CN111212147A - All-round data acquisition system of mechanical equipment - Google Patents
All-round data acquisition system of mechanical equipment Download PDFInfo
- Publication number
- CN111212147A CN111212147A CN202010037471.5A CN202010037471A CN111212147A CN 111212147 A CN111212147 A CN 111212147A CN 202010037471 A CN202010037471 A CN 202010037471A CN 111212147 A CN111212147 A CN 111212147A
- Authority
- CN
- China
- Prior art keywords
- data
- mobile phone
- phone terminal
- index data
- background server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses an omnibearing data fixed acquisition device for mechanical equipment, which comprises a data fixed acquisition device, a mobile phone terminal and a background server, wherein the mobile phone terminal is connected with the background server; the data fixed acquisition device independent of the mechanical equipment acquires original data of the equipment, converts the original data into corresponding recognizable index data, and then transmits the index data to the mobile phone terminal; the mobile phone terminal receives the index data, preliminarily calculates and analyzes the index data, and then sends a preliminary decision suggestion instruction to an operator, and meanwhile, the mobile phone terminal receives the index data of the data acquisition unit and then sends the index data to the background server; the background server receives the index data sent by the mobile phone terminal, a decision suggestion is obtained through big data screening, filtering, calculation and analysis, and the background server sends a final decision suggestion instruction to the mobile phone terminal. The technical problem that a data acquisition device does not have strong universality and cannot automatically and periodically acquire state data (temperature, vibration, noise, oil water and the like) information of mechanical (or equipment) parts is solved.
Description
Technical Field
The invention relates to the field of constructional engineering and data acquisition, in particular to an omnibearing data acquisition system for mechanical equipment.
Background
In the machines and equipment used in the construction engineering industry, because the technical, design and manufacturing defects and short plates of the machines and equipment themselves and the functional requirements of supply and demand parties on the same product are different, the construction machinery equipment is different in degree, and some problems inevitably exist:
① the mechanical aspect is the most common loader in construction site, although the engine has water temperature sensor and wheel speed sensor, the water temperature sensor is used to change the passing current through the resistance change of the sensor through the change of its internal resistance value, so as to drive the change of water temperature meter, indirectly tell the working temperature of the engine to the driver, if the temperature exceeds a certain limit value, it means that the engine will be out of order, remind the driver to take measures as soon as possible.
Telling the driver of the mechanical running speed through a wheel speed sensor, telling the driver of the weight of a loader bucket load through an oil pressure sensor, and the like.
② the common air compressor is used as an example in the aspect of equipment, the pressure sensor of the air compressor is the core component for measuring pressure, the normal operation of the air compressor is divided into the processes of air suction, sealing, conveying, compression and air exhaust, the compressed air with higher pressure is conveyed by installing the pressure sensor on the tail end air outlet pipeline, the purpose of controlling the pressure of the compressed air is achieved, and the safety problem is prevented.
The temperature sensor of the air compressor measures the temperature of the air compressor, so that the temperature data is transmitted to the control system of the air compressor under the action of the thermal resistor, the air compressor is effectively protected within the rated temperature, and the service life of the air compressor is prolonged. And the liquid level sensor is used for measuring the liquid level of various liquids in the air compressor, and is suitable for liquid level measurement under special conditions of high temperature, high pressure, strong corrosion, easy crystallization, blockage prevention, cold junction prevention, solid powdery materials, granular materials and the like, on-line state monitoring, equipment failure reduction and the like.
According to countless construction site examples, before the machine or equipment breaks down, the frequency and amplitude of the normal working noise and the generated vibration are within the normal numerical range, and once the part is abnormally worn or works in an overload mode, the working noise and the vibration of a certain part of the machine or equipment are firstly abnormally generated. The prior engineering mechanical equipment has common defects, does not monitor, analyze and transmit vibration and noise,
how to invent a device with strong universality, collect state information (noise, vibration frequency amplitude, oil gas pressure, temperature and the like) of machinery and equipment in real time, feed back data to a machinery (or equipment) computer system by combining with other system integration modules, remind early warning information to a machinery (or equipment) operator through data screening and comparison, and make a corresponding disposal decision.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: according to countless building construction site examples, the conventional engineering machinery equipment has common defects, does not monitor, analyze and transmit equipment state information such as vibration, noise and the like, and the conventional data acquisition device has no strong universality and cannot automatically and periodically acquire the state data (temperature, vibration, noise, oil water and the like) information of mechanical (or equipment) parts.
