CN112684723A - Mining intelligent control switch based on internet of things - Google Patents
Mining intelligent control switch based on internet of things Download PDFInfo
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Abstract
The invention discloses a mining intelligent control switch based on the technology of Internet of things, which comprises a data acquisition unit and a soft start-stop unit, wherein the data acquisition unit and the data analysis unit are arranged, the comprehensive working condition of the intelligent control switch is analyzed according to various acquired data, the acquired data is compared with limited data or threshold values to obtain whether the states of various indexes are normal or not, and the control unit is used for carrying out corresponding processing, so that a monitoring platform can master the working state of an intelligent switch circuit in real time, the safety coefficient is improved, the labor intensity of workers is reduced, the cost is saved, the conduction of a three-phase silicon controlled module is controlled by arranging the soft start-stop unit, the output voltage is limited by the change of a conduction angle of the three-phase silicon controlled module, the damage caused by repeated contact of a switch contact is avoided, and the service life of the intelligent control switch is prolonged, meanwhile, soft start and stop of the control switch are realized, sparks are prevented from being generated in the on-off process of the switch, and the safety is improved.
Description
Technical Field
The invention relates to a control switch, in particular to a mining intelligent control switch based on the technology of the Internet of things.
Background
The control switch is used as a start-stop control part of the terminal equipment, and the application range of the control switch is very wide. The most commonly used control switch (also called mining electromagnetic vacuum starter) at present mainly comprises an isolation reversing switch, a vacuum contactor, a comprehensive protector, a button and other elements.
The common control switch has the characteristics of complex structure, large maintenance amount, poor reliability, uncontrollable running state and the like, and is generally positioned at the tail end of a mine, the current manual control, manual inspection and maintenance control mode can not meet the production requirement of the mine gradually, the existing control switch can not realize soft start and stop, the application range is limited, and the intelligent control switch for the mine based on the internet of things technology is provided aiming at the problems.
Disclosure of Invention
The invention aims to provide a mining intelligent control switch based on the technology of the Internet of things, which analyzes the comprehensive working condition of the intelligent control switch according to various collected data by arranging a data collecting unit and a data analyzing unit, compares the collected data with limited data or threshold values to obtain whether the states of various indexes are normal or not, and utilizes a control unit to carry out corresponding processing, so that a monitoring platform can master the working state of an intelligent switch circuit in real time, the safety coefficient is improved, the labor intensity of workers is reduced, the cost is saved, the conduction of a three-phase silicon controlled module is controlled by arranging a soft start-stop unit, the output voltage is limited by the change of the conduction angle of the three-phase silicon controlled module, the three-phase silicon controlled module is slowly changed, the damage caused by repeated contact of a switch contact is avoided, and the service life of the intelligent control switch is prolonged, meanwhile, soft start and stop of the control switch are realized, sparks generated in the on-off process of the switch are avoided, safety accidents are avoided, and safety is improved.
The technical problem solved by the invention is as follows:
(1) how to analyze the comprehensive working condition of the intelligent control switch according to various collected data by arranging a data collection unit and a data analysis unit, comparing the collected data with limited data or a threshold value to obtain whether the states of various indexes are normal or not, and performing corresponding processing by using a control unit solves the problem that the intelligent control switch in the prior art needs manual control and maintenance due to lack of related data collection processing capacity;
(2) how to control switching on of three-phase silicon controlled module through setting up soft start-stop unit to utilize the change of three-phase silicon controlled rectifier conduction angle to restrict output voltage, make its slow change, solved among the prior art switch fragile and can not realize the problem of soft start-stop.
