CN111649459A - Textile air conditioner energy-saving automatic control method based on expert PID - Google Patents

Textile air conditioner energy-saving automatic control method based on expert PID Download PDF

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CN111649459A
CN111649459A CN202010455842.1A CN202010455842A CN111649459A CN 111649459 A CN111649459 A CN 111649459A CN 202010455842 A CN202010455842 A CN 202010455842A CN 111649459 A CN111649459 A CN 111649459A
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humidity
temperature
working condition
enthalpy
air
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CN111649459B (en
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颜苏芊
程源
屈鑫凯
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Xian Polytechnic University
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
    • F24F11/85—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using variable-flow pumps
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F24F2110/12—Temperature of the outside air
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • F24F2110/22—Humidity of the outside air
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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Abstract

The invention discloses an expert PID-based energy-saving automatic control method for a textile air conditioner, which comprises the steps of collecting indoor temperature and humidity information of a textile workshop through a temperature and humidity sensor, and calculating a corresponding indoor enthalpy value; calculating temperature, humidity and enthalpy values under the theoretical environment working condition, acquiring outdoor temperature and humidity information through a temperature and humidity sensor, calculating the outdoor enthalpy value, and comparing the outdoor enthalpy value with the temperature, humidity and enthalpy values under the theoretical environment working condition to determine the actual environment working condition; under different actual environment working conditions, the opening degree of the air window is controlled by comparing the indoor enthalpy value with the outdoor enthalpy value; setting an indoor temperature and humidity threshold, carrying out feedback comparison on the collected indoor temperature and humidity information and the indoor temperature and humidity threshold, inputting the result into a PLC (programmable logic controller), and calling an expert PID (proportion integration differentiation) algorithm to control the output frequency of a fan and a water pump; the automatic control method of the invention preferentially controls the opening degree of the air window according to the principle of increasing, decreasing and increasing; the output frequency of the air feeder and the output frequency of the circulating water pump are adjusted in a self-adaptive mode through an expert PID algorithm, and the temperature and the humidity of a workshop of a textile mill are independently controlled.

Description

Textile air conditioner energy-saving automatic control method based on expert PID
Technical Field
The invention belongs to the technical field of temperature and humidity control of air conditioners in textile workshops, and relates to an expert PID-based energy-saving automatic control method for textile air conditioners.
Background
The textile air-conditioning automatic control system can ensure that the temperature and the humidity of a workshop meet the process requirements, and has remarkable effects of improving the production quality and reducing the cost. However, the automatic control system of the textile air conditioner has the following characteristics: firstly, the air conditioning system has multiple working conditions, and the unreasonable partition causes the cold and heat offset phenomenon of the system; secondly, the introduction of outdoor fresh air has a great influence on the energy consumption of an air conditioning system; thirdly, the textile air conditioning system has the characteristics of nonlinearity, hysteresis and the like, and various control requirements are not easily met by adopting the traditional PID regulation. Therefore, the current textile air conditioner automatic control system is difficult to achieve the purposes of good control, high efficiency and energy saving.
Disclosure of Invention
The invention aims to provide an expert PID-based textile air conditioner energy-saving automatic control method, which can improve the stability and the automation degree of a textile air conditioner control system and reduce the energy consumption.
The technical scheme adopted by the invention is that the textile air-conditioning energy-saving automatic control method based on expert PID is implemented according to the following steps:
step 1, collecting indoor temperature and humidity information of a textile workshop through a temperature and humidity sensor, inputting the indoor temperature and humidity information into an enthalpy value calculation module of a PLC (programmable logic controller), and calculating an indoor enthalpy value corresponding to the temperature and humidity information;
step 2, calculating temperature, humidity and enthalpy values under the theoretical environment working condition, acquiring outdoor temperature, humidity and enthalpy information through a temperature and humidity sensor, calculating the outdoor enthalpy value, comparing the outdoor enthalpy value with the temperature, humidity and enthalpy values under the theoretical environment working condition, and determining the actual environment working condition;
step 3, under different actual environment working conditions, controlling the opening degree of the air window through comparison of the indoor enthalpy value and the outdoor enthalpy value;
and 4, setting an indoor temperature and humidity threshold, carrying out feedback comparison on the collected indoor temperature and humidity information and the indoor temperature and humidity threshold, inputting a feedback comparison result to the PLC, and calling an expert PID algorithm by the PLC to control the output frequency of the fan and the water pump.
