Power dispatching control center dispatching personnel fatigue monitoring system and method

Abstract

The invention discloses a fatigue monitoring system and method for dispatchers of an electric power dispatching control center. The fatigue monitoring system comprises a face fatigue monitoring module, an environment adjusting module, a seat intervention module and a reminding module. Fatigue feature data are collected in real time through the face fatigue monitoring module, a fatigue index is calculated, the face fatigue monitoring module is linked with the environment adjustment module, the seat intervention module and the reminding module, contact type stimulation reminding is conducted on personnel through the seat intervention module, the personnel get up and stand, accurate graded monitoring and intelligent intervention on the fatigue state of the dispatcher are achieved, and the dispatching efficiency is improved. The risk of misoperation caused by fatigue is effectively reduced, and a man-machine cooperative safety closed loop of state perception-graded intervention-safety protection is constructed.

Description

Technical Field

[0001] The present invention relates to the technical field of power system safety monitoring, and in particular to a fatigue monitoring system and method for dispatchers in a power dispatching control center. Background Art

[0002] In the power system dispatching and operation scenario, cascade hydropower stations and power dispatchers need to monitor the grid status in real time 24 hours a day, perform key operations such as equipment startup and shutdown, and load regulation. Long-term, high-load work can easily lead to fatigue, resulting in decreased attention and delayed operational response, becoming a potential risk point for safe power operation. However, the current power dispatching field generally lacks monitoring and intervention methods for personnel fatigue, which is mainly reflected in: Gaps in monitoring technology: Existing dispatch systems focus on monitoring equipment operating data, lacking real-time awareness of dispatchers' physiological and behavioral states. This makes it impossible to identify operational risks caused by fatigue. For example, dispatchers may miss warnings or misjudge equipment status due to fatigue, making it difficult to detect safety hazards in a timely manner. Lack of intervention measures: The existing dispatching system does not have an intervention mechanism for dispatchers' fatigue status. It is difficult to identify personnel fatigue status in a timely and clear manner, and it is impossible to accurately match different fatigue levels to implement effective intervention.

[0003] As power grids become increasingly intelligent, the need for "human-machine collaborative safety" is becoming increasingly urgent. This paper addresses the technological gap in fatigue monitoring and intervention in the power dispatching field by proposing a fatigue monitoring system that integrates multi-dimensional state perception and hierarchical intelligent reminders. This system fills the gap in existing technologies for "personnel status control" and provides a new solution for safe power operation, from "equipment monitoring" to "human-machine collaborative prevention."

[0004] In the prior art, Chinese patent document CN114321759A, published (announced) on April 12, 2022, discloses a fatigue warning intervention method and system based on facial recognition. The system comprises: a micro-expression recognition unit for collecting data on blink counts, eye opening and closing, eye temperature, and yawn counts; a control unit for receiving data generated by the micro-expression recognition unit and determining whether the data exceeds a preset fatigue threshold. If fatigue is detected, the control unit generates a first control instruction; a lighting unit for adjusting the light intensity of a desk lamp, with the light intensity set to strong or weak; and a voice unit for announcing fatigue through voice, which is a micro-broadcast. Upon receiving the first control instruction, the lighting unit adjusts the light intensity of the desk lamp to strong light, and upon receiving the first control instruction, the voice unit controls the micro-broadcast to announce fatigue. The system is characterized by being able to adjust the light intensity of the desk lamp according to the fatigue level of the person and simultaneously remind the person. However, its disadvantages are that, firstly, it lacks a seat intervention module, which prevents the dispatcher from providing a contact reminder or prompting the dispatcher to stand up.

