Laboratory energy-saving control system and method based on low dew point

Abstract

The invention discloses a laboratory energy-saving control system and method based on a low dew point, and the system obtains the environment data and energy consumption data of a laboratory through the monitoring of a data collection unit, carries out the preliminary analysis through an energy-saving analysis unit, and comprehensively evaluates the environment state of the laboratory from the temperature level, humidity level and airflow level of the laboratory. According to the method, data processing comprehensiveness is ensured, a change relation between a laboratory environment state and an energy consumption level is constructed, a laboratory energy-saving management scheme and an energy-saving regulation and control signal are generated, an energy-saving low-dew-point laboratory environment is realized, a predicted energy consumption risk of a laboratory is deeply analyzed through a risk analysis unit, and a risk prompt signal is generated; the low-dew-point stability of the laboratory is ensured, and then the regulation and control management unit receives the signal and carries out corresponding equipment regulation and control management, so that the humidity in the laboratory is maintained in a required low-humidity range, and the stability and accuracy of the experiment process are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control, and in particular to a laboratory energy-saving control system and method based on low dew point. Background Art

[0002] Dew point, also known as dew point temperature, refers to the temperature at which the gaseous water in the air reaches saturation and condenses into liquid water under a fixed air pressure. At this temperature, if the condensed liquid water floats in the air, it is called fog; if it sticks to the solid surface, it is called dew, hence the name dew point.

[0003] In some laboratories, dehumidification and drying are very important links. Compressed gas has strict requirements on dew point (water content) when used. If the dew point (water content) exceeds the standard, it will cause experimental accidents. Therefore, the research and development of low dew point (-60℃) laboratories is necessary.

[0004] Existing laboratories have defects such as high equipment energy consumption and incomplete data analysis in the process of regulating low dew points. They cannot achieve the dynamic optimal balance between laboratory environmental conditions and equipment energy consumption, resulting in high energy costs, insufficient regulation and risk prediction accuracy, and failure to ensure that the humidity inside the laboratory is maintained within the required low humidity range, resulting in poor stability and accuracy of the experimental process.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to solve the defects of high equipment energy consumption and incomplete data analysis in the low dew point control in the prior art, thereby causing high energy costs, insufficient control degree and risk prediction accuracy, resulting in poor stability and accuracy of the experimental process, and monitoring and acquiring laboratory environmental data and energy consumption data through a data acquisition unit, and performing preliminary analysis through an energy-saving analysis unit, comprehensively evaluating the laboratory environmental status from the laboratory's temperature level, humidity level and airflow level to ensure comprehensive data processing, and constructing a changing relationship between the laboratory environmental status and the energy consumption level, generating a laboratory energy-saving management plan and an energy-saving control signal, and realizing an energy-saving low dew point laboratory environment, and then deeply analyzing the predicted energy consumption risk of the laboratory through a risk analysis unit, and generating a risk warning signal to ensure the low dew point stability of the laboratory, and then receiving the signal through the control management unit and performing corresponding equipment control management, thereby ensuring that the humidity inside the laboratory is maintained within the required low humidity range, and ensuring the stability and accuracy of the experimental process.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A laboratory energy-saving control system based on low dew point, comprising a data acquisition unit, an energy-saving analysis unit, a risk analysis unit and a control management unit, wherein the data acquisition unit, the energy-saving analysis unit, the risk analysis unit and the control management unit are signal-connected;

[0009] A laboratory energy-saving control method based on low dew point comprises the following steps:

[0010] Step 1: The data collection unit monitors and obtains the laboratory's environmental data and energy consumption data:

[0011] Environmental data includes temperature parameters, humidity parameters and airflow parameters; set the data collection period Ta to synchronously collect environmental data and energy consumption data;

[0012] Step 2: The energy-saving analysis unit preliminarily analyzes the environmental data and energy consumption data and generates energy-saving control signals: by preliminarily analyzing the temperature parameters, humidity parameters and airflow parameters, the temperature level, humidity level and airflow level of the laboratory are evaluated in turn, and then the laboratory environmental status is comprehensively evaluated; the laboratory energy consumption level is evaluated by analyzing the energy consumption data, and then the relationship between the change of the laboratory environmental status and the energy consumption level is constructed, and the laboratory energy-saving management plan and the corresponding energy-saving control signal are generated;

[0013] Step 3: The risk analysis unit deeply analyzes and predicts the energy consumption risk of the laboratory and generates corresponding risk warning signals;

[0014] Step 4: The control management unit receives the energy-saving control signal and the risk warning signal and performs corresponding equipment control management.

