CN110620714A - Automatic modeling intelligent connecting piece system applied to small space and complex environment - Google Patents
Automatic modeling intelligent connecting piece system applied to small space and complex environment Download PDFInfo
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- CN110620714A CN110620714A CN201910864785.XA CN201910864785A CN110620714A CN 110620714 A CN110620714 A CN 110620714A CN 201910864785 A CN201910864785 A CN 201910864785A CN 110620714 A CN110620714 A CN 110620714A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
- H04L12/40006—Architecture of a communication node
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/66—Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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Abstract
The invention discloses an automatic modeling intelligent connecting piece system applied to small space and complex environment. The traditional temperature monitoring system cannot effectively monitor a region with large local heating value in a small space. The data acquisition module acquires temperature data of the connecting piece temperature measurement module through polling and transmits the temperature data to the data cleaning module; the fault detection is completed through a reconfigurable fault detection algorithm of the data acquisition module; determining a data transmission missing value range by a data cleaning algorithm of the data cleaning module according to the time stamp, calling the previous data in the database module to deduce a data filling value, and completing the data transmission missing value range; the data processed by the data cleaning module is stored in the database module; the WeChat data monitoring module realizes the temperature query of the temperature measuring modules of the connecting pieces and carries out temperature threshold setting and fault detection mode selection. The invention solves the problem of measuring in a wide temperature range in a small-space and large-current environment, and improves the safety of intelligent power consumption equipment.
Description
Technical Field
The invention relates to the field of temperature measurement and remote monitoring, in particular to a novel intelligent connector system which is applied to severe environment and has the functions of temperature measurement, remote monitoring and automatic modeling of temperature abnormity.
Background
With the deepening of energy conservation and emission reduction, under the guidance of developing a low-carbon economic concept, a large number of intelligent electric equipment represented by new energy automobiles begin to emerge. Because the existence of the power battery pack of the intelligent electric equipment is particularly sensitive to the temperature of the equipment, in order to ensure the safe operation of the intelligent electric equipment, the traditional temperature monitoring equipment is generally embedded when the intelligent electric equipment is produced, but the traditional temperature monitoring system cannot effectively monitor the small-space area with large local heat productivity such as a device joint. In addition, the intelligent electric equipment has numerous connecting pieces and dispersed deployment positions, and how to realize distributed temperature data acquisition, equipment management, data cleaning and storage becomes the key point of attention in the related industrial fields. In order to meet the requirement of intelligent electric equipment on temperature acquisition control in small space and severe environment, an intelligent connecting piece system applied to small space and complex environment needs to be researched and developed urgently to fill the market blank of a temperature measurement system in small space and complex environment and partially replace the traditional preset temperature acquisition system.
Disclosure of Invention
The invention aims to provide a novel intelligent connecting piece system applied to small space and complex environment, which can be applied to more severe environment, such as high-risk scenes of high-voltage and high-current connectors, high-voltage control boxes, electrical control boxes, storage battery boxes and the like, and can realize accurate measurement of temperature.
The technical scheme adopted by the invention is as follows:
the invention relates to an automatic modeling intelligent connecting piece system applied to small space and complex environment, which comprises a connecting piece temperature measuring module, a node configuration module, a transfer module, a data acquisition module, a data cleaning module and a WeChat data monitoring module. The connecting piece temperature measuring modules are n, wherein n is more than 0; when n is 1, the connecting piece temperature measuring module is directly connected with the data acquisition module; when n is more than or equal to 2 and less than or equal to 6, all the connecting piece temperature measuring modules share one transfer module; and when n is more than 6, each six connecting piece temperature measuring modules are grouped to share one transfer module, and if less than six connecting piece temperature measuring modules are remained, the six connecting piece temperature measuring modules are grouped to share one transfer module.
The connecting piece temperature measurement module is a temperature acquisition unit of the intelligent connecting piece system, and temperature acquisition and data fitting are achieved. The connecting piece temperature measuring module is directly connected with the data acquisition module or connected with the data acquisition module through the transfer module, and reports the obtained final measured temperature of the measured point to the data acquisition module.
