CN112571149A - Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool - Google Patents

Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool Download PDF

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CN112571149A
CN112571149A CN202011408241.1A CN202011408241A CN112571149A CN 112571149 A CN112571149 A CN 112571149A CN 202011408241 A CN202011408241 A CN 202011408241A CN 112571149 A CN112571149 A CN 112571149A
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machine tool
tool equipment
temperature
heat dissipation
equipment
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董云春
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/007Arrangements for observing, indicating or measuring on machine tools for managing machine functions not concerning the tool
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q11/00Accessories fitted to machine tools for keeping tools or parts of the machine in good working condition or for cooling work; Safety devices specially combined with or arranged in, or specially adapted for use in connection with, machine tools
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q11/00Accessories fitted to machine tools for keeping tools or parts of the machine in good working condition or for cooling work; Safety devices specially combined with or arranged in, or specially adapted for use in connection with, machine tools
    • B23Q11/12Arrangements for cooling or lubricating parts of the machine
    • B23Q11/126Arrangements for cooling or lubricating parts of the machine for cooling only

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Abstract

The invention discloses a cooling heat dissipation monitoring and alarming system of a large-scale numerical control machine, which relates to the technical field of cooling heat dissipation detection and solves the technical problem that the working efficiency is reduced because the temperature of machine tool equipment cannot be monitored in the prior art, the temperature data of the machine tool equipment is analyzed through a temperature monitoring unit so as to monitor the machine tool equipment, the average temperature of the machine tool equipment, the difference value between the highest temperature of the machine tool equipment during working and the highest temperature of the machine tool equipment during non-working and the speed of temperature change of the machine tool equipment during working are obtained, the temperature coefficient Xi of the machine tool equipment is obtained through a formula, if the temperature coefficient Xi of the machine tool equipment is less than the temperature coefficient threshold value, the temperature of the machine tool equipment is judged to be abnormal, a temperature abnormal signal is generated, and the temperature abnormal signal; the temperature monitoring is carried out on the machine tool equipment, so that the machine tool equipment is prevented from being broken down during working, the working efficiency is reduced, and the probability of the machine tool equipment breaking down is reduced.

Description

Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool
Technical Field
The invention relates to the technical field of cooling and heat dissipation detection, in particular to a cooling and heat dissipation monitoring and alarming system of a large numerical control machine tool.
Background
The machine tool is influenced by the change of the workshop environment temperature, the heating of a motor, the frictional heating of mechanical motion, cutting heat and a cooling medium, so that the temperature rise of each part of the machine tool is uneven, and the form precision and the processing precision of the machine tool are changed. The temperature rise changes the temperature of each part along with time, so that the existing adjusting precision of the machine tool is lost, the size of a machined workpiece is influenced, and meanwhile, the bearing clearance is changed by the temperature rise, and the machining precision is further influenced. On the other hand, the temperature rise makes the temperature distribution uneven, causing variations in the mutual positional relationship among the parts or parts of the parts, resulting in displacement or distortion of the parts.
However, in the prior art, the temperature of the machine tool equipment cannot be monitored, so that the working efficiency is reduced, and meanwhile, the heat dissipation performance of the machine tool equipment cannot be monitored, so that the risk that the performance of the machine tool equipment is reduced due to slow heat dissipation is increased.