The purpose of the invention can be realized by the following technical scheme: a mining intelligent control switch based on the technology of the Internet of things comprises a data acquisition unit, a data analysis unit, a data processing unit, a data storage unit, a control unit, a soft start and stop unit, a communication unit and a monitoring platform;
the data acquisition unit is used for acquiring on-off state data, load state data and working environment data in real time and sending the on-off state data, the load state data and the working environment data to the data analysis unit together, the on-off state data comprises on-off temperature data, working voltage data and working voltage data, the load state data comprises load working temperature data, load vibration frequency data, load vibration amplitude data and load working noise data, and the working environment data comprises environment temperature data, environment humidity data and gas concentration data;
the data storage unit is stored with switch specification data, load temperature limiting data and environment limiting data, wherein the switch specification data comprises switch temperature limiting data, switch rated voltage data and switch rated voltage data, the switch temperature limiting data represents a temperature threshold value at which the intelligent control switch can normally work, the load temperature limiting data represents a temperature threshold value at which mechanical components such as a motor and the like can normally work, and the environment limiting data comprises environment temperature limiting data, environment humidity limiting data and gas concentration limiting data;
the data analysis unit carries out comprehensive working condition analysis according to the switch state data, the load state data and the working environment data, and transmits the obtained switch temperature normal signal, switch temperature abnormal signal, current normal signal, current abnormal signal, current dangerous signal, voltage normal signal, voltage abnormal signal, voltage dangerous signal, environment temperature normal signal, environment temperature abnormal signal, environment humidity normal signal, environment humidity abnormal signal, gas concentration normal signal, gas concentration abnormal signal, load temperature normal signal, load temperature abnormal signal and load stability coefficient to the data processing unit;
the data processing unit identifies and processes the received signals and the load stability coefficient, sends the obtained switch alarm signals, environment abnormal signals, leakage alarm signals, load high-temperature alarm signals and maintenance signals to the monitoring platform through the communication unit, and directly transmits the obtained switch danger signals to the control unit;
the control unit is used for receiving and identifying a switch danger signal, sending a stop instruction to the soft start-stop unit, immediately carrying out power-off protection on a circuit after the soft start-stop unit receives the stop instruction, receiving a switch control signal of the monitoring platform, and converting the switch control signal into a switch start-stop instruction to control the soft start-stop unit;
the monitoring platform receives the switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal and converts the signals into corresponding characters and voice prompts, the monitoring platform is in communication connection with the control unit through the communication unit, and soft start and stop operation is carried out on the switch through transmitting the switch control signal to the control unit.
The invention has further technical improvements that: the comprehensive working condition analysis comprises the following specific steps:
s1: acquiring switch state data, marking the switch temperature data therein as TKi, the operating voltage data therein as IKi, and the operating voltage data therein as UKi, wherein i represents the monitoring time point number of the switch state data, i is 1,2,3 … … n1, acquiring load state data, marking the load operating temperature data therein as TFj, the load vibration frequency data therein as ZPj, the load vibration amplitude data therein as ZFj, and the load operating noise data therein as VFj, wherein j represents the monitoring time point number of the load state data, j is 1,2,3 … … n2, acquiring operating environment data, marking the environment temperature data therein as THk, marking the environment humidity data therein as DHk, and the gas concentration data therein as GHk, wherein k represents the monitoring time point number of the operating environment data, k is 1,2,3 … … n 3;
s2: extracting the switch specification data from the data storage unit, and marking the switch temperature limitation data therein as TKS, the switch voltage rating data therein as IKS, the switch voltage rating data therein as UKS, the load temperature limitation data from the data storage unit and marking it as TFS, the environment limitation data from the data storage unit, and marking the environment temperature limitation data therein as THS, the environment humidity limitation data therein as DHS, the gas concentration limitation data therein as GHS;
s3: respectively comparing the switch temperature data with the switch temperature limit data, the working voltage data with the switch rated voltage data, and the working voltage data with the switch rated voltage data:
s31: when the switch temperature data is less than or equal to the switch temperature limit data, judging that the switch working temperature is normal and generating a switch temperature normal signal, and when the switch temperature data is greater than the switch temperature limit data, judging that the switch working temperature is abnormal and generating a switch temperature abnormal signal;
