High-efficiency and low-energy consumption sludge low-temperature drying system and control method thereof

Abstract

The present invention discloses a high-efficiency and low-energy consumption sludge low-temperature drying system and a control method thereof, which relates to the field of heat pump drying and solves the problem of poor control effect of the existing sludge low-temperature drying system. The system comprises a data monitoring module: used for respectively obtaining the cumulative processing time of sludge, the real-time moisture content of sludge, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the environmental humidity monitoring coefficient to obtain the drying system equipment monitoring data; a first control module: used for analyzing the drying system equipment monitoring data to perform heating control and drying control on the sludge drying system; a second control module: used for analyzing the drying system equipment monitoring data to perform dehumidification control and ventilation control on the sludge drying system. The present invention can improve the control efficiency and work efficiency of the sludge drying system.

Description

Technical Field

[0001] The invention belongs to the field of heat pump drying and relates to data analysis technology, specifically to a high-efficiency, low-energy consumption sludge low-temperature drying system and a control method thereof. Background Art

[0002] The existing sludge low-temperature drying system has the following specific defects when being controlled:

[0003] 1. The existing sludge low-temperature drying system is under control and cannot comprehensively judge the equipment operation requirements by integrating the periodic value changes of sensors at multiple different locations, which leads to unsatisfactory sludge drying effect;

[0004] 2. The existing sludge low-temperature drying system cannot automatically control the coordination of heating, ventilation, drying and dehumidification functions, and requires manual control, resulting in low control efficiency.

[0005] To this end, we propose a high-efficiency, low-energy consumption sludge low-temperature drying system and its control method. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide a high-efficiency, low-energy consumption sludge low-temperature drying system and a control method thereof, and the present invention aims to improve the control efficiency and working efficiency of the sludge low-temperature drying system.

[0007] In order to achieve the above purpose, the present invention adopts the following technical scheme: high-efficiency and low-energy consumption sludge low-temperature drying system, the specific working process of each module is as follows:

[0008] Data monitoring module: used to obtain the cumulative sludge treatment time, real-time sludge moisture content, cavity temperature monitoring coefficient, pipeline temperature monitoring coefficient, cavity humidity monitoring coefficient and ambient humidity monitoring coefficient, and obtain the drying system equipment monitoring data;

[0009] The first control module is used to analyze the monitoring data of the drying system equipment to obtain the equipment heating control coefficient and the equipment drying control coefficient, perform heating control on the sludge drying system through the equipment heating control coefficient, and perform drying control on the sludge drying system according to the equipment drying control coefficient;

[0010] The second control module is used to analyze the drying system equipment monitoring data to obtain the equipment dehumidification control coefficient and the equipment ventilation control coefficient, perform dehumidification control on the sludge drying system through the equipment dehumidification control coefficient, and perform ventilation control on the sludge drying system according to the equipment ventilation control coefficient.

[0011] Further, the data monitoring module includes a heating unit, a ventilation unit, a dehumidification unit and a drying unit;

[0012] When the sludge low-temperature drying system is working, the time corresponding to the current moment is marked as the first system monitoring time value, the time value corresponding to a characteristic monitoring duration before the first system monitoring time value is marked as the second system monitoring time value, and the period between the first system monitoring time value and the second system monitoring time value is marked as the equipment real-time monitoring cycle;

[0013] The start time value of the sludge low-temperature drying system for treating the current batch of sludge is obtained to obtain the treatment start time value, the difference between the treatment start time value and the first system monitoring time value is calculated, and the absolute value of the obtained difference is taken to obtain the cumulative sludge treatment time;

[0014] Obtain real-time moisture content of sludge;

[0015] The heating unit monitors the cavity temperature of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity temperature monitoring coefficient;

[0016] The ventilation unit monitors the ventilation duct temperature of the drying equipment in the real-time monitoring period of the equipment to obtain the duct temperature monitoring coefficient;

[0017] The dehumidification unit monitors the cavity humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity humidity monitoring coefficient;

[0018] The drying unit monitors the environmental humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the environmental humidity monitoring coefficient;

[0019] The cumulative sludge treatment time, real-time sludge moisture content, cavity temperature monitoring coefficient, pipeline temperature monitoring coefficient, cavity humidity monitoring coefficient and ambient humidity monitoring coefficient are defined as the drying system equipment monitoring data.

[0020] Furthermore, the heating unit obtains the cavity temperature monitoring coefficient as follows:

[0021] In the real-time monitoring cycle of the equipment, a number of drying characteristic time points are marked, and the marked drying characteristic time points are named as the first drying characteristic time point to the ath drying characteristic time point in chronological order;

[0022] A plurality of cavity temperature sensors are arranged inside the cavity of the drying device, and one cavity temperature sensor is randomly selected from the plurality of temperature sensors as a sample cavity temperature sensor;

[0023] Obtain cavity temperature values ​​corresponding to the first drying characteristic time point to the ath drying characteristic time point of the sample cavity temperature sensor, and obtain the first cavity temperature value to the ath cavity temperature value;

[0024] Calculate the average of the first cavity temperature value to the ath cavity temperature value to obtain the cavity monitoring average temperature value corresponding to the sample cavity temperature sensor;

[0025] Calculate the median of the first cavity temperature value to the ath cavity temperature value to obtain the median of the cavity monitoring temperature corresponding to the sample cavity temperature sensor;

[0026] The cavity temperature coefficient corresponding to the sample cavity temperature sensor is obtained by calculating the average cavity monitoring temperature value and the median cavity monitoring temperature;

[0027] The cavity temperature coefficient corresponding to the sample cavity temperature sensor is calculated. The specific formula is as follows:

[0028] ;

[0029] Among them, Qwx is the cavity temperature coefficient corresponding to the sample cavity temperature sensor, Wzz is the median of the cavity monitoring temperature, and Wpj is the average temperature value of the cavity monitoring;

[0030] Repeat the process of obtaining the cavity temperature coefficient corresponding to the sample cavity temperature sensor, respectively obtain the cavity temperature coefficient corresponding to each cavity temperature sensor, and obtain multiple cavity temperature coefficients;

[0031] The average of the obtained multiple cavity temperature coefficients is calculated to obtain the cavity temperature monitoring coefficient.

[0032] Furthermore, the ventilation unit obtains the pipeline temperature monitoring coefficient as follows:

[0033] In the real-time monitoring cycle of the equipment, several pipeline temperature monitoring time points are marked to obtain multiple pipeline temperature monitoring time points;

[0034] A plurality of pipe temperature sensors are arranged inside the ventilation pipe of the drying equipment, and one pipe temperature sensor is randomly selected from the plurality of temperature sensors as a sample pipe temperature sensor;

[0035] Obtain the pipeline temperature values ​​corresponding to each pipeline temperature monitoring time point by the sample pipeline temperature sensor to obtain multiple pipeline temperature values;

[0036] Calculate the average of the multiple pipeline temperature values ​​obtained to obtain the pipeline monitoring average temperature value corresponding to the sample pipeline temperature sensor;

[0037] Calculate the median of the multiple pipeline temperature values ​​obtained to obtain the median of the pipeline monitoring temperature corresponding to the sample pipeline temperature sensor;

[0038] The pipeline temperature coefficient corresponding to the sample pipeline temperature sensor is obtained by calculating the average pipeline monitoring temperature value and the pipeline monitoring temperature median;

[0039] Calculate the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor. The specific formula is as follows:

[0040] ;

[0041] Among them, Gwx is the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, Gzz is the median of the pipeline monitoring temperature, and Gpj is the average temperature value of the pipeline monitoring;

[0042] Repeat the process of obtaining the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, respectively obtain the pipeline temperature coefficient corresponding to each pipeline temperature sensor, and obtain multiple pipeline temperature coefficients;

[0043] The average of the multiple pipeline temperature coefficients obtained is calculated to obtain the pipeline temperature monitoring coefficient.