The invention is also characterized in that:
step 2, the specific process of calculating the temperature, humidity and enthalpy value under the theoretical environment working condition is as follows:
under theoretical high-temperature working conditions: according to the requirements of a workshop, making a 1-2-3-4 high-temperature working condition workshop temperature and humidity allowable fluctuation range on an enthalpy-humidity diagram, calculating corresponding moisture contents at the lowest point 1 and the highest point 4 in the range, respectively making intersection points of the moisture contents and saturated relative humidity lines as L1 and L4, and respectively calculating an enthalpy value h at the intersection pointsL1And hL4；
In a theoretical cold working condition: according to the requirements of the workshop, 1 '-2' -3 '-4' on the enthalpy-humidity diagram is an allowable fluctuation range of the temperature and the humidity of the cold working condition workshop, and the lowest point h in the range1″For the isenthalpic line at the lowest point 1 "of the control range, the moisture content at point 1" is calculated and intersects the saturated relative humidity line at LdCalculating enthalpy value hLd；
Obtaining the air flow according to the formula of the minimum fresh air ratio m:
Figure BDA0002509331880000021
step 2, the specific process of determining the actual environment working condition is as follows:
will make the outdoor enthalpy value hWComparing with the temperature, humidity and enthalpy value under the theoretical environment working condition, and obtaining the result:
when h is generatedW>hL1Automatically entering a high-temperature working condition;
when h is generatedWd<hW<hL1Automatically entering a transition working condition;
when h is generatedW<hWdAnd automatically entering a cold working condition.
The specific process of the step 3 is as follows: the actual environment conditions include 3 conditions:
1) under high temperature conditions, hW>hL4If the outdoor enthalpy value hWGreater than indoor enthalpy value hNOpening the fresh air window by 10 percent and opening the ground exhaust window by 90 percent, starting the chilled water, and performing dehumidification and cooling treatment; if the enthalpy value h of outdoor airWLess than the enthalpy value h of indoor airNThe opening of the fresh air window is 90 percent, the opening of the ground exhaust window is 10 percent, and the chilled water is started;
when the outdoor air enthalpy hL4>hW>hL1When the opening degree of the fresh air window is 90 percent and the opening degree of the ground exhaust window is 10 percent, the chilled water is closed;
2) under a transition working condition, making 1 '-2' -3 '-4' in an enthalpy-humidity diagram as a temperature and humidity allowable fluctuation range of a workshop under the transition working condition, and taking the lowest point 1 'and the highest point 4' of a control range; respective moisture contents d1 'and d 4' were calculated to have an intersection with the saturated relative humidity line of O1′And O2′Calculating enthalpy values h of two points1′And h2′Calculating the opening degree of a fresh air window under the transition working condition;
3) under the cold working condition, when the enthalpy value h of outdoor airW<hLdWhen the opening degree of the fresh air window is 10 percent, the opening degree of the ground exhaust window is 90 percent.
The process of calculating the opening degree of the fresh air window under the transition working condition comprises the following steps:
the following formula is used for calculation:
Figure BDA0002509331880000031
wherein k is an adjusting coefficient, delta O is an opening adjusting deviation of the fresh air window, hNRepresenting the indoor enthalpy.
In the step 4, the specific process of calling an expert PID algorithm by the PLC to control the output frequency of the fan and the water pump is as follows: after receiving the feedback comparison result, the PLC first judges whether the collected indoor temperature and humidity information is equal to the set indoor temperature and humidity threshold value, and if so, does not change the original output frequency of the fan and the water pump; otherwise, calculating a temperature sampling error and a humidity sampling error according to the indoor temperature and humidity information acquired twice, and controlling the output frequency of the fan and the water pump through an expert PID algorithm according to the temperature sampling error and the humidity sampling error.