[0015] Furthermore, the specific process of preliminary analysis of environmental data is as follows:

[0016] A1: Construct parameter preprocessing model to analyze the integrity and differences of parameters:

[0017] Sa1, input n0 parameter values ​​of parameter A into the parameter preprocessing model, and mark any parameter value as Da;

[0018] Sa1-1, by averaging n0 parameter values, obtain the overall reference value Cda1 of parameter A to evaluate the integrity of parameter A;

[0019] Sa1-2, by calculating the variance of n0 parameter values, obtain the difference reference value Cda2 of parameter A and evaluate the difference of parameter A;

[0020] Sa1-3, by combining the overall reference value Cda1 and the difference reference value Cda of parameter A, the standard value of parameter A is set and marked as φa, thereby obtaining the evaluation coefficient Xa of parameter A;

[0021] Sa1-4, evaluation coefficient Xa of the output parameter A of the parameter preprocessing model;

[0022] A2: Substitute the temperature parameter, humidity parameter and airflow parameter into the parameter preprocessing model in sequence, output the corresponding evaluation coefficients respectively, and mark them as temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq in sequence;

[0023] A3: Then, the laboratory environment status is comprehensively evaluated by combining the laboratory's temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq.

[0024] Furthermore, the specific processing process of the parameter preprocessing model is:

[0025] Sa2, marking the environmental data and substituting it into the parameter preprocessing model;

[0026] Sa2-1, establish a three-dimensional spatial model of the laboratory and divide it into N1 characteristic areas, mark any characteristic area as Zj, and mark the temperature value, humidity value and gas flow rate value of the characteristic area Zj as WDj, SDj and VQj respectively;

[0027] Sa2-2, the temperature parameter includes the temperature values ​​of N1 characteristic regions, the temperature parameter is taken as parameter A, the temperature values ​​WDj of N1 characteristic regions are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as the temperature evaluation coefficient Xwd;

[0028] Sa2-3, the humidity parameter includes the humidity values ​​of N1 feature areas, the humidity parameter is taken as parameter A, the humidity values ​​SDj of N1 feature areas are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as humidity evaluation coefficient Xsd;

[0029] Sa2-4, the airflow parameters include the gas flow rate values ​​of N1 characteristic areas. The airflow parameters are taken as parameter A, and the gas flow rate values ​​VQj of N1 characteristic areas are taken as n0 parameter values ​​of parameter A, which are input into the parameter preprocessing model, and the evaluation coefficient Xa of parameter A is output and marked as the airflow evaluation coefficient Xvq.

[0030] Furthermore, the specific process of comprehensively evaluating the laboratory environment status is as follows:

[0031] Construct an environmental feature vector P = [Xwd, Xsd, Xvq], collect the environmental feature vectors P corresponding to n1 data collection cycles, and thus construct a historical matrix V;

[0032] By analyzing the history matrix V, the floating feature vector H is obtained: H = [h1 h2 h3];

[0033] Among them, h1 refers to the characteristic value of the temperature evaluation coefficient Xwd, h2 refers to the characteristic value of the humidity evaluation coefficient Xsd, and h3 refers to the characteristic value of the airflow evaluation coefficient Xvq;

[0034] Then, the weight factors of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq are obtained in turn through the proportion of the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq in the floating characteristic vector H;

[0035] Then, the comprehensive index Zhj of the laboratory environment is obtained by combining the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq and their weight factors;

[0036] Set the evaluation interval of the laboratory environment comprehensive index Zhj and evaluate the laboratory environment status through interval comparison.

[0037] Furthermore, the specific process of preliminarily analyzing energy consumption data to generate a laboratory energy-saving management plan is as follows:

[0038] The energy consumption data includes the power consumption of N0 devices. Any device is marked as i, and the power consumption of device i is marked as Wi. The energy consumption evaluation coefficient Xnh is obtained by combining the power consumption Wi of N0 devices.

[0039] The specific process of generating the laboratory energy-saving management plan is as follows:

[0040] Construct the change curve between the laboratory environment comprehensive index Zhj and the energy consumption evaluation coefficient Xnh, and generate the change function F(x) through mathematical modeling fitting:

[0041] Change function F(x) = laboratory environment comprehensive index Zhj / energy consumption evaluation coefficient Xnh;

[0042] Set the data calculation period Ts to perform regular calculations on the change function F(x), create a dynamic curve Sf of the change function F(x) and the data calculation period Ts, compare and analyze to obtain the maximum value Fmax of the change function F(x), and use it as the optimal value of the change function F(x), indicating that the laboratory environment and energy consumption are at the optimal balance point. The equipment parameter plan corresponding to the optimal value is the optimal energy consumption control plan in the historical period;

[0043] Then continuously optimize and refresh the value of Fmax: continue to update and extend the dynamic curve Sf according to the data calculation cycle Ts, and compare the value of the change function F(x) obtained in the new data calculation cycle Ts with the Fmax in the historical cycle, and save the larger value;

[0044] According to the optimal energy consumption control plan, the corresponding energy-saving control signal is generated, and the N0 equipment in the laboratory are regulated accordingly through the energy-saving control signal, so as to configure appropriate control and management facilities for the low dew point environment.

