A smart factory construction equipment instrument intelligent monitoring analysis early warning system

Abstract

The present invention discloses an intelligent monitoring, analysis and early warning system for equipment and instruments in a smart factory, including a factory monitoring area division module, an intelligent equipment layout module, a pipeline external environment analysis module, a pipeline internal state monitoring module, a pipeline pressure monitoring and analysis module, a pipeline instrument control and analysis module and a data storage module. The present invention collects external environmental parameters and internal state parameters of factory pipelines respectively through intelligent equipment and automatic collection equipment, which makes up for the shortcomings of the current singleness and one-sidedness of equipment and instrument monitoring in smart factories, greatly improves the scientificity and reliability of monitoring data, provides accurate and intuitive data support for subsequent accuracy analysis of equipment and instruments, greatly improves the representativeness of monitoring results, and also guarantees the stability and safety of instrument control area operation to a certain extent.

Description

Technical Field

[0001] The present invention relates to the technical field of factory equipment monitoring, analysis and early warning, and in particular to an intelligent monitoring, analysis and early warning system for equipment instruments in a smart factory. Background Art

[0002] Smart factories are a new era product of the informatization of modern factories and an inevitable product of the industrial Internet era. The accuracy and reliability of equipment and instruments in smart factories are of paramount importance, so it is necessary to conduct intelligent monitoring, analysis and early warning of equipment and instruments in smart factories.

[0003] At present, the monitoring, analysis and early warning of equipment and instruments in smart factories are still at the superficial stage, without multi-dimensional monitoring, analysis and early warning, which is specifically reflected in the following aspects:

[0004] 1. Currently, when smart factories monitor equipment instruments, they usually monitor them in a single dimension. For example, they simply monitor the accuracy of the instrument without monitoring and analyzing the operation process of the instrument. This cannot improve the accuracy and reliability of the subsequent operation and regulation of the instrument, nor can it ensure the stability and safety of the operation of the instrument control area.

[0005] 2. Currently, when smart factories analyze equipment and instruments, they usually analyze them from a single perspective, ignoring the impact of the factory's external environment and the internal pipeline environment on the analysis results. This results in insufficient reference and rationality of the equipment and instrument analysis results, and is unable to provide rigorous data support for instrument regulation, which directly reduces the representativeness and effectiveness of equipment and instrument analysis of smart factory operating effects.

[0006] 3. At present, when smart factories adjust and control equipment instruments, they ignore the analysis of the instrument range. When the control demand exceeds the instrument's control range, there is no timely warning, which increases the probability of dangerous accidents. At the same time, it is impossible to notify relevant personnel in time to take corresponding compensatory measures, and it is also impossible to guarantee the timeliness and effectiveness of the instrument's use. Summary of the invention

[0007] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides an intelligent monitoring, analysis and early warning system for equipment instruments in a smart factory construction, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] A smart factory construction equipment instrument intelligent monitoring, analysis and early warning system, including:

[0010] The factory monitoring area division module is used to divide the factory outdoor monitoring area according to the division method of pipeline layout, obtain each pipeline to be monitored, and number each pipeline to be monitored as 1, 2, ..., i, ..., n in a preset order;

[0011] Smart device deployment module, used to deploy smart devices and automatic data collection devices inside and outside each pipeline to be monitored;

[0012] The pipeline external environment analysis module is used to collect the external environment parameters of each pipeline to be monitored through automatic collection equipment, and thereby analyze and obtain the external environment matching index corresponding to each pipeline to be monitored;

[0013] The pipeline internal state monitoring module is used to monitor the internal state of each pipeline to be monitored through an intelligent device, thereby obtaining a set of internal state parameters corresponding to each pipeline to be monitored;

[0014] The pipeline pressure monitoring and analysis module is used to monitor the apparent quality and internal quality of each pipeline to be monitored through automatic acquisition equipment and intelligent equipment, thereby analyzing and obtaining the pipeline pressure coefficient corresponding to each pipeline to be monitored, wherein the pipeline pressure monitoring and analysis module includes an apparent and internal quality analysis unit and a pipeline pressure coefficient analysis unit;

[0015] The pipeline instrument control analysis module is used to compare the external temperature and internal temperature corresponding to each pipeline to be monitored with the preset pipeline reference external temperature and pipeline reference internal temperature, respectively, to obtain the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored, and to determine whether each pipeline to be monitored needs to be regulated. At the same time, the pipeline to be monitored that needs to be regulated is recorded as a regulated pipeline, and then the control method and control value of the pipeline temperature control instrument corresponding to each regulated pipeline are confirmed;

[0016] The data storage module is used to store the service life corresponding to each pipeline to be monitored, store the allowable wear area and allowable service life corresponding to the pipeline to be monitored, and store the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored.

