One-driving-six refrigerating and heating control system and control method thereof

Abstract

The invention discloses a one-driving-six refrigerating and heating control system and a control method thereof, and relates to the technical field of refrigerating and heating, and refrigerating and heating equipment comprises a refrigerating assembly, a heating assembly, six tail 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 refrigerating assembly and the heating assembly are connected through the first pipeline, the number of the second pipelines and the number of the third pipelines are six, and the refrigerating assembly and the six tail end assemblies are connected through the six second pipelines in a one-to-one correspondence mode. 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 area tends to be stable; by scheduling each task, execution of different tasks can be balanced when a control system processes multiple tasks at the same time, and conflicts or increase of processing time during execution of the multiple tasks are avoided.

Description

Technical Field

[0001] The present invention relates to the field of refrigeration and heating technology, and more specifically, to a one-to-six refrigeration and heating control system and a control method thereof. Background Art

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

[0003] The Chinese patent application number 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 by a first pipeline, a one-way valve, a pump, an evaporator, a heating tube, 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 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 through an exhaust pipe. The present invention can be used to achieve temperature control of multiple controlled devices simultaneously or individually by one expansion tank. By setting a one-way valve and an independent circulation loop, the temperature control of each controlled device is always in an independent control state, avoiding the phenomenon of temperature crossover. It saves working space and greatly reduces the cost of use.

[0004] However, since the system is connected to multiple terminal devices, uneven energy distribution may occur, causing some areas to be overcooled or overheated. In addition, the existing control system cannot accurately predict future load changes during use, resulting in inaccurate control response. This technical solution can change the control strategy based on the load changes predicted at the next time point to meet usage requirements as much as possible. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a one-to-six refrigeration and heating control system and a control method thereof.

[0006] In order to achieve the above-mentioned object, on the one hand, the present invention proposes a one-to-six refrigeration and heating control system, including a refrigeration and heating device and a control system;

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

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

[0009] The refrigeration component and the heating component are connected via the first pipeline, the number of the second pipeline and the third pipeline is six, the refrigeration component and the six terminal components are connected via the six second pipelines in a one-to-one correspondence, and the heating component and the six terminal components are connected via the six third pipelines in a one-to-one correspondence;

[0010] The refrigeration and heating device further comprises six sensor components, and the six sensor components are respectively installed in the areas corresponding to the six terminal components in a one-to-one correspondence;

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

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

[0013] The monitoring module is used to monitor the operation status of the equipment in real time, determine whether the equipment has any abnormalities, and record abnormal data, specifically:

[0014] Obtain an abnormal temperature value Q in the room where the refrigeration and heating equipment is located;

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

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

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

[0018] Obtaining a vibration abnormality value T of the refrigeration and heating equipment;

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

[0020] Obtaining the standard deviation σ of the comprehensive abnormal value and the historical average μ of the comprehensive abnormal value;

[0021] A threshold k of the comprehensive abnormal value is set in advance, and it is judged whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment is abnormal, and a signal is generated and transmitted to the adjustment module. If no, it is judged that the refrigeration and heating equipment is working normally.

[0022] The prediction 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 device further comprises a storage component, and the storage component is used to store historical data of the six sensor components and the monitoring module; the second pipeline and the third pipeline are also equipped with a regulating valve and a one-way valve;

[0024] The method for obtaining the standard deviation σ of the comprehensive abnormal value is as follows:

[0025] According to the formula Calculate and obtain the standard deviation σ of the comprehensive outlier value; where N is the total number of historical data points of the comprehensive outlier value R, U i is the value of the ith data point.

[0026] Preferably, the specific working mode of the adjustment module is 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 pipeline connection component and the safety protection component.

