Coal plant personnel health early warning method and system based on intelligent monitoring equipment

Abstract

The invention discloses a coal plant personnel health early warning method and system based on intelligent monitoring equipment, and relates to the technical field of health early warning. Health assessment data of all coal plant personnel in each target area in a target coal plant are acquired in real time through a personnel side acquisition terminal; the cloud side early warning end performs risk grade evaluation on the health of the coal plant personnel through a health risk early warning model, and the health early warning module alarms the coal plant personnel according to the estimated temporary departure duration; after health risk result data of coal plant personnel is not received within a certain time, the health early warning module adopts an active mode to carry out temporary departure early warning time calculation on the coal plant personnel, so that the situation that the data cannot be uploaded to a cloud side early warning end in real time due to environmental factors can be effectively avoided; and the cloud side early warning end cannot quickly evaluate the estimated temporary departure duration of the coal plant personnel, so that the coal plant personnel cannot leave the target area in time.

Description

Technical Field

[0001] The present invention relates to the technical field of health warning, and specifically to a method and system for health warning of coal plant personnel based on intelligent monitoring devices. Background Art

[0002] As an important energy resource in China, coal occupies a crucial position in industrial production and social development. The normal operation of coal plants depends on the hard work of numerous staff in various production links. However, there are many factors threatening the health of personnel in the coal plant working environment;

[0003] During the production process of coal plants, a large amount of dust is generated. These dusts are suspended in the air for a long time, and it is inevitable for coal plant workers to inhale them during daily operations. Long-term exposure to a high-dust environment is very likely to cause serious respiratory diseases such as pneumoconiosis, causing irreversible damage to the physical health of workers. At the same time, various mechanical equipment in the coal plant runs continuously, generating mechanical noise with high intensity and long duration. Being in such a noise environment for a long time, the hearing of workers will be seriously affected, and even hearing loss may occur;

[0004] To reduce the impact of these hazards on the health of workers, coal plants have actively taken a series of measures, such as installing advanced dust removal equipment, sound insulation facilities, and equipping workers with personal protective equipment. These devices have reduced the threat of dust and noise to personnel health to a certain extent. However, even with these measures, the remaining hazards cannot be ignored. When the hazard level reaches a certain threshold, workers still need to briefly leave the working environment area to relieve health risks;

[0005] In view of the above hazards, it is particularly necessary to conduct health warnings for coal plant personnel. Through real-time monitoring and timely warnings, workers can take preventive measures in advance to minimize the risk of health damage;

[0006] Currently, although there are already some monitoring means for the working environment, the coal plant environment is complex, and the complex environment easily causes interruptions or errors in the data transmission process, resulting in the monitoring data not being able to be timely and accurately fed back to relevant personnel, causing workers not to be able to obtain their own health status information in a timely manner, and thus unable to judge the time to leave the working environment area, resulting in the inability to effectively relieve health risks and causing damage to personnel health;

[0007] To solve the above problems, the present invention proposes a solution. Summary of the Invention

[0008] The purpose of the present invention is to provide a method and system for health warning of coal plant personnel based on intelligent monitoring devices to solve the problems raised in the above background art.

[0009] The present invention provides a method for early warning of the health of coal plant personnel based on intelligent monitoring devices, including the following steps:

[0010] Step 1: The personnel-side acquisition terminal is used to obtain in real time the health assessment data of all coal plant personnel in each target area within the target coal plant and transmit them to the health early warning module and the cloud-side early warning terminal respectively for temporary storage;

[0011] Step 2: For any coal plant personnel in any target area, the cloud-side early warning terminal inputs the health assessment data of the coal plant personnel stored during the current cloud-side early warning cycle into the health risk early warning model to obtain the health risk result data of the coal plant personnel during the cloud-side early warning cycle, and transmits the health risk result data to the health early warning module. The health risk result data includes an estimated temporary departure duration;

[0012] Step 3: After receiving the health risk result data of the coal plant personnel during the cloud-side early warning cycle transmitted, the health early warning module extracts the estimated temporary departure duration included therein and starts timing. After an interval of the estimated temporary departure duration, a temporary departure warning is given to the coal plant personnel. The warning includes sound and vibration warnings, informing the coal plant personnel to leave the target area immediately;

[0013] Step 4: During the current active early warning cycle, the health early warning module determines whether it receives the health risk result data of the coal plant personnel transmitted during the active early warning cycle. If not, the health early warning module actively gives a temporary departure warning to the coal plant personnel according to the preset active early warning steps.