[0017] As a further improvement of the present invention, the intelligent device includes an intelligent camera, a temperature sensor, a pressure sensor and an automatic temperature control device, and the automatic data acquisition device includes a light intensity sensor, a temperature sensor, a rainfall sensor and a high-definition camera, wherein the automatic temperature control device corresponds to the pipeline temperature control instrument, that is, one pipeline temperature control instrument corresponds to one automatic temperature control device.

[0018] As a further improvement of the present invention, the analysis obtains the external environment matching index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows:

[0019] The temperature sensor in the automatic data acquisition device collects the external temperature of each pipeline to be monitored, the light intensity sensor in the automatic data acquisition device collects the external light intensity of each monitoring pipeline, and the rainfall sensor in the automatic data acquisition device collects the external rainfall of each monitoring pipeline;

[0020] According to the formula Calculate the external environment matching index corresponding to each pipeline to be monitored, η i It is represented by the external environment matching index corresponding to the i-th pipeline to be monitored, i represents the number of the pipeline to be monitored, i=1,2,......,n,wd i , gz i 、jy i They respectively represent the external temperature, external light intensity, and external rainfall corresponding to the i-th pipeline to be monitored, wd′, gz′, and jy′ respectively represent the reference external temperature, reference external light intensity, and reference external rainfall of the preset pipeline, and a1, a2, and a3 respectively represent the compensation factors corresponding to the preset pipeline external temperature, external light intensity, and external rainfall.

[0021] As a further improvement of the present invention, the specific process of obtaining the internal state parameter set corresponding to each pipeline to be monitored is as follows:

[0022] The internal pressure value of each pipeline to be monitored is collected through the pressure sensor in the smart device, the internal temperature of each pipeline to be monitored is collected through the temperature sensor in the smart device, and the image of the interior of each pipeline to be monitored is collected through the smart camera in the smart device;

[0023] Based on the internal pressure value, internal temperature and internal image of each pipeline to be monitored, a set of internal state parameters of each pipeline to be monitored is constructed.

[0024] As a further improvement of the present invention, the apparent and internal quality analysis unit is used to analyze the apparent quality index and the internal quality index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows:

[0025] The high-definition camera in the automatic acquisition device is used to collect images of each pipeline to be monitored, and the number of wear points on the outside of each pipeline to be monitored is counted, and the wear area corresponding to each wear point on the outside of each pipeline to be monitored is obtained;

[0026] Extract the corresponding service life of each pipeline to be monitored from the data storage module according to the formula Calculate the apparent quality index corresponding to each pipeline to be monitored, φ i It is expressed as the apparent quality index corresponding to the i-th pipeline to be monitored, It is represented by the wear area corresponding to the jth wear point on the outside of the i-th pipeline to be monitored, e is represented by a natural constant, j is represented by the number of the wear point, j = 1, 2, ..., t, x i It represents the service life corresponding to the i-th pipeline to be monitored, m′ and x′ represent the allowable wear area and allowable service life corresponding to the pipeline to be monitored stored in the data storage module, respectively, and b1 and b2 represent the weight factors corresponding to the preset wear area and service life, respectively;

[0027] Counting the number of scratches inside each pipeline to be monitored from the internal image of each pipeline to be monitored, and obtaining the scratch length and scratch area corresponding to each scratch inside each pipeline to be monitored;

[0028] According to the formula Calculate the internal quality index corresponding to each pipeline to be monitored. It is expressed as the internal quality index corresponding to the i-th pipeline to be monitored, They respectively represent the scratch area and scratch length corresponding to the fth scratch inside the ith pipeline to be monitored, s′ and l′ respectively represent the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored stored in the data storage module, b3, b4, and b5 respectively represent the influencing factors corresponding to the preset scratch area, scratch length, and service life.