The node configuration module is an off-line parameter configuration tool of the intelligent connecting piece system, CAN be connected with a certain connecting piece temperature measurement module through a CAN bus at any time, and reads or configures parameters of the connecting piece temperature measurement module, so that dynamic configuration of communication parameters of the connecting piece temperature measurement module is realized, and flexibility of the system is ensured.
The transfer module is a hardware connection extension unit of the data acquisition module, is connected with the data acquisition module and the connecting piece temperature measurement module, expands a CAN interface of the data acquisition module into a plurality of interfaces on hardware, and each transfer module is independently powered, so that a tree structure of a CAN bus is realized, and the flexibility and the stability of the system are improved from the hardware interface.
The data acquisition module is a network communication gateway and an edge side data processing node and is positioned at the boundary of a physical layer and a network layer. And facing to the physical layer, the data acquisition module is used as a central node, and acquires the temperature data of the bottom node (the connecting piece temperature measurement module) in a polling mode. And facing to a network layer, the data acquisition module is used as an edge processing node and provides data preprocessing at an edge side, including basic functions of data compression, queue transceiving (sending parallelly uploaded data one by one) and the like and advanced functions of fault detection and the like. And the data acquisition module transmits the data read by the physical layer to the data cleaning module of the network layer for further processing. The fault detection is completed by a reconfigurable fault detection algorithm built in the data acquisition module; a user carries out node operation situation analysis through a fault detection setting interface of the WeChat data monitoring module, and then carries out temperature threshold setting and fault detection mode selection; the failure detection mode is the setting of a responsive action made on temperature data exceeding a threshold limit; the temperature threshold value and the fault detection mode of the WeChat data monitoring module are input into a reconfigurable fault detection algorithm, and the reconfigurable fault detection algorithm executes a set response action aiming at the connecting piece temperature measurement module after detecting that the temperature data measured by the connecting piece temperature measurement module exceeds the threshold limit. The reconfigurable fault detection algorithm is deployed on the edge side, so that quick response and processing of the fault can be realized, and the fault detection is performed in an application replacement mode, so that the flexibility and the accuracy of the fault detection are ensured.
The data cleaning module is a basic module of the cloud platform, and accuracy and integrity of original temperature data are improved. Because each device of the physical layer is subjected to more interference, the data loss condition may occur due to various reasons, the data cleaning algorithm of the data cleaning module determines the data transmission loss value range of the physical layer according to the timestamp, and calls the historical experience of the past service data in the database module to guess the data filling value, so as to complete the data transmission loss value range of the physical layer. And storing the data processed by the data cleaning module into a database module.
The WeChat data monitoring module realizes temperature query of the temperature measuring modules of the connecting pieces by reading data in the database module, performs temperature threshold value setting and fault detection mode selection, provides a flexible and convenient data operation interface for customers, and is a main data display mode.
Furthermore, the connecting piece temperature measuring module adopts an AVR single chip microcomputer as a main control chip, MAX31865 is used as an analog-to-digital converter to collect resistance value data of the four PT100 temperature sensors, and digital voltage read by the analog-to-digital converter is transmitted to the main control chip; the main control chip converts the digital voltage quantity into space temperature data through a temperature field model, then fuses each temperature data through a bilinear difference method to calculate the temperature of the measured point, filters the temperature of the measured point at each acquisition moment in a preset time period by using a rapid time series linear fitting algorithm to calculate the final measured temperature of the measured point, and finally outputs the temperature through the CAN.
Furthermore, the node configuration module adopts STM32F03C8T6 as a main control chip, the main control chip is connected with a CAN level conversion chip, the CAN level conversion chip is connected with the connecting piece temperature measurement module through a CAN bus, and channel configuration, temperature compensation value change and communication time slot change of the connecting piece temperature measurement module are realized through a preset protocol.
Further, the transfer module completes power voltage reduction, and realizes power conversion from 24V to 5V and communication port expansion.
Furthermore, the data acquisition module adopts an ARM processor as a core, a Linux system is used as an onboard system, the ARM processor is connected with the transfer module through an onboard CAN interface chip so as to establish communication with the connecting piece temperature measurement module, and the data acquisition module is onboard with a 4G communication module to ensure data uploading and network bandwidth issued by the cloud platform model. In addition, the data acquisition module integrates a plurality of communication ports, and the possibility is provided for future system expansion and application.
