CN117151570B - Cold source pipeline monitoring method of box body for cold chain transportation - Google Patents
Cold source pipeline monitoring method of box body for cold chain transportation Download PDFInfo
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Abstract
The application provides a cold source pipeline monitoring method of a box body for cold chain transportation, which relates to the technical field of pipeline monitoring, and comprises the following steps: the method comprises the steps of firstly determining basic configuration information of a cold source pipeline, then constructing a knowledge graph, determining a plurality of abnormal storage monitoring points, then determining time sequence monitoring data, carrying out abnormal positioning and differential measurement tracing, thereby determining abnormal operation control information of a box body, then identifying the abnormal operation control information to configure an abnormal maintenance scheme, and carrying out adjustment and control of abnormal operation. The method mainly solves the technical problems that the flow and the temperature of the refrigerant cannot be regulated and controlled in real time, the abnormality of the pipeline cannot be obtained in real time and the pipeline cannot be maintained, and the limitation of periodic maintenance is also solved. The time sequence monitoring data is determined through monitoring the box body operation and control, then the abnormality is determined, and maintenance and adjustment and rest management and control are carried out. And the cold chain transportation is more reliable and intelligent.
Description
Technical Field
The invention relates to the technical field of pipeline monitoring, in particular to a cold source pipeline monitoring method of a box body for cold chain transportation.
Background
The cold source pipeline is a pipeline system for conveying a refrigerant and realizing refrigeration or freezing functions. In the fields of cold chain logistics, refrigeration equipment and the like, cold source pipelines are widely used to maintain cooling and temperature control of products or equipment. Cold chain transport line monitoring is important because cold chain transported items typically need to be kept at a certain temperature and humidity to ensure their quality and safety.
The prior art uses excellent low temperature resistance, high heat conductivity coefficient and good metal processing manufacturability. Including copper, stainless steel, seamless steel pipe, etc. are used. The diameter and wall thickness of the tubing are selected and designed according to the refrigeration capacity requirements to ensure adequate refrigeration capacity and good heat exchange. The cold source pipeline needs to be cleaned and maintained regularly in the use process so as to prevent the problems of leakage of the refrigerant, blockage of the pipeline and the like.
The prior art has the technical problems that the flow and the temperature of the refrigerant cannot be regulated and controlled in real time, the abnormality of a pipeline cannot be obtained in real time, the pipeline is maintained, and the regular maintenance has certain limitation.
Disclosure of Invention
The method mainly solves the technical problems that the flow and the temperature of the refrigerant cannot be regulated and controlled in real time, the abnormality of the pipeline cannot be obtained in real time and the pipeline cannot be maintained, and the limitation of regular maintenance is also solved.
In view of the foregoing, an embodiment of the present application provides a method for monitoring a cold source pipeline of a cold chain transportation box, and in a first aspect, the embodiment of the present application provides a method for monitoring a cold source pipeline of a cold chain transportation box, including: and determining cold source pipeline basic configuration information of the cold chain transportation box body, wherein the cold source pipeline basic configuration information comprises hardware configuration information and system configuration information. And constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline, wherein the cold source pipeline knowledge graph comprises a multi-stage mapping layer. And identifying a plurality of different storage monitoring points based on the cold source pipeline knowledge graph, wherein each different storage monitoring point is identified with at least one monitoring dimension. And carrying out box body operation and control monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references, and determining time sequence monitoring data. And transmitting the time sequence monitoring data to a cold control analysis model, and carrying out anomaly matching positioning and differential measurement tracing to determine abnormal operation control information of the box body, wherein the cold control analysis model is provided with a plurality of fully-connected network layers which are configured corresponding to the multi-level mapping layers. And identifying abnormal operation control information of the box body, and configuring an abnormal maintenance scheme, wherein the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme. And based on the abnormal maintenance scheme, the cold chain transportation box body is subjected to maintenance management and control based on abnormal operation of the cold source pipeline.
In a second aspect, embodiments of the present application provide a cold source line monitoring system for a cold chain transportation box, the system comprising: the basic configuration information determining module is used for determining basic configuration information of a cold source pipeline of the cold chain transportation box body, and the basic configuration information of the cold source pipeline comprises hardware configuration information and system configuration information. The knowledge graph construction module is used for constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline, wherein the cold source pipeline knowledge graph comprises a multi-level mapping layer. The different-storage monitoring point identification module is used for identifying a plurality of different-storage monitoring points based on the cold source pipeline knowledge graph, wherein each different-storage monitoring point is identified with at least one monitoring dimension. And the time sequence monitoring data determining module is used for carrying out box body operation monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references to determine time sequence monitoring data. The box abnormal operation control information determining module is used for transmitting the time sequence monitoring data to the cold control analysis model, carrying out abnormal matching positioning and differential measurement tracing, and determining box abnormal operation control information, wherein the cold control analysis model is provided with a plurality of fully-connected network layers which are configured corresponding to the multi-level mapping layers. The abnormal maintenance scheme configuration module is used for identifying abnormal operation control information of the box body and configuring an abnormal maintenance scheme, and the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme. The abnormal operation control and regulation module is used for controlling the abnormal operation of the cold chain transportation box body based on the abnormal maintenance scheme.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the application provides a cold source pipeline monitoring method of a box body for cold chain transportation, which relates to the technical field of pipeline monitoring, and comprises the following steps: the method comprises the steps of firstly determining basic configuration information of a cold source pipeline, then constructing a knowledge graph, determining a plurality of abnormal storage monitoring points, then determining time sequence monitoring data, carrying out abnormal positioning and differential measurement tracing, thereby determining abnormal operation control information of a box body, then identifying the abnormal operation control information to configure an abnormal maintenance scheme, and carrying out adjustment and control of abnormal operation.