[0014] A health early warning system for coal plant personnel based on intelligent monitoring devices includes:

[0015] The information-side acquisition terminal is used to collect in real time the environmental data in several target areas within the target coal plant to obtain real-time environmental acquisition data. The environmental data includes dust content and mechanical noise;

[0016] After receiving the real-time environmental acquisition data, the environmental analysis module temporarily stores the environmental acquisition data;

[0017] Every other environmental analysis cycle, the environmental analysis module analyzes all the environmental acquisition data stored during the environmental analysis cycle according to the preset analysis steps to obtain the health risk assessment values of all target areas in the standard coal plant during the environmental analysis cycle;

[0018] The personnel-side acquisition terminal is used to obtain in real time the health assessment data of all coal plant personnel in each target area within the target coal plant and transmit them to the cloud-side early warning terminal and the health early warning module respectively;

[0019] For any coal mine worker in any target area, the cloud - side warning terminal is used to temporarily store the health assessment data of the coal mine worker in real - time after receiving it;

[0020] For any coal mine worker in any target area, the cloud - side warning terminal is also used to input the health assessment data of the coal mine worker stored during the cloud - side warning cycle into the health risk warning model every other cloud - side warning cycle to obtain the health risk result data of the coal mine worker during the cloud - side warning cycle. The health risk result data includes an estimated temporary departure duration;

[0021] After receiving the health risk result data of the coal mine worker during the cloud - side warning cycle, the health warning module extracts the estimated temporary departure duration included therein and starts timing. After an interval of the estimated temporary departure duration, a temporary departure warning is given to the coal mine worker. The warning includes sound and vibration warnings, informing the coal mine worker to immediately leave the target area;

[0022] For any coal mine worker in any target area, after receiving the real - time health assessment data of the coal mine worker, the health warning module temporarily stores it. And every other active warning cycle, the health warning module determines whether it has received the health risk result data of the coal mine worker during the active warning cycle. If not, the health warning module actively gives a temporary departure warning to the coal mine worker according to the preset active warning steps.

[0023] Furthermore, the health assessment data includes heart rate, blood pressure, respiratory rate, dust content, and mechanical noise.

[0024] Furthermore, for any coal mine worker in any target area, for any active warning cycle for which a temporary departure warning is given to him / her, it meets the preset cycle conditions:

[0025] The start time of the active warning cycle is the time when the coal mine worker enters the target area, and the end time of the active warning cycle is the time when the coal mine worker leaves the target area. It should be noted here that if the coal mine worker still has not left the target area within P3 time, the interval duration of the active warning cycle is P3. P3 is the preset standard active warning interval duration. At the same time, the start time of the active warning cycle meets the preset reference conditions: Looking back P3 from the start time, the coal mine worker was not in the target area during the P3 time of the look - back;

[0026] The interval duration of the active warning cycle is greater than or equal to P4, where P4 is the preset effective warning duration threshold, and 0 < P4 ≤ P3.

[0027] Further, the active warning steps for actively warning the coal plant personnel of temporary departure are as follows:

[0028] S21: Obtain the health risk assessment value G1 of the target area stored in the health warning module;

[0029] S22: Obtain the health assessment data H1, H2,..., Hh of the coal plant personnel in the target area stored during the active warning period in the order of storage, where h≥1;

[0030] S23: Sequentially obtain the dust content included in the health assessment data H1, H2,..., Hh and calculate its average value I1 using the summation and averaging formula;

[0031] S24: Extract the mechanical noises with mechanical noise greater than or equal to P2 from the health assessment data H1, H2,..., Hh, and sequentially mark all the extracted mechanical noises as J1, J2,..., Jj in the order of the health assessment data H1, H2,..., Hh, where 1≤j≤h;

[0032] S25: Use the formula to calculate the temporary departure delay duration K1 of the coal plant personnel. In the formula, I and J are the preset fault tolerance dust content standard value and the preset mechanical noise fault tolerance standard value respectively, λ1 and λ2 are the preset first and second overrun characteristic proportion factors respectively, G is the preset health risk fault tolerance constant, and T is the preset standard temporary departure delay duration;

[0033] S26: Start timing after calculating the temporary departure delay duration K1, and give a temporary departure warning to the coal plant personnel after an interval of the temporary departure delay duration K1. The warning includes sound and vibration warnings, informing the coal plant personnel to immediately leave the target area.