[0005] In addition, Chinese patent document CN213228611U, published (announced) on May 18, 2021, discloses an intelligent vehicle-mounted sound system for relieving fatigue, and Chinese patent document CN117985062A, published (announced) on May 7, 2024, discloses a train rest regulation system, method, device and train, wherein although a massage seat is disclosed, the purpose is to relieve fatigue of personnel, and is not used for contact stimulation and reminding of personnel and standing up. SUMMARY

[0006] The technical problem to be solved by the present application is to solve the problems in the above background art, provide a power dispatching control center dispatch personnel fatigue monitoring system and method, real-time collection of fatigue feature data by a face fatigue monitoring module, calculation of a fatigue index and linkage of an environment adjustment, seat intervention and reminding module, contact stimulation and reminding of personnel by a seat intervention module, and standing up of personnel, precise grading monitoring and intelligent intervention of the fatigue state of dispatch personnel are realized, the risk of misoperation caused by fatigue is effectively reduced, and a man-machine collaborative safety closed loop of "state perception-graded intervention-safety protection" is constructed.

[0007] In order to realize the above technical features, the purpose of the present application is realized as follows: a power dispatching control center dispatch personnel fatigue monitoring system, comprising: a face fatigue monitoring module, the face fatigue monitoring module is used for real-time collection of dispatch personnel facial feature data, and generating a fatigue level based on the facial feature data; an environment adjustment module, the environment adjustment module is used for adjusting the environment state according to the fatigue level generated by the face fatigue monitoring module; a seat intervention module, the seat intervention module is used for controlling the seat state according to the fatigue level generated by the face fatigue monitoring module, to mechanically stimulate the dispatch personnel; a reminding module, the reminding module is used for pushing a graded reminder according to the fatigue level generated by the face fatigue monitoring module.

[0008] The face fatigue monitoring module collects dispatch personnel facial feature data in real time through a high-definition camera and a visual algorithm, the facial feature data includes blink frequency, eyelid state, eyeball rotation rate and micro-expression change, and the fatigue level includes mild, moderate and severe.

[0009] The warning logic of the face fatigue monitoring module is: Mild fatigue: ; Moderate fatigue: ; Severe fatigue: ; Combined with the fatigue level determination formula, identify mild, moderate and severe fatigue levels; The fatigue level determination formula is: ; Where: is the fatigue index; is the blink frequency per unit time; The length of time the eyes are away from the screen; is the eye movement rate; is the micro-expression fatigue characteristic value; 、 、 、 is the weight coefficient of each feature.

[0010] The environmental adjustment module includes an air-conditioning dynamic temperature control unit and an intelligent lighting unit. The air-conditioning dynamic temperature control unit automatically adjusts the temperature and fresh air volume according to the fatigue level. The intelligent lighting unit includes adjustable color temperature lamps installed on the ceiling of the dispatching hall and above each dispatching desk, supporting independent control of partitions. The intelligent lighting unit switches the color temperature, brightness and flashing mode according to the day and night scenes and fatigue level.

[0011] The adjustment logic of the air-conditioning dynamic temperature control unit is: Normal state, ,temperature ; Mild fatigue, ,temperature ; moderate / severe fatigue, , fresh air volume , the temperature was maintained at a constant 24°C.

[0012] In the above formula: is the fatigue index, is the benchmark fresh air volume; When fatigue is moderate, the lights on the corresponding dispatching desk will flash multiple times and the color temperature will be adjusted; When you are severely tired, the corresponding desk lamp will flash red.

[0013] The seat intervention module integrates a multi-zone low-frequency vibration motor and a pressure sensor. The seat status triggers vibrations of different intensities on the lumbar support, back, and buttocks according to the fatigue level, and generates a reminder to stand up based on the pressure distribution of sitting for a long time.

[0014] The vibration intensity formula of the seat intervention module is: Vibration intensity ; Where: is the strength coefficient, mild fatigue , mild fatigue , severe fatigue ; wherein the mild fatigue corresponds to the lumbar area pulsed vibration for n seconds, moderate fatigue corresponding to the back and hips alternating vibration for m seconds, severe fatigue corresponding to the entire area strong vibration.

[0015] The reminder module pushes a graded voice reminder to the dispatch personnel according to the fatigue level, and when severe fatigue occurs, the dispatch console red light flashes and the management personnel terminal sends a short message reminder.

