CN111857214A - Computer lab environment observes and controls system based on face identification - Google Patents
Computer lab environment observes and controls system based on face identification Download PDFInfo
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Abstract
The invention discloses a machine room environment measurement and control system based on face recognition, and relates to the technical field of machine room environment monitoring. The invention is used for controlling a machine room environment adjusting system to adjust the environment of a machine room, and comprises a face recognition module, an environmental parameter acquisition control module, a temperature and humidity adjustment control module, an air purification control module, a ventilation control module, an alarm control module and a communication module; the face recognition module carries out face recognition, if the face recognition succeeds, the machine room environment measurement and control system is authorized, and the machine room environment measurement and control system is activated; the environmental parameter acquisition control module controls the environmental parameter acquisition device to acquire actual environmental parameters; the machine room environment control system is provided with standard environment parameters and adjusts the temperature according to the actual environment parameters. The technical scheme provided by the invention realizes the improvement, optimization and monitoring of the environmental quality of similar closed spaces in machine rooms and other industries and the early warning of abnormal events such as fire, water immersion and the like, and simultaneously realizes the real-time monitoring and remote sensing of the environmental state.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of machine room environment monitoring, in particular to a machine room environment measurement and control system based on face recognition.
[ background of the invention ]
With the rapid development of national economy, the demand and the dependence of China on electric power are getting larger and larger. Meanwhile, higher requirements are also put forward on the safety and stability of the machine room. Meanwhile, in recent years, security application of a machine room is gradually emphasized by expansion and capacity expansion of a power grid, and a certain number of new construction or expansion projects of the machine room are issued by national development and reform committees every year. Meanwhile, with the popularization of the unattended mode of the machine room, a plurality of problems in supervision are brought along therewith.
Therefore, a monitoring system capable of monitoring and adjusting the machine room environment in real time is needed by the power department to reduce or overcome the adverse effect of the closed environment of the machine room on the operation of the electrical equipment, optimize and monitor the environmental quality of the closed space environment, improve the operation condition of the electrical equipment, reduce the fault probability and improve the power supply reliability.
[ summary of the invention ]
In order to solve the problems, the invention provides a machine room environment control system, which can realize the improvement, optimization and monitoring of the environment quality of machine rooms and other similar closed spaces in other industries and the early warning of abnormal events such as fire, water immersion and the like, and simultaneously realize the real-time monitoring and remote sensing of the environment state.
In order to achieve the purpose, the invention adopts the following technical scheme:
a computer room environment measurement and control system based on face recognition is used for controlling a computer room environment regulation system to regulate the environment of a computer room, the computer room environment regulation system comprises a face recognition device, an environmental parameter acquisition device, a temperature and humidity regulation device, an air purification device, an alarm device and a remote control terminal, and the computer room environment control system comprises a face recognition module, an environmental parameter acquisition control module, a temperature and humidity regulation control module, an air purification control module, an alarm control module and a communication module;
the face recognition module controls the face recognition device to recognize the face, if the face recognition is successful, the machine room environment measurement and control system is authorized, and the machine room environment measurement and control system is activated;
the environment parameter acquisition control module controls the environment parameter acquisition device to acquire actual environment parameters of the machine room;
the machine room environment control system is provided with standard environment parameters, and controls the temperature and humidity adjusting device through the temperature and humidity adjusting control module, controls the air purifying device through the air purifying control module and controls the ventilating device through the ventilating control module according to the actual environment parameters, so that the actual environment parameters of the machine room are the same as the standard environment parameters or the difference value of the actual environment parameters and the standard environment parameters is kept within a preset range.
Optionally, the service architecture of the face recognition module includes sample labeling, model training, and model application; the sample labeling comprises the use of a sample labeling tool, the labeling of a human face area detection sample and the labeling of a human face characteristic point calibration sample; the model training comprises face region detection model training, face region detection model evaluation, face characteristic point calibration model training, face characteristic point calibration model evaluation, face comparison model training and face comparison model evaluation; the model application comprises real-time video acquisition, real-time image capture, real-time face detection, real-time face characteristic point calibration, real-time face characteristic point alignment, real-time face comparison, real-time blink recognition and real-time mouth opening recognition.
