameters, and operational status parameters at key locations in the power engineering construction area; a generation module for dynamically generating an electrical safety dynamic threshold that matches the current working conditions based on the environmental parameters and operational status parameters; a comparison module for comparing the real-time electrical parameters with the electrical safety dynamic threshold; and an early warning module for determining an electric shock risk and executing corresponding early warning operations when the real-time electrical parameters exceed the electrical safety dynamic threshold. This invention, by constructing an adaptive threshold generation mechanism based on environmental parameters and operational status parameters, effectively overcomes the problems of poor environmental adaptability, inability to dynamically adjust, and low early warning accuracy of fixed threshold judgment logic in existing technologies, significantly improving operational safety.

Description

Technical Field

[0001] This invention relates to the field of engineering safety, and in particular to a power engineering electric shock prevention safety monitoring platform. Background Technology

[0002] Power grid construction involves a large number of high-voltage live equipment and complex line environments, making electric shock the primary risk threatening the lives of workers. To reduce the risk of electric shock, existing anti-electric shock systems typically employ the following technical means: First, current transformers and voltage transformers are installed at key nodes in the construction area (such as line access points and transformers) to collect electrical parameters in real time; second, a set of static safety thresholds (such as the maximum allowable current and the maximum voltage fluctuation range) are preset within the system; finally, when the monitored real-time electrical quantities exceed these preset thresholds, the system determines that there is a risk of electric shock and triggers passive protective measures such as audible and visual alarms or power outage protection.

[0003] However, the aforementioned judgment mechanism based on fixed thresholds has significant technical shortcomings in the complex and ever-changing power grid construction environment. These shortcomings are mainly reflected in: First, the threshold setting lacks environmental adaptability. The working environment of power grid construction is not constant; environmental factors such as temperature, humidity, and dust concentration can significantly affect the insulation performance and baseline values ​​of electrical parameters of equipment. For example, in a high-humidity environment in the early morning, a small leakage current may be more dangerous than in a dry environment. However, a fixed threshold system cannot sense environmental changes and still uses the same standard for judgment, which can easily lead to underreporting of real risks in harsh environments or frequent false alarms due to normal fluctuations in good environments.

[0004] Second, the threshold cannot be dynamically adjusted according to equipment and operational status. During construction, the starting and stopping of critical equipment (such as large power tools and temporary transformers) will generate normal surge currents or voltage fluctuations. Fixed threshold systems have difficulty distinguishing these normal operating condition changes from the characteristics of actual electric shock faults. In addition, when workers are detected by positioning technology to be approaching live parts, the system should enter a higher sensitivity alert state, but fixed threshold systems cannot proactively adjust the risk assessment threshold according to this dynamic event of "personnel approach," resulting in a rigid protection strategy and failing to achieve refined management of "strict judgment when people are close and judgment when people are far away."

[0005] In summary, existing electric shock prevention technologies suffer from low warning accuracy, poor environmental adaptability, and insufficient intelligence in complex working conditions due to their use of static, fixed threshold judgment logic that is decoupled from the environment and behavior. Summary of the Invention

[0006] The purpose of this invention is to disclose a power engineering electric shock prevention safety monitoring platform to address the shortcomings of existing graph-level task methods.

[0007] To achieve the above objectives, the present invention provides the following technical solution: This invention provides a power engineering electric shock prevention safety monitoring platform, comprising: The data acquisition module is used to collect real-time electrical parameters, environmental parameters, and operational status parameters at key locations in the power engineering construction area. The generation module is used to dynamically generate electrical safety dynamic thresholds that match the current working conditions based on the environmental parameters and the operating status parameters. The comparison module is used to compare the real-time electrical parameters with the electrical safety dynamic threshold. The early warning module is used to determine the risk of electric shock when the real-time electrical parameters exceed the electrical safety dynamic threshold, and to perform corresponding early warning operations.

[0008] Preferably, the key locations include: The connection point and branch point of the power line, wherein the connection point includes the T-junction between the line and the busbar or equipment, and the branch point includes the branch tower of the line and the inlet and outlet terminals of the cable junction box; Key equipment in the power engineering construction area, including the circuit breaker contacts and disconnector contacts of transformers; Conductive structures that construction workers may come into contact with, including equipment housings and temporary grounding wires.

[0009] Preferably, the real-time electrical parameters include real-time current values ​​and voltage fluctuation amplitude values; The environmental parameters include the ambient humidity value; The operational status parameters include the minimum spatial distance between the operator and the live parts.

[0010] Preferably, the step of dynamically generating electrical safety dynamic thresholds that match the current operating conditions based on the environmental parameters and the operating status parameters includes: Obtain the preset basic electrical safety threshold; A humidity correction factor is determined based on the ambient humidity value, and the humidity correction factor is negatively correlated with the ambient humidity value. A distance correction coefficient is determined based on the minimum spatial distance, and the distance correction coefficient is positively correlated with the minimum spatial distance; The basic electrical safety threshold is multiplied by the humidity correction factor and the distance correction factor to generate the dynamic electrical safety threshold.

[0011] Preferably, obtaining the preset basic electrical safety threshold includes: Obtain preset base current threshold and base voltage threshold, wherein the base current threshold corresponds to the real-time current value and the base voltage threshold corresponds to the voltage fluctuation amplitude value; The generation of the electrical safety dynamic threshold includes the generation of a current dynamic threshold and a voltage dynamic threshold.

[0012] Preferably, determining the humidity correction factor based on the ambient humidity value includes: Obtain a preset humidity-correction coefficient mapping relationship, wherein the ambient humidity value and the humidity correction coefficient are negatively correlated in the mapping relationship; Based on the currently collected ambient humidity value and the humidity-correction coefficient relationship, the corresponding humidity correction coefficient is determined.