[0029] As a further improvement of the present invention, the pipeline pressure resistance coefficient analysis unit is used to calculate the pipeline pressure resistance coefficient corresponding to each pipeline to be monitored, and its specific calculation formula is: ξ i It is represented as the pipeline pressure resistance coefficient corresponding to the i-th pipeline to be monitored, and β1 and β2 are respectively represented as the coefficient factors corresponding to the preset apparent quality index and internal quality index.

[0030] As a further improvement of the present invention, the specific calculation formula of the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored is: ε i It is expressed as the control demand index of the temperature control instrument of the i-th pipeline to be monitored, nd i It represents the internal temperature of the i-th pipeline to be monitored, nd′ represents the preset reference internal temperature of the pipeline, and c1 and c2 represent the influencing factors corresponding to the preset external temperature and internal temperature, respectively.

[0031] As a further improvement of the present invention, the specific analysis process of confirming the control mode of the pipeline temperature control instrument corresponding to each control pipeline and confirming the control value is as follows:

[0032] Step 1: Compare the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored with the preset control demand index threshold. If the control demand index of the pipeline temperature control instrument corresponding to a pipeline to be monitored is greater than the control demand index threshold, the pipeline to be monitored is determined to be a pipeline to be monitored that needs to be regulated;

[0033] Step 2: Extract the internal temperature of each control pipeline from the internal temperature of each pipeline to be monitored, and subtract it from the preset specified internal temperature to obtain the pre-selected control value corresponding to each control pipeline, and match the pre-selected control value corresponding to each control pipeline with the temperature adjustment range of the set pipeline temperature control instrument. If the match is successful, execute the third step, otherwise, issue an early warning;

[0034] Step 3: If the preselected control value corresponding to a certain control pipeline is a positive value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be left control; if the preselected control value corresponding to a certain control pipeline is a negative value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be right control;

[0035] Step 4: Extract the external environment matching index and pipeline pressure resistance coefficient corresponding to each regulated pipeline from the external environment matching index and pipeline pressure resistance coefficient of each pipeline to be monitored, and conduct a comprehensive analysis to obtain the corresponding influence proportional coefficient of each regulated pipeline. The specific calculation formula is: It is represented as the influence proportional coefficient corresponding to the pth control pipeline, p represents the number of the control pipeline, p=1,2,......,q,η p It is expressed as the external environment matching index corresponding to the pth control channel, ξ p It is represented as the pipeline pressure resistance coefficient corresponding to the pth control pipeline, τ1 and τ2 are respectively represented as the influence factors corresponding to the preset external environment matching index and the pipeline pressure resistance coefficient;

[0036] Step 5: Match the influence proportional coefficient corresponding to each control pipeline with the influence control value corresponding to each set influence proportional coefficient to obtain the influence control value corresponding to each control pipeline;

[0037] Step 6: Based on the pre-selected control value and the impact control value corresponding to each control pipeline, the confirmed control value corresponding to each control pipeline is calculated. The specific calculation is: Z u It represents the confirmed control value corresponding to the u-th control pipeline, and u represents the number of the control pipeline, u=1,2,......,y, It is represented as the pre-selected control value corresponding to the u-th control pipeline, Z′ u It is expressed as the impact control value corresponding to the u-th control pipeline.

[0038] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0039] The present invention collects external environmental parameters and internal state parameters of factory pipelines through intelligent devices and automatic collection devices, which makes up for the shortcomings of the current smart factory's equipment and instrument monitoring that are single and one-sided, and greatly improves the scientificity and reliability of the monitoring data. It provides accurate and intuitive data support for the subsequent accuracy analysis of equipment and instruments, greatly improves the representativeness of the monitoring results, and also guarantees the stability and safety of the operation of the instrument control area to a certain extent.

[0040] The present invention obtains the pressure resistance coefficient of the pipeline by comprehensively analyzing the apparent quality index and the internal quality index of the pipeline, and simultaneously obtains the influence proportional coefficient of the pipeline by comprehensively analyzing the pressure resistance coefficient of the pipeline and the external environment matching index, and then confirms the control mode and control value of the control pipeline through analysis, and starts the pipeline temperature control instrument to perform precise control. It not only comprehensively integrates the influence of the external environment of the factory and the environment of the internal pipeline itself on the analysis result, so that the reference and rationality of the equipment instrument analysis result are enhanced, and to a certain extent, it provides strong data support for the control of the temperature control instrument, but also helps to improve the representativeness and effectiveness of the operation effect of the equipment instrument.