Optionally, the technical architecture of the face recognition module includes an infrastructure layer, a learning framework layer, an algorithm model layer, and a computer vision technical layer; the infrastructure layer comprises a CPU, a GPU, a cloud computing and big data, and the development framework of the GPU is cuda; the learning framework layer comprises Opencv, Dlib, TensorFlow and Keras which are related to computer vision; the algorithm model layer comprises a face region detection algorithm model, a face feature point detection algorithm model, a face alignment algorithm model, a face verification algorithm model and a living body detection algorithm model; and the computer vision technology layer performs model application.
Optionally, the data architecture of the face recognition module includes a sample data layer, a training model data layer, and an application data layer; the sample data layer is input data of a model in model training and comprises a face image and label data; the training model data layer comprises face region detection model training data, face region detection model evaluation training data, face characteristic point calibration model evaluation training data, face comparison model training data and face comparison model evaluation training data; the application data layer comprises a registered face resource library and a registered face label library.
Optionally, the actual environment parameters include the actual environment temperature of the machine room, the environment parameter acquisition control module controls the environment parameter acquisition device to acquire the actual environment temperature of the machine room, the standard environment parameters include the standard environment temperature, and when the difference between the actual environment temperature of the transformer substation and the standard environment temperature is higher than a preset range, the temperature and humidity regulation control module controls the temperature of the temperature and humidity regulation device to regulate the temperature of the machine room.
Optionally, the temperature and humidity adjusting device comprises a fan, the fan is provided with a mounting rack, the temperature and humidity adjusting control module adjusts the orientation of the fan through the mounting rack, and the temperature and humidity adjusting control module adjusts the temperature of the machine room through adjusting the rotating speed and the orientation of the fan.
Optionally, the actual environment parameter includes actual environment humidity, environmental parameter acquisition control module control environmental parameter collection device gathers actual environment humidity, standard environment parameter includes standard environment humidity, and when the difference between actual environment humidity and the standard environment humidity was higher than and predetermines the scope, temperature and humidity control module control temperature and humidity control device dehumidifies the computer lab, and when the difference between actual environment humidity and the standard environment humidity was less than and predetermines the scope, temperature and humidity control module control temperature and humidity control device carries out the humidification to the computer lab.
Optionally, actual environmental parameter includes actual SF6 concentration, actual oxygen content and actual smog concentration, environmental parameter gathers control module control environmental parameter collection system gathers actual SF6 concentration, actual oxygen content and actual smog concentration, standard environmental parameter includes standard SF6 concentration, standard oxygen content and standard smog concentration, and when difference between actual SF6 concentration, actual oxygen content, actual smog concentration and standard SF6 concentration, standard oxygen content, the standard smog concentration is higher than when predetermineeing the scope, air purification control module control air purification device carries out filtration and purification to the computer lab.
Optionally, the environmental parameter acquisition control module controls the environmental parameter acquisition device to acquire the submerging water level in the machine room, the standard environmental parameter includes a warning water level and an environmental parameter alarm threshold, the submerging water level acquired by the environmental parameter acquisition device exceeds the warning water level, or the actual environmental parameter acquired by the environmental parameter acquisition device exceeds the environmental parameter alarm threshold, and the alarm control module controls the alarm device to send out corresponding alarm information.
Optionally, the remote control terminal operates and controls the machine room environment control system through a communication module, where the communication module is an ethernet communication module or a cellular network communication module; the computer room environment control system also comprises a database, wherein the database stores standard environment parameters, a warning water level, an environment parameter alarm threshold value and actual environment parameters acquired by the environment parameter acquisition device, and data in the database is output in a mode of local browsing, timed sending to the remote control terminal and remote query of the remote control terminal.