[0013] Preferably, determining the distance correction coefficient based on the minimum spatial distance includes: Obtain a preset distance-correction coefficient mapping relationship, wherein the minimum spatial distance is positively correlated with the distance correction coefficient; The minimum spatial distance currently collected is input into the distance-correction coefficient mapping relationship to determine the corresponding distance correction coefficient.

[0014] Preferably, comparing the real-time electrical parameters with the electrical safety dynamic threshold includes: The real-time current value is compared with the current dynamic threshold, and the voltage fluctuation amplitude value is compared with the voltage dynamic threshold; If the real-time current value exceeds the current dynamic threshold and the voltage fluctuation amplitude value exceeds the voltage dynamic threshold, then it is determined that there is a risk of electric shock.

[0015] Preferably, the execution of the corresponding early warning operation includes issuing an audible and visual alarm signal or cutting off the power supply to the corresponding area.

[0016] Preferably, it also includes an optimization module, which is used for: Record the ambient humidity value, the minimum spatial distance, and the real-time electrical parameters at the time of triggering each time a risk of electric shock is determined to exist; The distance-correction factor mapping relationship and the humidity-correction factor mapping relationship are optimized and updated based on historical data.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention addresses the problem of "lack of environmental adaptability in threshold setting" mentioned in the background art by introducing ambient humidity as a key parameter for dynamic threshold generation. Specifically, when increased ambient humidity in the work area leads to a decrease in insulation performance, the generation module automatically lowers the electrical safety dynamic threshold based on the negative correlation of the humidity correction coefficient, enabling the system to enter a more sensitive state and avoiding the risk of missing small leakage currents in high-humidity environments. Conversely, in dry environments, the dynamic threshold is correspondingly increased, reducing false alarms caused by normal electrical fluctuations. Therefore, the monitoring platform of this invention can intelligently adjust judgment criteria according to real-time environmental changes, significantly improving the accuracy of early warnings.

[0018] This invention overcomes the deficiency in prior art where "thresholds cannot be dynamically adjusted according to the work status" by collecting the minimum spatial distance between workers and live parts and using this as the core basis for generating dynamic thresholds. When workers approach live parts, the distance correction coefficient decreases as the minimum spatial distance decreases, causing the electrical safety dynamic threshold to decrease accordingly, achieving a "strict judgment upon proximity" safety protection strategy. When workers move away, the threshold returns to normal levels, avoiding ineffective warnings caused by oversensitivity. This adaptive threshold adjustment mechanism based on real-time personnel location can dynamically adjust monitoring sensitivity according to the work risk level, achieving refined safety management.

[0019] This invention simultaneously collects real-time current and voltage fluctuation amplitude values, and generates corresponding dynamic current and voltage thresholds respectively. The comparison module employs a "dual-parameter simultaneous over-limit" judgment logic (real-time current exceeding the dynamic current threshold and voltage fluctuation amplitude exceeding the dynamic voltage threshold) to determine the existence of electric shock risk. This composite judgment mechanism effectively distinguishes between surge currents generated during normal equipment start-up and shutdown and the characteristics of actual electric shock faults, avoiding misjudgments caused by single-parameter judgments and significantly improving the accuracy and reliability of risk identification. This invention also includes an optimization module that records the ambient humidity, minimum spatial distance, and real-time electrical parameters each time an alert is triggered, and optimizes and updates the mapping relationship between humidity correction coefficients and distance correction coefficients based on historical data. This feedback mechanism enables the monitoring platform to continuously optimize the parameters of the adaptive threshold model based on actual operating data, achieving continuous iterative improvement in protection performance and overcoming the limitation of traditional fixed threshold systems that cannot learn from historical data.

[0020] In summary, this invention effectively overcomes the problems of poor environmental adaptability, inability to dynamically adjust, and low early warning accuracy of fixed threshold judgment logic in existing technologies by constructing an adaptive threshold generation mechanism based on environmental parameters and operational status parameters. It achieves accurate identification and intelligent early warning of electric shock risks in power engineering construction areas, significantly improving operational safety. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of a power engineering electric shock prevention safety monitoring platform according to the present invention.

[0023] Figure 2 This is a schematic diagram illustrating the generation process of the electrical safety dynamic threshold of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] refer to Figure 1 This invention provides a power engineering electric shock prevention safety monitoring platform, comprising: The data acquisition module is used to collect real-time electrical parameters, environmental parameters, and operational status parameters at key locations in the power engineering construction area.

[0026] Preferably, the key locations include: The connection point and branch point of the power line, wherein the connection point includes the T-junction between the line and the busbar or equipment, and the branch point includes the branch tower of the line and the inlet and outlet terminals of the cable junction box; Key equipment in the power engineering construction area, including the circuit breaker contacts and disconnector contacts of transformers; Conductive structures that construction workers may come into contact with, including equipment housings and temporary grounding wires.

[0027] In power engineering construction, the connection and branching of lines are the most sensitive and drastic parts for changes in electrical parameters, and are also high-risk areas for electric shock caused by poor contact, insulation damage or misoperation.

[0028] A "T-connection" refers to the connection point in a power line where a branch line (sub-line) is drawn from a main line (trunk line). It is named for its resemblance to the letter "T". In physical space, a T-connection may appear as the bolted connection between the line and the busbar, the clamp connection between the line and the top of the transformer's high-voltage bushing, or the contact point between the line and the disconnector switch terminal. At these locations, contact resistance may exist at the conductor connection, making them prone to overheating when large currents flow. This can accelerate insulation aging and even generate electric arcs, thus making them key monitoring targets.

[0029] Branch towers, on the other hand, refer to the branch points on specific towers in overhead transmission lines where the line needs to supply power in different directions. These points are typically equipped with tension clamps, jumpers, or drain wires, which are weak points in the electrical connections. Under wind, icing, or vibration, these connections may loosen, leading to abnormal fluctuations in electrical parameters.

