CN113254301A - Method and system for detecting running state of steel production equipment - Google Patents

Method and system for detecting running state of steel production equipment Download PDF

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CN113254301A
CN113254301A CN202010089983.6A CN202010089983A CN113254301A CN 113254301 A CN113254301 A CN 113254301A CN 202010089983 A CN202010089983 A CN 202010089983A CN 113254301 A CN113254301 A CN 113254301A
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data
equipment
state
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周毅力
王玉军
姚杰
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Chongqing Chuanyi Automation Co Ltd
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Chongqing Chuanyi Automation Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F11/3058Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3065Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • GPHYSICS
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    • G06Q50/04Manufacturing
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    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention provides a method and a system for detecting the running state of steel production equipment, wherein the method for detecting the running state of the steel production equipment comprises the following steps of obtaining the state data of each equipment to be detected, wherein the state data comprises one of the following data: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested; comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data; and sending the processing result data to the target terminal, wherein the process of sending the processing result data to the target terminal comprises one of the following steps: requesting and pushing processing result data; therefore, the user can obtain the real-time working state of each device more timely through the used target terminal, the obtained information is more timely and efficient, a monitoring room is not required to be set again, and the device is monitored by arranging personnel on duty for a long time, so that the manpower is saved.

Description

Method and system for detecting running state of steel production equipment
Technical Field
The invention relates to the field of steel production, in particular to a method and a system for detecting the running state of steel production equipment.
Background
In the steel industry, a steel mill is divided into a plurality of secondary branch plants, the finished operations of all the branch plants are different, the occupied area of the steel mill is large, and the distance between the branch plants is long. The steel mill has the problems that the types of equipment are various, the operation site environment is complex, the operation condition of the equipment directly influences the production and the like. Currently, the operation state of a monitoring device is monitored by a device manager in a plant in a monitoring room of each plant through the monitoring device. The existing monitoring room is attended for a long time, the labor is consumed, and a user cannot check the working state of the equipment at any time or any place; and the data of each branch factory or each branch workshop is not uniformly summarized, the running states of all equipment of each factory cannot be directly obtained, and the problem of low efficiency to be solved urgently exists.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a method and a system for detecting the operating status of steel production equipment, which is used to solve the problem that a user cannot check the operating status of the equipment at any time or any place.
In order to achieve the above objects and other related objects, the present invention provides a method for detecting an operating state of steel production equipment, comprising:
obtaining status data of each device under test, the status data including one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data;
and sending the processing result data to the target terminal, wherein the process of sending the processing result data to the target terminal comprises one of the following steps: and requesting and pushing the processing result data.
Optionally, the obtaining the state data of each device under test includes:
and arranging an acquisition module at the target position of each device to be detected, and acquiring the state data of each device to be detected through the acquisition module.
Optionally, comparing the state data according to preset data, and obtaining processing result data includes:
collecting normal working data of each device under normal working conditions, wherein each group of normal working data at least comprises one of the following data: ID of the equipment, equipment position information and normal working parameter intervals of the equipment;
setting preset data of each device according to the normal working data of each device;
matching the preset data with the state data, and outputting a first result when the state data falls into the preset data; and when the state data does not fall into the preset data, outputting a second result.
Optionally, a prompt signal for prompting that the user equipment has an abnormality is generated according to the second result.
Optionally, the "requesting the processing result data" includes sending the processing result data to the target terminal according to the user request data; generating the user request data comprises:
performing first verification on user login information, and receiving a user operation instruction when the user login is successful if the first verification is passed;
and performing second verification on the user operation instruction, and generating user request data according to the user operation instruction when the second verification is passed.
Optionally, the user login information includes first authority information, and performing second verification on the user operation instruction includes:
judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is different from the first permission information, not passing the second verification;
and judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is the same as the first permission information, passing the second verification.
The invention also provides a system for detecting the running state of the steel production equipment, which comprises:
the acquisition module is used for acquiring the state data of each device to be tested; the status data includes one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
the processing module is used for comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data;
the target terminal is used for receiving the processing result data sent by the processing module, and the process of sending the processing result data to the target terminal comprises one of the following steps: and requesting and pushing the processing result data.