s32: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, presetting a time threshold and an abnormal frequency threshold in a data analysis unit, and generating a voltage dangerous signal when the frequency of voltage abnormality in the time threshold exceeds the abnormal frequency threshold;
s33: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, and when the frequency of voltage abnormality in a time threshold exceeds an abnormal frequency threshold, generating a voltage danger signal;
s4: comparing the environmental temperature data with environmental temperature limit data, the environmental humidity data with environmental humidity limit data, and the gas concentration data with gas concentration limit data respectively:
s41: when the environmental temperature data is less than or equal to the environmental temperature limit data, judging that the environmental temperature is normal, generating an environmental temperature normal signal, and when the environmental temperature data is greater than the environmental temperature limit data, judging that the environmental temperature is abnormal, generating an environmental temperature abnormal signal;
s42: when the environmental humidity data is less than or equal to the environmental humidity limiting data, judging that the environmental humidity is normal, and generating an environmental humidity normal signal;
s43: when the gas concentration data is less than or equal to the gas concentration limiting data, judging that the gas concentration is normal, and producing a gas concentration normal signal;
s5: comparing the load working temperature data with the load temperature limiting data, judging that the load working temperature is normal when the load working temperature data is less than or equal to the load temperature limiting data, generating a load temperature normal signal, and judging that the load working temperature is normal when the load working temperature data is greater than the load temperature limiting dataGenerating a load temperature abnormal signal when the load temperature is abnormal; according to the formula
Obtaining load average temperature data delta TF, load average vibration frequency data delta ZP, load average amplitude data delta ZF and load average noise data delta VF in the same way, and obtaining load average temperature data delta TF, load average vibration frequency data delta ZF and load average noise data delta VF according to a formula
Obtaining the standard deviation of the load temperature
Obtaining the standard deviation of the vibration frequency of the load by the same method
Standard deviation of load amplitude
Sum load noise standard deviation
And substitutes it into the formula
And obtaining a load stability coefficient epsilon, wherein a represents a temperature influence factor, b represents a vibration frequency influence factor, c represents an amplitude influence factor, d represents a noise influence factor, and e is a natural constant in mathematics.
The invention has further technical improvements that: the specific steps of the identification processing are as follows:
SS 1: when the data processing unit identifies a normal switch temperature signal, a normal current signal, a normal voltage signal, a normal ambient temperature signal, a normal ambient humidity signal, a normal gas concentration signal or a normal load temperature signal, no processing is performed;
SS 2: when the data processing unit identifies a switch temperature abnormal signal, a current abnormal signal or a voltage abnormal signal, the data processing unit converts the switch temperature abnormal signal, the current abnormal signal or the voltage abnormal signal into a switch alarm signal, and when the data processing unit identifies a current dangerous signal or a voltage dangerous signal, the data processing unit converts the current dangerous signal or the voltage dangerous signal into a switch dangerous signal;
SS 3: when the data processing unit identifies an environmental temperature abnormal signal or an environmental humidity abnormal signal, the environmental temperature abnormal signal or the environmental humidity abnormal signal is converted into an environmental abnormal signal, and when the gas concentration abnormal signal is identified, the environmental abnormal signal is converted into a leakage alarm signal;
SS 4: when the data processing unit identifies the load temperature abnormal signal, the load temperature abnormal signal is converted into a load high-temperature alarm signal, a load stability threshold value is preset in the data processing unit, the load stability coefficient is compared with the load stability threshold value, when the load stability coefficient is larger than or equal to the load stability threshold value, no processing is carried out, when the load stability coefficient is smaller than the load stability threshold value, the working state of the load is judged to be unstable, and a maintenance signal is generated.
The invention has further technical improvements that: the soft start-stop unit comprises a solid-state electronic switch, wherein a three-phase silicon controlled module is arranged in the solid-state electronic switch, and when a stop instruction or a switch start-stop instruction is received, the conduction angle of the three-phase silicon controlled module is controlled to change.
The invention has further technical improvements that: the communication unit comprises an optical fiber interface and a power carrier interface, the underground central substation is arranged on the communication unit and the monitoring platform, and the optical fiber interface and the power carrier interface of the communication unit are in communication connection with the underground central substation.