[0030] Cable junction boxes (also known as T-junction boxes or branch boxes) are used in underground cable networks or temporary power distribution at construction sites to branch or connect cable lines. The incoming and outgoing terminals inside are the connection points between the cable cores and the busbars, and are also locations where insulation is easily damaged or exposed to moisture. Monitoring the electrical parameters of these terminals can effectively detect leakage risks caused by construction damage or environmental corrosion.

[0031] Furthermore, key equipment is the core of power grid energy conversion and control, and certain parts of its interior or surface pose extremely high risks during operation. This invention specifically defines: Transformer circuit breaker disconnection: A circuit breaker is a switching device used to connect or disconnect a circuit. The term "break" refers to the air gap formed between the moving and stationary contacts of a circuit breaker when it is in the open state. During electrical engineering construction, if it is not confirmed that the circuit breaker is in the open state and grounding protection is in place, workers may accidentally enter a live compartment. Furthermore, at the moment the circuit breaker is closed, pre-breakdown or reignition may occur between the breaks, generating high-frequency electrical interference. Therefore, monitoring the voltage and current at the circuit breaker breaks (i.e., both sides of the contacts) is crucial for determining whether it reliably isolates the power supply.

[0032] Disconnector switch contacts: Disconnecting switches are primarily used to provide a clear electrical disconnect point during maintenance. Their contacts are exposed to air, and over time, oxidation, dirt, or improper operation can lead to poor contact. When current flows, poorly contacting contacts can overheat or even arc, posing a safety threat to nearby personnel. By placing monitoring points at the moving and stationary contacts of the disconnecting switch, its on / off status and contact quality can be monitored in real time.

[0033] Furthermore, besides directly charged bodies, metal structures that were originally uncharged but became charged due to malfunction or induction are also a major cause of electric shock injuries and deaths. This invention specifically focuses on: Equipment casing. Under normal circumstances, the metal casing of all electrical equipment (such as switch cabinets, distribution boxes, motors, etc.) should be maintained at zero potential through a grounding wire. However, when internal insulation damage leads to a "grounding fault," the casing will carry a dangerous voltage. Operators are highly susceptible to electric shock if they operate the equipment or accidentally touch the casing. Monitoring the casing's voltage to ground or the leakage current flowing through it is an effective means of preventing indirect electric shock.

[0034] Temporary grounding wires. In power outage work areas, temporary grounding wires are core equipment for ensuring the safety of workers. Their function is to create an artificial grounding short-circuit point on the de-energized equipment to prevent sudden power restoration. However, during construction, temporary grounding wires may be torn off due to rough handling, become loose due to insecure connections, or burn out due to the passage of large currents. Once the grounding wire fails, the de-energized equipment will lose protection. Therefore, monitoring the temporary grounding wire itself—whether current is flowing through it (to determine if it has been accidentally removed or broken) or whether it is in a properly clamped state—is a crucial step in ensuring the effectiveness of grounding protection.

[0035] Preferably, the real-time electrical parameters include real-time current values ​​and voltage fluctuation amplitude values; The environmental parameters include the ambient humidity value; The operational status parameters include the minimum spatial distance between the operator and the live parts.

[0036] Furthermore, real-time electrical parameters refer to quantitative data reflecting the power grid's operating status and electrical safety condition, collected in real-time by sensors at the power engineering construction site. Specifically, this invention defines them as follows: The first type is the real-time current value, which refers to the instantaneous current flowing through a conductor at a critical location, measured by a current transformer at a specific moment, and is measured in amperes (A). This value directly reflects the load condition of the line or equipment. In electric shock risk monitoring, an abnormal increase in the real-time current value may indicate a phase-to-phase short circuit, a phase-to-ground short circuit, or equipment overload. When a person experiences an electric shock, the shock current is superimposed on the original load current, causing a sudden change in the current value.

[0037] The second type is the voltage fluctuation amplitude value. This refers to the change in the instantaneous voltage value between its maximum and minimum values ​​within a preset time window (e.g., within one power frequency cycle of 20 milliseconds), measured in volts (V). It's important to note that the voltage fluctuation amplitude value differs from the effective voltage value; it focuses more on reflecting the severity of instantaneous voltage changes. In the event of an arcing ground fault or electric shock, the grid voltage often exhibits severe instantaneous fluctuations, which are more sensitive than simple changes in the effective voltage value. Therefore, using the voltage fluctuation amplitude value as a monitoring parameter allows for the earlier detection of potential electric shock fault characteristics.

[0038] Furthermore, ambient humidity refers to the relative humidity of the air at the work site, expressed as a percentage (%RH). Relative humidity reflects the degree of water vapor saturation in the air. In the field of power engineering, humidity is a key factor affecting the performance of electrical insulation. When ambient humidity increases, the dielectric strength of the air decreases, and the leakage current along the surface of equipment such as insulators and cable terminations increases. Voltage levels that are safe in dry environments may trigger breakdown discharges in humid environments. Therefore, using ambient humidity as the basis for dynamic threshold adjustment allows the monitoring platform to detect changes in insulation conditions and thus reasonably adjust risk assessment criteria.

[0039] Ambient humidity values ​​can be obtained by deploying temperature and humidity sensors at typical locations within the power engineering construction area (such as outdoor work sites, cable wells, and switch stations). These sensors preferably employ polymer thin-film capacitive or resistive humidity-sensitive elements, capable of outputting analog or digital signals corresponding to the ambient humidity in real time. The acquisition module periodically reads the output values ​​of these sensors through an analog acquisition channel or a digital communication interface (such as RS485 or Modbus) to obtain the current ambient humidity data.

[0040] Furthermore, the operational status parameters refer to data reflecting the real-time activity status of construction workers and their spatial relationship with energized equipment. Specifically, in this invention, they are defined as follows: Minimum spatial distance between workers and live parts: This refers to the shortest straight-line distance, measured in meters (m), between any part of a worker's body (including handheld tools) and a nearby known live conductor (such as exposed busbars, energized lines, or live terminals of equipment) at any given moment. This distance is a core indicator for determining whether a worker is in a hazardous proximity zone. The smaller the distance, the higher the risk of electric shock, and the higher the sensitivity of the system should be.

