CN-121997281-A - Cold machine regulation and control method and system for cold chain logistics

CN121997281ACN 121997281 ACN121997281 ACN 121997281ACN-121997281-A

Abstract

The invention discloses a cold machine regulation and control method and system for cold chain logistics, and relates to the technical field of cold machine regulation and control. The cold machine control method for the cold chain logistics comprises the steps of collecting environment data, cargo state data and cold machine operation state data of a cold chain carriage, carrying out characteristic mining and evaluation processing on the cold machine operation state data, extracting a cold machine health evaluation value and estimating cold machine effective refrigerating capacity, carrying out classification analysis and fusion processing on the environment data and the cargo state data to obtain the heat load demand of the cold chain carriage, constructing a comprehensive cost function based on the cold machine effective refrigerating capacity and the heat load demand, and carrying out multi-objective dynamic optimization solving processing to obtain a cold machine control sequence.

Inventors

HUANG JINGCAN
HUANG LUBIN
CHEN MUSHENG

Assignees

劲能（福建）车用空调有限公司

Dates

Publication Date: 20260508
Application Date: 20260409

Claims (10)

1. A cold machine control method for a cold chain stream, comprising the steps of: Collecting environment data, cargo state data and cold machine running state data of a cold chain carriage; feature mining and evaluation processing are carried out on the running state data of the cold machine, a cold machine health evaluation value is extracted, and the effective refrigerating capacity of the cold machine is estimated; Classifying, analyzing and fusing the environmental data and the cargo state data to obtain the heat load demand of the cold chain carriage; constructing a comprehensive cost function based on the effective refrigerating capacity of the cold machine and the thermal load demand, and performing multi-objective dynamic optimization solving treatment to obtain a control sequence of the cold machine; and regulating and controlling the chiller based on the chiller control sequence.
2. The cold machine control method for cold chain streams according to claim 1, characterized in that the specific steps of extracting cold machine health assessment values are as follows: Performing dimension reduction processing on the cold machine running state data, and extracting a cold machine main component vector; the method comprises the steps of obtaining a historical main component vector sequence of a cold machine, and performing time sequence prediction processing to obtain a main component prediction vector of the cold machine; and carrying out residual analysis on the cold machine principal component vector and the cold machine principal component prediction vector to determine a cold machine health evaluation value.
3. The cold machine control method for cold chain streams according to claim 2, characterized in that the specific steps of obtaining the prediction vector of the main components of the cold machine are as follows: constructing a vector autoregressive model based on the historical cold machine principal component vector sequence; performing parameter estimation processing on the vector autoregressive model based on a preset estimation algorithm to determine model parameters; Substituting the model parameters into the vector autoregressive model to extract the prediction vector of the main component of the cooling machine.
4. The cold machine control method for cold chain streams according to claim 2, characterized by the specific steps of residual analysis as follows: Extracting a cold machine residual error vector based on the cold machine principal component vector and the cold machine principal component prediction vector; extracting a cold machine statistical feature set based on the cold machine residual error vector; And mapping the cold machine statistical feature set based on a preset mapping function to generate a cold machine health evaluation value.
5. The method for cold-chain logistics according to claim 1, wherein the specific steps of estimating the effective refrigerating capacity of the cold-chain logistics are as follows: Determining basic refrigerating capacity corresponding to the cold machine health evaluation value based on a preset mapping relation between health and refrigerating capacity; And correcting the basic refrigerating capacity based on the running state data of the cold machine to generate the effective refrigerating capacity of the cold machine.
6. The cold machine control method for cold chain logistics according to claim 1, wherein the specific steps of obtaining the heat load demand of the cold chain carriage are as follows: analyzing the carriage enclosure heat transfer load of the cold chain carriage based on the environmental data and in combination with the carriage structure parameter set stored in the database; carrying out heat capacity analysis processing on the cargo state data to determine the cargo sensible heat load of the cold chain carriage; acquiring a door opening state signal of the cold chain carriage, and analyzing the door opening ventilation thermal load of the cold chain carriage by combining the environmental data; and comprehensively processing the carriage enclosure heat transfer load, the cargo sensible heat load and the door opening ventilation heat load to obtain the heat load demand of the cold chain carriage.
7. The cold machine control method for cold chain streams according to claim 1, characterized in that the specific steps of constructing the comprehensive cost function are as follows: determining a cold machine decision variable, and constructing a cold machine cost component set, wherein the cold machine cost component set comprises an energy consumption cost component, a cargo loss risk component and an equipment loss component; Determining a cost weight set based on the chiller effective refrigeration capacity and the thermal load demand; and constructing a comprehensive cost function based on the cold cost component set and the cost weight set.
8. The cold machine control method for cold chain streams of claim 7, characterized by the specific steps of determining a cost weight set as follows: Judging whether the effective refrigerating capacity of the cold machine is higher than the heat load demand; If the value is higher than the preset value, analyzing the surplus coefficient of the refrigerating capacity and determining a cost weight set; And if the value is not higher than the threshold value, analyzing the refrigerating capacity gap value and determining a cost weight set.
9. The cold-machine control method for cold-chain streams of claim 7, characterized by the specific steps of obtaining a cold-machine control sequence as follows: comparing the effective refrigerating capacity of the cooler with the heat load demand; determining a constraint condition set of optimization solution based on the comparison result; Taking the cold decision variable as an optimization variable and minimizing the comprehensive cost function as an optimization target; And solving the optimized variable under the limitation of the constraint condition set to obtain a chiller control sequence.
10. A cold conditioning system for a cold chain stream, applying the cold conditioning method for a cold chain stream according to any one of claims 1 to 9, characterized by comprising: the data acquisition module is used for acquiring environment data, cargo state data and cold machine running state data of the cold chain carriage; The health evaluation and refrigeration pre-estimation module is used for carrying out feature mining and evaluation processing on the running state data of the cold machine, extracting a cold machine health evaluation value and pre-estimating the effective refrigeration capacity of the cold machine; the thermal load analysis module is used for carrying out classification analysis and fusion processing on the environmental data and the cargo state data to obtain the thermal load requirement of the cold chain carriage; the multi-objective optimization module is used for constructing a comprehensive cost function based on the effective refrigerating capacity of the cold machine and the heat load demand, and carrying out multi-objective dynamic optimization solving treatment to obtain a control sequence of the cold machine; and the cold machine regulation and control module is used for regulating and controlling the cold machine based on the cold machine control sequence.

