Temperature control method and system for assembly type machine room

Abstract

The invention discloses a temperature control method and system for an assembly type machine room, and the method comprises the following steps: S1, data collection: arranging a plurality of temperature sensors in the assembly type machine room, and collecting the temperature data of different positions in the machine room in real time; s2, data preprocessing: preprocessing the collected temperature data, including data cleaning, denoising and normalization processing, so as to improve the accuracy and reliability of the data; s3, establishing a temperature prediction model: adopting an algorithm based on machine learning to establish a machine room temperature prediction model, taking the preprocessed temperature data as input, training the machine room temperature prediction model, and predicting the temperature change trend of the machine room; and S4, making a control decision according to a temperature prediction result and a preset temperature threshold: when the predicted temperature is about to exceed a threshold range, calculating required refrigeration or heating power by the system, and determining an operation strategy of an air conditioner and a ventilation module. According to the fabricated machine room temperature control method, advanced machine learning and control algorithms are adopted, accurate prediction and intelligent control over the temperature of the machine room can be achieved, the temperature control precision is improved, it is ensured that machine room equipment stably operates in a proper temperature environment, and the service life of the equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control of a computer room, and in particular to a temperature control method and system for an assembled computer room. Background Art

[0002] As a new model of computer room construction, prefabricated computer rooms have the advantages of rapid deployment and flexible mobility, and have been widely used in various industries. However, due to the dense equipment in the computer room, a large amount of heat is generated during operation, and the heating characteristics and heat dissipation requirements of different equipment are different, which makes the temperature control of prefabricated computer rooms face many challenges. Traditional temperature control methods often have difficulty in achieving accurate and efficient temperature regulation, which not only affects the normal operation and life of the equipment, but also may cause energy waste.

[0003] In the existing technology, there are many problems in the construction of computer rooms. In terms of energy consumption, the operation of equipment in the computer room generates a lot of heat. The heat dissipation system of traditional computer rooms is often not efficient enough, resulting in long-term high-load operation of refrigeration equipment such as air conditioners, wasting a lot of electricity. In addition, the construction of traditional computer rooms is mostly done on-site, and the assembly of various components is not precise enough, which easily leads to gaps and other poor insulation performance, further increasing energy loss.

[0004] Therefore, a more efficient and accurate temperature control method and system are needed to ensure the stable operation of the prefabricated computer room. Summary of the invention

[0005] In order to solve the technical problems in the background technology, the purpose of the present invention is to provide a temperature control method and system for an assembled computer room, which can adjust the temperature in real time and intelligently according to the actual situation of the computer room.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention provides a temperature control system for an assembled machine room, comprising a plurality of distributed temperature sensors, air conditioners, ventilation modules and a controller;

[0008] The temperature sensor, air conditioner and ventilation module are all connected to the controller to facilitate data interaction;

[0009] The temperature sensor is used to collect temperature data in the computer room in real time;

[0010] The ventilation module includes a ventilation duct, a heat dissipation fan and an automatic valve. The ventilation duct is arranged on the side wall of the computer room. The heat dissipation fan and the automatic valve are arranged in the ventilation duct. When the temperature in the computer room rises to a set threshold, the air conditioner is controlled to cool, the automatic valve is opened, and the heat dissipation fan starts to work to take away the heat in the computer room; when the temperature in the computer room is lower than the set threshold, the air conditioner is controlled to heat, the automatic valve is closed, and the heat dissipation fan stops working.

[0011] As a further improvement of the above technical solution, the prefabricated machine room includes a steel structure frame, and a prefabricated composite wall is installed on the outside of the steel structure frame.

[0012] As a further improvement of the above technical solution, a ceiling air conditioner is provided on the top of the assembled machine room.

[0013] As a further improvement of the above technical solution, the prefabricated composite wall includes, from the outside to the inside, a first foam particle concrete layer, an aluminum-zinc-coated steel core board, a second foam particle concrete layer, and a thermal insulation composite layer; the thermal insulation composite layer includes, in sequence, a flame-retardant XPS thermal insulation board and an aluminum foil bubble insulation film, the flame-retardant XPS thermal insulation board is connected to the second foam particle concrete layer, and the aluminum foil bubble insulation film is arranged on the outer surface of the flame-retardant XPS thermal insulation board.

[0014] As a further improvement of the above technical solution, the steel structure frame is fixed on the basic base.