[0016] It also includes a data review and reminder module, which is used to store the fatigue level and corresponding time generated by the face fatigue monitoring module, to count the fatigue distribution and high-frequency fatigue period of all personnel, and to generate activity reminders based on data in the easy fatigue period; The statistical formula of the high-frequency fatigue period is: ; wherein P(t) is the fatigue occurrence probability of period t; N is the total amount of historical fatigue data; is the Dirac function, which is 1 when , otherwise 0; is the i-th fatigue event occurrence time; When , it is determined as a high-frequency easy fatigue period, triggering an activity reminder.

[0017] The monitoring method of the power dispatching control center dispatcher fatigue monitoring system is used to monitor the fatigue state of the power dispatching control center dispatcher, and the monitoring method comprises the following steps: S1, real-time acquisition of face feature data of power dispatching control center dispatchers; S2, calculating the fatigue index F according to the acquired face feature data, and generating the fatigue level according to the fatigue index F; S3, when , it is a normal state, the environmental temperature is set to 24-26℃, and the seat intervention module and the reminder module have no intervention; When , it is mild fatigue, the environmental temperature is set to 26-28℃, the lumbar area vibration motor of the seat intervention module is pulsed at a first frequency for n seconds; the reminder module issues a mild fatigue state reminder; When , it is moderate fatigue, the environmental temperature is set to 23-24℃, and the fresh air volume is increased; the back and hip vibration motors of the seat intervention module are alternately vibrated for m seconds; the reminder module issues a moderate fatigue state reminder; when When the driver is in severe fatigue state, the ambient temperature is set to 23-24℃ and the fresh air volume is increased; the seat intervention module's vibration motors in the entire area vibrate synchronously for w seconds, and the reminder module issues a severe fatigue state reminder.

[0018] Compared with the prior art, the present invention adopting the above technical solution has the following outstanding features: The present invention realizes active reminders and attention awakening of fatigue status, identifies mild to severe fatigue in real time through multi-dimensional monitoring, and automatically triggers layered intervention measures such as seat vibration, environmental temperature and humidity adjustment, and voice reminders according to different fatigue levels. It can awaken attention in time without human autonomous perception, avoid the decline in status due to fatigue, and ensure that dispatchers can continue to maintain a sober operating state. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art.

[0020] Figure 1 The overall flow chart provided by the present invention.

[0021] Figure 2 This is the environmental regulation sub-flowchart of the present invention.

[0022] Figure 3 This is the seat intervention sub-flowchart of the present invention.

[0023] Figure 4 This is a reminder linkage sub-flowchart of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] It should be noted that references in the specification to "one embodiment," "an embodiment," "exemplary embodiments," "some embodiments," etc. indicate that the described embodiments may include specific features, structures, or characteristics, but not necessarily every embodiment will include such specific features, structures, or characteristics. Furthermore, when specific features, structures, or characteristics are described in conjunction with an embodiment, it is within the knowledge of persons skilled in the relevant art to implement such features, structures, or characteristics in conjunction with other embodiments (whether or not explicitly described).

[0026] Example 1: A fatigue monitoring system for dispatchers in a power dispatch control center, comprising: The facial fatigue monitoring module is used to collect the dispatcher's facial feature data in real time and generate a fatigue level based on the facial feature data; An environment adjustment module, which is used to adjust the environment state according to the fatigue level generated by the face fatigue monitoring module; The seat intervention module is used to control the seat status according to the fatigue level generated by the face fatigue monitoring module to mechanically stimulate the dispatcher; The reminder module is used to push graded reminders based on the fatigue level generated by the face fatigue monitoring module.

[0027] The facial fatigue monitoring module collects fatigue feature data in real time, calculates the fatigue index, and links the environmental adjustment, seat intervention, and reminder modules. The seat intervention module provides contact stimulation reminders to personnel, and allows them to stand up. This achieves accurate graded monitoring and intelligent intervention of the fatigue status of dispatchers, effectively reducing the risk of misoperation caused by fatigue, and building a human-machine collaborative safety closed loop of "state perception-graded intervention-safety protection."

[0028] Specifically, the facial fatigue monitoring module uses high-definition cameras and visual algorithms to collect real-time facial feature data of dispatchers. The facial feature data includes blinking frequency, eyelid status, eye rotation rate and micro-expression changes. The fatigue levels include mild, moderate and severe.