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

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

[0030] The monitoring module is used to monitor the operation status of the equipment in real time, determine whether the equipment has any abnormalities, and record abnormal data, specifically:

[0031] Obtain an abnormal temperature value Q in the room where the refrigeration and heating equipment is located;

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

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

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

[0035] Obtaining a vibration abnormality value T of the refrigeration and heating equipment;

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

[0037] Obtaining the standard deviation σ of the comprehensive abnormal value and the historical average μ of the comprehensive abnormal value;

[0038] A threshold k of the comprehensive abnormal value is set in advance, and it is judged whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment is abnormal, and a signal is generated and transmitted to the adjustment module. If no, it is judged that the refrigeration and heating equipment is working normally.

[0039] A prediction control module, which is used to predict future load changes in advance and formulate response strategies in a timely manner;

[0040] The method for obtaining the standard deviation σ of the comprehensive abnormal value is as follows:

[0041] According to the formula Calculate and obtain the standard deviation σ of the comprehensive outlier value; where N is the total number of historical data points of the comprehensive outlier value R, U i is the value of the ith data point;

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

[0043] Obtaining a difference e between the temperature of the refrigeration and heating device and a preset temperature threshold;

[0044] According to the formula Calculate and obtain the adjustment value ΔH of the temperature parameter of the refrigeration and heating equipment, where K P , K i and K d are the coefficients of proportion, integration and differentiation respectively, ∫edt is the integral of the deviation e, is the rate of change of the deviation;

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

[0046] The adjustment module also includes an adaptation unit, and the specific working mode of the adaptation unit is as follows:

[0047] According to the formula Calculate and obtain the temperature adjustment value ΔS of each terminal device i , where ΔS i represents the temperature adjustment value of the i-th device, ω i Represents the weight coefficient of the i-th terminal device;

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

[0049] According to the formula L i =b*ΔG i +c, obtain the environmental adaptability 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 ), and 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 is adapted i 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 value K2 of the comprehensive abnormal value is set in advance;

[0054] Compare the comprehensive abnormal value R of the refrigeration and heating device at the current time point with the second threshold value K2, if the comprehensive abnormal value R of the refrigeration and heating device at the current time point is greater than the second threshold value K2, the fault maintenance unit determines that the refrigeration and heating device has a fault;

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

[0056] Preferably, the specific working mode of the prediction control module is as follows:

[0057] At one minute intervals, the load N of the refrigeration and heating equipment at the next time point is obtained. t ;

[0058] An upper and lower load threshold are set in advance;

[0059] The load N at the next time point t Compare with the upper and lower thresholds of the load. If the load N t If the load N is between the upper and lower thresholds, the normal operation of the equipment is maintained. t If the load is greater than or equal to the upper threshold, it is determined that the cooling and heating load will reach the peak at the next time point, and resources are added in advance. t If it is less than or equal to the lower threshold, it is determined that the cooling and heating load will reach a low point at the next time point, and resource usage is reduced.

[0060] Preferably, the load N of the refrigeration and heating equipment at the next time pointt The way to obtain is as follows:

[0061] Specifically:

[0062] Get 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] Obtain the energy consumption N3 of the refrigeration and heating equipment at the current time point;

[0065] According to the 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 characteristics, and N4 is the error term.

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

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

[0068] The tasks are sorted according to their priority levels, 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 of the control system is obtained as follows:

[0070] Obtaining the task urgency δ1, task dependency δ2 and task risk δ3 of each task of the control system;

[0071] According to the formula z=δ1*I1+δ2*I2+δ3, the priority z of each task of the control system is calculated and obtained, wherein I1 and I2 are preset proportional coefficients.

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

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

[0074] Step 2: Monitor the equipment operation status in real time based on the collected parameters, determine whether the equipment is abnormal, 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 2 is to obtain the temperature abnormality value Q in the room where the refrigeration and heating equipment is located; obtain the pressure abnormality value W in the room where the refrigeration and heating equipment is located; obtain the flow abnormality value E inside the refrigeration and heating equipment; obtain the energy consumption abnormality value R of the refrigeration and heating equipment; obtain the vibration abnormality value T of the refrigeration and heating equipment; according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), obtain the comprehensive abnormality value U of the refrigeration and heating equipment; obtain the standard deviation σ of the comprehensive abnormality value and the historical average value μ of the comprehensive abnormality value; set a threshold value k of the comprehensive abnormality value in advance, and judge whether the absolute value of the difference between the comprehensive abnormality value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module. If not, it is judged that the refrigeration and heating equipment is working normally.