[0044] Furthermore, the dehumidification unit obtains the cavity humidity monitoring coefficient as follows:

[0045] In the real-time monitoring cycle of the equipment, several cavity humidity monitoring time points are marked to obtain multiple cavity humidity monitoring time points;

[0046] A plurality of cavity humidity sensors are arranged inside the ventilation cavity of the drying device, and one cavity humidity sensor is randomly selected from the plurality of humidity sensors as a sample cavity humidity sensor;

[0047] Obtaining cavity humidity values ​​corresponding to each cavity humidity monitoring time point of the sample cavity humidity sensor to obtain multiple cavity humidity values;

[0048] Calculate the average of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring average humidity value corresponding to the sample cavity humidity sensor;

[0049] Calculate the median of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring humidity median corresponding to the sample cavity humidity sensor;

[0050] The cavity humidity coefficient corresponding to the sample cavity humidity sensor is obtained by calculating the cavity monitoring average humidity value and the cavity monitoring median humidity value;

[0051] Calculate the cavity humidity coefficient corresponding to the sample cavity humidity sensor. The specific formula is as follows:

[0052] ;

[0053] Among them, Qsx is the cavity humidity coefficient corresponding to the sample cavity humidity sensor, Qzz is the median of cavity monitoring humidity, and Qpj is the average humidity value of cavity monitoring;

[0054] Repeat the process of obtaining the cavity humidity coefficient corresponding to the sample cavity humidity sensor, respectively obtain the cavity humidity coefficient corresponding to each cavity humidity sensor, and obtain multiple cavity humidity monitoring coefficients;

[0055] The obtained multiple cavity humidity coefficients are averaged to obtain the cavity humidity monitoring coefficient.

[0056] Furthermore, the drying unit obtains the environmental humidity monitoring coefficient as follows:

[0057] In the real-time monitoring cycle of the equipment, several environmental humidity monitoring time points are marked to obtain multiple environmental humidity monitoring time points;

[0058] A plurality of environmental humidity sensors are arranged in the ventilation environment of the drying equipment, and one environmental humidity sensor is randomly selected from the plurality of humidity sensors as a sample environmental humidity sensor;

[0059] Obtaining the ambient humidity values ​​corresponding to each ambient humidity monitoring time point of the sample ambient humidity sensor to obtain multiple ambient humidity values;

[0060] Calculate the average of the obtained multiple environmental humidity values ​​to obtain the environmental monitoring average humidity value corresponding to the sample environmental humidity sensor;

[0061] Calculate the median of the obtained multiple environmental humidity values ​​to obtain the median of the environmental monitoring humidity corresponding to the sample environmental humidity sensor;

[0062] The environmental humidity coefficient corresponding to the sample environmental humidity sensor is obtained by calculating the average humidity value of environmental monitoring and the median humidity of environmental monitoring;

[0063] Calculate the ambient humidity coefficient corresponding to the sample ambient humidity sensor. The specific formula is as follows:

[0064] ;

[0065] Among them, Hsx is the environmental humidity coefficient corresponding to the sample environmental humidity sensor, Hzz is the median of environmental monitoring humidity, and Hpj is the average humidity value of environmental monitoring;

[0066] Repeat the process of obtaining the environmental humidity coefficient corresponding to the sample environmental humidity sensor, respectively obtain the environmental humidity coefficient corresponding to each environmental humidity sensor, and obtain multiple environmental humidity coefficients;

[0067] The obtained multiple environmental humidity coefficients are averaged to obtain the environmental humidity monitoring coefficient.

[0068] Furthermore, the first control module performs drying control on the sludge drying system, specifically as follows:

[0069] Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity temperature monitoring coefficient, and the environmental humidity monitoring coefficient according to the monitoring data of the drying system equipment;

[0070] Control the heating supply to the sludge drying system;

[0071] Carry out drying control on sludge drying system;

[0072] The details are as follows:

[0073] The equipment drying control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the environmental humidity monitoring coefficient;

[0074] The equipment drying control coefficient is calculated as follows:

[0075] ;

[0076] Among them, Gkx is the equipment drying control coefficient, Nhs is the real-time moisture content of sludge, Qsx is the environmental humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0077] Obtaining a threshold value of a drying control coefficient of the equipment, comparing the numerical value of the drying control coefficient of the equipment with the threshold value of the drying control coefficient of the equipment, and controlling the drying equipment according to the comparison result;

[0078] When the equipment drying control coefficient is greater than or equal to the equipment drying control coefficient threshold, the drying equipment is controlled to increase the working power;

[0079] When the equipment drying control coefficient is less than the equipment drying control coefficient threshold, the drying equipment is controlled to maintain the current working power.

[0080] Furthermore, the first control module performs heat supply control on the sludge drying system, specifically as follows:

[0081] The equipment heating control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity temperature monitoring coefficient;

[0082] The equipment heating control coefficient is calculated as follows:

[0083] ;

[0084] Among them, Rkx is the equipment heating control coefficient, Nhs is the real-time moisture content of sludge, Ssx is the cavity temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0085] Obtaining a threshold value of a heating control coefficient of the device, comparing the heating control coefficient of the device with the threshold value of the heating control coefficient of the device, and controlling the heating device according to the comparison result;

[0086] When the equipment heating control coefficient is greater than or equal to the equipment heating control coefficient threshold, the heating equipment is controlled to increase the heating power;

[0087] When the equipment heating control coefficient is less than the equipment heating control coefficient threshold, the heating equipment is controlled to maintain the current heating power.

[0088] Furthermore, the second control module performs dehumidification control and ventilation control on the sludge drying system, as follows:

[0089] Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity humidity monitoring coefficient, and the pipeline temperature monitoring coefficient according to the monitoring data of the drying system equipment;

[0090] Dehumidification control for sludge drying system;

[0091] The details are as follows:

[0092] The equipment dehumidification control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity humidity monitoring coefficient;

[0093] The dehumidification control coefficient of the equipment is calculated as follows:

[0094] ;

[0095] Among them, Csx is the dehumidification control coefficient of the equipment, Nhs is the real-time moisture content of the sludge, Tsx is the chamber humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0096] Obtaining a dehumidification control coefficient threshold of the device, comparing the dehumidification control coefficient of the device with the dehumidification control coefficient threshold of the device, and controlling the dehumidification device according to the comparison result;

[0097] When the dehumidification control coefficient of the equipment is greater than or equal to the dehumidification control coefficient threshold of the equipment, the dehumidification equipment is controlled to increase the working power;

[0098] When the dehumidification control coefficient of the device is less than the dehumidification control coefficient threshold of the device, the dehumidification device is controlled to maintain the current working power;

[0099] Ventilation control for sludge drying system;

[0100] The details are as follows:

[0101] The equipment ventilation control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the pipeline temperature monitoring coefficient;

[0102] The equipment ventilation control coefficient is calculated as follows:

[0103] ;

[0104] Among them, Tfx is the equipment ventilation control coefficient, Nhs is the real-time moisture content of sludge, Gsx is the pipeline temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0105] Obtaining a threshold value of a ventilation control coefficient of the equipment, comparing the numerical value of the ventilation control coefficient of the equipment with the threshold value of the ventilation control coefficient of the equipment, and controlling the ventilation equipment according to the comparison result;

[0106] When the equipment ventilation control coefficient is greater than or equal to the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to increase the working power;

[0107] When the equipment ventilation control coefficient is less than the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to maintain the current working power.