[0029] The early warning logic of the face fatigue monitoring module is: Mild fatigue: ; Moderate fatigue: ; Severe fatigue: ; Combined with the fatigue level determination formula, identify mild, moderate and severe fatigue levels; The fatigue level determination formula is: ; Where: is the fatigue index; is the blink frequency per unit time; The length of time the eyes are away from the screen; is the eye movement rate; is the micro-expression fatigue characteristic value; 、 、 、 is the weight coefficient of each feature.

[0030] See also Figure 2The environmental adjustment module includes an air-conditioning dynamic temperature control unit and an intelligent lighting unit. The air-conditioning dynamic temperature control unit automatically adjusts the temperature and fresh air volume according to the fatigue level. The intelligent lighting unit includes adjustable color temperature lamps installed on the ceiling of the dispatching hall and above each dispatching desk, which support independent control of partitions. The intelligent lighting unit switches the color temperature, brightness and flashing mode according to the day and night scenes and fatigue level.

[0031] The adjustment logic of the air conditioning dynamic temperature control unit is: Normal state, ,temperature ; Mild fatigue, ,temperature ; moderate / severe fatigue, , fresh air volume , the temperature was maintained at a constant 24°C.

[0032] In the above formula: is the fatigue index, is the benchmark fresh air volume; When fatigue is moderate, the lights on the corresponding dispatching desk will flash multiple times and the color temperature will be adjusted; When you are severely tired, the corresponding desk lamp will flash red.

[0033] See also Figure 3 The seat intervention module integrates multi-zone low-frequency vibration motors and pressure sensors. The seat status triggers vibrations of different intensities in the lumbar support, back, and buttocks according to the fatigue level, and generates a reminder to stand up based on the pressure distribution after sitting for a long time.

[0034] The vibration intensity formula of the seat intervention module is: Vibration intensity ; Where: is the strength coefficient, mild fatigue , moderate fatigue , severe fatigue ; Among them, mild fatigue corresponds to the waist support area Pulse vibration, lasting n seconds, moderate fatigue corresponding to the back and buttocks Alternating vibration, lasting m seconds, severe fatigue corresponds to the entire area Strong vibration.

[0035] See also Figure 4 The reminder module pushes graded voice reminders to dispatchers according to fatigue levels. When they are severely fatigued, the red light on the dispatch desk flashes and the SMS reminder on the management terminal is triggered simultaneously.

[0036] Further comprising a data review and reminding module, the data review and reminding module is used for storing the fatigue level and the corresponding time generated by the face fatigue monitoring module, and the fatigue distribution and high-frequency fatigue period of all personnel are counted, and the activity reminder of the fatigue-prone period is generated based on the data; The statistical formula of the high-frequency fatigue period is: ; Wherein, P(t) is the fatigue occurrence probability of the period t; N is the total amount of historical fatigue data; is the Dirac function, when , it is 1, otherwise it is 0; is the i-th fatigue event occurrence time; When , it is determined as a high-frequency fatigue-prone period, and an activity reminder is triggered.

[0037] Embodiment 2: Referring to Figure 1 , a monitoring method of a power dispatching control center dispatcher fatigue monitoring system is adopted to monitor the fatigue state of the power dispatching control center dispatcher, and the monitoring method comprises the following steps: S1, real-time acquisition of the face feature data of the power dispatching control center dispatcher; S2, calculating the fatigue index F according to the acquired face feature data, and generating the fatigue level according to the fatigue index F; S3, when , it is a normal state, the environmental temperature is set to 24-26℃, and the seat intervention module and the reminding module are not intervened; When , it is mild fatigue, the environmental temperature is set to 26-28℃, the waist area vibration motor of the seat intervention module is pulsed vibration at a first frequency for n seconds; the reminding module sends a mild fatigue state reminder; When , it is moderate fatigue, the environmental temperature is set to 23-24℃, and the fresh air volume is increased; the back and hip vibration motors of the seat intervention module are alternately vibrated for m seconds; the reminding module sends a moderate fatigue state reminder; When , it is severe fatigue, the environmental temperature is set to 23-24℃, and the fresh air volume is increased; the seat intervention module full-area vibration motor is synchronous strong vibration for w seconds, and the reminding module sends a severe fatigue state reminder.