Disclosure of Invention
The invention aims to provide a cooling heat dissipation monitoring and alarming system of a large-scale numerical control machine tool, which receives a temperature abnormal signal through an alarming unit, generates an alarming signal, analyzes heat dissipation information of machine tool equipment at the same time, obtains the temperature reduction speed of the machine tool equipment, the temperature difference value between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and obtains the heat dissipation coefficient SRi of the machine tool equipment through a formula; comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, and grading the machine tool equipment; the heat dissipation performance of the machine tool equipment is monitored, the heat dissipation performance of the machine tool equipment is improved, the risk that the performance of the machine tool equipment is reduced due to slow heat dissipation is reduced, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme:
a cooling and heat dissipation monitoring and alarming system of a large-scale numerical control machine tool comprises a cloud management platform, an equipment supervision unit, a temperature monitoring unit, an alarming unit, a registration unit and a database;
the temperature monitoring unit is used for analyzing temperature data of the machine tool equipment so as to monitor the machine tool equipment, the temperature data of the machine tool equipment is an average temperature of the machine tool equipment, a maximum temperature difference value between the machine tool equipment in working and non-working and a speed of temperature change of the machine tool equipment in working, the machine tool equipment is marked as i, i is 1, 2, and n is a positive integer, and a specific analyzing and monitoring process is as follows:
step one, acquiring the average temperature of machine tool equipment, and marking the average temperature of the machine tool equipment as Wi;
step two, acquiring the highest temperature difference between the working time and the non-working time of the machine tool equipment, and marking the highest temperature difference between the working time and the non-working time of the machine tool equipment as Ci;
acquiring the speed of temperature change of the machine tool equipment during working, and marking the speed of the temperature change of the machine tool equipment during working as Vi;
step four, passing through a formula
Figure BDA0002819134440000021
Acquiring a temperature coefficient Xi of the machine tool equipment, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and a value of a beta blow error correction factor is 1.0236542;
step five, comparing the temperature coefficient Xi of the machine tool equipment with a temperature coefficient threshold value:
if the temperature coefficient Xi of the machine tool equipment is larger than or equal to the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is normal, generating a normal temperature signal, and sending the normal temperature signal to a mobile phone terminal of a manager;
and if the temperature coefficient Xi of the machine tool equipment is less than the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is abnormal, generating a temperature abnormal signal, and sending the temperature abnormal signal to the cloud management platform.
Further, the registration and login unit is used for a manager and a maintainer to submit manager information and maintainer information for registration through a mobile phone terminal, and the manager information and the maintainer information which are successfully registered are sent to the database for storage, the manager information comprises the name, the age, the time of entry and the mobile phone number of personal real-name authentication, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of personal real-name authentication.
Further, after receiving the temperature abnormal signal, the cloud management cloud platform sends the temperature abnormal signal to the alarm unit, the alarm unit is used for receiving the temperature abnormal signal, generating the alarm signal, and simultaneously analyzing the heat dissipation information of the machine tool equipment, wherein the heat dissipation information comprises the temperature reduction speed of the machine tool equipment and the temperature difference value between the temperature before heat dissipation and the temperature after heat dissipation, and the specific analysis process is as follows:
step S1: acquiring the temperature reduction speed of the machine tool equipment, and marking the temperature reduction speed of the machine tool equipment as XJi;
step S2: acquiring the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and marking the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation as CZi;
step S3: obtaining a heat dissipation coefficient SRi of the machine tool equipment by a formula SRi-alpha (XJi × c4+ CZi × c5), wherein c4 and c5 are preset proportionality coefficients, c4 is greater than c5, and alpha is an error correction factor and takes the value of 2.0321452;
step S4: comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, wherein L1 and L2 are both machine tool equipment heat dissipation coefficient threshold values, and L1 is more than L2:
if the heat dissipation coefficient SRi of the machine tool equipment is larger than or equal to L1, judging that the heat dissipation performance of the machine tool equipment is good, marking the equipment as primary heat dissipation equipment, and then sending the primary heat dissipation equipment to a mobile phone terminal of a manager;
if the heat dissipation coefficient SRi of the machine tool equipment is less than or equal to L2 and less than L1, judging that the heat dissipation performance of the machine tool equipment is general, marking the equipment as secondary heat dissipation equipment, and then sending the secondary heat dissipation equipment to a mobile phone terminal of a manager;
and if the heat dissipation coefficient SRi of the machine tool equipment is less than L2, judging that the heat dissipation performance of the machine tool equipment is poor, marking the equipment as three-stage heat dissipation equipment, and then sending the three-stage heat dissipation equipment to a mobile phone terminal of a maintenance worker.