[0041] The minimum spatial distance can be obtained in the following ways: UWB (Ultra-Wideband) positioning tags are deployed on the safety helmets or smart shoulder lights worn by the workers. Simultaneously, multiple UWB positioning base stations are deployed at fixed locations within the construction area (such as poles, fences, and equipment foundations). Using UWB positioning technology, the system can calculate the precise coordinates of the workers in three-dimensional space in real time (accuracy up to 10-30 centimeters). The monitoring platform pre-stores the three-dimensional coordinate information of energized parts at key locations. The calculation module performs spatial geometric calculations based on the real-time coordinates of the workers and the coordinates of the energized parts to determine the straight-line distance between the two points. When multiple energized parts exist, the minimum value among all calculation results is taken as the "minimum spatial distance."

[0042] Alternatively, in simpler operating environments, laser rangefinders or millimeter-wave radar can be used for auxiliary ranging. For example, a ranging sensor can be installed in front of critical equipment (such as switch cabinets) to directly measure the real-time distance between personnel and equipment when they enter the detection area.

[0043] The generation module is used to dynamically generate electrical safety dynamic thresholds that match the current working conditions based on the environmental parameters and the operating status parameters.

[0044] After obtaining environmental parameters and operational status parameters, the corresponding dynamic thresholds for electrical safety can be dynamically generated based on these parameters.

[0045] Preferred, such as Figure 2 As shown, the step of dynamically generating electrical safety dynamic thresholds that match the current operating conditions based on the environmental parameters and the operating status parameters includes: Obtain the preset basic electrical safety threshold; A humidity correction factor is determined based on the ambient humidity value, and the humidity correction factor is negatively correlated with the ambient humidity value. A distance correction coefficient is determined based on the minimum spatial distance, and the distance correction coefficient is positively correlated with the minimum spatial distance; The basic electrical safety threshold is multiplied by the humidity correction factor and the distance correction factor to generate the dynamic electrical safety threshold.

[0046] Specifically, basic electrical safety thresholds refer to the critical values ​​of electrical parameters pre-set according to national or industry safety standards and applicable to normal operating conditions, without considering environmental factors or operational status. For example, according to relevant standards such as GB / T13870.1, the basic current threshold can be preset to 30mA (human perception threshold or escape threshold), and the basic voltage threshold to 50V (AC safety extra-low voltage). These basic thresholds are stored in the monitoring platform's storage unit as reference values ​​for subsequent dynamic adjustments. It should be noted that basic electrical safety thresholds are not static; their specific values ​​can be pre-set differently according to different voltage levels and different work types (such as power outage work and live work).

[0047] Specifically, after determining the humidity correction factor and the distance correction factor, the generation module calculates according to the following formula to generate an electrical safety dynamic threshold that matches the current operating conditions:

[0048] in, For electrical safety dynamic thresholds, Basic electrical safety thresholds This is the humidity correction factor. This is the distance correction factor.

[0049] Taking a base current threshold of 30mA as an example: In a dry environment And people stay away At that time, the dynamic current threshold is 30mA; In high humidity environments And personnel enter the danger approach zone At that time, the dynamic threshold current is 30mA x mA. Through this multiplication operation, the two correction coefficients can produce a synergistic effect. In the most dangerous situation (high humidity + personnel proximity), the dynamic threshold is significantly reduced, enabling the monitoring platform to detect minute leakage current or voltage fluctuations, thereby providing early warning and buying valuable time for workers to avoid danger.

[0050] Preferably, obtaining the preset basic electrical safety threshold includes: Obtain preset base current threshold and base voltage threshold, wherein the base current threshold corresponds to the real-time current value and the base voltage threshold corresponds to the voltage fluctuation amplitude value; The generation of the electrical safety dynamic threshold includes the generation of a current dynamic threshold and a voltage dynamic threshold.

[0051] Setting the basic threshold is an important preliminary step in the technical solution of this invention, and its rationality directly affects the accuracy and reliability of subsequent dynamic threshold generation.

[0052] It should be noted that the basic current threshold and basic voltage threshold described in this invention are not arbitrarily set, but are determined comprehensively based on relevant national or industry safety standards, electrical safety human physiology experimental data, and practical experience in power engineering. These basic thresholds represent the critical values ​​of electrical parameters considered safe or risk-free under standard environmental conditions (temperature 20℃±5℃, relative humidity 45%RH±10%RH) and with workers at a safe distance (≥2.0 meters from live parts).

[0053] The base current threshold corresponds to the real-time current value, and its setting is mainly based on the physiological effects of current on the human body.

[0054] According to standards such as IEC 60479-1 and GB / T 13870.1, different amplitude ranges of power frequency alternating current passing through the human body correspond to different physiological responses: Perception threshold (approximately 0.5mA): The human body begins to experience a tingling sensation, but generally there is no harm. Release threshold (approximately 10-30mA): The maximum current that an adult can voluntarily release from a charged object. Exceeding this value may cause muscle spasms and make it impossible to voluntarily release the object. Ventricular fibrillation threshold (approximately 50-100mA or higher): a current value that can cause cardiac arrhythmia and potentially be fatal.

[0055] In power engineering construction scenarios, the primary objective of an electric shock protection system is to issue a warning before the current reaches a level that causes substantial harm to the human body. Therefore, the optimal base current threshold is the lower limit of the escape threshold, i.e., between 10mA and 30mA. Specific values ​​can be differentiated based on the voltage level and risk level of the construction operation. For construction work on low-voltage power distribution systems (AC 220V / 380V), the basic current threshold can be set to 30mA, which corresponds to the upper limit of the human body's escape threshold range, providing a high level of safety redundancy. For construction operations involving high-voltage equipment, considering factors such as electric field induction and high-resistance grounding, the foundation current threshold can be appropriately relaxed to 50mA to avoid frequent false alarms caused by induced current. For operations involving confined spaces (such as cable wells and metal silos), the basic current threshold should be set strictly, preferably 10mA, because it is difficult to escape after electric shock and rescue is difficult.

