A constant temperature regulation method, system, device and medium based on linear control

Abstract

The present invention discloses a thermostatic adjustment method, system, device and medium based on linear control, the method comprising: collecting heat flow data in the area to be adjusted; building a heat dissipation adaptive adjustment model for the area to be adjusted, and obtaining the expected temperature maintenance coefficient of the area to be adjusted; obtaining the initial control signal of the linear thermostatic controller based on the expected temperature maintenance coefficient; after performing a thermostatic adjustment action based on the initial control signal, collecting the deviation value between the actual temperature and the expected temperature; determining the adjustment error based on the deviation value between the actual temperature and the expected temperature, and correcting the initial control signal based on the adjustment error to generate a final control signal of the linear thermostatic controller; performing a secondary thermostatic adjustment action based on the final control signal. The present invention realizes thermostatic adjustment of the area to be adjusted based on the linear thermostatic controller through a linear control algorithm, effectively improving the efficiency and accuracy of thermostatic adjustment in the working environment of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of constant temperature regulation, and in particular to a constant temperature regulation method, system, equipment and medium based on linear control. Background Art

[0002] With the progress of society and the continuous development of science, in many high-tech fields, the constant temperature problem has become one of the common problems that affect the working efficiency of equipment. When the equipment is working, it often generates a lot of heat. As this heat is discharged, the temperature of the working environment where the equipment is located will rise. As the equipment runs for a long time, the heat in the working environment of the equipment accumulates more and more, resulting in the heat generated by the equipment itself cannot be dissipated in time, which can easily cause the performance of the equipment to decline, and even cause equipment failure. Therefore, how to achieve constant temperature regulation of the working environment of the equipment has become the key to ensuring the working efficiency of the equipment. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a thermostatic adjustment method, system, equipment and medium based on linear control. Through a linear control algorithm, thermostatic adjustment of the area to be adjusted is achieved based on a linear thermostatic controller, thereby effectively improving the efficiency and accuracy of thermostatic adjustment in the working environment of the equipment.

[0004] The present invention provides a constant temperature regulation method based on linear control, the method comprising:

[0005] A sensor is arranged in the area to be adjusted, and heat flow data in the area to be adjusted is collected;

[0006] Building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted;

[0007] Acquire an initial control signal of a linear thermostatic controller based on the expected temperature maintenance coefficient;

[0008] After the linear thermostatic controller performs a thermostatic adjustment action based on the initial control signal, a deviation value between the actual temperature and the expected temperature is collected;

[0009] Determining a regulation error based on a deviation between the actual temperature and the expected temperature, and correcting the initial control signal based on the regulation error to generate a final control signal of the linear thermostatic controller;

[0010] The linear thermostatic controller performs a secondary thermostatic adjustment action based on the final control signal.

[0011] Furthermore, the step of setting a sensor in the area to be adjusted and collecting heat flow data in the area to be adjusted includes:

[0012] A temperature sensor is arranged in the area to be adjusted to collect real-time temperature change data in the area to be adjusted in a preset time period;

[0013] Analyze the space of the area to be adjusted and the stored heat sources to obtain the temperature influence parameters of the heat sources;

[0014] A spatial temperature flow domain geometric model of the area to be adjusted is constructed based on the real-time temperature change data and the temperature influence parameters of the heat source, and heat flow data of the area to be adjusted is extracted according to the flow collection time.

[0015] Furthermore, the step of building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted includes:

[0016] Analyze the heat dissipation structure in the area to be adjusted, obtain heat dissipation adjustment adaptive parameters, and build a heat dissipation adaptive adjustment model;

[0017] Inputting the heat flow data into the heat dissipation adaptive adjustment model, and obtaining the expected heat dissipation capacity value by building an energy conservation equation;

[0018] The expected temperature maintenance coefficient of the area to be adjusted is obtained by combining the expected heat dissipation capacity value and the preset heat dissipation time.

[0019] Further, the obtaining of an initial control signal of a thermostatic controller based on the expected temperature maintenance coefficient includes:

[0020] An initial constant temperature adjustment expected value is generated according to the difference between the real-time temperature value of the area to be adjusted and the expected temperature maintenance coefficient, and an initial basic control parameter of a PID constant temperature controller is generated according to the initial constant temperature adjustment expected value, and an initial control signal of the PID constant temperature controller is generated according to an incremental PID algorithm.

