CN108773315A - Intelligent temperature control refrigerator car based on real-time weather information - Google Patents
Intelligent temperature control refrigerator car based on real-time weather information Download PDFInfo
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- SAZUGELZHZOXHB-UHFFFAOYSA-N acecarbromal Chemical compound CCC(Br)(CC)C(=O)NC(=O)NC(C)=O SAZUGELZHZOXHB-UHFFFAOYSA-N 0.000 title claims 5
- 238000005057 refrigeration Methods 0.000 claims abstract description 17
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60P—VEHICLES ADAPTED FOR LOAD TRANSPORTATION OR TO TRANSPORT, TO CARRY, OR TO COMPRISE SPECIAL LOADS OR OBJECTS
- B60P3/00—Vehicles adapted to transport, to carry or to comprise special loads or objects
- B60P3/20—Refrigerated goods vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/0075—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being solar radiation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00764—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a vehicle driving condition, e.g. speed
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
- B60H1/00821—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being ventilating, air admitting or air distributing devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
- B60H1/00878—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being temperature regulating devices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
- Y02T10/88—Optimized components or subsystems, e.g. lighting, actively controlled glasses
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Mechanical Engineering (AREA)
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Abstract
本发明公开一种基于实时气象信息的智能控温冷藏车，包括：气象信息获取系统，用于获取冷藏车行驶路线上途经地点的实时气象信息；温度监测系统，用于实时监测冷藏车的车厢内以及车厢外部的环境温度；中央处理器，用于根据所接收的实时气象信息、车厢内以及车厢外部的环境温度、车速，通过神经网络算法智能控制冷藏车的制冷系统的工作状态，实现智能地调节冷藏车的车厢内的温度。本发明可根据行驶路线上的当地的气象条件调节制冷系统的工况，能够减少由于制冷系统不必要的运行而造成的大量能量损失，在保证高精度的控温的同时，更加节能环保。
The invention discloses an intelligent temperature-controlled refrigerated vehicle based on real-time weather information, comprising: a weather information acquisition system for acquiring real-time weather information of places passing by on the refrigerated vehicle's driving route; a temperature monitoring system for real-time monitoring of the compartment of the refrigerated vehicle The ambient temperature inside and outside the compartment; the central processing unit is used to intelligently control the working state of the refrigeration system of the refrigerated truck through the neural network algorithm according to the received real-time weather information, the ambient temperature inside and outside the compartment, and the speed of the vehicle, so as to realize intelligent Adjust the temperature inside the compartment of the refrigerated truck accurately. The invention can adjust the working condition of the refrigeration system according to the local meteorological conditions on the driving route, can reduce a large amount of energy loss caused by unnecessary operation of the refrigeration system, and is more energy-saving and environment-friendly while ensuring high-precision temperature control.
Description
技术领域technical field
本发明属于冷藏运输技术领域，具体涉及基于实时气象信息的冷藏运输车。The invention belongs to the technical field of refrigerated transport, in particular to a refrigerated transport vehicle based on real-time weather information.
背景技术Background technique
目前，我国冷藏运输业中的冷藏运输设备以机械冷藏车为主，主要是通过监测车厢内温度，当车厢内温度超调量大于一定值后，启动制冷系统来维持车厢内温度。然而，该方法忽略了冷藏车的外界工况变化特征，系统只有在车厢温度达到一定的超调量后才会做出响应，由于车厢内货物热惰性及外界环境气象的变化可能较大的影响，系统做出相应调整存在一定的调节时间，致使调整期间车厢内温度的超调量可能进一步增大，增加了物品腐烂浪费的风险。At present, the refrigerated transportation equipment in my country's refrigerated transportation industry is dominated by mechanical refrigerated vehicles, which mainly monitor the temperature in the compartment. When the temperature in the compartment exceeds a certain value, the refrigeration system is activated to maintain the temperature in the compartment. However, this method ignores the changing characteristics of the external working conditions of the refrigerated vehicle, and the system will respond only after the temperature of the compartment reaches a certain overshoot. Due to the thermal inertia of the cargo in the compartment and changes in the external environment, the weather may have a greater impact , There is a certain adjustment time for the system to make corresponding adjustments, which may further increase the overshoot of the temperature in the compartment during the adjustment period, increasing the risk of rot and waste of items.
发明内容Contents of the invention
为了实现冷藏车车厢温度的精确控制，避免车厢内温度超调量过大，本发明了提出一种基于实时气象信息的智能控温冷藏车。In order to realize the precise control of the compartment temperature of the refrigerated vehicle and avoid excessive temperature overshoot in the compartment, the present invention proposes an intelligent temperature-controlled refrigerated vehicle based on real-time weather information.