The method mainly solves the technical problems that the flow and the temperature of the refrigerant cannot be regulated and controlled in real time, the abnormality of the pipeline cannot be obtained in real time and the pipeline cannot be maintained, and the limitation of periodic maintenance is also solved. The time sequence monitoring data is determined through monitoring the box body operation and control, then the abnormality is determined, and maintenance and adjustment and rest management and control are carried out. And the cold chain transportation is more reliable and intelligent.
The foregoing description is merely an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
Fig. 1 is a schematic flow chart of a method for monitoring a cold source pipeline of a cold chain transportation box according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for generating an abnormal maintenance scheme in a cold source pipeline monitoring method for a cold chain transportation box according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a method for generating a cold source pipeline knowledge graph in a cold source pipeline monitoring method for a cold chain transportation box according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a cold source pipeline monitoring system of a cold chain transportation box according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a basic configuration information determining module 10, a knowledge map constructing module 20, a different monitoring point identifying module 30, a time sequence monitoring data determining module 40, a box abnormal operation control information determining module 50, an abnormal maintenance scheme configuring module 60 and an abnormal operation repairing and controlling module 70.
Detailed Description
The method mainly solves the technical problems that the flow and the temperature of the refrigerant cannot be regulated and controlled in real time, the abnormality of the pipeline cannot be obtained in real time and the pipeline cannot be maintained, and the limitation of periodic maintenance is also solved. The time sequence monitoring data is determined through monitoring the box body operation and control, then the abnormality is determined, and maintenance and adjustment and rest management and control are carried out. And the cold chain transportation is more reliable and intelligent.
For a better understanding of the foregoing technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments of the present invention:
example 1
The method for monitoring the cold source pipeline of the box body for cold chain transportation as shown in fig. 1 comprises the following steps:
determining cold source pipeline basic configuration information of a cold chain transport box body, wherein the cold source pipeline basic configuration information comprises hardware configuration information and system configuration information;
specifically, the cold source pipeline basic configuration information of the cold chain transportation box body is determined, and the cold source pipeline basic configuration information comprises a temperature sensor: a temperature sensor with high precision and stability should be selected, and proper measuring range and resolution should be selected according to practical requirements. Data acquisition unit: a data collector with higher sampling rate and data processing capacity is selected, so that the temperature data of the temperature sensor can be collected in real time and necessary preprocessing can be performed. In addition, the data collector should also be provided with a wireless or wired communication interface, so that collected data can be transmitted to the data processing terminal. And an alarm device: alarm devices with high sensitivity and reliability, such as audible and visual alarm, short message alarm and the like, are selected. System configuration information: and (3) a data processing terminal: the data processing terminal with stronger data processing capability and good man-machine interaction interface, such as an industrial control computer, an embedded system and the like, is adopted. The data processing terminal can analyze and process the received temperature data in real time and perform corresponding control operation according to the analysis result. Data transmission protocol: reliable data transfer protocols, such as Modbus, TCP/IP, etc., should be selected to ensure stability of the data transfer. The data storage scheme is as follows: storing the temperature data in a reliable storage device, system security: necessary measures should be taken to ensure the security of the system, such as access control, encrypted communications, etc., to protect the system from unauthorized access and malicious attacks.
Constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline, wherein the cold source pipeline knowledge graph comprises a multi-stage mapping layer;
specifically, basic configuration information is determined: firstly, basic configuration information of a cold source pipeline needs to be defined, wherein the basic configuration information comprises basic structures, component parts, materials, sizes, connection modes and the like of the pipeline. This information will serve as the basis for constructing the knowledge-graph. And (3) establishing a conceptual model: and according to the basic configuration information, a conceptual model of the cold source pipeline can be established. The conceptual model should contain various concepts related to the piping, such as refrigerant type, workflow, operating conditions, etc., and each concept is defined and described. Designing a mapping relation: on the basis of the conceptual model, the mapping relation between different concepts can be designed. These mappings may be classification relationships, association relationships, hierarchy relationships, etc. For example, the refrigerant type and the workflow may have a classification relationship, and the refrigerant type and the operation state may have an association relationship. Building a mapping layer: according to the mapping relation, a multi-level mapping layer can be constructed, and basic configuration information is mapped to different levels of abstraction. Each mapping layer may represent a specific class of knowledge, such as refrigerant type and its relationship to each other, component parts of the piping and its relationship to each other, etc. Constructing a knowledge graph: and combining the mapping layers to form a complete cold source pipeline knowledge graph. The knowledge graph can express the complete knowledge system of the cold source pipeline, including the composition, structure, working principle, running state, etc. of the pipeline.
