A one-to-six refrigeration and heating control system and a control method thereof

Abstract

The application discloses a one-to-six refrigeration and heating control system and a control method thereof, and relates to the technical field of refrigeration and heating. The refrigeration and heating equipment comprises a refrigeration assembly, a heating assembly, six end assemblies, a pipeline connecting assembly and a safety protection assembly. The pipeline connecting assembly comprises a first pipeline, a second pipeline and a third pipeline. The refrigeration assembly and the heating assembly are connected through the first pipeline. The number of the second pipeline and the third pipeline is six. The refrigeration assembly and the six end assemblies are connected one by one through the six second pipelines. The environmental parameters of the equipment are monitored in real time, and the control parameters are adaptively adjusted according to historical data and environmental changes, so that the temperature of each region tends to be stable. Through scheduling each task, the execution of different tasks can be balanced when the control system simultaneously processes multiple tasks, so as to avoid conflicts or increase processing time when multiple tasks are executed.

Description

Technical Field

[0001] This invention relates to the field of refrigeration and heating technology, and more specifically, to a one-to-six refrigeration and heating control system and its control method. Background Technology

[0002] A one-to-six cooling and heating control system typically refers to a centralized or distributed control system that can simultaneously control one cooling or heating main unit and six terminal devices. This type of system can be used in commercial buildings, industrial facilities, or large residences to optimize energy efficiency and save costs.

[0003] Chinese Patent Application No. 201811517332.1 discloses a one-to-six refrigeration and heating control system, including an expansion tank and multiple controlled devices. The expansion tank and each controlled device are connected in series via a first pipeline, a one-way valve, a pump, an evaporator, a heating element, a second pipeline, a gas-liquid separator, and a third pipeline to form an independent circulation loop. One end of the third pipeline is connected to the first pipeline located between the one-way valve and the pump, and the other end of the third pipeline is connected to the gas-liquid separator. The outlet of the gas-liquid separator is connected to the expansion tank via an exhaust pipe. This invention allows for simultaneous or individual temperature control of multiple controlled devices from a single expansion tank. By setting up one-way valves and independent circulation loops, the temperature control of each controlled device remains independently controlled, preventing temperature cross-contamination. It also saves working space and significantly reduces operating costs.

[0004] However, since the system connects to multiple end devices, uneven energy distribution may occur, resulting in some areas being too cold or too hot. Moreover, existing control systems cannot accurately predict future load changes during use, leading to inaccurate control responses. This technical solution can change the control strategy based on the predicted load changes at the next time point to meet the usage requirements as much as possible. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a one-to-six refrigeration and heating control system and its control method.

[0006] To achieve the above objectives, on the one hand, the present invention proposes a one-to-six refrigeration and heating control system, including refrigeration and heating equipment and a control system;

[0007] The refrigeration and heating equipment includes a refrigeration component, a heating component, six terminal components, a pipe connection component, and a safety protection component;

[0008] The pipe connection assembly includes a first pipe, a second pipe, and a third pipe;

[0009] The refrigeration component and the heating component are connected through the first pipeline. There are six second pipelines and six third pipelines. The refrigeration component and the six terminal components are connected one-to-one through the six second pipelines. The heating component and the six terminal components are connected one-to-one through the six third pipelines.

[0010] The refrigeration and heating equipment also includes six sensor components, which are respectively installed in the areas corresponding to the six end components.

[0011] The control system includes an environmental sensing module, which is used to collect indoor environmental parameters and equipment operating parameters.

[0012] An adjustment module, which is used to adaptively adjust the control parameters of the device;

[0013] The monitoring module is used to monitor the operating status of the equipment in real time, determine whether there are any abnormalities in the equipment, and record abnormal data. Specifically:

[0014] The abnormal indoor temperature value Q in the area where the refrigeration and heating equipment is located is obtained;

[0015] Obtain the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located;

[0016] Obtain the abnormal flow value E inside the refrigeration and heating equipment;

[0017] Obtain the abnormal energy consumption value R of the refrigeration and heating equipment;

[0018] The vibration anomaly value T of the refrigeration and heating equipment is obtained;

[0019] The comprehensive abnormal value U of the refrigeration and heating equipment is obtained according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), where a1, a2, a3, a4 and a5 are preset proportional coefficients;

[0020] The standard deviation σ of the aggregate outliers and the historical average μ of the aggregate outliers were obtained.

[0021] A threshold k for comprehensive anomalies is pre-set. It is determined whether the absolute value of the difference between the comprehensive anomaly value U of the refrigeration and heating equipment at the current time point and the historical average value is greater than k*σ. If it is, it is determined that the refrigeration and heating equipment is abnormal and a signal is generated and transmitted to the adjustment module. If not, it is determined that the refrigeration and heating equipment is working normally.

[0022] A predictive control module is used to predict future load changes in advance and formulate response strategies in a timely manner.