Compared with the prior art, the invention has the beneficial effects that:
1. when the invention is used, the data acquisition unit acquires the switch state data, the load state data and the working environment data in real time and sends the data and the load state data and the working environment data to the data analysis unit, the data analysis unit carries out comprehensive working condition analysis according to the switch state data, the load state data and the working environment data and transmits the obtained switch temperature normal signal, switch temperature abnormal signal, current normal signal, current abnormal signal, current dangerous signal, voltage normal signal, voltage abnormal signal, voltage dangerous signal, environment temperature normal signal, environment temperature abnormal signal, environment humidity normal signal, environment humidity abnormal signal, gas concentration normal signal, gas concentration abnormal signal, load temperature normal signal, load temperature abnormal signal and load stability coefficient to the data processing unit together, and the data processing unit carries out identification processing on the received signal and the load stability coefficient, the obtained switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal are sent to the monitoring platform through the communication unit, the obtained switch danger signal is directly transmitted to the control unit, the data acquisition unit and the data analysis unit are arranged, the comprehensive working condition of the intelligent control switch is analyzed according to the acquired data, the acquired data is compared with the limited data or threshold value, whether the state of each index is normal or not is obtained, the control unit is used for carrying out corresponding processing, the monitoring platform can master the working state of the intelligent switch circuit in real time, the safety factor is improved, the labor intensity of workers is reduced, and the cost is saved.
2. When the control unit receives and identifies the switch danger signal, a stop instruction is sent to the soft start-stop unit, the soft start-stop unit immediately carries out power-off protection on the circuit after receiving the stop instruction, the control unit also receives a switch control signal of the monitoring platform and converts the switch control signal into a switch start-stop instruction to control the soft start-stop unit; the monitoring platform receives a switch alarm signal, an environment abnormal signal, an alarm signal is leaked, a load high-temperature alarm signal and a maintenance signal are converted into corresponding characters and voice prompts, the monitoring platform is in communication connection with the control unit through the communication unit, soft start and stop operation is carried out on the switch through transmission of a switch control signal to the control unit, the soft start and stop unit is set, conduction of the three-phase silicon controlled module is controlled, output voltage is limited by change of a conduction angle of the three-phase silicon controlled module, the three-phase silicon controlled module is slowly changed, damage caused by repeated contact of a switch contact is avoided, the service life of the intelligent control switch is prolonged, meanwhile, soft start and stop of the control switch is achieved, sparks are avoided in the switch on-off process, safety accidents are caused, and safety is improved.
Drawings
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 overall perspective structure 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 mining intelligent control switch based on the internet of things technology comprises a data acquisition unit, a data analysis unit, a data processing unit, a data storage unit, a control unit, a soft start/stop unit, a communication unit and a monitoring platform;
the data acquisition unit is used for acquiring on-off state data, load state data and working environment data in real time and sending the on-off state data, the load state data and the working environment data to the data analysis unit together, the on-off state data comprises on-off temperature data, working voltage data and working voltage data, the load state data comprises load working temperature data, load vibration frequency data, load vibration amplitude data and load working noise data, and the working environment data comprises environment temperature data, environment humidity data and gas concentration data;
the data storage unit is stored with switch specification data, load temperature limiting data and environment limiting data, wherein the switch specification data comprises switch temperature limiting data, switch rated voltage data and switch rated voltage data, the switch temperature limiting data represents a temperature threshold value at which the intelligent control switch can normally work, the load temperature limiting data represents a temperature threshold value at which mechanical components such as a motor and the like can normally work, and the environment limiting data comprises environment temperature limiting data, environment humidity limiting data and gas concentration limiting data;
the data analysis unit carries out comprehensive working condition analysis according to the switch state data, the load state data and the working environment data, and transmits the obtained switch temperature normal signal, switch temperature abnormal signal, current normal signal, current abnormal signal, current dangerous signal, voltage normal signal, voltage abnormal signal, voltage dangerous signal, environment temperature normal signal, environment temperature abnormal signal, environment humidity normal signal, environment humidity abnormal signal, gas concentration normal signal, gas concentration abnormal signal, load temperature normal signal, load temperature abnormal signal and load stability coefficient to the data processing unit;
the data processing unit identifies and processes the received signals and the load stability coefficient, sends the obtained switch alarm signals, environment abnormal signals, leakage alarm signals, load high-temperature alarm signals and maintenance signals to the monitoring platform through the communication unit, and directly transmits the obtained switch danger signals to the control unit;
the control unit is used for receiving and identifying a switch danger signal, sending a stop instruction to the soft start-stop unit, immediately carrying out power-off protection on a circuit after the soft start-stop unit receives the stop instruction, receiving a switch control signal of the monitoring platform, and converting the switch control signal into a switch start-stop instruction to control the soft start-stop unit;
the monitoring platform receives the switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal and converts the signals into corresponding characters and voice prompts, the monitoring platform is in communication connection with the control unit through the communication unit, and soft start and stop operation is carried out on the switch through transmitting the switch control signal to the control unit.