Further, the device monitoring unit is used for analyzing the operation data of the machine tool device, so as to monitor the production of the machine tool device, the operation data of the machine tool device includes the continuous operation time of the machine tool device, the noise decibel value generated when the machine tool device operates, and the interval time of the machine tool device stopping and finishing, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the continuous working time of the machine tool equipment, and marking the continuous working time of the machine tool equipment as SCi;
step SS 2: acquiring a noise decibel value generated when the machine tool equipment works, and marking the noise decibel value generated when the machine tool equipment works as FBi;
step SS 3: acquiring the interval duration of machine tool equipment shutdown trimming, and marking the interval duration of machine tool equipment shutdown trimming as JGi;
step SS 4: by the formula
Figure BDA0002819134440000041
Acquiring a monitoring coefficient SBi of machine tool equipment, wherein b1, b2 and b3 are all preset proportionality coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the monitoring coefficient SBi of the machine tool equipment with a monitoring coefficient threshold of the equipment:
if the monitoring coefficient SBi of the machine tool equipment is not less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a good state, generating a normal signal of the machine tool equipment and sending the normal signal of the machine tool equipment to a mobile phone terminal of a manager;
and if the monitoring coefficient SBi of the machine tool equipment is less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a general state, generating an abnormal signal of the machine tool equipment and sending the abnormal signal of the machine tool equipment to a mobile phone terminal of a maintenance worker.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the temperature data of the machine tool equipment is analyzed through a temperature monitoring unit, so that the machine tool equipment is monitored, the average temperature of the machine tool equipment, the highest temperature difference value between the working time and the non-working time of the machine tool equipment and the temperature change speed of the machine tool equipment during working are obtained, the temperature coefficient Xi of the machine tool equipment is obtained through a formula, if the temperature coefficient Xi of the machine tool equipment is not less than the temperature coefficient threshold value, the temperature of the machine tool equipment is judged to be normal, a normal temperature signal is generated, and the normal temperature signal is sent to a mobile phone terminal of a manager; if the temperature coefficient Xi of the machine tool equipment is smaller than the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is abnormal, generating a temperature abnormal signal, and sending the temperature abnormal signal to the cloud management platform; the temperature of the machine tool equipment is monitored, so that the machine tool equipment is prevented from being broken down during working, the working efficiency is prevented from being reduced, the probability of the machine tool equipment breaking down is reduced, and the working efficiency is improved;
2. according to the invention, an alarm unit is used for receiving a temperature abnormal signal, generating an alarm signal, analyzing heat dissipation information of machine tool equipment, obtaining the temperature reduction speed of the machine tool equipment, the temperature difference value between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and obtaining the heat dissipation coefficient SRi of the machine tool equipment through a formula; comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, and grading the machine tool equipment; the heat dissipation performance of the machine tool equipment is monitored, the heat dissipation performance of the machine tool equipment is improved, the risk that the performance of the machine tool equipment is reduced due to slow heat dissipation is reduced, and the working efficiency is improved.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a cooling, heat dissipation, monitoring and alarming system of a large-scale numerical control machine includes a cloud management platform, an equipment supervision unit, a temperature monitoring unit, an alarming unit, a registration unit and a database;
the registration login unit is used for submitting management personnel information and maintenance personnel information to register through mobile phone terminals by management personnel and maintenance personnel, and sending the management personnel information and the maintenance personnel information which are successfully registered to the database for storage, wherein the management personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person, and the maintenance personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person;
the temperature monitoring unit is used for analyzing temperature data of the machine tool equipment so as to monitor the machine tool equipment, the temperature data of the machine tool equipment is an average temperature of the machine tool equipment, a maximum temperature difference value between the machine tool equipment in working and non-working and a speed of temperature change of the machine tool equipment in working, the machine tool equipment is marked as i, i is 1, 2, and n is a positive integer, and a specific analyzing and monitoring process is as follows:
step one, acquiring the average temperature of machine tool equipment, and marking the average temperature of the machine tool equipment as Wi;