为实现本发明的目的所采用的技术方案是：The technical scheme adopted for realizing the purpose of the present invention is:
一种基于实时气象信息的智能控温冷藏车，包括：An intelligent temperature-controlled refrigerated vehicle based on real-time weather information, including:
气象信息获取系统，用于获取冷藏车行驶路线上途经地点的实时气象信息；The meteorological information acquisition system is used to obtain real-time weather information of the passing places on the driving route of the refrigerated truck;
温度监测系统，用于实时监测冷藏车的车厢内以及车厢外部的环境温度；The temperature monitoring system is used to monitor the ambient temperature inside and outside the compartment of the refrigerated truck in real time;
中央处理器，与所述气象信息系统以及温度监测系统通信连接，用于根据所接收的实时气象信息、车厢内以及车厢外部的环境温度、车速，通过神经网络算法智能控制冷藏车的制冷系统的工作状态，实现智能地调节冷藏车的车厢内的温度。The central processing unit is connected in communication with the weather information system and the temperature monitoring system, and is used to intelligently control the refrigeration system of the refrigerated truck through a neural network algorithm according to the received real-time weather information, the ambient temperature inside and outside the compartment, and the speed of the vehicle. In the working state, the temperature in the compartment of the refrigerated truck can be intelligently adjusted.
所述的智能控制冷藏车的制冷系统的工作状态包括智能调控制冷系统的压缩机的启停及运行频率，电子膨胀阀开度和冷风机送风速度。The intelligent control of the working state of the refrigerating system of the refrigerated vehicle includes intelligently regulating the start-stop and operating frequency of the compressor of the refrigerating system, the opening degree of the electronic expansion valve and the air supply speed of the cooling fan.
所述气象信息获取系统包括接入互联网网络的移动终端以及物联网通信模块，所述移动终端通过所述物联网通信模块与所述的中央处理器通信连接。The weather information acquisition system includes a mobile terminal connected to the Internet network and an Internet of Things communication module, and the mobile terminal communicates with the central processing unit through the Internet of Things communication module.
所述温度监测系统包括设在冷藏车的车厢内外的温度传感器。The temperature monitoring system includes temperature sensors arranged inside and outside the compartment of the refrigerated vehicle.
本发明可根据行驶路线上的当地的气象条件调节制冷系统的工况，能够减少由于制冷系统不必要的运行而造成的大量能量损失，在保证高精度的控温的同时，更加节能环保。The invention can adjust the working condition of the refrigeration system according to the local meteorological conditions on the driving route, can reduce a large amount of energy loss caused by the unnecessary operation of the refrigeration system, and is more energy-saving and environment-friendly while ensuring high-precision temperature control.
附图说明Description of drawings
图1是本发明的神经网络算法的原理示意图。Fig. 1 is a schematic diagram of the principle of the neural network algorithm of the present invention.
图2是本发明智能控温冷藏车的原理结构示意图。Fig. 2 is a schematic diagram of the principle structure of the intelligent temperature-controlled refrigerated vehicle of the present invention.
具体实施方式Detailed ways
以下结合附图和具体实施例对本发明作进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
参见图1-2所示，一种基于实时气象信息的智能控温冷藏车，包括：As shown in Figure 1-2, an intelligent temperature-controlled refrigerated vehicle based on real-time weather information includes:
气象信息获取系统，用于获取冷藏车行驶路线上途经地点的实时气象信息；The meteorological information acquisition system is used to obtain real-time weather information of the passing places on the driving route of the refrigerated truck;
温度监测系统，用于实时监测冷藏车的车厢内以及车厢外部的环境温度；The temperature monitoring system is used to monitor the ambient temperature inside and outside the compartment of the refrigerated truck in real time;
中央处理器，与所述气象信息系统以及温度监系测统通信连接，用于根据所接收的实时气象信息、车厢内以及车厢外部的环境温度的信息、车速，通过神经网络算法智能控制冷藏车的制冷系统的工作状态。The central processing unit communicates with the weather information system and the temperature monitoring system, and is used to intelligently control the refrigerated vehicle through the neural network algorithm according to the received real-time weather information, the information of the ambient temperature inside and outside the compartment, and the vehicle speed The working state of the refrigeration system.
其中，本发明中的制冷系统为现有冷藏车的制冷系统，包括有压缩机、冷凝器1、电子膨胀阀2和蒸发器3，所述压缩机与冷凝器连接，所述冷凝器与电子膨胀阀连接，所述电子膨胀阀与蒸发器连接，所述蒸发器连接压缩机，其中所述蒸发器置于冷藏车厢4内顶部，所述压缩机、蒸发器的冷风机，电子膨胀阀与中央处理器通过4-20mA或0～10V标准信号连接通信。Wherein, the refrigerating system in the present invention is the refrigerating system of the existing refrigerated truck, including a compressor, a condenser 1, an electronic expansion valve 2 and an evaporator 3, the compressor is connected with the condenser, and the condenser is connected with the electronic The expansion valve is connected, the electronic expansion valve is connected to the evaporator, and the evaporator is connected to the compressor, wherein the evaporator is placed on the top of the refrigerated compartment 4, and the compressor, the cooling fan of the evaporator, and the electronic expansion valve are connected to the The central processing unit communicates through 4-20mA or 0-10V standard signal connection.