To solve the above technical problems.
The invention is realized by the following technical scheme:
the omnibearing data acquisition system for mechanical equipment provided by the scheme comprises a data fixed acquisition device, a mobile phone terminal and a background server,
the data fixed acquisition device is independent of mechanical equipment, and is used for acquiring original data of equipment components and converting the original data into corresponding recognizable index data;
the data fixed acquisition device is also used for transmitting the index data to the mobile phone terminal through Bluetooth;
the mobile phone terminal is used for receiving index data transmitted by the data fixed acquisition device through Bluetooth;
the mobile phone terminal is used for pre-judging the index data sent by the data fixed acquisition device;
the mobile phone terminal is also used for displaying a primary decision suggestion instruction and a final decision suggestion instruction;
the background server is used for receiving index data sent by the mobile phone terminal;
the background server is used for judging the index data sent by the mobile phone terminal again to make decision suggestions;
and the background server is also used for sending a final decision suggestion instruction to the mobile phone terminal through the mobile network.
Further preferred scheme be, a mechanical equipment all-round data acquisition system, the process of prejudging include: the mobile phone terminal judges whether the received index data exceeds a preset threshold configuration value, and when the index data exceeds or equals to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction and calls the index data to send the index data to a background server for judging; and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
In a further preferred embodiment, the pre-judgment process of the omnibearing data acquisition system for mechanical equipment further comprises the steps of judging whether the index data exceeds a preset threshold configuration value after the index data is received by the mobile phone terminal, and simultaneously calling the index data by the mobile phone terminal to send the index data to the background server for re-judgment; when the mobile phone terminal judges that the index data exceeds or is equal to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction, and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
Further preferred scheme does, a mechanical equipment all-round data acquisition system, the process of judging again includes:
index data preprocessing process: the background server screens and filters error index data from the mobile phone terminal;
preprocessing index data analysis process: the background server compares the preprocessing index data with the historical sample data, when the preprocessing index data is abnormal, the background server feeds back an early warning final decision instruction to the mobile phone terminal, and when the preprocessing index data is normal, the background server feeds back a normal work final decision instruction to the mobile phone terminal.
The specific process of comparing the preprocessing index data with the historical sample data is as follows:
the method comprises the steps of firstly obtaining slopes between N adjacent discrete data points in historical sample data, obtaining slopes A of two data of real-time preprocessing index data, searching and comparing the slopes between the discrete data points at the moment corresponding to the slopes A, and when the slope difference is too large, determining that the data are abnormal, and when the slope difference is within an allowable range, determining that the data are normal.
The mobile phone terminal receives the index data sent by the data collector through Bluetooth, the index data is pre-judged through an equipment state information processing application program installed in the mobile phone, a preliminary judgment instruction is sent to an operator, the operator can make corresponding action according to the information, the mobile phone terminal stops working, maintenance or continues working, and the preliminary judgment of the mobile phone terminal on the state data is completed in the process. The mobile phone terminal sends the original data sent by the collector to a background server (a big data center), the background server analyzes and processes the data again to form a final decision suggestion, and the final decision suggestion is fed back to the mobile phone terminal, and an operator verifies whether the initial judgment is correct or not according to the final decision information or takes remedial measures.