Optionally, the system for detecting the operating state of the steel production equipment includes that the acquisition module is arranged at a target position of each equipment to be tested, and the target position includes at least one of: bearings for the driving motor and the speed reducer;
collecting the state data of each device to be tested through a collection module; and collecting normal working data of each device under normal working conditions, wherein the normal working data at least comprises one of the following data: ID of the equipment, equipment position information and normal working parameters of the equipment.
Optionally, the system for detecting the operating state of the steel production equipment comprises: matching the preset data with the state data through the processing module, and outputting a first result when the state data falls into the preset data; and outputting a second result when the state data does not fall into the preset data.
Optionally, the system for detecting the running state of the steel production equipment further includes an information prompt module, configured to generate a prompt signal for prompting that the user equipment is abnormal according to the second result; or, the alarm device is used for generating an alarm signal when the signal acquired by the acquisition module exceeds the threshold value of the acquisition module.
As described above, according to the method, the system and the device for detecting the operating state of the steel production equipment, provided by the invention, the processing result data for indicating whether the operating state of the equipment is normal or not is obtained by obtaining the state data of each equipment to be detected and comparing the preset data for indicating the normal operating state of the equipment with the state data, and a user can receive the processing result data through the used target terminal, so that the user can obtain the real-time operating state of each equipment in time, the obtained information is more timely and efficient, a monitoring room is not required to be set and personnel are not required to monitor the equipment for a long time, the manpower is saved, and the user can check the operating state of the equipment at any time and any place through the target terminal, so that the operation is more convenient.
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FIG. 1 is a schematic flow chart of a method for detecting an operating state of steel production equipment according to an embodiment of the present invention.
FIG. 2 is a block diagram of a system for detecting an operating status of a steel production facility according to an embodiment of the present invention.
FIG. 3 is a block diagram of a system for detecting an operating status of a steel production facility according to another embodiment of the present invention.
Description of the element reference numerals
Acquisition module 10, sensor 11, processing module 20, target terminal 30
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that, referring to fig. 1-3, the drawings provided in the following embodiments are only schematic illustrations of the basic idea of the present invention, and the elements related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the elements in actual implementation, and the type, number and proportion of the elements in actual implementation may be changed arbitrarily, and the layout of the elements may be more complicated.
Referring to fig. 1, the present invention provides a method for detecting an operation state of steel production equipment, including:
obtaining status data of each device under test, the status data including one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data;
transmitting the processing result data to the target terminal 30, wherein the process of transmitting the processing result data to the target terminal 30 includes one of the following: and requesting and pushing the processing result data.
It can be understood that the steel production equipment comprises a driving motor, a speed reducer and the like, and the working parameters of each equipment to be tested are obtained by acquiring the field time domain signals and the stress wave energy values of the driving motor and the speed reducer through the acquisition module 10; comparing the state data according to preset data for representing the normal working state of the equipment by the processing module 20 to obtain processing result data, wherein the preset data comprises equipment normal working parameter intervals or equipment normal working parameter values under the normal working conditions of each equipment, when the working parameters of the equipment to be tested corresponding to each equipment fall into the equipment normal working parameter intervals or are the same as the normal working parameter values of each equipment, the working state of the equipment to be tested is normal, otherwise, the equipment to be tested is judged to be abnormal in working, and the processing result data comprises the state data of each equipment to be tested which is acquired in real time and a judgment result obtained after comparison by the processing module 20.
In some embodiments, the processing module 20 may be disposed in the acquisition circuit connected to the acquisition module 10, or disposed in a branch server for detecting and monitoring the devices of each branch, or disposed in the target terminal 30, which is not limited herein. The target terminal 30 may be a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop computer, a car computer, a desktop computer, a set-top box, an intelligent television, a wearable device, etc., and is not particularly limited herein. The target terminal 30 may be portable, so that it is convenient to carry and operate.