[0021] Furthermore, the initial basic control parameters of the linear thermostatic controller generated according to the initial thermostatic adjustment expected value include:

[0022] A PID control algorithm neural network is constructed, and the initial constant temperature adjustment expected value is used as an input value to calculate and obtain the initial basic control parameters of the PID linear constant temperature controller, including the initial proportional coefficient, the initial integral coefficient and the initial differential coefficient.

[0023] Further, the determining of the adjustment error based on the deviation between the actual temperature and the expected temperature, and correcting the initial control signal based on the adjustment error to generate the final control signal of the linear thermostatic controller includes:

[0024] The actual temperature of the area to be adjusted after the PID linear thermostatic controller performs a thermostatic adjustment action is collected, and compared with the expected temperature holding coefficient to determine the adjustment error;

[0025] Analyze the adjustment error based on the PID adaptive control algorithm to generate a correction value of the basic control parameter of the PID linear thermostatic controller;

[0026] Correcting the initial basic control parameters based on the basic control parameter correction values ​​to generate final basic control parameters;

[0027] The final basic control parameters are analyzed based on an incremental PID algorithm to generate a final control signal of a PID linear thermostatic controller.

[0028] Furthermore, the thermostatic controller performs a secondary thermostatic adjustment action based on the final control signal, including:

[0029] After the secondary thermostatic adjustment action is completed, the temperature data of the area to be adjusted after the secondary thermostatic adjustment action is completed is collected, and the thermostatic adjustment efficiency of the secondary thermostatic adjustment action is evaluated.

[0030] The present invention also provides a thermostatic adjustment system based on linear control, the thermostatic adjustment system based on linear control is used to implement the above-mentioned thermostatic adjustment method based on linear control, the system comprises:

[0031] A data acquisition module, wherein the data acquisition module is used to set a sensor in the area to be adjusted and collect heat flow data in the area to be adjusted;

[0032] An expected temperature generation module, the expected temperature generation module is used to build a heat dissipation adaptive adjustment model for the area to be adjusted, and input the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted;

[0033] An initial control signal acquisition module, the initial control signal acquisition module is used to acquire an initial control signal of the linear thermostatic controller based on the expected temperature maintenance coefficient;

[0034] An initial adjustment module, wherein the initial adjustment module is used for collecting a deviation value between an actual temperature and an expected temperature after the linear thermostatic controller performs a thermostatic adjustment action based on the initial control signal;

[0035] a final control signal acquisition module, the final control signal acquisition module being used to determine an adjustment error based on a deviation value between the actual temperature and the expected temperature, and to correct the initial control signal based on the adjustment error to generate a final control signal of the linear thermostatic controller;

[0036] A final-stage adjustment module is used for the linear thermostatic controller to perform a secondary thermostatic adjustment action based on the final-stage control signal.

[0037] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned constant temperature regulation method based on linear control.

[0038] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned constant temperature adjustment method based on linear control is implemented.

[0039] The present invention provides a thermostatic adjustment method, system, equipment and medium based on linear control. By analyzing the heat flow data of the area to be adjusted, a heat dissipation adaptive adjustment model is established, and then the thermostatic adjustment control of the area to be adjusted is realized through a PID linear control algorithm. The thermostatic adjustment with the adjustment area is realized based on a linear thermostatic controller, and two-stage thermostatic adjustment is adopted. The thermostatic adjustment coefficient can be calibrated according to the actual situation of the area to be adjusted, which effectively improves the efficiency and accuracy of the thermostatic adjustment in the working environment of the equipment, and has high technical and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 is a flow chart of a constant temperature adjustment method based on linear control in Embodiment 1 of the present invention;

[0042] Figure 2 is a flow chart of collecting heat flow data in the area to be adjusted in the first embodiment of the present invention;

[0043] Figure 3 is a flow chart for obtaining the expected temperature maintenance coefficient of the area to be adjusted in the first embodiment of the present invention;

[0044] Figure 4is a flow chart of generating a final control signal of a linear thermostatic controller in Embodiment 1 of the present invention;

[0045] Figure 5 This is an architecture diagram of a thermostatic regulation system based on linear control in the second embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In the present invention, it should be understood that terms such as "include" or "have" are intended to indicate the existence of features, numbers, steps, behaviors, components, parts or a combination thereof disclosed in the specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, behaviors, components, parts or a combination thereof exist or are added.