Description

Cold machine regulation and control method and system for cold chain logistics Technical Field The invention relates to the technical field of cold machine regulation and control, in particular to a cold machine regulation and control method and system for cold chain logistics. Background The cold chain logistics is a logistics activity of goods in a specified temperature environment all the time in the whole transportation process, is widely applied to the circulation field of temperature-sensitive goods such as fresh agricultural products, pharmaceutical preparations and frozen foods, is used as core temperature control equipment of a cold chain carriage, and the running state of the cold chain logistics is used for directly determining the stability of a temperature field in the carriage, so that the quality and transportation safety of the goods are affected. Along with the continuous expansion of the scale of the cold chain logistics industry and the increasing complexity of transportation scenes, higher requirements are provided for the refinement degree of the regulation and control of the cold machine, different transportation tasks have different requirements for temperature control, for example, long-distance trunk transportation needs to focus on the continuous heat transfer of an enclosure structure, urban distribution faces the heat load impact caused by frequent door opening and closing, meanwhile, the cold machine can generate performance attenuation in the long-term operation process, the refrigeration efficiency is gradually reduced, and if the cold machine is still operated in a conventional mode, the energy consumption is increased, the temperature control capacity is reduced, and even the equipment is in premature failure. In the prior art, as disclosed in the patent application with the publication number of CN120488585A, a refrigerating air conditioner control method and system based on a dynamic regulation algorithm are used for judging a low-pressure area and a high-pressure area in a cold-chain logistics transport cabinet through real-time reference air pressure data of a barometer, and can receive and analyze the real-time reference air pressure data of the barometer. The method comprises the steps of establishing a sliding window, dividing a parameter diagram of real-time reference air pressure data based on the sliding window, obtaining real-time pressure data in the sliding window, forming a low-pressure area in a cold chain logistics transportation cabinet when the conveying amount of cold air is excessive, further absorbing more moist hot air, and further conducting frosting and icing in the cold chain logistics transportation cabinet, wherein more effective energy is consumed. When the conveying amount of the cold air is too small, a high-pressure area is formed in the cold chain logistics transportation cabinet, and the preset temperature cannot be reached. Through the air pressure data, the temperature in the cold chain logistics transportation cabinet can be accurately obtained. Based on the above scheme, the limitations of the prior art at least include the following problems that the prior art fails to combine the environmental data, the cargo state data and the running state data of the cold chain carriage to carry out comprehensive analysis, so that the health attenuation condition of the cold chain carriage in the running process is difficult to accurately identify, the actual heat load demand of the cold chain carriage is difficult to accurately quantify, the regulation and control decision of the cold chain carriage is difficult to match with the actual demand of the cargo, the dynamic balance among the refrigeration effect, the energy consumption cost and the equipment loss is more difficult to realize, the condition that the refrigeration capacity is not matched with the actual heat load easily occurs, and further the fresh-keeping quality of the cargo is influenced or the energy waste is caused. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a cold machine regulation and control method and a system for cold chain logistics, which solve the problems that the prior art is difficult to accurately match cold machine regulation and control with actual requirements, and is easy to cause goods loss or energy consumption waste. The cold machine regulation and control method for the cold chain logistics comprises the following steps of collecting environment data, cargo state data and cold machine operation state data of a cold chain carriage, carrying out feature mining and evaluation processing on the cold machine operation state data, extracting cold machine health evaluation values and estimating cold machine effective refrigerating capacity, carrying out classification analysis and fusion processing on the environment data and the cargo state data to obtain the heat load requirement of the cold chain carriage, constructing a co