Intelligent early warning system for refrigerated container of automatic wharf

Abstract

The utility model relates to an intelligent early warning system for a refrigerated container of an automatic wharf, and solves the problem that early warning cannot be performed in advance when the refrigerated container has a fault. The system comprises a refrigerated container provided with a monitoring device and a data interface module, the data interface module comprises a first interface, and the first interface is connected with the monitoring device of the refrigerated container; each data collector is provided with a data collection box and a data collection line, two ends of each data collection line are respectively connected with the data collection box and the first interface, and the data collection lines are used for collecting parameter information of the refrigerated container; the data acquisition terminal is connected with the data acquisition box and controls the plurality of data acquisition units; the data switch is connected with the data acquisition terminal; the early warning module is used for acquiring the refrigerated container parameter information of the data switch and generating the grade of early warning information; the issuing module is used for outputting early warning information; and the rail-mounted gantry crane automatically executes a box moving operation task according to the early warning information.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automated wharf container, in particular to a refrigerated container intelligent early warning system of an automated wharf. BACKGROUND

[0002] The existing refrigerated container early warning system is not designed for the special operation conditions of the automated wharf, and the data is passively acquired, the acquisition period is long, the information amount is small, and the timeliness, continuity and accuracy of the early warning cannot be realized. And the acquisition of refrigerated container basic parameters mostly adopts wired transmission mode, which cannot achieve multi-channel and multi-condition information acquisition. Due to the particularity of unmanned site of the automated wharf, the automated rail-mounted crane is also unmanned, if the refrigerated container is still in the state of plugging and data acquisition, the automated rail-mounted crane still performs the task of collecting and picking up the container or the task of container turning, and the rail-mounted crane is easy to pull and damage the internal structure of the refrigerated container and the acquisition equipment of the plugging equipment, which causes great risk to the safety of the refrigerated container and related equipment. CONTENT OF THE UTILITY MODEL

[0003] The utility model aims at overcoming at least one defect of the prior art, providing a refrigerated container intelligent early warning system of an automated wharf, solving the problem of no early warning when the refrigerated container has a fault.

[0004] The utility model provides a refrigerated container intelligent early warning system of an automated wharf, the system includes:

[0005] The refrigerated container is provided with a monitoring device and a data interface module, the data interface module can read refrigerated container parameter information, the data interface module includes a first interface, and the first interface is connected with the monitoring device of the refrigerated container;

[0006] The data collector is provided with a data collection box and a data collection line, and the two ends of the data collection line are connected with the data collection box and the first interface respectively, and the data collector is used for collecting refrigerated container parameter information;

[0007] The data collection terminal is connected with the data collection box, controls multiple data collectors, and transmits the collected refrigerated container data to the data collection terminal for data summarization;

[0008] The data switch is connected with the data collection terminal and is used for data receiving and distribution, and the receiving and distribution mode includes wired transmission and wireless transmission;

[0009] The early warning module acquires the refrigerated container parameter information of the data switch, generates the grade of early warning information;

[0010] The publishing module outputs the early warning information;

[0011] The track crane automatically performs the box moving operation task according to the early warning information.

[0012] The utility model mainly solves the early warning application problem of full automatic wharf in refrigerated container, in view of the particularity that full automatic wharf site is unmanned, this needs the remote, accurate, real -time, efficient early warning of refrigerated container this box type, so that wharf operator can first time understand refrigerated container in wharf yard each item alarm information condition. The traditional refrigerated container early warning mode is passive early warning, namely when refrigerated container internal computer finds own system problem, transmits or shows alarm information outward, the system can automatically acquire and real -time monitoring refrigerated container each basic parameter, and carries out data comparison, utilizes system algorithm early investigation and discovery refrigerated container fault problem, and when refrigerated container has failure premonition, can early warning, let wharf operator have sufficient time to analyze and investigate the reason of refrigerated container anomaly, and then reach the purpose of early warning.

[0013] The main advantages of the utility model are:

[0014] First, the system acquires and monitors the basic parameters of the refrigerated container in real time, performs relevant data analysis and comparison, classifies, records and analyzes suspicious values, compares the refrigerated container with actual conditions to determine whether the refrigerated container is truly faulty or the information is incorrect, and then performs early warning on the working condition of the truly faulty refrigerated container.

[0015] Second, the system can acquire the refrigerated container early warning information into the intelligent early warning system in various ways such as 5G transmission and wired transmission according to the high requirement of the automatic wharf on the transmission channel.