The specific process of controlling the output frequency of the fan and the water pump by an expert PID algorithm comprises the following steps: taking e (k-1) and e (k-2) as temperature and humidity errors of the textile workshop at two adjacent sampling moments, and taking delta e (k) -e (k-1) as the temperature and humidity error variation of the textile workshop at the current sampling moment; m1The absolute value of the limit error generated in the environment of good operation of the system;
when | e (k) | > M1And when e (k) delta e (k) is more than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k1{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}；
when | e (k) | > M1And when e (k) delta e (k) is less than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k2{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}
when | e (k) | < M1In time, the PLC controller controls the output frequency of the fan and the water pump to be:
f(k)＝f(k-1)+kp[e(k)-e(k-1)]+kie(k)；
when | e (k) | ═ M1And in time, the PLC controls the output frequency of the fan and the water pump to be kept unchanged.
The beneficial effect of the invention is that,
the textile air-conditioning energy-saving automatic control method based on the expert PID adopts the textile air-conditioning energy-saving automatic control system based on the expert PID, solves the problems that the cold and heat of the system are offset due to unreasonable partitioning of the air-conditioning system under the working condition all the year around, and the energy consumption of the air-conditioning system is larger due to unreasonable introduction of outdoor fresh air on the basis of meeting the temperature and humidity requirements of a production workshop, and simultaneously solves the problems that the textile air-conditioning automatic control system is long in adjusting time, difficult in adjusting control parameters and the like. The automatic control method of the invention combines the existing devices and systems of the textile workshop, and particularly when the temperature and humidity outside the workshop has large variation range and the temperature and humidity in the workshop is unstable, the system can rapidly adjust the air conditioning system devices, so that the temperature and humidity of the workshop are stabilized within a target range, the production process requirements of the workshop are ensured, and the purposes of high efficiency and energy saving are achieved.
Drawings
FIG. 1 is a control structure block diagram of an expert PID-based textile air-conditioning energy-saving automatic control system;
FIG. 2 is a monitoring interface of an expert PID textile air-conditioning energy-saving automatic control system;
figure 3 is a diagram of the allowable fluctuation range of temperature and humidity on an enthalpy diagram under a theoretical high-temperature working condition;
figure 4 is a graph of allowable temperature and humidity fluctuation ranges on a psychrometric chart for theoretical cold conditions;
figure 5 is a graph of the allowable temperature and humidity fluctuation range on the psychrometric chart during the transient mode.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The invention relates to a textile air-conditioning energy-saving automatic control method based on expert PID, which is an automatic control method of a textile air-conditioning energy-saving automatic control system based on expert PID, wherein the textile air-conditioning energy-saving automatic control system based on expert PID is shown in figures 1 and 2, and the system comprises a blower, a process return fan, a ground exhaust fan and a circulating water pump; the system comprises a fresh air valve, a ground air suction valve, a process air return valve, a chilled water valve and a PLC (programmable logic controller), wherein the output end of the PLC is connected with a blower frequency converter, a process air return fan frequency converter, a ground exhaust fan frequency converter, a circulating water pump frequency converter, the fresh air valve, the ground air suction valve, the process air return valve and the chilled water valve.
The method is implemented according to the following steps:
step 1, collecting indoor temperature and humidity information of a textile workshop through a temperature and humidity sensor, inputting the indoor temperature and humidity information into an enthalpy value calculation module of a PLC (programmable logic controller), and calculating an indoor enthalpy value corresponding to the temperature and humidity information;
step 2, calculating temperature, humidity and enthalpy values under the theoretical environment working condition, acquiring outdoor temperature, humidity and enthalpy information through a temperature and humidity sensor, calculating the outdoor enthalpy value, comparing the outdoor enthalpy value with the temperature, humidity and enthalpy values under the theoretical environment working condition, and determining the actual environment working condition;
the specific process of calculating the temperature, humidity and enthalpy values under the theoretical environment working condition comprises the following steps:
under theoretical high-temperature working conditions: as shown in figure 3, according to the requirements of a workshop, a 1-2-3-4 high-temperature working condition workshop temperature and humidity allowable fluctuation range is made on an enthalpy-humidity diagram, the corresponding moisture content is calculated according to the lowest point 1 and the highest point 4 in the range, the intersection points of the moisture content and the saturated relative humidity line are respectively made to be L1 and L4 by considering the water passing amount of a water baffle of 0.5g/kg, and the enthalpy value h at the intersection points is respectively calculatedL1And hL4；
In a theoretical cold working condition: as shown in figure 4, according to the requirements of the workshop, 1 "-2" -3 "-4" on the psychrometric chart is taken as the allowable fluctuation range of the temperature and the humidity of the cold working condition workshop, and the lowest point h in the range is1″For the isenthalpic line at the lowest point 1 "of the control range, the moisture content at point 1" is calculated and intersects the saturated relative humidity line at LdCalculating enthalpy value hLd；
Obtaining the air flow according to the formula of the minimum fresh air ratio m:
Figure BDA0002509331880000061
the specific process for determining the actual environment working condition comprises the following steps:
will make the outdoor enthalpy value hWComparing with the temperature, humidity and enthalpy value under the theoretical environment working condition, and obtaining the result:
when h is generatedW>hL1Automatically entering a high-temperature working condition;
when h is generatedWd<hW<hL1Automatically entering a transition working condition;
when h is generatedW<hWdAnd automatically entering a cold working condition.