In some embodiments, the receiving of the processing result data by the target terminal 30 may be that the processing result is automatically sent to the target terminal 30 once generated, or the processing result data is sent to the target terminal 30 after a request is made by a user using the target terminal 30, which is not limited herein.
In some embodiments, obtaining status data for each device under test comprises:
and arranging an acquisition module 10 at the target position of each device to be tested, and acquiring the state data of each device to be tested through the acquisition module 10.
It will be appreciated that the acquisition module 10 includes one or more sensors 11, and that the variety of sensors 11 may include stress wave sensors. The equipment to be detected can be a driving motor or a speed reducer, the target position of the equipment to be detected can be a driving end bearing of the driving motor, a non-driving end bearing of the driving motor and a bearing of the speed reducer, for example, the state detection operation of a rolling mill can be carried out by measuring the motor driving end bearing and the rolling mill speed reducer input bearing through a stress wave sensor, so that the stress wave sensor is arranged on the bearings of various motors, the stress wave signal collected by the stress wave sensor is more accurate, the feedback value output by the sensor is more accurate, the sensitive and accurate detection of the running state of the steel production equipment is realized, and certainly, the target positions of the equipment to be detected and the equipment to be detected are not limited; through the stress wave on the stress wave sensor to the drive end bearing of driving motor, non-drive end bearing, the bearing of speed reducer, the signal of gathering is the stress wave signal, and the stress wave signal has very high sensitivity to the change of bearing operating condition, based on this kind of sensitivity of stress wave, can realize accurate, the sensitive detection to steel production equipment running state.
In some embodiments, the stress wave sensor is mounted on an input shaft bearing, an output shaft bearing of a reducer of the rolling mill. The stress wave sensor collects stress wave signals and stress wave energy values generated by the bearing in the operation process, the stress wave sensor converts the stress wave signals into the stress wave energy values, the processing module 20 sets a threshold value for the stress wave energy values, an alarm is generated when the stress wave energy values exceed the threshold value, then the processing module 20 or the target terminal 30 analyzes the stress wave signals corresponding to the stress wave energy values, and specific fault positions of the early-warning bearing are judged, such as faults of a bearing inner ring, a bearing outer ring or a rolling body are judged; the user can be according to the concrete fault location that detects out, and timely formulate the maintenance plan and overhaul, avoid equipment trouble to cause too much loss.
In some embodiments, the acquisition module 10 acquires the field time domain signal and the stress wave energy value generated by the device under test during the operation process, and the image data generated by the time domain signal and the stress wave energy value is used to obtain the working parameters of the device under test.
In some embodiments, comparing the state data according to preset data to obtain processing result data includes:
collecting normal working data of each device under normal working conditions, wherein each group of normal working data at least comprises one of the following data: ID of the equipment, equipment position information and normal working parameter intervals of the equipment;
setting preset data of each device according to the normal working data of each device;
matching the preset data with the state data, and outputting a first result when the state data falls into the preset data; and when the state data does not fall into the preset data, outputting a second result.
It can be understood that the output first result includes the status data of the device under test and the judgment result that the device under test is working normally; the output second result comprises the state data of the equipment to be tested and the judgment result of the abnormal working of the equipment to be tested.
The device comprises a storage module, a comparison module and a comparison module, wherein the storage module is used for storing normal working data used for comparison and state data of each device to be tested collected under different time conditions; in some embodiments, a plurality of devices to be tested may exist on one production line, a branch plant may also exist on a plurality of production lines, and a main plant includes a plurality of branch plants, so that there may exist devices of the same model that may exist in different branch plants of the same main plant, different production lines of the same branch plant, or different positions of the same production line, and thus it is necessary to number each device for distinguishing, and the number of each device, i.e., the ID of the device or the ID of the device to be tested, the device position information, or the device position information to be tested, is to distinguish the installation positions of different devices; in some embodiments, when the sensor 11 in the acquisition module 10 is installed, the sensor 11 in the acquisition module 10 may be numbered according to the device on which the sensor 11 is installed and the position of the device, so as to set the ID of the device under test and the position information of the device under test of the device corresponding to the sensor 11, such as performing parameter configuration on each sensor 11 by the processing module 20, including associating the model number of the sensor 11, the threshold value of the sensor 11 and the ID of the device under test and the position information of the device under test of the device corresponding to each sensor 11.