[0077] Beneficial effects: By real-time monitoring of the environmental parameters of the equipment and adaptively adjusting the control parameters according to 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 increasing processing time when multiple tasks are executed. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

[0081] Among them, 1. Refrigeration component; 2. Heating component; 3. Six terminal components; 4. Adjusting valve; 5. Safety protection component; 6. First pipeline; 7. Second pipeline; 8. Third pipeline; 9. Sensor component; 10. Storage component; 11. Control component; 12. One-way valve. DETAILED DESCRIPTION

[0082] like Figure 1 to Figure 2 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 comprises a refrigeration component 1, a heating component 2, six terminal components 3, a pipeline connection component and a safety protection component 5;

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

[0085] The refrigeration component 1 and the heating component 2 are connected via the first pipeline 6, the number of the second pipeline 7 and the third pipeline 8 is six, the refrigeration component 1 and the six terminal components 3 are connected in a one-to-one correspondence via the six second pipelines 7, and the heating component 2 and the six terminal components 3 are connected in a one-to-one correspondence via the six third pipelines 8;

[0086] The refrigeration and heating device further includes six sensor components 9, which are respectively installed in the areas corresponding to the six terminal components 3. It should be noted that the environmental parameters of the areas where the six terminal components are located are obtained by using multiple sensor components 9, which is conducive to the subsequent adaptive adjustment of control parameters 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: the refrigerant releases heat here and changes from gas to high-pressure liquid; an expansion valve: controls the refrigerant flow rate and realizes the throttling of the refrigerant; an evaporator: the refrigerant absorbs heat here and changes from liquid to gas;

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

[0089] The pipeline connection assembly includes pipelines: 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, overload protection, etc.

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

[0093] It should be noted that since the system is connected to multiple terminal devices, there may be an uneven energy distribution problem, resulting in overcooling or overheating in some areas. According to the technical solution, 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 area tends to be stable;

[0094] The control system includes: an environment 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, pressure and other parameters, 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, the adjustment module is used to adaptively adjust control parameters of the device;

[0096] The monitoring module is used to monitor the operation status of the equipment in real time, determine whether the equipment has any abnormalities, and record abnormal data, specifically:

[0097] Obtaining an abnormal temperature value Q of the room in the area where the refrigeration and heating equipment is located; it should be noted that, in this embodiment, the value of the abnormal temperature value Q may be the difference between the indoor temperature in the current time period and the historical average temperature;

[0098] Obtaining an abnormal pressure value W in the room where the refrigeration and heating equipment is located; it should be noted that, in this embodiment, the value of the abnormal pressure value W may be the difference between the indoor pressure in the current time period and the historical average pressure;

[0099] Obtaining the flow abnormality value E inside the refrigeration and heating device; it should be noted that, in this embodiment, the value of the flow abnormality value E may be the difference between the flow inside the device in the current time period and the historical average flow;

[0100] Obtaining an abnormal energy consumption value R of the refrigeration and heating equipment; it should be noted that, in this embodiment, the abnormal energy consumption value R may be a 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 based on the reading of the electric meter corresponding to the cooling and heating equipment;

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

[0103] According to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), the comprehensive abnormal value U of the refrigeration and heating equipment is obtained, wherein 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 evaluation by the staff. 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 by quantifying the status of the equipment according to the specific characteristics and environment of the refrigeration and heating equipment, we can get closer to the actual situation of the equipment, which is beneficial for subsequent analysis;

[0105] Obtaining the standard deviation σ of the comprehensive abnormal value and the historical average μ of the comprehensive abnormal value;

[0106] A threshold value k of the comprehensive abnormal value is set in advance, and it is judged whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If so, it is judged that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module. If not, it is judged that the refrigeration and heating equipment is working normally. It should be noted that the comprehensive abnormal value of the equipment at the current time is judged in combination with historical data and standard deviation, and the normal operation range of the refrigeration and heating equipment is determined by the standard deviation. If the real-time comprehensive abnormal value exceeds this range, it indicates that the equipment is operating abnormally.