[0108] The high-efficiency and low-energy consumption sludge low-temperature drying control method comprises the following specific steps:

[0109] Step S1: respectively obtaining the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient to obtain the drying system equipment monitoring data;

[0110] Step S2: acquiring the equipment heating control coefficient and the equipment drying control coefficient by analyzing the drying system equipment monitoring data, performing heating control on the sludge drying system by the equipment heating control coefficient, and performing drying control on the sludge drying system according to the equipment drying control coefficient;

[0111] Step S3: Obtain the equipment dehumidification control coefficient and the equipment ventilation control coefficient by analyzing the drying system equipment monitoring data, perform dehumidification control on the sludge drying system by the equipment dehumidification control coefficient, and perform ventilation control on the sludge drying system according to the equipment ventilation control coefficient.

[0112] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0113] 1. The present invention obtains the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient to monitor the working state of the drying system, which can reflect the working state of the drying system in real time and provide more comprehensive operation reference indicators for the staff, which is conducive to the technical progress of the sludge drying system by the staff;

[0114] 2. The present invention performs automated functional control on the drying system by analyzing the equipment heating control coefficient, the equipment drying control coefficient, the equipment dehumidification control coefficient and the equipment ventilation control coefficient, thereby improving the control efficiency and working efficiency of the sludge drying system. BRIEF DESCRIPTION OF THE DRAWINGS

[0115] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0116] Figure 1 is the overall system block diagram of the present invention;

[0117] Figure 2 It is a diagram of the implementation steps of the present invention. DETAILED DESCRIPTION

[0118] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0119] Embodiment 1

[0120] See also Figure 1 The present invention provides a technical solution: a high-efficiency and low-energy consumption sludge low-temperature drying system and a control method thereof, comprising a data monitoring module, a first control module, a second control module and a server, wherein the data monitoring module, the first control module and the second control module are respectively connected to the server, and the server controls the data monitoring module, the first control module and the second control module respectively;

[0121] The data monitoring module obtains the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient, and obtains the drying system equipment monitoring data;

[0122] The data monitoring module includes a heating unit, a ventilation unit, a dehumidification unit and a drying unit;

[0123] When the sludge low-temperature drying system is working, the time corresponding to the current moment is marked as the first system monitoring time value, the time value corresponding to a characteristic monitoring duration before the first system monitoring time value is marked as the second system monitoring time value, and the period between the first system monitoring time value and the second system monitoring time value is marked as the equipment real-time monitoring cycle;

[0124] It should be noted here that:

[0125] In the present application, as the time value corresponding to the current moment changes, the first system monitoring time value and the second system monitoring time value also change accordingly, thereby realizing dynamic update of the real-time monitoring cycle of the device;

[0126] The start time value of the sludge low-temperature drying system for treating the current batch of sludge is obtained to obtain the treatment start time value, the difference between the treatment start time value and the first system monitoring time value is calculated, and the absolute value of the obtained difference is taken to obtain the cumulative sludge treatment time;

[0127] Obtain real-time moisture content of sludge;

[0128] The details are as follows:

[0129] A gravity sensor is set at the bottom of the cavity, and the pressure value corresponding to the unit volume of sludge in the unit drying cavity is obtained through the gravity sensor to obtain the sludge monitoring pressure value;

[0130] Obtaining the weight value of the unit volume of sludge loaded in the drying chamber after drying, and obtaining the sludge drying weight value;

[0131] It should be noted here that:

[0132] The sludge drying weight value involved here needs to be obtained by analyzing historical drying data;

[0133] The real-time moisture content of the sludge is obtained by calculating the sludge monitoring pressure value and the sludge drying weight value;

[0134] The real-time moisture content of sludge is calculated using the following formula:

[0135] ;

[0136] Among them, Hsl is the real-time moisture content of the sludge, Njy is the sludge monitoring pressure value, Whg is the sludge drying weight value, and g is the gravity constant.

[0137] The heating unit monitors the cavity temperature of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity temperature monitoring coefficient;

[0138] The details are as follows:

[0139] In the real-time monitoring cycle of the equipment, a number of drying characteristic time points are marked, and the marked drying characteristic time points are named as the first drying characteristic time point to the ath drying characteristic time point in chronological order;

[0140] It should be noted here that:

[0141] In the present application, a referred to herein is a quantitative value corresponding to a drying characteristic time point, and a is an integer greater than 0;

[0142] A plurality of cavity temperature sensors are arranged inside the cavity of the drying device, and one cavity temperature sensor is randomly selected from the plurality of temperature sensors as a sample cavity temperature sensor;

[0143] It should be noted here that:

[0144] In the present application, the interior of the chamber referred to herein specifically refers to the chamber area where the drying chamber is in direct contact with the sludge;

[0145] Obtain cavity temperature values ​​corresponding to the first drying characteristic time point to the ath drying characteristic time point of the sample cavity temperature sensor, and obtain the first cavity temperature value to the ath cavity temperature value;

[0146] Calculate the average of the first cavity temperature value to the ath cavity temperature value to obtain the cavity monitoring average temperature value corresponding to the sample cavity temperature sensor;

[0147] Calculate the median of the first cavity temperature value to the ath cavity temperature value to obtain the median of the cavity monitoring temperature corresponding to the sample cavity temperature sensor;

[0148] The cavity temperature coefficient corresponding to the sample cavity temperature sensor is obtained by calculating the average cavity monitoring temperature value and the median cavity monitoring temperature;

[0149] The cavity temperature coefficient corresponding to the sample cavity temperature sensor is calculated. The specific formula is as follows:

[0150] ;

[0151] Among them, Qwx is the cavity temperature coefficient corresponding to the sample cavity temperature sensor, Wzz is the median of the cavity monitoring temperature, and Wpj is the average temperature value of the cavity monitoring;

[0152] Repeat the process of obtaining the cavity temperature coefficient corresponding to the sample cavity temperature sensor, respectively obtain the cavity temperature coefficient corresponding to each cavity temperature sensor, and obtain multiple cavity temperature coefficients;

[0153] Calculate the average of the multiple cavity temperature coefficients obtained to obtain the cavity temperature monitoring coefficient;

[0154] The ventilation unit monitors the ventilation duct temperature of the drying equipment in the real-time monitoring period of the equipment to obtain the duct temperature monitoring coefficient;

[0155] The details are as follows:

[0156] In the real-time monitoring cycle of the equipment, several pipeline temperature monitoring time points are marked to obtain multiple pipeline temperature monitoring time points;

[0157] A plurality of pipe temperature sensors are arranged inside the ventilation pipe of the drying equipment, and one pipe temperature sensor is randomly selected from the plurality of temperature sensors as a sample pipe temperature sensor;

[0158] Obtain the pipeline temperature values ​​corresponding to each pipeline temperature monitoring time point by the sample pipeline temperature sensor to obtain multiple pipeline temperature values;

[0159] Calculate the average of the multiple pipeline temperature values ​​obtained to obtain the pipeline monitoring average temperature value corresponding to the sample pipeline temperature sensor;