Further, the response action is used for giving an alarm to a user or starting the temperature control equipment through a short message.
Further, the device also comprises a temperature field construction module; a user presets the position of a measured point and a medium for temperature transmission through a temperature field construction module; the temperature field construction module calls a scaling coefficient lambda 'and a linear deviation b' from the database module according to a medium transmitted by temperature to obtain values and establish a temperature field diffusion model; the temperature field construction module inputs the final measured temperature of the measured point obtained by a certain connecting piece temperature measurement module transmitted by the data cleaning module into the temperature field diffusion model, so that the data of the temperature of each measured point changing along with the measured position is obtained according to the final measured temperature of the measured point, and the data is stored into the database module, so that the WeChat data monitoring module can subsequently call the change trend of the temperature to visually display.
The invention has the following beneficial effects:
according to the invention, the temperature measurement network is built based on the CAN bus, and temperature measurement nodes in the temperature measurement network CAN be freely added and separated, so that the flexibility of the network is greatly enhanced. The bottom layer module has a hot deployment capability, parameters can be configured as required through the node configuration module, and the network node deployment efficiency is greatly improved. The reconfigurable fault detection algorithm is embedded in the data acquisition module, and can be deployed on the edge side to realize quick response and processing of faults and be performed in an application replacement mode, so that the flexibility of fault detection and the accuracy of data are ensured. The data of each acquisition point measured in the system can be combined with a temperature field theory to construct a temperature field model, so that the overall temperature change trend analysis is provided for a user. The data of the whole system is uploaded to the cloud platform through the gateway, and the cloud platform has the capability of real-time data checking and statistical analysis. And the fault detection is sunk to the gateway node, so that the real-time performance of the fault detection is improved, and the system safety is ensured in response timeliness. The problem of wide temperature range measurement under little space, heavy current environment is solved, intelligent power consumptive equipment's security has been improved.
Drawings
FIG. 1 is a system block diagram of the present invention.
FIG. 2 is a flow chart of the system of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
With reference to fig. 1, the intelligent connector system for automatic modeling applied in small space and complex environment includes a connector temperature measuring module, a node configuration module, a transfer module, a data acquisition module, a data cleaning module and a wechat data monitoring module. The connecting piece temperature measuring module is a temperature acquisition unit of the intelligent connecting piece system, and temperature acquisition and data fitting are achieved. The node configuration module adopts STM32F03C8T6 as a main control chip, is an intelligent connecting piece offline parameter configuration tool, the main control chip is connected with a CAN level conversion chip, the CAN level conversion chip is connected with a connecting piece temperature measurement module through a CAN bus, and channel configuration, temperature compensation value change, communication time slot change and the like of the connecting piece temperature measurement module are realized through a preset protocol. The connecting piece temperature measuring module adopts an AVR single chip microcomputer as a main control chip, MAX31865 is used as an analog-to-digital converter to collect resistance value data of the four PT100 temperature sensors, and digital voltage read by the analog-to-digital converter is transmitted to the main control chip; the main control chip converts the digital voltage quantity into space temperature data through a temperature field model, then fuses each temperature data through a bilinear difference method to calculate the temperature of the measured point, filters the temperature of the measured point at each acquisition moment in a preset time period by using a rapid time series linear fitting algorithm to calculate the final measured temperature of the measured point, and finally outputs the temperature through the CAN. The transfer module is an intelligent connector system hardware connection expansion module, is connected with the data acquisition module and the connecting piece temperature measurement module, and is independently powered, so that a communication bus interface and a power supply interface are expanded, a tree-shaped interface of a bus is realized, and the flexibility of the system is improved on the aspect of hardware interfaces; the connecting piece temperature measuring module is powered by the voltage converted by the transfer module. The data acquisition module adopts an ARM processor as a core, a Linux system is used as an onboard system, the ARM processor is connected with the transfer module through an onboard CAN interface chip, and therefore communication is established with the connecting piece temperature measurement module, and the data acquisition module is onboard with a 4G communication module to ensure data uploading and network bandwidth issued by the cloud