[0041] The present invention analyzes the preselected control value of the control pipeline, and confirms by comparison whether the preselected control value of the control pipeline exceeds the adjustable range of the pipeline temperature control instrument. If it is determined to be exceeded, an early warning is issued in time, which is beneficial to improving the timeliness of the early warning prompt, and timely notifying relevant personnel to take corresponding measures, which can effectively extend the use efficiency and safety of the factory pipeline. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0043] Figure 1 It is a connection diagram of the system of the present invention.

[0044] Figure 2 This is a connection diagram of the pipeline pressure monitoring and analysis module of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Reference Figure 1 As shown, the present invention provides an intelligent monitoring, analysis and early warning system for equipment and instruments in a smart factory, including a factory monitoring area division module, a smart equipment layout module, a pipeline external environment analysis module, a pipeline internal state monitoring module, a pipeline pressure monitoring and analysis module, a pipeline instrument control and analysis module and a data storage module.

[0047] The factory monitoring area division module is connected to the smart equipment layout module, the smart equipment is respectively connected to the pipeline external environment analysis module, the pipeline internal state monitoring module, the pipeline pressure monitoring and analysis module and the pipeline instrument control and analysis module, the pipeline external environment analysis module is connected to the pipeline instrument control and analysis module, the pipeline internal state monitoring module is connected to the pipeline pressure monitoring and analysis module, and the pipeline pressure monitoring and analysis module is respectively connected to the pipeline instrument control and analysis module and the data storage module.

[0048] The factory monitoring area division module is used to divide the factory outdoor monitoring area according to the pipeline layout division method, obtain the pipelines to be monitored, and number the pipelines to be monitored as 1, 2, ..., i, ..., n in a preset order.

[0049] The smart device deployment module is used to deploy smart devices and automatic data collection devices inside and outside each pipeline to be monitored.

[0050] As a further improvement of the present invention, the intelligent device includes an intelligent camera, a temperature sensor, a pressure sensor and an automatic temperature control device, and the automatic data acquisition device includes a light intensity sensor, a temperature sensor, a rainfall sensor and a high-definition camera, wherein the automatic temperature control device corresponds to the pipeline temperature control instrument, that is, one pipeline temperature control instrument corresponds to one automatic temperature control device.

[0051] The present invention collects external environmental parameters and internal state parameters of factory pipelines through intelligent devices and automatic collection devices, which makes up for the shortcomings of the current smart factory's equipment and instrument monitoring that are single and one-sided, and greatly improves the scientificity and reliability of the monitoring data. It provides accurate and intuitive data support for the subsequent accuracy analysis of equipment and instruments, greatly improves the representativeness of the monitoring results, and also guarantees the stability and safety of the operation of the instrument control area to a certain extent.

[0052] The pipeline external environment analysis module is used to collect the external environment parameters of each pipeline to be monitored through automatic collection equipment, and thereby analyze and obtain the external environment matching index corresponding to each pipeline to be monitored.

[0053] As a further improvement of the present invention, the analysis obtains the external environment matching index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows:

[0054] The temperature sensor in the automatic data acquisition device collects the external temperature of each pipeline to be monitored, the light intensity sensor in the automatic data acquisition device collects the external light intensity of each monitoring pipeline, and the rainfall sensor in the automatic data acquisition device collects the external rainfall of each monitoring pipeline;

[0055] According to the formula Calculate the external environment matching index corresponding to each pipeline to be monitored, η i It is represented by the external environment matching index corresponding to the i-th pipeline to be monitored, i represents the number of the pipeline to be monitored, i=1,2,......,n,wd i , gz i 、jy i They respectively represent the external temperature, external light intensity, and external rainfall corresponding to the i-th pipeline to be monitored, wd′, gz′, and jy′ respectively represent the reference external temperature, reference external light intensity, and reference external rainfall of the preset pipeline, and a1, a2, and a3 respectively represent the compensation factors corresponding to the preset pipeline external temperature, external light intensity, and external rainfall.

[0056] It should be noted that the greater the difference between the external temperature, external light intensity, and external rainfall and their preset reference values, the smaller the external environment matching index.

