Physiological index monitoring method and system for high-voltage live working personnel

Abstract

The embodiment of the invention discloses a physiological index monitoring method for high-voltage live working personnel. The method comprises the steps that working parameters of real-time high-voltage live working are acquired; the operation parameters are input into the body temperature calculation model obtained through training, and the real-time body temperature of the operator is obtained; acquiring the reference body temperature of the operator, and calculating according to the reference body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data; acquiring body surface temperature physiological index data and body surface humidity physiological index data; according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data, a safety early warning value is calculated, and safety early warning of the operator is achieved. By implementing the embodiment of the invention, safety early warning can be effectively carried out in hot-line work, the safety production of operators is guided, and the life safety of the operators in a hot-line work environment is ensured.

Description

Technical Field

[0001] The present application relates to the field of live-line working, and in particular to a method and system for monitoring physiological indicators of personnel working on high-voltage live-line operations. Background Art

[0002] With the development of economy and technology and the improvement of people's living standards, electric energy has become an indispensable secondary energy source in people's production and life, playing a huge role in production and life. Therefore, the safe and reliable transmission of electric energy has always been one of the core tasks of the power grid system. Power outage time is one of the important indicators to measure the performance of the power grid. In order to minimize the power outage time and ensure the normal supply of electric energy, live operation of the power grid came into being.

[0003] At present, when working with power grids in my country, workers wearing shielding suits are wearing very heavy shielding suits. When workers wear shielding suits, their metabolism and sweating increase, and the temperature and humidity inside the shielding suits will change. The human body will produce a series of physiological reactions: faster heart rate, higher core temperature, higher skin temperature, and increased sweat metabolism. This state can easily make workers feel tired, weak, and confused, making it difficult for them to concentrate on their work and easily neglect safety issues, thereby increasing the probability of accidents at the work site. In severe cases, it will lead to heat diseases or even death. Summary of the invention

[0004] The embodiment of the present application discloses a method and system for monitoring physiological indicators of high-voltage live-line workers, which can effectively provide safety warnings during live-line work, guide workers' safe production, and ensure the life safety of workers in live-line working environments.

[0005] The present application embodiment discloses a method for monitoring physiological indicators of high-voltage live-line workers, the method comprising:

[0006] Obtain real-time working parameters of high-voltage live working;

[0007] Inputting the operating parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator;

[0008] Obtaining a baseline body temperature of the operator, and calculating body temperature fluctuation data and heart rate physiological index data based on the baseline body temperature and the real-time body temperature;

[0009] Obtaining physiological index data of body surface temperature and body surface humidity;

[0010] A safety warning value is calculated according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data to achieve safety warning for the operator.

[0011] As an optional implementation, the method includes:

[0012] The working parameters include: environmental parameters of the high-voltage live working area and the labor intensity of the workers; wherein the environmental parameters include: ambient temperature, ambient air pressure and ambient humidity; the labor intensity refers to the density of the workload completed by the workers in the high-voltage live working.

[0013] As an optional implementation manner, before obtaining the real-time high-voltage live working operation parameters, the method further includes:

[0014] Acquire a sample operation data set, wherein the sample operation data set includes a plurality of sample operation parameters and a target real-time body temperature corresponding to each sample operation parameter;

[0015] The sample operation parameters and the target real-time body temperature corresponding to the sample operation parameters are input into the body temperature calculation model to be trained, and the predicted real-time body temperature is determined by the body temperature calculation model to be trained according to the input sample operation parameters. The model parameters of the body temperature calculation model to be trained are adjusted according to the error between the predicted real-time body temperature and the input target real-time body temperature until the error between the predicted real-time body temperature and the input target real-time body temperature is less than an error threshold, so as to obtain the trained body temperature calculation model.