[0160] Calculate the median of the multiple pipeline temperature values ​​obtained to obtain the median of the pipeline monitoring temperature corresponding to the sample pipeline temperature sensor;

[0161] The pipeline temperature coefficient corresponding to the sample pipeline temperature sensor is obtained by calculating the average pipeline monitoring temperature value and the pipeline monitoring temperature median;

[0162] Calculate the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor. The specific formula is as follows:

[0163] ;

[0164] Among them, Gwx is the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, Gzz is the median of the pipeline monitoring temperature, and Gpj is the average temperature value of the pipeline monitoring;

[0165] Repeat the process of obtaining the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, respectively obtain the pipeline temperature coefficient corresponding to each pipeline temperature sensor, and obtain multiple pipeline temperature coefficients;

[0166] Calculate the average of the multiple pipeline temperature coefficients obtained to obtain the pipeline temperature monitoring coefficient;

[0167] The dehumidification unit monitors the cavity humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity humidity monitoring coefficient;

[0168] The details are as follows:

[0169] In the real-time monitoring cycle of the equipment, several cavity humidity monitoring time points are marked to obtain multiple cavity humidity monitoring time points;

[0170] A plurality of cavity humidity sensors are arranged inside the ventilation cavity of the drying device, and one cavity humidity sensor is randomly selected from the plurality of humidity sensors as a sample cavity humidity sensor;

[0171] It should be noted here that:

[0172] In the present application, the interior of the chamber referred to herein specifically refers to the chamber area where the drying chamber is in direct contact with the sludge;

[0173] Obtaining cavity humidity values ​​corresponding to each cavity humidity monitoring time point of the sample cavity humidity sensor to obtain multiple cavity humidity values;

[0174] Calculate the average of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring average humidity value corresponding to the sample cavity humidity sensor;

[0175] Calculate the median of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring humidity median corresponding to the sample cavity humidity sensor;

[0176] The cavity humidity coefficient corresponding to the sample cavity humidity sensor is obtained by calculating the cavity monitoring average humidity value and the cavity monitoring median humidity value;

[0177] Calculate the cavity humidity coefficient corresponding to the sample cavity humidity sensor. The specific formula is as follows:

[0178] ;

[0179] Among them, Qsx is the cavity humidity coefficient corresponding to the sample cavity humidity sensor, Qzz is the median of cavity monitoring humidity, and Qpj is the average humidity value of cavity monitoring;

[0180] Repeat the process of obtaining the cavity humidity coefficient corresponding to the sample cavity humidity sensor, respectively obtain the cavity humidity coefficient corresponding to each cavity humidity sensor, and obtain multiple cavity humidity monitoring coefficients;

[0181] Calculate the average of the obtained multiple cavity humidity coefficients to obtain the cavity humidity monitoring coefficient;

[0182] The drying unit monitors the environmental humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the environmental humidity monitoring coefficient;

[0183] The details are as follows:

[0184] In the real-time monitoring cycle of the equipment, several environmental humidity monitoring time points are marked to obtain multiple environmental humidity monitoring time points;

[0185] A plurality of environmental humidity sensors are arranged in the ventilation environment of the drying equipment, and one environmental humidity sensor is randomly selected from the plurality of humidity sensors as a sample environmental humidity sensor;

[0186] It should be noted here that:

[0187] In the present application, the area where the ambient humidity sensor is arranged is specifically the cavity area of ​​the drying cavity that is not in direct contact with the sludge;

[0188] Obtaining the ambient humidity values ​​corresponding to each ambient humidity monitoring time point of the sample ambient humidity sensor to obtain multiple ambient humidity values;

[0189] Calculate the average of the obtained multiple environmental humidity values ​​to obtain the environmental monitoring average humidity value corresponding to the sample environmental humidity sensor;

[0190] Calculate the median of the obtained multiple environmental humidity values ​​to obtain the median of the environmental monitoring humidity corresponding to the sample environmental humidity sensor;

[0191] The environmental humidity coefficient corresponding to the sample environmental humidity sensor is obtained by calculating the average humidity value of environmental monitoring and the median humidity of environmental monitoring;

[0192] Calculate the ambient humidity coefficient corresponding to the sample ambient humidity sensor. The specific formula is as follows:

[0193] ;

[0194] Among them, Hsx is the environmental humidity coefficient corresponding to the sample environmental humidity sensor, Hzz is the median of environmental monitoring humidity, and Hpj is the average humidity value of environmental monitoring;

[0195] Repeat the process of obtaining the environmental humidity coefficient corresponding to the sample environmental humidity sensor, respectively obtain the environmental humidity coefficient corresponding to each environmental humidity sensor, and obtain multiple environmental humidity coefficients;

[0196] Calculate the average of the obtained multiple environmental humidity coefficients to obtain the environmental humidity monitoring coefficient;

[0197] The accumulated sludge treatment time, real-time sludge moisture content, cavity temperature monitoring coefficient, pipeline temperature monitoring coefficient, cavity humidity monitoring coefficient and ambient humidity monitoring coefficient are defined as the drying system equipment monitoring data;

[0198] The data monitoring device acquires the monitoring data of the drying system equipment and transmits it to the first control module and the second control module;

[0199] The first control module obtains the equipment heating control coefficient and the equipment drying control coefficient by analyzing the drying system equipment monitoring data, performs heating control on the sludge drying system through the equipment heating control coefficient, and performs drying control on the sludge drying system according to the equipment drying control coefficient;

[0200] The details are as follows:

[0201] Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity temperature monitoring coefficient, and the environmental humidity monitoring coefficient according to the monitoring data of the drying system equipment;

[0202] Control the heating supply to the sludge drying system;

[0203] The details are as follows:

[0204] The equipment heating control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity temperature monitoring coefficient;

[0205] The equipment heating control coefficient is calculated as follows:

[0206] ;

[0207] Among them, Rkx is the equipment heating control coefficient, Nhs is the real-time moisture content of sludge, Ssx is the cavity temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0208] Obtaining a threshold value of a heating control coefficient of the device, comparing the heating control coefficient of the device with the threshold value of the heating control coefficient of the device, and controlling the heating device according to the comparison result;

[0209] It should be noted here that:

[0210] In this application, the threshold value of the equipment heating control coefficient involved here needs to be specifically set according to the historical working data of the low-temperature drying system;

[0211] When the equipment heating control coefficient is greater than or equal to the equipment heating control coefficient threshold, the heating equipment is controlled to increase the heating power;

[0212] When the equipment heating control coefficient is less than the equipment heating control coefficient threshold, the heating equipment is controlled to maintain the current heating power;

[0213] Carry out drying control on sludge drying system;

[0214] The details are as follows:

[0215] The equipment drying control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the environmental humidity monitoring coefficient;

[0216] The equipment drying control coefficient is calculated as follows:

[0217] ;

[0218] Among them, Gkx is the equipment drying control coefficient, Nhs is the real-time moisture content of sludge, Qsx is the environmental humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0219] Obtaining a threshold value of a drying control coefficient of the equipment, comparing the numerical value of the drying control coefficient of the equipment with the threshold value of the drying control coefficient of the equipment, and controlling the drying equipment according to the comparison result;

[0220] It should be noted here that:

[0221] In this application, the threshold value of the equipment drying control coefficient involved here needs to be specifically set according to the historical working data of the low-temperature drying system;

[0222] When the equipment drying control coefficient is greater than or equal to the equipment drying control coefficient threshold, the drying equipment is controlled to increase the working power;

[0223] When the equipment drying control coefficient is less than the equipment drying control coefficient threshold, the drying equipment is controlled to maintain the current working power.

