CN117932540A

CN117932540A - Station house fusion terminal based on edge computing technology

Info

Publication number: CN117932540A
Application number: CN202410103924.8A
Authority: CN
Inventors: 江涛; 徐承森; 李中; 孙明柱; 侯川; 赵海洋; 杨孝刚
Original assignee: Anhui Dongzhe Power Technology Co ltd
Current assignee: Anhui Dongzhe Power Technology Co ltd
Priority date: 2024-01-25
Filing date: 2024-01-25
Publication date: 2024-04-26

Abstract

The invention provides a station-room fusion terminal based on an edge computing technology, which comprises the following components; the entrance guard system is used for controlling and managing entrance of doors and safety systems of electrical cabinet switches, the monitoring systems monitor the environments in a station room and the electrical switch cabinets through a plurality of groups of sensors, the linkage system utilizes the sensors to control the environment equipment in the station room in a linkage mode to realize the self-regulation of the environment in the station room, the video monitoring is realized, the video technology is utilized to detect and monitor the fortification area and display and record on-site images in real time, the platform realizes the detection and equipment control of each data of the station room, the running failure of the distribution equipment caused by the runaway of the running environment is avoided, the safety of maintenance personnel is ensured, the service life of the equipment is prolonged, the rough high-volume management cost of the distribution room is controlled, and the remote centralized management of the comprehensive monitoring of the distribution room is realized.

Description

Station house fusion terminal based on edge computing technology

Technical Field

The invention provides a station and house fusion terminal based on an edge computing technology, and belongs to the technical field of electrical equipment.

Background

In the power industry, the distribution facilities are large in scale and high in equipment density, and have the characteristics of dispersion, complex geographical environment, approaching to a user side and the like, and are easily influenced by theft, malicious damage, sundry accumulation, building construction and the like. Therefore, a comprehensive monitoring system of the distribution network is built to monitor the running condition of the distribution facilities at any time, and the comprehensive monitoring system has great significance for improving the running maintenance capability of the distribution network and ensuring the normal running of equipment. Conventional power distribution facility management modes have many problems such as: many devices are not networked, and can only be monitored and controlled locally, so that accident potential cannot be found in time by means of manual inspection, the number of distribution facilities is large, distribution is more decentralized, management difficulty is high, operation and maintenance pressure is large, networked systems independently operate, and a monitoring 'island' phenomenon is formed, so that unified management cannot be achieved.

Therefore, the station-room fusion terminal system based on the edge computing technology is constructed, the running state of the power system can be monitored in real time through the wireless monitoring technology, and various key data including current, voltage, temperature and the like are collected through the sensor and the equipment. This helps to discover potential problems in time and take measures to prevent fault remote monitoring and operation: through the wireless monitoring system, operation staff can monitor the running condition of the power system remotely and perform remote operation. The flexibility enables people to respond and process problems of various power systems more efficiently and monitor the running condition of power distribution facilities at any time, and has great significance for improving the running maintenance capability of the power distribution network and keeping equipment to run normally.

Disclosure of Invention

The invention provides a station-room fusion terminal based on an edge computing technology, which comprises the following components;

an access control system for controlling and managing the access of doors and a safety system for opening and closing electrical cabinets,

The monitoring system monitors the environment in the station house and the electrical switch cabinet through a plurality of groups of sensors,

The linkage system realizes the self-regulation of the environmental in the station room by utilizing the sensor linkage control of the environmental equipment in the station room,

And (3) video monitoring, namely detecting and monitoring a fortification area by utilizing a video technology, and displaying and recording field images in real time.

Specifically: when a person needs to enter a station house, the identity authentication information is acquired through legal means (an access control card, biological recognition and the like), the access control system sends the identity authentication information to an edge computing terminal for verification, and the edge computing terminal judges whether the person is allowed to enter according to the locally stored authorization information. If the door is authorized to pass, the door is opened by the door control system, various environmental parameters in the station room, such as temperature, humidity, gas concentration, current and voltage, are monitored in real time by the door control system, data collected by the sensors are processed locally and sent to the edge computing terminal for real-time analysis, the edge computing terminal can conduct data analysis according to a preset threshold, when abnormality is monitored or the abnormality exceeds a preset range, corresponding early warning or automatic control operation is triggered, environmental parameter data collected by the sensors are used for intelligent linkage control of environmental equipment in the station room, sensor data are analyzed in real time by the edge computing terminal, linkage equipment is adjusted according to set rules and algorithms, such as adjusting an air conditioner, controlling a dehumidifier, starting a fan and the like, so that the comfort and safety of the environment are maintained, the real-time video stream of an arming area is captured by the camera, the real-time video processing is conducted by the edge computing terminal, the functions of image recognition, motion detection and the like can be included, abnormal activity or accident is monitored, and the edge computing terminal can trigger a preset alarm mechanism and meanwhile relevant information is uploaded to the central server.