In some embodiments, the method further comprises generating a prompt signal for prompting the user equipment that the abnormality exists according to the second result.
In some embodiments, the "request for processing result data" includes sending the processing result data to the target terminal 30 according to the user request data; generating the user request data comprises:
performing first verification on user login information, and receiving a user operation instruction when the user login is successful if the first verification is passed;
and performing second verification on the user operation instruction, and generating user request data according to the user operation instruction when the second verification is passed.
It can be understood that, in some embodiments, the user needs to perform account login to check the processing result data of each device, and the user can perform website login or login by using a special APP at the target terminal 30, so that leakage of important data related to production and operation due to checking of state data of each device by non-related personnel is avoided, and safety is ensured.
In some embodiments, the first verification of the user login information includes verifying the user login information and the user registration information in the storage module, when the user login information is consistent with the user registration information, the first verification is passed, the user login is successful, after the user login is successful, the user may operate as required to generate a user operation instruction, and the processing module 20 receives the user operation instruction.
In some embodiments, the user login information includes first authority information, and the second verification of the user operation instruction includes:
judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is different from the first permission information, not passing the second verification;
and judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is the same as the first permission information, passing the second verification.
In some embodiments, when a user registers, the authority of different users can be graded, such as that of an engineer user at the front end is set as the reference authority of a certain production line in charge of the engineer user, that of a middle management layer user is set as the reference authority of a certain branch plant in charge of the engineer user, and that of a high management layer user is set as the reference authority of a main plant; taking a front-end engineer user as an example, when the engineer user requests to look up the equipment state of a head office, the request permission information corresponding to the user operation instruction of the engineer user is a head office look-up permission at the moment, and the first permission information included in the user login information of the engineer user is a look-up permission of a certain production line; the processing module 20 compares the request permission information corresponding to the user operation instruction with the first permission information, and if the request permission information corresponding to the user operation instruction of the engineer user is different from the first permission information, the second verification fails, for example, if the request permission information corresponding to the user operation instruction of the engineer user is a consulting permission of a head office, and the first permission information included in the user login information of the engineer user is a consulting permission of a certain production line, the second verification fails, and the target terminal 30 cannot receive processing result data of all devices of the head office; if the request permission information corresponding to the user operation instruction of the engineer user is the reference permission of a certain production line for which the engineer is responsible, and the first permission information included in the user login information of the engineer user is the reference permission of a certain production line, the second verification is passed, and the target terminal 30 used by the user receives the working state data of each device of the production line. Therefore, the condition that the engineer user at the front end obtains the production data and the management information in an override mode is avoided, and the data safety is improved.
In some embodiments, the data collected by each substation sensor 11 is periodically acquired by the collection module 10 from each substation server and stored in the storage module database, so that the processing module 20 can analyze the historical working data of each device.
The invention also provides a system for detecting the running state of the steel production equipment, which comprises:
the acquisition module 10 is used for acquiring state data of each device to be tested; the status data includes one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
the processing module 20 is configured to compare the state data with preset data used for representing a normal working state of the device to obtain processing result data;
the target terminal 30 is configured to receive the processing result data sent by the processing module 20, and a process of sending the processing result data to the target terminal 30 includes one of the following: and requesting and pushing the processing result data. Examples of the target terminal 30 may include: smart phones, tablet computers, electronic book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like.