[0015] As a further improvement of the above technical solution, the steel structure frame includes frame columns, frame bottom beams, and frame top beams;

[0016] As a further improvement of the above technical solution, the frame column is fixed on the basic base, and the frame bottom beam, frame top beam and frame column are vertically fixedly connected.

[0017] As a further improvement of the above technical solution, the assembled composite wall and the steel structure frame are fixed by self-tapping screws.

[0018] As a further improvement of the above technical solution, the frame columns, frame bottom beams and frame top beams are fixed by bolts or welding.

[0019] The present invention also provides a temperature control method for an assembled machine room, comprising the following steps:

[0020] S1. Data collection: By arranging multiple temperature sensors in the assembled computer room, the temperature data at different locations in the computer room are collected in real time;

[0021] S2. Data preprocessing: preprocess the collected temperature data, including data cleaning, denoising and normalization, to improve the accuracy and reliability of the data;

[0022] S3. Establish a temperature prediction model: Use a machine learning-based algorithm to establish a temperature prediction model for the computer room. Use the preprocessed temperature data as input to train the temperature prediction model for the computer room and predict the temperature change trend of the computer room.

[0023] S4. Make control decisions based on the temperature prediction results and the preset temperature threshold: When the predicted temperature is about to exceed the threshold range, the system calculates the required cooling or heating power and determines the operation strategy of the air conditioning and ventilation modules.

[0024] In a specific implementation, in step S3, a long short-term memory network algorithm (LSTM) is used to establish a computer room temperature prediction model. The LSTM algorithm can effectively process long-term dependencies in time series data and accurately capture the laws of temperature changes.

[0025] In a specific implementation, in step S4, a fuzzy logic control algorithm is used to dynamically adjust the output power of the air conditioner and the wind speed of the ventilation module according to the temperature deviation and the deviation change rate to achieve accurate temperature control. The fuzzy logic control algorithm can make decisions based on fuzzy rules in a complex environment and has strong adaptability and robustness.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] By installing prefabricated composite walls, the heat exchange between the computer room and the outside world is reduced, and the load on the air conditioner is reduced; by installing ventilation devices in the ventilation ducts, when the temperature in the computer room is high, the air conditioner and cooling fan are used to dissipate heat, further reducing energy consumption.

[0028] The flame-retardant XPS insulation board can still maintain flame-retardant and heat-insulating properties in high temperature environments, thereby enhancing the fireproof performance of the insulation composite layer; the excellent waterproof ability of the aluminum foil bubble insulation film enables the insulation composite layer to have the ability to block moisture from entering the room, thereby achieving a moisture-proof and humidity-resistant effect.

[0029] The temperature control method of the prefabricated computer room adopts advanced machine learning and control algorithms, which can realize accurate prediction and intelligent control of the temperature of the computer room, improve the accuracy of temperature control, ensure that the equipment in the computer room operates stably in a suitable temperature environment, and extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 This is the functional module diagram of the temperature control system of the prefabricated computer room.

[0032] Figure 2 A three-dimensional diagram of the energy-saving assembled machine room provided by the present invention.

[0033] Figure 3 This is a front view of the energy-saving assembled machine room provided by the present invention.

[0034] Figure 4 A schematic structural diagram of the ventilation device provided by the present invention.

[0035] Figure 5 This is a schematic structural diagram of the assembled composite wall provided by the present invention.

[0036] In the figure: 1-machine room, 2-steel structure frame, 21-frame column, 22-frame bottom beam, 23-frame top beam, 3-assembled composite wall, 31-first foam particle concrete layer, 32-aluminum-zinc-coated steel core board, 33-second foam particle concrete layer, 34-flame retardant XPS insulation board, 35-aluminum foil bubble insulation film, 4-ceiling air conditioner, 6-ventilation module, 61-ventilation duct, 62-cooling fan, 63-automatic valve, 7-foundation base, 8-machine room door, 9-temperature sensor. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] A number of embodiments are given below to describe the present invention in detail.

[0039] Example 1

[0040] like Figures 1 to 5 As shown, a temperature control system for an assembled machine room includes a plurality of distributed temperature sensors 9, a ceiling air conditioner 4, a ventilation module 6 and a controller;

[0041] The temperature sensor 9, the ceiling air conditioner 4, and the ventilation module 6 are all connected to the controller to facilitate data interaction;

[0042] The temperature sensor 9 is used to collect temperature data in the machine room in real time;

[0043] The ventilation module 6 includes a ventilation duct 61, a heat dissipation fan 62 and an automatic valve 63. The ventilation duct 61 is arranged on the side wall of the computer room 1. The heat dissipation fan 62 and the automatic valve 63 are arranged in the ventilation duct 61. When the temperature in the computer room rises to a set threshold, the air conditioner is controlled to cool, the automatic valve is opened, and the heat dissipation fan starts working to take away the heat in the computer room; when the temperature in the computer room is lower than the set threshold, the air conditioner is controlled to heat, the automatic valve is closed, and the heat dissipation fan stops working.