Further, the entrance guard system monitors infrared radiation around the station room by arranging an infrared sensor, detects movement of objects, monitors microwave signals around the station room by combining the microwave sensor, increases detection accuracy of dynamic objects, and combines infrared and microwave to form a double-checking system.

Specifically, infrared and microwave double-check sensing is adopted for small animals such as idle persons and the like of illegal intrusion station houses, in-situ audible and visual alarms are sent out, alarm information is uploaded to the background, and the power distribution houses accurately, clearly, quickly and intuitively transmit various door and cabinet door and other states and access switch information to a monitoring center through an access control system, so that the states of the doors and personnel access switch conditions can be mastered in real time, remote door opening and closing are realized, and history is supported.

Further, the monitoring system comprises on-line monitoring and environment quantity monitoring, wherein the on-line monitoring comprises the step of adopting a wireless CT temperature measuring module to monitor temperature information of key positions of the switch cabinet in real time, the step of monitoring the internal insulation condition of the switch cabinet in real time by a transient-state ground electric wave/ultrasonic partial discharge two-in-one sensor, and the environment quantity monitoring is used for realizing the real-time monitoring of environment quantities such as station room temperature and humidity, sulfur hexafluoride, ozone, water immersion, oxygen concentration and the like by a front-end sensing layer sensor.

Specifically: the wireless CT temperature acquisition module adopts a spatial ultrahigh frequency sensor, has a leading electromagnetic wave spatial fault early warning technology, has a detection frequency range of 300 MHz-2000 MHz, has strong anti-interference capability, does not report by mistake, integrates and analyzes in-situ data, and sends the result to the background for visual PRPD and PRPS image display.

Further, the on-line monitoring is also provided with a circuit breaker mechanical characteristic on-line monitoring system for on-line monitoring of the mechanical action performance of the circuit breaker in the switch cabinet.

Specifically, the mechanical property on-line monitoring system of the circuit breaker can timely know the mechanical property of the circuit breaker on the premise of not damaging the original structure, can timely maintain the circuit breaker when abnormality occurs, reduces unexpected loss caused by the fault of the circuit breaker, and provides a basis for the state maintenance of the switch cabinet.

Further, the front-end sensing layer sensor comprises a temperature sensor, a liquid level sensor, an ozone sensor, an SF6 gas monitoring sensor and a water immersion sensor.

Specifically: the front-end sensing layer sensor is a sensor layer which is positioned at the front end of the system and is used for sensing and collecting environmental information. The sensors at this level are responsible for monitoring physical, chemical or other relevant parameters in real time and transmitting these data into the system for further processing, analysis and decision making. In different application scenarios, the front-end sensing layer sensor may comprise various types of sensors for monitoring different environmental conditions and physical quantities

Further, the environmental equipment comprises an air conditioner linkage unit, a switch cabinet dehumidifier, a water pump controller, a fan controller and a lamp control system.

Specifically, the system automatically adjusts the running state of the equipment according to the requirement by monitoring the environmental condition in real time, so that unnecessary energy consumption is avoided, the automatic adjusting system can avoid excessive running of the equipment, the service life of the equipment is prolonged, the maintenance and replacement frequency of the equipment is reduced, so that the maintenance cost is saved, the resource waste is reduced, the real-time analysis of sensor data is helpful to find potential problems by monitoring parameters such as temperature and humidity, illumination and the like in a station room in real time, and the system can perform preventive maintenance in advance. The risk of sudden faults is reduced, down time caused by equipment faults is reduced, equipment such as an air conditioner and illumination can be adjusted by an automatic adjusting system according to changes of environmental conditions, working environments which are more in line with personnel and equipment demands are provided, comfort of staff and stable operation of the equipment are enhanced, especially for electric equipment, humidity is monitored and adjusted through equipment such as a dehumidifier and a switch cabinet dehumidifier, electric equipment faults and accidents under the humid conditions are prevented, safety of the equipment is improved, the whole station room environmental equipment is integrated into an intelligent system through a linkage system, the intelligent system can work cooperatively and make independent decisions, intelligence of the whole system is improved, sensor data are monitored in real time, the linkage control system can respond to the changes in time, and timely feedback is provided for operators, so that the state and the environmental conditions of the equipment can be better known.