step two, acquiring the highest temperature difference between the working time and the non-working time of the machine tool equipment, and marking the highest temperature difference between the working time and the non-working time of the machine tool equipment as Ci;
acquiring the speed of temperature change of the machine tool equipment during working, and marking the speed of the temperature change of the machine tool equipment during working as Vi;
step four, passing through a formula
Figure BDA0002819134440000061
Acquiring a temperature coefficient Xi of the machine tool equipment, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and a value of a beta blow error correction factor is 1.0236542;
step five, comparing the temperature coefficient Xi of the machine tool equipment with a temperature coefficient threshold value:
if the temperature coefficient Xi of the machine tool equipment is larger than or equal to the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is normal, generating a normal temperature signal, and sending the normal temperature signal to a mobile phone terminal of a manager;
if the temperature coefficient Xi of the machine tool equipment is smaller than the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is abnormal, generating a temperature abnormal signal, and sending the temperature abnormal signal to the cloud management platform;
after receiving the temperature abnormal signal, the cloud management cloud platform sends the temperature abnormal signal to the alarm unit, the alarm unit is used for receiving the temperature abnormal signal and generating the alarm signal, and simultaneously carries out analysis on the heat dissipation information of the machine tool equipment, wherein the heat dissipation information comprises the temperature reduction speed of the machine tool equipment and the temperature difference value between the temperature before heat dissipation and the temperature after heat dissipation, and the specific analysis process is as follows:
step S1: acquiring the temperature reduction speed of the machine tool equipment, and marking the temperature reduction speed of the machine tool equipment as XJi;
step S2: acquiring the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and marking the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation as CZi;
step S3: obtaining a heat dissipation coefficient SRi of the machine tool equipment by a formula SRi-alpha (XJi × c4+ CZi × c5), wherein c4 and c5 are preset proportionality coefficients, c4 is greater than c5, and alpha is an error correction factor and takes the value of 2.0321452;
step S4: comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, wherein L1 and L2 are both machine tool equipment heat dissipation coefficient threshold values, and L1 is more than L2:
if the heat dissipation coefficient SRi of the machine tool equipment is larger than or equal to L1, judging that the heat dissipation performance of the machine tool equipment is good, marking the equipment as primary heat dissipation equipment, and then sending the primary heat dissipation equipment to a mobile phone terminal of a manager;
if the heat dissipation coefficient SRi of the machine tool equipment is less than or equal to L2 and less than L1, judging that the heat dissipation performance of the machine tool equipment is general, marking the equipment as secondary heat dissipation equipment, and then sending the secondary heat dissipation equipment to a mobile phone terminal of a manager;
if the heat dissipation coefficient SRi of the machine tool equipment is less than L2, judging that the heat dissipation performance of the machine tool equipment is poor, marking the equipment as three-stage heat dissipation equipment, and then sending the three-stage heat dissipation equipment to a mobile phone terminal of a maintenance worker;
the equipment monitoring unit is used for analyzing the operation data of the machine tool equipment so as to monitor the production of the machine tool equipment, the operation data of the machine tool equipment comprises the continuous working time of the machine tool equipment, the decibel value of noise generated when the machine tool equipment works and the shutdown and trimming interval time of the machine tool equipment, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the continuous working time of the machine tool equipment, and marking the continuous working time of the machine tool equipment as SCi;
step SS 2: acquiring a noise decibel value generated when the machine tool equipment works, and marking the noise decibel value generated when the machine tool equipment works as FBi;
step SS 3: acquiring the interval duration of machine tool equipment shutdown trimming, and marking the interval duration of machine tool equipment shutdown trimming as JGi;
step SS 4: by the formula
Figure BDA0002819134440000081
Acquiring a monitoring coefficient SBi of machine tool equipment, wherein b1, b2 and b3 are all preset proportionality coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the monitoring coefficient SBi of the machine tool equipment with a monitoring coefficient threshold of the equipment:
if the monitoring coefficient SBi of the machine tool equipment is not less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a good state, generating a normal signal of the machine tool equipment and sending the normal signal of the machine tool equipment to a mobile phone terminal of a manager;
and if the monitoring coefficient SBi of the machine tool equipment is less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a general state, generating an abnormal signal of the machine tool equipment and sending the abnormal signal of the machine tool equipment to a mobile phone terminal of a maintenance worker.