[0016] As an optional implementation, the obtaining of the baseline body temperature of the operator, and the calculation based on the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data include:

[0017] Obtaining a baseline body temperature of the operator, and calculating based on the baseline body temperature and the real-time body temperature to obtain the body temperature fluctuation data;

[0018] Obtaining a baseline heart rate of the operator;

[0019] The heart rate physiological index data is obtained by calculating according to the body temperature fluctuation data and the reference heart rate.

[0020] As an optional implementation, the method includes a body surface temperature sensor and a body surface humidity sensor; the step of obtaining body surface temperature physiological index data and body surface humidity physiological index data includes:

[0021] The body surface temperature physiological index data of the operator when performing live working is collected by the body surface temperature sensor;

[0022] The body surface humidity physiological index data of the operator when performing live work is collected through the body surface humidity sensor.

[0023] As an optional implementation, the calculating of the safety warning value according to the real-time body temperature and physiological index data to achieve the safety warning of the operator includes:

[0024] Calculate the heart rate variability based on the heart rate physiological index data;

[0025] The safety warning value of the operator during live working is obtained by calculation according to the reference body temperature, the real-time body temperature, the reference heart rate, the heart rate physiological index data, the body surface temperature physiological index data, and the body surface humidity physiological index data;

[0026] A safety threshold is determined, and if the safety warning value exceeds the safety threshold, an alarm is issued to the operator.

[0027] As an optional implementation manner, the determining of the safety threshold, and if the safety warning value exceeds the safety threshold, alerting the operator, includes:

[0028] If the safety warning value is greater than 8 or the heart rate variability is greater than 0.051, the operator is forced to take a rest;

[0029] If the safety warning value is greater than 7 and less than or equal to 8 and the heart rate variability is less than or equal to 0.051, the operator is reminded to take a proper rest;

[0030] If the safety warning value is greater than 6 and less than or equal to 7 and the heart rate variability is less than or equal to 0.051, the operator is reminded to reasonably adjust the working hours;

[0031] If the safety warning value is less than or equal to 6 and the heart rate variability is less than or equal to 0.051, it is considered to be in a normal state.

[0032] The present application embodiment discloses a physiological index monitoring system for high-voltage live-line workers, the system comprising:

[0033] A first acquisition module is used to acquire real-time operation parameters of high-voltage live operations;

[0034] A simulation module, used for inputting the operation parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator;

[0035] A calculation module, used to obtain the baseline body temperature of the operator, and calculate according to the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data;

[0036] The second acquisition module is used to acquire the physiological index data of body surface temperature and the physiological index data of body surface humidity;

[0037] The early warning module is used to calculate the safety early warning value according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data, so as to realize the safety early warning of the operator.

[0038] An embodiment of the present application discloses an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor implements any one of the methods for monitoring physiological indicators of high-voltage live-line workers disclosed in the embodiments of the present application.

[0039] An embodiment of the present application discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, any method for monitoring physiological indicators of high-voltage live-line workers disclosed in the embodiment of the present application is implemented.

[0040] Compared with the related art, the embodiments of the present application have the following beneficial effects:

[0041] The embodiment of the present application provides a method and system for monitoring the physiological indicators of high-voltage live-line workers, which obtains real-time working parameters of high-voltage live-line work, inputs the working parameters into a trained body temperature calculation model, obtains the real-time body temperature of the worker, obtains the baseline body temperature of the worker, and calculates based on the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological indicator data, obtains body surface temperature physiological indicator data and body surface humidity physiological indicator data, calculates safety warning values ​​based on the real-time body temperature, heart rate physiological indicator data, body surface temperature physiological indicator data and body surface humidity physiological indicator data, and realizes safety warnings for workers. By implementing the embodiment of the present application, a body temperature calculation model is established. By acquiring the environmental parameters of the high-voltage live working area and the labor intensity of the high-voltage live working personnel in real time, the body temperature of the high-voltage live working personnel is collected in real time, and the real-time body temperature of the high-voltage live working personnel is obtained more accurately and continuously. The physiological indicator data of the high-voltage live working personnel is obtained more accurately and continuously based on the real-time body temperature of the high-voltage live working personnel. Then, based on accurate and reliable sensors, several physiological indicator data of the high-voltage live working personnel are obtained. A safety warning indicator is proposed and a reasonable safety threshold is formulated to evaluate the immediate status of the high-voltage live working personnel. At the same time, the heart rate variability of the human body is monitored, which can effectively carry out safety warnings in live working, guide the safe production of the workers, and ensure the life safety of the workers in the live working environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 It is a flow chart of a method for monitoring physiological indicators of high-voltage live-line workers disclosed in an embodiment of the present application;