[0034] Compared with the prior art, the following beneficial effects are achieved:

[0035] In the present invention, the environmental data in each target area of the target coal plant is collected by the information side acquisition terminal, the health risk assessment value of each target area is analyzed by the environmental analysis module, the health assessment data of all coal plant personnel in each target area of the target coal plant is obtained in real time by the personnel side acquisition terminal, the cloud side warning terminal uses the health risk warning model to evaluate the health risk level of the coal plant personnel to obtain the estimated temporary departure duration of the coal yard personnel, and the health warning module gives an alarm to the coal yard personnel according to the estimated temporary departure duration. In this way, it is possible to quickly and conveniently notify the coal plant personnel to temporarily leave the working environment area to relieve the health risk, and effectively reduce the risk of health damage;

[0036] After the health warning module fails to receive the health risk result data of the coal plant personnel within a certain period of time, the present invention calculates the temporary departure warning duration of the coal plant personnel in an active manner. In this way, it can effectively avoid the situation where the data cannot be immediately uploaded to the cloud-side warning end due to environmental factors, resulting in the cloud-side warning end being unable to quickly evaluate the estimated temporary departure duration of the coal plant personnel and the coal plant personnel being unable to leave the target area in time. Brief Description of the Drawings

[0037] Figure 1 is a flowchart of the method of the present invention;

[0038] Figure 2 is a block diagram of the system of the present invention. Detailed Embodiment

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0040] Please refer to Figure 1 、 Figure 2 , this application provides a method and system for health warning of coal plant personnel based on intelligent monitoring devices, including an information-side acquisition terminal, a user-side acquisition terminal, an environmental analysis module, and a health warning module;

[0041] The information-side acquisition terminal is used to collect environmental data in several target areas in the target coal plant in real time, where the target areas are selected by the management personnel of the target coal plant. In this application, the target areas are selected by the management personnel according to the production process of the target coal plant and the working activity range of the coal plant personnel;

[0042] In this application, the environmental data includes dust content and mechanical noise, and the mechanical noise here is the mechanical noise decibel value obtained;

[0043] The information-side acquisition terminal generates real-time environmental acquisition data according to the environmental data of all target areas collected in real time, and transmits the real-time environmental acquisition data to the environmental analysis module;

[0044] The environmental analysis module is used to analyze the environmental data of all target areas in the target coal plant. After receiving the real-time environmental acquisition data, the environmental analysis module temporarily stores the environmental acquisition data;

[0045] Every other environmental analysis period, the environmental analysis module analyzes all the environmental acquisition data stored during the environmental analysis period according to the preset analysis steps. The interval duration of one environmental analysis period is P1. In this application, the value of P1 is preset by the management personnel according to the working hours in the target coal plant;

[0046] The analysis steps are as follows:

[0047] S11: Mark all the environmental acquisition data stored during the environmental analysis period as A1, A2,..., Aa in the order of storage, where a≥1;

[0048] S12: Select a target area in the target coal plant as the area to be analyzed, and sequentially obtain the dust content of the area to be analyzed in the environmental acquisition data A1, A2,..., Aa, and mark them as B1, B2,..., Ba correspondingly;

[0049] S13: Use the formula D1 = C1×ɑ1 + C2×ɑ2 to calculate and obtain the benchmark index D1 of the dust content in the area to be analyzed during the environmental analysis period. In the formula, C1 is the average value of the total dust content in the area to be analyzed during the environmental analysis period, and the calculation formula of C1 is , C2 is the change index of the dust content in the area to be analyzed during the environmental analysis period, and the calculation formula of C2 is , ɑ1 and ɑ2 are the preset first and second dimension adjustment factors respectively, used to adjust C1 and C2 for calculation in the same dimension;

[0050] S14: Extract the mechanical noises with mechanical noise greater than or equal to P2 from all the mechanical noises of the area to be analyzed included in the environmental acquisition data A1, A2,..., Aa, and mark all the extracted mechanical noises as D1, D2,..., Dd in the order of the environmental acquisition data A1, A2,..., Aa, where d≥1, and P2 is the preset harmful mechanical noise decibel value;

[0051] S15: Use the formula to calculate and obtain the risk index E1 of the mechanical noise in the area to be analyzed during the environmental analysis period. In the formula, ɑ3 and ɑ4 are the preset third and fourth dimension adjustment factors;