[0048] It should also be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0049] Embodiment 1

[0050] Embodiment 1 of the present invention provides a constant temperature adjustment method based on linear control, the method comprising: setting a sensor in an area to be adjusted, and collecting heat flow data in the area to be adjusted; building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted; obtaining an initial control signal of a linear constant temperature controller based on the expected temperature maintenance coefficient; after the linear constant temperature controller performs a constant temperature adjustment action based on the initial control signal, collecting the deviation value between the actual temperature and the expected temperature; determining an adjustment error based on the deviation value between the actual temperature and the expected temperature, and correcting the initial control signal based on the adjustment error to generate a final control signal of the linear constant temperature controller; the linear constant temperature controller performs a secondary constant temperature adjustment action based on the final control signal.

[0051] In an optional implementation of this embodiment, Figure 1 As shown, Figure 1 The flowchart of the thermostatic adjustment method based on linear control in the first embodiment of the present invention is shown, which includes the following steps:

[0052] S101, setting a sensor in the area to be adjusted, and collecting heat flow data in the area to be adjusted;

[0053] In an optional implementation of this embodiment, Figure 2 As shown, Figure 2 The flowchart of collecting heat flow data in the area to be adjusted in the first embodiment of the present invention is shown, including the following steps:

[0054] S201, setting a temperature sensor in the area to be adjusted, and collecting real-time temperature change data in the area to be adjusted in a preset time period;

[0055] In an optional implementation of this embodiment, a plurality of temperature sensors are provided in the area to be adjusted, and current temperature data and temperature data after a preset time period are respectively collected based on the plurality of temperature sensors in a preset time period.

[0056] Specifically, the preset time period is set according to the working cycle of the equipment in the area to be adjusted.

[0057] Furthermore, the temperature data includes dry-bulb temperature and wet-bulb temperature, wherein the dry-bulb temperature refers to the value read from a dry-bulb thermometer exposed to the air but not directly exposed to the sun, and the wet-bulb temperature refers to the temperature of the system when a large amount of water is in contact with limited humid air under adiabatic conditions, and the latent heat required for water evaporation comes entirely from the sensible heat released by the decrease in the temperature of the humid air. In the operation of the equipment in this embodiment, since the equipment is more sensitive to the temperature and humidity in its working environment, it is necessary to comprehensively consider the dry-bulb temperature and the wet-bulb temperature.

[0058] It should be noted that the specific number of temperature sensors needs to be set according to the space size of the area to be adjusted.

[0059] S202, analyzing the space of the area to be adjusted and the stored heat sources, and obtaining the temperature influence parameters of the heat sources;

[0060] In an optional implementation of this embodiment, the spatial size of the area to be adjusted is analyzed while taking into account the stored heat source, that is, the stored equipment. The influence of the heat source on the area to be adjusted is obtained by combining the heat dissipation of the equipment and the spatial size of the area to be adjusted, specifically the temperature influence parameter of the heat source.

[0061] Specifically, the heat dissipation of the device can be obtained from a comprehensive analysis of the working power and operating time of the device.

[0062] S203: Building a spatial temperature flow domain geometric model of the area to be adjusted based on the real-time temperature change data and the temperature influence parameters of the heat source, and extracting heat flow data of the area to be adjusted according to the flow collection time.

[0063] In an optional implementation of this embodiment, a spatial temperature flow domain geometric model of the area to be adjusted is constructed based on volume extraction.

[0064] Specifically, the geometric dimensions of the area to be adjusted and the heat source equipment are obtained, and the area to be adjusted and the heat source equipment are simplified into rectangular bodies of equivalent area. The rectangular body representing the heat source equipment is placed in the rectangular body representing the area to be adjusted according to actual conditions, so as to fully simulate the space in the area to be adjusted.

[0065] Furthermore, after the spatial model is built, the real-time temperature change data and the temperature influence parameters of the heat source equipment are substituted into the spatial model to build a spatial temperature flow basin geometric model of the area to be adjusted.

[0066] In an optional implementation of this embodiment, the heat flow data of the area to be adjusted is extracted according to a preset flow collection time.