[0057] The pipeline internal state monitoring module is used to monitor the internal state of each pipeline to be monitored through an intelligent device, thereby obtaining a set of internal state parameters corresponding to each pipeline to be monitored.

[0058] As a further improvement of the present invention, the specific process of obtaining the internal state parameter set corresponding to each pipeline to be monitored is as follows:

[0059] The internal pressure value of each pipeline to be monitored is collected through the pressure sensor in the smart device, the internal temperature of each pipeline to be monitored is collected through the temperature sensor in the smart device, and the image of the interior of each pipeline to be monitored is collected through the smart camera in the smart device;

[0060] Based on the internal pressure value, internal temperature and internal image of each pipeline to be monitored, a set of internal state parameters of each pipeline to be monitored is constructed.

[0061] The pipeline pressure monitoring and analysis module is used to monitor the apparent quality and internal quality of each pipeline to be monitored through automatic collection equipment and intelligent equipment, thereby analyzing and obtaining the pipeline pressure coefficient corresponding to each pipeline to be monitored. The pipeline pressure monitoring and analysis module includes an apparent and internal quality analysis unit and a pipeline pressure coefficient analysis unit.

[0062] As a further improvement of the present invention, the apparent and internal quality analysis unit is used to analyze the apparent quality index and the internal quality index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows:

[0063] The high-definition camera in the automatic acquisition device is used to collect images of each pipeline to be monitored, and the number of wear points on the outside of each pipeline to be monitored is counted, and the wear area corresponding to each wear point on the outside of each pipeline to be monitored is obtained;

[0064] Extract the corresponding service life of each pipeline to be monitored from the data storage module according to the formula

[0065] Calculate the apparent quality index corresponding to each pipeline to be monitored, φ i It is expressed as the apparent quality index corresponding to the i-th pipeline to be monitored, It is represented by the wear area corresponding to the jth wear point on the outside of the i-th pipeline to be monitored, e is represented by a natural constant, j is represented by the number of the wear point, j = 1, 2, ..., t, x i It represents the service life corresponding to the i-th pipeline to be monitored, m′ and x′ represent the allowable wear area and allowable service life corresponding to the pipeline to be monitored stored in the data storage module, respectively, and b1 and b2 represent the weight factors corresponding to the preset wear area and service life, respectively;

[0066] Counting the number of scratches inside each pipeline to be monitored from the internal image of each pipeline to be monitored, and obtaining the scratch length and scratch area corresponding to each scratch inside each pipeline to be monitored;

[0067] According to the formula Calculate the internal quality index corresponding to each pipeline to be monitored. It is expressed as the internal quality index corresponding to the i-th pipeline to be monitored, They respectively represent the scratch area and scratch length corresponding to the fth scratch inside the ith pipeline to be monitored, s′ and l′ respectively represent the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored stored in the data storage module, b3, b4, and b5 respectively represent the influencing factors corresponding to the preset scratch area, scratch length, and service life.

[0068] As a further improvement of the present invention, the pipeline pressure resistance coefficient analysis unit is used to calculate the pipeline pressure resistance coefficient corresponding to each pipeline to be monitored, and its specific calculation formula is: ξ i It is represented as the pipeline pressure resistance coefficient corresponding to the i-th pipeline to be monitored, and β1 and β2 are respectively represented as the coefficient factors corresponding to the preset apparent quality index and internal quality index.

[0069] It should be noted that the larger the apparent quality index and internal quality index corresponding to the pipeline to be monitored are, the larger the pipeline pressure resistance coefficient corresponding to the pipeline to be monitored is, that is, the stronger the pressure bearing capacity of the pipeline to be monitored is.

[0070] The pipeline instrument control analysis module is used to compare the external temperature and internal temperature corresponding to each pipeline to be monitored with the preset pipeline reference external temperature and pipeline reference internal temperature respectively, to obtain the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored, and to determine whether each pipeline to be monitored needs to be regulated. At the same time, the pipeline to be monitored that needs to be regulated is recorded as a regulated pipeline, and then the control method and control value of the pipeline temperature control instrument corresponding to each regulated pipeline are confirmed.

[0071] As a further improvement of the present invention, the specific calculation formula of the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored is: ε i It is expressed as the control demand index of the temperature control instrument of the i-th pipeline to be monitored, nd i It represents the internal temperature of the i-th pipeline to be monitored, nd′ represents the preset reference internal temperature of the pipeline, and c1 and c2 represent the influencing factors corresponding to the preset external temperature and internal temperature, respectively.