Identifying a plurality of different storage monitoring points based on the cold source pipeline knowledge graph, wherein each different storage monitoring point is marked with at least one monitoring dimension;
specifically, concepts and entities in the knowledge graph are determined: first, it is necessary to clarify concepts and entities involved in the knowledge graph, such as refrigerant type, workflow, operation state, etc. Determining concepts and entities involved in monitoring points: for each distinct monitoring point, the concepts and entities involved in it need to be determined, such as the status and operating parameters of monitoring devices such as temperature sensors, pressure sensors, etc. Mapping monitoring points: each distinct monitoring point is mapped onto a corresponding concept and entity in the knowledge graph, such as mapping a temperature sensor onto a temperature monitoring layer. Determining a monitoring dimension: for each distinct monitoring point, its monitoring dimensions, such as temperature, pressure, level, etc., need to be determined. These dimensions can be adjusted and extended according to the actual situation. Identifying monitoring points: and identifying each abnormal monitoring point in the knowledge graph according to the mapping relation and the determined monitoring dimension, for example, identifying the position and the monitoring dimension of the temperature sensor in the temperature monitoring layer. Multiple distinct monitoring points may be identified based on the cold source piping knowledge graph and at least one monitoring dimension may be identified for each monitoring point. These monitoring points can provide effective monitoring and support for the normal operation of cold source pipeline.
Carrying out box body operation monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references, and determining time sequence monitoring data;
specifically, data acquisition: and monitoring data such as temperature, pressure, liquid level and the like in the cold chain transportation box body are acquired in real time through the data acquisition device. And (3) data transmission: and transmitting the acquired data to a data processing terminal in a wireless or wired mode. And (3) data processing: and processing the received data in the data processing terminal, including data cleaning, outlier processing and the like. Monitoring point analysis: and analyzing the change trend of the monitoring data and the relation between the change trend and other monitoring points aiming at each different monitoring point. Determination of time-series monitoring data: by analyzing the monitoring point data, the time sequence monitoring data of each monitoring point can be determined. These time series monitoring data may reflect the real-time status and trend of the cold chain transport case. And establishing a box body operation monitoring system in the cold chain transportation process based on a plurality of different storage monitoring points, and determining corresponding time sequence monitoring data. These data can provide effective support for quality control and optimization of cold chain transport.
Transmitting the time sequence monitoring data to a cold control analysis model, and carrying out anomaly matching positioning and differential measurement tracing to determine abnormal operation control information of the box body, wherein the cold control analysis model is provided with a plurality of fully-connected network layers which are configured corresponding to the multi-level mapping layers;
specifically, data preprocessing: and preprocessing the time sequence monitoring data transmitted to the cold control analysis model, including data cleaning, outlier processing and the like, so as to ensure the accuracy and reliability of the data. Feature extraction: features associated with each monitoring point, such as time series data, bin status information, etc., are extracted from the preprocessed data. Abnormal matching and positioning: the extracted features are input into a multi-layer full-connection network layer in a cold control analysis model, and the features are analyzed by adopting methods such as deep learning and the like to perform abnormal matching positioning. Specifically, it is determined whether the monitoring point is abnormal, and the type and extent of the abnormality. Differential metric tracing: on the basis of abnormality matching and positioning, differential measurement is carried out on the abnormal conditions of the monitoring points, and the reasons and sources of abnormality generation are analyzed. This requires deep analysis and inference of concepts and entities in the cold source piping knowledge graph, such as inferring factors that may affect the cabinet operation based on the relationship between the refrigerant type and the workflow. Determining abnormal operation control information of the box body: by analyzing the monitoring data, abnormal operation and control information of the box body can be determined. Such information includes the type, extent, location, cause of the occurrence, etc. of the anomaly. Through the steps, the time sequence monitoring data can be transmitted to a cold control analysis model, abnormal matching positioning and differential measurement tracing can be carried out, and abnormal operation control information of the box body can be determined. The accuracy and efficiency of fault detection and localization can be improved.
Identifying abnormal operation control information of the box body, and configuring an abnormal maintenance scheme, wherein the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme;
specifically, the operation control self-adjusting scheme is configured: for some simple abnormal conditions, a corresponding operation control self-adjusting scheme can be configured. The schemes can correct abnormal states of the box body by means of automatically adjusting operation parameters of the box body or controlling flow rate of the refrigerant. For example, when the temperature is monitored to be too high, the cooling time may be automatically adjusted to reduce the temperature. And (3) configuration of an operation and control repair scheme: for some serious abnormal situations, a corresponding operation and control repair scheme needs to be configured. These protocols require intervention and repair by manual or semi-manual means. For example, when a refrigerant leak is detected, it may be necessary to manually perform maintenance or replace components such as refrigerant piping. Through the steps, the abnormal operation and control information of the box body can be identified, and a corresponding abnormal maintenance scheme is configured. The schemes can effectively treat various abnormal conditions and improve the quality and efficiency of cold chain transportation.
And based on the abnormal maintenance scheme, the cold chain transportation box body is subjected to maintenance management and control based on abnormal operation of the cold source pipeline.
Specifically, data monitoring and analysis: and the parameters such as temperature, pressure, liquid level and the like in the cold chain transportation box body are monitored in real time through the cold source pipeline monitoring system, and are analyzed. If abnormal data or abnormal running state is found, corresponding processing is needed. Abnormality confirmation and localization: after the abnormality is found in the data detection and analysis, the type and position of the abnormality need to be further confirmed. Through cold source pipeline knowledge graph and cold control analysis model, can pinpoint the position and the reason that the unusual emergence took place. Maintenance scheme selection: and selecting a corresponding maintenance scheme according to the type and degree of the abnormality. If the operation is simple, executing a corresponding operation control self-adjusting scheme; if the fault is serious, a control and maintenance scheme needs to be executed. And (3) regulating and controlling implementation: after the maintenance scheme is selected, the maintenance scheme can be applied to the adjustment and control of the cold chain transportation box body. Specifically, the cold chain transport case can be adjusted and controlled accordingly as required by the maintenance scheme. For example, if a refrigerant line needs to be replaced, personnel may be arranged to replace the line while the tank is being commissioned and tested accordingly. Through the steps, the cold chain transportation box body can be subjected to adjustment, maintenance and control based on abnormal operation of the cold source pipeline, the quality and the efficiency of cold chain transportation are improved, and meanwhile, the probability of fault occurrence is reduced. The monitoring, analysis and feedback-based adjustment and control mode can provide a more reliable and intelligent solution for the cold chain transportation industry.