[0044] Figure 2 It is a flowchart of calculating the safety warning value according to the real-time body temperature, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data disclosed in the embodiment of the present application to realize the safety warning of the operating personnel;

[0045] Figure 3 It is a flow chart of another method for monitoring physiological indicators of high-voltage live-line workers disclosed in an embodiment of the present application;

[0046] Figure 4 It is a structural schematic diagram of a physiological index monitoring system for high-voltage live-line workers disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present application and the accompanying drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0049] The embodiment of the present application discloses a method and system for monitoring physiological indicators of high-voltage live-line workers, which can effectively provide safety warnings during live-line work, guide workers' safe production, and ensure the life safety of workers in live-line working environments. Detailed descriptions are given below.

[0050] See also Figure 1 , Figure 11 is a flow chart of a method for monitoring physiological indicators of high-voltage live-line workers disclosed in an embodiment of the present application. Figure 1 As shown, the method for monitoring physiological indicators of high-voltage live-line workers may include the following steps:

[0051] Step S101, obtaining real-time operation parameters of high-voltage live operations.

[0052] High temperatures in summer have a great impact on high-voltage live-line workers. After humans entered the industrial age, greenhouse gas emissions increased dramatically, causing global warming. The World Meteorological Organization pointed out that in the 150 years after industrialization, the average temperature of the earth continued to rise. Data from the World Health Organization showed that from 2000 to 2016, the number of people affected by heat waves increased by about 125 million. In addition, the growth rate of casualties caused by high temperature heat waves is also much higher than all other extreme weather events such as severe cold, drought, and floods. Although the human body has certain automatic temperature regulation mechanisms, such as muscle movement, sweating, and vasodilation, long-term exposure to high temperature and high humidity environments and strong solar radiation can easily cause excessive heat stress and heat stroke. High temperatures can damage important organs of the human body such as the heart, stomach, kidneys, and liver, leading to diseases and symptoms such as nephritis, liver damage, and stomach cramps, and even heat stroke, causing the core temperature of the human body to rise rapidly to more than 40°C, endangering life. On the other hand, strong solar radiation can easily cause skin dehydration, aging, and even melanoma. Infrared rays in the sunlight band can induce the outbreak of reactive oxygen species in the mitochondria of somatic cells, change the expression of genes related to skin aging, form wrinkles and cause cancer. Endogenous photosensitizer molecules stimulated by ultraviolet rays can react with DNA, activate cellular nucleases, and induce DNA damage.

[0053] When carrying out live working, operation and maintenance, and inspection work in the summer, workers are often faced with a working environment of "three highs", that is, a working environment of high pressure, high altitude, and high temperature, which can easily lead to an increased risk of heat stroke for workers. Furthermore, in order to ensure the personal safety of workers during live working, workers need to wear shielding clothing made of special shielding materials to complete the work. The fabric of shielding clothing is thick and airtight. Once the workers suffer from heat stroke and other discomfort, it is very easy to get into danger.

[0054] In some embodiments, real-time high-voltage live working parameters of high-voltage live working personnel are obtained, wherein the working parameters include: environmental parameters of the high-voltage live working area and the labor intensity of the workers, the environmental parameters include: ambient temperature, ambient air pressure and ambient humidity, the labor intensity refers to the workload density completed by the workers in the high-voltage live working, and the workload density refers to the amount of work completed per unit time.