[0067] S102, building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted;

[0068] In an optional implementation of this embodiment, Figure 3 As shown, Figure 3 The flowchart of obtaining the expected temperature maintenance coefficient of the area to be adjusted in the first embodiment of the present invention is shown, including the following steps:

[0069] S301, analyzing the heat dissipation structure in the area to be adjusted, obtaining heat dissipation adjustment adaptive parameters, and building a heat dissipation adaptive adjustment model;

[0070] In an optional implementation of the present embodiment, the spatial temperature flow domain geometric model of the area to be adjusted in step S203 is extracted, and the heat dissipation capacity of the heat dissipation structure in the area to be adjusted, such as fans, blowers, air conditioners, vents, etc., is analyzed to obtain the heat dissipation adjustment adaptive parameters.

[0071] In an optional implementation of this embodiment, the heat dissipation structure is simplified into a rectangular body of equivalent area based on volume extraction, placed in the spatial temperature flow domain geometric model of the area to be adjusted, and the heat dissipation adjustment adaptive parameters are input to build a heat dissipation adaptive adjustment model.

[0072] S302, inputting the heat flow data into the heat dissipation adaptive adjustment model, and obtaining the expected heat dissipation capacity value by building an energy conservation equation;

[0073] In an optional implementation of this embodiment, the heat flow data is input into the heat dissipation adaptive adjustment model, and an energy conservation equation is constructed by integrating various factors to obtain the expected heat dissipation capacity value.

[0074] Specifically, the formula of the energy conservation equation is as follows:

[0075]

[0076] In the formula, V is the expected heat dissipation capacity, Q is the heat flow value, k is the heat transfer parameter, c is the specific heat capacity of the medium, t is the real-time temperature value, S i is the i heat dissipation item.

[0077] S303: Acquire an expected temperature maintenance coefficient of the area to be adjusted by combining the expected heat dissipation capacity value and the preset heat dissipation time.

[0078] In an optional implementation of this embodiment, the expected temperature maintenance coefficient of the area to be adjusted is obtained by combining the expected heat dissipation capacity value obtained in step S302 and the preset heat dissipation time.

[0079] Specifically, the expected heat dissipation capacity value is combined with the preset heat dissipation time to obtain the heat dissipation efficiency per unit time, and the accumulated heat converted from the real-time temperature in the area to be adjusted is combined to calculate the expected temperature maintenance coefficient in the area to be adjusted after the preset heat dissipation time.

[0080] S103, obtaining an initial control signal of a linear thermostatic controller based on the expected temperature maintenance coefficient;

[0081] In an optional implementation of the present embodiment, an initial constant temperature adjustment expected value is generated according to the difference between the real-time temperature value of the area to be adjusted and the expected temperature maintenance coefficient, and the initial basic control parameters of the PID constant temperature controller are generated according to the initial constant temperature adjustment expected value, and the initial control signal of the PID constant temperature controller is generated according to the incremental PID algorithm.

[0082] In an optional implementation of this embodiment, a constant temperature controller using a PID control algorithm is used to perform constant temperature regulation on the area to be regulated.

[0083] Specifically, the PID control algorithm, namely proportional-integral-derivative control, is a control strategy commonly used in automatic control. The algorithm is simple, robust and reliable. It forms a control deviation based on a given value and an actual output value, and forms a control quantity by linearly combining the deviation in proportion, integration and differentiation to control the controlled object and complete linear regulation.

[0084] In an optional implementation of this embodiment, the difference between the real-time temperature value of the area to be adjusted and the expected temperature maintenance coefficient is used as the initial constant temperature adjustment expected value, the initial constant temperature adjustment expected value is used as the input value, and the output value is obtained as the initial basic control parameter of the PID constant temperature controller.

[0085] Specifically, a PID control algorithm neural network is constructed, and the initial constant temperature adjustment expected value is used as an input value to calculate and obtain the initial basic control parameters of the PID linear constant temperature controller, including the initial proportional coefficient, the initial integral coefficient and the initial differential coefficient.

[0086] In an optional implementation of this embodiment, after obtaining the initial proportional coefficient, the initial integral coefficient and the initial differential coefficient, the initial control signal of the PID thermostat is generated by an incremental PID algorithm, and the calculation formula includes:

[0087]

[0088] Where P(k) is the initial control signal, K p1 is the initial proportionality coefficient, K i1 is the initial integration coefficient, K d1 is the initial differential coefficient, e(k) is the temperature difference at the current moment, e(k-1) is the temperature difference at the previous moment, e(k)sk is the integral term of e(k), is the differential term of e(k).