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

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

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

[0110] The method for obtaining the standard deviation σ of the comprehensive abnormal value is as follows: It should be noted that the calculation of the comprehensive abnormal value needs to refer to the standard deviation of historical data. This technical solution can be more in line with actual usage by combining the data calculation of the standard deviation;

[0111] According to the formula Calculate and obtain the standard deviation σ of the comprehensive outlier value; where N is the total number of historical data points of the comprehensive outlier value R, Ui is the value of the ith data point.

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

[0113] The refrigeration and heating device further comprises a control component 11, and the control component 11 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 is abnormal during use, it is necessary to make real-time adjustments immediately. The technical solution can adjust the parameters through the real-time data of the refrigeration and heating equipment to minimize the impact on the normal use of the refrigeration and heating equipment.

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

[0116] Obtaining a difference e between the temperature of the refrigeration and heating device and a preset temperature threshold;

[0117] According to the formula Calculate and obtain the adjustment value ΔH of the temperature parameter of the refrigeration and heating equipment, where K P , K i and K d are the coefficients of proportion, integration and differentiation respectively, ∫edt is the integral of the deviation e, is the rate of change of the deviation; it should be noted that K P , K i and K d The value of is obtained by the staff, depending on experience and the characteristics of the equipment, and determines the degree of response of the refrigeration and heating equipment to the deviation. In this embodiment, K P 2.384, K i is 0.862, K d is 4.581;

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

[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. The technical solution can be more practical by adaptively calculating the adjusted parameters.

[0120] According to the formula Calculate and obtain the temperature adjustment value ΔS of each terminal device i , where ΔS i represents the temperature adjustment value of the i-th device, ω i represents the weight coefficient of the i-th terminal device; it should be noted that the value of the weight coefficient refers to the importance, frequency of use and energy efficiency of the terminal device. In this embodiment, the values ​​of the weight coefficients of the six terminal devices can be 0.1, 0.2, 0.3, 0.15, 0.15 and 0.1;

[0121] Obtain the temperature difference ΔG between the area where the i-th terminal device is located and the area where the refrigeration device and the heating device are located i ; It should be noted that, because there are multiple terminal devices and they are located in different areas, if the particularities of multiple areas cannot be adapted, the temperature differences of multiple terminal devices will be large. This technical solution can adaptively change the adjustment parameters according to the different environments of different terminal devices to reduce the temperature differences in different terminal device areas;

[0122] According to the formula L i =b*ΔG i +c, obtain the environmental adaptability 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 temperature and indoor temperature on the environmental adaptation factor. The value depends on the sensitivity of the system to the change of outdoor temperature. If the system is very sensitive to the change of outdoor temperature, the value of b may be large. On the contrary, if the system is relatively insensitive, the value of b may be small. The value of b can be determined by historical data analysis, system modeling or expert experience.

[0123] C is another coefficient that can be used to consider other environmental factors besides the difference between outdoor and indoor temperatures, or to adjust the baseline value of the environmental adaptation factor. For example, if the humidity is high, the indoor temperature setting may need to be increased to maintain the same comfort level, which 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 ), and 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 is adapted i Transmitted to the refrigeration and heating equipment for parameter adjustment.

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

[0127] A second threshold value K2 of the comprehensive abnormal value is set in advance; it should be noted that the second threshold value K2 is a critical value of the abnormal value of the refrigeration and heating equipment set by the staff according to historical data. If the comprehensive abnormal value is greater than the critical value, it means that there is a fault in the operation of the refrigeration and heating equipment, and not only the parameters need to be adjusted, but also maintenance is required;

[0128] Compare the comprehensive abnormal value R of the refrigeration and heating device at the current time point with the second threshold value K2, if the comprehensive abnormal value R of the refrigeration and heating device at the current time point is greater than the second threshold value K2, the fault maintenance unit determines that the refrigeration and heating device has a fault;