[0044] Specifically, the assembled machine room includes a steel structure frame 2 , and an assembled composite wall 3 is installed outside the steel structure frame 2 .

[0045] Specifically, a ceiling air conditioner 4 is provided on the top of the assembled machine room.

[0046] Specifically, the prefabricated composite wall 3 includes, from the outside to the inside, a first foam particle concrete layer 31, an aluminum-zinc-coated steel core board 32, a second foam particle concrete layer 33, and an insulation composite layer; the insulation composite layer includes, in sequence, a flame-retardant XPS insulation board 34 and an aluminum foil bubble insulation film 35, the flame-retardant XPS insulation board is connected to the second foam particle concrete layer, and the aluminum foil bubble insulation film is arranged on the outer surface of the flame-retardant XPS insulation board.

[0047] Specifically, the steel structure frame 2 is fixed on the basic base 7 .

[0048] Specifically, the steel structure frame 2 includes a frame column 21 , a frame bottom beam 22 , and a frame top beam 23 ; the frame column 21 is fixed on the foundation base 7 , and the frame bottom beam 22 and the frame top beam 23 are vertically fixed to the frame column 21 .

[0049] Specifically, the assembled composite wall 3 and the steel structure frame 2 are fixed by self-tapping screws.

[0050] Specifically, the frame column 21, the frame bottom beam 22, and the frame top beam 23 are fixed by bolts or welding.

[0051] Example 2

[0052] A temperature control method for an assembled machine room comprises the following steps:

[0053] S1. Data collection: By arranging multiple temperature sensors in the assembled computer room, the temperature data at different locations in the computer room are collected in real time;

[0054] S2. Data preprocessing: preprocess the collected temperature data, including data cleaning, denoising and normalization, to improve the accuracy and reliability of the data;

[0055] S3. Establish a temperature prediction model: Use a machine learning-based algorithm to establish a temperature prediction model for the computer room. Use the preprocessed temperature data as input to train the temperature prediction model for the computer room and predict the temperature change trend of the computer room.

[0056] S4. Make control decisions based on the temperature prediction results and the preset temperature threshold: When the predicted temperature is about to exceed the threshold range, the system calculates the required cooling or heating power and determines the operation strategy of the air conditioning and ventilation modules.

[0057] In step S3, a long short-term memory network algorithm (LSTM) is used to establish a room temperature prediction model. The LSTM algorithm can effectively process long-term dependencies in time series data and accurately capture the law of temperature changes.

[0058] Specifically, the long short-term memory network algorithm (LSTM) is as follows:

[0059] 3.1) Forget Gate:

[0060] The formula is f t =σ(w f ·(h t-1 , x t )+b f )

[0061] Among them, f t It is the output of the forget gate, and its value is between 0 and 1, where 0 means completely forgotten and 1 means completely retained;

[0062] σ is the sigmoid activation function, w f is the weight matrix of the forget gate, b f is the bias term of the forget gate, h t-1 is the hidden state of the previous time step, x t is the input for the current time step.

[0063] 3.2) Input Gate:

[0064] First, calculate the decision part of the input gate, the formula is i t =σ(w i ·(h t-1 ,x t )+b i )

[0065] Among them, i t is the output of the input gate, which also takes values ​​between 0 and 1. i is the weight matrix of the input gate, b i is the bias term of the input gate;

[0066] Then the candidate memory cells are calculated, the formula is

[0067] in, is the candidate memory cell state, w c is the weight matrix of candidate memory cells, b c is the bias term of the candidate memory cell, and tanh is the activation function whose output value is between -1 and 1.

[0068] 3.3) Cell status update:

[0069] The formula is

[0070] Among them, C t is the memory cell state at the current time step, C t-1 is the state of the memory cell at the previous time step, ⊙ represents element-wise multiplication; the forget gate f t Controls how much of the memory cell information of the previous time step is forgotten, input gate i t Controls how much of the candidate memory cell information at the current time step is added to the current memory cell state.

[0071] 3.4) Output Gate:

[0072] The formula is o t =o(w o ·(h t-1 )+b o )

[0073] Among them, t is the output of the output gate, w o is the weight matrix of the output gate, b o is the bias term of the output gate.