[0089] S104, the linear constant temperature controller performs a constant temperature adjustment action based on the initial control signal, and collects the deviation value between the actual temperature and the expected temperature;

[0090] In an optional implementation of the present embodiment, the linear PID constant temperature controller performs a constant temperature adjustment action based on the initial control signal obtained in step S103. After completing the constant temperature adjustment action, the deviation value between the actual temperature and the expected temperature after completing the constant temperature adjustment action is collected as a constant temperature adjustment error.

[0091] S105, determining an adjustment error based on a deviation between the actual temperature and the expected temperature, and correcting the initial control signal based on the adjustment error to generate a final control signal of the linear thermostatic controller;

[0092] In an optional implementation of this embodiment, Figure 4 As shown, Figure 4 The flowchart of generating the final control signal of the linear thermostatic controller in the first embodiment of the present invention is shown, and the flowchart includes the following steps:

[0093] S401, collecting the actual temperature of the area to be adjusted after the PID linear thermostatic controller performs a thermostatic adjustment action, and comparing it with the expected temperature maintenance coefficient to determine the adjustment error;

[0094] In an optional implementation of this embodiment, the real-time temperature of the area to be adjusted after the PID linear thermostatic controller completes a thermostatic adjustment action is collected, compared with the expected temperature maintenance coefficient, and the difference is calculated as the error of a thermostatic adjustment.

[0095] S402, analyzing the adjustment error based on a PID adaptive control algorithm to generate a basic control parameter correction value of a PID linear thermostatic controller;

[0096] In an optional implementation of this embodiment, the regulation error is analyzed based on a PID adaptive control algorithm, the regulation error is decomposed into a proportional component, an integral component, and a differential component, and a proportional component correction value, an integral component correction value, and a differential component correction value are generated.

[0097] Specifically, the proportional control corresponding to the proportional coefficient adjusts the output according to the difference between the current adjustment error and the expected value, the integral control corresponding to the integral coefficient adjusts the output according to the integral of the current adjustment error, and the differential control corresponding to the differential coefficient adjusts the output according to the differential of the current adjustment error. Among them, the proportional control is used to control the output change speed, the integral control is used to eliminate static errors, and the differential control is used to achieve faster response and more stable control effects.

[0098] S403, correcting the initial basic control parameters based on the basic control parameter correction values ​​to generate final basic control parameters;

[0099] In an optional implementation of the present embodiment, based on the proportional component correction value, integral component correction value and differential component correction value obtained in step S402, the initial proportional coefficient, initial integral coefficient and initial differential coefficient are corrected respectively to generate the final proportional coefficient, final integral coefficient and final differential coefficient.

[0100] S404, analyzing the final basic control parameters based on the incremental PID algorithm to generate a final control signal of the PID linear thermostatic controller.

[0101] In an optional implementation of this embodiment, after obtaining the final proportional coefficient, the final integral coefficient and the final differential coefficient, the final control signal of the PID thermostat controller is generated by an incremental PID algorithm, and the calculation formula includes:

[0102]

[0103] Where P(k′) is the final control signal, Kp2 is the terminal proportional coefficient, K i2 is the final integral coefficient, K d2 is the final differential coefficient, e(k′) is the temperature difference at the current moment after a constant temperature adjustment, e(k′-1) is the temperature difference at the previous moment after a constant temperature adjustment, e(k′)dk′ is the integral term of e(k′), is the differential term of e(k′).

[0104] S106: The linear thermostatic controller performs a secondary thermostatic adjustment action based on the final control signal.

[0105] In an optional implementation of this embodiment, the linear PID constant temperature controller performs a secondary constant temperature adjustment action based on the final control signal obtained in step S403.

[0106] In an optional implementation of this embodiment, after the secondary constant temperature adjustment action is completed, the temperature data of the area to be adjusted after the secondary constant temperature adjustment action is completed is collected, and the constant temperature adjustment efficiency of the secondary constant temperature adjustment action is evaluated.