[0038] Embodiment 3: The fatigue monitoring system of the power dispatching control center dispatcher mainly comprises a front-end perception layer, an intelligent processing layer and an execution intervention layer, realizes data intercommunication and function linkage through Internet of Things technology, and the implementation mode will be described in detail in combination with specific modules: 1. Facial fatigue monitoring module Hardware deployment: Install a high-definition infrared camera with a resolution of ≥1920×1080 pixels and a frame rate of ≥ 100 cm above and directly in front of the dispatch desk, 80-100 cm away from the person's face, covering the dispatcher's face and upper body area.

[0039] Algorithm implementation: Deep learning models, such as ResNet combined with LSTM, are used to process real-time video streams. The blinking frequency is calculated by the change in eye opening and closing degree. The duration of gaze deviation is calculated based on the time it takes to identify the pupil offset area on the screen using the eye positioning algorithm. Micro-expression features, such as yawning and dull eyes, are determined by the changes in the coordinates of key facial points.

[0040] Fatigue index calculation: preset weight coefficient (blink frequency), (eyes averted), (eye movement rate), (micro-expressions), through the formula Real-time calculation of fatigue index ( 、 Parameters were normalized to the range of 0-100).

[0041] Warning output: Fatigue index is updated every 5 seconds. (mild), (moderate), (Severe) Generate a level 3 warning signal and transmit it to the intelligent processing layer.

[0042] 2. Environmental adjustment module (1) Central air conditioning dynamic temperature control unit Hardware modification: Install an Internet of Things controller at the air-conditioning system control terminal in the dispatching hall, access the signal from the intelligent processing layer, and support real-time adjustment of temperature accuracy of ±0.5℃ and fresh air volume accuracy of ±5%.

[0043] Adjustment logic: Normal state ( ): The temperature is set at 24-26℃, with a random fluctuation of ±1℃ to avoid drowsiness caused by constant temperature; Mild fatigue ( ): Raise the temperature to 26-28℃ and close some air-conditioning vents to avoid discomfort caused by direct cold air; Moderate / severe fatigue ( ): Immediately switch to "Fresh Air Mode", increase the fresh air volume by 20%, introduce fresh air from the outside, keep the temperature constant at 24℃, and keep you awake and not irritable.

[0044] (2) Intelligent lighting unit Hardware deployment: Color-temperature-adjustable LED lamps are installed on the ceiling of the dispatching hall and above each dispatching desk. The color temperature adjustment range is 2700K-6500K, the brightness adjustment range is 100-500lux, and independent control of each partition is supported.

[0045] Scene adaptation: Daytime, 6:00-18:00: color temperature 5500K, simulated natural light, brightness 400lux; Night, 18:00-6:00: color temperature 4000K, warm white light, brightness 300lux.

[0046] Early warning linkage: When fatigue is moderate, the corresponding dispatch desk lamp flashes 3 times, and the color temperature switches from 4000K to 5500K, lasting 2 seconds per time; when fatigue is severe, the corresponding dispatch desk lamp flashes red, 1 time per second, for 10 seconds.

[0047] 3. Seat intervention module Hardware Modification: Low-frequency vibration motors (six units) are embedded in the lumbar support, back, and buttocks areas of the seat. The vibration frequency range is 1-5Hz, and the intensity is adjustable from 0-5N. A pressure sensor matrix with a resolution of 10×10 is also installed within the seat cushion to monitor the pressure distribution during prolonged sitting in real time.

[0048] Intervention logic: Mild fatigue ( ): The vibration motor in the lumbar area vibrates in a pulsed manner at a frequency of 2Hz and an intensity of 2N for 10 seconds; Moderate fatigue ( ): The back and buttocks vibration motors vibrate alternately, 3Hz for the back and 2Hz for the buttocks, with an intensity of 3N, for 20 seconds; Severe fatigue ( ): The vibration motor in the entire area vibrates synchronously with a frequency of 5Hz and an intensity of 5N, vibrating once every 5 seconds for a total of 3 times.