The comprehensive working condition analysis comprises the following specific steps:
s1: acquiring switch state data, marking the switch temperature data therein as TKi, the operating voltage data therein as IKi, and the operating voltage data therein as UKi, wherein i represents the monitoring time point number of the switch state data, i is 1,2,3 … … n1, acquiring load state data, marking the load operating temperature data therein as TFj, the load vibration frequency data therein as ZPj, the load vibration amplitude data therein as ZFj, and the load operating noise data therein as VFj, wherein j represents the monitoring time point number of the load state data, j is 1,2,3 … … n2, acquiring operating environment data, marking the environment temperature data therein as THk, marking the environment humidity data therein as DHk, and the gas concentration data therein as GHk, wherein k represents the monitoring time point number of the operating environment data, k is 1,2,3 … … n 3;
s2: extracting the switch specification data from the data storage unit, and marking the switch temperature limitation data therein as TKS, the switch voltage rating data therein as IKS, the switch voltage rating data therein as UKS, the load temperature limitation data from the data storage unit and marking it as TFS, the environment limitation data from the data storage unit, and marking the environment temperature limitation data therein as THS, the environment humidity limitation data therein as DHS, the gas concentration limitation data therein as GHS;
s3: respectively comparing the switch temperature data with the switch temperature limit data, the working voltage data with the switch rated voltage data, and the working voltage data with the switch rated voltage data:
s31: when the switch temperature data is less than or equal to the switch temperature limit data, judging that the switch working temperature is normal and generating a switch temperature normal signal, and when the switch temperature data is greater than the switch temperature limit data, judging that the switch working temperature is abnormal and generating a switch temperature abnormal signal;
s32: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, presetting a time threshold and an abnormal frequency threshold in a data analysis unit, and generating a voltage dangerous signal when the frequency of voltage abnormality in the time threshold exceeds the abnormal frequency threshold;
s33: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, and when the frequency of voltage abnormality in a time threshold exceeds an abnormal frequency threshold, generating a voltage danger signal;
s4: comparing the environmental temperature data with environmental temperature limit data, the environmental humidity data with environmental humidity limit data, and the gas concentration data with gas concentration limit data respectively:
s41: when the environmental temperature data is less than or equal to the environmental temperature limit data, judging that the environmental temperature is normal, generating an environmental temperature normal signal, and when the environmental temperature data is greater than the environmental temperature limit data, judging that the environmental temperature is abnormal, generating an environmental temperature abnormal signal;
s42: when the environmental humidity data is less than or equal to the environmental humidity limiting data, judging that the environmental humidity is normal, and generating an environmental humidity normal signal;
s43: when the gas concentration data is less than or equal to the gas concentration limiting data, judging that the gas concentration is normal, and producing a gas concentration normal signal;
s5: comparing the load working temperature data with the load temperature limiting data, judging that the load working temperature is normal when the load working temperature data is less than or equal to the load temperature limiting data, generating a load temperature normal signal, and judging that the load working temperature is abnormal when the load working temperature data is greater than the load temperature limiting data, and generating a load temperature abnormal signal; according to the formula
Obtaining load average temperature data delta TF, load average vibration frequency data delta ZP and load averageAmplitude data Δ ZF and load average noise data Δ VF according to the formula
Obtaining the standard deviation of the load temperature
Obtaining the standard deviation of the vibration frequency of the load by the same method
Standard deviation of load amplitude
Sum load noise standard deviation
And substitutes it into the formula
And obtaining a load stability coefficient epsilon, wherein a represents a temperature influence factor, b represents a vibration frequency influence factor, c represents an amplitude influence factor, d represents a noise influence factor, and e is a natural constant in mathematics.