[0023] Preferably, the refrigeration and heating equipment further includes a storage component for storing historical data from six sensor components and a monitoring module; regulating valves and check valves are also installed on the second pipeline and the third pipeline.

[0024] The standard deviation σ of the aggregate outliers is obtained as follows:

[0025] According to the formula The standard deviation σ of the composite outlier is calculated; where N is the total number of historical data points for the composite outlier R, and U i It is the value of the i-th data point.

[0026] Preferably, the adjustment module operates as follows:

[0027] The refrigeration and heating equipment also includes a control component, which is used to adjust the parameters of the refrigeration component, the heating component, the six terminal components, the pipe connection component, and the safety protection component.

[0028] Preferably, the control system includes: an environmental sensing module, which is used to collect indoor environmental parameters and equipment operating parameters;

[0029] An adjustment module, which is used to adaptively adjust the control parameters of the device;

[0030] The monitoring module is used to monitor the operating status of the equipment in real time, determine whether there are any abnormalities in the equipment, and record abnormal data. Specifically:

[0031] The abnormal indoor temperature value Q in the area where the refrigeration and heating equipment is located is obtained;

[0032] Obtain the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located;

[0033] Obtain the abnormal flow value E inside the refrigeration and heating equipment;

[0034] Obtain the abnormal energy consumption value R of the refrigeration and heating equipment;

[0035] The vibration anomaly value T of the refrigeration and heating equipment is obtained;

[0036] The comprehensive abnormal value U of the refrigeration and heating equipment is obtained according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), where a1, a2, a3, a4 and a5 are preset proportional coefficients;

[0037] The standard deviation σ of the aggregate outliers and the historical average μ of the aggregate outliers were obtained.

[0038] A threshold k for comprehensive anomalies is pre-set. It is determined whether the absolute value of the difference between the comprehensive anomaly value U of the refrigeration and heating equipment at the current time point and the historical average value is greater than k*σ. If it is, it is determined that the refrigeration and heating equipment is abnormal and a signal is generated and transmitted to the adjustment module. If not, it is determined that the refrigeration and heating equipment is working normally.

[0039] A predictive control module is used to predict future load changes in advance and formulate response strategies in a timely manner.

[0040] The standard deviation σ of the aggregate outliers is obtained as follows:

[0041] According to the formula The standard deviation σ of the composite outlier is calculated; where N is the total number of historical data points for the composite outlier R, and U i It is the value of the i-th data point;

[0042] After the adjustment module receives the signal from the monitoring module;

[0043] The difference e between the temperature of the refrigeration and heating equipment and the preset temperature threshold is obtained;

[0044] According to the formula The adjustment value ΔH of the temperature parameter of the refrigeration and heating equipment is calculated and obtained, where K P K i and K d Let be the coefficients of the proportional, integral, and differential equations, respectively, and ∫edt be the integral of the deviation e. The rate of change of the deviation;

[0045] The adjustment module controls the transmission of the adjustment value ΔH to the refrigeration and heating equipment for parameter adjustment;

[0046] The adjustment module further includes an adaptation unit, which operates as follows:

[0047] According to the formula The temperature adjustment value ΔS for each terminal device is calculated and obtained. i , where ΔS i ω represents the temperature adjustment value for the i-th device. i This represents the weight coefficient of the i-th terminal device;

[0048] The temperature difference ΔG between the area where the i-th terminal device is located and the areas where the refrigeration device and the heating device are located is obtained. i ;

[0049] According to formula L i =b*ΔG i +c, obtain the environmental adaptation value L of the i-th terminal device. i , where b and c are preset coefficients;

[0050] According to the formula ΔM i =ΔS i *(1+L i ), obtain the temperature adjustment value ΔM after the i-th terminal device adapts. i ;

[0051] The adjustment module controls the temperature adjustment value ΔM after the i-th terminal device has been adapted. i The data is transmitted to the refrigeration and heating equipment for parameter adjustment.

[0052] Preferably, the adjustment module further includes a fault maintenance unit, specifically:

[0053] A second threshold K2 for comprehensive outliers is pre-defined;

[0054] The comprehensive abnormal value R of the refrigeration and heating equipment at the current time point is compared with the second threshold K2. If the comprehensive abnormal value R of the refrigeration and heating equipment at the current time point is greater than the second threshold K2, the fault maintenance unit determines that the refrigeration and heating equipment has a fault.

[0055] The fault maintenance unit transmits signals to the mobile terminal of the maintenance personnel.

[0056] Preferably, the predictive control module operates as follows:

[0057] The load N of the cooling and heating equipment at the next time point is obtained at one-minute intervals. t ;

[0058] Set an upper and lower load threshold in advance;

[0059] The load N at the next time point t Compare the load with the upper and lower thresholds. If the load N t If the load is between the upper and lower thresholds, the device will continue to operate normally. t If the load is greater than or equal to the upper limit threshold, it is determined that the cooling and heating will reach peak load at the next time point, and resources are increased in advance. If the load N t If the load is less than or equal to the lower threshold, it is determined that the cooling and heating will reach a low point in the next time period, and resource usage will be reduced.