[0045] Furthermore, the specific operation process of the risk analysis unit is as follows:

[0046] The change curve between the laboratory environment comprehensive index Zhj and the energy consumption evaluation coefficient Xnh is marked as Se, N2 points of the change curve Se are extracted, any point is marked as R1 (Xr1, Yr1), the point closest to point R1 is marked as R2 (Xr2, Yr2), and the slope Kr1 of point R1 is calculated;

[0047] Then, the average value of the slope of N2 points is calculated to obtain the curve increase rate Ks of the change curve Se, and the overall coefficient Zs of the curve is obtained by calculating the average value of the ordinates of N2 points of the change curve Se, and then the standard deviation of the ordinates of N2 points of the change curve Se is calculated to obtain the curve fluctuation coefficient σs, and then the curve increase rate Ks of the change curve Se, the overall coefficient Zs of the curve and the curve fluctuation coefficient σs are combined to obtain the laboratory energy consumption risk index Zfx;

[0048] Set the evaluation range of the laboratory energy consumption risk index Zfx, and evaluate the predicted energy consumption risk level of the laboratory through interval comparison.

[0049] Furthermore, the specific operation process of the control management unit is:

[0050] When receiving the energy-saving control signal, the N0 devices in the laboratory are regulated accordingly according to the optimal energy consumption control scheme;

[0051] When a risk warning signal is received, a corresponding visual display is performed according to the level of the risk warning signal, thereby prompting laboratory managers to implement a control and management plan for the low dew point environment.

[0052] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0053] The present invention monitors and acquires the environmental data and energy consumption data of the laboratory through a data acquisition unit, and performs preliminary analysis through an energy-saving analysis unit, comprehensively evaluates the laboratory environmental status from the temperature level, humidity level and airflow level of the laboratory, ensures the comprehensiveness of data processing, and constructs a changing relationship between the laboratory environmental status and the energy consumption level, generates a laboratory energy-saving management plan and an energy-saving control signal, and realizes an energy-saving low dew point laboratory environment. The risk analysis unit then deeply analyzes the predicted energy consumption risk of the laboratory and generates a risk warning signal to ensure the low dew point stability of the laboratory, and then receives the signal through the control management unit and performs corresponding equipment control management, thereby ensuring that the humidity inside the laboratory is maintained within the required low humidity range, and ensuring the stability and accuracy of the experimental process. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 Shows a schematic diagram of the modules of the present invention;

[0055] Figure 2 A schematic diagram of the process of the present invention is shown. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0057] Embodiment 1:

[0058] like Figure 1-2 As shown, a laboratory energy-saving control system based on low dew point includes a data acquisition unit, an energy-saving analysis unit, a risk analysis unit and a control management unit, wherein the data acquisition unit, the energy-saving analysis unit, the risk analysis unit and the control management unit are connected by signals, and the system applies the following laboratory energy-saving control method based on low dew point;

[0059] The specific working steps are as follows:

[0060] Step 1: The data collection unit monitors and obtains the laboratory's environmental data and energy consumption data:

[0061] Environmental data includes temperature parameters, humidity parameters and airflow parameters; set the data collection period Ta to synchronously collect environmental data and energy consumption data;

[0062] Step 2: The energy-saving analysis unit preliminarily analyzes the environmental data and energy consumption data and generates energy-saving control signals: by preliminarily analyzing the temperature parameters, humidity parameters and airflow parameters, the temperature level, humidity level and airflow level of the laboratory are evaluated in turn, and then the laboratory environmental status is comprehensively evaluated; the laboratory energy consumption level is evaluated by analyzing the energy consumption data, and then the relationship between the change of the laboratory environmental status and the energy consumption level is constructed, and the laboratory energy-saving management plan and the corresponding energy-saving control signal are generated;

[0063] S2-1, the specific process of preliminary analysis of environmental data is as follows:

[0064] A1: Construct parameter preprocessing model to analyze the integrity and differences of parameters:

[0065] Sa1, input n0 parameter values ​​of parameter A into the parameter preprocessing model, and mark any parameter value as Da;

[0066] Sa1-1, by averaging n0 parameter values, obtain the overall reference value Cda1 of parameter A:

[0067] The integrity of parameter A is evaluated by the overall reference value Cda1 of parameter A; when the overall reference value Cda1 of parameter A is higher, the overall level of parameter A is evaluated to be higher;

[0068] Sa1-2, by calculating the variance of n0 parameter values, obtain the difference reference value Cda2 of parameter A:

[0069] The difference of parameter A is evaluated by the difference reference value Cda2 of parameter A; when the difference reference value Cda2 of parameter A is higher, the difference level of parameter A is evaluated to be higher;

[0070] Sa1-3, by combining the overall reference value Cda1 and the difference reference value Cda of parameter A, set the standard value of parameter A and mark it as φa, so as to obtain the evaluation coefficient Xa of parameter A:

[0071]

[0072] Among them, α1 and α2 are the weight coefficients of the overall reference value Cda1 and the difference reference value Cda, respectively, and α1 and α2 are both greater than 0. The weight coefficients are preset and obtained after being measured by a large amount of experimental data; the standard value φa of parameter A refers to the target value of parameter A required by the laboratory. When the difference between the overall reference value Cda1 of parameter A and the standard value φa is smaller, it means that parameter A is closer to the actual demand and the control effect of parameter A is better; when the difference reference value Cda of parameter A is smaller, it means that the difference between each area in the laboratory space is smaller, indicating that the control effect of parameter A is better; therefore, when the evaluation coefficient Xa of parameter A is larger, it means that the comprehensive control effect of parameter A is better;

[0073] Sa1-4, evaluation coefficient Xa of the output parameter A of the parameter preprocessing model;

[0074] Sa2, marking the environmental data and substituting it into the parameter preprocessing model;

[0075] Sa2-1, establish a three-dimensional spatial model of the laboratory and divide it into N1 characteristic areas, mark any characteristic area as Zj, and mark the temperature value, humidity value and gas flow rate value of the characteristic area Zj as WDj, SDj and VQj respectively;

[0076] Among them, the temperature value WDj refers to the dew point temperature, which is collected by a dew point meter; the humidity value SDj refers to the absolute humidity, which is collected by a hygrometer; the gas flow rate value VQj refers to the air velocity, which is collected by an anemometer;

[0077] A1-1: Evaluate the temperature level of the laboratory by preliminarily analyzing the integrity and differences of temperature parameters;

[0078] Sa2-2, the temperature parameter includes the temperature values ​​of N1 characteristic regions, the temperature parameter is taken as parameter A, the temperature values ​​WDj of N1 characteristic regions are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as the temperature evaluation coefficient Xwd; when the temperature evaluation coefficient Xwd is higher, the dew point temperature control of the laboratory is better;

[0079] A1-2: Evaluate the humidity level in the laboratory by preliminary analysis of the integrity and variability of humidity parameters;

[0080] Sa2-3, the humidity parameter includes the humidity values ​​of N1 characteristic areas, the humidity parameter is taken as parameter A, the humidity values ​​SDj of N1 characteristic areas are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as the humidity evaluation coefficient Xsd; when the humidity evaluation coefficient Xsd is higher, the humidity control of the laboratory is better;

[0081] A1-3: Evaluate the airflow level in the laboratory by preliminary analysis of the integrity and variability of airflow parameters;

[0082] Sa2-4, the airflow parameters include the gas flow rate values ​​of N1 characteristic areas, the airflow parameters are taken as parameter A, the gas flow rate values ​​VQj of N1 characteristic areas are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as the airflow evaluation coefficient Xvq; when the airflow evaluation coefficient Xvq is higher, the gas flow rate control of the laboratory is better;

[0083] A2: Substitute the temperature parameter, humidity parameter and airflow parameter into the parameter preprocessing model in sequence, output the corresponding evaluation coefficients respectively, and mark them as temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq in sequence;

[0084] A3: Then, the laboratory environment status is comprehensively evaluated by combining the laboratory temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq;

[0085] S2-2, the specific process of comprehensive evaluation of laboratory environment status is as follows:

[0086] Construct the environmental feature vector P = [Xwd, Xsd, Xvq], collect the environmental feature vector P corresponding to n1 data collection cycles, and thus construct the historical matrix V:

[0087]

[0088] Obtain the floating eigenvector H by averaging the column vectors of the history matrix V: H = [h1 h2 h3];

[0089] Among them, h1 refers to the characteristic value of the temperature evaluation coefficient Xwd, h2 refers to the characteristic value of the humidity evaluation coefficient Xsd, and h3 refers to the characteristic value of the airflow evaluation coefficient Xvq;

[0090] Then, the weight factors of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq are obtained in turn through the proportion of the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq in the floating characteristic vector H;

[0091] The weighting factor of the temperature evaluation coefficient Xwd is labeled g1:

[0092] The weighting factor of the humidity assessment coefficient Xsd is labeled g2:

[0093] The weighting factor of the airflow evaluation coefficient Xvq is labeled g3:

[0094] Then, by combining the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq and their weight factors, the comprehensive index of the laboratory environment Zhj is obtained:

[0095]

[0096] When the characteristic values ​​and weight factors of the temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq are higher, the comprehensive state of the evaluation laboratory environment is better;

[0097] Set the evaluation interval of the laboratory environment comprehensive index Zhj, and evaluate the laboratory environment status by comparing the intervals:

[0098] There are M evaluation intervals of the preset laboratory environment comprehensive index Zhj, and any evaluation interval is marked as Qz, where z is the serial number of the evaluation interval and 1≤z≤M. When the laboratory environment comprehensive index Zhj is in the evaluation interval Qz, the comprehensive state of the laboratory environment is evaluated as level z; the higher the laboratory environment comprehensive index Zhj, the better the comprehensive state of the laboratory environment;

[0099] S2-3, the specific process of preliminary analysis of energy consumption data is as follows:

[0100] The energy consumption data includes the power consumption of N0 devices. Any device is marked as i, and the power consumption of device i is marked as Wi;

[0101] By combining the power consumption Wi of N0 devices, the energy consumption evaluation coefficient Xnh is obtained:

[0102] Among them, μi refers to the weight coefficient of the power consumption Wi of device i, and μi satisfies greater than

[0103] When the energy consumption assessment coefficient Xnh is higher, it means that the energy consumption level of the laboratory is higher;

[0104] S2-4, the specific generation process of the laboratory energy saving management plan is:

[0105] With the laboratory environment comprehensive index Zhj as the horizontal coordinate and the energy consumption assessment coefficient Xnh as the vertical coordinate, a change curve between the laboratory environment comprehensive index Zhj and the energy consumption assessment coefficient Xnh is constructed, and the change function F(x) is generated through mathematical modeling fitting:

[0106] Change function F(x) = laboratory environment comprehensive index Zhj / energy consumption evaluation coefficient Xnh;

[0107] When the laboratory environment comprehensive index Zhj is higher and the energy consumption evaluation coefficient Xnh is lower, the change function F(x) is higher, indicating that the laboratory environment is better and the energy consumption is lower;

[0108] Set the data calculation period Ts to perform regular calculations on the change function F(x), create a dynamic curve Sf of the change function F(x) and the data calculation period Ts, compare and analyze to obtain the maximum value Fmax of the change function F(x), and use it as the optimal value of the change function F(x), indicating that the laboratory environment and energy consumption are at the optimal balance point. The equipment parameter plan corresponding to the optimal value is the optimal energy consumption control plan in the historical period;

[0109] The equipment parameter solution corresponding to the optimal value moment refers to the equipment parameters of N0 equipment in the laboratory within the data measurement period Ts where the maximum value Fmax is located;

[0110] Then continuously optimize and refresh the value of Fmax: continue to update and extend the dynamic curve Sf according to the data calculation cycle Ts, and compare the value of the change function F(x) obtained in the new data calculation cycle Ts with the Fmax in the historical cycle, and save the larger value. The specific process is as follows:

[0111] The value of the newly acquired change function F(x) is marked as Fxin. If Fxin>Fmax, Fmax is refreshed and replaced with the value of Fxin as the optimal value of the new change function F(x), and the device parameter plan corresponding to the new optimal value is refreshed as the optimal energy consumption control plan; conversely, if Fxin≤Fmax, the Fmax value in the historical period remains unchanged, and the optimal energy consumption control plan is not refreshed;

[0112] Generate corresponding energy-saving control signals according to the optimal energy consumption control scheme, and use the energy-saving control signals to control N0 devices in the laboratory accordingly, so as to configure appropriate control and management facilities for low dew point environment;

[0113] Step 3: The risk analysis unit deeply analyzes and predicts energy consumption risks and generates risk warning signals. The specific operation process is as follows:

[0114] Through in-depth analysis, the energy consumption risk of the laboratory is predicted and corresponding risk warning signals are output;

[0115] The change curve between the laboratory environment comprehensive index Zhj and the energy consumption evaluation coefficient Xnh is marked as Se, and N2 points of the change curve Se are extracted. Any point is marked as R1 (Xr1, Yr1), and the point closest to point R1 is marked as R2 (Xr2, Yr2). The slope Kr1 of point R1 is calculated:

[0116] Then the average value of the slopes of N2 points is calculated to obtain the curve increase rate Ks of the change curve Se:

[0117] The higher the curve increase rate Ks of the change curve Se is, the more significant the growth trend of the change curve Se is;

[0118] By measuring the average value of the ordinates of N2 points of the variation curve Se, the overall coefficient Zs of the curve is obtained:

[0119] When the overall coefficient Zs of the curve is higher, it means that the energy consumption evaluation coefficient Xnh is higher and the energy consumption of the equipment is more serious;

