Power transmission line deep foundation pit environment safety situation awareness method and device based on space coupling, storage medium and terminal

Abstract

The invention provides a power transmission line deep foundation pit environment safety situation sensing method and device based on space coupling, a storage medium and a terminal. The method comprises the steps that vital sign parameters of an operator are acquired, and the environment gas concentration, the environment temperature and the environment humidity of all mixed gas and environment monitoring nodes are acquired; the distance between the operator and each mixed gas and environment monitoring node is obtained, and the gas concentration corresponding to the position of the operator is obtained based on all the environment gas concentrations and the corresponding distance to serve as the operation gas concentration; inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction so as to obtain vital sign parameters influenced by gas; and comparing the vital sign parameters influenced by the gas with a normal range of the vital sign parameters to output a risk early warning signal. According to the invention, the safety of operators in the power transmission line deep foundation pit environment can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power transmission line operation safety and environmental monitoring, and relates to a method for sensing the environmental safety situation of a deep foundation pit of a power transmission line based on space coupling, and in particular to a method and device, storage medium and terminal for sensing the environmental safety situation of a deep foundation pit of a power transmission line based on space coupling. Background Art

[0002] In the maintenance and construction of power transmission lines, deep foundation pit underground operations are an inevitable key task. Such operations usually involve confined spaces such as deep foundation pits of power transmission lines, transmission line corridors, and cable wells. Due to the underground characteristics of these environments, their airtightness and poor ventilation pose a threat to the safety of operators. For example, insufficient oxygen and accumulation of toxic and harmful gases are common safety hazards. This complex underground working environment places higher demands on monitoring and safety management.

[0003] However, existing technologies mainly rely on single gas detection equipment or local environmental parameter monitoring methods, which cannot provide comprehensive environmental information and are difficult to effectively assess the comprehensive risks of operators. This limitation makes it impossible to detect environmental changes that endanger life safety in a timely manner, which seriously restricts the improvement of safety protection capabilities. Summary of the invention

[0004] The purpose of the present invention is to provide a method and device, a storage medium and a terminal for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling, so as to solve the technical problems of insufficient environmental safety monitoring and low safety protection capability in the prior art.

[0005] In a first aspect, the present invention provides a method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling, comprising:

[0006] Obtain the vital signs parameters of the operators, and obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes;

[0007] Obtaining the distance between the operator and each of the mixed gas and environment monitoring nodes, and obtaining the gas concentration corresponding to the position of the operator as the operating gas concentration based on all the environmental gas concentrations and the corresponding distances;

[0008] Inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction to obtain the vital sign parameters after being affected by the gas;

[0009] Comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal;

[0010] Among them, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate.

[0011] In one embodiment of the present invention, obtaining the gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances as the operating gas concentration includes:

[0012]

[0013] Among them, C i (t) represents the ambient gas concentration of the i-th mixed gas and environmental monitoring node, d i represents the distance between the i-th mixed gas and environmental monitoring node and the operator, K represents the preset interpolation parameter, C p (t) represents the working gas concentration.

[0014] In one embodiment of the present invention, the vital sign prediction model includes:

[0015]

[0016] RR pred (t+Δt)=α RR ln(1+β RR ·C P (t))+γ RR RR(t)

[0017] Among them, HR pred (t+Δt) represents the predicted heart rate, SpO pred (t+Δt) represents the predicted value of blood oxygen saturation, RR pred (t+Δt) represents the predicted value of respiratory rate, C0 represents the safe gas concentration threshold, HR(t) represents heart rate, SpO(t) represents blood oxygen saturation, RR(t) represents respiratory rate, C p (t) represents the concentration of the operating gas, and α, β, and γ represent the fitting coefficients in the vital sign prediction model.

[0018] In one embodiment of the present invention,

[0019] Acquiring the gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances includes:

[0020] Acquire an initial gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances;

[0021] Correcting the initial gas concentration and using the corrected gas concentration as the gas concentration corresponding to the position of the operator;

[0022] Correcting the initial gas concentration includes:

[0023]

[0024]

[0025] in, Indicates the corrected gas concentration, C p (t) represents the initial gas concentration, T p (t) represents temperature, H p (t) represents humidity, α1, β1, α2, β2 represent correction coefficients, T0 represents temperature safety threshold, and H0 represents humidity safety threshold.