In a construction site, taking the most common loader as an example, a water temperature sensor and a wheel speed sensor are usually arranged on an engine of the loader, the working temperature of the engine can be indirectly obtained through the water temperature sensor, and loading weight information can be obtained through the wheel speed sensor, but the current loader does not aim at a device for monitoring and analyzing vibration and noise. Before the machine and the equipment are in failure, the normal working noise, the frequency and the amplitude of generated vibration are all in a normal numerical range, once a part is abnormally worn or works in an overload mode, firstly, the working noise and the vibration of a certain part of the machine or the equipment are firstly abnormal, and now for safety, the vibration and the noise of the loader need to be detected and analyzed simultaneously; the conventional method of the technical personnel in the field is to install sensor components on corresponding parts of the loader and correspondingly modify a corresponding control center and an early warning device of the loader, and if a fault occurs in the construction process, an operator can prompt information to make corresponding action through the early warning device of the equipment. Although multi-directional data acquisition is realized, if other state data (temperature, vibration, noise, oil and water and the like) information of mechanical equipment parts needs to be acquired, the whole mechanical control system needs to be modified, and a lot of manpower, material resources and financial resources are consumed. By adopting the technical scheme, the initial data sent by the data collector is received by the mobile phone terminal, and the judgment suggestion instruction is sent to the operator twice in the front and back through the equipment state information processing application program installed in the mobile phone, so that the operator can make corresponding action according to the instruction information. The key point of the scheme is that the control system of the data fixed acquisition device is arranged on the mobile terminal device instead of being arranged on the control system of the mechanical device, so that the cost is saved, if a sensor assembly is required to be added, the sensor assembly can be directly adsorbed between the corresponding mechanical part and the data sensor, and then corresponding configuration information is added on the mobile phone terminal.
After receiving the index data sent by the data collector, the mobile phone terminal respectively pushes a preliminary decision suggestion instruction and a final decision suggestion instruction for the operator twice, namely, a two-level method is used for carrying out hierarchical analysis on the state data; the mobile phone terminal performs pre-judgment on the index data and then displays a preliminary judgment instruction to form a first-stage analysis on the state description data, and the background server performs re-judgment on the index data and sends a final decision suggestion instruction back to the mobile phone terminal to be displayed to form a second-stage analysis on the state description data; under the general condition, the data fixed acquisition device can directly send acquired initial data to the background server after conversion, the background server directly makes decision suggestion instructions through analysis and operation, and the process belongs to a first-level method for analyzing state data. Compared with the state data analysis of the primary method, the final decision suggestion instruction of the state data level analysis by using the secondary method is data which is subjected to screening analysis processing by a big data center, and the final decision suggestion instruction is more referential; in the final decision suggestion instruction forming process, index data needs to be sent to a background server through a mobile phone terminal, so that certain delay exists, and signals can not be transmitted in time due to remote operation environment, no network signals and the like; when an emergency fault occurs, because the two-stage method carries out the first-stage analysis on the state data hierarchical analysis, an operator can firstly take measures to continue working or stop the machine for maintenance according to the preliminary decision suggestion instruction of the mobile phone terminal, so that the safety is improved; the index data sent by the mobile phone terminal to the background server enriches the basic data in the big data, so that the data of the data center is richer, the decision result of analysis and processing is closer to the actual situation, and the practical value is stronger and stronger.
Further preferred scheme be, a mechanical equipment all-round data acquisition system, data fixed acquisition device include: the data acquisition device is characterized in that the data acquisition device is fixed on an equipment part by 3 adsorption discs in an adsorption mode, and at least one group of sensors are connected between the equipment part and the data acquisition device. The data acquisition unit drives the sensor to acquire data at fixed time intervals. The data acquisition unit has the function of charging, utilizes the lithium cell to provide the electric energy for data acquisition unit, can guarantee the power supply of collector continuous operation 24 hours at least.
At least one group of sensors are connected to equipment parts, a plurality of groups of sensors are arranged on machinery or equipment, comprehensive state data (temperature, vibration, noise, oil water and the like) of the machinery and the equipment can be acquired at the same time, and the sensors are connected to the equipment parts and are convenient to detach and install; the data fixed collector drives each sensor to collect the state data of the machine or equipment discontinuously, can automatically and periodically collect the state data information of the machine part, and has strong universality. For example, a data acquisition unit is fixed on a common air compressor, at least three sensors, namely a pressure sensor, a temperature sensor and a liquid level sensor, are installed, and the data acquisition unit drives the sensors to acquire measurement data of the pressure, the temperature and various liquid levels of the air compressor at fixed time intervals (every 5 seconds or 10 seconds) so as to detect whether the air compressor has a fault or not in real time.
Further preferred scheme be, a mechanical equipment all-round data acquisition system, the backstage server: namely, a large data center, which is generally a dispatching command center located at the location of an engineering project.