[0224] The second control module obtains the equipment dehumidification control coefficient and the equipment ventilation control coefficient by analyzing the drying system equipment monitoring data, performs dehumidification control on the sludge drying system through the equipment dehumidification control coefficient, and performs ventilation control on the sludge drying system according to the equipment ventilation control coefficient;

[0225] The details are as follows:

[0226] Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time sludge moisture content, the cavity humidity monitoring coefficient, and the pipeline temperature monitoring coefficient according to the monitoring data of the drying system equipment;

[0227] Dehumidification control for sludge drying system;

[0228] The details are as follows:

[0229] The equipment dehumidification control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity humidity monitoring coefficient;

[0230] The dehumidification control coefficient of the equipment is calculated as follows:

[0231] ;

[0232] Among them, Csx is the dehumidification control coefficient of the equipment, Nhs is the real-time moisture content of the sludge, Tsx is the chamber humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0233] Obtaining a dehumidification control coefficient threshold of the device, comparing the dehumidification control coefficient of the device with the dehumidification control coefficient threshold of the device, and controlling the dehumidification device according to the comparison result;

[0234] It should be noted here that:

[0235] In this application, the threshold value of the equipment dehumidification control coefficient involved here needs to be specifically set according to the historical working data of the low-temperature drying system;

[0236] When the dehumidification control coefficient of the equipment is greater than or equal to the dehumidification control coefficient threshold of the equipment, the dehumidification equipment is controlled to increase the working power;

[0237] When the dehumidification control coefficient of the device is less than the dehumidification control coefficient threshold of the device, the dehumidification device is controlled to maintain the current working power;

[0238] Ventilation control for sludge drying system;

[0239] The details are as follows:

[0240] The equipment ventilation control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the pipeline temperature monitoring coefficient;

[0241] The equipment ventilation control coefficient is calculated as follows:

[0242] ;

[0243] Among them, Tfx is the equipment ventilation control coefficient, Nhs is the real-time moisture content of sludge, Gsx is the pipeline temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0244] Obtaining a threshold value of a ventilation control coefficient of the equipment, comparing the numerical value of the ventilation control coefficient of the equipment with the threshold value of the ventilation control coefficient of the equipment, and controlling the ventilation equipment according to the comparison result;

[0245] It should be noted here that:

[0246] In this application, the threshold value of the equipment ventilation control coefficient involved here needs to be specifically set according to the historical working data of the low-temperature drying system;

[0247] When the equipment ventilation control coefficient is greater than or equal to the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to increase the working power;

[0248] When the equipment ventilation control coefficient is less than the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to maintain the current working power.

[0249] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0250] Embodiment 2

[0251] See also Figure 2 Based on another concept of the same invention, a high-efficiency and low-energy consumption sludge low-temperature drying control method is now proposed, comprising the following steps:

[0252] Step S1: respectively obtaining the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient to obtain the drying system equipment monitoring data;

[0253] Step S11: When the sludge low-temperature drying system is working, the time corresponding to the current moment is marked as the first system monitoring time value, the time value corresponding to a characteristic monitoring time before the first system monitoring time value is marked as the second system monitoring time value, and the period between the first system monitoring time value and the second system monitoring time value is marked as the equipment real-time monitoring cycle;

[0254] Step S12: obtaining the start time value of the current batch of sludge processed by the sludge low temperature drying system to obtain the processing start time value, calculating the difference between the processing start time value and the first system monitoring time value, and taking the absolute value of the obtained difference to obtain the cumulative sludge processing time;

[0255] Step S13: obtaining the real-time moisture content of the sludge;

[0256] Step S14: the heating unit monitors the cavity temperature of the drying equipment in the real-time monitoring period of the equipment to obtain a cavity temperature monitoring coefficient;

[0257] The details are as follows:

[0258] Step S141: in the real-time monitoring cycle of the device, a plurality of drying characteristic time points are marked, and the marked drying characteristic time points are named as the first drying characteristic time point to the ath drying characteristic time point in chronological order;

[0259] Step S142: setting a plurality of cavity temperature sensors inside the cavity of the drying device, and arbitrarily selecting a cavity temperature sensor from the plurality of temperature sensors as a sample cavity temperature sensor;

[0260] Step S143: acquiring cavity temperature values ​​corresponding to the first drying characteristic time point to the ath drying characteristic time point of the sample cavity temperature sensor, and obtaining the first cavity temperature value to the ath cavity temperature value;

[0261] Step S144: Calculate the average of the first cavity temperature value to the ath cavity temperature value to obtain the cavity monitoring average temperature value corresponding to the sample cavity temperature sensor;

[0262] Step S145: Calculate the median of the first cavity temperature value to the ath cavity temperature value to obtain the median of the cavity monitoring temperature corresponding to the sample cavity temperature sensor;

[0263] Step S146: Calculate the cavity temperature coefficient corresponding to the sample cavity temperature sensor by using the cavity monitoring average temperature value and the cavity monitoring temperature median;

[0264] The cavity temperature coefficient corresponding to the sample cavity temperature sensor is calculated. The specific formula is as follows:

[0265] ;

[0266] Among them, Qwx is the cavity temperature coefficient corresponding to the sample cavity temperature sensor, Wzz is the median of the cavity monitoring temperature, and Wpj is the average temperature value of the cavity monitoring;

[0267] Step S147: acquiring the cavity temperature coefficient corresponding to each cavity temperature sensor respectively to obtain a plurality of cavity temperature coefficients;

[0268] Step S148: Calculate the average of the multiple cavity temperature coefficients obtained to obtain the cavity temperature monitoring coefficient;

[0269] Step S15: monitoring the ventilation duct temperature of the drying equipment in the equipment real-time monitoring period to obtain the duct temperature monitoring coefficient;

[0270] The details are as follows:

[0271] Step S151: In the real-time monitoring cycle of the equipment, mark a number of pipeline temperature monitoring time points to obtain a plurality of pipeline temperature monitoring time points;

[0272] Step S152: a plurality of pipe temperature sensors are arranged inside the ventilation pipe of the drying equipment, and one pipe temperature sensor is randomly selected from the plurality of temperature sensors as a sample pipe temperature sensor;

[0273] Step S153: obtaining the pipeline temperature values ​​corresponding to each pipeline temperature monitoring time point of the sample pipeline temperature sensor, and obtaining a plurality of pipeline temperature values;

[0274] Step S154: Calculate the average of the multiple pipeline temperature values ​​obtained to obtain the pipeline monitoring average temperature value corresponding to the sample pipeline temperature sensor;

[0275] Step S155: performing median calculation on the obtained multiple pipeline temperature values ​​to obtain the median of the pipeline monitoring temperature corresponding to the sample pipeline temperature sensor;

[0276] Step S156: Calculate the average temperature value of pipeline monitoring and the median temperature of pipeline monitoring to obtain the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor;

[0277] Calculate the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor. The specific formula is as follows:

[0278] ;

[0279] Among them, Gwx is the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, Gzz is the median of the pipeline monitoring temperature, and Gpj is the average temperature value of the pipeline monitoring;

[0280] Step S157: acquiring the pipeline temperature coefficient corresponding to each pipeline temperature sensor respectively to obtain a plurality of pipeline temperature coefficients;

[0281] Step S158: Calculate the average of the multiple pipeline temperature coefficients obtained to obtain the pipeline temperature monitoring coefficient;