platform model. The data acquisition module is used as a communication gateway and an edge data processing node and is positioned at the boundary of a physical layer and a network layer. And facing to the physical layer, the data acquisition module is a central node of the physical layer of the data acquisition system, and acquires temperature data of a bottom layer node in a master-slave polling mode. And facing the network layer, the data acquisition module is used as an edge processing node in the network layer to provide the temperature data preprocessing capability of the edge layer, and comprises basic functions of data compression, queue transmission and the like and advanced functions of fault detection and the like. The fault detection is completed by a reconfigurable fault detection algorithm built in the data acquisition module; a user carries out node operation situation analysis through a fault detection setting interface of the WeChat data monitoring module, and then carries out temperature threshold setting and fault detection mode selection; the failure detection mode is the setting of a responsive action made on temperature data exceeding a threshold limit; the temperature threshold value and the fault detection mode of the WeChat data monitoring module are input into a reconfigurable fault detection algorithm, and the reconfigurable fault detection algorithm executes a set response action aiming at the connecting piece temperature measurement module after detecting that the temperature data measured by the connecting piece temperature measurement module exceeds the threshold limit. The reconfigurable fault detection algorithm is deployed on the edge side, so that quick response and processing of the fault can be realized, and the fault detection is performed in an application replacement mode, so that the flexibility and the accuracy of the fault detection are ensured. After data are uploaded to a network layer, the data cleaning module is used as a basic module of a cloud platform to solve the problem of temperature data integrity of original temperature data, a bottom-layer temperature sensor can generate data loss due to various reasons, the cloud platform determines the range of a loss value according to a timestamp, and historical experience of past service data in a database module is called to complete the data. And storing the data processed by the data cleaning module into a database module. The WeChat data monitoring terminal realizes temperature query of the temperature measuring modules of the connecting pieces by calling corresponding data interfaces of the cloud platform, and performs temperature threshold setting and fault detection mode selection.
The temperature field model in the connector temperature measurement module is as follows:
in the formula, L is the space distance between a PT100 temperature sensor placing point and a measured point, lambda is a proportionality coefficient, b is linear deviation, U is a digital voltage quantity obtained by an analog-to-digital converter, and T' is the temperature calculated through a temperature field model.
The bilinear interpolation algorithm is characterized in that four acquisition points are arranged on the periphery of a measurement point in the temperature measurement process, the temperatures of the four acquisition points are measured simultaneously, and analysis is carried out simultaneously, so that the accurate temperature can be obtained to the maximum extent. The method requires the greatest degree ofThe distance between the acquisition point and the measured point, the environment and the like are constant. For example, around the measured point (0,0), 4 acquisition points (-x) are placed0,-y0)、(-x0,y0)、(x0,-y0) And (x)0,y0) Acquisition Point (-x)0,-y0)、(-x0,y0)、(x0,-y0) And (x)0,y0) PT100 temperature sensor obtains predicted measured point temperatures T 'through respective temperature field models'1、T’2、T’3And T'4Then obtaining a point (-x) by bilinear interpolation0Temperature at 0)Point (x)0Temperature at 0)Then further calculation to obtain the temperature at point (0,0)
The invention also comprises a temperature field construction module; a user presets the position of a measured point and a medium for temperature transmission through a temperature field construction module; the temperature field construction module calls a scaling coefficient lambda 'and a linear deviation b' from the database module according to a medium transmitted by temperature to obtain values and establish a temperature field diffusion model; the temperature field construction module inputs the final measured temperature of the measured point obtained by a certain connecting piece temperature measurement module transmitted by the data cleaning module into the temperature field diffusion model, so that the data of the temperature of each measured point changing along with the measured position is obtained according to the final measured temperature of the measured point, and the data is stored into the database module, so that the WeChat data monitoring module can subsequently call the change trend of the temperature to visually display.
The temperature field diffusion model constructed by the temperature field construction module is as follows:
in the formula, l is the distance between the calculated diffusion point (measuring point) and the measured point, λ 'is a proportionality coefficient, b' is a linear deviation, a user sets the proportionality coefficient and the linear deviation by self in combination with a temperature transmission medium in an environment, and the temperature T at the point l away from the temperature T can be calculated for the temperature T obtained by each measurement, so that the whole temperature change trend data can be constructed.