[0056] The base voltage threshold corresponds to the voltage fluctuation amplitude. It is important to note that the "voltage fluctuation amplitude" referred to here refers to the instantaneous change in voltage, not the rated voltage or the effective value of the phase voltage. Therefore, the method for determining the base voltage threshold differs from the conventional voltage effective value safety threshold (such as the safety extra-low voltage of 50V).

[0057] The determination of the base voltage threshold is mainly based on the following principles: Based on voltage fluctuation statistics under normal operating conditions: Under normal grid operation, voltage fluctuations occur within a certain range due to factors such as load changes and reactive power compensation switching. According to relevant standards such as GB / T 12325, the permissible deviation of 220V single-phase power supply voltage is +7% to -10% of the standard voltage. Therefore, the voltage fluctuation amplitude under normal operating conditions typically does not exceed 15V to 20V. Thus, the base voltage threshold should be higher than this normal fluctuation range to avoid false alarms caused by normal fluctuations.

[0058] Based on the characteristic voltage change of arc discharge: When arc discharge occurs due to insulation breakdown or electric shock, the grid voltage often experiences a violent instantaneous drop or oscillation. Experimental data shows that the instantaneous voltage change caused by arc discharge is typically above 30V to 50V. Therefore, a base voltage threshold is set at a level that can effectively identify the characteristics of arc discharge.

[0059] Taking all the above factors into consideration, the preferred base voltage threshold is set between 30V and 50V. The specific value can be adjusted based on the voltage level of the monitoring point and the grounding method of the power supply system. For directly grounded low-voltage power distribution systems, the base voltage threshold can be set to 30V; For ungrounded systems or high-resistance grounded systems, considering the increase in voltage of non-faulty phases when a single-phase ground fault occurs, the base voltage threshold can be appropriately increased to 40V-50V.

[0060] It should be further noted that the specific values ​​of the aforementioned basic current threshold and basic voltage threshold are not fixed in the monitoring platform. The platform typically provides a parameter configuration interface, allowing safety management personnel to adaptively adjust and optimize the basic thresholds based on the specific work type (e.g., power outage work, live-line work), work environment (e.g., indoor, outdoor, confined space), and the skill level of the construction team. This configurability further enhances the flexibility and applicability of the technical solution of this invention.

[0061] The baseline current and voltage thresholds determined using the above method not only follow the objective laws of human safety physiology but also consider the fluctuation characteristics of normal power system operation, providing scientific and reasonable benchmark values ​​for the subsequent generation of dynamic thresholds. Based on this, dynamic corrections are made incorporating environmental humidity and personnel distance to ensure that the final generated dynamic current and voltage thresholds meet both safety requirements and have good anti-interference capabilities.

[0062] Preferably, determining the humidity correction factor based on the ambient humidity value includes: Obtain a preset humidity-correction coefficient mapping relationship, wherein the ambient humidity value and the humidity correction coefficient are negatively correlated in the mapping relationship; Based on the currently collected ambient humidity value and the humidity-correction coefficient relationship, the corresponding humidity correction coefficient is determined.

[0063] Specifically, this invention aims to address the problem of "lack of environmental adaptability in threshold setting" mentioned in the background art. As stated above, ambient humidity directly affects the air insulation performance and the magnitude of leakage current on the equipment surface.

[0064] In practice, the humidity correction coefficient is a dimensionless value, and its range can be set according to the actual working conditions, for example, between 0.5 and 1.5. The humidity correction coefficient is negatively correlated with the ambient humidity value. Its physical meaning is that when the ambient humidity increases, the insulation performance decreases, and even small electrical abnormalities may cause electric shock accidents. Therefore, it is necessary to lower the threshold to improve the system sensitivity. Conversely, when the ambient humidity decreases, the insulation performance recovers, and the threshold can be appropriately increased to avoid false alarms caused by normal electrical fluctuations.

[0065] For example, this negative correlation can be defined using linear functions or piecewise functions: When the ambient humidity is ≤40%RH (dry environment), the humidity correction factor is 1.0 (no adjustment). When the ambient humidity is between 40%RH and 90%RH, the humidity correction factor decreases linearly from 1.0 to 0.6. When the ambient humidity is ≥90%RH (high humidity environment), the humidity correction factor is 0.6 (the threshold is reduced to 60% of the base value, entering a high sensitivity state).

[0066] Preferably, determining the distance correction coefficient based on the minimum spatial distance includes: Obtain a preset distance-correction coefficient mapping relationship, wherein the minimum spatial distance is positively correlated with the distance correction coefficient; The minimum spatial distance currently collected is input into the distance-correction coefficient mapping relationship to determine the corresponding distance correction coefficient.

[0067] Specifically, the present invention also needs to solve the problem of "threshold cannot be dynamically adjusted according to the work status" pointed out in the background art, especially to achieve the refined management goal of "strict judgment when people are near and judgment when people are far away".

[0068] The distance correction factor is also a dimensionless value, and its range can be set between 0.3 and 1.2. The distance correction factor is positively correlated with the minimum spatial distance, which means that when the operator is close to the live part, the risk of electric shock increases sharply, and the threshold needs to be significantly reduced to detect any minor electrical anomalies; when the operator is away, the risk decreases, and the threshold can return to the normal level or slightly higher than the normal level (considering that the tolerance for false alarms can be appropriately relaxed when the operator is not present).