The specific steps of the identification processing are as follows:
SS 1: when the data processing unit identifies a normal switch temperature signal, a normal current signal, a normal voltage signal, a normal ambient temperature signal, a normal ambient humidity signal, a normal gas concentration signal or a normal load temperature signal, no processing is performed;
SS 2: when the data processing unit identifies a switch temperature abnormal signal, a current abnormal signal or a voltage abnormal signal, the data processing unit converts the switch temperature abnormal signal, the current abnormal signal or the voltage abnormal signal into a switch alarm signal, and when the data processing unit identifies a current dangerous signal or a voltage dangerous signal, the data processing unit converts the current dangerous signal or the voltage dangerous signal into a switch dangerous signal;
SS 3: when the data processing unit identifies an environmental temperature abnormal signal or an environmental humidity abnormal signal, the environmental temperature abnormal signal or the environmental humidity abnormal signal is converted into an environmental abnormal signal, and when the gas concentration abnormal signal is identified, the environmental abnormal signal is converted into a leakage alarm signal;
SS 4: when the data processing unit identifies the load temperature abnormal signal, the load temperature abnormal signal is converted into a load high-temperature alarm signal, a load stability threshold value is preset in the data processing unit, the load stability coefficient is compared with the load stability threshold value, when the load stability coefficient is larger than or equal to the load stability threshold value, no processing is carried out, when the load stability coefficient is smaller than the load stability threshold value, the working state of the load is judged to be unstable, and a maintenance signal is generated.
The soft start-stop unit comprises a solid-state electronic switch, wherein a three-phase silicon controlled module is arranged in the solid-state electronic switch, and when a stop instruction or a switch start-stop instruction is received, the conduction angle of the three-phase silicon controlled module is controlled to change.
The communication unit comprises an optical fiber interface and a power carrier interface, the underground central substation is arranged on the communication unit and the monitoring platform, and the optical fiber interface and the power carrier interface of the communication unit are in communication connection with the underground central substation.
The working principle is as follows: when the invention is used, the data acquisition unit acquires the switch state data, the load state data and the working environment data in real time and sends the data and the load state data and the working environment data to the data analysis unit, the data analysis unit carries out comprehensive working condition analysis according to the switch state data, the load state data and the working environment data and transmits the obtained switch temperature normal signal, switch temperature abnormal signal, current normal signal, current abnormal signal, current dangerous signal, voltage normal signal, voltage abnormal signal, voltage dangerous signal, environment temperature normal signal, environment temperature abnormal signal, environment humidity normal signal, environment humidity abnormal signal, gas concentration normal signal, gas concentration abnormal signal, load temperature normal signal, load temperature abnormal signal and load stability coefficient to the data processing unit together, and the data processing unit carries out identification processing on the received signal and the load stability coefficient, sending the obtained switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal to a monitoring platform through a communication unit, directly transmitting the obtained switch danger signal to a control unit, sending a stop instruction to a soft start-stop unit when the control unit receives and identifies the switch danger signal, immediately carrying out power-off protection on a circuit after the soft start-stop unit receives the stop instruction, and controlling the soft start-stop unit by converting the switch control signal into the switch start-stop instruction through the control unit; the monitoring platform receives the switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal and converts the signals into corresponding characters and voice prompts, the monitoring platform is in communication connection with the control unit through the communication unit, and soft start and stop operation is carried out on the switch through transmitting the switch control signal to the control unit.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "left", "right", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation and a specific orientation configuration and operation, and thus, should not be construed as limiting the present invention. Furthermore, "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be directly connected or indirectly connected through an intermediate member, or they may be connected through two or more elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (5)
1. The utility model provides a mining intelligent control switch based on internet of things, its characterized in that: the system comprises a data acquisition unit, a data analysis unit, a data processing unit, a data storage unit, a control unit, a soft start-stop unit, a communication unit and a monitoring platform;