Further, according to the method, the basic configuration information of the cold source pipeline of the cold chain transport case is determined, and the method comprises the following steps:
the hardware configuration comprises a variable-frequency cold control unit based on an evaporator, a condenser and a compressor and a temperature and humidity recorder;
the system configuration comprises cold source pipeline distribution and cold circulation configuration;
and the interaction is based on the basic architecture information and operation and maintenance control standard of the hardware configuration and the system configuration, and the basic architecture information and the operation and maintenance control standard are used as the basic configuration information of the cold source pipeline.
Specifically, the evaporator: an evaporator with high-efficiency refrigeration performance, stability and reliability should be selected. Depending on the actual requirements, different types of evaporators may be chosen, such as direct expansion evaporators, refrigerant pumping evaporators, etc. Meanwhile, in view of maintenance convenience, an evaporator which is easy to disassemble and clean may be selected. And (3) a condenser: the condenser should be selected to have good heat dissipation, stability and reliability. Different types of condensers may be selected according to practical requirements, such as air-cooled condensers, water-cooled condensers, and the like. Meanwhile, in view of maintenance convenience, a condenser that is easy to disassemble and clean may be selected. A compressor: the compressor should be selected to have high efficiency, stability and reliability. Different types of compressors may be chosen according to the actual requirements, such as reciprocating compressors, rotary compressors, etc. Meanwhile, in view of maintenance convenience, a compressor that is easy to disassemble and clean may be selected. Variable-frequency cold control unit: the variable-frequency cold control unit with good refrigeration effect, stability and reliability should be selected. The variable-frequency cold control unit can adjust the rotating speed of the compressor, thereby adjusting the flow rate and the refrigerating capacity of the refrigerant. Temperature and humidity recorder: a temperature and humidity recorder with high precision, stability and reliability should be selected. The temperature and humidity recorder can monitor the temperature and humidity inside the box in real time and transmit data to the data processing terminal for analysis and processing. Cold source pipeline distribution: the cold source pipeline distribution is reasonable and reliable in design and easy to maintain. In view of the safety and reliability of the pipeline, the pipeline connection should be reduced and the pipeline length should be shortened as much as possible. Meanwhile, in view of maintenance convenience, pipelines should be reasonably distributed so as to facilitate inspection and maintenance. Cold cycle configuration: the design is reasonable, reliable and efficient in cold circulation configuration. In consideration of the flow and heat exchange effect of the refrigerant, parameters such as a cold circulation path, a pipeline diameter and the like should be reasonably selected. Meanwhile, in view of maintenance convenience, pipe connection should be reduced and pipe length should be shortened as much as possible. Collecting hardware configuration information: including performance parameters, specifications, technical characteristics, etc. of the evaporator, condenser, compressor, etc. This gathers system configuration information: the method comprises the steps of distribution of cold source pipelines, pipeline design, cold circulation configuration and the like. The information can be obtained from documents such as engineering drawings, system architecture diagrams, operation and maintenance manuals and the like. Analyzing the reference architecture information: analyzing the collected hardware configuration information and system configuration information, understanding the advantages and disadvantages of various configurations, and determining the optimal combination between different configurations. Meanwhile, the requirements of practical application scenes, such as refrigeration effect, equipment energy consumption, maintenance cost and the like, also need to be considered. And (3) formulating operation and maintenance control standards: based on the analyzed reference architecture information, corresponding operation and maintenance control standards are formulated. These criteria may include operating procedures, maintenance planning, troubleshooting, and repair. Basic configuration information of an integrated cold source pipeline: and integrating the obtained reference architecture information with operation and maintenance control standards to form complete cold source pipeline basic configuration information. Such information may include hardware configuration and optimization schemes for system configuration, execution plans for operation and maintenance management standards, and the like.
Further, as shown in fig. 3, in the method of the present application, a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline is constructed, and the method includes:
constructing a topology network based on a cold source pipeline based on the hardware configuration and the system configuration;
reading the basic configuration information of the cold source pipeline, carrying out mapping labeling of the topological network, and determining a basic map layer;
reading standard operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build a standard map layer;
reading the different operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build an abnormal map layer;
and performing hierarchical mapping of the basic map layer, the standard map layer and the abnormal map layer and map node association to generate the cold source pipeline knowledge map.