[0107] In summary, Embodiment 1 of the present invention provides a constant temperature regulation method based on linear control, which builds a heat dissipation adaptive regulation model by analyzing the heat flow data of the area to be regulated, and then realizes the constant temperature regulation control of the area to be regulated through the PID linear control algorithm, and realizes the constant temperature regulation with the adjustment area based on the linear constant temperature controller, and adopts two-stage constant temperature regulation. The constant temperature regulation coefficient can be calibrated according to the actual situation of the area to be regulated, which effectively improves the efficiency and accuracy of the constant temperature regulation in the working environment of the equipment, and has high technical and economic benefits.

[0108] Embodiment 2

[0109] Embodiment 2 of the present invention provides a constant temperature regulation system based on linear control, and the constant temperature regulation system based on linear control is used to implement the constant temperature regulation method based on linear control described in Embodiment 1. The system includes: a data acquisition module, an expected temperature generation module, an initial control signal acquisition module, an initial regulation module, a final control signal acquisition module, and a final regulation module.

[0110] In an optional implementation of this embodiment, Figure 5 As shown, Figure 5 The following is a diagram showing the architecture of a thermostatic adjustment system based on linear control in the second embodiment of the present invention, including the following modules:

[0111] A data acquisition module 10, wherein the data acquisition module 10 is used to set a sensor in the area to be adjusted and collect heat flow data in the area to be adjusted;

[0112] An expected temperature generation module 20, the expected temperature generation module 20 is used to build a heat dissipation adaptive adjustment model for the area to be adjusted, and input the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted;

[0113] An initial control signal acquisition module 30, the initial control signal acquisition module 30 is used to acquire an initial control signal of the linear thermostatic controller based on the expected temperature maintenance coefficient;

[0114] An initial adjustment module 40, wherein the initial adjustment module 40 is used for collecting a deviation value between an actual temperature and an expected temperature after the linear thermostatic controller performs a thermostatic adjustment action based on the initial control signal;

[0115] A final control signal acquisition module 50, the final control signal acquisition module 50 is used to determine an adjustment error based on a deviation value between the actual temperature and the expected temperature, and to correct the initial control signal based on the adjustment error to generate a final control signal of the linear thermostatic controller;

[0116] The final stage regulating module 60 is used for the linear thermostatic controller to perform secondary thermostatic regulating action based on the final stage control signal.

[0117] In summary, the second embodiment of the present invention provides a constant temperature regulation system based on linear control, which is used to implement the constant temperature regulation method based on linear control in the first embodiment. By analyzing the heat flow data of the area to be adjusted, a heat dissipation adaptive regulation model is built, and then the constant temperature regulation control of the area to be adjusted is realized through the PID linear control algorithm. The constant temperature regulation with the adjustment area is realized based on the linear constant temperature controller, and two-stage constant temperature regulation is adopted. The constant temperature regulation coefficient can be calibrated according to the actual situation of the area to be adjusted, which effectively improves the efficiency and accuracy of the constant temperature regulation in the working environment of the equipment, and has high technical and economic benefits.

[0118] Embodiment 3

[0119] Embodiment 3 of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the constant temperature regulation method based on linear control described in Embodiment 1.

[0120] In summary, embodiment three of the present invention provides an electronic device for implementing the thermostatic adjustment method based on linear control described in embodiment one. By analyzing the heat flow data of the area to be adjusted, a heat dissipation adaptive adjustment model is built, and then the thermostatic adjustment control of the area to be adjusted is realized through the PID linear control algorithm. The thermostatic adjustment with the adjustment area is realized based on the linear thermostatic controller, and two-stage thermostatic adjustment is adopted. The thermostatic adjustment coefficient can be calibrated according to the actual situation of the area to be adjusted, which effectively improves the efficiency and accuracy of the thermostatic adjustment in the working environment of the equipment, and has high technical and economic benefits.

[0121] Embodiment 4

[0122] A fourth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the constant temperature regulation method based on linear control described in the first embodiment is implemented.

[0123] In summary, embodiment 4 of the present invention provides a computer-readable storage medium for executing the thermostatic adjustment method based on linear control described in embodiment 1. By analyzing the heat flow data of the area to be adjusted, a heat dissipation adaptive adjustment model is built, and then the thermostatic adjustment control of the area to be adjusted is realized through the PID linear control algorithm. The thermostatic adjustment with the adjustment area is realized based on the linear thermostatic controller, and two-stage thermostatic adjustment is adopted. The thermostatic adjustment coefficient can be calibrated according to the actual situation of the area to be adjusted, which effectively improves the efficiency and accuracy of the thermostatic adjustment in the working environment of the equipment, and has high technical and economic benefits.