Further, the monitoring system is also provided with a supervision algorithm, the supervision algorithm calculates the risk level through the statistic sensor data, the supervision algorithm executes different response schemes through the magnitude of the risk level, and the risk level is calculated through the following modes

I=H*Q1+S*Q2+O*Q3 ，

Wherein H is an environment identification value, S is an SF6 gas identification value, O is an ozone concentration identification value, Q1, Q2 and Q3 are weight values of H, S and O respectively, and Q1 is smaller than Q2 and Q3.

Specifically, the environment identification value (H), the SF6 gas identification value (S), the ozone concentration identification value (O), and the weight values (Q1, Q2, Q3) are introduced through the risk level calculation formula i=hq1+sq2+o×q3. The calculation mode enables the system to comprehensively consider a plurality of factors, the dangerous degree of the station building can be estimated more comprehensively, by setting the weight value, Q1 is relatively smaller, Q2 and Q3 are relatively larger, and the system is more focused on the influence of the change of the concentration of SF6 gas and the concentration of ozone on the dangerous degree. The comprehensive analysis of the environment identification value, the SF6 gas identification value and the ozone concentration identification value is beneficial to improving the attention degree of key factors, judging the potential risk more accurately, and enabling the system to be more comprehensive when considering factors such as temperature, gas concentration and ozone. The system improves the sensing and judging capability of the system on different environmental influences, and can adopt different response strategies according to different risk levels through calculation of the risk levels. For example, when the risk level is low, the system may perform regular monitoring and maintenance; when the danger level is higher, the system can execute emergency measures, such as autonomous control or emergency stop operation, and has certain flexibility due to the adjustability of the weight value and the danger level calculation mode, can be adjusted according to specific requirements and scenes, is better suitable for different working environments, and comprehensively considers environmental factors, SF6 gas concentration and ozone concentration, so that the system more comprehensively evaluates the danger of a station room, and the decision is more scientific and accurate.

Further, H, S and O are obtained by real-time sampling and calculating the sensor values,

H=(/h-hb/-hmin)/hmax-hmin,

S=(/s-sb/-smin)/smax-smin，

O=(/o-ob/-omin)/omax-omin,

Where h, s and o are environmental quantities, SF6 gas concentration and ozone gas concentration measured by the sensor in real time, hmin and hmax are minimum and maximum values of the environmental quantities, smin and smax are minimum and maximum values of the SF6 gas concentration, omin and omax are minimum and maximum values of the ozone gas concentration, hb, sb and ob are alarm threshold values of the environmental quantities, SF6 gas alarm threshold values and ozone gas concentration alarm threshold values, respectively.

Further, the environmental quantity includes, but is not limited to, a plurality of statistics of temperature, humidity, gas flow rate, electrical noise, electromagnetic radiation, the environmental quantity being obtained by summing the plurality of statistics.

Specifically, H= (/ H1-H1b/-H1 min)/H1 max-H1 min) +((/ H2-H2b/-H2 min)/H2 max-H2 min) … … + ((/ hn-hnb/-hnmin)/hnmax-hnmin) is calculated, where H1, H2 … … hn is a plurality of statistics of temperature, humidity, gas flow rate, electrical noise, electromagnetic radiation, and the like.

Furthermore, the supervision algorithm is provided with dangerous thresholds X and Y, wherein X is smaller than Y, no response is provided for error reporting when I is smaller than X, autonomous control is performed through the linkage system according to the abnormal constant value when X is smaller than I and Y, and when I is larger than Y, error reporting is performed and manual intervention is applied for by equipment at the same time of emergency stop operation.