[0120] Then, the vertical coordinate standard deviation of the N2 points of the variation curve Se is calculated to obtain the curve fluctuation coefficient σs:

[0121] When the curve fluctuation coefficient σs is higher, it means that the fluctuation of the curve is more serious and the equipment comprehensive energy consumption index Zzx is more unstable;

[0122] Then, by combining the curve increase rate Ks, the curve overall coefficient Zs and the curve fluctuation coefficient σs of the change curve Se, the laboratory energy consumption risk index Zfx is obtained:

[0123] Zfx=Δt*[λ1*Zs*(1+Ks)+λ2*σs]

[0124] Among them, λ1 and λ2 are the weight coefficients of the curve overall coefficient Zs and the curve fluctuation coefficient σs, respectively, and both λ1 and λ2 are greater than 0; Δt refers to the risk prediction period. When the curve increase rate Ks, the curve overall coefficient Zs and the curve fluctuation coefficient σs of the change curve Se are higher, the laboratory energy consumption risk index Zfx is higher, and as the risk prediction period Δt is longer, the probability of unstable factors affecting energy consumption will increase, which will lead to a higher laboratory energy consumption risk. Therefore, the higher the comprehensive prediction of the laboratory's energy consumption risk level;

[0125] Set the evaluation interval of the laboratory energy consumption risk index Zfx, and evaluate the predicted energy consumption risk level of the laboratory by comparing the intervals:

[0126] There are B evaluation intervals for the preset laboratory energy consumption risk index Zfx. Any evaluation interval is marked as Qb, where b is the serial number of the evaluation interval and 1≤b≤B. When the laboratory energy consumption risk index Zfx is in the evaluation interval Qb, the predicted energy consumption risk level of the evaluation laboratory is level b, and a level b risk warning signal is generated; the higher the laboratory energy consumption risk index Zfx is, the higher the predicted energy consumption risk level of the laboratory is.

[0127] Step 4: The control management unit receives the energy-saving control signal and the risk warning signal and performs corresponding equipment control management;

[0128] When receiving the energy-saving control signal, the N0 devices in the laboratory are regulated accordingly according to the optimal energy consumption control scheme, so as to configure appropriate control management facilities for the low dew point environment and perform corresponding control management;

[0129] When a risk warning signal is received, a corresponding visual display is performed according to the level of the risk warning signal, thereby prompting laboratory managers to implement a control and management plan for a low dew point environment. The control and management plan is to make different degrees of parameter adjustments based on the control and management facilities. The higher the level of the risk warning signal, the greater the amplitude of the parameter adjustment. The specific parameter settings should be carried out by professional technicians in combination with the actual situation of the laboratory;

[0130] It should be noted that the "low dew point" in the present invention is a relative concept, which is a lower dew point required for laboratory compressed gas relative to the ambient pressure dew point. The specific dew point temperature can be adjusted and designed according to actual needs. For example, if the dew point temperature required for the experimental environment is -60°C, appropriate control and management facilities are configured for the low dew point environment, wherein the control and management facilities include an air handling system, a temperature control system, an environmental monitoring system, and safety maintenance measures. The specific process is as follows:

[0131] Air handling system: Configure an appropriate air handling system, including a low-humidity air source and dehumidification equipment, to ensure that the humidity inside the laboratory is maintained within the required low humidity range; the clean air conditioner contains a two-stage rotary dehumidification section. After two-stage rotary dehumidification, the dew point temperature of the supply air can reach -65℃ to -70℃; the clean air conditioner return air duct, valves and accessories are all made of 304 stainless steel and fully welded to ensure that the return air duct does not leak air, so as to ensure that the dew point temperature of the return air L1 point in the process is not greater than -45℃;

[0132] Temperature control system: In a low humidity environment, it may also be affected by temperature, so an appropriate temperature control system needs to be configured to ensure that the temperature in the laboratory is stable within the required range;

[0133] Environmental monitoring system: configure an appropriate environmental monitoring system to monitor the temperature, humidity, oxygen concentration, nitrogen concentration and other parameters in the laboratory to ensure the accuracy of the experimental data. Install high-precision, corrosion-resistant dew point temperature sensors (dew point range -80°C to 20°C, accuracy ±1°C) in the clean area and air conditioning return air mains to ensure the stability of the indoor dew point temperature;

[0134] Safety maintenance measures: Configure corresponding safety measures, such as fire-fighting equipment, explosion-proof equipment, etc. to ensure the safety of the laboratory; select laboratory tables, operating tables, instrument tables, fume hoods and experimental equipment suitable for low-humidity environments to ensure the stability and accuracy of the experimental process; use 100mm thick prefabricated color steel plates as maintenance structures, which are processed and manufactured with high precision by the factory, and assembled and spliced ​​on site to ensure that the air leakage rate of the enclosure structure is extremely low.