The invention has the following beneficial effects:
according to the technical scheme, an advanced face recognition technology is applied to environment monitoring of a machine room, a machine room environment control system can be activated and used only when face recognition is successful, safety of the system is guaranteed, the system can be widely applied to indoor or machine rooms with compact arrangement of power system equipment and similar closed spaces of other industries, such as various voltage levels of outdoor, indoor, control rooms, secondary equipment rooms, main transformer rooms, distribution device rooms, capacitor rooms, reactor rooms, substation transformer rooms and other similar space environments, and the system comprises new construction, reconstruction and extension projects, is wide in application range, and achieves quality improvement, optimization and monitoring of the environment and early warning of abnormal events such as fire disasters and water immersion; meanwhile, the system also realizes real-time monitoring and remote sensing of the environmental state, can effectively reduce or overcome the adverse effect of the closed environment of the machine room on the operation of the electrical equipment, optimizes and monitors the environmental quality of the closed space environment, improves the operation condition of the electrical equipment, reduces the fault probability and improves the reliability of power supply.
These features and advantages of the present invention will be disclosed in more detail in the following detailed description and the accompanying drawings. The best mode or means of the present invention will be described in detail with reference to the accompanying drawings, but the present invention is not limited thereto. In addition, the features, elements and components appearing in each of the following and in the drawings are plural and different symbols or numerals are labeled for convenience of representation, but all represent components of the same or similar construction or function.
[ description of the drawings ]
The invention will be further described with reference to the accompanying drawings in which:
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a service architecture of a face recognition module in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a technical architecture of a face recognition module according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a data architecture of a face recognition module in the embodiment of the present invention.
[ detailed description ] embodiments
The technical solutions of the embodiments of the present invention are explained and illustrated below with reference to the drawings of the embodiments of the present invention, but the following embodiments are only preferred embodiments of the present invention, and not all embodiments. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative effort belong to the protection scope of the present invention.
Reference in the specification to "one embodiment" or "an example" means that a particular feature, structure or characteristic described in connection with the embodiment itself may be included in at least one embodiment of the patent disclosure. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment.
The first embodiment is as follows:
as shown in fig. 1, the embodiment provides a machine room environment control system 1, where the substation environment control system 1 is configured to control a substation environment adjusting system 2 to adjust an environment of a substation and a cable trench of the substation, the substation environment adjusting system 2 includes a face recognition device 24, an environmental parameter acquisition device 21, a temperature and humidity adjusting device 22, an air purification device 23, an alarm device 25, and a remote control terminal 26, and the substation environment control system 1 includes a face recognition module 14, an environmental parameter acquisition control module 11, a temperature and humidity adjustment control module 12, an air purification control module 13, an alarm control module 15, and a communication module 16;
the face recognition module 14 controls the face recognition device 24 to perform face recognition, as shown in fig. 2 to 4, in this embodiment, the service architecture of the face recognition module 14 includes sample labeling, model training, and model application; the sample labeling comprises the use of a sample labeling tool, the labeling of a human face area detection sample and the labeling of a human face characteristic point calibration sample; the model training comprises face region detection model training, face region detection model evaluation, face characteristic point calibration model training, face characteristic point calibration model evaluation, face comparison model training and face comparison model evaluation; the model application comprises real-time video acquisition, real-time image capture, real-time face detection, real-time face characteristic point calibration, real-time face characteristic point alignment, real-time face comparison, real-time blink recognition and real-time mouth opening recognition; the technical architecture of the face recognition module 14 comprises an infrastructure layer, a learning framework layer, an algorithm model layer and a computer vision technical layer; the infrastructure layer comprises a CPU, a GPU, a cloud computing and big data, and the development framework of the GPU is cuda; the learning framework layer comprises Opencv, Dlib, TensorFlow and Keras which are related to computer vision, wherein Opencv is a computer vision library, Dlib is machine learning or deep learning, and Tensorflow and Keras are deep learning; the algorithm model layer comprises a human face region detection algorithm model (HOG/CNN), a human face feature point detection algorithm model (ResNet/CNN), a human face alignment algorithm model, a human face verification algorithm model and a living body detection algorithm model; the computer vision technology layer carries out model application; the data architecture of the face recognition module 14 comprises a sample data layer, a training model data layer and an application data layer; the sample data layer is input data of a model in model training and comprises a face image and label data; the training model data layer comprises face region detection model training data, face region detection model evaluation training data, face characteristic point calibration model evaluation training data, face comparison model training data and face comparison model evaluation training data; the application data layer comprises a registered face resource library and a registered face label library.