Step 3, under different actual environment working conditions, controlling the opening degree of the air window through comparison of the indoor enthalpy value and the outdoor enthalpy value; the specific process is as follows: the actual environment conditions include 3 conditions:
1) under high temperature conditions, hW>hL4If the outdoor enthalpy value hWGreater than indoor enthalpy value hNOpening the fresh air window by 10 percent and opening the ground exhaust window by 90 percent, starting the chilled water, and performing dehumidification and cooling treatment; if the enthalpy value h of outdoor airWLess than the enthalpy value h of indoor airNFresh air windowThe opening degree is 90%, the opening degree of the ground exhaust window is 10%, and the frozen water is started;
when the outdoor air enthalpy hL4>hW>hL1When the opening degree of the fresh air window is 90 percent and the opening degree of the ground exhaust window is 10 percent, the chilled water is closed;
2) under the transition working condition, as shown in figure 5, making 1 '-2' -3 '-4' in an enthalpy-humidity diagram as a temperature and humidity allowable fluctuation range of a workshop under the transition working condition, and taking the lowest point 1 'and the highest point 4' of a control range; respective moisture contents d1 'and d 4' were calculated to have an intersection with the saturated relative humidity line of O1′And O2′Calculating enthalpy values h of two points1′And h2′Calculating the opening degree of a fresh air window under the transition working condition; the process of calculating the opening degree of the fresh air window under the transition working condition comprises the following steps:
the following formula is used for calculation:
Figure BDA0002509331880000071
wherein k is an adjusting coefficient, delta O is an opening adjusting deviation of the fresh air window, hNRepresenting the indoor enthalpy.
3) Under the cold working condition, when the enthalpy value h of outdoor airW<hLdWhen the opening degree of the fresh air window is 10 percent, the opening degree of the ground exhaust window is 90 percent.
In order to keep the micro-positive pressure of the workshop, the ground exhaust window and the fresh air window are controlled in a linkage mode, and the control algorithm of the ground exhaust window is as follows: o isd＝100-Ox。
And 4, setting an indoor temperature and humidity threshold, carrying out feedback comparison on the collected indoor temperature and humidity information and the indoor temperature and humidity threshold, inputting a feedback comparison result to the PLC, and calling an expert PID algorithm by the PLC to control the output frequency of the fan and the water pump.
The specific process of calling an expert PID algorithm by the PLC to control the output frequency of the fan and the water pump is as follows: after receiving the feedback comparison result, the PLC first judges whether the collected indoor temperature and humidity information is equal to the set indoor temperature and humidity threshold value, and if so, does not change the original output frequency of the fan and the water pump; otherwise, calculating a temperature sampling error and a humidity sampling error according to the indoor temperature and humidity information acquired twice, and controlling the output frequency of the fan and the water pump through an expert PID algorithm according to the temperature sampling error and the humidity sampling error until the temperature and humidity feedback value of the textile workshop is the same as the set value required by the textile workshop.
The specific process of controlling the output frequency of the fan and the water pump by an expert PID algorithm comprises the following steps: taking e (k-1) and e (k-2) as temperature and humidity errors of the textile workshop at two adjacent sampling moments, and taking delta e (k) -e (k-1) as the temperature and humidity error variation of the textile workshop at the current sampling moment; m1The absolute value of the limit error generated in the environment of good operation of the system;
when | e (k) | > M1And when e (k) delta e (k) is more than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k1{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}；
when | e (k) | > M1And when e (k) delta e (k) is less than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k2{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}
when | e (k) | < M1In time, the PLC controller controls the output frequency of the fan and the water pump to be:
f(k)＝f(k-1)+kp[e(k)-e(k-1)]+kie(k)；
when | e (k) | ═ M1And in time, the PLC controls the output frequency of the fan and the water pump to be kept unchanged.