A background server: namely, a big data center is generally arranged in a dispatching command center of the location of an engineering project, and a background server has the following functions: (1) receiving data sent by a mobile phone terminal through a mobile network or a WIFI signal; (2) and (3) judging the index data: automatically screening and filtering error data, automatically reinforcing learning, calculating and analyzing historical data, mastering and updating a data dynamic change rule, forming a judgment rule and making a decision; (3) and sending a final decision suggestion to the mobile phone terminal.
The omnibearing data acquisition system for the mechanical equipment is a system with strong universality, can acquire state information (liquid level, noise, vibration frequency amplitude, oil gas pressure, temperature and the like) of the mechanical equipment in real time, is combined with other system integration modules, feeds back data to a mobile phone terminal and a mechanical equipment computer system, screens and compares the data through pre-judgment of the mobile phone terminal and re-judgment of a background server, and reminds mechanical (or equipment) operators of two-time early warning information to make corresponding disposal decisions.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention provides an omnibearing data acquisition system for mechanical equipment, which is provided with a sensor capable of being attached to an equipment acquisition position, can automatically and periodically acquire state data information of mechanical parts, and has stronger universality in the engineering and building industry.
2. The invention provides an omnibearing data acquisition system for mechanical equipment, which is connected with a mobile phone terminal of an operator through Bluetooth and feeds back equipment information to the operator, is provided with an external service interface, can be integrated with other application systems, and feeds back data to a computer.
3. The invention provides an all-round data acquisition system of mechanical equipment.A mobile phone terminal pushes secondary decision suggestions to an operator from front to back, namely a secondary method carries out hierarchical analysis on state data, so that the data of a data center is richer, the decision result of analysis and processing is closer to the actual situation, the practical value is stronger and stronger, and the accuracy and the real-time performance of decision information are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention.
In the drawings:
FIG. 1 is a schematic view of a data acquisition system according to the present invention
FIG. 2 is a schematic diagram of data transmission embodied in a data acquisition system according to the present invention.
Fig. 3 is a schematic view of the data fixed acquisition device of the present invention.
Reference numbers and corresponding part names in fig. 3:
1-data acquisition unit, 2-sensor A, 3-adsorption disk, 4-mechanical part, 5-sensor B, 6-sensor C, 7-sensor D.
Fig. 4 is a schematic diagram of a mobile phone terminal pre-judgment process in the invention.
Fig. 5 is a schematic diagram of a mobile phone terminal pre-judgment process in the invention.
FIG. 6 is a diagram of a comparative example of a data center re-determination preprocessing index according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
The invention provides an omnibearing data acquisition system for mechanical equipment, which comprises a fixed data acquisition device, a mobile phone terminal and a background server, as shown in figure 1. And the data acquisition unit in the data fixed acquisition device is used for acquiring the original data of the equipment and converting the original data into corresponding recognizable index data, and then the data acquisition unit transmits the index data to the mobile phone terminal through Bluetooth. The mobile phone terminal is used for receiving the index data transmitted by the data fixed acquisition device through Bluetooth; pre-judging the data, displaying a preliminary decision suggestion instruction and a final decision suggestion instruction before and after the data is displayed, and simultaneously calling index data to transmit the index data to a background server; the background server is used for receiving the index data sent by the mobile phone terminal, judging the index data sent by the mobile phone terminal and making a final decision suggestion; and finally, the background server sends a final decision suggestion instruction to the mobile phone terminal through the mobile network.
As shown in a specific data transmission schematic diagram of the data acquisition system in fig. 2, after receiving index data sent by the data acquisition device, the mobile phone terminal respectively pushes a preliminary decision suggestion instruction and a final decision suggestion instruction for the operator twice, i.e., performs hierarchical analysis on state data by using a two-level method; the mobile phone terminal pre-judges the index data transmitted by the data acquisition unit and then displays a preliminary judgment instruction to form a first-stage analysis of the state description data; the background server judges the index data transmitted by the mobile phone terminal again and sends a final decision suggestion instruction back to the mobile phone terminal to form a second-level analysis of the state description data; the mobile phone terminal pushes decision suggestion instructions twice to an operator, and the decision suggestion instructions are based on the following steps: (1) the final decision suggestion instruction is data which is subjected to screening analysis processing by a big data center, and is more referential; (2) the final decision suggestion instruction sends data to the background server through the mobile phone terminal, so that certain delay exists, the signals can not be transmitted in time due to remote operation environment, no network signal and the like, and if an emergency fault occurs, an operator can firstly take measures to continue working or stop the machine for maintenance according to the preliminary decision suggestion instruction; (3) the index data sent by the mobile phone terminal to the background server enriches the basic data in the big data, so that the data of the data center is richer, the decision result of analysis and processing is closer to the actual situation, and the practical value is stronger and stronger.