[0072] As a further improvement of the present invention, the specific analysis process of confirming the control mode of the pipeline temperature control instrument corresponding to each control pipeline and confirming the control value is as follows:

[0073] The first step: compare the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored with the preset control demand index threshold. If the control demand index of the pipeline temperature control instrument corresponding to a pipeline to be monitored is greater than the control demand index threshold, the pipeline to be monitored is determined to be a pipeline to be monitored that needs to be regulated.

[0074] Step 2: Extract the internal temperature of each control pipeline from the internal temperature of each pipeline to be monitored, and subtract it from the preset specified internal temperature to obtain the pre-selected control value corresponding to each control pipeline, and match the pre-selected control value corresponding to each control pipeline with the temperature control range of the set pipeline temperature control instrument. If the match is successful, execute the third step, otherwise, issue an early warning.

[0075] The present invention analyzes the preselected control value of the control pipeline, and confirms by comparison whether the preselected control value of the control pipeline exceeds the adjustable range of the pipeline temperature control instrument. If it is determined to be exceeded, an early warning is issued in time, which is beneficial to improving the timeliness of the early warning prompt, and timely notifying relevant personnel to take corresponding measures, which can effectively extend the use efficiency and safety of the factory pipeline.

[0076] Step 3: If the pre-selected control value corresponding to a certain control pipeline is a positive value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be left control; if the pre-selected control value corresponding to a certain control pipeline is a negative value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be right control.

[0077] Step 4: Extract the external environment matching index and pipeline pressure resistance coefficient corresponding to each regulated pipeline from the external environment matching index and pipeline pressure resistance coefficient of each pipeline to be monitored, and conduct a comprehensive analysis to obtain the corresponding influence proportional coefficient of each regulated pipeline. The specific calculation formula is: It is represented as the influence proportional coefficient corresponding to the pth control pipeline, p represents the number of the control pipeline, p=1,2,......,q,η p It is expressed as the external environment matching index corresponding to the pth control channel, ξ p It is represented as the pipeline pressure resistance coefficient corresponding to the pth control pipeline, τ1 and τ2 are represented as the influencing factors corresponding to the preset external environment matching index and the pipeline pressure resistance coefficient, respectively.

[0078] Step 5: Match the influence proportional coefficient corresponding to each control pipeline with the influence control value corresponding to the set various influence proportional coefficients to obtain the influence control value corresponding to each control pipeline.

[0079] Step 6: Based on the pre-selected control value and the impact control value corresponding to each control pipeline, the confirmed control value corresponding to each control pipeline is calculated. The specific calculation is: Z u It represents the confirmed control value corresponding to the u-th control pipeline, and u represents the number of the control pipeline, u=1,2,......,y, It is represented as the pre-selected control value corresponding to the u-th control pipeline, Z′ u It is expressed as the impact control value corresponding to the u-th control pipeline.

[0080] The present invention obtains the pressure resistance coefficient of the pipeline by comprehensively analyzing the apparent quality index and the internal quality index of the pipeline, and simultaneously obtains the influence proportional coefficient of the pipeline by comprehensively analyzing the pressure resistance coefficient of the pipeline and the external environment matching index, and then confirms the control mode and control value of the control pipeline through analysis, and starts the pipeline temperature control instrument to perform precise control. It not only comprehensively integrates the influence of the external environment of the factory and the environment of the internal pipeline itself on the analysis result, so that the reference and rationality of the equipment instrument analysis result are enhanced, and to a certain extent, it provides strong data support for the control of the temperature control instrument, but also helps to improve the representativeness and effectiveness of the operation effect of the equipment instrument.

[0081] The data storage module is used to store the service life corresponding to each pipeline to be monitored, store the allowable wear area and allowable service life corresponding to the pipeline to be monitored, and store the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored.