[0016] Third, the system sends the refrigerated container early warning information in various ways such as the early warning system interface, the refrigerated container handheld terminal, WeChat, and short message according to the particularity that the automatic wharf site is unmanned.

[0017] Fourth, the system can early warning notify the wharf manager when the refrigerated container has a serious fault that threatens the production safety, and automatically generates a box moving task according to the wharf production system, transports the faulty refrigerated container to a safe area in time, ensures the safety of the on-site equipment and other refrigerated containers, and achieves the purpose of preventing and reducing disasters in the refrigerated container yard of the container wharf. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 It is a refrigerated container intelligent early warning system schematic diagram of the automatic wharf.

[0019] Figure 2 A pre-warning module schematic view of the utility model.

[0020] The utility model of figure mark is: 1: refrigerated container;2: monitoring device;3: data interface module;4: first interface;5: second interface;6: data acquisition box;7: data acquisition line;8: data acquisition terminal;9: data switch;10: pre-warning module;11: release module;12: rail crane;13: wharf production system;100: first core processing module;101: second core processing module;102: third core processing module;103: fourth core processing module;104: fifth core processing module;110: monitoring interface;111: handheld terminal;112: wechat service;113: SMS service. DETAILED DESCRIPTION

[0021] The utility model of drawing is only for example explanation, can not be understood as the limitation of the utility model. In order to better illustrate the following embodiment, some components of the drawing will be omitted, enlarged or reduced, and the size of actual product is not represented;For those skilled in the art, it is understandable that some well-known structures in the drawing and their description can be omitted.

[0022] The application embodiment provides a kind of refrigerated container 1 intelligent pre-warning system applied to automatic wharf, such as Figure 1 , system includes:

[0023] Refrigerated container 1, the refrigerated container 1 is equipped with monitoring device 2 and data interface module 3, data interface module 3 can read refrigerated container 1 parameter information, the data interface module 3 includes first interface 4, the first interface 4 is connected with the monitoring device 2 of refrigerated container 1;

[0024] Data collector, the data collector has multiple, data collector is equipped with data acquisition box 6 and data acquisition line 7, data acquisition line 7 two ends are connected data acquisition box 6 and first interface 4 respectively, and the data collector is used to collect refrigerated container 1 parameter information;

[0025] Data acquisition terminal 8, data acquisition terminal 8 connects data acquisition box 6, controls multiple data collectors, and transmits the refrigerated container 1 data collected to data acquisition terminal 8 to carry out data summary;

[0026] Data switch 9, the data switch 9 is connected with data acquisition terminal 8, is used for data reception and distribution, and the reception and distribution mode includes wired transmission and wireless transmission;

[0027] Pre-warning module 10, the pre-warning module 10 obtains refrigerated container 1 parameter information of data switch 9, generates the level of pre-warning information;

[0028] The publishing module 11 outputs the early warning information.

[0029] The track crane 12 automatically performs the box moving task according to the early warning information.

[0030] The refrigerated container 1 is a special container, and the goods, stacking position and value loaded in the refrigerated container 1 are quite different from those of ordinary containers. One of the most important functions is to keep the refrigerated container 1 cold. In order to keep the temperature in the refrigerated container 1 low, the first requirement is to cool the outside machine, which generally uses a compressor to achieve refrigeration. The compressor needs energy, that is, a storage battery or external power of the yard. The second is to keep the temperature in the container. Usually, the container is wrapped with insulation materials to achieve the insulation effect. In order to keep the temperature in the container, it is very important to monitor the refrigeration function of the container. The system is to obtain the parameter information of the refrigerated container 1, and then analyze and compare intelligently to determine whether the parameter information in the refrigerated container 1 is normal, and whether there is an abnormality in advance.

[0031] In order to know the situation in the refrigerated container 1 in real time, the monitoring device 2 needs to be used for collection. The monitoring device 2 can be arranged in the refrigerated container, on the surface of the refrigerated container and around the refrigerated container. In the refrigerated container, temperature monitoring equipment, humidity monitoring equipment, compressor monitoring equipment and battery pack monitoring equipment are arranged. On the surface of the refrigerated container, speed monitoring equipment, temperature monitoring equipment and dispatch monitoring equipment are arranged. Around the refrigerated container, a camera device is arranged.