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

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

[0131] At one minute intervals, the load N of the refrigeration and heating equipment at the next time point is obtained. t ;

[0132] An upper threshold and a lower threshold of the load are set in advance; it should be noted that the upper threshold and the lower threshold are two critical thresholds of the device, and the upper threshold is greater than the lower threshold;

[0133] The load N at the next time point t Compare with the upper and lower thresholds of the load. If the load N t If the load N is between the upper and lower thresholds, the normal operation of the equipment is maintained. t If the load is greater than or equal to the upper threshold, it is determined that the cooling and heating load will reach the peak at the next time point, and resources are added in advance. tIf the load is less than or equal to the lower threshold, it is determined that the cooling and heating load reaches a low point at the next time point, and resource usage is reduced. It should be noted that increasing resources may include increasing the number of operating refrigeration equipment, and reducing resource usage may include reducing the number of operating refrigeration equipment;

[0134] It should also be noted that by obtaining the future load forecast value in advance, resource allocation can be optimized and the operation plan of the equipment 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 method of obtaining is as follows:

[0136] Get 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] Obtain the energy consumption N3 of the refrigeration and heating equipment at the current time point;

[0139] According to the 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 feature, 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, and in this embodiment, it can be obtained by performing error calculation on the current actual observed value and the predicted value after prediction, the intercept term is the predicted value of the predictive control module when all variables are zero, and the coefficient of the feature is the expected change in the dependent variable each time the respective variables change, and in this embodiment, it can be obtained by the least squares method, and in this embodiment, the value of the intercept term β0 can be 50, and the values ​​of β1, β2 and β3 can be 0.2, 0.8 and 0.1.

[0140] As an optional embodiment: the prediction control module also includes a scheduling unit, which is used to schedule priorities when the system processes multiple groups of tasks at the same time. Specifically, it should be noted that when the system processes multiple groups of tasks at the same time, the processing time may increase due to the time overlap of the tasks. By scheduling each task, the technical solution can balance the execution of different tasks when the control system processes multiple tasks at the same time, avoiding conflicts or increasing the processing time when multiple tasks are executed;

[0141] Obtaining the priority z of each task of the control system; it should be noted that, in this embodiment, the tasks of the control system may be three tasks: monitoring the operating status of equipment, handling faults, and predicting faults;

[0142] 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. It should be noted that the time slice of each task is obtained in advance by the staff based on historical data, for example, it can be the average completion time of the task in historical data.

[0143] As an optional embodiment: the priority z of each task of the control system is obtained as follows:

[0144] Obtaining the task urgency δ1, task dependency δ2 and task risk δ3 of each task of the control system;

[0145] According to the formula z=δ1*I1+δ2*I2+δ3, the priority z of each task of the control system is calculated and obtained, wherein 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.

[0146] On the other hand, Figure 3 As shown: The present invention also proposes a one-to-six refrigeration and heating control method, comprising the following steps:

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

[0148] Step 2: Monitor the equipment operation status in real time based on the collected parameters, determine whether the equipment is abnormal, 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 2 is to obtain the temperature abnormality value Q in the room where the refrigeration and heating equipment is located; obtain the pressure abnormality value W in the room where the refrigeration and heating equipment is located; obtain the flow abnormality value E inside the refrigeration and heating equipment; obtain the energy consumption abnormality value R of the refrigeration and heating equipment; obtain the vibration abnormality value T of the refrigeration and heating equipment; according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), obtain the comprehensive abnormality value U of the refrigeration and heating equipment; obtain the standard deviation σ of the comprehensive abnormality value and the historical average value μ of the comprehensive abnormality value; set a threshold value k of the comprehensive abnormality value in advance, and judge whether the absolute value of the difference between the comprehensive abnormality value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module. If not, it is judged that the refrigeration and heating equipment is working normally.

[0151] Working principle:

[0152] By real-time monitoring of the environmental parameters of the equipment and adaptively adjusting the control parameters according to historical data and environmental changes, the temperature of each area can be stabilized; 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 increasing processing time when multiple tasks are executed.