Specifically, a topological network of the cold source pipeline is built based on hardware configuration and system configuration. The network includes the connection relation of various devices and components, distribution and configuration information of pipelines, and the like. And reading basic configuration information of the cold source pipeline, performing mapping labeling of the topology network, and determining a basic map layer. The basic map layer comprises various basic information of the cold source pipeline, such as equipment model, specification, position, length, diameter, connection mode and the like of the pipeline. And reading standard operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build a standard map layer. The standard operation and maintenance information refers to various parameter values, operation modes and the like of the cold source pipeline in a normal operation state. By analyzing the information, a standard map layer of the topological network can be established to reflect the normal running state of the cold source pipeline. And reading the different operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build an abnormal map layer. The persisting operation and maintenance information refers to abnormal conditions, fault handling methods and the like occurring in daily operation. By analyzing the information, an abnormal map layer of the topological network can be established to reflect the running condition of the cold source pipeline in an abnormal state. And performing hierarchical mapping of the basic map layer, the standard map layer and the abnormal map layer and associating with map nodes to generate a cold source pipeline knowledge map. The knowledge graph can comprehensively reflect the information of the running state, equipment information, fault processing and other aspects of the cold source pipeline. Through the steps, a topological network based on the cold source pipeline can be built based on hardware configuration and system configuration, and a comprehensive cold source pipeline knowledge graph is generated by analyzing basic configuration information, standard operation and maintenance information and different operation and maintenance information of the cold source pipeline. The knowledge graph can provide comprehensive and accurate information such as the running state of the cold source pipeline and fault processing for enterprises, and improves the running efficiency and reliability of the enterprises.
Further, according to the method, the cold source pipeline knowledge graph is generated, and the method comprises the following steps:
identifying differential dimension information based on the base map layer, the standard map layer, and the abnormal map layer;
performing entity digestion and coreference digestion processing on the differentiated dimension information, and determining local processing information;
and carrying out information compatible processing on the local processing information to acquire the cold source pipeline knowledge graph.
Specifically, differential dimension information is identified: by comparing and analyzing the information in the basic map layer, the standard map layer and the abnormal map layer, the differences and the similarities between the basic map layer, the standard map layer and the abnormal map layer can be identified, such as the differences of equipment operation parameters, the similarities of fault processing methods and the like. Performing entity resolution and coreference resolution processing: after the differential dimension information is determined, the information needs to be subjected to entity resolution and coreference resolution. Entity resolution refers to mapping a plurality of different entity identifiers or names to the same uniform identifier or name; coreference resolution processing refers to mapping a plurality of different references or descriptions to the same entity or concept. Thus, redundancy and ambiguity in the differential dimension information can be reduced, and the consistency and accuracy of the information are improved. Determining local processing information: after the entity digestion and the coreference digestion, the local processing information in the differential dimension information can be determined. Local processing information refers to additional information required to process a specific entity or concept in a specific field or scene. For example, when maintenance is performed on the cold source pipeline equipment, information such as the maintenance cycle and the maintenance content of the equipment needs to be known. And (3) carrying out information compatibility processing: after the local processing information is determined, the information is required to be processed in an information compatible way so as to acquire the cold source pipeline knowledge graph. The information compatible processing refers to integrating and integrating information of different sources, formats and types to form a unified and standard knowledge graph. For example, cold source pipeline equipment information, maintenance information and the like from different sources are integrated into one knowledge graph to form a comprehensive and accurate knowledge graph. Through the steps, the difference and the similarity among various information can be identified based on the differential outline information of the basic map layer, the standard map layer and the abnormal map layer, the entity digestion, the coreference digestion processing and the local processing are carried out, and finally the information compatibility processing is carried out to obtain the comprehensive cold source pipeline knowledge map.
Further, according to the method, the time sequence monitoring data is transmitted to a cold control analysis model to perform abnormal matching positioning and differential measurement tracing, and the method comprises the following steps:
the cold control analysis model is of a multi-layer fully-connected network structure and comprises an abnormal measurement layer built based on the standard map layer, a traceability analysis layer built based on the abnormal map layer and an abnormal positioning layer built based on the basic map layer, and a rear data integration unit;
and determining abnormal box operation control information based on the time sequence monitoring data by combining the cold control analysis model, wherein the abnormal box operation control information comprises a constant temperature controlled dimension, a cold air circulation dimension and a space temperature control uniform dimension.
Specifically, an anomaly metric layer built based on a standard map layer: this layer extracts features or patterns from the standard atlas layer for evaluating or measuring the behavior of the tank in normal operating conditions. When a large deviation from normal mode is found, an anomaly metric layer alarm may be triggered. Tracing analysis layer built based on abnormal map layer: the main task of this layer is to conduct deep analysis on the alarm behavior of the anomaly measurement layer, and find out the cause of the anomaly. This involves tracing the source of the abnormal behavior using some algorithm or model, such as time series analysis, causal analysis, etc. An abnormal positioning layer built based on a basic map layer: the main task of this layer is to locate anomalies. Various techniques may be involved, such as pattern recognition, deep learning, etc., for identifying and locating abnormal behavior in the underlying atlas layer. A post data integration unit: this unit may collect and integrate all level data for comprehensive analysis. This may include anomaly metric data, traceability analysis results, anomaly location information, and the like. Based on the method, the box abnormal operation control information based on time sequence monitoring data can be determined by combining a cold control analysis model. Such information may include a constant temperature controlled dimension, a cool air circulation dimension, a space temperature control uniformity dimension, etc., which represent key indicators of the proper operation of the cold chain transport case. When problems occur in these dimensions, such as temperature fluctuations exceeding a preset range, poor circulation of cool air, or uneven temperature control of space, etc., abnormal operation control information may be regarded.