[0032] Various dimensions are comprehensively monitored to the refrigerated container 1 to master the various situations of the refrigerated container 1 to the greatest extent. In order to transmit the parameter information of the refrigerated container 1 to the early warning system, the refrigerated container 1 is provided with a data interface module 3, which is mainly used for transmitting information to the outside. In this embodiment, the first interface 4 is connected with the monitoring device 2 of the refrigerated container 1, and the first interface 4 belongs to an expansion interface, which can be connected with the first interface 4 through an external device and read the information monitored by the monitoring device 2. In order to take into account different refrigerated container 1 manufacturers, preferably, the system further comprises a refrigerated container 1 model automatic matching device, which can be compatible with refrigerated containers 1 of different manufacturers. In some embodiments, the data interface module 3 further comprises a second interface 5, which displays the parameter information of the refrigerated container 1. The second interface 5 can be connected with a display device. The second interface 5 can be displayed through a display, or connected with other different display devices, or remotely connected for viewing.

[0033] The data acquisition box 6 is connected with the first interface 4 through the data acquisition line 7, and the parameter information of the refrigerated container 1 is relatively large, so a plurality of data acquisition boxes 6 can be used for acquisition at the same time, and then the data acquisition terminal 8 is used for unified collection and summary, and the summarized data is transmitted to the data switch 9. The data switch 9 is used as a relay device, receives and distributes useful data through wired or wireless transmission mode, and stores the useful data in the early warning module 10.

[0034] As Figure 2 The early warning module 10 comprises:

[0035] The first core processing module 100 generates a reliable data source, a suspicious data source and a fault data source based on the parameter information of the refrigerated container 1, and is used for predicting the operation data of the refrigerated container 1.

[0036] The second core processing module 101 obtains the prediction data in the first core processing module 100, compares the prediction data with a pre-set threshold, and is used for confirming the suspicious data in the prediction data.

[0037] The third core processing module 102 obtains the suspicious data in the second core processing template, compares the suspicious data with historical monitoring data, and is used for confirming the suspicious data early warning result.

[0038] The fourth core processing module 103 obtains the set temperature, the air supply temperature and the return air temperature, generates a temperature trend curve diagram, and is used for confirming the temperature trend.

[0039] The fifth core processing module 104 is used for fault positioning of the device component.

[0040] Through the analysis and processing of the monitoring data by the five core processing modules in the early warning module 10, the level of the early warning information is obtained, including general early warning and serious early warning. The temperature in the refrigerated container is greater than 6 degrees for general early warning, and greater than 10 degrees for serious early warning.

[0041] In the embodiment, if it is monitored that the refrigerated container 1 has early warning, the wharf production system 13 controls the track crane 12 to transport the refrigerated container 1 to a safe area according to the level of the early warning information.

[0042] At the same time, in order to transmit the monitored early warning to the outside and timely inform the person in charge to remedy, the embodiment proposes a publishing module 11, which comprises a monitoring interface 110, a handheld terminal 111, a WeChat service 112 and an SMS service 113.

[0043] In some embodiments, the system further comprises a refrigerated container 1 plug-in state monitoring device, and the rail-mounted crane 12 confirms whether the refrigerated container 1 is in a plug-in state before automatically performing the pre-alarm information. The refrigerated container 1 in the plug-in state is directly powered off or the plug-in device is damaged when the rail-mounted crane 12 transports the refrigerated container 1 to a safe area.

[0044] The utility model further provides an embodiment, specifically:

[0045] The data collector is provided with a data collection box 6 and a data collection line 7, the plug of the data collection line 7 is inserted into the data interface of the refrigerated container 1, and the acquisition device can automatically obtain the refrigerated container 1 related parameter information.

[0046] The data collection terminal 8 controls multiple data collectors, and the data collector is connected with the data collection terminal 8 through a wired connection and transmits the collected refrigerated container 1 data to the data collection terminal 8 for data summarization.

[0047] The data collection terminal 8 is provided with a 5G sim card interface and a network cable interface, and can transmit the data of multiple collectors obtained, that is, multiple box data at the same time, to the data switch 9 receiving data through 5G communication or wired transmission.

[0048] The data switch 9 is provided with wireless transmission and wired transmission devices, has the functions of wireless data reception and wired data reception, and realizes the function of data reception and redistribution.

[0049] The intelligent early warning system obtains the refrigerated container 1 related parameters from the data switch 9.

[0050] The intelligent early warning system analyzes, compares, judges and processes the refrigerated container 1 related data according to the early warning rules entered in advance, compares whether the refrigerated container 1 is a real fault or the information is wrong according to the actual situation, and then pre-warns the working condition of the real fault.