As shown in fig. 3, the data fixed collecting device is independent of mechanical equipment, and includes collectors 1 and 4 groups of sensors (sensor A2, sensor B5, sensor C6 and sensor D7), a suction disc 3, and a data collector 1 which is sucked on a mechanical equipment component by 3 suction discs 3, wherein four groups of sensors are respectively connected between the equipment component and the data collector 1. The data acquisition unit 1 drives the sensor A, the sensor B, the sensor C and the sensor D to acquire data at fixed time intervals.
The pre-determination process shown in fig. 4 includes: the mobile phone terminal judges whether the received index data exceeds a preset threshold configuration value, and when the index data exceeds or equals to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction and calls the index data to send the index data to a background server for judging; and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
As shown in fig. 5, the pre-determination process further includes determining, by the mobile phone terminal, whether the index data exceeds a preset threshold configuration value after receiving the index data, and meanwhile, calling, by the mobile phone terminal, the index data to send to the background server for re-determination; when the mobile phone terminal judges that the index data exceeds or is equal to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction, and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
The judging process comprises the following steps:
index data preprocessing process: the background server screens and filters error index data from the mobile phone terminal;
preprocessing index data analysis process: the background server compares the preprocessing index data with the historical sample data, when the preprocessing index data is abnormal, the background server feeds back an early warning final decision instruction to the mobile phone terminal, and when the preprocessing index data is normal, the background server feeds back a normal work final decision instruction to the mobile phone terminal.
The specific process of comparing the preprocessing index data with the historical sample data is as follows:
the method comprises the steps of firstly obtaining slopes between N adjacent discrete data points in historical sample data, obtaining slopes A of two data of real-time preprocessing index data, searching and comparing the slopes between the discrete data points at the moment corresponding to the slopes A, and when the slope difference is too large, determining that the data are abnormal, and when the slope difference is within an allowable range, determining that the data are normal.
As shown in fig. 6, in the history example, the slope between the discrete data points in the period 500-600 is 2, the slope of the two data of the real-time preprocessing index data at the corresponding time is 2.1, and if the slope difference is within the allowable range, the data is regarded as abnormal.
The collector has the following functions of ① driving and receiving sensor data, ② having a Bluetooth connection function and sending data to a mobile phone terminal of an operator, ③ charging function, supplying electric energy to the collector by using a lithium battery, and at least ensuring that the collector can continuously work for 24 hours according to a use scene, ④ having a data conversion function and converting original data of the sensor into corresponding recognizable index data, for example, converting data of a temperature sensor into centigrade, converting data of a vibration sensor into frequency and amplitude, converting data of a noise sensor into decibel and the like.
The mobile phone terminal receives initial data sent by the collector through Bluetooth, and sends a preliminary judgment instruction to an operator through an equipment state information processing application program installed in the mobile phone, and the operator can perform corresponding actions according to the information, shut down, maintain or continue working. The mobile phone terminal sends the original data sent by the collector to a background server (a big data center) at the same time, the background server analyzes and processes the data again to form a final decision suggestion, the final decision suggestion is fed back to the mobile phone terminal, and an operator verifies whether the initial judgment is correct or not according to the final decision information or takes remedial measures.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. An omnibearing data acquisition system for mechanical equipment is characterized by comprising a data fixed acquisition device, a mobile phone terminal and a background server,
the data fixed acquisition device is independent of mechanical equipment, and is used for acquiring original data of the adsorption equipment components and converting the original data into corresponding recognizable index data;
the data fixed acquisition device is also used for transmitting the index data to the mobile phone terminal through Bluetooth;
the mobile phone terminal is used for receiving index data transmitted by the data fixed acquisition device through Bluetooth;
the mobile phone terminal is used for pre-judging the index data sent by the data fixed acquisition device;
the mobile phone terminal is also used for displaying a primary decision suggestion instruction and a final decision suggestion instruction;
the background server is used for receiving index data sent by the mobile phone terminal;
the background server is used for judging the index data sent by the mobile phone terminal again to make decision suggestions;
and the background server is also used for sending a final decision suggestion instruction to the mobile phone terminal through the mobile network.