[0282] Step S16: monitoring the cavity humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity humidity monitoring coefficient;

[0283] The details are as follows:

[0284] Step S161: In the real-time monitoring cycle of the device, mark a number of cavity humidity monitoring time points to obtain a plurality of cavity humidity monitoring time points;

[0285] Step S162: a plurality of cavity humidity sensors are arranged inside the ventilation cavity of the drying device, and one cavity humidity sensor is randomly selected from the plurality of humidity sensors as a sample cavity humidity sensor;

[0286] Step S163: obtaining the cavity humidity values ​​corresponding to each cavity humidity monitoring time point of the sample cavity humidity sensor, and obtaining a plurality of cavity humidity values;

[0287] Step S164: Calculate the average of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring average humidity value corresponding to the sample cavity humidity sensor;

[0288] Step S165: performing median calculation on the obtained multiple cavity humidity values ​​to obtain the cavity monitoring humidity median corresponding to the sample cavity humidity sensor;

[0289] Step S166: Calculate the cavity humidity coefficient corresponding to the sample cavity humidity sensor by using the cavity monitoring average humidity value and the cavity monitoring median humidity value;

[0290] Calculate the cavity humidity coefficient corresponding to the sample cavity humidity sensor. The specific formula is as follows:

[0291] ;

[0292] Among them, Qsx is the cavity humidity coefficient corresponding to the sample cavity humidity sensor, Qzz is the median of cavity monitoring humidity, and Qpj is the average humidity value of cavity monitoring;

[0293] Step S167: acquiring the cavity humidity coefficient corresponding to each cavity humidity sensor respectively to obtain a plurality of cavity humidity monitoring coefficients;

[0294] Step S168: Calculate the average of the multiple cavity humidity coefficients obtained to obtain the cavity humidity monitoring coefficient;

[0295] Step S17: monitoring the environmental humidity of the drying equipment in the real-time monitoring period of the equipment to obtain an environmental humidity monitoring coefficient;

[0296] The details are as follows:

[0297] Step S171: In the real-time monitoring cycle of the device, mark a number of environmental humidity monitoring time points to obtain a plurality of environmental humidity monitoring time points;

[0298] Step S172: setting a plurality of environmental humidity sensors in the ventilation environment of the drying device, and arbitrarily selecting an environmental humidity sensor from the plurality of humidity sensors as a sample environmental humidity sensor;

[0299] Step S173: Obtaining the ambient humidity values ​​corresponding to each ambient humidity monitoring time point of the sample ambient humidity sensor to obtain multiple ambient humidity values;

[0300] Step S174: Calculate the average of the obtained multiple environmental humidity values ​​to obtain the average humidity value of the environment monitoring corresponding to the sample environmental humidity sensor;

[0301] Step S175: Calculate the median of the obtained multiple environmental humidity values ​​to obtain the median of the environmental monitoring humidity corresponding to the sample environmental humidity sensor;

[0302] Step S176: Calculate the average humidity value of the environmental monitoring and the median humidity of the environmental monitoring to obtain the environmental humidity coefficient corresponding to the sample environmental humidity sensor;

[0303] Calculate the ambient humidity coefficient corresponding to the sample ambient humidity sensor. The specific formula is as follows:

[0304] ;

[0305] Among them, Hsx is the environmental humidity coefficient corresponding to the sample environmental humidity sensor, Hzz is the median of environmental monitoring humidity, and Hpj is the average humidity value of environmental monitoring;

[0306] Step S177: acquiring the environmental humidity coefficient corresponding to each environmental humidity sensor respectively to obtain a plurality of environmental humidity coefficients;

[0307] Step S178: Calculate the average of the obtained multiple environmental humidity coefficients to obtain an environmental humidity monitoring coefficient;

[0308] Step S18: defining the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient as the drying system equipment monitoring data;

[0309] Step S2: acquiring the equipment heating control coefficient and the equipment drying control coefficient by analyzing the drying system equipment monitoring data, performing heating control on the sludge drying system by the equipment heating control coefficient, and performing drying control on the sludge drying system according to the equipment drying control coefficient;

[0310] The details are as follows:

[0311] Step S21: Acquire the monitoring data of the drying system equipment, and acquire the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity temperature monitoring coefficient, and the environmental humidity monitoring coefficient according to the monitoring data of the drying system equipment;

[0312] Step S22: controlling the heating of the sludge drying system;

[0313] The details are as follows:

[0314] Step S221: Calculate the equipment heating control coefficient by taking into account the accumulated sludge treatment time, the real-time sludge moisture content and the cavity temperature monitoring coefficient;

[0315] The equipment heating control coefficient is calculated as follows:

[0316] ;

[0317] Among them, Rkx is the equipment heating control coefficient, Nhs is the real-time moisture content of sludge, Ssx is the cavity temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0318] Step S222: obtaining a device heating control coefficient threshold, comparing the device heating control coefficient with the device heating control coefficient threshold, and controlling the heating device according to the comparison result;

[0319] Step S223: When the equipment heating control coefficient is greater than or equal to the equipment heating control coefficient threshold, the heating equipment is controlled to increase the heating power;

[0320] Step S224: When the equipment heating control coefficient is less than the equipment heating control coefficient threshold, the heating equipment is controlled to maintain the current heating power;

[0321] Step S23: performing drying control on the sludge drying system;

[0322] The details are as follows:

[0323] Step S231: Calculate the equipment drying control coefficient by taking into account the accumulated sludge treatment time, the real-time sludge moisture content and the environmental humidity monitoring coefficient;

[0324] The equipment drying control coefficient is calculated as follows:

[0325] ;

[0326] Among them, Gkx is the equipment drying control coefficient, Nhs is the real-time moisture content of sludge, Qsx is the environmental humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0327] Step S232: obtaining a device drying control coefficient threshold, comparing the device drying control coefficient with the device drying control coefficient threshold, and controlling the drying device according to the comparison result;

[0328] Step S233: when the equipment drying control coefficient is greater than or equal to the equipment drying control coefficient threshold, the drying equipment is controlled to increase the working power;

[0329] Step S234: When the equipment drying control coefficient is less than the equipment drying control coefficient threshold, the drying equipment is controlled to maintain the current working power.

[0330] Step S3: acquiring the equipment dehumidification control coefficient and the equipment ventilation control coefficient by analyzing the drying system equipment monitoring data, performing dehumidification control on the sludge drying system by the equipment dehumidification control coefficient, and performing ventilation control on the sludge drying system according to the equipment ventilation control coefficient;

[0331] The details are as follows:

[0332] Step S31: Acquire the monitoring data of the drying system equipment, and acquire the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity humidity monitoring coefficient, and the pipeline temperature monitoring coefficient according to the monitoring data of the drying system equipment;

[0333] Step S32: performing dehumidification control on the sludge drying system;

[0334] The details are as follows:

[0335] Step S321: The dehumidification control coefficient of the equipment is obtained by calculating the accumulated sludge treatment time, the real-time moisture content of the sludge and the cavity humidity monitoring coefficient;

[0336] The dehumidification control coefficient of the equipment is calculated as follows:

[0337] ;

[0338] Among them, Csx is the dehumidification control coefficient of the equipment, Nhs is the real-time moisture content of the sludge, Tsx is the chamber humidity monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0339] Step S322: obtaining a device dehumidification control coefficient threshold, comparing the device dehumidification control coefficient with the device dehumidification control coefficient threshold, and controlling the dehumidification device according to the comparison result;