[0026] In one embodiment of the present invention,

[0027] Comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal includes:

[0028] Calculate different types of vital sign parameters affected by gases and normal ranges of vital sign parameters to obtain corresponding deviations from normal ranges;

[0029] Obtain the weighted sum of all changes that deviate from the normal range as the risk value;

[0030] The risk value is compared with a preset risk threshold, and if the risk value exceeds the preset risk threshold, a risk warning signal is output.

[0031] In one embodiment of the present invention,

[0032] The advance amount of output risk warning signal is:

[0033]

[0034] Among them, R(t) represents the risk value, R threshold Indicates the preset risk threshold, Indicates the rate of change of risk value over time, △t pre Indicates the advance amount.

[0035] In one embodiment of the present invention,

[0036] If the risk value is between the first risk threshold and the second risk threshold, a risk warning signal of a low risk warning is output;

[0037] If the risk value is between the second risk threshold and the third risk threshold, a risk warning signal of a medium risk warning is output;

[0038] If the risk value is between the third risk threshold and the fourth risk threshold, a risk warning signal of a high risk warning is output;

[0039] Among them, the types of the preset risk thresholds include the first risk threshold, the second risk threshold, the third risk threshold and the fourth risk threshold which increase in sequence, and the types of the risk warning signals include the low risk warning, the medium risk warning and the high risk warning.

[0040] In a second aspect, the present invention further provides a transmission line deep foundation pit environment safety situation awareness device based on spatial coupling, characterized in that it includes:

[0041] The data acquisition module is used to obtain the vital signs parameters of the operators, and the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes;

[0042] a concentration calculation module, used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the position of the operator as the operating gas concentration based on all the environmental gas concentrations and the corresponding distances;

[0043] A vital sign prediction module, used for inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction, so as to obtain the vital sign parameters after being affected by the gas;

[0044] A risk warning module, used for comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal;

[0045] Among them, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate.

[0046] In a third aspect, the present invention further provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for safety situation awareness of a deep foundation pit environment of a power transmission line based on spatial coupling as described above.

[0047] In a fourth aspect, the present invention further provides a terminal, comprising a processor and a memory, wherein the memory is communicatively connected to the processor;

[0048] The memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes the method for safety situation awareness of deep foundation pit environment of power transmission lines based on spatial coupling as described above.

[0049] As described above, the method and device, storage medium and terminal for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling according to the present invention have the following beneficial effects:

[0050] The present invention couples environmental gas concentration, node distance calculation and vital signs, obtains the operating gas concentration based on the data of mixed gas and environmental monitoring nodes, and predicts the vital sign parameters of the operators after being affected by the gas based on the operating gas concentration. It can dynamically evaluate the safety status of the operators and issue risk warning signals, thereby ensuring the safety of operations in underground confined spaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A schematic flow chart of a method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling according to an embodiment of the present invention is shown.

[0052] Figure 2 A schematic diagram of data acquisition in the method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling according to an embodiment of the present invention is shown.

[0053] Figure 3 A schematic diagram of obtaining the concentration of operating gas in the method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling according to an embodiment of the present invention is shown.

[0054] Figure 4 A schematic diagram of a process of outputting a risk warning signal based on vital sign parameters after being affected by gas in a method for sensing the environmental safety situation of a deep foundation pit of a power transmission line based on spatial coupling according to an embodiment of the present invention is shown.

[0055] Figure 5 A schematic structural diagram of a power transmission line deep foundation pit environment safety situation awareness device based on spatial coupling according to an embodiment of the present invention is shown.

[0056] Figure 6 A schematic diagram of the structure of a terminal according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0057] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0058] The following will elaborate in detail the principles and implementation methods of the method and device for sensing the environmental safety situation of deep foundation pits of power transmission lines based on spatial coupling, the storage medium and the terminal of this embodiment, so that those skilled in the art can understand the method, device, storage medium and terminal for sensing the environmental safety situation of deep foundation pits of power transmission lines based on spatial coupling of this embodiment without creative labor.

[0059] In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling.

[0060] Figure 1 FIG. 1 is a flow chart showing a method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling according to an embodiment of the present invention, with reference to FIG. Figure 1 As shown, the method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling in an embodiment of the present invention mainly includes steps S100 to S400.

[0061] Step S100: Obtain the vital sign parameters of the operator, and obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes.