[0060] Preferably, at the next time point, the load N of the refrigeration and heating equipmentt The methods for obtaining it are as follows:

[0061] Specifically:

[0062] Obtain the temperature value N1 at the current time point;

[0063] Obtain the load N2 of the refrigeration and heating equipment at the current time point;

[0064] The energy consumption N3 of the refrigeration and heating equipment at the current time point is obtained;

[0065] According to formula N t =β0 + β1*N1 + β2*N2 + β3*N3 + N4, to obtain the load N of the refrigeration and heating equipment at the next time point. t , where β0 is the intercept term, β1, β2 and β3 are the characteristic coefficients, and N4 is the error term.

[0066] Preferably, the predictive control module further includes a scheduling unit, which is used to perform priority scheduling when the system processes multiple tasks simultaneously, specifically:

[0067] Obtain the priority z of each task in the control system;

[0068] The tasks are sorted according to their priority and a fixed time slice is allocated to each task. The control system executes the time slice of each task in turn until the task is completed.

[0069] Preferably, the priority z of each task in the control system is obtained in the following way:

[0070] The task urgency δ1, task dependency δ2, and task risk δ3 of each task in the control system are obtained.

[0071] The priority z of each task in the control system is calculated using the formula z = δ1*I1 + δ2*I2 + δ3, where I1 and I2 are preset proportional coefficients.

[0072] On the other hand, the present invention also proposes a one-to-six cooling and heating control method, comprising the following steps:

[0073] Step 1: Collect indoor environmental parameters and equipment operating parameters, and adaptively adjust the equipment control parameters;

[0074] Step 2: Monitor the equipment's operating status in real time based on the collected parameters, determine if there are any abnormalities in the equipment, and record the abnormal data;

[0075] Step 3: Used to predict future load changes in advance and formulate response strategies in a timely manner;

[0076] The specific method of step two is as follows: Obtain the abnormal temperature value Q in the indoor area where the refrigeration and heating equipment is located; obtain the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located; obtain the abnormal flow rate value E inside the refrigeration and heating equipment; obtain the abnormal energy consumption value R of the refrigeration and heating equipment; obtain the abnormal vibration value T of the refrigeration and heating equipment; obtain the comprehensive abnormal value U of the refrigeration and heating equipment according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T); obtain the standard deviation σ of the comprehensive abnormal value and the historical average value μ of the comprehensive abnormal value; pre-set a threshold k for the comprehensive abnormal value, and determine whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment at the current time point and the historical average value is greater than k*σ. If yes, it is determined that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module; if no, it is determined that the refrigeration and heating equipment is working normally.

[0077] Beneficial effects: By monitoring the environmental parameters of the equipment in real time and adaptively adjusting the control parameters based on historical data and environmental changes, the temperature of each area tends to be stable; by scheduling each task, the execution of different tasks can be balanced when the control system processes multiple tasks at the same time, avoiding conflicts or increased processing time when multiple tasks are executed. Attached Figure Description

[0078] Figure 1 This is a schematic diagram of the refrigeration and heating device of the present invention;

[0079] Figure 2 This is a schematic diagram of the refrigeration and heating control system of the present invention;

[0080] Figure 3 This is a schematic diagram of the cooling and heating control method of the present invention;

[0081] The components include: 1. Refrigeration assembly; 2. Heating assembly; 3. Six terminal assemblies; 4. Regulating valve; 5. Safety protection assembly; 6. First pipeline; 7. Second pipeline; 8. Third pipeline; 9. Sensor assembly; 10. Storage assembly; 11. Control assembly; and 12. One-way valve. Detailed Implementation

[0082] like Figures 1 to 2 As shown: A one-to-six refrigeration and heating control system, including refrigeration and heating equipment and a control system;

[0083] The refrigeration and heating equipment includes a refrigeration component 1, a heating component 2, six terminal components 3, a pipe connection component, and a safety protection component 5;

[0084] The pipe connection assembly includes a first pipe 6, a second pipe 7, and a third pipe 8;

[0085] The refrigeration component 1 and the heating component 2 are connected by the first pipe 6. There are six second pipes 7 and six third pipes 8. The refrigeration component 1 and the six terminal components 3 are connected one-to-one by the six second pipes 7. The heating component 2 and the six terminal components 3 are connected one-to-one by the six third pipes 8.

[0086] The cooling and heating equipment also includes six sensor components 9, which are installed one-to-one in the areas corresponding to the six terminal components 3. It should be noted that by using multiple sensor components 9 to obtain the environmental parameters of the areas where the six terminal components are located, it is beneficial to adaptively adjust the control parameters in the future, so that the temperature of each area tends to be stable.