If the face recognition succeeds, it is proved that authorized workers operate the machine room environment measurement and control system, and therefore the machine room environment measurement and control system is authorized, the machine room environment measurement and control system is activated, the machine room environment measurement and control system is in a state that the operation can be changed, the safety of the system is guaranteed, if the face recognition fails, it is also shown that unauthorized persons perform illegal operation on the machine room environment measurement and control system, and therefore the machine room environment measurement and control system is not activated and cannot be operated or modified, and a good safety precaution effect is achieved.
The environmental parameter acquisition control module 11 controls the environmental parameter acquisition device 21 to acquire the actual environmental parameters of the machine room; the actual environmental parameters comprise actual environmental temperature of the machine room, actual environmental humidity, actual SF6 concentration, actual oxygen content, actual smoke concentration and water immersion level;
the machine room environment control system 1 is provided with standard environment parameters, the standard environment parameters include standard environment temperature, standard environment humidity, standard SF6 concentration, standard oxygen content and standard smoke concentration, warning water level and environment parameter alarm threshold, and meanwhile, in consideration of the overshoot of the system control, a preset range of the difference value between the actual environment parameter and the standard environment parameter is set, that is, when the difference value between the actual environment parameter and the standard environment parameter is within the preset range, the difference value is regarded as reaching the standard value. The setting of the standard environmental parameters and the preset range is performed according to the industry standards related to the power system executed in different provinces, which is not limited herein.
According to actual environmental parameters, the control of the temperature and humidity adjusting device 22 by the temperature and humidity adjusting control module 12, the control of the air purifying device 23 by the air evolution control module 13 and the control of the ventilation device 24 by the ventilation control module 14 are performed in a linkage manner, and the method specifically comprises the following aspects:
the environmental parameter acquisition control module 11 controls the environmental parameter acquisition device 21 to acquire the actual environmental temperature of the machine room, based on the air replacement principle, when the difference between the actual environmental temperature of the machine room and the standard environmental temperature is higher than the preset range, it is described that the temperature of the machine room is too high at the moment, and the risk of overheating combustion exists, therefore, the temperature and humidity regulation control module 12 carries out controllable weak airflow convection heat dissipation through regulating the rotating speed of the fan, regulates the airflow and the convection strength in real time, enables the dynamic characteristic matching of the heat source body heat productivity change, effectively organizes and accurately controls the disordered airflow, and optimizes the convection form of the airflow and the heat exchange efficiency to the maximum extent. The heat source bodies such as electrical equipment and the like are cooled through a composite heat exchange process in which natural convection and forced convection jointly act. Temperature humidity control module 12 still carries out the vector air supply through the orientation of adjusting the fan, flow direction to gas, the velocity of flow, flow and class are controlled by force, in order to form the convection current form of surrounding the heat-generating body rule from bottom to top, make full use of is by the natural convection current of air buoyancy lift drive, the natural cold source of the temperature difference production that the make full use of distributes by the building thermal field, make the air current fully carry out the heat exchange with the hot surface contact of heat-generating body through effectual air current tissue and good convection current form, make the cooling effect maximize of air convection, and then adjust the temperature of computer lab. The temperature and humidity adjusting device 22 includes a fan having a mounting frame, and the temperature and humidity adjusting control module 12 adjusts the orientation of the fan through the mounting frame. Through adjusting the wind direction and the wind speed, the actual environment temperature of the machine room is the same as the standard environment temperature, or the difference value between the actual environment temperature and the standard environment temperature is in a preset range. The temperature control mode that this embodiment adopted only needs to realize the cooling in the effective altitude space of equipment, and required refrigeration power is less. And continuously, fresh air enters, which is beneficial to keeping the air quality.