2. The mechanical equipment omnibearing data acquisition system according to claim 1, wherein the pre-judging process comprises: the mobile phone terminal judges whether the received index data exceeds a preset threshold configuration value, and when the index data exceeds or equals to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction and calls the index data to send the index data to a background server for judging; and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
3. The omnibearing data acquisition system of mechanical equipment according to claim 1, wherein the pre-judging process includes that the mobile phone terminal judges whether the index data exceeds a preset threshold configuration value after receiving the index data, and meanwhile, the mobile phone terminal calls the index data to send the index data to the background server for re-judgment; when the mobile phone terminal judges that the index data exceeds or is equal to the preset threshold configuration value, the mobile phone terminal displays an early warning preliminary decision suggestion instruction, and when the index data does not exceed the preset threshold configuration value, the mobile phone terminal displays a normal operation preliminary decision suggestion instruction.
4. The mechanical device omni-directional data acquisition system according to claim 1, wherein the re-judging process comprises:
index data preprocessing process: the background server screens and filters error index data from the mobile phone terminal;
preprocessing index data analysis process: the background server compares the preprocessing index data with the historical sample data, when the preprocessing index data is abnormal, the background server feeds back an early warning final decision instruction to the mobile phone terminal, and when the preprocessing index data is normal, the background server feeds back a normal work final decision instruction to the mobile phone terminal.
5. The omnibearing data acquisition system of mechanical equipment according to claim 4, wherein the specific process of comparing the preprocessed index data with the historical sample data is as follows:
the method comprises the steps of firstly obtaining slopes between N adjacent discrete data points in historical sample data, obtaining slopes A of two data of real-time preprocessing index data, searching and comparing the slopes between the discrete data points at the moment corresponding to the slopes A, and when the slope difference is too large, determining that the data are abnormal, and when the slope difference is within an allowable range, determining that the data are normal.
6. The omnibearing data acquisition system for mechanical equipment according to claim 1, wherein the data fixed acquisition device comprises: the device comprises a data acquisition unit (1), N sensors (2) and an adsorption disc (3); the data acquisition device is characterized in that the data acquisition device (1) is adsorbed on a mechanical equipment part by an adsorption disc sucker (3), and at least one group of sensors (2) is connected between the equipment part and the data acquisition device (1).
7. The omnibearing data acquisition system of mechanical equipment according to claim 6, wherein the data acquisition unit (1) drives the sensor (2) to acquire data at regular time intervals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010037471.5A CN111212147A (en) | 2020-01-14 | 2020-01-14 | All-round data acquisition system of mechanical equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010037471.5A CN111212147A (en) | 2020-01-14 | 2020-01-14 | All-round data acquisition system of mechanical equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111212147A true CN111212147A (en) | 2020-05-29 |
Family
ID=70786679
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010037471.5A Pending CN111212147A (en) | 2020-01-14 | 2020-01-14 | All-round data acquisition system of mechanical equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111212147A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114189932A (en) * | 2021-11-15 | 2022-03-15 | 国能大渡河猴子岩发电有限公司 | Construction real-time monitoring management system without GPS signal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150292937A1 (en) * | 2014-04-15 | 2015-10-15 | International Business Machines Corporation | Integrated, predictive vibration analysis of rotational machine within electronics rack |