[0062] In this embodiment, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate, that is, the initial vital sign data (data before being affected by gas) from the operator's body obtained using a vital sign monitoring sensor. Specifically, the vital sign parameters of the operator are collected in real time, and a plurality of mixed gas and environmental monitoring nodes are set in the deep foundation pit of the transmission line. The ambient gas concentration, ambient temperature and ambient humidity of all mixed gas and environmental monitoring nodes are obtained to provide multi-dimensional data, which lays the foundation for assessing the risk of the personnel. Changes in ambient gas concentration will affect changes in vital signs. For example, insufficient oxygen (O2) will cause a decrease in blood oxygen concentration (SpO2), which will in turn cause an increase in heart rate (HR) and respiratory rate (RR); carbon monoxide (CO) will cause hypoxemia (SpO2 decrease) by binding to hemoglobin, and cause dyspnea and increased heart rate; toxic gases such as hydrogen sulfide (H2S) will irritate the respiratory tract, leading to an accelerated respiratory rate, heart rate fluctuations, and even central nervous system damage. In addition, the higher the ambient temperature, the faster the gas molecules move and the faster the gas diffusion rate. Therefore, the gas concentration gradient will decrease due to high temperature and the gas diffusion range will increase. When the ambient humidity is high, hydrogen sulfide and ammonia will reduce their diffusion rate in the air due to their increased solubility. The ambient humidity will also affect the respiratory system of workers, making them more vulnerable to harmful gases.

[0063] In a specific implementation, the present invention obtains the vital sign parameters of the operator and the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes in the following manner. Figure 2 A schematic diagram showing data acquisition in a method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling according to an embodiment of the present invention is shown, with reference to Figure 2 As shown, the concentration of the corresponding gas is collected through the gas sensor, and then transmitted to the central processor based on the RS485 bus, the ambient temperature is obtained through the temperature sensor, and the ambient humidity is obtained through the humidity sensor. The central processor is also connected to the wireless communication module for sending the acquired data, and the corresponding vital sign parameters are obtained based on three different vital sign monitoring sensors. The above-mentioned gas sensor, temperature sensor and humidity sensor are set in the mixed gas and environmental monitoring node, and the vital sign monitoring sensor is set on the operator, for example, placed on the operator in the form of a wearable device. Optionally, the present invention also obtains the ambient wind speed based on the wind speed sensor.

[0064] Step S200: obtaining the distance between the operator and each mixed gas and environmental monitoring node, and obtaining the gas concentration corresponding to the operator's position as the operating gas concentration based on all environmental gas concentrations and corresponding distances.

[0065] In a specific implementation, the present invention obtains the concentration of the operating gas based on all mixed gases and environmental monitoring nodes. Figure 3 FIG. 1 shows a schematic diagram of obtaining the concentration of operating gas in the method for sensing the environmental safety situation of a deep foundation pit of a power transmission line based on spatial coupling according to an embodiment of the present invention, with reference to FIG. Figure 3 As shown, corresponding mixed gas and environmental monitoring nodes are set at different positions of the deep foundation pit of the transmission line to obtain the corresponding environmental gas concentration and the distance from the workers. Different workers are located at different worker vital signs monitoring nodes. The gas concentration corresponding to the worker's position is calculated based on all the mixed gas and environmental monitoring nodes and spatial distances, which serves as the data basis for calculating the risk value.

[0066] Specifically, step S100 obtains the ambient gas concentration of the mixed gas and environmental monitoring node, and step S200 provides a spatial basis for calculating the gas concentration at the operator's location by determining the distance between the operator and each mixed gas and environmental monitoring node. Combining the gas concentration data of the mixed gas and environmental monitoring nodes and the distance between the operator and these mixed gas and environmental monitoring nodes, a weighted algorithm or interpolation method is used to calculate the corresponding gas concentration at the operator's location as the operating gas concentration. In the confined space of the underground operation of the deep foundation pit of the transmission line, it is assumed that the mixed gas and environmental monitoring node N i The coordinates are (x i ,yi ,z i ), the operator's position P p The coordinates are (x p ,y p ,z p ). The spatial distance between the mixed gas and environmental monitoring nodes and the operators is calculated using the following formula:

[0067]

[0068] Among them, d i Indicates the mixed gas and environment monitoring node N i The distance to the operator's location.