The technical scheme has the effects that: the intelligent station-room integration terminal realizes data collection of front-end sensing equipment such as various sensors and on-line monitoring in a station, interacts with a station-side power distribution automation communication unit in a telemetry, remote signaling and remote control mode after analysis and processing, collects monitoring data of the station-room and auxiliary control data through the communication unit, and then uniformly utilizes the existing communication channel to access an auxiliary control unified platform, and the system can monitor the indoor and outdoor environments of the station, the running state of electrical equipment and the like in real time through various sensors. Once abnormality is found, early warning can be sent out timely, operation and maintenance personnel can respond quickly, and remote management and monitoring of station room equipment can be achieved by the operation and maintenance personnel through the intelligent terminal. Therefore, the dependence on the site can be reduced, the operation and maintenance efficiency is improved, and the system realizes the linkage of various devices through an intelligent algorithm, such as adjusting an air conditioner, controlling a dehumidifier, starting a fan and the like according to temperature change. The system is favorable for optimizing energy consumption and improving equipment utilization efficiency, an access control system, a video monitoring system and the like can effectively improve the safety of a station room, illegal invasion and potential safety hazards are avoided, when the system monitors that equipment is abnormal, preliminary fault diagnosis and treatment can be carried out through remote control, dependence on field personnel is reduced, and data analysis and decision support are carried out: the data collected by all sensors can be analyzed, data support is provided for operation and maintenance personnel, more intelligent decision making is facilitated, long-term performance optimization is facilitated, faults can be prevented better through remote monitoring and intelligent management, maintenance cost and downtime are reduced, the running state of equipment can be controlled better through intelligent management, the service life of the equipment is prolonged, the reliability of the equipment is improved, and the intelligent station room terminal system is expected to improve the overall operation efficiency and the cost of a station room and provide safer and intelligent operation and maintenance management experience. However, the specific effects may be affected by various factors such as implementation details, equipment quality, and the level of the operation and maintenance team.

Detailed Description

The following description of the preferred embodiments of the present invention is provided for the purpose of illustration and explanation only and is not intended to limit the present invention.

One embodiment of the invention relates to a station house fusion terminal based on edge computing technology, which comprises;

The system can quickly respond to any abnormal condition by monitoring the indoor and outdoor environments of the station in real time through a plurality of groups of sensors. This helps to increase sensitivity to potential problems, enabling the system to act quickly, and the intelligent algorithm of the linkage system adjusts in-station environmental equipment, such as air conditioning, dehumidifiers, etc., based on the sensor data to maintain a suitable working environment. The system not only improves the comfort of staff, but also is beneficial to the stable operation of equipment, the access control system ensures that only authorized personnel can enter the station room through identity authentication, the physical safety of the station room is enhanced, and the video monitoring system can timely discover abnormal activities and trigger an alarm mechanism. The system is beneficial to preventing potential security threat and timely handling accidents, the local processing of the edge computing terminal reduces the dependence on the central server, improves the instantaneity of the system, reduces the requirement on network bandwidth, and realizes remote supervision and recording of the station room state by uploading abnormal information to the central server. The system is favorable for tracking and analyzing the long-term performance of the station building, the entrance guard system, the environment monitoring system, the linkage system and the video monitoring system form a multi-layer safety mechanism together, the overall safety of the station building is improved, potential problems can be found in time through real-time monitoring and automatic control, the faults and the downtime of equipment are reduced, and accordingly the maintenance cost is reduced

The dual-verification system reduces the possibility of false alarm and missing alarm and improves the accuracy of illegal intrusion detection by using the infrared sensor and the microwave sensor in combination. The response mechanism of the alarm system comprises on-site audible and visual alarm and information uploading to the background, can rapidly warn and take corresponding measures, and multiple groups of sensors monitor various environmental parameters in a station room in real time, such as temperature, humidity, gas concentration and the like, and perform real-time analysis through an edge computing terminal. The system can quickly detect environment abnormality, is beneficial to preventing potential problems and improving the safety of equipment, and can adjust equipment such as air conditioners and illumination according to the change of environmental conditions by intelligently linking and controlling the environmental equipment in a station room, so as to provide working environments which are more in line with the demands of personnel and equipment. The system is favorable for improving the comfort of staff and the stable operation of equipment, and the access control system transmits the status information of doors, cabinet doors and the like to the monitoring center in real time through the access control management system, so that the remote monitoring of the station room safety status is realized. Operators can know the state of equipment and the environment condition at any time, and the video monitoring technology is utilized to detect and monitor the fortification area in real time, so that the detection capability of abnormal activities or accidents is further improved. The functions of the video monitoring system, such as image recognition and motion detection, are helpful for understanding the field condition more comprehensively, and the system can work cooperatively and make autonomous decisions through an intelligent linkage system, so that the dependence on manual intervention is reduced. The intelligent regulation system can perform preventive maintenance in advance, and reduce the risk of sudden faults