[0051] The intelligent early warning system publishes the warning information obtained by analysis, and can be published in the early warning system monitoring interface 110, the early warning system handheld terminal 111, the early warning system WeChat service 112 and the early warning system SMS service 113 respectively or simultaneously according to the setting, that is, the terminal operator can obtain the refrigerated container 1 early warning information from the system monitoring interface 110, the handheld terminal 111, the mobile phone WeChat service 112 and the mobile phone SMS service 113. At the same time, the WeChat end and the SMS end can realize external network transmission, that is, the terminal operator can also obtain the relevant early warning information in time when not in the terminal company.

[0052] When the terminal production system 13 receives the refrigerated container 1 yard pick-up or transfer task, the intelligent early warning system can synchronize to the task information, and check whether the refrigerated container 1 is in the plug-in state at this time. If it is in the plug-in state, it will automatically warn that the plug-in operation needs to be performed before the pick-up or transfer task can be performed.

[0053] When the system warns that the refrigerated container 1 sends a serious production safety hazard fault, such as battery pack temperature is too high, compressor pressure ratio is too high, and overheat control loss, the terminal management personnel are immediately warned, and the terminal production system 13 automatically generates a transfer task to transport the faulty refrigerated container 1 to a safe area in time, ensuring the safety of the on-site equipment and other refrigerated containers 1.

[0054] In this embodiment, specifically:

[0055] The refrigerated container 1 data acquisition device includes a data acquisition device and a data acquisition terminal 8. The acquisition plug in the acquisition device is inserted into the refrigerated container 1 interface to automatically obtain data, and the terminal is responsible for packaging data. At the same time, a 5G communication module and a network interface are built-in, and the information transmission mode can be set in the terminal. At the same time, when one of 5G communication or wired communication is interrupted, the terminal will automatically start another communication mode to ensure the stability of data transmission.

[0056] The early warning rule management module can allow the terminal operator to set the refrigerated container 1 early warning rule, and can also customize the early warning prompt information.

[0057] The intelligent early warning system core processing module is to predict, analyze, compare, and process the collected refrigerated container 1 data, and process the data through the early warning rules set by the operator in advance. When the set value is reached or exceeded, the early warning will start. At the same time, the system also has automatic comparison and data analysis functions. For suspicious abnormal data or data that deviates greatly from normal values, the system will also make a preliminary judgment according to the situation, and then judge that the data may be abnormal and give an early warning, so as to achieve the effect of automatic early warning.

[0058] At the same time, because the refrigerated container 1 is produced by multiple manufacturers, the protocols used by different manufacturers are also different. The core processing module can identify the production brand of the current refrigerated container 1, and automatically match the collection protocol version according to the refrigerated container 1 model, so as to accurately match the collection protocol and collect the refrigerated container 1.

[0059] The early warning core module mainly uses refrigerated container 1 operation prediction, suspicious collection data analysis, historical monitoring data comparison, intelligent temperature trend curve generation, and intelligent fault positioning technology.

[0060] The refrigerated container 1 operation prediction technology is to obtain current refrigerated container 1 multiple operation data sources and related operation characteristics, and to divide and classify multiple operation data sources and matched operation states to generate reliable data sources, suspicious data sources and fault data sources. The cost function is used to deepen the characteristics of the reliable data sources, and to distinguish the data that is actually converted into fault data sources and the data that is not converted in the suspicious data sources, and the results are trained by neurons to obtain the prediction data model of the refrigerated container 1, so as to achieve the prediction effect of the refrigerated container 1 operation data.

[0061] Suspicious data analysis is to obtain the suspicious data prediction result of the refrigerated container 1, and to take the refrigerated container 1 box factory protocol data threshold range as the reference system to achieve the purpose of data analysis. The actual suspicious data prediction result obtained by the system is the main guide, and the reference box factory protocol data threshold range is used as an auxiliary reference. The two data are compared and analyzed to see if the system prediction result is far away from the box factory protocol data threshold. If the numerical difference is far away, the actual situation needs to be rechecked to predict the prediction result. If the numerical difference is within a reasonable range, it means that the prediction and analysis result is reliable, and the prediction mode can be continued.

[0062] The historical monitoring data comparison is to generate a refrigerated container 1 historical data table by collecting the data of the box record in the last three months or so, and the time can be adjusted in the early warning rule. According to the historical suspicious data and fault data provided by the previous record, the suspicious prediction result after data analysis is compared, but only the data of the same box factory and the same version of the protocol has comparison value, so only the historical data of the refrigerated container 1 and the protocol data of the same version are compared. The box factory of the refrigerated container 1 will not change, but the version protocol may be updated. When the historical data is compared with the fault data, the suspicious data early warning result is generated in time to inform the operator of the possible fault.