[0087] It should be noted that, in this embodiment, the refrigeration equipment includes a compressor: the core component of the refrigeration cycle, responsible for compressing the refrigerant; a condenser: where the refrigerant releases heat and changes from a gaseous state to a high-pressure liquid state; an expansion valve: controlling the refrigerant flow rate to achieve refrigerant throttling; and an evaporator: where the refrigerant absorbs heat and changes from a liquid state to a gaseous state.

[0088] The heating equipment includes a heater, which can be an electric heater, a gas boiler, or a heat pump, for providing heat; and a heat exchanger for transferring the heat generated by the heater to a circulating medium.

[0089] The piping connection assembly includes pipes: connecting various modules and conveying refrigerant or heating medium; valves and joints: used to control the flow direction and pressure of the fluid;

[0090] The terminal equipment includes an air conditioner, which is responsible for distributing hot and cold air to various areas;

[0091] The safety protection equipment includes safety devices such as pressure switches, temperature sensors, and overload protection.

[0092] It should also be noted that the pipe connection assembly is used to connect heating equipment, refrigeration equipment and terminal equipment to ensure that the refrigerant and heating medium can flow smoothly inside the equipment;

[0093] It should be noted that, since the system connects to multiple end devices, uneven energy distribution may occur, resulting in some areas being too cold or too hot. According to this technical solution, the environmental parameters of the devices are monitored in real time, and the control parameters are adaptively adjusted based on historical data and environmental changes to make the temperature of each area tend to be stable.

[0094] The control system includes an environmental sensing module, which is used to collect indoor environmental parameters and equipment operating parameters. It should be noted that, in this embodiment, the environmental parameters include indoor temperature, humidity and pressure, etc., and the operating parameters are the flow rate of the medium inside the equipment and the vibration of the equipment, etc. It should also be noted that the indoor environmental parameters and equipment operating parameters are obtained through various sensors.

[0095] An adjustment module, which is used to adaptively adjust the control parameters of the device;

[0096] The monitoring module is used to monitor the operating status of the equipment in real time, determine whether there are any abnormalities in the equipment, and record abnormal data. Specifically:

[0097] The abnormal indoor temperature value Q of the area where the cooling and heating equipment is located is obtained. It should be noted that, in this embodiment, the abnormal temperature value Q can be the difference between the indoor temperature of the current time period and the historical average temperature.

[0098] The abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located is obtained. It should be noted that, in this embodiment, the abnormal pressure value W can be the difference between the indoor pressure in the current time period and the historical average pressure.

[0099] The abnormal flow value E inside the refrigeration and heating equipment is obtained. It should be noted that, in this embodiment, the abnormal flow value E can be the difference between the internal flow of the equipment in the current time period and the historical average flow.

[0100] The energy consumption anomaly value R of the cooling and heating equipment is obtained. It should be noted that, in this embodiment, the energy consumption anomaly value R can be the difference between the equipment energy consumption in the current time period and the historical average energy consumption.

[0101] It should also be noted that the energy consumption of the equipment can be obtained from the reading of the electricity meter corresponding to the refrigeration and heating equipment;

[0102] The vibration anomaly value T of the refrigeration and heating equipment is obtained; it should be noted that, in this embodiment, the value of the vibration anomaly value T can be... Where V X V y V z The vibration velocity of the equipment in the front-back, left-right, and up-down directions is obtained by sensors installed on the equipment;

[0103] The comprehensive abnormal value U of the refrigeration and heating equipment is obtained according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), where a1, a2, a3, a4 and a5 are preset proportional coefficients. It should be noted that the values ​​of a1, a2, a3, a4 and a5 are obtained through staff evaluation. In this embodiment, the values ​​of a1, a2, a3, a4 and a5 can be 0.123, 0.346, 0.098, 0.184 and 0.249.

[0104] It should also be noted that quantifying the state of the equipment based on its specific characteristics and environment can more closely reflect its actual condition, which is beneficial for subsequent analysis.

[0105] The standard deviation σ of the aggregate outliers and the historical average μ of the aggregate outliers were obtained.

[0106] A threshold k for comprehensive anomalies is pre-set. The system determines whether the absolute value of the difference between the current comprehensive anomaly value U of the refrigeration and heating equipment and its historical average value is greater than k*σ. If so, the refrigeration and heating equipment is deemed to be abnormal, and a signal is generated and transmitted to the adjustment module. If not, the refrigeration and heating equipment is deemed to be operating normally. It should be noted that the current comprehensive anomaly value of the equipment is combined with historical data and standard deviation for judgment. The standard deviation is used to determine the normal operating range of the refrigeration and heating equipment. If the real-time comprehensive anomaly value exceeds this range, it indicates that the equipment is operating abnormally.

[0107] A predictive control module is used to predict future load changes in advance and formulate response strategies in a timely manner.