The data cleaning module, the temperature field construction module, the database module and the WeChat data monitoring module form a cloud platform.
With reference to fig. 2, the working process of the present invention is as follows: the node configuration module configures working parameters of the connecting piece temperature measurement module, wherein the working parameters comprise network channel configuration, temperature compensation parameter configuration, preset protocol configuration and data service level configuration. After configuration is completed, the system enters a working state, a bottom layer sensing network (formed by all connecting piece temperature measuring modules) carries out self-checking before working, the self-checking is carried out by a method of broadcasting detection to each connecting piece temperature measuring module through a data acquisition module, and if the detection is abnormal, error information is directly uploaded to a cloud platform; and if the detection is normal, the bottom sensor network enters a normal working state. After the cloud platform issues the working parameters, the data acquisition module analyzes the instruction and starts to acquire data, acquires temperature data according to the frequency required by the instruction, and performs preprocessing and fault detection on the temperature data. And uploading the data preprocessing result and the fault detection result to the cloud platform. And the cloud platform calls the data cleaning module and the temperature field building module in real time to perform basic processing and modeling on the data and then updates the data into the database module. The user can call the content in the database module in real time through the WeChat data monitoring terminal for display and output.
In the parameter configuration process of the intelligent connector, the node configuration module is required to be used for carrying out one-by-one parameter configuration on the connecting piece temperature measurement module through the CAN bus.
And the data acquisition module in the bottom layer sensing network sends the broadcast instruction to all the connecting piece temperature measurement modules, all the connecting piece temperature measurement modules feed back response data after receiving the broadcast information, and the data acquisition module verifies whether the verification data is correct after receiving the response. If all the detection passes, all the equipment of the bottom layer sensing network enters a normal working state; and if the data acquisition module monitors that the temperature measurement module of a certain connecting piece is overtime or the feedback content is lost, the data acquisition module uploads error information to the cloud platform.
And the cloud platform sends a working parameter instruction to the bottom layer sensor network according to the detection information, and the data acquisition module in the working state receives and analyzes the working parameter instruction in real time to acquire information such as acquisition frequency, fault detection application and the like contained in the working parameter instruction. And the data acquisition module polls the drive connecting piece temperature measurement module to measure the temperature after receiving and analyzing successfully.
And the data acquisition module receives the data uploaded by the connecting piece temperature measurement module and then inserts the data into a message queue, and data compression and packaging work is sequentially carried out on the data in the queue. And then uploading the processed data to a cloud platform. And meanwhile, a reconfigurable fault detection algorithm is used for detecting data, and if the temperature measurement data exceeds a threshold value, the temperature data of a measurement point is lost and the like, error information is immediately uploaded to the cloud platform.
After the cloud platform receives the data, the data cleaning module and the temperature field model building module are synchronously called in real time.
The real-time data cleaning module realizes the cleaning function of the bottom sensor network data and supplements the lost data with the historical data. And after the cleaning is finished, updating the data into the database module.
And the temperature field model building module is used for building a temperature field diffusion model, and updating the data into the database module after the model is built successfully.
When the WeChat data monitoring terminal initiates a data display request, data are directly read from the database module, and a drawing chart is displayed through the front end, so that visual display is performed.