In some embodiments, the system for detecting the operation status of the steel production equipment includes that the acquisition module 10 is disposed at a target position of each of the devices to be tested, where the target position includes at least one of: a bearing of the driving motor and a bearing of the speed reducer; it will be appreciated that the acquisition module 10 includes one or more sensors 11, and that the types of sensors 11 may include stress wave sensors. The equipment to be detected can be a driving motor or a speed reducer, the target position of the equipment to be detected can be a driving end bearing of the driving motor, a non-driving end bearing of the driving motor and a bearing of the speed reducer, for example, the state detection operation of a rolling mill can be carried out through a stress wave sensor to detect the motor driving end bearing and the rolling mill speed reducer input bearing, so that a stress wave sensor is arranged on the bearings of various motors, stress wave signals collected by the stress wave sensor are more accurate, feedback values output by the sensor are more accurate, the operation state of steel production equipment is sensitively and accurately detected, and certainly, the target positions of the equipment to be detected and the equipment to be detected are not limited; stress waves are transmitted to bearings of a driving end bearing, a non-driving end bearing and a speed reducer of a driving motor through a stress wave sensor, collected signals are stress wave signals, the stress wave signals have high sensitivity to changes of working states of the bearings, and accurate and sensitive detection of running states of steel production equipment can be achieved based on the sensitivity of the stress waves.
It is understood that the Processing module 20 may be implemented by, for example, a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic elements, and is not limited in particular.
Acquiring the state data of each device to be tested through an acquisition module 10; and collecting normal working data of each device under normal working conditions, wherein the normal working data at least comprises one of the following data: ID of the device, device location information, device normal operating parameters.
In some embodiments, the system for detecting the operating condition of the steel production facility includes: matching the preset data with the state data through the processing module 20, and outputting a first result when the state data falls into the preset data; and when the state data does not fall into the preset data, outputting a second result.
In some embodiments, the system for detecting the operating state of the steel production equipment further includes an information prompt module, configured to generate a prompt signal for prompting that the user equipment is abnormal according to the second result; or, when the signal acquired by the acquisition module 10 exceeds the threshold of the acquisition module 10, generating an alarm signal.
In some embodiments, the information prompt module may be a display screen of the output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or slide action, but also detect a duration and pressure related to the touch or slide operation, and display a prompt signal or an alarm signal through a display screen; or the information prompting module can be a loudspeaker, and the specific type of the information prompting module is not limited herein.
Each module of the system for detecting the running state of the steel production equipment can be accessed to a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination of the WiFi, the 2G or the 3G. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card therein, so that the terminal device can log onto a GPRS network to establish communication with a server via the internet.
The embodiment of the system for detecting the running state of the steel production equipment and the beneficial effects thereof refer to the relevant expressions in the method for detecting the running state of the steel production equipment in detail, and are not repeated herein.
As described above, according to the method, the system and the device for detecting the operating state of the steel production equipment provided by the invention, the processing result data for indicating whether the operating state of the equipment is normal or not is obtained by obtaining the state data of each equipment to be detected and comparing the preset data for indicating the normal operating state of the equipment with the state data, and the user can receive the processing result data through the used target terminal 30, so that the user can more timely obtain the real-time operating state of each equipment, the obtained information is more timely and efficient, a monitoring room is not required to be arranged, and the equipment is not required to be monitored by arranging a person on duty for a long time, so that the labor is saved, and the user can check the operating state of the equipment at any time and any place through the target terminal 30, and the operation is more convenient.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be accomplished by those skilled in the art without departing from the spirit and scope of the present invention as set forth in the appended claims.

Claims (10)

1. A method for detecting the running state of steel production equipment is characterized by comprising the following steps:
obtaining status data of each device under test, the status data including one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data;
and sending the processing result data to the target terminal, wherein the process of sending the processing result data to the target terminal comprises one of the following steps: and requesting and pushing the processing result data.
2. The method for detecting the operating state of steel production equipment according to claim 1, wherein obtaining the state data of each equipment to be tested comprises:
and arranging an acquisition module at the target position of each device to be detected, and acquiring the state data of each device to be detected through the acquisition module.
3. The method for detecting the operating state of the steel production equipment according to claim 1, wherein the step of comparing the state data according to preset data to obtain processing result data comprises the steps of:
collecting normal working data of each device under normal working conditions, wherein each group of normal working data at least comprises one of the following data: ID of the equipment, equipment position information and normal working parameter intervals of the equipment;
setting preset data of each device according to the normal working data of each device;
matching the preset data with the state data, and outputting a first result when the state data falls into the preset data; and when the state data does not fall into the preset data, outputting a second result.