[0074] 3.5) Hidden state:

[0075] The formula is h t =o t ☉tanhc t

[0076] Among them, h t is the hidden state of the current time step, which is the final output of the LSTM unit and will be passed to the next time step or as the output of the model; the tanh function ensures that the hidden state element value is between -1 and 1, and the output gate o t Controls how much the memory cell state influences the hidden state.

[0077] In step S4, a fuzzy logic control algorithm is used to dynamically adjust the output power of the air conditioner and the wind speed of the ventilation module according to the temperature deviation and the deviation change rate to achieve precise temperature control; the fuzzy logic control algorithm can make decisions based on fuzzy rules in complex environments and has strong adaptability and robustness.

[0078] It should be noted that, in this article, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus.

[0079] Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core idea of ​​the present invention.

[0080] The above are only preferred embodiments of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A temperature control method for an assembled machine room, characterized in that: The following steps are involved: S1. Data collection: By arranging multiple temperature sensors in the assembled computer room, the temperature data at different locations in the computer room are collected in real time; S2. Data preprocessing: preprocess the collected temperature data, including data cleaning, denoising and normalization, to improve the accuracy and reliability of the data; S3. Establish a temperature prediction model: Use a machine learning-based algorithm to establish a temperature prediction model for the computer room. Use the preprocessed temperature data as input to train the temperature prediction model for the computer room and predict the temperature change trend of the computer room. S4. Make control decisions based on the temperature prediction results and the preset temperature threshold: When the predicted temperature is about to exceed the threshold range, the system calculates the required cooling or heating power and determines the operation strategy of the air conditioning and ventilation modules.

2. A temperature control method for an assembled machine room according to claim 1, characterized in that: In step S3, a long short-term memory network algorithm LSTM is used to establish a room temperature prediction model.

3. According to the temperature control method of the assembled machine room according to claim 1, it is characterized in that: In step S4, a fuzzy logic control algorithm is used to dynamically adjust the output power of the air conditioner and the wind speed of the ventilation module according to the temperature deviation and the deviation change rate to achieve precise temperature control.

4. A temperature control system for an assembled machine room, characterized in that: Includes multiple distributed temperature sensors, air conditioners, ventilation modules and controllers; The temperature sensor, air conditioner and ventilation module are all connected to the controller to facilitate data interaction; The temperature sensor is used to collect temperature data in the computer room in real time; The ventilation module includes a ventilation duct, a heat dissipation fan and an automatic valve. The ventilation duct is arranged on the side wall of the computer room. The heat dissipation fan and the automatic valve are arranged in the ventilation duct. When the temperature in the computer room rises to a set threshold, the air conditioner is controlled to cool, the automatic valve is opened, and the heat dissipation fan starts to work to take away the heat in the computer room; when the temperature in the computer room is lower than the set threshold, the air conditioner is controlled to heat, the automatic valve is closed, and the heat dissipation fan stops working.

5. According to claim 4, a temperature control system for an assembled machine room is characterized in that: The assembled machine room comprises a steel structure frame, and an assembled composite wall is installed outside the steel structure frame.

6. According to claim 4, a temperature control system for an assembled machine room is characterized in that: A ceiling air conditioner is arranged on the top of the assembled machine room.

7. The temperature control system of a prefabricated machine room according to claim 4, characterized in that: The assembled composite wall includes, from outside to inside, a first foam particle concrete layer, an aluminum-zinc-coated steel core board, a second foam particle concrete layer, and a thermal insulation composite layer; the thermal insulation composite layer includes, in sequence, a flame-retardant XPS thermal insulation board and an aluminum foil bubble insulation film; the flame-retardant XPS thermal insulation board is connected to the second foam particle concrete layer, and the aluminum foil bubble insulation film is arranged on the outer surface of the flame-retardant XPS thermal insulation board.

8. The temperature control system of a prefabricated machine room according to claim 4, characterized in that: The steel structure frame is fixed on the foundation base; The steel structure frame includes frame columns, frame bottom beams, and frame top beams; The frame column is fixed on the basic base, and the frame bottom beam, frame top beam and frame column are vertically fixedly connected.

9. The temperature control system of a prefabricated machine room according to claim 4, characterized in that: The assembled composite wall and the steel structure frame are fixed by self-tapping screws.

10. The temperature control system of a prefabricated machine room according to claim 4, characterized in that: The frame columns, frame bottom beams and frame top beams are fixed by bolts or welding.

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