Further, the method of the present application identifies abnormal operation control information of the box body, configures an abnormal maintenance scheme, wherein the abnormal maintenance scheme comprises an operation control self-adjusting scheme, and the method comprises:
determining a plurality of same-function component groups based on the component serial-parallel connection relation of the hardware configuration;
mapping and determining a target functional component group based on the same functional component group based on the abnormal operation and control information of the box body;
and positioning a fault component in the target functional component group, performing downtime isolation treatment on the fault component, and determining the operation control self-regulating scheme, wherein the fault component is based on self fault and system operation fault of a hardware component.
Specifically, based on the serial-parallel relationship of the components of the hardware configuration, a plurality of groups of the same functional components are determined: this section describes how the components are partitioned and organized according to the nature of the hardware configuration. Series-parallel relationships are commonly found in circuit and system designs, and may be used herein to describe the manner in which various components in a cold source circuit operate and the relationship to one another. By this analysis, components having the same function or characteristic can be grouped into one functional group, facilitating subsequent management and analysis. Based on the abnormal operation and control information of the box body, mapping and determining a target functional component group based on the same functional component group: this section describes how the component groups that need to be focused and processed are determined based on the operation control information of the casing. When an abnormality occurs in the operation of the box, it is possible to determine which functional member groups may be affected by the mapping. Positioning a fault component in the target functional component group, and performing downtime isolation treatment on the fault component: when the target functional component group is determined, it is necessary to locate the failure of the components within the group. This may involve monitoring and analyzing the status and performance of the various components to find problematic components. Once the faulty component is found, a corresponding process, such as downtime isolation, is required to prevent the fault from having a greater impact on the overall system. Determining a self-adjusting operation and control scheme: after handling the faulty component, a self-regulating scheme for operation control needs to be determined. This may involve adjusting parameters of other related components or systems to ensure proper operation of the entire cold source line. In this process, the identification and handling of the failed component is based on the hardware component's own failure and the system operation failure. For self failure of hardware components, replacement or repair may be required, and for system operation failure, system configuration adjustment or optimization of operation policies may be required.
Further, as shown in fig. 2, the method of the present application includes:
combining with an adjustment prediction model, evaluating the regulation and control effect based on the operation and control self-regulation scheme, and determining a self-regulation and control result;
judging whether the self-adjusting operation control result accords with the abnormal operation control information of the box body, and if not, generating an operation control maintenance instruction;
measuring a difference frequency part based on the self-regulating operation control result and the abnormal operation control information of the box body, and carrying out step-by-step regulation analysis based on the operation control maintenance instruction to determine the operation control maintenance scheme;
and generating the abnormal maintenance scheme based on the operation control self-regulation scheme and the operation control maintenance scheme.
Specifically, the control effect evaluation based on the operation control self-adjusting scheme is performed by combining with the adjustment prediction model: this section describes how predictive models are used to evaluate the effectiveness of a controlled self-tuning scheme. This may involve training a predictive model using historical data and then using the model to predict future regulatory effects. Determining a self-tuning operation control result: after the above evaluation, a final self-tuning operation control result may be determined based on the evaluation result. This may include analysis and optimization of the regulatory effect to determine the best regulatory result. Judging whether the self-adjusting operation control result is in accordance with abnormal operation control information of the box body or not: this section describes how the self-tuning control results are compared with the box anomaly control information. If the self-regulating operation and control result cannot meet the requirement of abnormal operation and control information of the box body, a corresponding operation and control regulating and repairing instruction may need to be generated. The measurement is based on the difference frequency part of the self-regulating operation control result and the abnormal operation control information of the box body: this section describes how to measure the difference between the self-regulating operation control result and the box anomaly operation control information. This involves analyzing the difference between the two to determine the portion that needs to be adjusted. Step adjustment analysis is carried out based on the operation and control maintenance instructions, and an operation and control maintenance scheme is determined: this section describes how a gradual adjustment analysis is performed according to the operation and control repair instructions to determine the final operation and control repair scheme. This involves monitoring and analyzing the status and performance of the individual components to find problematic components. Based on the operation control self-adjusting scheme and the operation control repairing scheme, generating an abnormal maintenance scheme: finally, according to the operation control self-adjusting scheme and the operation control repairing scheme, an abnormal maintenance scheme can be generated. This may include monitoring and analyzing the status and performance of the various components to find problematic components.
Example two
Based on the same inventive concept as the cold source line monitoring method of the cold chain transportation box of the foregoing embodiment, as shown in fig. 4, the present application provides a cold source line monitoring system of the cold chain transportation box, the system comprising:
the basic configuration information determining module 10 is used for determining basic configuration information of a cold source pipeline of the cold chain transportation box body, wherein the basic configuration information of the cold source pipeline comprises hardware configuration information and system configuration information;
the knowledge graph construction module 20 is used for constructing a knowledge graph of the cold source pipeline based on the basic configuration information of the cold source pipeline, wherein the knowledge graph of the cold source pipeline comprises a multi-level mapping layer;
the different-storage monitoring point identification module 30 is used for identifying a plurality of different-storage monitoring points based on the cold source pipeline knowledge graph, wherein each different-storage monitoring point is identified with at least one monitoring dimension;
the time sequence monitoring data determining module 40 is used for performing box body operation monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references to determine time sequence monitoring data by the time sequence monitoring data determining module 40;
The box abnormal operation and control information determining module 50 is configured to transmit the time-series monitoring data to a cold control analysis model, perform abnormal matching positioning and differential measurement tracing, and determine box abnormal operation and control information, where the cold control analysis model has a plurality of fully connected network layers configured corresponding to the multi-level mapping layer;
the abnormal maintenance scheme configuration module 60, wherein the abnormal maintenance scheme configuration module 60 is used for identifying abnormal operation control information of the box body and configuring an abnormal maintenance scheme, and the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme;
the abnormal operation adjustment and maintenance control module 70 is used for adjusting and controlling the cold chain transportation box body based on the abnormal operation of the cold source pipeline based on the abnormal maintenance scheme by the abnormal operation adjustment and maintenance control module 70.