the data acquisition unit is used for acquiring on-off state data, load state data and working environment data in real time and sending the on-off state data, the load state data and the working environment data to the data analysis unit together, the on-off state data comprises on-off temperature data, working voltage data and working voltage data, the load state data comprises load working temperature data, load vibration frequency data, load vibration amplitude data and load working noise data, and the working environment data comprises environment temperature data, environment humidity data and gas concentration data;
the data storage unit is stored with switch specification data, load temperature limiting data and environment limiting data, wherein the switch specification data comprises switch temperature limiting data, switch rated voltage data and switch rated voltage data, the switch temperature limiting data represents a temperature threshold value at which the intelligent control switch can normally work, the load temperature limiting data represents a temperature threshold value at which mechanical components such as a motor and the like can normally work, and the environment limiting data comprises environment temperature limiting data, environment humidity limiting data and gas concentration limiting data;
the data analysis unit carries out comprehensive working condition analysis according to the switch state data, the load state data and the working environment data, and transmits the obtained switch temperature normal signal, switch temperature abnormal signal, current normal signal, current abnormal signal, current dangerous signal, voltage normal signal, voltage abnormal signal, voltage dangerous signal, environment temperature normal signal, environment temperature abnormal signal, environment humidity normal signal, environment humidity abnormal signal, gas concentration normal signal, gas concentration abnormal signal, load temperature normal signal, load temperature abnormal signal and load stability coefficient to the data processing unit;
the data processing unit identifies and processes the received signals and the load stability coefficient, sends the obtained switch alarm signals, environment abnormal signals, leakage alarm signals, load high-temperature alarm signals and maintenance signals to the monitoring platform through the communication unit, and directly transmits the obtained switch danger signals to the control unit;
the control unit is used for receiving and identifying a switch danger signal, sending a stop instruction to the soft start-stop unit, immediately carrying out power-off protection on a circuit after the soft start-stop unit receives the stop instruction, receiving a switch control signal of the monitoring platform, and converting the switch control signal into a switch start-stop instruction to control the soft start-stop unit;
the monitoring platform receives the switch alarm signal, the environment abnormal signal, the leakage alarm signal, the load high-temperature alarm signal and the maintenance signal and converts the signals into corresponding characters and voice prompts, the monitoring platform is in communication connection with the control unit through the communication unit, and soft start and stop operation is carried out on the switch through transmitting the switch control signal to the control unit.
2. The mining intelligent control switch based on the internet of things technology according to claim 1, wherein the comprehensive working condition analysis comprises the following specific steps:
s1: acquiring switch state data, marking the switch temperature data therein as TKi, the operating voltage data therein as IKi, and the operating voltage data therein as UKi, wherein i represents the monitoring time point number of the switch state data, i is 1,2,3 … … n1, acquiring load state data, marking the load operating temperature data therein as TFj, the load vibration frequency data therein as ZPj, the load vibration amplitude data therein as ZFj, and the load operating noise data therein as VFj, wherein j represents the monitoring time point number of the load state data, j is 1,2,3 … … n2, acquiring operating environment data, marking the environment temperature data therein as THk, marking the environment humidity data therein as DHk, and the gas concentration data therein as GHk, wherein k represents the monitoring time point number of the operating environment data, k is 1,2,3 … … n 3;
s2: extracting the switch specification data from the data storage unit, and marking the switch temperature limitation data therein as TKS, the switch voltage rating data therein as IKS, the switch voltage rating data therein as UKS, the load temperature limitation data from the data storage unit and marking it as TFS, the environment limitation data from the data storage unit, and marking the environment temperature limitation data therein as THS, the environment humidity limitation data therein as DHS, the gas concentration limitation data therein as GHS;
s3: respectively comparing the switch temperature data with the switch temperature limit data, the working voltage data with the switch rated voltage data, and the working voltage data with the switch rated voltage data:
s31: when the switch temperature data is less than or equal to the switch temperature limit data, judging that the switch working temperature is normal and generating a switch temperature normal signal, and when the switch temperature data is greater than the switch temperature limit data, judging that the switch working temperature is abnormal and generating a switch temperature abnormal signal;
s32: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, presetting a time threshold and an abnormal frequency threshold in a data analysis unit, and generating a voltage dangerous signal when the frequency of voltage abnormality in the time threshold exceeds the abnormal frequency threshold;