| CN107212897A (en) * | 2017-08-02 | 2017-09-29 | 沈阳东康智能科技有限公司 | Vehicular human health data collecting system and health monitoring method based on cloud platform |
| CN108391086A (en) * | 2018-02-27 | 2018-08-10 | 山东大学 | Fusion event perceives the industrial video linkage analysis method and system with position sensing |
| CN110133536A (en) * | 2018-02-08 | 2019-08-16 | 奥库瑞特有限公司 | Determine system, the method and apparatus of the index of battery group object internal leakage electric current |
| CN110371815A (en) * | 2019-07-04 | 2019-10-25 | 安徽中科福瑞科技有限公司 | A kind of on-demand maintenance system of elevator based on Internet of Things |
-
2020
- 2020-01-14 CN CN202010037471.5A patent/CN111212147A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150292937A1 (en) * | 2014-04-15 | 2015-10-15 | International Business Machines Corporation | Integrated, predictive vibration analysis of rotational machine within electronics rack |
| CN107212897A (en) * | 2017-08-02 | 2017-09-29 | 沈阳东康智能科技有限公司 | Vehicular human health data collecting system and health monitoring method based on cloud platform |
| CN110133536A (en) * | 2018-02-08 | 2019-08-16 | 奥库瑞特有限公司 | Determine system, the method and apparatus of the index of battery group object internal leakage electric current |
| CN108391086A (en) * | 2018-02-27 | 2018-08-10 | 山东大学 | Fusion event perceives the industrial video linkage analysis method and system with position sensing |
| CN110371815A (en) * | 2019-07-04 | 2019-10-25 | 安徽中科福瑞科技有限公司 | A kind of on-demand maintenance system of elevator based on Internet of Things |
Non-Patent Citations (1)
| Title |
|---|
| 洪英汉等: "工业机器人远程故障监测与预警系统", 《科技视界》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114189932A (en) * | 2021-11-15 | 2022-03-15 | 国能大渡河猴子岩发电有限公司 | Construction real-time monitoring management system without GPS signal |
| CN114189932B (en) * | 2021-11-15 | 2024-01-16 | 国能大渡河猴子岩发电有限公司 | Real-time monitoring management system for construction without GPS signal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108760361B (en) | Shield tunneling machine fault monitoring and early warning system and method | |
| CN204897229U (en) | Traveling state real -time monitoring system | |
| CN112863116B (en) | Intelligent diagnosis and alarm display method for deflagration of coal pulverizing system of thermal power plant | |
| CN102346466A (en) | Remote monitoring device for metal sawing machines | |
| CN107902515A (en) | A kind of traction and forcibly driving elevator real time on-line safety monitoring system and its implementation | |
| CN209118121U (en) | Motor and connecting transmission mechanism running state monitoring device | |
| CN109210269B (en) | Take monitoring system's water hammer air valve | |
| CN111179545A (en) | Person anti-suffocation device in vehicle | |
| CN111212147A (en) | All-round data acquisition system of mechanical equipment | |
| CN114487361A (en) | Oil on-line monitoring system | |
| CN114738132A (en) | Supercharger speed sensor fault diagnosis method and system based on real ship data | |
| CN109839235B (en) | Large-scale roller circumferential weld fatigue failure online monitoring and early warning device and method | |
| CN112379614B (en) | Motor foundation monitoring method and system for subway escalator | |
| CN205910321U (en) | Motor on -line monitoring system | |
| CN114944165A (en) | Mine belt fault diagnosis system based on audio analysis technology | |
| CN114819214A (en) | Intelligent management and maintenance platform and method for electromechanical equipment on highway | |
| CN113586960A (en) | Petroleum pipeline conveying monitoring system | |
| CN117166970B (en) | Remote monitoring system and method for tower type pumping unit | |
| CN112032547A (en) | Online real-time monitoring method for piston blockage and jamming in operation of gas chamber | |
| CN217354862U (en) | Main fan monitoring and diagnosis system | |
| CN108980619B (en) | Industrial circulating water safe operation detection system and detection method thereof | |
| CN210457134U (en) | Automatic monitoring system of mine hoist | |
| CN217010902U (en) | Remote equipment operating condition monitoring device | |
| CN112146698B (en) | Method for monitoring state of driving wheel | |
| CN215813023U (en) | Sub-meter electricity metering device for environment protection electricity utilization facilities |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200529 |
|
| RJ01 | Rejection of invention patent application after publication |