Further, the system further comprises:
the hardware configuration module is used for configuring the variable-frequency cold control unit and the temperature and humidity recorder based on the evaporator, the condenser and the compressor;
the system configuration module is used for configuring the cold source pipeline distribution and the cold circulation;
and the basic configuration information interaction module is used for interacting the basic configuration information of the cold source pipeline based on the reference architecture information and the operation and maintenance control standard of the hardware configuration and the system configuration.
Further, the system further comprises:
the topology network construction module is used for constructing a topology network based on cold source pipelines based on the hardware configuration and the system configuration;
the map layer determining module is used for reading the basic configuration information of the cold source pipeline, carrying out mapping labeling on the topological network and determining a basic map layer;
the standard map construction module is used for reading standard operation and maintenance information based on the cold source pipeline, and carrying out relation extraction connection to construct a standard map layer;
the abnormal map layer construction module is used for reading the different operation and maintenance information based on the cold source pipeline, and carrying out relation extraction and connection construction on the abnormal map layer;
and the knowledge graph generation module is used for carrying out hierarchical mapping of the basic graph layer, the standard graph layer and the abnormal graph layer and correlating with graph nodes to generate the cold source pipeline knowledge graph.
Further, the system further comprises:
the map layer identification module is used for identifying differentiated dimension information based on the basic map layer, the standard map layer and the abnormal map layer;
the local processing information determining module is used for executing entity digestion and coreference digestion processing on the differentiated dimension information to determine local processing information;
And the cold source pipeline knowledge graph acquisition module is used for carrying out information compatible processing on the local processing information to acquire the cold source pipeline knowledge graph.
Further, the system further comprises:
the abnormal positioning layer building module is used for the cold control analysis model to be of a multi-layer fully-connected network structure and comprises an abnormal measurement layer built based on the standard map layer, a traceability analysis layer built based on the abnormal map layer and an abnormal positioning layer built based on the basic map layer, and a rear data integration unit;
the abnormal operation and control information determining module is used for determining abnormal operation and control information of the box body based on the time sequence monitoring data by combining the cold control analysis model, wherein the abnormal operation and control information of the box body comprises a constant temperature controlled dimension, a cold air circulation dimension and a space temperature control uniform dimension.
Further, the system further comprises:
the plurality of same-function component group determining modules are used for determining a plurality of same-function component groups based on the serial-parallel connection relation of the components configured by the hardware;
the target function construction group determining module is used for mapping and determining a target function component group based on the same function component group based on the abnormal operation and control information of the box body;
And the isolation processing module is used for positioning the fault component in the target functional component group, performing downtime isolation processing on the fault component, and determining the operation control self-regulating scheme, wherein the fault component is based on self fault of the hardware component and system operation fault.
Further, the system further comprises:
the self-adjusting operation control result determining module is used for combining the adjustment prediction model to evaluate the adjustment effect based on the operation control self-adjusting scheme and determining the self-adjusting operation control result;
the maintenance instruction generation module is used for judging whether the self-adjusting operation control result accords with the abnormal operation control information of the box body, and if not, generating an operation control maintenance instruction;
the operation and control maintenance scheme determining module is used for measuring a difference frequency part based on the self-adjustment operation and control result and the abnormal operation and control information of the box body, performing step adjustment analysis based on the operation and control maintenance instruction, and determining the operation and control maintenance scheme;
the abnormal maintenance scheme generating module is used for generating the abnormal maintenance scheme based on the operation control self-adjusting scheme and the operation control maintenance scheme.
The cold source pipeline monitoring system of the cold chain transportation box in this embodiment is clearly known to those skilled in the art through the foregoing detailed description of the cold source pipeline monitoring method of the cold chain transportation box, and for the system disclosed in the embodiment, the description is relatively simple because it corresponds to the embodiment disclosure device, and relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The cold source pipeline monitoring method of the box body for cold chain transportation is characterized by comprising the following steps of:
determining cold source pipeline basic configuration information of a cold chain transport box body, wherein the cold source pipeline basic configuration information comprises hardware configuration information and system configuration information;
constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline, wherein the cold source pipeline knowledge graph comprises a multi-stage mapping layer;
the constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline comprises the following steps:
constructing a topology network based on a cold source pipeline based on the hardware configuration and the system configuration;
Reading the basic configuration information of the cold source pipeline, carrying out mapping labeling of the topological network, and determining a basic map layer;
reading standard operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build a standard map layer;
reading the different operation and maintenance information based on the cold source pipeline, and performing relation extraction connection to build an abnormal map layer;
performing hierarchical mapping of the basic map layer, the standard map layer and the abnormal map layer and map node association to generate the cold source pipeline knowledge map;
identifying a plurality of different storage monitoring points based on the cold source pipeline knowledge graph, wherein each different storage monitoring point is marked with at least one monitoring dimension;
carrying out box body operation monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references, and determining time sequence monitoring data;
transmitting the time sequence monitoring data to a cold control analysis model, and carrying out anomaly matching positioning and differential measurement tracing to determine abnormal operation control information of the box body, wherein the cold control analysis model is provided with a plurality of fully-connected network layers which are configured corresponding to the multi-level mapping layers;
identifying abnormal operation control information of the box body, and configuring an abnormal maintenance scheme, wherein the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme;
And based on the abnormal maintenance scheme, the cold chain transportation box body is subjected to maintenance management and control based on abnormal operation of the cold source pipeline.