[0069] Optionally, an interpolation method is used to obtain the gas concentration corresponding to the operator's position. The ambient gas concentration in the confined space is in an inverse distance-weighted relationship with the distance, and the gas concentration corresponding to the operator's position is obtained based on all ambient gas concentrations and corresponding distances as the operating gas concentration, including:

[0070]

[0071] Among them, C i (t) represents the ambient gas concentration of the i-th mixed gas and environmental monitoring node, d i represents the distance between the i-th mixed gas and environmental monitoring node and the operator, K represents the preset interpolation parameter, C p (t) represents the working gas concentration. This method takes the distance factor into consideration and combines the data of multiple mixed gases and environmental monitoring nodes to accurately obtain the environmental gas concentration corresponding to the location of the operator. At the same time, since it is calculated based on different mixed gases and environmental monitoring nodes and distribution conditions, it meets the needs of dynamic environmental monitoring and has strong adaptability and real-time performance.

[0072] Optionally, the gas concentration corresponding to the position of the operator is also affected by the ambient temperature and ambient humidity. An embodiment of the present invention provides an acquisition method that includes correcting the gas concentration. Specifically, obtaining the gas concentration corresponding to the position of the operator based on all ambient gas concentrations and the corresponding distances includes: obtaining the initial gas concentration corresponding to the position of the operator based on all ambient gas concentrations and the corresponding distances; correcting the initial gas concentration, and using the corrected gas concentration as the gas concentration corresponding to the position of the operator. That is, first obtain the gas concentration corresponding to the position of the operator by distance based on the above formula (as the initial gas concentration), and then correct the initial gas concentration using the ambient temperature and ambient humidity, and use the corrected gas concentration as the gas concentration corresponding to the position of the operator (that is, the final operating gas concentration). Wherein, correcting the initial gas concentration includes:

[0073]

[0074] in, Indicates the corrected gas concentration, C p (t) represents the initial gas concentration, T p (t) represents temperature, H p (t) represents humidity, α1, β1, α2, β2 represent correction coefficients, T0 represents temperature safety threshold, and H0 represents humidity safety threshold. The above embodiment adds correction to gas concentration, so the obtained operating gas concentration is more accurate, which can significantly improve the reliability of subsequent risk assessment.

[0075] Step S300: inputting the vital sign parameters of the operator and the working gas concentration into the vital sign prediction model for prediction to obtain the vital sign parameters after being affected by the gas.

[0076] The vital sign parameters after being affected by the gas, that is, the vital sign data of the operator after the body is affected by the gas (data after being affected by the gas) predicted by the vital sign prediction model. In an embodiment of the present invention, the vital sign prediction model models the effect of the working gas concentration on the vital signs by inputting data (the vital sign parameters of the operator and the working gas concentration). The model generates corresponding predicted values ​​according to the different effects of the gas concentration on the heart rate, blood oxygen saturation and respiratory rate, as the vital sign parameters after being affected by the gas, and quantifies the dynamic effect of the working gas concentration on the vital sign parameters of the operator. Based on the above input and output, those skilled in the art can select a suitable model according to actual needs to construct a vital sign prediction model.

[0077] Optionally, the embodiment of the present invention constructs a vital sign prediction model based on a nonlinear regression model. Specifically, the vital sign prediction model includes:

[0078]

[0079] RR pred (t+Δt)=α RR ln(1+β RR ·C P (t))+γ RR RR(t)

[0080] Among them, HR pred (t+Δt) represents the predicted heart rate, SpO pred (t+Δt) represents the predicted value of blood oxygen saturation, RR pred (t+Δt) represents the predicted value of respiratory rate, C0 represents the safe gas concentration threshold, HR(t) represents heart rate, SpO(t) represents blood oxygen saturation, RR(t) represents respiratory rate, Cp (t) represents the concentration of the operating gas, and α, β, and γ represent the fitting coefficients in the vital signs prediction model. More specifically, α HR represents the first fitting coefficient used to obtain the heart rate prediction value, α SpO represents the second fitting coefficient used to obtain the predicted value of blood oxygen saturation, α RR represents the third fitting coefficient used to obtain the predicted value of respiratory rate, β HR represents the fourth fitting coefficient used to obtain the predicted heart rate value, β SpO represents the fifth fitting coefficient used to obtain the predicted value of blood oxygen saturation, β RR represents the sixth fitting coefficient used to obtain the predicted value of respiratory rate, γ HR represents the heart rate autocorrelation coefficient, γ SpO represents the autocorrelation coefficient of blood oxygen saturation, γ RR represents the autocorrelation coefficient of respiratory rate.