4. The method according to claim 3, further comprising generating a notification signal for notifying that the user equipment is abnormal based on the second result.
5. The method for detecting the operating state of steel production equipment according to claim 1, wherein the requesting the processing result data comprises sending the processing result data to a target terminal according to user request data; generating the user request data comprises:
performing first verification on user login information, and receiving a user operation instruction when the user login is successful if the first verification is passed;
and performing second verification on the user operation instruction, and generating user request data according to the user operation instruction when the second verification is passed.
6. The method for detecting the operating state of the steel production equipment according to claim 5, wherein the user login information includes first authority information, and the second verification of the user operation instruction includes:
judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is different from the first permission information, not passing the second verification;
and judging the request permission information corresponding to the user operation instruction, and if the request permission information corresponding to the user operation instruction of the user is the same as the first permission information, passing the second verification.
7. A steel production equipment running state detecting system is characterized by comprising:
the acquisition module is used for acquiring the state data of each device to be tested; the status data includes one of: the ID of the equipment to be tested, the position information of the equipment to be tested and the working parameters of the equipment to be tested;
the processing module is used for comparing the state data according to preset data for representing the normal working state of the equipment to obtain processing result data;
the target terminal is used for receiving the processing result data sent by the processing module; the process of sending the processing result data to the target terminal comprises one of the following steps: and requesting and pushing the processing result data.
8. The system for detecting the operating state of steel production equipment according to claim 7, wherein the acquisition module is arranged at a target position of each piece of equipment to be tested, and the target position comprises at least one of the following positions: a bearing of the driving motor and a bearing of the speed reducer;
collecting the state data of each device to be tested through a collection module; and collecting normal working data of each device under normal working conditions, wherein the normal working data at least comprises one of the following data: ID of the equipment, equipment position information and normal working parameters of the equipment.
9. The system for detecting the operating condition of steel production equipment according to claim 7, comprising: matching the preset data with the state data through the processing module, and outputting a first result when the state data falls into the preset data; and when the state data does not fall into the preset data, outputting a second result.
10. The system for detecting the running state of the steel production equipment according to claim 9, further comprising an information prompting module for generating a prompting signal for prompting that the user equipment is abnormal according to the second result; or, the alarm device is used for generating an alarm signal when the signal acquired by the acquisition module exceeds the threshold value of the acquisition module.
CN202010089983.6A 2020-02-13 2020-02-13 Method and system for detecting running state of steel production equipment Pending CN113254301A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114694356A (en) * 2022-02-25 2022-07-01 阳春新钢铁有限责任公司 Automatic identification and alarm system for hidden danger level of steel production equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102456417A (en) * 2010-10-21 2012-05-16 中国广东核电集团有限公司 Method and system for nuclear power equipment state monitoring
CN109460835A (en) * 2018-11-12 2019-03-12 广州市雅天网络科技有限公司 Situ hardware managing and control system and method
CN109474977A (en) * 2018-11-29 2019-03-15 华普特科技(深圳)股份有限公司 A kind of monitoring method of equipment, apparatus and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102456417A (en) * 2010-10-21 2012-05-16 中国广东核电集团有限公司 Method and system for nuclear power equipment state monitoring
CN109460835A (en) * 2018-11-12 2019-03-12 广州市雅天网络科技有限公司 Situ hardware managing and control system and method
CN109474977A (en) * 2018-11-29 2019-03-15 华普特科技(深圳)股份有限公司 A kind of monitoring method of equipment, apparatus and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114694356A (en) * 2022-02-25 2022-07-01 阳春新钢铁有限责任公司 Automatic identification and alarm system for hidden danger level of steel production equipment
CN114694356B (en) * 2022-02-25 2024-03-19 阳春新钢铁有限责任公司 Automatic identification alarm system for hidden danger level of steel production equipment

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