[0108] By monitoring the environmental parameters of the equipment in real time and adaptively adjusting the control parameters based on historical data and environmental changes, the temperature in each area tends to stabilize.

[0109] As an optional embodiment: the refrigeration and heating equipment further includes a storage component 10, which is used to store historical data of six sensor components 9 and a monitoring module; the second pipeline 7 and the third pipeline 8 are also equipped with regulating valves 4 and one-way valves 12;

[0110] The standard deviation σ of the comprehensive outlier is obtained as follows: It should be noted that the calculation of the comprehensive outlier needs to refer to the standard deviation of historical data. This technical solution can be more in line with the actual use case by combining the standard deviation data.

[0111] According to the formula The standard deviation σ of the composite outlier is calculated; where N is the total number of historical data points for the composite outlier R, and Ui It is the value of the i-th data point.

[0112] As an optional embodiment, the specific operation of the adjustment module is as follows:

[0113] The refrigeration and heating equipment also includes a control component 11, which is used to adjust the parameters of the refrigeration component 1, the heating component 2, the six terminal components 3, the regulating valve 4, and the safety protection component 5.

[0114] It should be noted that if the refrigeration and heating equipment malfunctions during use, it needs to be adjusted immediately in real time. This technical solution can adjust the parameters using real-time data from the refrigeration and heating equipment to minimize the impact on its normal operation.

[0115] After the adjustment module receives the signal from the monitoring module;

[0116] The difference e between the temperature of the refrigeration and heating equipment and the preset temperature threshold is obtained;

[0117] According to the formula The adjustment value ΔH of the temperature parameter of the refrigeration and heating equipment is calculated and obtained, where K P K i and K d Let be the coefficients of the proportional, integral, and differential equations, respectively, and ∫edt be the integral of the deviation e. K represents the rate of change of the deviation; it should be noted that K P K i and K d The value of K is obtained by the staff and depends on their experience and the characteristics of the equipment, which determines the degree of response of the refrigeration and heating equipment to deviations. In this embodiment, K... P 2.384, K i 0.862, K d It is 4.581;

[0118] The adjustment module controls the transmission of the adjustment value ΔH to the refrigeration and heating equipment for parameter adjustment. It should be noted that the specific adjustment method can be to add the adjustment value ΔH to the initial temperature of the refrigeration and heating equipment.

[0119] As an optional embodiment: the adjustment module further includes an adaptation unit, and the specific working method of the adaptation unit is as follows: It should be noted that the parameters adjusted during the operation of the refrigeration and heating equipment may be affected by other factors. If the parameters are adjusted directly according to the adjusted parameters, a large error will occur. This technical solution can be more practically used by performing adaptation calculations on the adjusted parameters.

[0120] According to the formula The temperature adjustment value ΔS for each terminal device is calculated and obtained. i , where ΔS i ω represents the temperature adjustment value for the i-th device. i This represents the weight coefficient of the i-th terminal device. It should be noted that the value of the weight coefficient is determined with reference to the importance, usage frequency and energy efficiency of the terminal device. In this embodiment, the weight coefficients of the six terminal devices can be 0.1, 0.2, 0.3, 0.15, 0.15 and 0.1.

[0121] The temperature difference ΔG between the area where the i-th terminal device is located and the areas where the refrigeration device and the heating device are located is obtained. i It should be noted that because there are many terminal devices in different areas, if the technology cannot adapt to the specific characteristics of these areas, there will be significant temperature differences among the terminal devices. This technical solution can adaptively change and adjust parameters based on the different environments in which the terminal devices are located, thereby reducing the temperature differences between the different terminal device areas.

[0122] According to formula L i =b*ΔG i +c, obtain the environmental adaptation value L of the i-th terminal device. i It should be noted that b is a coefficient used to adjust the degree of influence of the difference between outdoor and indoor temperatures on the environmental adaptability factor. The value depends on the system's sensitivity to changes in outdoor temperature. If the system is very sensitive to changes in outdoor temperature, the value of b may be large; conversely, if the system is relatively insensitive, the value of b may be small. The value of b can be determined through historical data analysis, system modeling, or expert experience.

[0123] C is another coefficient used to account for environmental factors other than the difference between outdoor and indoor temperatures, or as a benchmark for adjusting environmental adaptation factors. For example, if humidity is high, it may be necessary to increase the indoor temperature setting to maintain the same level of comfort. This can be achieved by increasing the value of c, which can also be determined through data analysis, system modeling, or expert experience.

[0124] According to the formula ΔM i =ΔS i *(1+L i ), obtain the temperature adjustment value ΔM after the i-th terminal device adapts. i ;

[0125] The adjustment module controls the temperature adjustment value ΔM after the i-th terminal device has been adapted. i The data is transmitted to the refrigeration and heating equipment for parameter adjustment.