Through on-line monitoring, environment quantity monitoring and the cooperative work of various sensors, the system can comprehensively monitor the environment and the state of electrical equipment in a station room. The real-time monitoring capability enables the system to rapidly respond to various changes and abnormal conditions, is beneficial to timely processing the problems, reduces the loss caused by faults, and enables the environmental equipment in the station room to realize self-adjustment by introducing the linkage system, and to autonomously decide according to sensor data. For example, air conditioning, controlling dehumidifiers, activating fans, etc., to maintain comfort and safety of the environment. The intelligent detection system not only improves the operation efficiency of equipment, but also is beneficial to saving energy and reducing operation cost, and the access control system senses idle people and other small animals of illegal intrusion station houses through a double checking system of an infrared sensor and a microwave sensor, so that intrusion detection with higher precision is realized. Alarm information can be uploaded to the background in time, the safety of a station room is ensured, and the system can monitor the temperature and the insulation condition of a key position in real time under the condition that the equipment structure is not damaged by a wireless CT temperature acquisition module and a transient ground electric wave/ultrasonic wave partial discharge two-in-one sensor. This helps to find potential problems in time and to conduct preventive maintenance in advance.

The on-line monitoring system knows the mechanical action performance of the circuit breaker in real time, provides timely alarm and notification, is favorable for reducing the loss caused by mechanical performance faults, improves the reliability of electrical equipment, does not need to change or disassemble the circuit breaker on a large scale on the premise of not damaging the original structure, reduces the maintenance difficulty and cost, provides basis for maintenance by the data recording and analyzing functions of the monitoring system, enables maintenance personnel to analyze according to historical data, makes a more scientific and reasonable maintenance plan, timely knows the mechanical performance of the circuit breaker, can take preventive measures before potential faults occur, and reduces equipment damage and shutdown risks caused by the mechanical performance faults.

Specifically: the front-end sensing layer sensor is a sensor layer which is positioned at the front end of the system and is used for sensing and collecting environmental information. The sensors at this level are responsible for monitoring physical, chemical or other relevant parameters in real time and transmitting these data into the system for further processing, analysis and decision making. In different application scenarios, the front-end sensing layer sensor may comprise various types of sensors for monitoring different environmental conditions and physical quantities.

The sensors acquire data in real time, and transmit environmental information to the system, so that multi-dimensional data support is provided for the monitoring system. The multi-level sensing and monitoring system is helpful for the system to comprehensively understand the conditions inside the station room, and improves the sensing sensitivity to the environment and the equipment state. Therefore, the front-end sensing layer sensor plays a key role in the whole scheme, and provides a solid foundation for intelligent, safe and efficient station house management.

I=H*Q1+S*Q2+O*Q3 ，

In particular, the method comprises the steps of,

H=(/h-hb/-hmin)/hmax-hmin,

S=(/s-sb/-smin)/smax-smin，

O=(/o-ob/-omin)/omax-omin,

The above scheme has the effect that through a supervision algorithm, the system can calculate the dangerous grade (I) according to the sensor data, wherein different weights of the environment quantity (H), the SF6 gas concentration (S) and the ozone concentration (O) are considered. This facilitates the system to comprehensively evaluate the security status of the station building, which is accumulated by statistics of a plurality of environmental quantities, such as temperature, humidity, gas flow rate, electrical noise, electromagnetic radiation, etc., to obtain more comprehensive environmental information. The system improves the perception capability of the system on the whole condition of the station house, and by adjusting the weight values of Q1, Q2 and Q3, the system can dynamically change the calculation mode of the dangerous grade according to actual demands, so that the system is more suitable for different scenes and requirements, and the dangerous grade thresholds X and Y are introduced to define different dangerous grade ranges according to calculation results. When the danger level is between X and Y, the system performs autonomous control through a linkage system; when the dangerous level exceeds Y, the system executes emergency stop operation, meanwhile, equipment reports errors and applies for manual intervention, and the system can dynamically calculate H, S and O values through real-time sampling of the environmental quantity, SF6 gas concentration and ozone gas concentration. This is compared with preset alarm thresholds (hb, sb, ob) to determine if an abnormal condition exists, and depending on the specific value of the risk level, the system can perform corresponding repair or remedial action. For example, in case of too high temperature, adding a temperature control system and turning on an air conditioning system; and when the humidity is too high, starting the dehumidifying equipment. When the concentration of SF6 gas or ozone gas is too high, the system records the concentration and prompts a safety officer to patrol, and the system designs adjustable weight and threshold value, so that the system can flexibly cope with different environmental conditions and has certain self-adaptability.

Specifically, parameters and thresholds are defined:

Q1=0.1, q2=10, q3=15. Risk level threshold x=5, y=10.

The temperature range is 20-30, and the humidity range is 40-60.