[0082] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A smart factory construction equipment instrument intelligent monitoring, analysis and early warning system, characterized in that: include: The factory monitoring area division module is used to divide the factory outdoor monitoring area according to the division method of pipeline layout, obtain each pipeline to be monitored, and number each pipeline to be monitored as 1, 2, ..., i, ..., n in a preset order; Smart device deployment module, used to deploy smart devices and automatic data collection devices inside and outside each pipeline to be monitored; The pipeline external environment analysis module is used to collect the external environment parameters of each pipeline to be monitored through automatic collection equipment, and thereby analyze and obtain the external environment matching index corresponding to each pipeline to be monitored; The pipeline internal state monitoring module is used to monitor the internal state of each pipeline to be monitored through an intelligent device, thereby obtaining a set of internal state parameters corresponding to each pipeline to be monitored; The pipeline pressure monitoring and analysis module is used to monitor the apparent quality and internal quality of each pipeline to be monitored through automatic acquisition equipment and intelligent equipment, thereby analyzing and obtaining the pipeline pressure coefficient corresponding to each pipeline to be monitored, wherein the pipeline pressure monitoring and analysis module includes an apparent and internal quality analysis unit and a pipeline pressure coefficient analysis unit; The pipeline instrument control analysis module is used to compare the external temperature and internal temperature corresponding to each pipeline to be monitored with the preset pipeline reference external temperature and pipeline reference internal temperature, respectively, to obtain the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored, and to determine whether each pipeline to be monitored needs to be regulated. At the same time, the pipeline to be monitored that needs to be regulated is recorded as a regulated pipeline, and then the control method and control value of the pipeline temperature control instrument corresponding to each regulated pipeline are confirmed; The data storage module is used to store the service life corresponding to each pipeline to be monitored, store the allowable wear area and allowable service life corresponding to the pipeline to be monitored, and store the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored.

2. According to claim 1, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The intelligent device includes an intelligent camera, a temperature sensor, a pressure sensor and an automatic temperature control device, and the automatic data acquisition device includes a light intensity sensor, a temperature sensor, a rainfall sensor and a high-definition camera. The automatic temperature control device corresponds to the pipeline temperature control instrument, that is, one pipeline temperature control instrument corresponds to one automatic temperature control device.

3. According to claim 1, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The analysis obtains the external environment matching index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows: The temperature sensor in the automatic data acquisition device collects the external temperature of each pipeline to be monitored, the light intensity sensor in the automatic data acquisition device collects the external light intensity of each monitoring pipeline, and the rainfall sensor in the automatic data acquisition device collects the external rainfall of each monitoring pipeline; According to the formula Calculate the external environment matching index corresponding to each pipeline to be monitored, η i It is represented by the external environment matching index corresponding to the i-th pipeline to be monitored, i represents the number of the pipeline to be monitored, i=1,2,......,n,wd i , gz i 、jy i They respectively represent the external temperature, external light intensity, and external rainfall corresponding to the i-th pipeline to be monitored, wd′, gz′, and jy′ respectively represent the reference external temperature, reference external light intensity, and reference external rainfall of the preset pipeline, and a1, a2, and a3 respectively represent the compensation factors corresponding to the preset pipeline external temperature, external light intensity, and external rainfall.

4. According to claim 1, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The specific process of obtaining the internal state parameter set corresponding to each pipeline to be monitored is as follows: The internal pressure value of each pipeline to be monitored is collected through the pressure sensor in the smart device, the internal temperature of each pipeline to be monitored is collected through the temperature sensor in the smart device, and the image of the interior of each pipeline to be monitored is collected through the smart camera in the smart device; Based on the internal pressure value, internal temperature and internal image of each pipeline to be monitored, a set of internal state parameters of each pipeline to be monitored is constructed.