And a certain textile mill in Ningxia adopts the control scheme to reform an air conditioner automatic control system. The temperature and humidity data of the workshop of 8 points per day in 1 month, 5 months and 8 months are respectively taken under the three working conditions, and the data are analyzed in the table 1, so that the temperature and humidity of the workshop are all within the control standard range and are very stable. From the annual operation data analysis, the air-conditioning automatic control system can control the temperature of the workshop to be +/-0.7 ℃; the relative humidity is controlled to be +/-2.5%.
TABLE 1 temperature and humidity control Range of workshop
Figure BDA0002509331880000081
After the air conditioner automatic control system is transformed, the requirements on the temperature and the humidity of a workshop can be well met, and the energy consumption is also obviously reduced. The power consumption of 1 month, 5 months and 8 months under the three operating conditions are respectively compared with the power consumption of the system before modification, and the test results are shown in table 2. Compared with a system before transformation, the transformed air-conditioning system has an obvious energy-saving effect, the power saving rate under the cold working condition is 8.09%, the power saving rate under the transition working condition is 12.30%, and the power saving rate under the high-temperature working condition is 6.93%.
TABLE 3 temperature and humidity control Range of workshop
Figure BDA0002509331880000082
By the mode, the textile air-conditioning energy-saving automatic control method based on the expert PID adopts the textile air-conditioning energy-saving automatic control system based on the expert PID, solves the problems that the cold and heat of the system are offset due to unreasonable partitioning of the air-conditioning system under the working condition all the year around, and the energy consumption of the air-conditioning system is large due to unreasonable introduction of outdoor fresh air on the basis of meeting the temperature and humidity requirements of a production workshop, and solves the problems that the textile air-conditioning automatic control system is long in adjusting time, difficult in adjusting control parameters and the like. The invention combines the existing equipment and system of the textile workshop, and particularly when the temperature and humidity outside the workshop has large change range and the temperature and humidity in the workshop are unstable, the system can quickly adjust the equipment of the air conditioning system, so that the temperature and humidity of the workshop are stabilized within a target range. The production process requirements of a workshop are ensured, and the purposes of high efficiency and energy saving are achieved.

Claims (7)

1. The textile air-conditioning energy-saving automatic control method based on the expert PID is characterized by comprising the following steps:
step 1, collecting indoor temperature and humidity information of a textile workshop through a temperature and humidity sensor, inputting the indoor temperature and humidity information into an enthalpy value calculation module of a PLC (programmable logic controller), and calculating an indoor enthalpy value corresponding to the temperature and humidity information;
step 2, calculating temperature, humidity and enthalpy values under the theoretical environment working condition, acquiring outdoor temperature, humidity and enthalpy information through a temperature and humidity sensor, calculating the outdoor enthalpy value, comparing the outdoor enthalpy value with the temperature, humidity and enthalpy values under the theoretical environment working condition, and determining the actual environment working condition;
step 3, under different actual environment working conditions, controlling the opening degree of the air window through comparison of the indoor enthalpy value and the outdoor enthalpy value;
and 4, setting an indoor temperature and humidity threshold, carrying out feedback comparison on the collected indoor temperature and humidity information and the indoor temperature and humidity threshold, inputting a feedback comparison result to the PLC, and calling an expert PID algorithm by the PLC to control the output frequency of the fan and the water pump.