具体的，所述的智能控制冷藏车的制冷系统的工作状态可以是包括智能调控制冷系统的压缩机的启停及运行频率，电子膨胀阀的开度和冷风机送风速度，从而实现智能地来调节冷藏车内的温度。Specifically, the intelligent control of the working state of the refrigeration system of the refrigerated vehicle may include intelligently regulating the start-stop and operating frequency of the compressor of the refrigeration system, the opening degree of the electronic expansion valve, and the air supply speed of the cooling fan, so as to realize intelligent To adjust the temperature in the refrigerated car.
本发明中，所述的中央处理器把获得的实时气象信息(尤其是前方1～2小时车程范围内)，车辆自身速度和车厢内和外界环境的温度信号作为输入变量，将制冷系统的压缩机的启停的时间间隔和运行频率，电子膨胀阀的开度与冷风机的送风速度作为输出变量，将冷藏车数百次运行中记录的气象数据和温度变化数据作为输入变量和冷藏车运行中压缩机的启停时间间隔及运行频率，电子膨胀阀开度以及冷风机送风速度作为输出变量进行神经网络算法训练样本，当输出变量可以使得冷藏车内温度波动小于一定值时，即采用此时的控制逻辑来进行车厢内温度的调控。In the present invention, the central processing unit uses the obtained real-time weather information (especially within the range of 1-2 hours driving ahead), the speed of the vehicle itself and the temperature signals in the compartment and the external environment as input variables, and compresses the refrigeration system. The time interval and operating frequency of the machine's start and stop, the opening of the electronic expansion valve and the air supply speed of the cooling fan are used as output variables, and the meteorological data and temperature change data recorded in hundreds of operations of the refrigerated truck are used as input variables and the refrigerated truck The start-stop time interval and operating frequency of the compressor in operation, the opening of the electronic expansion valve and the air supply speed of the cooling fan are used as output variables to carry out neural network algorithm training samples. When the output variables can make the temperature fluctuation in the refrigerated vehicle less than a certain value, that is The control logic at this time is used to regulate the temperature in the compartment.
作为一个实施例，本发明中，所述气象信息获取系统，可以是包括移动终端以及物联网通信模块，如zigbee通信模块，所述移动终端与物联网通信模块通信连接，所述移动终端接入互联网网络，由工作人员携带，可以直接获取气象部门的实时气象信息，并将实时气象信息通过物联网通信模块发送到中央处理器处理，所述的气象信息包括前方地区的温度，风速，太阳辐射强度。As an embodiment, in the present invention, the weather information acquisition system may include a mobile terminal and an Internet of Things communication module, such as a zigbee communication module, the mobile terminal communicates with the Internet of Things communication module, and the mobile terminal accesses The Internet network, carried by the staff, can directly obtain the real-time weather information of the meteorological department, and send the real-time weather information to the central processor through the Internet of Things communication module for processing. The weather information includes the temperature, wind speed, and solar radiation of the front area strength.
作为一个实施例，本发明中，所述温度监测系统可以是包括设在冷藏车的车厢内外的温度传感器，与所述的中央处理器通信连接，以将采集的冷藏车的车厢内外的温度实时数据传送到中央处理器处理。As an embodiment, in the present invention, the temperature monitoring system may include a temperature sensor installed inside and outside the compartment of the refrigerated vehicle, and communicate with the central processing unit to collect the temperature inside and outside the compartment of the refrigerated vehicle in real time. The data is sent to the central processing unit for processing.
工作时，移动终端通过互联网获取冷藏车的行驶路线上途经地点的实时气象信息，并通过物联网通讯模块将气象信息传送给中央处理器，中央处理器通过物联网通讯模块获得气象信息。同时，位于车厢内和车厢外的温度传感器将监测到的温度变化传送给中央处理器，冷藏车的车载终端将冷藏车的实时车速发送到中央处理器。中央处理器根据气象信息，车速以及车厢内和车厢外的温度信息，通过神经网络算法智能调控压缩机的启停和运行频率，电子膨胀开度和冷风机送风速度，来提前调节冷藏车内的温度。When working, the mobile terminal obtains the real-time weather information of the passing places on the driving route of the refrigerated truck through the Internet, and transmits the weather information to the central processor through the Internet of Things communication module, and the central processor obtains the weather information through the Internet of Things communication module. At the same time, the temperature sensors located inside and outside the compartment transmit the monitored temperature changes to the central processing unit, and the vehicle-mounted terminal of the refrigerated vehicle sends the real-time speed of the refrigerated vehicle to the central processing unit. According to the weather information, vehicle speed, and temperature information inside and outside the compartment, the central processor intelligently regulates the start-stop and operating frequency of the compressor, the opening of the electronic expansion and the air supply speed of the air cooler through the neural network algorithm to adjust the temperature inside the refrigerated vehicle in advance. temperature.