s33: when the working voltage data is less than or equal to the switch rated voltage data, judging that the working voltage is normal, generating a voltage normal signal, when the working voltage data is greater than the switch rated voltage data, judging that the working voltage is abnormal, generating a voltage abnormal signal, and when the frequency of voltage abnormality in a time threshold exceeds an abnormal frequency threshold, generating a voltage danger signal;
s4: comparing the environmental temperature data with environmental temperature limit data, the environmental humidity data with environmental humidity limit data, and the gas concentration data with gas concentration limit data respectively:
s41: when the environmental temperature data is less than or equal to the environmental temperature limit data, judging that the environmental temperature is normal, generating an environmental temperature normal signal, and when the environmental temperature data is greater than the environmental temperature limit data, judging that the environmental temperature is abnormal, generating an environmental temperature abnormal signal;
s42: when the environmental humidity data is less than or equal to the environmental humidity limiting data, judging that the environmental humidity is normal, and generating an environmental humidity normal signal;
s43: when the gas concentration data is less than or equal to the gas concentration limiting data, judging that the gas concentration is normal, and producing a gas concentration normal signal;
s5: comparing the load working temperature data with the load temperature limiting data, judging that the load working temperature is normal when the load working temperature data is less than or equal to the load temperature limiting data, generating a load temperature normal signal, and judging that the load working temperature is abnormal when the load working temperature data is greater than the load temperature limiting data, and generating a load temperature abnormal signal; according to the formula
Obtaining load average temperature data delta TF, load average vibration frequency data delta ZP, load average amplitude data delta ZF and load average noise data delta VF in the same way, and obtaining load average temperature data delta TF, load average vibration frequency data delta ZF and load average noise data delta VF according to a formula
Obtaining the standard deviation of the load temperature
Obtaining the standard deviation of the vibration frequency of the load by the same method
Standard deviation of load amplitude
Sum load noise standard deviation
And substitutes it into the formula
And obtaining a load stability coefficient epsilon, wherein a represents a temperature influence factor, b represents a vibration frequency influence factor, c represents an amplitude influence factor, d represents a noise influence factor, and e is a natural constant in mathematics.
3. The mining intelligent control switch based on the internet of things technology according to claim 1, wherein the specific steps of the identification processing are as follows:
SS 1: when the data processing unit identifies a normal switch temperature signal, a normal current signal, a normal voltage signal, a normal ambient temperature signal, a normal ambient humidity signal, a normal gas concentration signal or a normal load temperature signal, no processing is performed;
SS 2: when the data processing unit identifies a switch temperature abnormal signal, a current abnormal signal or a voltage abnormal signal, the data processing unit converts the switch temperature abnormal signal, the current abnormal signal or the voltage abnormal signal into a switch alarm signal, and when the data processing unit identifies a current dangerous signal or a voltage dangerous signal, the data processing unit converts the current dangerous signal or the voltage dangerous signal into a switch dangerous signal;
SS 3: when the data processing unit identifies an environmental temperature abnormal signal or an environmental humidity abnormal signal, the environmental temperature abnormal signal or the environmental humidity abnormal signal is converted into an environmental abnormal signal, and when the gas concentration abnormal signal is identified, the environmental abnormal signal is converted into a leakage alarm signal;
SS 4: when the data processing unit identifies the load temperature abnormal signal, the load temperature abnormal signal is converted into a load high-temperature alarm signal, a load stability threshold value is preset in the data processing unit, the load stability coefficient is compared with the load stability threshold value, when the load stability coefficient is larger than or equal to the load stability threshold value, no processing is carried out, when the load stability coefficient is smaller than the load stability threshold value, the working state of the load is judged to be unstable, and a maintenance signal is generated.
4. The mining intelligent control switch based on the internet of things technology of claim 1, wherein the soft start-stop unit comprises a solid-state electronic switch, a three-phase silicon controlled module is arranged in the solid-state electronic switch, and when a stop instruction or a switch start-stop instruction is received, the conduction angle of the three-phase silicon controlled module is controlled to change.
5. The mining intelligent control switch based on the internet of things technology of claim 1, wherein the communication unit comprises an optical fiber interface and a power carrier interface, an underground central substation is arranged on the communication unit and the monitoring platform, and the optical fiber interface and the power carrier interface of the communication unit are in communication connection with the underground central substation.
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| CN113835026A (en) * | 2021-09-23 | 2021-12-24 | 淮北祥泰科技有限责任公司 | Monitoring system for intelligence switch based on thing networking |
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