2. The textile air-conditioning energy-saving automatic control method based on the expert PID as claimed in claim 1, wherein the specific process of calculating the temperature, humidity and enthalpy values under the theoretical environmental working condition in the step 2 is as follows:
under theoretical high-temperature working conditions: according to the requirements of a workshop, making a 1-2-3-4 high-temperature working condition workshop temperature and humidity allowable fluctuation range on an enthalpy-humidity diagram, calculating corresponding moisture contents at the lowest point 1 and the highest point 4 in the range, respectively making intersection points of the moisture contents and saturated relative humidity lines as L1 and L4, and respectively calculating an enthalpy value h at the intersection pointsL1And hL4；
In a theoretical cold working condition: according to the requirements of the workshop, 1 '-2' -3 '-4' on the enthalpy-humidity diagram is an allowable fluctuation range of the temperature and the humidity of the cold working condition workshop, and the lowest point h in the range1″For the isenthalpic line at the lowest point 1 "of the control range, the moisture content at point 1" is calculated and intersects the saturated relative humidity line at LdCalculating enthalpy value hLd；
Obtaining the air flow according to the formula of the minimum fresh air ratio m:
Figure FDA0002509331870000021
3. the textile air-conditioning energy-saving automatic control method based on expert PID as claimed in claim 2, wherein the specific process of determining the actual environment condition in step 2 is:
will make the outdoor enthalpy value hWComparing with the temperature, humidity and enthalpy value under the theoretical environment working condition, and obtaining the result:
when h is generatedW>hL1Automatically entering a high-temperature working condition;
when h is generatedWd<hW<hL1Automatically entering a transition working condition;
when h is generatedW<hWdAnd automatically entering a cold working condition.
4. The textile air-conditioning energy-saving automatic control method based on the expert PID as claimed in claim 3, wherein the specific process of the step 3 is as follows: the actual environment conditions include 3 conditions:
1) under high temperature conditions, hW>hL4If the outdoor enthalpy value hWGreater than indoor enthalpy value hNOpening the fresh air window by 10 percent and opening the ground exhaust window by 90 percent, starting the chilled water, and performing dehumidification and cooling treatment; if the enthalpy value h of outdoor airWLess than the enthalpy value h of indoor airNThe opening of the fresh air window is 90 percent, the opening of the ground exhaust window is 10 percent, and the chilled water is started;
when the outdoor air enthalpy hL4>hW>hL1When the opening degree of the fresh air window is 90 percent and the opening degree of the ground exhaust window is 10 percent, the chilled water is closed;
2) under a transition working condition, making 1 '-2' -3 '-4' in an enthalpy-humidity diagram as a temperature and humidity allowable fluctuation range of a workshop under the transition working condition, and taking the lowest point 1 'and the highest point 4' of a control range; respective moisture contents d1 'and d 4' were calculated to have an intersection with the saturated relative humidity line of O1′And O2′Calculating enthalpy values h of two points1′And h2′Calculating the opening degree of a fresh air window under the transition working condition;
3) under the cold working condition, when the enthalpy value h of outdoor airW<hLdWhen the opening degree of the fresh air window is 10 percent, the opening degree of the ground exhaust window is 90 percent.
5. The textile air-conditioning energy-saving automatic control method based on the expert PID as claimed in claim 1, wherein the process of calculating the opening degree of the fresh air window under the transition working condition is as follows:
the following formula is used for calculation:
Figure FDA0002509331870000031
wherein k is an adjusting coefficient, delta O is an opening adjusting deviation of the fresh air window, hNRepresenting the indoor enthalpy.
6. The textile air-conditioning energy-saving automatic control method based on the expert PID as claimed in claim 1, wherein the specific process of calling the expert PID algorithm by the PLC controller to control the output frequency of the fan and the water pump in the step 4 is as follows: after receiving the feedback comparison result, the PLC first judges whether the collected indoor temperature and humidity information is equal to the set indoor temperature and humidity threshold value, and if so, does not change the original output frequency of the fan and the water pump; otherwise, calculating a temperature sampling error and a humidity sampling error according to the indoor temperature and humidity information acquired twice, and controlling the output frequency of the fan and the water pump through an expert PID algorithm according to the temperature sampling error and the humidity sampling error.
7. The textile air-conditioning energy-saving automatic control method based on the expert PID as claimed in claim 5, wherein the specific process of controlling the output frequency of the fan and the water pump by the expert PID algorithm is as follows: taking e (k-1) and e (k-2) as temperature and humidity errors of the textile workshop at two adjacent sampling moments, and taking delta e (k) -e (k-1) as the temperature and humidity error variation of the textile workshop at the current sampling moment; m1The absolute value of the limit error generated in the environment of good operation of the system;
when | e (k) | > M1And when e (k) delta e (k) is more than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k1{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}；
when | e (k) | > M1And when e (k) delta e (k) is less than 0, the PLC controller controls the output frequency of the fan and the water pump to be as follows:
f(k)＝f(k-1)+k2{kp[e(k)-e(k-1)]+kie(k)+kd[e(k)-2e(k-1)+e(k-2)]}
when | e (k) | < M1In time, the PLC controller controls the output frequency of the fan and the water pump to be:
f(k)＝f(k-1)+kp[e(k)-e(k-1)]+kie(k)；
when | e (k) | ═ M1And in time, the PLC controls the output frequency of the fan and the water pump to be kept unchanged.