The working principle of the invention is as follows:
when the cooling and heat dissipation monitoring and alarming system of the large-scale numerical control machine tool works, an alarming unit receives a temperature abnormal signal, generates an alarming signal, analyzes heat dissipation information of machine tool equipment at the same time, obtains the temperature reduction speed of the machine tool equipment, the temperature difference value between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and obtains the heat dissipation coefficient SRi of the machine tool equipment through a formula; comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, wherein L1 and L2 are both machine tool equipment heat dissipation coefficient threshold values, and L1 is more than L2: if the heat dissipation coefficient SRi of the machine tool equipment is larger than or equal to L1, judging that the heat dissipation performance of the machine tool equipment is good, marking the equipment as primary heat dissipation equipment, and then sending the primary heat dissipation equipment to a mobile phone terminal of a manager; if the heat dissipation coefficient SRi of the machine tool equipment is less than or equal to L2 and less than L1, judging that the heat dissipation performance of the machine tool equipment is general, marking the equipment as secondary heat dissipation equipment, and then sending the secondary heat dissipation equipment to a mobile phone terminal of a manager; and if the heat dissipation coefficient SRi of the machine tool equipment is less than L2, judging that the heat dissipation performance of the machine tool equipment is poor, marking the equipment as three-stage heat dissipation equipment, and then sending the three-stage heat dissipation equipment to a mobile phone terminal of a maintenance worker.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (4)

1. A cooling and heat dissipation monitoring and alarming system of a large-scale numerical control machine tool is characterized by comprising a cloud management platform, an equipment supervision unit, a temperature monitoring unit, an alarming unit, a registration unit and a database;
the temperature monitoring unit is used for analyzing temperature data of the machine tool equipment so as to monitor the machine tool equipment, the temperature data of the machine tool equipment is an average temperature of the machine tool equipment, a maximum temperature difference value between the machine tool equipment in working and non-working and a speed of temperature change of the machine tool equipment in working, the machine tool equipment is marked as i, i is 1, 2, and n is a positive integer, and a specific analyzing and monitoring process is as follows:
step one, acquiring the average temperature of machine tool equipment, and marking the average temperature of the machine tool equipment as Wi;
step two, acquiring the highest temperature difference between the working time and the non-working time of the machine tool equipment, and marking the highest temperature difference between the working time and the non-working time of the machine tool equipment as Ci;
acquiring the speed of temperature change of the machine tool equipment during working, and marking the speed of the temperature change of the machine tool equipment during working as Vi;
step four, passing through a formula
Figure FDA0002819134430000011
Acquiring a temperature coefficient Xi of the machine tool equipment, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and a value of a beta blow error correction factor is 1.0236542;
step five, comparing the temperature coefficient Xi of the machine tool equipment with a temperature coefficient threshold value:
if the temperature coefficient Xi of the machine tool equipment is larger than or equal to the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is normal, generating a normal temperature signal, and sending the normal temperature signal to a mobile phone terminal of a manager;
and if the temperature coefficient Xi of the machine tool equipment is less than the temperature coefficient threshold value, judging that the temperature of the machine tool equipment is abnormal, generating a temperature abnormal signal, and sending the temperature abnormal signal to the cloud management platform.
2. The cooling heat dissipation monitoring and warning system of a large-scale numerical control machine tool according to claim 1, wherein the registration and login unit is used for a manager and a maintainer to submit manager information and maintainer information through a mobile phone terminal for registration, and to send the manager information and the maintainer information which are successfully registered to the database for storage, the manager information includes a name, an age, an attendance time and a mobile phone number for personal real name authentication, and the maintainer information includes a name, an age, an attendance time and a mobile phone number for personal real name authentication.
3. The cooling and heat dissipation monitoring and warning system of the large-scale numerical control machine tool according to claim 1, wherein the cloud management cloud platform sends the temperature abnormal signal to the warning unit after receiving the temperature abnormal signal, the warning unit is configured to receive the temperature abnormal signal, generate the warning signal, and analyze heat dissipation information of the machine tool equipment, the heat dissipation information includes a temperature reduction speed of the machine tool equipment and a temperature difference between a temperature before heat dissipation and a temperature after heat dissipation, and a specific analysis process is as follows:
step S1: acquiring the temperature reduction speed of the machine tool equipment, and marking the temperature reduction speed of the machine tool equipment as XJi;
step S2: acquiring the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation, and marking the difference between the temperature of the machine tool equipment before heat dissipation and the temperature of the machine tool equipment after heat dissipation as CZi;
step S3: obtaining a heat dissipation coefficient SRi of the machine tool equipment by a formula SRi-alpha (XJi × c4+ CZi × c5), wherein c4 and c5 are preset proportionality coefficients, c4 is greater than c5, and alpha is an error correction factor and takes the value of 2.0321452;
step S4: comparing the heat dissipation coefficient SRi of the machine tool equipment with L1 and L2, wherein L1 and L2 are both machine tool equipment heat dissipation coefficient threshold values, and L1 is more than L2:
if the heat dissipation coefficient SRi of the machine tool equipment is larger than or equal to L1, judging that the heat dissipation performance of the machine tool equipment is good, marking the equipment as primary heat dissipation equipment, and then sending the primary heat dissipation equipment to a mobile phone terminal of a manager;
if the heat dissipation coefficient SRi of the machine tool equipment is less than or equal to L2 and less than L1, judging that the heat dissipation performance of the machine tool equipment is general, marking the equipment as secondary heat dissipation equipment, and then sending the secondary heat dissipation equipment to a mobile phone terminal of a manager;
and if the heat dissipation coefficient SRi of the machine tool equipment is less than L2, judging that the heat dissipation performance of the machine tool equipment is poor, marking the equipment as three-stage heat dissipation equipment, and then sending the three-stage heat dissipation equipment to a mobile phone terminal of a maintenance worker.