SF6 gas concentration ranges from 0 to 5 and ozone concentration ranges from 0 to 50.

Sensor sampling (dummy data)

Setting virtual data: h=25 (temperature), hb=28 (temperature alarm threshold), hmin=20, hmax=30.

S=3 (SF 6 gas concentration), sb=4 (SF 6 alarm threshold), smin=0, smax=5.

O=30 (ozone concentration), ob=40 (ozone warning threshold), omin=0.omax=50.

Calculation of temperature H:

H=h hol hmin

Hmax-hmin substitutes virtual data into

H= (∣25−28∣−20)/(30−20) =0.3

Calculation of SF6 gas concentration S:

S= (∣3−4∣−0)/(5−0) =0.2

ozone concentration O calculation:

O= (∣30−40∣−0)/(50−0) =0.2

calculating a risk level I:

I =H ×Q1＋s xQ2＋O xQ3

Substituting the calculated specific values into the values

I =0.3×0.1＋0.2×10＋0.2×15

Ⅰ = 0.03＋2＋3=5.03

Judging according to the numerical value of the risk level:

And X < l < Y, executing repair or remedial measures, if the temperature is too high, increasing the temperature control system to start the air conditioning system to reduce the temperature, if the humidity is too high, starting the dehumidifying equipment, and if the SF6 gas concentration or the ozone gas concentration is too high, recording the result on a table to prompt a security officer to carry out inspection.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims

1. A station building fusion terminal based on an edge computing technology, which is characterized by comprising;

2. The station and house integrated terminal based on the edge computing technology according to claim 1, wherein the entrance guard system monitors infrared radiation around the station and house by disposing an infrared sensor, detects movement of objects, monitors microwave signals around the station and house by combining a microwave sensor, increases detection precision of dynamic objects, and combines infrared and microwave to form a double verification system.

3. The station and house integrated terminal based on the edge computing technology according to claim 1, wherein the monitoring system comprises on-line monitoring and environment quantity monitoring, the on-line monitoring comprises monitoring key position temperature information of a switch cabinet in real time by adopting a wireless CT temperature acquisition and measurement module, a transient-state ground electric wave/ultrasonic wave partial discharge two-in-one sensor is used for monitoring the internal insulation condition of the switch cabinet in real time, and the environment quantity monitoring is used for realizing real-time monitoring of environment quantities such as station room temperature and humidity, sulfur hexafluoride, ozone, water immersion, oxygen concentration and the like through a front-end sensing layer sensor.

4. A station building fusion terminal based on edge computing technology according to claim 3, wherein the on-line monitoring is further provided with an on-line monitoring system for mechanical properties of the circuit breaker for on-line monitoring of mechanical action performance of the circuit breaker in the switchgear.

5. A station building fusion terminal based on edge computing technology according to claim 3, wherein the front-end sensing layer sensor comprises a temperature sensor, a liquid level sensor, an ozone sensor, an SF6 gas monitoring sensor, and a water immersion sensor.

6. The station building fusion terminal based on the edge computing technology according to claim 5, wherein the environmental equipment comprises an air conditioner linkage unit, a switch cabinet dehumidifier, a water pump controller, a fan controller and a lamp control system.

7. The station building fusion terminal based on the edge computing technology according to claim 6, wherein the monitoring system is further provided with a supervision algorithm, the supervision algorithm calculates a risk level by counting sensor data, the supervision algorithm executes different response schemes by the risk level, and the risk level is calculated by the following way

I＝H*Q1+S*Q2+O*Q3，

8. The station building fusion terminal based on the edge computing technology according to claim 7, wherein H, S and O are obtained by real-time sampling and calculating of sensor values,

H＝(/h-hb/-hmin)/hmax-hmin,

S＝(/s-sb/-smin)/smax-smin，

O＝(/o-ob/-omin)/omax-omin,

9. The edge computing technology based station building fusion terminal of claim 8, wherein the environmental quantity includes, but is not limited to, temperature, humidity, gas flow rate, electrical noise, electromagnetic radiation, and a plurality of statistics, the environmental quantity being obtained by a summation of the plurality of statistics.

10. The station and house fusion terminal based on the edge computing technology according to claim 9, wherein the supervision algorithm is provided with dangerous thresholds X and Y, X is smaller than Y, no response is given when I is smaller than X, autonomous control is performed through the linkage system according to the abnormal constant value when X is smaller than I and Y, and when I is larger than Y, emergency stop operation is performed, and meanwhile, equipment gives errors and applies for manual intervention.