5. According to claim 4, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The apparent and internal quality analysis unit is used to analyze the apparent quality index and internal quality index corresponding to each pipeline to be monitored, and the specific analysis steps are as follows: The high-definition camera in the automatic acquisition device is used to collect images of each pipeline to be monitored, and the number of wear points on the outside of each pipeline to be monitored is counted, and the wear area corresponding to each wear point on the outside of each pipeline to be monitored is obtained; Extract the corresponding service life of each pipeline to be monitored from the data storage module according to the formula Calculate the apparent quality index corresponding to each pipeline to be monitored, φ i It is expressed as the apparent quality index corresponding to the i-th pipeline to be monitored, It is represented by the wear area corresponding to the jth wear point on the outside of the i-th pipeline to be monitored, e is represented by a natural constant, j is represented by the number of the wear point, j = 1, 2, ..., t, x i It represents the service life corresponding to the i-th pipeline to be monitored, m′ and x′ represent the allowable wear area and allowable service life corresponding to the pipeline to be monitored stored in the data storage module, respectively, and b1 and b2 represent the weight factors corresponding to the preset wear area and service life, respectively; Counting the number of scratches inside each pipeline to be monitored from the internal image of each pipeline to be monitored, and obtaining the scratch length and scratch area corresponding to each scratch inside each pipeline to be monitored; According to the formula Calculate the internal quality index corresponding to each pipeline to be monitored. It is expressed as the internal quality index corresponding to the i-th pipeline to be monitored, They respectively represent the scratch area and scratch length corresponding to the fth scratch inside the ith pipeline to be monitored, s′ and l′ respectively represent the allowable scratch area and allowable scratch length corresponding to the pipeline to be monitored stored in the data storage module, b3, b4, and b5 respectively represent the influencing factors corresponding to the preset scratch area, scratch length, and service life.

6. According to claim 5, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The pipeline pressure resistance coefficient analysis unit is used to calculate the pipeline pressure resistance coefficient corresponding to each pipeline to be monitored, and its specific calculation formula is: ξ i It is represented as the pipeline pressure resistance coefficient corresponding to the i-th pipeline to be monitored, and β1 and β2 are respectively represented as the coefficient factors corresponding to the preset apparent quality index and internal quality index.

7. According to claim 1, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The specific calculation formula of the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored is: ε i It is expressed as the control demand index of the temperature control instrument of the i-th pipeline to be monitored, nd i It represents the internal temperature of the i-th pipeline to be monitored, nd′ represents the preset reference internal temperature of the pipeline, and c1 and c2 represent the influencing factors corresponding to the preset external temperature and internal temperature, respectively.

8. According to claim 1, a smart factory construction equipment instrument intelligent monitoring, analysis and early warning system is characterized by: The specific analysis process of confirming the control mode and control value of the pipeline temperature control instrument corresponding to each control pipeline is as follows: Step 1: Compare the control demand index of the pipeline temperature control instrument corresponding to each pipeline to be monitored with the preset control demand index threshold. If the control demand index of the pipeline temperature control instrument corresponding to a pipeline to be monitored is greater than the control demand index threshold, the pipeline to be monitored is determined to be a pipeline to be monitored that needs to be regulated; Step 2: Extract the internal temperature of each control pipeline from the internal temperature of each pipeline to be monitored, and subtract it from the preset specified internal temperature to obtain the pre-selected control value corresponding to each control pipeline, and match the pre-selected control value corresponding to each control pipeline with the temperature adjustment range of the set pipeline temperature control instrument. If the match is successful, execute the third step, otherwise, issue an early warning; Step 3: If the preselected control value corresponding to a certain control pipeline is a positive value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be left control; if the preselected control value corresponding to a certain control pipeline is a negative value, then the control mode of the pipeline temperature control instrument corresponding to the control pipeline is determined to be right control; Step 4: Extract the external environment matching index and pipeline pressure resistance coefficient corresponding to each regulated pipeline from the external environment matching index and pipeline pressure resistance coefficient of each pipeline to be monitored, and conduct a comprehensive analysis to obtain the corresponding influence proportional coefficient of each regulated pipeline. The specific calculation formula is: It is represented as the influence proportional coefficient corresponding to the pth control pipeline, p represents the number of the control pipeline, p=1,2,......,q,η p It is expressed as the external environment matching index corresponding to the pth control channel, ξ p It is represented as the pipeline pressure resistance coefficient corresponding to the pth control pipeline, τ1 and τ2 are respectively represented as the influence factors corresponding to the preset external environment matching index and the pipeline pressure resistance coefficient; Step 5: Match the influence proportional coefficient corresponding to each control pipeline with the influence control value corresponding to each set influence proportional coefficient to obtain the influence control value corresponding to each control pipeline; Step 6: Based on the pre-selected control value and the impact control value corresponding to each control pipeline, the confirmed control value corresponding to each control pipeline is calculated. The specific calculation is: Zu represents the confirmed control value corresponding to the u-th control pipeline, and u represents the number of the control pipeline, u=1,2,......,y, It is represented as the pre-selected control value corresponding to the u-th control pipeline, Z u ′ represents the impact control value corresponding to the u-th control pipeline.

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