[0069] For example, a piecewise function can be used to define this positive correlation: When the minimum spatial distance is ≤0.5 meters (dangerous approach zone), the distance correction factor is 0.3 (the threshold is reduced to 30% of the base value, in an extremely sensitive state). When the minimum spatial distance is between 0.5 meters and 2.0 meters (warning zone), the distance correction factor increases linearly from 0.3 to 1.0; When the minimum spatial distance is ≥2.0 meters (safe zone), the distance correction factor = 1.0 (threshold is restored to the base value); Furthermore, when the minimum spatial distance is ≥5.0 meters and there are no people nearby, the distance correction coefficient can be set to 1.2 (the threshold is slightly higher than the base value to reduce the probability of false alarms).

[0070] In summary, the technical solution defined in this section introduces a humidity correction coefficient that is negatively correlated with ambient humidity, enabling the electrical safety threshold to dynamically adjust according to changes in environmental insulation conditions. This avoids missed alarms in high-humidity environments and false alarms in dry environments, significantly improving early warning accuracy. By introducing a distance correction coefficient that is positively correlated with minimum spatial distance, the monitoring platform can dynamically adjust its sensitivity based on the real-time location of personnel, truly realizing a differentiated protection strategy of "strict judgment when close to people, judgment when far away," overcoming the rigidity of traditional fixed threshold systems. By multiplying the humidity correction coefficient and the distance correction coefficient, the two factors are superimposed and work synergistically to generate the lowest dynamic threshold under the most dangerous conditions, achieving a scientific assessment of complex risks and providing personnel with a protection level matching the risk level.

[0071] The comparison module is used to compare the real-time electrical parameters with the electrical safety dynamic threshold.

[0072] After obtaining the dynamic threshold for electrical safety, it is possible to determine whether the real-time electrical parameters are greater than the corresponding threshold and whether there is a safety risk.

[0073] Preferably, comparing the real-time electrical parameters with the electrical safety dynamic threshold includes: The real-time current value is compared with the current dynamic threshold, and the voltage fluctuation amplitude value is compared with the voltage dynamic threshold; If the real-time current value exceeds the current dynamic threshold and the voltage fluctuation amplitude value exceeds the voltage dynamic threshold, then it is determined that there is a risk of electric shock.

[0074] The early warning module is used to determine the risk of electric shock when the real-time electrical parameters exceed the electrical safety dynamic threshold, and to perform corresponding early warning operations.

[0075] Preferably, the execution of the corresponding early warning operation includes issuing an audible and visual alarm signal or cutting off the power supply to the corresponding area.

[0076] Specifically, the audible and visual alarm signal is the first-level early warning operation of this invention. Its purpose is to remind workers, on-site supervisors, and other people in the vicinity of the site of the current risk of electric shock through strong sensory stimulation, so that they can take timely avoidance measures.

[0077] A loud (typically ≥85dB) buzzer, siren, or voice broadcast module can be used to issue an audible alarm signal. Preferably, the audible alarm uses a decibel increment or frequency variation pattern to distinguish it from other equipment noise at the construction site. For example, an intermittent warning sound can be issued at the initial stage of a risk, switching to a continuous high-decibel siren as the risk persists or the distance between personnel decreases. The voice broadcast module can issue clear instructions such as "Warning! Risk of electric shock, please evacuate immediately!"

[0078] High-brightness (typically ≥1000 lumens) rotating warning lights, strobe lights, or LED light strips can be used to emit light alarm signals. Preferably, red is used as the primary warning color, combined with a strobe effect to enhance visual impact. Light alarm signals are particularly important in dimly lit working environments (such as cable wells or nighttime construction).

[0079] Audible and visual alarms can be installed near key locations where there is a risk of electric shock (such as switchgear panels or tower crossarms) so that personnel working in the area can receive a warning immediately.

[0080] The alarm signal is simultaneously transmitted to the smart safety helmet, smart bracelet, or explosion-proof walkie-talkie worn by the worker via a wireless communication module (such as 4G / 5G, Wi-Fi, LoRa). The smart bracelet can generate vibration while emitting sound, ensuring that personnel can still perceive the risk in high-noise environments.

[0081] At the temporary monitoring center at the construction site or on the remote monitoring platform at headquarters, an alarm window pops up and displays information such as the location of the risk, the risk level, and on-site video, notifying safety management personnel to intervene and handle the situation.

[0082] Specifically, for different types of power supply circuits, this invention adopts differentiated power-off control methods: For low-voltage power distribution systems, the early warning module controls the shunt trip unit of the corresponding circuit breaker by outputting a dry contact signal or sending an IEC 61850 GOOSE message to achieve remote automatic tripping. Preferably, a circuit breaker with undervoltage tripping function is used to ensure that it will not automatically reclose after a power outage. For temporary power lines or power tool supply circuits, the early warning module controls the coil of an AC contactor to quickly cut off the power supply. For high-voltage equipment, the early warning module does not directly operate the high-voltage circuit breaker, but instead sends a signal to the substation's integrated automation system to request the disconnection of the upstream power switch supplying power to the construction area.

[0083] The corresponding area refers to the smallest area that has a direct electrical connection to the critical location where an electric shock risk is determined to exist.

[0084] For example, if the risk location is the cable compartment of a switchgear, the disconnection range is limited to the incoming circuit breaker of that switchgear, without affecting the normal power supply to other switchgear on the same busbar section; if the risk location is the T-connection of a temporary branch line, the disconnection range is limited to the upstream protection switch of that branch line. This minimal-range power outage strategy ensures personnel safety while minimizing the impact on construction progress and normal operations in other non-faulty areas.

[0085] Preferably, it also includes an optimization module, which is used for: Record the ambient humidity value, the minimum spatial distance, and the real-time electrical parameters at the time of triggering each time a risk of electric shock is determined to exist; The distance-correction factor mapping relationship and the humidity-correction factor mapping relationship are optimized and updated based on historical data.