[0049] 4. Reminder module Graded voice reminders: Mild fatigue: Voice broadcast "You are currently highly focused. It is recommended to move around every 60 minutes~" in a gentle tone and at a volume of 60dB. Moderate fatigue: Voice broadcast: "Attention! Your concentration is decreasing. It is recommended that you drink a glass of warm water to wake up!", with a slightly urgent tone and a volume of 70dB. Severe fatigue: Voice announcement: "Danger! Please get up and move around immediately! Avoid carrying out dispatch operations!", high-decibel alarm tone plus voice, volume 85dB, and at the same time send a text message to the dispatcher's mobile phone, content: "The dispatcher at the XX workstation is experiencing severe fatigue."

[0050] 5. Data review and reminder module Data collection: Real-time storage of fatigue index, warning time, intervention measures, operation logs and other data, with a storage period of ≥ 1 year.

[0051] High-frequency period identification: Through the algorithm statistics of historical data, the probability of fatigue events occurring during a certain period, such as 2-4 am, is determined. It is determined to be a high-frequency fatigue period, and 10 minutes before the same period the next day, a reminder is sent to the dispatch personnel on duty in the dispatch hall via text message: "This is a high-incidence fatigue period, it is recommended to get up and move around for 3 minutes every 30 minutes."

[0052] Example 4: Taking the "severe fatigue scenario" as an example, the linkage logic of each module is as follows: 1. The facial fatigue monitoring module detects F = 92, determines severe fatigue, and sends a warning signal to the intelligent processing layer.

[0053] 2. Intelligent processing layer triggering: Execution intervention layer: strong vibration of the entire seat area, central air conditioning switched to fresh air mode and constant temperature of 24℃, corresponding dispatch desk lights flashing red, high-decibel voice alarm, and the system sends SMS alarm to the dispatcher terminal.

[0054] 3. The dispatcher stands up and moves around, executing the intervention pause. After the face monitoring module recognizes that the dispatcher's status has recovered, the system returns to normal monitoring status. Through the above specific implementation methods, the present invention realizes "precise monitoring - graded intervention - process linkage" of the fatigue status of dispatchers, and provides a feasible human-machine collaborative safety solution for power production safety.

[0055] Although the specific embodiments of the present invention are described above, those skilled in the art should understand that the specific embodiments described are merely illustrative and are not intended to limit the scope of the present invention. Any modifications and changes made by those skilled in the art in accordance with the spirit of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A fatigue monitoring system for dispatchers in a power dispatch control center, characterized in that: include: A facial fatigue monitoring module, which is used to collect facial feature data of dispatchers in real time and generate fatigue levels based on the facial feature data; An environment adjustment module, configured to adjust the environment state according to the fatigue level generated by the face fatigue monitoring module to mechanically stimulate the dispatcher; a seat intervention module, the seat intervention module being configured to control a seat state according to a fatigue level generated by a face fatigue monitoring module; The reminder module is used to push graded reminders according to the fatigue level generated by the face fatigue monitoring module.

2. The power dispatching control center dispatcher fatigue monitoring system according to claim 1 is characterized by: The facial fatigue monitoring module uses high-definition cameras and visual algorithms to collect real-time facial feature data of dispatchers. The facial feature data includes blinking frequency, eyelid status, eye rotation rate and micro-expression changes. The fatigue levels include mild, moderate and severe.

3. The power dispatching control center dispatcher fatigue monitoring system according to claim 2 is characterized by: The early warning logic of the face fatigue monitoring module is: Mild fatigue: ; Moderate fatigue: ; Severe fatigue: ; Combined with the fatigue level determination formula, identify mild, moderate and severe fatigue levels; The fatigue level determination formula is: ； Where: is the fatigue index; is the blink frequency per unit time; The length of time the eyes are away from the screen; is the eye movement rate; is the micro-expression fatigue characteristic value; 、 、 、 is the weight coefficient of each feature.