CN202010455842.1A 2020-05-26 2020-05-26 Textile air conditioner energy-saving automatic control method based on expert PID Expired - Fee Related CN111649459B (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114251787A (en) * 2021-12-21 2022-03-29 杭州师范大学 Air conditioning unit energy consumption optimization method based on meteorological information
CN114484725A (en) * 2022-04-01 2022-05-13 湖南桅灯智能科技有限公司 Air conditioner fresh air natural cooling dynamic control method and device
CN114909778A (en) * 2022-06-01 2022-08-16 福建永荣锦江股份有限公司 Enthalpy value controlled energy-saving central air conditioning method
CN115875830A (en) * 2023-01-04 2023-03-31 江苏荣泉科技发展有限公司 Multifunctional intelligent control system and method for chemical fiber spinning air conditioner
CN117308288A (en) * 2023-09-21 2023-12-29 中国工业互联网研究院 Method and device for predictive control of start and stop of wire-making air conditioner

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011080758A (en) * 2010-12-17 2011-04-21 Mitsubishi Electric Corp Control method of air conditioner
CN106545937A (en) * 2016-11-15 2017-03-29 河南华东工控技术有限公司 Air conditioning system and control method between spinning
CN108679774A (en) * 2018-05-30 2018-10-19 国安瑞（北京）科技有限公司 A kind of progress control method of fresh air system and fresh air system
CN110131842A (en) * 2019-04-02 2019-08-16 西安工程大学 A kind of spinning and weaving workshop air-conditioning system PLC autocontrol method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011080758A (en) * 2010-12-17 2011-04-21 Mitsubishi Electric Corp Control method of air conditioner
CN106545937A (en) * 2016-11-15 2017-03-29 河南华东工控技术有限公司 Air conditioning system and control method between spinning
CN108679774A (en) * 2018-05-30 2018-10-19 国安瑞（北京）科技有限公司 A kind of progress control method of fresh air system and fresh air system
CN110131842A (en) * 2019-04-02 2019-08-16 西安工程大学 A kind of spinning and weaving workshop air-conditioning system PLC autocontrol method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
刘建亭,董胜利: "纺织厂空调微机监控系统", 《山东师大学报(自然科学版)》 *
周义德,梁永智,何大四: "浮动露点恒湿控制法在纺织空调中的应用", 《棉纺织技术》 *
张军鹏: "分季节PLC步进算法节能自控系统的应用", 《棉纺织技术》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114251787A (en) * 2021-12-21 2022-03-29 杭州师范大学 Air conditioning unit energy consumption optimization method based on meteorological information
CN114251787B (en) * 2021-12-21 2023-02-03 杭州师范大学 Air conditioning unit energy consumption optimization method based on meteorological information
CN114484725A (en) * 2022-04-01 2022-05-13 湖南桅灯智能科技有限公司 Air conditioner fresh air natural cooling dynamic control method and device
CN114484725B (en) * 2022-04-01 2022-07-15 湖南桅灯智能科技有限公司 Air conditioner fresh air natural cooling dynamic control method and device
CN114909778A (en) * 2022-06-01 2022-08-16 福建永荣锦江股份有限公司 Enthalpy value controlled energy-saving central air conditioning method
CN115875830A (en) * 2023-01-04 2023-03-31 江苏荣泉科技发展有限公司 Multifunctional intelligent control system and method for chemical fiber spinning air conditioner
CN115875830B (en) * 2023-01-04 2023-11-21 江苏荣泉科技发展有限公司 Multifunctional intelligent control system and method for chemical fiber spinning air conditioner
CN117308288A (en) * 2023-09-21 2023-12-29 中国工业互联网研究院 Method and device for predictive control of start and stop of wire-making air conditioner
CN117308288B (en) * 2023-09-21 2024-04-19 中国工业互联网研究院 Method and device for predictive control of start and stop of wire-making air conditioner

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