[0081] It should be noted that different vital sign parameters, such as heart rate, blood oxygen saturation and respiratory rate, are controlled by different physiological mechanisms, so they react differently to gas concentration and environmental variables. In the above-mentioned vital sign prediction model based on the nonlinear regression model of the present invention, different vital sign parameters are predicted based on different nonlinear regression models to ensure the accuracy of the prediction. First, as a vital sign, heart rate usually does not change significantly in the initial stage when the gas concentration increases slowly, but when the gas concentration reaches a certain critical point (i.e., the safety threshold C0), the heart rate will rise rapidly. Therefore, the embodiment of the present invention uses the Sigmoid function to describe this nonlinear reaction. The change in heart rate will have a rapid increase process when the gas concentration approaches the threshold, and the change is smaller at lower concentrations, showing the characteristics of "steady-sudden increase-saturation". The Sigmoid function can capture this gradual reaction process well. In addition, γ HR HR(t) characterizes the autocorrelation of heart rate. Even if the ambient gas concentration changes, the heart rate is affected by its previous state and has hysteresis and inertia. Therefore, the embodiment of the present invention can accurately predict the heart rate prediction value based on the influence of gas concentration and historical heart rate using the Sigmoid function. Second, blood oxygen saturation is closely related to gas concentration (especially oxygen and carbon dioxide concentration). When the concentration of harmful gases rises, blood oxygen saturation will drop rapidly, and this drop is usually exponential. The embodiment of the present invention uses an exponential decay function to represent the negative impact of increased gas concentration on blood oxygen saturation. Especially in high concentration conditions, the rate of decline of SpO2 will accelerate. In addition, blood oxygen saturation is also affected by the previous state, so γ is added. SpO·SpO(t) term. This prediction method well simulates the fact that blood oxygen saturation will not return to normal immediately in a short period of time, but has certain delay and inertia characteristics. Third, the response of respiratory frequency to gas concentration is often relatively linear, but when the gas concentration is low, the change is not obvious. As the concentration increases, the respiratory frequency gradually accelerates, but this acceleration process tends to saturation. Therefore, the embodiment of the present invention uses a logarithmic function to predict the respiratory frequency, which can better reflect the progressive response of the respiratory frequency to the gas concentration, that is, as the concentration increases, the rate of increase of the respiratory frequency becomes slower and slower. In addition, the respiratory frequency is similar to other vital signs, and has a time delay effect, and will not fluctuate significantly in a short period of time. Therefore, the second term γ in the formula RR RR(t) is used to represent the inertial effect of respiratory rate. It should be noted that α, β, and γ in the formula are fitting coefficients, that is, they are obtained by training the above model with historical data. The main improvement of the present invention lies in the design of the vital sign prediction model based on the nonlinear regression model, rather than the training method. The fitting of nonlinear models is a prior art in the art, and the present invention will not be elaborated here.

[0082] In summary, the present invention is based on a nonlinear regression model, and uses the working gas concentration and the current vital signs parameters (heart rate, blood oxygen saturation, respiratory rate) of the operating personnel for prediction. Not only is a corresponding nonlinear regression model established according to the characteristics of different vital signs parameters to simulate the nonlinear response of the parameters to the working gas concentration, but the autocorrelation coefficient of the vital signs parameters is also considered. The changes in the vital signs parameters are not immediate, but have a certain time lag and inertia. This lag effect is reflected in the present invention through historical data and autocorrelation coefficients to ensure that the prediction can be combined with the current state and historical data, so that the model is more in line with the actual situation. Therefore, the embodiment of the present invention can improve the reliability of the predicted value, which is conducive to timely discovery of changes in the vital signs of the operating personnel, and is suitable for safety risk assessment in complex environments.

[0083] Optionally, the embodiment of the present invention further includes correcting the vital sign parameters after being affected by the gas predicted by the vital sign prediction model. Specifically, the vital sign parameters of the operator and the working gas concentration are input into the vital sign prediction model for prediction to obtain the vital sign parameters after being affected by the gas, including:

[0084] The vital sign parameters of the operator and the working gas concentration are input into the vital sign prediction model for prediction, so as to output the corresponding initial vital sign parameters affected by the gas; the initial vital sign parameters affected by the gas are corrected, and the corrected vital sign parameters affected by the gas are used as the vital sign parameters after being affected by the gas. Specifically, the correction of the initial vital sign parameters affected by the gas includes:

[0085] The difference between the initial gas-affected vital sign parameters and the corresponding operator's vital sign parameters is obtained as the vital sign difference; if the vital sign difference exceeds the preset vital sign difference threshold, the initial gas-affected vital sign parameters are updated as follows:

[0086] V corr (t+Δt)=(1-λ)·V pred (t)+λ·V(t)

[0087] Among them, V corr (t+Δt) represents the corrected vital sign parameters affected by gas, V pred (t) represents the initial vital sign parameters affected by the gas, V(t) represents the vital sign parameters of the operator (that is, the vital sign data obtained in real time), and λ represents the correction coefficient. V(t)=[HR(t),SpO2(t),RR(t)] T , specifically the transpose of the matrix composed of heart rate, blood oxygen saturation and respiratory rate. Those skilled in the art can adjust the value of λ according to actual needs. The above correction adjusts the smoothing factor and combines the real-time data of the operator to correct the predicted values ​​of the three vital sign parameters to output more accurate vital sign parameters affected by gas.

[0088] Step S400: Compare the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal.

[0089] Specifically, step S400 determines whether the operator is in a dangerous state by comparing the vital sign parameters after being affected by the gas with the normal range of these parameters, and generates a risk warning signal. Through this step, the output of the vital sign prediction model can be effectively combined with the comparison result of the normal range to generate a timely risk warning signal, thereby ensuring the life safety of the operator. Those skilled in the art can dynamically adjust the normal range and risk level threshold according to different personnel and different working environments.

[0090] Optionally, the present invention further quantifies and refines the risk assessment of vital sign parameters by introducing the calculation of the variation from the normal range and weighted summation. Specifically, Figure 4 FIG. 1 is a flow chart showing a method for sensing the environmental safety situation of a deep foundation pit of a power transmission line based on spatial coupling according to an embodiment of the present invention, wherein a risk warning signal is output based on vital sign parameters after being affected by gas. Figure 4 As shown, comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal includes the following steps:

[0091] Step S401: Calculate different types of vital sign parameters affected by gases and normal ranges of vital sign parameters to obtain corresponding variations from the normal range.

[0092] Specifically, refer to the following formula:

[0093]

[0094] Where ΔX represents the deviation of any type of vital sign parameter from the normal range after being affected by gas, [X min , X max ] indicates the normal range of vital sign parameters corresponding to this type of gas influence.

[0095] Step S402: Obtain a weighted sum of all changes that deviate from the normal range as a risk value.

[0096] Specifically, refer to the following formula:

[0097] R(t)=ω1·ΔHR(t)+ω2·ΔSpO(t)+ω3·ΔRR(t)

[0098] Among them, ΔHR(t) represents the change of heart rate relative to the normal range after being affected by gas, ΔSpO(t) represents the change of blood oxygen saturation relative to the normal range after being affected by gas, and ΔRR(t) represents the change of respiratory rate relative to the normal range after being affected by gas. ω1, ω2, and ω3 are the weights corresponding to different vital sign parameters after being affected by gas, which are used to indicate the importance of these vital signs in risk assessment.

[0099] Step S403: Compare the risk value with a preset risk threshold, and if the risk value exceeds the preset risk threshold, output a risk warning signal.

[0100] Specifically, if the risk value exceeds the risk threshold, a risk warning signal is output, otherwise there is no need to output a risk warning signal. The above steps achieve a refined association between vital sign parameters and risk warning signals through quantitative calculation and comparison of risk values. The weighted sum of multiple parameters avoids the risk of false positives or negative positives caused by a single parameter abnormality.

[0101] Optionally, the advance amount for outputting the risk warning signal is:

[0102]

[0103] Among them, R(t) represents the risk value, R threshold Indicates the preset risk threshold, Indicates the rate of change of risk value over time, △t preIndicates the lead time. When the risk value is close to the preset risk threshold, the rate of change of the risk value over time is used to obtain how long it will take to reach the risk threshold in the future, and then output the lead time. If the rate of change is large, the lead time will be shorter; conversely, when the rate of change is small, the lead time is longer, and there is more time to issue an early warning. This formula can be used to dynamically monitor the risk value in the environment, calculate the lead time, and take timely response measures according to the change of the risk value over time.