[0153] The above are only preferred implementations of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technical staff in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope 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 device comprises a refrigeration component (1), a heating component (2), six terminal components (3), a pipeline connection component and a safety protection component (5); The pipeline connection assembly comprises a first pipeline (6), a second pipeline (7) and a third pipeline (8); The refrigeration component (1) and the heating component (2) are connected via the first pipeline (6); the number of the second pipeline (7) and the third pipeline (8) is six; the refrigeration component (1) and the six terminal components (3) are connected in a one-to-one correspondence via the six second pipelines (7); and the heating component (2) and the six terminal components (3) are connected in a one-to-one correspondence via the six third pipelines (8); The refrigeration and heating device further comprises six sensor components (9), and the six sensor components (9) are respectively installed in the areas corresponding to the six terminal components (3) in a one-to-one correspondence.

2. The one-to-six refrigeration and heating control system according to claim 1, characterized in that: The refrigeration and heating device further comprises a storage component (10), wherein the storage component (10) is used to store historical data of the six sensor components (9) and the monitoring module; and a regulating valve (4) and a one-way valve (12) are also installed on the second pipeline (7) and the third pipeline (8).

3. The one-to-six refrigeration and heating control system according to claim 1, characterized in that: The specific working mode of the adjustment module is as follows: The refrigeration and heating device further comprises a control component (11), wherein the control component (11) 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. The one-to-six refrigeration and heating control system according to claim 1, characterized in that: The control system includes: an environment sensing module, which is used to collect indoor environmental parameters and equipment operating parameters; An adjustment module, the adjustment module is used to adaptively adjust control parameters of the device; The monitoring module is used to monitor the operating status of the equipment in real time, determine whether the equipment is abnormal, and record abnormal data, specifically: Obtain an abnormal temperature value Q in the room where the refrigeration and heating equipment is located; Obtain an abnormal pressure value W in the room where the refrigeration and heating equipment is located; Obtaining an abnormal flow value E inside the refrigeration and heating device; Obtaining an abnormal energy consumption value R of the refrigeration and heating equipment; Obtaining a vibration abnormality value T of the refrigeration and heating equipment; According to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), the comprehensive abnormal value U of the refrigeration and heating equipment is obtained, wherein a1, a2, a3, a4 and a5 are preset proportional coefficients; Obtaining the standard deviation σ of the comprehensive abnormal value and the historical average μ of the comprehensive abnormal value; A threshold k of the comprehensive abnormal value is set in advance, and it is judged whether the absolute value of the difference between the comprehensive abnormal value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment is abnormal, and a signal is generated and transmitted to the adjustment module. If no, it is judged that the refrigeration and heating equipment is working normally. A prediction control module, which is used to predict future load changes in advance and formulate response strategies in a timely manner; The method for obtaining the standard deviation σ of the comprehensive abnormal value is as follows: According to the formula Calculate and obtain the standard deviation σ of the comprehensive outlier value; where N is the total number of historical data points of the comprehensive outlier value R, U i is the value of the ith data point; After the regulating module receives the signal from the monitoring module; Obtaining a difference e between the temperature of the refrigeration and heating device and a preset temperature threshold; According to the formula The adjustment value ΔH of the temperature parameter of the refrigeration and heating equipment is obtained by calculation, where K P , K i and K d are the coefficients of proportion, integration and differentiation respectively, ∫edt is the integral of the deviation e, is the rate of change of the deviation; The regulating module controls the transmission of the regulating value to the refrigeration and heating equipment for parameter regulation; The adjustment module also includes an adaptation unit, and the specific working mode of the adaptation unit is as follows: According to the formula Calculate and obtain the temperature adjustment value ΔS of each terminal device i , where ΔS i represents the temperature adjustment value of the i-th device, ω i Represents the weight coefficient of the i-th terminal device; Obtain the temperature difference ΔG between the area where the i-th terminal device is located and the area where the refrigeration device and the heating device are located i ; According to the formula L i =b*ΔG i +c, obtain the environmental adaptability value L of the i-th terminal device i , where b and c are preset coefficients; According to the formula ΔM i =ΔS i *(1+L i ), and obtain the temperature adjustment value ΔM after the i-th terminal device adapts i ; The adjustment module controls the temperature adjustment value ΔM after the i-th terminal device is adapted i Transmitted to the refrigeration and heating equipment for parameter adjustment.