[0055] Step S102, inputting the operation parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator.

[0056] By measuring three kinds of data, namely, the ambient temperature, ambient air pressure and ambient humidity of the live working area at different times, that is, the data points collected at each moment include three characteristic values, and the real-time body temperature of the live working personnel at the corresponding time is collected, and then the real-time body temperature of the live working personnel, the ambient temperature, ambient air pressure and ambient humidity of the live working area are pre-processed, and finally the pre-processed real-time body temperature of the live working personnel, the ambient temperature, ambient air pressure and ambient humidity of the live working area are imported into the body temperature calculation model for training. After the training is completed, the real-time ambient temperature, ambient air pressure and ambient humidity can be input to simulate the real-time body temperature of the live working personnel.

[0057] Step S103, obtaining the baseline body temperature of the operator, and calculating based on the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data.

[0058] As an implementation method, a baseline body temperature of personnel performing high-voltage live-line operations is obtained, and the baseline body temperature of personnel performing high-voltage live-line operations under normal conditions is collected. The body temperature fluctuation data is calculated based on the baseline body temperature and the real-time body temperature. The baseline heart rate of the personnel is obtained, and the heart rate physiological indicator data is calculated based on the body temperature fluctuation data and the baseline heart rate.

[0059] In some embodiments, the difference between the baseline body temperature of the operator in a normal state and the real-time body temperature of the operator when working with high-voltage live wires, i.e., the body temperature fluctuation data, is calculated, and the baseline heart rate of the operator in a normal state is collected. When the real-time temperature of the operator rises, the heart rate will increase. Generally, for every 1°C increase in the real-time temperature of the operator, the heart rate increases by an average of 12 to 18 times per minute. The heart rate fluctuation value is calculated based on the body temperature fluctuation data, and the heart rate fluctuation value is added or subtracted from the baseline heart rate of the operator to obtain the heart rate physiological indicator data of the operator when working with high-voltage live wires.

[0060] Step S104, obtaining body surface temperature physiological index data and body surface humidity physiological index data.

[0061] In some embodiments, a body surface temperature sensor is used to collect physiological indicator data of the surface temperature of workers when they perform live working, and the body surface temperature physiological indicator data of workers when they perform live working while wearing shielding clothing is obtained in real time. The body surface temperature sensor is used to measure the body surface temperature information of workers performing live working.

[0062] In some embodiments, a body surface humidity sensor is used to collect physiological indicator data of body surface humidity of workers when they perform live working, and the physiological indicator data of body surface humidity of workers when they perform live working while wearing shielding clothing is obtained in real time. The body surface humidity sensor is used to measure the body surface humidity information of workers performing live working.

[0063] Step S105, calculating the safety warning value according to the real-time body temperature, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data, so as to realize the safety warning of the operating personnel.

[0064] As an implementation method, after obtaining the baseline body temperature and baseline heart rate of live workers under normal conditions, and obtaining the real-time body temperature, heart rate physiological indicator data, body surface temperature physiological indicator data and body surface humidity physiological indicator data of the live workers when they are wearing shielding clothing for live working, the safety warning value of the live workers during live working is calculated in real time according to the baseline body temperature, baseline heart rate, real-time body temperature, heart rate physiological indicator data, body surface temperature physiological indicator data and body surface humidity physiological indicator data of the live workers, the safety warning value is compared with the pre-set safety threshold, and an alarm is issued when the safety warning value exceeds the safety threshold, thereby realizing safety warning for live workers.