[0126] As an optional embodiment: the adjustment module further includes a fault maintenance unit, specifically: it should be noted that when the abnormality of the refrigeration and heating equipment reaches the critical point, it needs to be maintained quickly. This technical solution can quickly react and maintain the equipment in a short time by monitoring the status of the refrigeration and heating equipment in real time, thereby reducing losses.

[0127] A second threshold K2 for comprehensive anomalies is pre-set. It should be noted that the second threshold K2 is a critical value for anomalies of the refrigeration and heating equipment set by the staff based on historical data. If the comprehensive anomaly value is greater than the critical value, it indicates that there is a malfunction in the operation of the refrigeration and heating equipment, which requires not only parameter adjustment but also maintenance.

[0128] The comprehensive abnormal value R of the refrigeration and heating equipment at the current time point is compared with the second threshold K2. If the comprehensive abnormal value R of the refrigeration and heating equipment at the current time point is greater than the second threshold K2, the fault maintenance unit determines that the refrigeration and heating equipment has a fault.

[0129] The fault maintenance unit transmits signals to the mobile terminal of the maintenance personnel. It should be noted that the maintenance personnel are pre-selected staff.

[0130] As an optional embodiment: the specific working method of the predictive control module is as follows: It should be noted that the existing control system cannot accurately predict future load changes during use, resulting in insufficient control response. This technical solution can change the control strategy according to the predicted load change at the next time point to meet the usage requirements as much as possible.

[0131] The load N of the cooling and heating equipment at the next time point is obtained at one-minute intervals. t ;

[0132] Set an upper and lower limit threshold for the load in advance; it should be noted that the upper and lower thresholds are two critical thresholds for the device, and the upper threshold is greater than the lower threshold.

[0133] The load N at the next time point t Compare the load with the upper and lower thresholds. If the load N t If the load is between the upper and lower thresholds, the device will continue to operate normally. t If the load is greater than or equal to the upper limit threshold, it is determined that the cooling and heating will reach peak load at the next time point, and resources are increased in advance. If the load N tIf the load is less than or equal to the lower threshold, it is determined that the cooling and heating will reach a low point in the next time period, and resource usage will be reduced. It should be noted that increasing resources can include increasing the number of operating cooling equipment, while reducing resource usage can include reducing the number of operating cooling equipment.

[0134] It should also be noted that by obtaining future load forecasts in advance, resource allocation can be optimized and equipment operation plans can be adjusted to meet the needs of different time periods.

[0135] As an optional embodiment: the load N of the refrigeration and heating equipment at the next time point t The methods for obtaining it are as follows:

[0136] Obtain the temperature value N1 at the current time point;

[0137] Obtain the load N2 of the refrigeration and heating equipment at the current time point;

[0138] The energy consumption N3 of the refrigeration and heating equipment at the current time point is obtained;

[0139] According to formula N t =β0 + β1*N1 + β2*N2 + β3*N3 + N4, to obtain the load N of the refrigeration and heating equipment at the next time point. t Where β0 is the intercept term, β1, β2 and β3 are the coefficients of the features, and N4 is the error term; it should be noted that the error term represents the random variation and noise that the overall system cannot explain. In this embodiment, it can be obtained by calculating the error between the current actual observation value and the predicted value after prediction. The intercept term is the predicted value of the prediction control module when all variables are zero. The coefficients of the features are the expected change of the dependent variable when each independent variable changes. In this embodiment, it can be obtained by the least squares method. In this embodiment, the intercept term β0 can be 50, and the values ​​of β1, β2 and β3 can be 0.2, 0.8 and 0.1, respectively.

[0140] As an optional embodiment: the predictive control module further includes a scheduling unit, which is used to perform priority scheduling when the system processes multiple sets of tasks simultaneously. Specifically: it should be noted that when the system processes multiple sets of tasks simultaneously, the processing time may increase due to the overlap and interleaving of task times. This technical solution can balance the execution of different tasks when the control system processes multiple tasks simultaneously by scheduling each task, thereby avoiding conflicts or increased processing time when multiple tasks are executed.

[0141] The priority z of each task of the control system is obtained; it should be noted that, in this embodiment, the tasks of the control system can be three types: monitoring equipment operating status, fault handling, and prediction.

[0142] The tasks are sorted according to priority and each task is allocated a fixed time slice. The control system executes each task's time slice in turn until the task is completed. It should be noted that the time slice for each task is obtained in advance by staff based on historical data, such as the average completion time of the task in historical data.

[0143] As an optional embodiment, the priority z of each task in the control system is obtained in the following way:

[0144] The task urgency δ1, task dependency δ2, and task risk δ3 of each task in the control system are obtained.

[0145] The priority z of each task in the control system is calculated using the formula z = δ1*I1 + δ2*I2 + δ3, where I1 and I2 are preset proportional coefficients. It should be noted that in this embodiment, the values ​​of I1 and I2 can be 0.487 and 0.513, respectively.