[0086] Specifically, historical data does not refer to all operational data accumulated by the monitoring platform, but rather specifically to the key feature data extracted and stored by the optimization module from the acquisition and generation modules each time a risk of electric shock is determined. Each determination of a risk of electric shock creates a historical data entry.

[0087] Specifically, each historical record includes information in at least the following four dimensions: Ambient humidity value at the trigger time: This refers to the ambient humidity value acquired and recorded in real time by the acquisition module when the electric shock risk assessment occurs, expressed in %RH. This data reflects the environmental insulation conditions at the time the risk occurs.

[0088] Minimum spatial distance at the moment of triggering: This refers to the minimum spatial distance between the worker and the live part at the time the electric shock risk assessment occurs, expressed in meters (m). This data reflects the degree of personnel exposure when the risk occurs.

[0089] Real-time electrical parameters at the moment of triggering: These refer to the key electrical data that leads to the determination of the risk of electric shock, specifically including the real-time current value (in A) and voltage fluctuation amplitude (in V) at the moment of triggering. These data are the direct basis for determining the risk.

[0090] Location identifier of the trigger time: Historical data also includes the identifier of the key location where the risk occurred (such as equipment number, tower number) so that subsequent differentiated optimization can be carried out for the characteristics of different locations.

[0091] The optimization module stores this historical data in chronological order in the database, forming the base dataset for optimization.

[0092] Specifically, before optimizing and updating the mapping relationship, the optimization module first cleans and filters the original historical data, removing abnormal data caused by sensor failure, communication interference, or human error, to ensure that the data used for optimization has sufficient credibility.

[0093] The specific screening rules preferably include at least one of the following: Records whose electrical parameters exceed the sensor's range are excluded; Remove abnormal records with negative ambient humidity values ​​or values ​​greater than 100%RH; Remove records with negative minimum spatial distances; Remove redundant records that are repeatedly triggered at the same location within a very short time (e.g., within 1 second).

[0094] Only the cleaned and valid data can proceed to the subsequent optimization and update process.

[0095] Specifically, the humidity-correction factor mapping relationship defines the correspondence between ambient humidity values ​​and humidity correction factors. The goal of the optimization and update is to make the updated mapping relationship more accurately reflect "to what extent the base threshold should be reduced under the current humidity conditions to accurately identify the real risk while avoiding false alarms."

[0096] The specific implementation method includes the following steps: Historical data is grouped according to ambient humidity values. For example, data can be divided into intervals such as [0%RH, 5%RH), [5%RH, 10%RH], ..., [95%RH, 100%RH], with 5%RH as one interval.

[0097] The number of electric shock risk assessments within each humidity range was statistically analyzed, along with the average current value and average voltage fluctuation amplitude at the time of triggering.

[0098] For each humidity range, the theoretically applicable correction factor can be derived from the average electrical parameters at trigger within that range. For example, if the average current at trigger within a certain humidity range is 15mA and the base current threshold is 30mA, then the ideal correction factor under that humidity condition should be 15mA / 30mA = 0.5.

[0099] The ideal correction coefficients calculated for each humidity range are curve-fitted to generate a new humidity-correction coefficient mapping relationship. Polynomial fitting or piecewise linear fitting is preferred to ensure that the mapping relationship maintains the physical law that the overall relationship is negatively correlated with the ambient humidity value.

[0100] Specifically, the distance-correction coefficient mapping relationship defines the correspondence between the minimum spatial distance and the distance correction coefficient. The goal of the optimization update is to enable the updated mapping relationship to more accurately reflect "to what extent the basic threshold should be reduced under the current personnel distance conditions to achieve refined management of strict judgment when people are close and judgment when people are far away".

[0101] The implementation method is as follows: The historical data is grouped according to the minimum spatial distance. For example, the data is divided into intervals of 0.2 meters, such as [0m, 0.2m), [0.2m, 0.4m), ..., [2.0m, ∞).

[0102] The number of electric shock risk assessments within each distance range was statistically analyzed, along with the average current value and average voltage fluctuation amplitude at the time of triggering.

[0103] For each distance interval, the theoretically applicable correction factor is derived from the average electrical parameters at the time of triggering within that interval. The calculation method is similar to the reverse derivation of the humidity correction factor.

[0104] The ideal correction coefficients calculated for each distance interval are curve-fitted to generate a new distance-correction coefficient mapping relationship. Exponential decay fitting or piecewise linear fitting is preferred to ensure that the mapping relationship maintains the physical law of a positive correlation with the minimum spatial distance, and that the correction coefficient approaches a small positive value (e.g., 0.2-0.3) as the distance approaches zero, thus preventing the threshold from dropping to zero and causing system failure.

[0105] Specifically, the optimization update does not update the mapping relationship immediately after each risk is triggered, but rather processes historical data in batches according to an adaptive time period and updates the mapping relationship uniformly.

[0106] Preferably, the optimization module calculates the adaptive time period according to the following steps: Set a basic optimization period T0, which is a preset initial optimization time interval, such as 7 days (i.e., 604,800 seconds). This value can be determined based on engineering experience or the default configuration of the monitoring platform.

[0107] Calculate the risk frequency factor Fᵣ, which reflects the degree to which the frequency of recent electric shock risk events deviates from the historical average. The specific calculation method is as follows: The number of electric shock risk assessments that occurred within the first time window before the current moment (e.g., the past 30 days) is recorded and denoted as Ncurrent; The number of electric shock risk assessments that occurred in earlier historical periods (e.g., the past 90 days to 30 days) is recorded as Nhistory; Calculate the risk frequency factor Fᵣ = Ncurrent / Nhistory. If Nhistory is zero, then let Fᵣ = 1. The larger the value of Fᵣ, the more frequent the recent risk events, and the shorter the optimization cycle should be accordingly.