[0065] In an embodiment of the present application, a baseline body temperature of a worker doing live high-voltage work and real-time operating parameters of the live high-voltage work are obtained, the operating parameters are input into a trained body temperature calculation model to obtain the real-time body temperature of the worker, body temperature fluctuation data and heart rate physiological index data are calculated based on the baseline body temperature and the real-time body temperature, body surface temperature physiological index data and body surface humidity physiological index data are obtained, and a safety warning value is calculated based on the real-time body temperature, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data to achieve safety warning for the worker. By implementing the embodiment of the present application, a body temperature calculation model is established. By acquiring the environmental parameters of the high-voltage live working area and the labor intensity of the high-voltage live working personnel in real time, the body temperature of the high-voltage live working personnel is collected in real time, and the real-time body temperature of the high-voltage live working personnel is obtained more accurately and continuously. The physiological indicator data of the high-voltage live working personnel is obtained more accurately and continuously based on the real-time body temperature of the high-voltage live working personnel. Then, based on accurate and reliable sensors, several physiological indicator data of the high-voltage live working personnel are obtained. A safety warning indicator is proposed and a reasonable safety threshold is formulated to evaluate the immediate status of the high-voltage live working personnel. At the same time, the heart rate variability of the human body is monitored, which can effectively carry out safety warnings in live working, guide the safe production of the workers, and ensure the life safety of the workers in the live working environment.

[0066] Figure 2The present invention discloses a flow chart of calculating a safety warning value according to real-time body temperature, heart rate physiological index data, body surface temperature physiological index data, and body surface humidity physiological index data to realize a safety warning for an operator, and further includes the following steps:

[0067] Step S201, calculating the heart rate variability according to the heart rate physiological index data.

[0068] Heart rate variability analysis is a commonly used quantitative indicator for judging autonomic nervous activity. The level of heart rate variability can reflect the degree of change in the body's heart rate. The RMSSD root mean square value, as a statistical indicator, is a well-defined and representative time domain indicator. It is the root mean square of the difference between adjacent normal cardiac cycles. The normal value range is 27±12. It is an indicator of heart rate variability and mainly reflects the activity of the body's parasympathetic nerves.

[0069] As an optional implementation, the heart rate physiological index data of the live working personnel is obtained every ten seconds, and the heart rate physiological index data is substituted into the heart rate variability calculation formula. The heart rate variability calculation formula is as follows: Among them, X1, X2, …X i , …, X n It is the heart rate physiological index data of workers working with live wires.

[0070] Step S202, obtains the safety warning value of the operator during live working according to the baseline body temperature, real-time body temperature, baseline heart rate, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data.

[0071] As an optional implementation, the reference body temperature, real-time body temperature, reference heart rate, heart rate physiological index data, body surface temperature physiological index data, and body surface humidity physiological index data are substituted into the safety warning value calculation formula. The safety warning value calculation formula is as follows: Among them, SWI is the safety warning value, T si is the real-time temperature of the live-line workers wearing shielding clothing while performing live-line work, T s0 HR is the reference temperature of live working personnel under normal conditions. i is the heart rate physiological index data collected in real time when live-line workers are wearing shielding clothing for live-line work, HR0 is the baseline heart rate collected in real time when live-line workers are in normal state, T a It is the physiological index data of body surface temperature collected in real time when live-line workers are wearing shielding clothing for live-line work, and RH is the physiological index data of body surface humidity collected in real time when live-line workers are wearing shielding clothing for live-line work.

[0072] Step S203, determining a safety threshold, and if the safety warning value exceeds the safety threshold, an alarm is issued to the operator.

[0073] As an optional implementation, if the safety warning value is greater than 8 or the heart rate variability is greater than 0.051, it is determined to be a level 3 alarm state, and the operating personnel need to be forced to take a rest. If the safety warning value is greater than 7 and less than or equal to 8 and the heart rate variability is less than or equal to 0.051, it is determined to be a level 2 alarm state, and the operating personnel need to be reminded to take a proper rest. If the safety warning value is greater than 6 and less than or equal to 7 and the heart rate variability is less than or equal to 0.051, it is determined to be a level 1 alarm state, and the operating personnel need to be reminded to reasonably adjust their working hours. If the safety warning value is less than or equal to 6 and the heart rate variability is less than or equal to 0.051, it is determined to be a normal state.