The environmental parameter acquisition control module 11 controls the environmental parameter acquisition device 21 to acquire actual environmental humidity, and when the difference value between the actual environmental humidity and the standard environmental humidity is higher than a preset range, the situation that air in a machine room is too humid and condensation causes short circuit and burnout of a machine room circuit is caused is indicated, so that the machine room needs to be dehumidified, and the temperature and humidity adjustment control module 12 controls the temperature and humidity adjustment device 22 to dehumidify the machine room; when the difference between the actual environment humidity and the standard environment humidity is lower than the preset range, the air in the machine room is over-dry, and once the temperature rises by combining the temperature control part, the risk of overheating combustion exists, so the machine room needs to be humidified, the temperature and humidity adjusting control module 12 controls the temperature and humidity adjusting device 22 to humidify the machine room, and finally the actual environment humidity of the machine room is the same as the standard environment humidity or the difference is kept in the preset range;
the environmental parameter acquisition control module 11 controls the environmental parameter acquisition device 21 to acquire actual SF6 concentration, actual oxygen content and actual smoke concentration, and when the difference value between the actual SF6 concentration and the standard SF6 concentration is higher than a preset range, the situation that SF6 gas exceeds the standard is indicated, so that the risk of harm to the personal health of workers in a machine room exists; when the difference value between the actual oxygen content and the standard oxygen content is higher than the preset range, the temperature and humidity control part is combined to indicate that the risk of overheating combustion is further increased; when the difference between the actual smoke concentration and the standard smoke concentration is higher than the preset range, it indicates that there is a deflagration risk, and therefore, the air evolution control module 13 controls the air purification device 23 to filter and purify the machine room, so that the actual SF6 concentration is the same as the standard SF6 concentration, the actual oxygen content is the same as the standard oxygen content, and the actual smoke concentration is the same as the standard smoke concentration, or the difference is within the preset range; it should be noted that, when the actual smoke concentration is too high, the fire occurs, and therefore, the fire-proof isolating valve window needs to be driven to be closed quickly, the fire spreading path is cut off, and the relevant fire-fighting specifications and requirements are met.
Meanwhile, the air purification filter body can be blocked after being used for a long time, so that the wind resistance is increased, and the environment regulation efficiency is influenced. Therefore, the machine room environment adjusting system 2 comprises a filtering and purifying device 27, which needs to automatically detect the dust deposition condition of the filtering body, give an alarm message when the blockage is found, and inform maintenance personnel to replace the filtering body.
Through the adjustment of the aspects, the actual environmental parameters of the machine room are the same as or different from the standard environmental parameters within a preset range.
Meanwhile, the environmental parameter acquisition control module 11 controls the environmental parameter acquisition device 21 to acquire the submersed water level in the machine room, the submersed water level acquired by the environmental parameter acquisition device 21 exceeds the warning water level, or the difference value between the actual environmental parameter acquired by the environmental parameter acquisition device 21 and the standard environmental parameter exceeds the environmental parameter alarm threshold value, the alarm control module 15 controls the alarm device 25 to send out corresponding alarm information, and the monitoring center or related workers are notified through the remote control terminal 26.