[0108] Calculate the environmental change factor F e The environmental change factor is used to reflect the degree of fluctuation in recent environmental humidity values. The specific calculation method is as follows: Collect all environmental humidity samples within a second time window (e.g., the past 7 days) prior to the current moment, forming a sequence H = {h1, h2, …, h n}; Calculate the standard deviation σh of the sequence to characterize the degree of humidity fluctuation; Calculate the environmental change factor F e = σh / σ0, where σ0 is the preset humidity standard deviation baseline value (e.g., 5%RH). σ0 can be set based on historical statistics or industry experience. F eThe larger the value, the more drastic the environmental changes, the more frequently the model needs to be updated to adapt to the changes, and the shorter the optimization cycle should be accordingly. Calculate the adaptive optimization period T: Divide the basic optimization period T0 by the weighted sum of the risk frequency factor and the environmental change factor to obtain the adaptive optimization period.

[0109] Wherein, α and β are preset weighting coefficients, and α + β = 1. Preferably, α is 0.6 and β is 0.4, that is, to assign a higher weight to the risk frequency.

[0110] To prevent the model from becoming outdated due to excessively long optimization cycles, or to prevent computational resources from being exhausted due to excessively short optimization cycles, the calculated T is subject to amplitude limiting:

[0111] in, The preset shortest optimization period (e.g., 1 day). The preset maximum optimization period (e.g., 30 days).

[0112] By introducing an adaptive time-cycle calculation model, the optimization module of this invention can intelligently adjust the frequency of model updates according to the actual risk dynamics and environmental dynamics at the construction site. This ensures the rapid response capability of the mapping relationship to changes in working conditions and avoids the waste of resources caused by fixed-cycle updates during stable periods, further improving the intelligence level and operating efficiency of the monitoring platform.

[0113] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A power engineering electric shock prevention safety monitoring platform, characterized in that, include: The data acquisition module is used to collect real-time electrical parameters, environmental parameters, and operational status parameters at key locations in the power engineering construction area. The generation module is used to dynamically generate electrical safety dynamic thresholds that match the current working conditions based on the environmental parameters and the operating status parameters. The comparison module is used to compare the real-time electrical parameters with the electrical safety dynamic threshold. The early warning module is used to determine the risk of electric shock when the real-time electrical parameters exceed the electrical safety dynamic threshold, and to perform corresponding early warning operations.

2. The electric shock safety monitoring platform for electric power engineering according to claim 1, characterized in that, The key locations include: The connection point and branch point of the power line, wherein the connection point includes the T-junction between the line and the busbar or equipment, and the branch point includes the branch tower of the line and the inlet and outlet terminals of the cable junction box; Key equipment in the power engineering construction area, including the circuit breaker contacts and disconnector contacts of transformers; Conductive structures that construction workers may come into contact with, including equipment housings and temporary grounding wires.

3. The electric shock safety monitoring platform for electric power engineering according to claim 1, characterized in that, The real-time electrical parameters include real-time current values ​​and voltage fluctuation amplitude values; The environmental parameters include the ambient humidity value; The operational status parameters include the minimum spatial distance between the operator and the live parts.

4. The power engineering electric shock prevention safety monitoring platform according to claim 3, characterized in that, The step of dynamically generating electrical safety dynamic thresholds that match the current operating conditions based on the environmental parameters and the operating status parameters includes: Obtain the preset basic electrical safety threshold; A humidity correction factor is determined based on the ambient humidity value, and the humidity correction factor is negatively correlated with the ambient humidity value. A distance correction coefficient is determined based on the minimum spatial distance, and the distance correction coefficient is positively correlated with the minimum spatial distance; The basic electrical safety threshold is multiplied by the humidity correction factor and the distance correction factor to generate the dynamic electrical safety threshold.

5. A power engineering electric shock prevention safety monitoring platform according to claim 4, characterized in that, The process of obtaining the preset basic electrical safety threshold includes: Obtain preset base current threshold and base voltage threshold, wherein the base current threshold corresponds to the real-time current value and the base voltage threshold corresponds to the voltage fluctuation amplitude value; The generation of the electrical safety dynamic threshold includes the generation of a current dynamic threshold and a voltage dynamic threshold.

6. A power engineering electric shock prevention safety monitoring platform according to claim 4, characterized in that, The step of determining the humidity correction factor based on the ambient humidity value includes: Obtain a preset humidity-correction coefficient mapping relationship, wherein the ambient humidity value and the humidity correction coefficient are negatively correlated in the mapping relationship; Based on the currently collected ambient humidity value and the humidity-correction coefficient relationship, the corresponding humidity correction coefficient is determined.

7. A power engineering electric shock prevention safety monitoring platform according to claim 4, characterized in that, The step of determining the distance correction coefficient based on the minimum spatial distance includes: Obtain a preset distance-correction coefficient mapping relationship, wherein the minimum spatial distance is positively correlated with the distance correction coefficient; The minimum spatial distance currently collected is input into the distance-correction coefficient mapping relationship to determine the corresponding distance correction coefficient.

8. A power engineering electric shock prevention safety monitoring platform according to claim 5, characterized in that, The step of comparing the real-time electrical parameters with the electrical safety dynamic threshold includes: The real-time current value is compared with the current dynamic threshold, and the voltage fluctuation amplitude value is compared with the voltage dynamic threshold; If the real-time current value exceeds the current dynamic threshold and the voltage fluctuation amplitude value exceeds the voltage dynamic threshold, then it is determined that there is a risk of electric shock.

9. A power engineering electric shock prevention safety monitoring platform according to claim 1, characterized in that, The corresponding early warning operations include issuing audible and visual alarm signals or cutting off the power supply to the corresponding area.

10. A power engineering electric shock prevention safety monitoring platform according to claim 1, characterized in that, It also includes an optimization module, which is used for: Record the ambient humidity value, the minimum spatial distance, and the real-time electrical parameters at the time of triggering each time a risk of electric shock is determined to exist; The distance-correction factor mapping relationship and the humidity-correction factor mapping relationship are optimized and updated based on historical data.

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