[0146] On the other hand, such as Figure 3 As shown: This invention also proposes a one-to-six cooling and heating control method, including the following steps:

[0147] Step 1: Collect indoor environmental parameters and equipment operating parameters, and adaptively adjust the equipment control parameters;

[0148] Step 2: Monitor the equipment's operating status in real time based on the collected parameters, determine if there are any abnormalities in the equipment, and record the abnormal data;

[0149] Step 3: Used to predict future load changes in advance and formulate response strategies in a timely manner;

[0150] The specific method of step two is as follows: Obtain the abnormal temperature value Q in the indoor area where the refrigeration and heating equipment is located; obtain the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located; obtain the abnormal flow rate value E inside the refrigeration and heating equipment; obtain the abnormal energy consumption value R of the refrigeration and heating equipment; obtain the abnormal vibration value T of the refrigeration and heating equipment; obtain the comprehensive abnormal value U of the refrigeration and heating equipment according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T); obtain the standard deviation σ of the comprehensive abnormal value and the historical average value μ of the comprehensive abnormal value; pre-set a threshold k for the comprehensive abnormal value, and determine whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment at the current time point and the historical average value is greater than k*σ. If yes, it is determined that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module; if no, it is determined that the refrigeration and heating equipment is working normally.

[0151] Working principle:

[0152] By monitoring the environmental parameters of the equipment in real time and adaptively adjusting the control parameters based on historical data and environmental changes, the temperature of each area tends to stabilize. By scheduling each task, the execution of different tasks can be balanced when the control system processes multiple tasks simultaneously, avoiding conflicts or increased processing time when multiple tasks are executed.

[0153] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of this template.

Claims

1. A one-to-six refrigeration and heating control system, characterized in that, Including refrigeration and heating equipment and control systems; The refrigeration and heating equipment includes a refrigeration component (1), a heating component (2), six terminal components (3), a pipe connection component, and a safety protection component (5); The pipe connection assembly includes a first pipe (6), a second pipe (7) and a third pipe (8); The refrigeration component (1) and the heating component (2) are connected by the first pipe (6), and there are six second pipes (7) and six third pipes (8). The refrigeration component (1) and the six terminal components (3) are connected one-to-one by six second pipes (7), and the heating component (2) and the six terminal components (3) are connected one-to-one by six third pipes (8). The refrigeration and heating equipment also includes six sensor components (9), which are installed one-to-one in the areas corresponding to the six end components (3); The control system includes an environmental sensing module, which is used to collect indoor environmental parameters and equipment operating parameters. An adjustment module, which is used to adaptively adjust the control parameters of the device; The monitoring module is used to monitor the operating status of the equipment in real time, determine whether there are any abnormalities in the equipment, and record abnormal data. Specifically: The abnormal indoor temperature value Q in the area where the refrigeration and heating equipment is located is obtained; Obtain the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located; Obtain the abnormal flow value E inside the refrigeration and heating equipment; Obtain the abnormal energy consumption value R of the refrigeration and heating equipment; The vibration anomaly value T of the refrigeration and heating equipment is obtained; According to the formula The comprehensive abnormal value U of the refrigeration and heating equipment is obtained, wherein , , , and This is a preset proportional coefficient; Obtain the standard deviation of the composite outliers. and the historical average of the combined outliers ; A threshold k for comprehensive anomalies is pre-defined, and the absolute value of the difference between the comprehensive anomaly value U of the refrigeration and heating equipment at the current time point and the historical average value is determined to be greater than 1. If yes, it is determined that the refrigeration and heating equipment is malfunctioning, and a signal is generated and transmitted to the adjustment module; otherwise, it is determined that the refrigeration and heating equipment is working normally. A predictive control module is used to predict future load changes in advance and formulate response strategies in a timely manner. Obtain the standard deviation of the composite outliers. The methods for obtaining it are as follows: According to the formula The standard deviation of the comprehensive outliers is calculated. Where N is the total number of historical data points collected for the comprehensive outlier R. It is the value of the i-th data point; After the adjustment module receives the signal from the monitoring module; The difference e between the temperature of the refrigeration and heating equipment and the preset temperature threshold is obtained; According to the formula The adjustment values ​​of the temperature parameters of the refrigeration and heating equipment are calculated and obtained. ,in , and These are the coefficients of the proportional, integral, and derivative equations, respectively. The integral of the deviation e The rate of change of the deviation; The adjustment module controls the transmission of adjustment values ​​to the refrigeration and heating equipment for parameter adjustment; The adjustment module further includes an adaptation unit, which operates as follows: According to the formula The temperature adjustment value for each terminal device is calculated and obtained. ,in This represents the temperature adjustment value for the i-th device. This represents the weight coefficient of the i-th terminal device; The temperature difference between the area where the i-th terminal device is located and the area where the refrigeration / heating device is located is obtained. ; According to the formula Obtain the environmental adaptation value of the i-th terminal device. , where b and c are preset coefficients; According to the formula Obtain the temperature adjustment value after adaptation for the i-th terminal device. ; The adjustment module controls the temperature adjustment value after the i-th terminal device has adapted. The data is transmitted to the refrigeration and heating equipment for parameter adjustment.