[0063] The intelligent generation of temperature trend curve diagram is to obtain the set temperature, supply air temperature and return air temperature, and to intelligently generate the temperature trend curve diagram by using the coordinate system. The temperature trend curve can be dynamically extended and simulated, and the future temperature trend trajectory in a short time is simulated by using historical data as the reference system, so as to achieve the effect of predicting the future temperature trend, and to issue an early warning for the refrigerated container 1 that may exceed the temperature difference setting in the future.

[0064] The intelligent fault positioning technology is to obtain a warning result after synchronous data acquisition and analysis of a plurality of data sensors of the refrigerated container 1, to know the corresponding equipment component from the warning result, to position the suspicious compressor fault, temperature sensor fault, humidity sensor fault, speed sensor fault, battery pack fault and other equipment components, so as to achieve the effect of accurately and intelligently positioning the fault equipment.

[0065] The intelligent early warning system adopts the interface mode to connect the automatic wharf production system 13, so that the early warning system can synchronize the related task information, and can check whether the refrigerated container 1 is in the plug-in state, the running state and the like at this time, and if it is in the unworkable state, the related early warning information is timely issued.

[0066] The collected refrigerated container 1 information is dynamically stored in the database, and the related interface is opened to allow other authorized systems to access and read the related refrigerated container 1 data.

[0067] The early warning information issuing module can set the information issuing channel, and there are four information issuing modes, i.e., the monitoring interface 110, the handheld terminal 111, the WeChat service 112 and the short message service 113, which can be selected.

[0068] The WeChat service 112 of the early warning system connects the WeChat channel of the early warning system, and connects the WeChat public number platform of the company, i.e., the early warning information can be displayed in the form of a dialogue box on the WeChat public number platform of the company.

[0069] The short message service 113 of the early warning system connects the short message channel of the early warning system, and connects the short message platform of the company, i.e., the early warning information is transmitted to the short message platform of the company, and the short message platform sends the short message to the mobile phone of the operator through the short message mode.

[0070] Obviously, the above embodiments of the utility model are only examples for clearly explaining the technical scheme of the utility model, and are not the limitation of the specific embodiments of the utility model. Any modification, equivalent replacement and improvement made within the spirit and principle of the utility model claim should be included in the protection scope of the utility model claim.

Claims

1. An intelligent early warning system for refrigerated containers of an automated port, characterized in that, The system comprises: A refrigerated container provided with a monitoring device and a data interface module, the data interface module being capable of reading refrigerated container parameter information, the data interface module comprising a first interface connected with the monitoring device of the refrigerated container; A plurality of data collectors, each data collector being provided with a data collection box and a data collection line, the two ends of the data collection line being connected with the data collection box and the first interface respectively, the data collector being used for collecting refrigerated container parameter information; A data collection terminal connected with the data collection box, the data collection terminal being used for controlling a plurality of data collectors and transmitting collected refrigerated container data to the data collection terminal for data aggregation; A data switch connected with the data collection terminal, the data switch being used for data receiving and distribution, the receiving and distribution modes including wired transmission and wireless transmission; An early warning module, the early warning module being used for obtaining refrigerated container parameter information of the data switch and generating an early warning information level; A publishing module, the publishing module being used for outputting early warning information; A rail-mounted crane, the rail-mounted crane being used for automatically performing a box moving task according to the early warning information.

2. The intelligent early warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The rail-mounted crane is connected with a terminal production system, the terminal production system being used for controlling the rail-mounted crane to transport the refrigerated container to a safe area according to the early warning information level.

3. The intelligent early warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The data interface module further comprises a second interface, the second interface being used for displaying refrigerated container parameter information, and the second interface being connectable with a display device.

4. The intelligent early warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The monitoring device is arranged inside, on the surface of, and around the refrigerated container.

5. The intelligent early warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The monitoring device comprises: Inside the refrigerated container, temperature monitoring equipment, humidity monitoring equipment, compressor monitoring equipment, and battery pack monitoring equipment are arranged; On the surface of the refrigerated container, speed monitoring equipment, temperature monitoring equipment, and dispatch monitoring equipment are arranged; Around the refrigerated container, camera equipment is arranged.

6. The intelligent early warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The system further comprises a refrigerated container model automatic matching device.

7. The intelligent warning system for refrigerated containers of an automated port according to claim 1, characterized in that, The system further comprises a refrigerated container plug-in state monitoring device, the rail-mounted crane being used for confirming whether the refrigerated container is in a plug-in state before automatically performing the box moving task according to the early warning information.

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