2. The method of claim 1, wherein determining cold source line base configuration information for a cold chain transport box comprises:
the hardware configuration comprises a variable-frequency cold control unit based on an evaporator, a condenser and a compressor and a temperature and humidity recorder;
the system configuration comprises cold source pipeline distribution and cold circulation configuration;
and the interaction is based on the basic architecture information and operation and maintenance control standard of the hardware configuration and the system configuration, and the basic architecture information and the operation and maintenance control standard are used as the basic configuration information of the cold source pipeline.
3. The method of claim 1, wherein generating the cold source piping knowledge graph comprises:
identifying differential dimension information based on the base map layer, the standard map layer, and the abnormal map layer;
performing entity digestion and coreference digestion processing on the differentiated dimension information, and determining local processing information;
and carrying out information compatible processing on the local processing information to acquire the cold source pipeline knowledge graph.
4. The method of claim 1, wherein the time series monitoring data is transmitted to a cold control analysis model for anomaly matching location and differential metric tracing, the method comprising:
The cold control analysis model is of a multi-layer fully-connected network structure and comprises an abnormal measurement layer built based on the standard map layer, a traceability analysis layer built based on the abnormal map layer and an abnormal positioning layer built based on the basic map layer, and a rear data integration unit;
and determining abnormal box operation control information based on the time sequence monitoring data by combining the cold control analysis model, wherein the abnormal box operation control information comprises a constant temperature controlled dimension, a cold air circulation dimension and a space temperature control uniform dimension.
5. The method of claim 1, wherein identifying the tank anomaly handling information configures an anomaly maintenance scheme, the anomaly maintenance scheme comprising a handling self-tuning scheme, the method comprising:
determining a plurality of same-function component groups based on the component serial-parallel connection relation of the hardware configuration;
mapping and determining a target functional component group based on the same functional component group based on the abnormal operation and control information of the box body;
and positioning a fault component in the target functional component group, performing downtime isolation treatment on the fault component, and determining the operation control self-regulating scheme, wherein the fault component is based on self fault and system operation fault of a hardware component.
6. The method of claim 5, wherein the method comprises:
combining with an adjustment prediction model, evaluating the regulation and control effect based on the operation and control self-regulation scheme, and determining a self-regulation and control result;
judging whether the self-adjusting operation control result accords with the abnormal operation control information of the box body, and if not, generating an operation control maintenance instruction;
measuring a difference frequency part based on the self-regulating operation control result and the abnormal operation control information of the box body, and carrying out step-by-step regulation analysis based on the operation control maintenance instruction to determine the operation control maintenance scheme;
and generating the abnormal maintenance scheme based on the operation control self-regulation scheme and the operation control maintenance scheme.
7. Cold source pipeline monitoring system of box for cold chain transportation, its characterized in that, the system includes:
the basic configuration information determining module is used for determining basic configuration information of a cold source pipeline of the cold chain transportation box body, and the basic configuration information of the cold source pipeline comprises hardware configuration information and system configuration information;
the knowledge graph construction module is used for constructing a cold source pipeline knowledge graph based on the basic configuration information of the cold source pipeline, wherein the cold source pipeline knowledge graph comprises a multi-level mapping layer;
Wherein, the knowledge graph construction module further comprises:
the topology network construction module is used for constructing a topology network based on cold source pipelines based on the hardware configuration and the system configuration;
the map layer determining module is used for reading the basic configuration information of the cold source pipeline, carrying out mapping labeling on the topological network and determining a basic map layer;
the standard map construction module is used for reading standard operation and maintenance information based on the cold source pipeline, and carrying out relation extraction connection to construct a standard map layer;
the abnormal map layer construction module is used for reading the different operation and maintenance information based on the cold source pipeline, and carrying out relation extraction and connection construction on the abnormal map layer;
the knowledge graph generation module is used for performing hierarchical mapping of the basic graph layer, the standard graph layer and the abnormal graph layer and correlating the hierarchical mapping with graph nodes to generate the cold source pipeline knowledge graph;
the different-storage monitoring point identification module is used for identifying a plurality of different-storage monitoring points based on the cold source pipeline knowledge graph, wherein each different-storage monitoring point is marked with at least one monitoring dimension;
the time sequence monitoring data determining module is used for carrying out box body operation monitoring in the cold chain transportation process by taking the plurality of different storage monitoring points as references to determine time sequence monitoring data;
The box body abnormal operation control information determining module is used for transmitting the time sequence monitoring data to a cold control analysis model, carrying out abnormal matching positioning and differential measurement tracing, and determining box body abnormal operation control information, wherein the cold control analysis model is provided with a plurality of fully-connected network layers which are configured corresponding to the multi-level mapping layers;
the abnormal maintenance scheme configuration module is used for identifying abnormal operation control information of the box body and configuring an abnormal maintenance scheme, and the abnormal maintenance scheme comprises an operation control self-regulation scheme and an operation control maintenance scheme;
the abnormal operation control and regulation module is used for controlling the abnormal operation of the cold chain transportation box body based on the abnormal maintenance scheme.
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