[0124] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0125] In addition, the embodiments of the present invention are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A constant temperature adjustment method based on linear control, characterized in that: The method comprises: A sensor is arranged in the area to be adjusted, and heat flow data in the area to be adjusted is collected; The step of setting a sensor in the area to be adjusted and collecting heat flow data in the area to be adjusted includes: setting a temperature sensor in the area to be adjusted and collecting real-time temperature change data in the area to be adjusted in a preset time period; analyzing the space and the stored heat source in the area to be adjusted to obtain the temperature influence parameter of the heat source; building a spatial temperature flow domain geometric model of the area to be adjusted based on the real-time temperature change data and the temperature influence parameter of the heat source, and extracting the heat flow data of the area to be adjusted according to the flow collection time; The step of setting a temperature sensor in the area to be adjusted and collecting real-time temperature change data in the area to be adjusted in a preset time period comprises: setting a plurality of temperature sensors in the area to be adjusted, and collecting current temperature data and temperature data after a preset time period based on the plurality of temperature sensors in a preset time period; The temperature data includes dry-bulb temperature and wet-bulb temperature; Building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted; The step of building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain the expected temperature maintenance coefficient of the area to be adjusted comprises: analyzing the heat dissipation structure in the area to be adjusted, obtaining heat dissipation adjustment adaptive parameters, and building a heat dissipation adaptive adjustment model; inputting the heat flow data into the heat dissipation adaptive adjustment model, and obtaining the expected heat dissipation capacity value by building an energy conservation equation; and obtaining the expected temperature maintenance coefficient of the area to be adjusted by combining the expected heat dissipation capacity value and the preset heat dissipation time; The step of inputting the heat flow data into the heat dissipation adaptive adjustment model and obtaining the expected heat dissipation capacity value by constructing an energy conservation equation includes: inputting the heat flow data into the heat dissipation adaptive adjustment model, and constructing an energy conservation equation by integrating various factors to obtain the expected heat dissipation capacity value. The formula of the energy conservation equation is as follows: In the formula, V is the expected heat dissipation capacity, Q is the heat flow value, k is the heat transfer parameter, c is the specific heat capacity of the medium, t is the real-time temperature value, S i is the i-th heat dissipation item; Acquire an initial control signal of a linear thermostatic controller based on the expected temperature maintenance coefficient; After the linear thermostatic controller performs a thermostatic adjustment action based on the initial control signal, a deviation value between the actual temperature and the expected temperature is collected; Determining a regulation error based on a deviation between the actual temperature and the expected temperature, and correcting the initial control signal based on the regulation error to generate a final control signal of the linear thermostatic controller; The linear thermostatic controller performs a secondary thermostatic adjustment action based on the final control signal.

2. The constant temperature regulation method based on linear control according to claim 1, characterized in that: The obtaining of an initial control signal of a thermostatic controller based on the expected temperature maintenance coefficient comprises: An initial constant temperature adjustment expected value is generated according to the difference between the real-time temperature value of the area to be adjusted and the expected temperature maintenance coefficient, and an initial basic control parameter of a PID constant temperature controller is generated according to the initial constant temperature adjustment expected value, and an initial control signal of the PID constant temperature controller is generated according to an incremental PID algorithm.

3. The constant temperature regulation method based on linear control as claimed in claim 2, characterized in that: The initial basic control parameters of the linear thermostatic controller generated according to the initial thermostatic adjustment expected value include: A PID control algorithm neural network is constructed, and the initial constant temperature adjustment expected value is used as an input value to calculate and obtain the initial basic control parameters of the PID linear constant temperature controller, including the initial proportional coefficient, the initial integral coefficient and the initial differential coefficient.

4. The constant temperature regulation method based on linear control as claimed in claim 3, characterized in that: The step of determining the adjustment error based on the deviation between the actual temperature and the expected temperature, and correcting the initial control signal based on the adjustment error to generate the final control signal of the linear thermostatic controller comprises: The actual temperature of the area to be adjusted after the PID linear thermostatic controller performs a thermostatic adjustment action is collected, and compared with the expected temperature holding coefficient to determine the adjustment error; Analyze the adjustment error based on the PID adaptive control algorithm to generate a correction value of the basic control parameter of the PID linear thermostatic controller; Correcting the initial basic control parameters based on the basic control parameter correction values ​​to generate final basic control parameters; The final basic control parameters are analyzed based on an incremental PID algorithm to generate a final control signal of a PID linear thermostatic controller.