4. The cooling and heat dissipation monitoring and warning system of the large-scale numerically-controlled machine tool according to claim 1, wherein the device monitoring unit is configured to analyze machine tool device operation data to monitor production of the machine tool device, the machine tool device operation data includes a duration of continuous operation of the machine tool device, a decibel value of noise generated during operation of the machine tool device, and a duration of an interval between machine tool device shutdown and trimming, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the continuous working time of the machine tool equipment, and marking the continuous working time of the machine tool equipment as SCi;
step SS 2: acquiring a noise decibel value generated when the machine tool equipment works, and marking the noise decibel value generated when the machine tool equipment works as FBi;
step SS 3: acquiring the interval duration of machine tool equipment shutdown trimming, and marking the interval duration of machine tool equipment shutdown trimming as JGi;
step SS 4: by the formula
Figure FDA0002819134430000031
Acquiring a monitoring coefficient SBi of machine tool equipment, wherein b1, b2 and b3 are all preset proportionality coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
step SS 5: comparing the monitoring coefficient SBi of the machine tool equipment with a monitoring coefficient threshold of the equipment:
if the monitoring coefficient SBi of the machine tool equipment is not less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a good state, generating a normal signal of the machine tool equipment and sending the normal signal of the machine tool equipment to a mobile phone terminal of a manager;
and if the monitoring coefficient SBi of the machine tool equipment is less than the monitoring coefficient threshold value of the machine tool equipment, judging that the machine tool equipment is in a general state, generating an abnormal signal of the machine tool equipment and sending the abnormal signal of the machine tool equipment to a mobile phone terminal of a maintenance worker.
CN202011408241.1A 2020-12-05 2020-12-05 Cooling, heat dissipation monitoring and alarming system of large numerical control machine tool Withdrawn CN112571149A (en)

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CN113449977A (en) * 2021-06-23 2021-09-28 广东鑫钻节能科技股份有限公司 Heat recycling system of air compression station
CN113554854A (en) * 2021-08-02 2021-10-26 铜陵兢强电子科技股份有限公司 Enameled equipment stall alarm system
CN113848804A (en) * 2021-08-24 2021-12-28 安徽尤蒂卡智能科技有限公司 Internet of things-based numerical control machine tool safety operation supervision feedback system
CN114047015A (en) * 2022-01-06 2022-02-15 广东亿诚发科技集团有限公司 Internet-based performance prediction system and method for cable bridge
CN114326590A (en) * 2021-12-28 2022-04-12 苏州科腾软件开发有限公司 Machine tool data acquisition and sharing device and acquisition method thereof

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095705A (en) * 2021-04-22 2021-07-09 苏州百胜动力机器股份有限公司 Outboard engine fault detection system based on big data
CN113449977A (en) * 2021-06-23 2021-09-28 广东鑫钻节能科技股份有限公司 Heat recycling system of air compression station
CN113449977B (en) * 2021-06-23 2022-02-22 广东鑫钻节能科技股份有限公司 Heat recycling system of air compression station
CN113554854A (en) * 2021-08-02 2021-10-26 铜陵兢强电子科技股份有限公司 Enameled equipment stall alarm system
CN113554854B (en) * 2021-08-02 2022-08-05 铜陵兢强电子科技股份有限公司 Enameled equipment stall alarm system
CN113848804A (en) * 2021-08-24 2021-12-28 安徽尤蒂卡智能科技有限公司 Internet of things-based numerical control machine tool safety operation supervision feedback system
CN113848804B (en) * 2021-08-24 2023-09-12 安徽尤蒂卡智能科技有限公司 Numerical control machine tool safe operation supervision feedback system based on Internet of things
CN114326590A (en) * 2021-12-28 2022-04-12 苏州科腾软件开发有限公司 Machine tool data acquisition and sharing device and acquisition method thereof
CN114047015A (en) * 2022-01-06 2022-02-15 广东亿诚发科技集团有限公司 Internet-based performance prediction system and method for cable bridge

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