[0074] See also Figure 3 , Figure 3 1 is a flow chart of another method for monitoring physiological indicators of high-voltage live-line workers disclosed in an embodiment of the present application. In one embodiment, the method for monitoring physiological indicators of high-voltage live-line workers includes the following steps:

[0075] Step S301, obtaining a sample operation data set, where the sample operation data set includes a plurality of sample operation parameters and a target real-time body temperature corresponding to each sample operation parameter.

[0076] In some embodiments, multiple sample operation parameters include sample environmental parameters of the high-voltage live operation area and sample labor intensity of the operators, wherein the sample environmental parameters include: sample environmental temperature, sample environmental air pressure and sample environmental humidity, and the sample labor intensity refers to the sample workload density completed by the operators in the high-voltage live operation.

[0077] Step S302: input the sample operation parameters and the target real-time body temperature corresponding to the sample operation parameters into the body temperature calculation model to be trained; determine the predicted real-time body temperature according to the input sample operation parameters through the body temperature calculation model to be trained; adjust the model parameters of the body temperature calculation model to be trained according to the error between the predicted real-time body temperature and the input target real-time body temperature until the error between the predicted real-time body temperature and the input target real-time body temperature is less than the error threshold, so as to obtain the trained body temperature calculation model.

[0078] In some embodiments, the sample operation parameters and the target real-time body temperature corresponding to the sample operation parameters are input into the body temperature calculation model to be trained, and the electronic device can calculate the predicted real-time body temperature through the body temperature calculation model to be trained, and then calculate the error between the target real-time body temperature and the predicted real-time body temperature. If the error between the target real-time body temperature and the predicted real-time body temperature is greater than a preset error threshold, the model parameters of the body temperature calculation model to be trained are adjusted. If the error between the target real-time body temperature and the predicted real-time body temperature is less than the preset error threshold, the trained body temperature calculation model can be obtained. The error threshold is used to determine whether the body temperature calculation model to be trained has completed training. If the error between the target real-time body temperature and the predicted real-time body temperature is less than the error threshold, it can be indicated that the body temperature calculation model has completed training. For example, the error threshold can be 0.05. If the error between the target real-time body temperature and the predicted real-time body temperature is less than 0.05, it can be indicated that the body temperature calculation model to be trained has completed training, thereby obtaining a trained body temperature calculation model.

[0079] Step S303, obtaining real-time operation parameters of high-voltage live operations.

[0080] Step S304, inputting the operation parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator.

[0081] Step S305, obtaining the baseline body temperature of the operator, and calculating based on the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data.

[0082] Step S306, obtaining body surface temperature physiological index data and body surface humidity physiological index data.

[0083] Step S307, calculating the safety warning value according to the real-time body temperature, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data, so as to realize the safety warning of the operating personnel.

[0084] The description of steps S303 to S307 may refer to the relevant description of steps S101 to S105 in the above embodiment, which will not be repeated here.

[0085] See also Figure 4 , Figure 4 Schematic diagram of a physiological index monitoring system for high-voltage live-line workers disclosed in the embodiment of the present application. Figure 4 As shown, the physiological index monitoring system 400 for high-voltage live-line workers may include: a first acquisition module 401 , a simulation module 402 , a calculation module 403 , a second acquisition module 404 and an early warning module 405 .

[0086] The first acquisition module 401 is used to acquire real-time operation parameters of high-voltage live operation;

[0087] The simulation module 402 is used to input the operation parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator;

[0088] The calculation module 403 is used to obtain the baseline body temperature of the operator, and calculate the body temperature fluctuation data and the heart rate physiological index data according to the baseline body temperature and the real-time body temperature;

[0089] The second acquisition module 404 is used to acquire the physiological index data of body surface temperature and the physiological index data of body surface humidity;

[0090] The early warning module 405 is used to calculate the safety early warning value according to the real-time body temperature, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data, so as to realize the safety early warning of the operating personnel.