4. The power dispatching control center dispatcher fatigue monitoring system according to claim 1 is characterized by: The environmental adjustment module includes an air-conditioning dynamic temperature control unit and an intelligent lighting unit. The air-conditioning dynamic temperature control unit automatically adjusts the temperature and fresh air volume according to the fatigue level. The intelligent lighting unit includes adjustable color temperature lamps installed on the ceiling of the dispatching hall and above each dispatching desk, supporting independent control of partitions. The intelligent lighting unit switches the color temperature, brightness and flashing mode according to the day and night scenes and fatigue level.

5. The power dispatching control center dispatcher fatigue monitoring system according to claim 4 is characterized by: The adjustment logic of the air-conditioning dynamic temperature control unit is: Normal state, ,temperature ; Mild fatigue, ,temperature ; moderate / severe fatigue, , fresh air volume , the temperature was maintained at a constant 24°C. In the above formula: is the fatigue index, is the benchmark fresh air volume; When fatigue is moderate, the lights on the corresponding dispatching desk will flash multiple times and the color temperature will be adjusted; When you are severely tired, the corresponding desk lamp will flash red.

6. The power dispatching control center dispatcher fatigue monitoring system according to claim 1 is characterized by: The seat intervention module integrates a multi-zone low-frequency vibration motor and a pressure sensor. The seat status triggers vibrations of different intensities on the lumbar support, back, and buttocks according to the fatigue level, and generates a reminder to stand up based on the pressure distribution of sitting for a long time.

7. The power dispatching control center dispatcher fatigue monitoring system according to claim 6, characterized in that: The vibration intensity formula of the seat intervention module is: Vibration intensity ; Where: is the strength coefficient, mild fatigue , moderate fatigue , severe fatigue ; Among them, mild fatigue corresponds to the waist support area Pulse vibration, lasting n seconds, moderate fatigue corresponding to the back and buttocks Alternating vibration, lasting m seconds, severe fatigue corresponds to the entire area Strong vibration.

8. The power dispatching control center dispatcher fatigue monitoring system according to claim 1 is characterized by: The reminder module pushes graded voice reminders to dispatchers according to fatigue levels. When they are severely fatigued, the red light on the dispatch desk flashes and SMS reminders are sent to the management terminal.

9. The power dispatching control center dispatcher fatigue monitoring system according to claim 1, characterized in that: It also includes a data review and reminder module, which is used to store the fatigue levels and corresponding times generated by the face fatigue monitoring module, calculate the fatigue distribution of all employees and high-frequency fatigue periods, and generate activity reminders for fatigue-prone periods based on the data; The statistical formula for the high-frequency fatigue period is: ； Where P(t) is the probability of fatigue occurrence in time period t; N is the total amount of historical fatigue data; is the Dirac function, when Take 1 when it is, otherwise take 0; is the time when the i-th fatigue event occurs; when When the activity is high, it is determined to be a high-frequency fatigue period, triggering an activity reminder.

10. A monitoring method for a dispatcher fatigue monitoring system in a power dispatch control center according to any one of claims 1 to 9, characterized in that: Used to monitor the fatigue status of dispatchers in a power dispatch control center, the monitoring method includes the following steps: S1. Real-time collection of facial feature data of dispatchers in the power dispatch control center; S2. Calculate a fatigue index F based on the collected facial feature data, and generate a fatigue level based on the fatigue index F; S3, when When the system is in normal state, the ambient temperature is set at 24-26°C, and the seat intervention module and reminder module have no intervention; when When the driver is in a state of mild fatigue and the ambient temperature is set at 26-28°C, the vibration motor in the lumbar area of ​​the seat intervention module vibrates in a pulsed manner at the first frequency for n seconds; the reminder module issues a mild fatigue status reminder; when When the driver is in a moderate fatigue state, the ambient temperature is set to 23-24℃ and the fresh air volume is increased; the back and buttocks vibration motors of the seat intervention module vibrate alternately for m seconds; the reminder module issues a moderate fatigue state reminder; when When the driver is in severe fatigue state, the ambient temperature is set to 23-24℃ and the fresh air volume is increased; the seat intervention module's vibration motors in the entire area vibrate synchronously for w seconds, and the reminder module issues a severe fatigue state reminder.

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