[0052] S15: Use F1 = D1×β1 + E1×β1 to calculate and obtain the health risk assessment value F1 of the area to be analyzed during the environmental analysis period, where β1 and β2 are the preset first and second proportion coefficients respectively;

[0053] S16: Sequentially select all target areas within the target coal plant as areas to be analyzed, and calculate and obtain the health risk assessment values of all target areas within the target coal plant during the environmental analysis period according to S12 to S15;

[0054] The environmental analysis module transmits the calculated health risk assessment values of all target areas within the target coal plant during the environmental analysis period to the health warning module for updated storage;

[0055] The personnel-side acquisition terminal is used to obtain in real time the health assessment data of all coal plant personnel in each target area within the target coal plant and transmit them to the health warning module and the cloud-side warning terminal respectively. The health assessment data includes heart rate, blood pressure, respiratory rate, dust content, and mechanical noise;

[0056] The cloud-side warning terminal is used to conduct temporary departure warnings for all coal plant personnel in each target area within the target coal plant in the cloud. There is a pre-stored and trained health risk warning model in the prediction warning terminal. The health risk warning model is used to evaluate the risk level of the health of coal plant personnel in the target area;

[0057] For any coal plant personnel in any target area, the cloud-side warning terminal temporarily stores the received real-time health assessment data of the coal plant personnel;

[0058] For any coal plant personnel in any target area, the cloud-side warning terminal inputs the health assessment data of the coal plant personnel stored during the cloud-side warning cycle into the health risk warning model every other cloud-side warning cycle to obtain the health risk result data of the coal plant personnel during the cloud-side warning cycle. The health risk result data includes a risk level and an estimated temporary departure duration;

[0059] In this application, the risk levels are divided into level 1, level 2, and level 3. Among them, level 1 is the highest, indicating that the coal plant personnel are at the highest risk of harming their health within the target area. The estimated temporary departure duration indicates how long it should be expected to leave the target area corresponding to the risk level;

[0060] After obtaining the health risk result data of the coal plant personnel during the cloud-side warning cycle, the cloud-side warning terminal transmits it to the health warning module;

[0061] The health warning module is used to conduct temporary departure warnings for all coal plant personnel in each target area within the target coal plant;

[0062] After receiving the health risk result data of the coal plant personnel within the cloud - side warning cycle, the health warning module extracts the estimated temporary departure duration contained therein and starts timing. After an interval equal to the estimated temporary departure duration, a temporary departure warning is sent to the coal plant personnel. The warning includes sound and vibration warnings, informing the coal plant personnel to immediately leave the target area. In this application, all coal plant personnel are equipped with smart wearable devices for collecting health assessment data and temporary departure warnings.

[0063] For any coal plant personnel in any target area, after receiving the real - time health assessment data of the coal plant personnel, the health warning module temporarily stores it. And every time an active warning cycle elapses, the health warning module determines whether it has received the health risk result data of the coal plant personnel within the active warning cycle. If not, the health warning module conducts an active warning for the coal plant personnel according to the preset active warning steps. The active warning steps are as follows:

[0064] S21: Obtain the health risk assessment value G1 of the target area stored in the health warning module;

[0065] S22: Obtain the health assessment data H1, H2,..., Hh of the coal plant personnel in the target area stored within the active warning cycle in the order of storage, where h≥1;

[0066] S23: Sequentially obtain the dust content in the health assessment data H1, H2,..., Hh and calculate its average value I1 using the summation and averaging formula;

[0067] S24: Extract the mechanical noises greater than or equal to P2 from the health assessment data H1, H2,..., Hh, and sequentially mark all the extracted mechanical noises as J1, J2,..., Jj in the order of the health assessment data H1, H2,..., Hh, where 1≤j≤h;

[0068] S25: Use the formula to calculate the temporary departure delay duration K1 of the coal plant personnel. In the formula, I and J are the preset fault - tolerance dust content standard value and the preset mechanical noise fault - tolerance standard value respectively, λ1 and λ2 are the preset first and second over - limit characteristic proportion factors respectively, G is the preset health risk fault - tolerance constant, and T is the preset standard temporary departure delay duration;

[0069] S26: After calculating the temporary departure delay duration K1, start timing. After an interval equal to the temporary departure delay duration K1, a temporary departure warning is sent to the coal plant personnel. The warning includes sound and vibration warnings, informing the coal plant personnel to immediately leave the target area;