5. The constant temperature regulation method based on linear control according to claim 1, characterized in that: The thermostatic controller performs a secondary thermostatic adjustment action based on the final control signal, including: After the secondary thermostatic adjustment action is completed, the temperature data of the area to be adjusted after the secondary thermostatic adjustment action is completed is collected, and the thermostatic adjustment efficiency of the secondary thermostatic adjustment action is evaluated.

6. A constant temperature regulation system based on linear control, characterized in that: The thermostatic adjustment system based on linear control is used to implement the thermostatic adjustment method based on linear control according to any one of claims 1 to 5, and the system comprises: A data acquisition module, wherein the data acquisition module is used to set a sensor in the area to be adjusted and collect heat flow data in the area to be adjusted; The step of setting a sensor in the area to be adjusted and collecting heat flow data in the area to be adjusted includes: setting a temperature sensor in the area to be adjusted and collecting real-time temperature change data in the area to be adjusted in a preset time period; analyzing the space and the stored heat source in the area to be adjusted to obtain the temperature influence parameter of the heat source; building a spatial temperature flow domain geometric model of the area to be adjusted based on the real-time temperature change data and the temperature influence parameter of the heat source, and extracting the heat flow data of the area to be adjusted according to the flow collection time; The step of setting a temperature sensor in the area to be adjusted and collecting real-time temperature change data in the area to be adjusted in a preset time period comprises: setting a plurality of temperature sensors in the area to be adjusted, and collecting current temperature data and temperature data after a preset time period based on the plurality of temperature sensors in a preset time period; The temperature data includes dry-bulb temperature and wet-bulb temperature; An expected temperature generation module, the expected temperature generation module is used to build a heat dissipation adaptive adjustment model for the area to be adjusted, and input the heat flow data into the heat dissipation adaptive adjustment model to obtain an expected temperature maintenance coefficient for the area to be adjusted; The step of building a heat dissipation adaptive adjustment model for the area to be adjusted, and inputting the heat flow data into the heat dissipation adaptive adjustment model to obtain the expected temperature maintenance coefficient of the area to be adjusted comprises: analyzing the heat dissipation structure in the area to be adjusted, obtaining heat dissipation adjustment adaptive parameters, and building a heat dissipation adaptive adjustment model; inputting the heat flow data into the heat dissipation adaptive adjustment model, and obtaining the expected heat dissipation capacity value by building an energy conservation equation; and obtaining the expected temperature maintenance coefficient of the area to be adjusted by combining the expected heat dissipation capacity value and the preset heat dissipation time; The step of inputting the heat flow data into the heat dissipation adaptive adjustment model and obtaining the expected heat dissipation capacity value by constructing an energy conservation equation includes: inputting the heat flow data into the heat dissipation adaptive adjustment model, and constructing an energy conservation equation by integrating various factors to obtain the expected heat dissipation capacity value. The formula of the energy conservation equation is as follows: In the formula, V is the expected heat dissipation capacity, Q is the heat flow value, k is the heat transfer parameter, c is the specific heat capacity of the medium, t is the real-time temperature value, S i is the i-th heat dissipation item; An initial control signal acquisition module, the initial control signal acquisition module is used to acquire an initial control signal of the linear thermostatic controller based on the expected temperature maintenance coefficient; An initial adjustment module, which is used for collecting the deviation value between the actual temperature and the expected temperature after the linear thermostatic controller performs a thermostatic adjustment action based on the initial control signal; a final control signal acquisition module, the final control signal acquisition module being used to determine an adjustment error based on a deviation value between the actual temperature and the expected temperature, and to correct the initial control signal based on the adjustment error to generate a final control signal of the linear thermostatic controller; A final-stage adjustment module is used for the linear thermostatic controller to perform a secondary thermostatic adjustment action based on the final-stage control signal.

7. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the constant temperature regulation method based on linear control described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the constant temperature regulation method based on linear control according to any one of claims 1 to 5 is implemented.

Images