[0135] In summary, the present invention monitors and acquires the environmental data and energy consumption data of the laboratory through the data acquisition unit, and performs preliminary analysis through the energy-saving analysis unit, comprehensively evaluates the laboratory environmental status from the temperature level, humidity level and airflow level of the laboratory, and constructs the changing relationship between the laboratory environmental status and the energy consumption level, generates a laboratory energy-saving management plan and energy-saving control signals, and realizes an energy-saving low dew point laboratory environment. The risk analysis unit then deeply analyzes the predicted energy consumption risk of the laboratory and generates a risk warning signal to ensure the low dew point stability of the laboratory, and then receives the signal through the control management unit and performs corresponding equipment control management, thereby ensuring that the humidity inside the laboratory is maintained within the required low humidity range, thereby ensuring the stability and accuracy of the experimental process.

[0136] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0137] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0138] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A laboratory energy-saving control method based on low dew point, characterized in that: The following steps are involved: Step 1: Obtain the laboratory's environmental data and energy consumption data through the data acquisition unit: Environmental data includes temperature parameters, humidity parameters and airflow parameters; set the data collection period Ta to synchronously collect environmental data and energy consumption data; Step 2: Preliminary analysis of environmental data and energy consumption data by the energy-saving analysis unit to generate energy-saving control signals: Preliminary analysis of temperature parameters, humidity parameters and airflow parameters to evaluate the temperature level, humidity level and airflow level of the laboratory in turn, and then comprehensively evaluate the laboratory environmental status; then analyze the energy consumption data to evaluate the laboratory energy consumption level, and then build a change relationship between the laboratory environmental status and energy consumption level, and generate a laboratory energy-saving management plan and corresponding energy-saving control signals; Step 3: Use the risk analysis unit to deeply analyze and predict the energy consumption risk of the laboratory and generate corresponding risk warning signals; Step 4: Receive energy-saving control signals and risk warning signals through the control management unit, and perform corresponding equipment control management.

2. A laboratory energy-saving control method based on low dew point according to claim 1, characterized in that: The specific process of preliminary analysis of environmental data is as follows: A1: Construct parameter preprocessing model to analyze the integrity and differences of parameters: Sa1, input n0 parameter values ​​of parameter A into the parameter preprocessing model, and mark any parameter value as Da; Sa1-1, by averaging n0 parameter values, obtain the overall reference value Cda1 of parameter A to evaluate the integrity of parameter A; Sa1-2, by calculating the variance of n0 parameter values, obtain the difference reference value Cda2 of parameter A and evaluate the difference of parameter A; Sa1-3, by combining the overall reference value Cda1 and the difference reference value Cda of parameter A, the standard value of parameter A is set and marked as φa, thereby obtaining the evaluation coefficient Xa of parameter A; Sa1-4, evaluation coefficient Xa of the output parameter A of the parameter preprocessing model; A2: Substitute the temperature parameter, humidity parameter and airflow parameter into the parameter preprocessing model in sequence, output the corresponding evaluation coefficients respectively, and mark them as temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq in sequence; A3: Then, the laboratory environment status is comprehensively evaluated by combining the laboratory's temperature evaluation coefficient Xwd, humidity evaluation coefficient Xsd and airflow evaluation coefficient Xvq.

3. A laboratory energy-saving control method based on low dew point according to claim 2, characterized in that: The specific processing process of the parameter preprocessing model is: Sa2, marking the environmental data and substituting it into the parameter preprocessing model; Sa2-1, establish a three-dimensional spatial model of the laboratory and divide it into N1 characteristic areas, mark any characteristic area as Zj, and mark the temperature value, humidity value and gas flow rate value of the characteristic area Zj as WDj, SDj and VQj respectively; Sa2-2, the temperature parameter includes the temperature values ​​of N1 characteristic regions, the temperature parameter is taken as parameter A, the temperature values ​​WDj of N1 characteristic regions are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as the temperature evaluation coefficient Xwd; Sa2-3, the humidity parameter includes the humidity values ​​of N1 feature areas, the humidity parameter is taken as parameter A, the humidity values ​​SDj of N1 feature areas are taken as n0 parameter values ​​of parameter A, input into the parameter preprocessing model, the evaluation coefficient Xa of parameter A is output and marked as humidity evaluation coefficient Xsd; Sa2-4, the airflow parameters include the gas flow rate values ​​of N1 characteristic areas. The airflow parameters are taken as parameter A, and the gas flow rate values ​​VQj of N1 characteristic areas are taken as n0 parameter values ​​of parameter A, which are input into the parameter preprocessing model, and the evaluation coefficient Xa of parameter A is output and marked as the airflow evaluation coefficient Xvq.