[0070] In this application, for any coal plant personnel in any target area, for any active warning cycle of temporary departure warning for them, it meets the preset cycle conditions:

[0071] The start time of the active warning cycle is the time when the coal plant personnel enter the target area, and the end time of the active warning cycle is the time when the coal plant personnel leave the target area. Here, it should be noted that if the coal plant personnel still do not leave the target area within the P3 time, the interval duration of the active warning cycle is P3, and the P3 is the preset standard active warning interval duration. At the same time, the start time of the active warning cycle meets the preset reference conditions: taking the start time as the starting point and tracing back P3, the coal plant personnel are not in the target area within the traced-back P3 time;

[0072] The interval duration of the active warning cycle is greater than or equal to P4, and P4 is the preset effective warning duration threshold, where 0 < P4 ≤ P3;

[0073] Some data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0074] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A coal plant personnel health early warning method based on intelligent monitoring equipment, characterized in that: The following steps are involved: Step 1: The personnel-side collection terminal is used to obtain the health assessment data of all coal plant personnel in each target area in the target coal plant in real time and transmit it to the health warning module and the cloud-side warning terminal for temporary storage; Step 2: For any coal plant personnel in any target area, the cloud-side early warning terminal inputs the health assessment data of the coal plant personnel stored in the current cloud-side early warning cycle into the health risk early warning model to obtain the health risk result data of the coal plant personnel in the cloud-side early warning cycle, and transmits the health risk result data to the health early warning module, wherein the health risk result data includes the estimated temporary absence duration; Step 3: After receiving the transmitted health risk result data of the coal plant personnel within the cloud-side warning period, the health warning module extracts the estimated temporary absence duration contained therein and starts timing. After the estimated temporary absence duration, a temporary absence warning is issued to the coal plant personnel. The warning includes sound and vibration warnings, informing the coal plant personnel to leave the target area immediately. Step 4: In the current active warning cycle, the health warning module determines whether the health risk result data of the coal plant personnel is received during the active warning cycle. If not, the health warning module actively issues a temporary leave warning to the coal plant personnel according to the preset active warning steps.

2. A coal plant personnel health early warning system based on intelligent monitoring equipment, characterized in that: include: The information side collection terminal is used to collect environmental data of several target areas in the target coal plant in real time to obtain real-time environmental collection data, including dust content and mechanical noise; After receiving the real-time environmental collection data, the environmental analysis module temporarily stores the environmental collection data; At each environmental analysis cycle, the environmental analysis module analyzes all environmental collection data stored in the environmental analysis cycle according to preset analysis steps to obtain health risk assessment values ​​for all target areas in the standard coal plant in the environmental analysis cycle; The personnel-side collection terminal is used to obtain the health assessment data of all coal plant personnel in each target area in the target coal plant in real time and transmit it to the cloud-side early warning terminal and the health early warning module respectively; For any coal plant personnel in any target area, the cloud-side early warning terminal is used to temporarily store the health assessment data of the coal plant personnel after receiving the real-time health assessment data of the coal plant personnel; For any coal plant personnel in any target area, the cloud-side early warning terminal is also used to input the health assessment data of the coal plant personnel stored in the cloud-side early warning cycle into the health risk early warning model every time a cloud-side early warning cycle is separated to obtain the health risk result data of the coal plant personnel in the cloud-side early warning cycle, and the health risk result data includes the estimated temporary absence duration; After receiving the health risk result data of the coal plant personnel in the cloud-side warning period, the health warning module extracts the estimated temporary absence duration contained therein and starts timing. After the estimated temporary absence duration, the coal plant personnel are given a temporary absence warning, which includes sound and vibration warnings, informing the coal plant personnel to leave the target area immediately. For any coal plant personnel in any target area, the health warning module temporarily stores the real-time health assessment data of the coal plant personnel after receiving it, and at each active warning cycle, the health warning module determines whether the health risk result data of the coal plant personnel is received within the active warning cycle. If not, the health warning module actively issues a temporary departure warning to the coal plant personnel according to the preset active warning steps.

3. The coal plant personnel health early warning system based on intelligent monitoring equipment according to claim 2 is characterized in that: Health assessment data includes heart rate, blood pressure, respiratory rate, dust content and mechanical noise.