The computer room environment control system 1 further comprises a database 17, and in order to facilitate the historical data query, the database 17 stores the standard environment parameters, the warning water level, the environment parameter alarm threshold value of each time period and the actual environment parameters acquired by the environment parameter acquisition device 21. The remote control terminal 26 operates and controls the machine room environment control system 1 through the communication module 16, the communication module 16 is an ethernet communication module 16 or a cellular network communication module 16, and the remote control terminal 26 may be a mobile phone, a notebook computer or a tablet computer, which is not limited herein. The data in the database 17 is output by locally browsing, regularly sending the remote control terminal 26 and remotely querying the remote control terminal 26, so as to realize real-time monitoring and remote sensing.
The technical scheme provided by the embodiment applies an advanced face recognition technology to environmental monitoring of a machine room, and can activate and use a machine room environmental control system only when face recognition is successful, so that the safety of the system is ensured, and the system can be widely applied to indoor or machine rooms with compact arrangement of power system equipment and similar closed spaces in other industries, such as various voltage levels of outdoor, indoor, control room, secondary equipment room, main transformer room, distribution device room, capacitor room, reactor room, station transformer room and other similar space environments, including new construction, reconstruction and extension projects, has a wide application range, and realizes quality improvement, optimization and monitoring of the environment and early warning of abnormal events such as fire disasters and water immersion; meanwhile, the system also realizes real-time monitoring and remote sensing of the environmental state, can effectively reduce or overcome the adverse effect of the closed environment of the machine room on the operation of the electrical equipment, optimizes and monitors the environmental quality of the closed space environment, improves the operation condition of the electrical equipment, reduces the fault probability and improves the reliability of power supply.
While the present invention has been described with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Any modification which does not depart from the functional and structural principles of the present invention is intended to be included within the scope of the claims.
Claims (10)
1. A computer room environment measurement and control system based on face recognition is characterized in that the computer room environment measurement and control system based on face recognition is used for controlling a computer room environment adjusting system to adjust the environment of a computer room, the computer room environment adjusting system comprises a face recognition device, an environmental parameter acquisition device, a temperature and humidity adjusting device, an air purifying device, an alarm device and a remote control terminal, and the computer room environment controlling system comprises a face recognition module, an environmental parameter acquisition controlling module, a temperature and humidity adjusting controlling module, an air purifying controlling module, an alarm controlling module and a communication module;
the face recognition module controls the face recognition device to recognize the face, if the face recognition is successful, the machine room environment measurement and control system is authorized, and the machine room environment measurement and control system is activated;
the environment parameter acquisition control module controls the environment parameter acquisition device to acquire actual environment parameters of the machine room;
the machine room environment control system is provided with standard environment parameters, and controls the temperature and humidity adjusting device through the temperature and humidity adjusting control module, controls the air purifying device through the air purifying control module and controls the ventilating device through the ventilating control module according to the actual environment parameters, so that the actual environment parameters of the machine room are the same as the standard environment parameters or the difference value of the actual environment parameters and the standard environment parameters is kept within a preset range.
2. The computer room environment control system of claim 1, wherein the business architecture of the face recognition module comprises sample labeling, model training, and model application; the sample labeling comprises the use of a sample labeling tool, the labeling of a human face area detection sample and the labeling of a human face characteristic point calibration sample; the model training comprises face region detection model training, face region detection model evaluation, face characteristic point calibration model training, face characteristic point calibration model evaluation, face comparison model training and face comparison model evaluation; the model application comprises real-time video acquisition, real-time image capture, real-time face detection, real-time face characteristic point calibration, real-time face characteristic point alignment, real-time face comparison, real-time blink recognition and real-time mouth opening recognition.
3. The computer room environment control system according to claim 2, wherein the technical architecture of the face recognition module comprises an infrastructure layer, a learning framework layer, an algorithm model layer and a computer vision technology layer; the infrastructure layer comprises a CPU, a GPU, a cloud computing and big data, and the development framework of the GPU is cuda; the learning framework layer comprises Opencv, Dlib, TensorFlow and Keras which are related to computer vision; the algorithm model layer comprises a face region detection algorithm model, a face feature point detection algorithm model, a face alignment algorithm model, a face verification algorithm model and a living body detection algorithm model; and the computer vision technology layer performs model application.