[0340] Step S323: When the dehumidification control coefficient of the device is greater than or equal to the dehumidification control coefficient threshold of the device, the dehumidification device is controlled to increase the working power;

[0341] Step S324: when the dehumidification control coefficient of the device is less than the dehumidification control coefficient threshold of the device, the dehumidification device is controlled to maintain the current working power;

[0342] Step S33: performing ventilation control on the sludge drying system;

[0343] The details are as follows:

[0344] Step S331: The cumulative sludge treatment time, the real-time sludge moisture content and the pipeline temperature monitoring coefficient are calculated to obtain the equipment ventilation control coefficient;

[0345] The equipment ventilation control coefficient is calculated as follows:

[0346] ;

[0347] Among them, Tfx is the equipment ventilation control coefficient, Nhs is the real-time moisture content of sludge, Gsx is the pipeline temperature monitoring coefficient, and Csc is the cumulative sludge treatment time;

[0348] Step S332: obtaining a threshold value of a ventilation control coefficient of the equipment, comparing the numerical value of the ventilation control coefficient of the equipment with the threshold value of the ventilation control coefficient of the equipment, and controlling the ventilation equipment according to the comparison result;

[0349] Step S333: When the equipment ventilation control coefficient is greater than or equal to the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to increase the working power;

[0350] Step S334: When the equipment ventilation control coefficient is less than the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to maintain the current working power.

[0351] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. High efficiency and low energy consumption sludge low temperature drying system, characterized by: include: Data monitoring module: used to obtain the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient, and obtain the drying system equipment monitoring data; the data monitoring module includes a heating unit, a ventilation unit, a dehumidification unit and a drying unit; Mark the time corresponding to the current moment as the first system monitoring time value, mark the time value corresponding to the characteristic monitoring duration before the first system monitoring time value as the second system monitoring time value, and mark the period between the first system monitoring time value and the second system monitoring time value as the device real-time monitoring cycle; as the time value corresponding to the current moment changes, the first system monitoring time value and the second system monitoring time value also change accordingly; The heating unit monitors the cavity temperature of the drying equipment in the real-time monitoring period of the equipment and obtains the cavity temperature monitoring coefficient; specifically: In the real-time monitoring cycle of the equipment, a number of drying characteristic time points are marked, and the marked drying characteristic time points are named as the first drying characteristic time point to the ath drying characteristic time point in chronological order; A plurality of cavity temperature sensors are arranged inside the cavity of the drying device, and one cavity temperature sensor is randomly selected from the plurality of temperature sensors as a sample cavity temperature sensor; Obtain cavity temperature values ​​corresponding to the first drying characteristic time point to the ath drying characteristic time point of the sample cavity temperature sensor, and obtain the first cavity temperature value to the ath cavity temperature value; Calculate the average of the first cavity temperature value to the ath cavity temperature value to obtain the cavity monitoring average temperature value corresponding to the sample cavity temperature sensor; Calculate the median of the first cavity temperature value to the ath cavity temperature value to obtain the median of the cavity monitoring temperature corresponding to the sample cavity temperature sensor; The cavity temperature coefficient corresponding to the sample cavity temperature sensor is obtained by calculating the average cavity monitoring temperature value and the median cavity monitoring temperature; The cavity temperature coefficient corresponding to the sample cavity temperature sensor is calculated as follows: ； Among them, Qwx is the cavity temperature coefficient corresponding to the sample cavity temperature sensor, Wzz is the median of the cavity monitoring temperature, and Wpj is the average temperature value of the cavity monitoring; The cavity temperature coefficient corresponding to each cavity temperature sensor is acquired respectively to obtain a plurality of cavity temperature coefficients; Calculate the average of the multiple cavity temperature coefficients obtained to obtain the cavity temperature monitoring coefficient; The ventilation unit monitors the ventilation duct temperature of the drying equipment in the real-time monitoring period of the equipment to obtain the duct temperature monitoring coefficient; The dehumidification unit monitors the cavity humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the cavity humidity monitoring coefficient; The drying unit monitors the environmental humidity of the drying equipment in the real-time monitoring period of the equipment to obtain the environmental humidity monitoring coefficient; The first control module is used to analyze the monitoring data of the drying system equipment to obtain the equipment heating control coefficient and the equipment drying control coefficient, and to control the heating of the sludge drying system through the equipment heating control coefficient and to control the drying of the sludge drying system through the equipment drying control coefficient; The second control module is used to analyze the drying system equipment monitoring data to obtain the equipment dehumidification control coefficient and the equipment ventilation control coefficient, to perform dehumidification control on the sludge drying system through the equipment dehumidification control coefficient, and to perform ventilation control on the sludge drying system through the equipment ventilation control coefficient.

2. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 1 is characterized in that: The start time value of the sludge low-temperature drying system for treating the current batch of sludge is obtained to obtain the treatment start time value, the difference between the treatment start time value and the first system monitoring time value is calculated, and the absolute value of the obtained difference is taken to obtain the cumulative sludge treatment time; Obtain the real-time moisture content of sludge.

3. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 2 is characterized in that: The ventilation unit obtains the pipeline temperature monitoring coefficient as follows: In the real-time monitoring cycle of the equipment, several pipeline temperature monitoring time points are marked to obtain multiple pipeline temperature monitoring time points; A plurality of pipe temperature sensors are arranged inside the ventilation pipe of the drying equipment, and one pipe temperature sensor is randomly selected from the plurality of temperature sensors as a sample pipe temperature sensor; Obtain the pipeline temperature values ​​corresponding to each pipeline temperature monitoring time point by the sample pipeline temperature sensor to obtain multiple pipeline temperature values; Calculate the average of the multiple pipeline temperature values ​​obtained to obtain the pipeline monitoring average temperature value corresponding to the sample pipeline temperature sensor; Calculate the median of the multiple pipeline temperature values ​​obtained to obtain the median of the pipeline monitoring temperature corresponding to the sample pipeline temperature sensor; The pipeline temperature coefficient corresponding to the sample pipeline temperature sensor is obtained by calculating the average pipeline monitoring temperature value and the pipeline monitoring temperature median; Calculate the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor. The specific formula is as follows: ； Among them, Gwx is the pipeline temperature coefficient corresponding to the sample pipeline temperature sensor, Gzz is the median of the pipeline monitoring temperature, and Gpj is the average temperature value of the pipeline monitoring; The pipeline temperature coefficient corresponding to each pipeline temperature sensor is obtained respectively to obtain multiple pipeline temperature coefficients; The average of the multiple pipeline temperature coefficients obtained is calculated to obtain the pipeline temperature monitoring coefficient.

4. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 2 is characterized in that: The dehumidification unit obtains the cavity humidity monitoring coefficient, which is as follows: In the real-time monitoring cycle of the equipment, several cavity humidity monitoring time points are marked to obtain multiple cavity humidity monitoring time points; A plurality of cavity humidity sensors are arranged inside the ventilation cavity of the drying device, and one cavity humidity sensor is randomly selected from the plurality of humidity sensors as a sample cavity humidity sensor; Obtaining cavity humidity values ​​corresponding to each cavity humidity monitoring time point of the sample cavity humidity sensor to obtain multiple cavity humidity values; Calculate the average of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring average humidity value corresponding to the sample cavity humidity sensor; Calculate the median of the multiple cavity humidity values ​​obtained to obtain the cavity monitoring humidity median corresponding to the sample cavity humidity sensor; The cavity humidity coefficient corresponding to the sample cavity humidity sensor is obtained by calculating the cavity monitoring average humidity value and the cavity monitoring median humidity value; Calculate the cavity humidity coefficient corresponding to the sample cavity humidity sensor. The specific formula is as follows: ； Among them, Qsx is the cavity humidity coefficient corresponding to the sample cavity humidity sensor, Qzz is the median of cavity monitoring humidity, and Qpj is the average humidity value of cavity monitoring; The cavity humidity coefficient corresponding to each cavity humidity sensor is obtained respectively to obtain a plurality of cavity humidity monitoring coefficients; The obtained multiple cavity humidity coefficients are averaged to obtain the cavity humidity monitoring coefficient.

5. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 2 is characterized in that: The drying unit obtains the environmental humidity monitoring coefficient, which is as follows: In the real-time monitoring cycle of the equipment, several environmental humidity monitoring time points are marked to obtain multiple environmental humidity monitoring time points; A plurality of environmental humidity sensors are arranged in the ventilation environment of the drying equipment, and one environmental humidity sensor is randomly selected from the plurality of humidity sensors as a sample environmental humidity sensor; Obtaining the ambient humidity values ​​corresponding to each ambient humidity monitoring time point of the sample ambient humidity sensor to obtain multiple ambient humidity values; Calculate the average of the obtained multiple environmental humidity values ​​to obtain the environmental monitoring average humidity value corresponding to the sample environmental humidity sensor; Calculate the median of the obtained multiple environmental humidity values ​​to obtain the median of the environmental monitoring humidity corresponding to the sample environmental humidity sensor; The environmental humidity coefficient corresponding to the sample environmental humidity sensor is obtained by calculating the average humidity value of environmental monitoring and the median humidity of environmental monitoring; Calculate the ambient humidity coefficient corresponding to the sample ambient humidity sensor. The specific formula is as follows: ； Among them, Hsx is the environmental humidity coefficient corresponding to the sample environmental humidity sensor, Hzz is the median of environmental monitoring humidity, and Hpj is the average humidity value of environmental monitoring; Acquire the environmental humidity coefficient corresponding to each environmental humidity sensor respectively to obtain multiple environmental humidity coefficients; The obtained multiple environmental humidity coefficients are averaged to obtain the environmental humidity monitoring coefficient.

6. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 1 is characterized in that: The first control module performs drying control on the sludge drying system, specifically as follows: Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity temperature monitoring coefficient, and the environmental humidity monitoring coefficient according to the monitoring data of the drying system equipment; Control the heating supply to the sludge drying system; Carry out drying control on sludge drying system; The details are as follows: The equipment drying control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the environmental humidity monitoring coefficient; The equipment drying control coefficient is calculated as follows: ； Among them, Gkx is the equipment drying control coefficient, Nhs is the real-time moisture content of sludge, Qsx is the environmental humidity monitoring coefficient, and Csc is the cumulative sludge treatment time; Obtaining a threshold value of a drying control coefficient of the equipment, comparing the numerical value of the drying control coefficient of the equipment with the threshold value of the drying control coefficient of the equipment, and controlling the drying equipment according to the comparison result; When the equipment drying control coefficient is greater than or equal to the equipment drying control coefficient threshold, the drying equipment is controlled to increase the working power; When the equipment drying control coefficient is less than the equipment drying control coefficient threshold, the drying equipment is controlled to maintain the current working power.

7. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 6 is characterized in that: The first control module performs heat supply control on the sludge drying system as follows: The equipment heating control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity temperature monitoring coefficient; The equipment heating control coefficient is calculated as follows: ； Among them, Rkx is the equipment heating control coefficient, Nhs is the real-time moisture content of sludge, Ssx is the cavity temperature monitoring coefficient, and Csc is the cumulative sludge treatment time; Obtaining a threshold value of a heating control coefficient of the device, comparing the heating control coefficient of the device with the threshold value of the heating control coefficient of the device, and controlling the heating device according to the comparison result; When the equipment heating control coefficient is greater than or equal to the equipment heating control coefficient threshold, the heating equipment is controlled to increase the heating power; When the equipment heating control coefficient is less than the equipment heating control coefficient threshold, the heating equipment is controlled to maintain the current heating power.

8. The high-efficiency and low-energy consumption sludge low-temperature drying system according to claim 1 is characterized in that: The second control module performs dehumidification control and ventilation control on the sludge drying system, as follows: Obtain the monitoring data of the drying system equipment, and obtain the cumulative sludge treatment time, the real-time moisture content of the sludge, the cavity humidity monitoring coefficient, and the pipeline temperature monitoring coefficient according to the monitoring data of the drying system equipment; Dehumidification control for sludge drying system; The details are as follows: The equipment dehumidification control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the cavity humidity monitoring coefficient; The dehumidification control coefficient of the equipment is calculated as follows: ； Among them, Csx is the dehumidification control coefficient of the equipment, Nhs is the real-time moisture content of the sludge, Tsx is the chamber humidity monitoring coefficient, and Csc is the cumulative sludge treatment time; Obtaining a dehumidification control coefficient threshold of the device, comparing the dehumidification control coefficient of the device with the dehumidification control coefficient threshold of the device, and controlling the dehumidification device according to the comparison result; When the dehumidification control coefficient of the equipment is greater than or equal to the dehumidification control coefficient threshold of the equipment, the dehumidification equipment is controlled to increase the working power; When the dehumidification control coefficient of the device is less than the dehumidification control coefficient threshold of the device, the dehumidification device is controlled to maintain the current working power; Ventilation control for sludge drying system; The details are as follows: The equipment ventilation control coefficient is obtained by calculating the cumulative sludge treatment time, the real-time sludge moisture content and the pipeline temperature monitoring coefficient; The equipment ventilation control coefficient is calculated as follows: ； Among them, Tfx is the equipment ventilation control coefficient, Nhs is the real-time moisture content of sludge, Gsx is the pipeline temperature monitoring coefficient, and Csc is the cumulative sludge treatment time; Obtaining a threshold value of a ventilation control coefficient of the equipment, comparing the numerical value of the ventilation control coefficient of the equipment with the threshold value of the ventilation control coefficient of the equipment, and controlling the ventilation equipment according to the comparison result; When the equipment ventilation control coefficient is greater than or equal to the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to increase the working power; When the equipment ventilation control coefficient is less than the equipment ventilation control coefficient threshold, the ventilation equipment is controlled to maintain the current working power.

9. A high-efficiency and low-energy consumption sludge low-temperature drying control method, using the high-efficiency and low-energy consumption sludge low-temperature drying system according to any one of claims 1 to 8, characterized in that: The control method comprises the following specific steps: Step S1: respectively obtaining the cumulative sludge treatment time, the real-time sludge moisture content, the cavity temperature monitoring coefficient, the pipeline temperature monitoring coefficient, the cavity humidity monitoring coefficient and the ambient humidity monitoring coefficient to obtain the drying system equipment monitoring data; Step S2: acquiring the equipment heating control coefficient and the equipment drying control coefficient by analyzing the drying system equipment monitoring data, performing heating control on the sludge drying system by the equipment heating control coefficient, and performing drying control on the sludge drying system according to the equipment drying control coefficient; Step S3: Obtain the equipment dehumidification control coefficient and the equipment ventilation control coefficient by analyzing the drying system equipment monitoring data, perform dehumidification control on the sludge drying system by the equipment dehumidification control coefficient, and perform ventilation control on the sludge drying system according to the equipment ventilation control coefficient.

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