5. The 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 value K2 of the comprehensive abnormal value is set in advance; Compare the comprehensive abnormal value R of the refrigeration and heating device at the current time point with the second threshold value K2, if the comprehensive abnormal value R of the refrigeration and heating device at the current time point is greater than the second threshold value K2, the fault maintenance unit determines that the refrigeration and heating device has a fault; The fault maintenance unit transmits the signal to the mobile phone terminal of the maintenance personnel.

6. The one-to-six refrigeration and heating control system according to claim 1, characterized in that: The specific working mode of the prediction control module is as follows: At one minute intervals, the load N of the refrigeration and heating equipment at the next time point is obtained. t ; An upper and lower load threshold are set in advance; The load N at the next time point t Compare with the upper and lower thresholds of the load. If the load N t If the load N is between the upper and lower thresholds, the normal operation of the equipment is maintained. t If the load is greater than or equal to the upper threshold, it is determined that the cooling and heating load will reach the peak at the next time point, and resources are added in advance. t If it is less than or equal to the lower threshold, it is determined that the cooling and heating load will reach a low point at the next time point, and resource usage is reduced.

7. The one-to-six refrigeration and heating control system according to claim 6, characterized in that: The load N of the refrigeration and heating equipment at the next time point t The method of obtaining is as follows: Get the temperature value N1 at the current time point; Obtain the load N2 of the refrigeration and heating equipment at the current time point; Obtain the energy consumption N3 of the refrigeration and heating equipment at the current time point; According to the 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 characteristics, and N4 is the error term.

8. The one-to-six refrigeration and heating control system according to claim 1, characterized in that: The prediction control module also includes a scheduling unit, which is used to schedule priorities when the system processes multiple groups of tasks simultaneously, specifically: Obtaining the priority z of each task of the control system; The tasks are sorted according to their priority levels, 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.

9. The one-to-six refrigeration and heating control system according to claim 8, characterized in that: The priority z of each task of the control system is obtained as follows: Obtaining the task urgency δ1, task dependency δ2 and task risk δ3 of each task of the control system; According to the formula z=δ1*I1+δ2*I2+δ3, the priority z of each task of the control system is calculated and obtained, wherein I1 and I2 are preset proportional coefficients.

10. A one-to-six cooling and heating control method, characterized in that: The following steps are involved: Step 1: Collect indoor environmental parameters and equipment operating parameters, and adaptively adjust equipment control parameters; Step 2: Monitor the equipment operation status in real time based on the collected parameters, determine whether the equipment is abnormal, 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 2 is to obtain the temperature abnormality value Q in the room where the refrigeration and heating equipment is located; obtain the pressure abnormality value W in the room where the refrigeration and heating equipment is located; obtain the flow abnormality value E inside the refrigeration and heating equipment; obtain the energy consumption abnormality value R of the refrigeration and heating equipment; obtain the vibration abnormality value T of the refrigeration and heating equipment; according to the formula U=(a1*Q)+(a2*W)+(a3*E)+(a4*R)+(a5*T), obtain the comprehensive abnormality value U of the refrigeration and heating equipment; obtain the standard deviation σ of the comprehensive abnormality value and the historical average value μ of the comprehensive abnormality value; set a threshold value k of the comprehensive abnormality value in advance, and judge whether the absolute value of the difference between the comprehensive abnormality value U of the refrigeration and heating equipment and the historical average value at the current time point is greater than k*σ. If yes, it is judged that the refrigeration and heating equipment has an abnormality, and a signal is generated and transmitted to the adjustment module. If not, it is judged that the refrigeration and heating equipment is working normally.

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