4. The coal plant personnel health early warning system based on intelligent monitoring equipment according to claim 2 is characterized in that: The analysis steps for obtaining the health risk assessment values ​​of all target areas in the standard coal plant during the environmental analysis period are as follows: S11: marking all environmental collection data stored in the environmental analysis period as A1, A2, ..., Aa in sequence according to the order of storage, where a≥1; S12: Select a target area in the target coal plant as the area to be analyzed, and sequentially obtain the dust content of the area to be analyzed in the environmental collection data A1, A2, ..., Aa, and mark them as B1, B2, ..., Ba; S13: Calculate the reference index D1 of the dust content in the area to be analyzed during the environmental analysis week using the formula D1=C1×ɑ1+C2×ɑ2, where C1 is the average value of the total dust content in the area to be analyzed during the environmental analysis week. The calculation formula of C1 is: , C2 is the change index of dust content in the area to be analyzed during the environmental analysis period. The calculation formula of C2 is: , ɑ1 and ɑ2 are respectively the preset first and second dimension adjustment factors, which are used to adjust C1 and C2 to be calculated on the same dimension; S14: extracting mechanical noises greater than or equal to P2 from all mechanical noises in the area to be analyzed contained in the environmental collection data A1, A2, ..., Aa, and marking all the extracted mechanical noises as D1, D2, ..., Dd in the order of the environmental collection data A1, A2, ..., Aa, where d≥1, where P2 is a preset decibel value of harmful mechanical noise; S15: Using formula Calculate and obtain the risk index E1 of mechanical noise in the area to be analyzed during the environmental analysis period, where ɑ3 and ɑ4 are preset third and fourth dimension adjustment factors; S15: Calculate and obtain the health risk assessment value F1 of the area to be analyzed in the environmental analysis period by using F1=D1×β1+E1×β1, where β1 and β2 are respectively the preset first and second proportion coefficients; S16: Select all target areas in the target coal plant in turn as areas to be analyzed, and calculate and obtain health risk assessment values ​​of all target areas in the target coal plant in the environmental analysis period according to S12 to S15.

5. The coal plant personnel health early warning system based on intelligent monitoring equipment according to claim 4 is characterized in that: The health warning module updates and stores the health risk assessment values ​​of all target areas in the standard coal plant within the environmental analysis cycle after obtaining the health risk assessment values.

6. The coal plant personnel health early warning system based on intelligent monitoring equipment according to claim 2 is characterized in that: For any coal plant personnel in any target area, any active warning cycle of the temporary departure warning meets the preset cycle conditions: The starting time of the active warning cycle is the time when the coal plant personnel enter the target area, and the ending time of the active warning cycle is the time when the coal plant personnel leave the target area. It should be noted here that if the coal plant personnel have not left the target area within the P3 time, the interval length of the active warning cycle is P3, and P3 is the preset standard active warning interval length. At the same time, the starting time of the active warning cycle meets the preset benchmark condition: starting from the starting time and tracing back to P3, the coal plant personnel are not in the target area within the P3 time of tracing back; The interval duration of the active warning cycle is greater than or equal to P4, where P4 is the preset effective warning duration threshold, 0 <P4≤P3。 7. The coal plant personnel health early warning system based on intelligent monitoring equipment according to claim 2 is characterized in that: The steps of proactively warning the coal plant personnel to temporarily leave are as follows: S21: Obtaining the health risk assessment value G1 of the target area stored in the health warning module; S22: Acquire the health assessment data H1, H2, ..., Hh of the coal plant personnel in the target area stored in the active warning cycle in the order of storage, where h≥1; S23: Obtain dust content in health assessment data H1, H2, ..., Hh in sequence and calculate the mean value I1 using the addition and averaging formula; S24: extracting mechanical noises whose mechanical noises are greater than or equal to P2 from the health assessment data H1, H2, ..., Hh, and marking all the extracted mechanical noises as J1, J2, ..., Jj, 1≤j≤h in the order of the health assessment data H1, H2, ..., Hh; S25: Using formula Calculate and obtain the temporary leave delay time K1 of the coal plant personnel, where I and J are respectively the preset fault tolerance dust content standard value and the preset mechanical noise fault tolerance standard value, λ1 and λ2 are respectively the preset first and second over-limit characteristic proportion factors, G is the preset health risk fault tolerance constant, and T is the preset standard temporary leave delay time; S26: Start timing after calculating the temporary departure delay time K1, and issue a temporary departure warning to the coal plant personnel after the temporary departure delay time K1, the warning including sound and vibration warning, informing the coal plant personnel to leave the target area immediately.

Images