Claims (7)
1. Be applied to automatic modeling intelligence connecting piece system under little space and the complex environment, including connecting piece temperature measurement module, transfer module, data acquisition module and little letter data monitoring module, its characterized in that: the system also comprises a node configuration module and a data cleaning module; the connecting piece temperature measuring modules are n, wherein n is more than 0; when n is 1, the connecting piece temperature measuring module is directly connected with the data acquisition module; when n is more than or equal to 2 and less than or equal to 6, all the connecting piece temperature measuring modules share one transfer module; when n is more than 6, each six connecting piece temperature measuring modules are grouped to share one transfer module, and if less than six connecting piece temperature measuring modules are remained, the six connecting piece temperature measuring modules are grouped to share one transfer module;
the connecting piece temperature measuring module realizes temperature acquisition and data fitting; the connecting piece temperature measuring module reports the obtained final measured temperature of the measured point to the data acquisition module;
the node configuration module is connected with one connecting piece temperature measurement module through a CAN bus and reads or configures parameters of the connecting piece temperature measurement module;
the transfer module is connected with the data acquisition module and the connecting piece temperature measurement module, a CAN interface of the data acquisition module is expanded into a plurality of interfaces, and each transfer module supplies power independently;
the data acquisition module is positioned at the boundary of the physical layer and the network layer; facing to a physical layer, the data acquisition module is used as a central node, and temperature data of the connecting piece temperature measurement module is acquired in a polling mode; facing to a network layer, the data acquisition module is used as an edge processing node and provides data preprocessing of an edge side, including data compression, queue receiving and sending and fault detection; the data acquisition module transmits the data read by the physical layer to a data cleaning module of the network layer for further processing; the fault detection is completed by a reconfigurable fault detection algorithm built in the data acquisition module; a user carries out node operation situation analysis through a fault detection setting interface of the WeChat data monitoring module, and then carries out temperature threshold setting and fault detection mode selection; the failure detection mode is the setting of a responsive action made on temperature data exceeding a threshold limit; the temperature threshold value and the fault detection mode of the WeChat data monitoring module are input into a reconfigurable fault detection algorithm, and the reconfigurable fault detection algorithm executes a set response action aiming at a connecting piece temperature measurement module after detecting that the temperature data measured by the connecting piece temperature measurement module exceeds the threshold limit;
determining the data transmission missing value range of the physical layer by a data cleaning algorithm of the data cleaning module according to the timestamp, calling historical experience of the past service data in the database module to guess a data filling value, and completing the data transmission missing value range of the physical layer; the data processed by the data cleaning module is stored in the database module;
the WeChat data monitoring module is used for reading data in the database module to realize temperature query of the temperature measuring modules of the connecting pieces and carrying out temperature threshold setting and fault detection mode selection.
2. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the connecting piece temperature measuring module adopts an AVR single chip microcomputer as a main control chip, an MAX31865 chip is used as an analog-to-digital converter to collect resistance value data of four PT100 temperature sensors, and digital voltage read by the analog-to-digital converter is transmitted to the main control chip; the main control chip converts the digital voltage quantity into space temperature data through a temperature field model, then fuses each temperature data through a bilinear difference method to calculate the temperature of the measured point, filters the temperature of the measured point at each acquisition moment in a preset time period by using a rapid time series linear fitting algorithm to calculate the final measured temperature of the measured point, and finally outputs the temperature through the CAN.
3. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the node configuration module adopts STM32F03C8T6 as a main control chip, the main control chip is connected with a CAN level conversion chip, the CAN level conversion chip is connected with the connecting piece temperature measurement module through a CAN bus, and channel configuration, temperature compensation value change and communication time slot change of the connecting piece temperature measurement module are realized through a preset protocol.
4. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the transfer module completes power voltage reduction, and realizes power conversion from 24V to 5V and communication port expansion.
5. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the data acquisition module adopts an ARM processor as a core, a Linux system is used as an onboard system, and the ARM processor is connected with the transfer module through an onboard CAN interface chip so as to establish communication with the connecting piece temperature measurement module; the on-board CAN interface chip integrates multiple communication ports.
6. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the response action is used for giving an alarm to a user through a short message or starting the temperature control equipment.
7. The intelligent connector system applied to automatic modeling in small space and complex environment according to claim 1, wherein: the device also comprises a temperature field construction module; a user presets the position of a measured point and a medium for temperature transmission through a temperature field construction module; the temperature field construction module calls the value of a proportionality coefficient lambda 'and a linear deviation b' of the temperature field diffusion model from the database module according to a medium transmitted by temperature, so that the temperature field diffusion model is established; the temperature field construction module inputs the finally measured temperature of the measured point obtained by a certain connecting piece temperature measurement module transmitted by the data cleaning module into the temperature field diffusion model, so that the data of the temperature of each measured point changing along with the measured position is obtained according to the finally measured temperature of the measured point, and the data is stored into the database module, so that the WeChat data monitoring module can subsequently call the change trend of the temperature to display.
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| CN111538615A (en) * | 2020-04-30 | 2020-08-14 | 贵州电网有限责任公司 | Automatic construction method for preset weak coupling fault report |
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