2. The one-to-six refrigeration and heating control system according to claim 1, characterized in that, The refrigeration and heating equipment also includes a storage component (10) for storing historical data of six sensor components (9) and a monitoring module; the second pipeline (7) and the third pipeline (8) are also equipped with regulating valves (4) and one-way valves (12).

3. The one-to-six refrigeration and heating control system according to claim 1, characterized in that, The specific working principle of the adjustment module is as follows: The refrigeration and heating equipment also includes a control component (11), which is used to adjust the parameters of the refrigeration component (1), the heating component (2), the six terminal components (3), the regulating valve (4) and the safety protection component (5).

4. A one-to-six refrigeration and heating control system according to claim 1, characterized in that, The adjustment module also includes a fault maintenance unit, specifically: A second threshold for comprehensive outliers is set in advance. ; The comprehensive anomaly value R and the second threshold of the refrigeration and heating equipment at the current time point are used. By comparison, if the comprehensive anomaly value R of the refrigeration and heating equipment at the current time point is greater than the second threshold... The fault maintenance unit then determines that the refrigeration and heating equipment has a fault; The fault maintenance unit transmits signals to the mobile terminal of the maintenance personnel.

5. A one-to-six refrigeration and heating control system according to claim 1, characterized in that, The predictive control module operates as follows: The load of the refrigeration and heating equipment at the next time point is obtained at one-minute intervals. ; Set an upper and lower load threshold in advance; Load at the next time point Compare the load with the upper and lower thresholds. If the load... If the load is between the upper and lower thresholds, the device will continue to operate normally; if the load... If the load is greater than or equal to the upper limit threshold, it is determined that the cooling and heating will reach peak load at the next time point, and resources will be increased in advance. If the load... If the load is less than or equal to the lower threshold, it is determined that the cooling and heating will reach a low point in the next time period, and resource usage will be reduced.

6. A one-to-six refrigeration and heating control system according to claim 5, characterized in that, The load of the refrigeration and heating equipment at the next time point The methods for obtaining it are as follows: Get the temperature value at the current time point. ; Obtain the load of the refrigeration and heating equipment at the current time point. ; The energy consumption of the refrigeration and heating equipment at the current time point is obtained. ; According to the formula The load of the cooling and heating equipment at the next time point is obtained. ,in For the intercept term, , and The coefficients of the characteristic, This is the error term.

7. A one-to-six refrigeration and heating control system according to claim 1, characterized in that, The predictive control module also includes a scheduling unit, which is used to perform priority scheduling when the system processes multiple groups of tasks simultaneously, specifically: Obtain the priority of each task in the control system. ; The tasks are sorted according to their priority and a fixed time slice is allocated to each task. The control system executes the time slice of each task in turn until the task is completed.

8. A one-to-six refrigeration and heating control system according to claim 7, characterized in that, The priority of each task in the control system The methods for obtaining it are as follows: Obtain the task urgency of each task in the control system. Task dependency and mission risk ; According to the formula The priorities of each task in the control system are calculated and obtained. ,in and This is a preset scaling factor.

9. A method for controlling refrigeration and heating from one to six systems, characterized in that, The refrigeration and heating control system according to any one of claims 1-8 includes the following steps: Step 1: Collect indoor environmental parameters and equipment operating parameters, and adaptively adjust the equipment control parameters; Step 2: Monitor the equipment's operating status in real time based on the collected parameters, determine if there are any abnormalities in the equipment, and record the abnormal data; Step 3: Used to predict future load changes in advance and formulate response strategies in a timely manner; The specific method of step two is as follows: obtaining the abnormal temperature value Q in the indoor area where the refrigeration and heating equipment is located; obtaining the abnormal pressure value W in the indoor area where the refrigeration and heating equipment is located; obtaining the abnormal flow rate value E inside the refrigeration and heating equipment; obtaining the abnormal energy consumption value R of the refrigeration and heating equipment; obtaining the abnormal vibration value T of the refrigeration and heating equipment; and according to the formula... The comprehensive outlier value U of the refrigeration and heating equipment is obtained; the standard deviation of the comprehensive outlier value is obtained. and the historical average of the combined outliers A threshold k for comprehensive anomalies is pre-defined. The absolute value of the difference between the current comprehensive anomaly value U of the refrigeration and heating equipment and its historical average value is determined to be greater than [a certain threshold value]. If yes, it is determined that the refrigeration and heating equipment is malfunctioning, and a signal is generated and transmitted to the adjustment module; otherwise, it is determined that the refrigeration and heating equipment is working normally.

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