4. The computer room environment control system according to claim 3, wherein the data architecture of the face recognition module comprises a sample data layer, a training model data layer and an application data layer; the sample data layer is input data of a model in model training and comprises a face image and label data; the training model data layer comprises face region detection model training data, face region detection model evaluation training data, face characteristic point calibration model evaluation training data, face comparison model training data and face comparison model evaluation training data; the application data layer comprises a registered face resource library and a registered face label library.
5. The computer room environment control system according to any one of claims 1 to 4, wherein the actual environment parameter includes an actual environment temperature of the computer room, the environment parameter acquisition control module controls the environment parameter acquisition device to acquire the actual environment temperature of the computer room, the standard environment parameter includes a standard environment temperature, and when a difference between the actual environment temperature of the transformer substation and the standard environment temperature is higher than a preset range, the temperature and humidity adjustment control module controls the temperature and humidity adjustment device to adjust the temperature of the computer room.
6. The computer room environment control system of claim 5, wherein the temperature and humidity control device comprises a fan, the fan has a mounting bracket, the temperature and humidity control module adjusts the orientation of the fan through the mounting bracket, and the temperature and humidity control module adjusts the temperature of the computer room by adjusting the rotation speed and the orientation of the fan.
7. The machine room environment control system according to any one of claims 1 to 4, wherein the actual environment parameters include actual environment humidity, the environment parameter acquisition control module controls the environment parameter acquisition device to acquire the actual environment humidity, the standard environment parameters include standard environment humidity, when a difference between the actual environment humidity and the standard environment humidity is higher than a preset range, the temperature and humidity adjustment control module controls the temperature and humidity adjustment device to dehumidify the machine room, and when the difference between the actual environment humidity and the standard environment humidity is lower than the preset range, the temperature and humidity adjustment control module controls the temperature and humidity adjustment device to humidify the machine room.
8. The computer room environment control system according to any one of claims 1 to 4, wherein the actual environmental parameters include an actual SF6 concentration, an actual oxygen content and an actual smoke concentration, the environmental parameter collection control module controls the environmental parameter collection device to collect the actual SF6 concentration, the actual oxygen content and the actual smoke concentration, the standard environmental parameters include a standard SF6 concentration, a standard oxygen content and a standard smoke concentration, and the air purification control module controls the air purification device to filter and purify the computer room when a difference between the actual SF6 concentration, the actual oxygen content, the actual smoke concentration and the standard SF6 concentration, the standard oxygen content and the standard smoke concentration is higher than a preset range.
9. The computer room environment control system according to any one of claims 1 to 4, wherein the environmental parameter collection control module controls the environmental parameter collection device to collect a water level of flooding in the computer room, the standard environmental parameter includes a warning water level and an environmental parameter alarm threshold, the water level of flooding collected by the environmental parameter collection device exceeds the warning water level, or the actual environmental parameter collected by the environmental parameter collection device exceeds the environmental parameter alarm threshold, and the alarm control module controls the alarm device to send out corresponding alarm information.
10. The computer room environment control system according to any one of claims 1 to 4, wherein the remote control terminal operates and controls the computer room environment control system through a communication module, the communication module being an Ethernet communication module or a cellular network communication module; the computer room environment control system also comprises a database, wherein the database stores standard environment parameters, a warning water level, an environment parameter alarm threshold value and actual environment parameters acquired by the environment parameter acquisition device, and data in the database is output in a mode of local browsing, timed sending to the remote control terminal and remote query of the remote control terminal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113589873A (en) * | 2021-09-27 | 2021-11-02 | 广州市企通信息科技有限公司 | Machine room environment measurement and control system based on Internet of things |
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Application publication date: 20201030 |