[0091] In one embodiment, the physiological index monitoring system 400 for high-voltage live-line workers further includes:

[0092] The operating parameters include: environmental parameters of the high-voltage live working area and the labor intensity of the operators; among which, the environmental parameters include: ambient temperature, ambient air pressure and ambient humidity; the labor intensity refers to the density of the workload completed by the operators in the high-voltage live working.

[0093] In one embodiment, the physiological index monitoring system 400 for high-voltage live-line workers further includes a sample acquisition module and a training module:

[0094] A sample acquisition module is used to acquire a sample operation data set, where the sample operation data set includes a plurality of sample operation parameters and a target real-time body temperature corresponding to each sample operation parameter;

[0095] The training module is used to input the sample operation parameters and the target real-time body temperature corresponding to the sample operation parameters into the body temperature calculation model to be trained, determine the predicted real-time body temperature according to the input sample operation parameters through the body temperature calculation model to be trained, and adjust the model parameters of the body temperature calculation model to be trained according to the error between the predicted real-time body temperature and the input target real-time body temperature until the error between the predicted real-time body temperature and the input target real-time body temperature is less than the error threshold, so as to obtain the trained body temperature calculation model.

[0096] In one embodiment, the calculation module 403 is also used to obtain the baseline body temperature of the operator, and obtain body temperature fluctuation data based on the baseline body temperature and the real-time body temperature, obtain the baseline heart rate of the operator, and obtain heart rate physiological indicator data based on the body temperature fluctuation data and the baseline heart rate.

[0097] In one embodiment, the second acquisition module 404 further includes a temperature acquisition unit and a humidity acquisition unit:

[0098] A temperature collection unit is used to collect the physiological index data of the surface temperature of the operator when performing live work through the surface temperature sensor;

[0099] The humidity collection unit is used to collect physiological index data of body surface humidity of workers when they are performing live work through body surface humidity sensors.

[0100] In one embodiment, the early warning module 405 further includes a first calculation unit, a second calculation unit and a judgment unit:

[0101] A first calculation unit, used for calculating according to the heart rate physiological index data to obtain the heart rate variability;

[0102] The second calculation unit is used to calculate the safety warning value of the operator during live working according to the reference body temperature, real-time body temperature, reference heart rate, heart rate physiological index data, body surface temperature physiological index data and body surface humidity physiological index data;

[0103] The judgment unit is used to determine the safety threshold. If the safety warning value exceeds the safety threshold, an alarm is issued to the operator.

[0104] In one embodiment, the judgment unit is also used to force the operator to take a rest if the safety warning value is greater than 8 or the heart rate variability is greater than 0.051; to remind the operator to take a proper rest if the safety warning value is greater than 7 and less than or equal to 8 and the heart rate variability is less than or equal to 0.051; to remind the operator to reasonably adjust the working hours if the safety warning value is greater than 6 and less than or equal to 7 and the heart rate variability is less than or equal to 0.051; and to determine that it is in a normal state if the safety warning value is less than or equal to 6 and the heart rate variability is less than or equal to 0.051.

[0105] The embodiments of the present application disclose a computer program product, including a computer program, and the computer program can be executed by a processor to implement the methods described in the above embodiments.

[0106] It should be understood that the "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. Those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required for the present application.

[0107] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the above-mentioned processes does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0108] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to perform some or all of the steps of the above-mentioned methods of various embodiments of the present application.

[0111] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0112] The above is a detailed introduction to a method and system for monitoring physiological indicators of high-voltage live-line workers disclosed in the embodiment of the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those of ordinary skill in the art, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for monitoring physiological indicators of high-voltage live-line workers, characterized in that: The method comprises: Obtain real-time working parameters of high-voltage live working; Inputting the operating parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator; Obtaining a baseline body temperature of the operator, and calculating body temperature fluctuation data and heart rate physiological index data based on the baseline body temperature and the real-time body temperature; Obtaining physiological index data of body surface temperature and body surface humidity; A safety warning value is calculated according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data to achieve safety warning for the operator.

2. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 1, characterized in that: The method comprises: The working parameters include: environmental parameters of the high-voltage live working area and the labor intensity of the workers; wherein the environmental parameters include: ambient temperature, ambient air pressure and ambient humidity; the labor intensity refers to the density of the workload completed by the workers in the high-voltage live working.

3. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 1, characterized in that: Before obtaining the real-time working parameters of the high-voltage live working, the method further includes: Acquire a sample operation data set, wherein the sample operation data set includes a plurality of sample operation parameters and a target real-time body temperature corresponding to each sample operation parameter; The sample operation parameters and the target real-time body temperature corresponding to the sample operation parameters are input into the body temperature calculation model to be trained, and the predicted real-time body temperature is determined by the body temperature calculation model to be trained according to the input sample operation parameters. The model parameters of the body temperature calculation model to be trained are adjusted according to the error between the predicted real-time body temperature and the input target real-time body temperature until the error between the predicted real-time body temperature and the input target real-time body temperature is less than an error threshold, so as to obtain the trained body temperature calculation model.

4. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 1, characterized in that: The obtaining of the baseline body temperature of the operator and the calculation based on the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data include: Obtaining a baseline body temperature of the operator, and calculating based on the baseline body temperature and the real-time body temperature to obtain the body temperature fluctuation data; Obtaining a baseline heart rate of the operator; The heart rate physiological index data is obtained by calculating according to the body temperature fluctuation data and the reference heart rate.

5. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 1, characterized in that: The method includes a body surface temperature sensor and a body surface humidity sensor; the step of obtaining body surface temperature physiological index data and body surface humidity physiological index data includes: The body surface temperature physiological index data of the operator when performing live working is collected by the body surface temperature sensor; The body surface humidity physiological index data of the operator when performing live work is collected through the body surface humidity sensor.

6. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 1, characterized in that: The calculating of the safety warning value according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data to realize the safety warning of the operator includes: Calculate the heart rate variability based on the heart rate physiological index data; The safety warning value of the operator during live working is obtained by calculation according to the reference body temperature, the real-time body temperature, the reference heart rate, the heart rate physiological index data, the body surface temperature physiological index data, and the body surface humidity physiological index data; A safety threshold is determined, and if the safety warning value exceeds the safety threshold, an alarm is issued to the operator.

7. A method for monitoring physiological indicators of high-voltage live-line workers according to claim 6, characterized in that: The determining of the safety threshold, and if the safety warning value exceeds the safety threshold, alerting the operator, includes: If the safety warning value is greater than 8 or the heart rate variability is greater than 0.051, the operator is forced to take a rest; If the safety warning value is greater than 7 and less than or equal to 8 and the heart rate variability is less than or equal to 0.051, the operator is reminded to take a proper rest; If the safety warning value is greater than 6 and less than or equal to 7 and the heart rate variability is less than or equal to 0.051, the operator is reminded to reasonably adjust the working hours; If the safety warning value is less than or equal to 6 and the heart rate variability is less than or equal to 0.051, it is considered to be in a normal state.

8. A physiological index monitoring system for high-voltage live-line workers, characterized in that: include: A first acquisition module is used to acquire real-time operation parameters of high-voltage live operations; A simulation module, used for inputting the operation parameters into the trained body temperature calculation model to obtain the real-time body temperature of the operator; A calculation module, used to obtain the baseline body temperature of the operator, and calculate according to the baseline body temperature and the real-time body temperature to obtain body temperature fluctuation data and heart rate physiological index data; The second acquisition module is used to acquire the physiological index data of body surface temperature and the physiological index data of body surface humidity; The early warning module is used to calculate the safety early warning value according to the real-time body temperature, the heart rate physiological index data, the body surface temperature physiological index data and the body surface humidity physiological index data, so as to realize the safety early warning of the operator.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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