4. A laboratory energy-saving control method based on low dew point according to claim 3, characterized in that: The specific process of comprehensive assessment of laboratory environment status is as follows: Construct an environmental feature vector P = [Xwd, Xsd, Xvq], collect the environmental feature vectors P corresponding to n1 data collection cycles, and thus construct a historical matrix V; By analyzing the history matrix V, the floating feature vector H is obtained: H = [h1 h2 h3]; Among them, h1 refers to the characteristic value of the temperature evaluation coefficient Xwd, h2 refers to the characteristic value of the humidity evaluation coefficient Xsd, and h3 refers to the characteristic value of the airflow evaluation coefficient Xvq; Then, the weight factors of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq are obtained in turn through the proportion of the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq in the floating characteristic vector H; Then, the comprehensive index Zhj of the laboratory environment is obtained by combining the characteristic values ​​of the temperature evaluation coefficient Xwd, the humidity evaluation coefficient Xsd and the airflow evaluation coefficient Xvq and their weight factors; Set the evaluation interval of the laboratory environment comprehensive index Zhj and evaluate the laboratory environment status through interval comparison.

5. A laboratory energy-saving control method based on low dew point according to claim 4, characterized in that: The specific process of preliminary analysis of energy consumption data to generate laboratory energy saving management plan is as follows: The energy consumption data includes the power consumption of N0 devices. Any device is marked as i, and the power consumption of device i is marked as Wi. The energy consumption evaluation coefficient Xnh is obtained by combining the power consumption Wi of N0 devices. The specific process of generating the laboratory energy-saving management plan is as follows: Construct the change curve between the laboratory environment comprehensive index Zhj and the energy consumption evaluation coefficient Xnh, and generate the change function F(x) through mathematical modeling fitting: Change function F(x) = laboratory environment comprehensive index Zhj / energy consumption evaluation coefficient Xnh; Set the data calculation period Ts to perform regular calculations on the change function F(x), create a dynamic curve Sf of the change function F(x) and the data calculation period Ts, compare and analyze to obtain the maximum value Fmax of the change function F(x), and use it as the optimal value of the change function F(x), indicating that the laboratory environment and energy consumption are at the optimal balance point. The equipment parameter plan corresponding to the optimal value is the optimal energy consumption control plan in the historical period; Then continuously optimize and refresh the value of Fmax: continue to update and extend the dynamic curve Sf according to the data calculation cycle Ts, and compare the value of the change function F(x) obtained in the new data calculation cycle Ts with the Fmax in the historical cycle, and save the larger value; According to the optimal energy consumption control plan, the corresponding energy-saving control signal is generated, and the N0 equipment in the laboratory are regulated accordingly through the energy-saving control signal, so as to configure appropriate control and management facilities for the low dew point environment.

6. A laboratory energy-saving control method based on low dew point according to claim 5, characterized in that: The specific operation process of the risk analysis unit is as follows: The change curve between the laboratory environment comprehensive index Zhj and the energy consumption evaluation coefficient Xnh is marked as Se, N2 points of the change curve Se are extracted, any point is marked as R1 (Xr1, Yr1), the point closest to point R1 is marked as R2 (Xr2, Yr2), and the slope Kr1 of point R1 is calculated; Then, the average value of the slope of N2 points is calculated to obtain the curve increase rate Ks of the change curve Se, and the overall coefficient Zs of the curve is obtained by calculating the average value of the ordinates of N2 points of the change curve Se, and then the standard deviation of the ordinates of N2 points of the change curve Se is calculated to obtain the curve fluctuation coefficient σs, and then the curve increase rate Ks of the change curve Se, the overall coefficient Zs of the curve and the curve fluctuation coefficient σs are combined to obtain the laboratory energy consumption risk index Zfx; Set the evaluation range of the laboratory energy consumption risk index Zfx, and evaluate the predicted energy consumption risk level of the laboratory through interval comparison.

7. A laboratory energy-saving control method based on low dew point according to claim 6, characterized in that: The specific operation process of the control management unit is as follows: When receiving the energy-saving control signal, the N0 devices in the laboratory are regulated accordingly according to the optimal energy consumption control scheme; When a risk warning signal is received, a corresponding visual display is performed according to the level of the risk warning signal, thereby prompting laboratory managers to implement a control and management plan for the low dew point environment.

8. A laboratory energy-saving control system based on low dew point, characterized in that: The system comprises a data acquisition unit, an energy-saving analysis unit, a risk analysis unit and a regulation and management unit, wherein the data acquisition unit, the energy-saving analysis unit, the risk analysis unit and the regulation and management unit are signal-connected, and the system applies a laboratory energy-saving control method based on a low dew point as described in any one of claims 1 to 7.

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