[0104] Optionally, the embodiment of the present invention is provided with a multi-level warning mechanism. Specifically, if the risk value is between the first risk threshold and the second risk threshold, a risk warning signal of a low risk warning is output; if the risk value is between the second risk threshold and the third risk threshold, a risk warning signal of a medium risk warning is output; if the risk value is between the third risk threshold and the fourth risk threshold, a risk warning signal of a high risk warning is output; wherein, the types of preset risk thresholds include the first risk threshold, the second risk threshold, the third risk threshold and the fourth risk threshold, which increase in sequence, and the types of risk warning signals include low risk warning, medium risk warning and high risk warning. Specifically, the low risk warning is: the working environment and the vital signs of personnel are within a safe range and no special treatment is required. The medium risk warning is: the gas concentration or vital signs begin to approach the dangerous value, prompting personnel to pay attention and start the alarm. The high risk warning is: the total risk reaches a high risk level, and measures are taken immediately, such as evacuating personnel or starting ventilation equipment. A low-risk warning means that vital signs change slightly and environmental factors have little impact on personnel safety. The system reminds operators to pay attention through mild prompts; a medium-risk warning means that vital signs change significantly and gas concentration reaches a certain threshold. The system issues an intermediate warning signal and recommends that personnel adjust their working environment or operating methods appropriately; a high-risk warning means that vital signs change dramatically and gas concentration exceeds the safe range. The system immediately issues an alarm and instructs operators to evacuate quickly.

[0105] The protection scope of the method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling in an embodiment of the present invention is not limited to the execution order of the steps listed in this embodiment. All solutions implemented by adding, reducing or replacing steps in the prior art based on the principles of the present invention are included in the protection scope of the present invention.

[0106] The method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling in the embodiment of the present invention couples environmental gas concentration, node distance calculation and vital signs, obtains the operating gas concentration based on the data of mixed gas and environmental monitoring nodes, and predicts the vital sign parameters of the operating personnel after being affected by the gas based on the operating gas concentration. It can dynamically evaluate the safety status of the operating personnel and issue risk warning signals, thereby ensuring the safety of underground confined space operations. At the same time, a nonlinear regression model is introduced to construct a vital sign prediction model to predict the complex impact of gas concentration on vital signs, so that the safety status in the confined space can be more accurately reflected.

[0107] In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention further provides a safety situation awareness device for a deep foundation pit environment of a power transmission line based on spatial coupling.

[0108] Figure 5 FIG. 1 shows a schematic diagram of a transmission line deep foundation pit environment safety situation awareness device based on spatial coupling according to an embodiment of the present invention, with reference to FIG. Figure 5 As shown, the power transmission line deep foundation pit environment safety situation awareness device based on space coupling in the embodiment of the present invention includes:

[0109] The data acquisition module is used to obtain the vital signs parameters of the operators, and the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes;

[0110] a concentration calculation module, used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the position of the operator as the operating gas concentration based on all the environmental gas concentrations and the corresponding distances;

[0111] A vital sign prediction module, used for inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction, so as to obtain the vital sign parameters after being affected by the gas;

[0112] A risk warning module, used for comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal;

[0113] Among them, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate.

[0114] The environmental safety situation awareness device for deep foundation pits of power transmission lines based on spatial coupling in an embodiment of the present invention couples environmental gas concentration, node distance calculation and vital signs, obtains operating gas concentration based on data from mixed gases and environmental monitoring nodes, and predicts vital sign parameters of operators after being affected by the gas based on the operating gas concentration. It can dynamically evaluate the safety status of operators and issue risk warning signals, thereby ensuring the safety of operations in underground confined spaces.

[0115] In order to solve the above-mentioned technical problems existing in the prior art, an embodiment of the present invention further provides a storage medium on which a computer program is stored, characterized in that when the program is executed by a processor, all steps of the embodiment of the method for safety situation awareness of deep foundation pit environment of power transmission lines based on spatial coupling are implemented.

[0116] The specific steps of the method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling and the beneficial effects obtained by applying the readable storage medium provided by the embodiment of the present invention are the same as those in the above embodiment and will not be described in detail here.

[0117] A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing a processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above-mentioned storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state disk (SSD)), etc.

[0118] In order to solve the above technical problems existing in the prior art, an embodiment of the present invention further provides a terminal. Figure 6 A schematic diagram of the structure of the terminal according to an embodiment of the present invention is shown, referring to Figure 6 As shown, the terminal of the embodiment of the present invention includes a processor and a memory, and the memory and the processor are communicatively connected; the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes all steps of the method for safety situation awareness of deep foundation pit environment of power transmission lines based on spatial coupling in the above-mentioned embodiment.

[0119] The specific steps of the method for sensing the safety situation of a deep foundation pit environment of a power transmission line based on spatial coupling and the beneficial effects obtained by applying the terminal provided by the embodiment of the present invention are the same as those in the above embodiment and will not be described in detail here.