当中央处理器接收到物联网通讯模块和温度监测系统传输过来的气象信息和实时温度信息，收到车载终端传送来的车速信息后，将这些参数作为神经网络算法的输入参数，经过神经网络控制算法提前规划接下来一段时间内，压缩机启停时间间隔和运行频率，冷风机的送风速度和电子膨胀的开度。When the central processing unit receives the meteorological information and real-time temperature information transmitted by the Internet of Things communication module and the temperature monitoring system, and receives the vehicle speed information transmitted by the vehicle terminal, these parameters are used as the input parameters of the neural network algorithm and controlled by the neural network. The algorithm plans ahead for the next period of time, the start-stop time interval and operating frequency of the compressor, the air supply speed of the cooling fan and the opening degree of the electronic expansion.
其中，所述的移动终端根据设定时间间隔(例如，5分钟)获取一次前方的气象信息，尤其是前方1～2小时车程内，温度监测系统则实时监测，以便于及时修正气象信息有误造成的车厢内温度波动，以车厢内温度波动大小作为评价调控质量的评价标准。Wherein, the mobile terminal obtains the weather information ahead according to the set time interval (for example, 5 minutes), especially within 1-2 hours driving ahead, the temperature monitoring system monitors in real time, so as to correct the weather information in time The temperature fluctuation in the cabin caused by the temperature fluctuation in the cabin is used as the evaluation standard for evaluating the quality of regulation and control.
当车厢内温度波动在可以接受的范围之内，系统正常运行；当车厢内温度波动超出预定范围，中央处理器就会通过物联网通讯模块向移动终端报警，检修人员可以通过手动方式调节压缩机工况，使系统恢复正常。When the temperature fluctuation in the compartment is within the acceptable range, the system operates normally; when the temperature fluctuation in the compartment exceeds the predetermined range, the central processing unit will send an alarm to the mobile terminal through the Internet of Things communication module, and the maintenance personnel can manually adjust the compressor operating conditions to restore the system to normal.
本发明基于神经网络智能控制系统，采用大量实际运行数据作为训练样本，训练结果精确可靠，调节反应迅速，高效，并且可以依据物联网获得的前方路段或地区的气象特征，提前对制冷系统工况进行调节，以实现温度提前调节，避免出现较大的温度超调量；因此，本发明可以对冷藏车厢内的温度进行提前调节，实现冷藏车厢的精确控温。The present invention is based on a neural network intelligent control system and uses a large amount of actual operating data as training samples. The training results are accurate and reliable, the adjustment response is quick and efficient, and the working conditions of the refrigeration system can be adjusted in advance according to the meteorological characteristics of the road ahead or the area obtained by the Internet of Things. Adjust to realize the temperature adjustment in advance and avoid large temperature overshoot; therefore, the present invention can adjust the temperature in the refrigerated compartment in advance to realize the precise temperature control of the refrigerated compartment.
本发明采用神经网络智能控制系统，可根据行驶路线上的当地的气象条件调节制冷系统的工况，能够减少由于制冷系统不必要的运行而造成的大量能量损失，因此在保证高精度的控温的同时，更加节能环保。The present invention adopts a neural network intelligent control system, which can adjust the working condition of the refrigeration system according to the local meteorological conditions on the driving route, and can reduce a large amount of energy loss caused by unnecessary operation of the refrigeration system, thus ensuring high-precision temperature control At the same time, it is more energy-saving and environmentally friendly.
本发明通过利用物联网技术和神经网络控制算法，对车厢内的温度提前调节，智能控制车厢内的温度，在控温、节能、环保等方面做出了较为全面的改善，具有较大开发前景，且符合未来冷藏车的发展趋势。The present invention adjusts the temperature in the compartment in advance by using the Internet of Things technology and the neural network control algorithm, intelligently controls the temperature in the compartment, and makes relatively comprehensive improvements in temperature control, energy saving, environmental protection, etc., and has great development prospects , and in line with the development trend of future refrigerated vehicles.
以上所述仅是本发明的优选实施方式，应当指出的是，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, these improvements and Retouching should also be regarded as the protection scope of the present invention.
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