[0120] It should be noted that the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. Similarly, the processor may also be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0121] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling, comprising: Obtain the vital signs parameters of the operators, and obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes; Obtaining the distance between the operator and each of the mixed gas and environment monitoring nodes, and obtaining the gas concentration corresponding to the position of the operator as the operating gas concentration based on all the environmental gas concentrations and the corresponding distances; Inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction to obtain the vital sign parameters after being affected by the gas; Comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal; Among them, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate.

2. The method according to claim 1, characterized in that: Acquiring the gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances as the operating gas concentration includes: Among them, C i (t) represents the ambient gas concentration of the i-th mixed gas and environmental monitoring node, d i represents the distance between the i-th mixed gas and environmental monitoring node and the operator, K represents the preset interpolation parameter, C p (t) represents the working gas concentration.

3. The method according to claim 1, characterized in that The vital signs prediction model includes: RR pred (t+Δt)=a RR ·ln(1+β RR ·C P (t))+γ RR ·RR(t) Among them, HR pred (t+Δt) represents the predicted heart rate, SpO pred (t+Δt) represents the predicted value of blood oxygen saturation, RR pred (t+Δt) represents the predicted value of respiratory rate, C0 represents the safe gas concentration threshold, HR(t) represents heart rate, SpO(t) represents blood oxygen saturation, RR(t) represents respiratory rate, C p (t) represents the concentration of the operating gas, and α, β, and γ represent the fitting coefficients in the vital sign prediction model.

4. The method according to claim 1, characterized in that: Acquiring the gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances includes: Acquire an initial gas concentration corresponding to the position of the operator based on all the ambient gas concentrations and the corresponding distances; Correcting the initial gas concentration and using the corrected gas concentration as the gas concentration corresponding to the position of the operator; Correcting the initial gas concentration includes: in, Indicates the corrected gas concentration, C p (t) represents the initial gas concentration, T p (t) represents temperature, H p (t) represents humidity, α1, β1, α2, β2 represent correction coefficients, T0 represents temperature safety threshold, and H0 represents humidity safety threshold.

5. The method according to claim 1, characterized in that Comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal includes: Calculate different types of vital sign parameters affected by gases and normal ranges of vital sign parameters to obtain corresponding deviations from normal ranges; Obtain the weighted sum of all changes that deviate from the normal range as the risk value; The risk value is compared with a preset risk threshold, and if the risk value exceeds the preset risk threshold, a risk warning signal is output.

6. The method according to claim 5, characterized in that The advance amount of output risk warning signal is: Among them, R(t) represents the risk value, R threshold Indicates the preset risk threshold, Indicates the rate of change of risk value over time, △t pre Indicates the advance amount.

7. The method according to claim 5, characterized in that If the risk value is between the first risk threshold and the second risk threshold, a risk warning signal of a low risk warning is output; If the risk value is between the second risk threshold and the third risk threshold, a risk warning signal of a medium risk warning is output; If the risk value is between the third risk threshold and the fourth risk threshold, a risk warning signal of a high risk warning is output; Among them, the types of the preset risk thresholds include the first risk threshold, the second risk threshold, the third risk threshold and the fourth risk threshold which increase in sequence, and the types of the risk warning signals include the low risk warning, the medium risk warning and the high risk warning.

8. A transmission line deep foundation pit environment safety situation awareness device based on spatial coupling, comprising: The data acquisition module is used to obtain the vital signs parameters of the operators, and the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes; a concentration calculation module, used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the position of the operator as the operating gas concentration based on all the environmental gas concentrations and the corresponding distances; A vital sign prediction module, used for inputting the vital sign parameters of the operator and the working gas concentration into a vital sign prediction model for prediction, so as to obtain the vital sign parameters after being affected by the gas; A risk warning module, used for comparing the vital sign parameters after being affected by the gas with the normal range of the vital sign parameters to output a risk warning signal; Among them, the types of vital sign parameters of the operator include heart rate, blood oxygen saturation and respiratory rate.

9. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for environmental safety situation awareness of deep foundation pits of power transmission lines based on spatial coupling as described in any one of claims 1 to 7 is implemented.

10. A terminal, characterized in that: It includes a processor and a memory, and the memory is communicatively connected to the processor; the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes the method for safety situation awareness of deep foundation pit environment of power transmission lines based on spatial coupling as described in any one of claims 1 to 7.

Images