CN118164394A - Lifting device with autonomous maintenance function and control system - Google Patents
Lifting device with autonomous maintenance function and control system Download PDFInfo
- Publication number
- CN118164394A CN118164394A CN202410566423.3A CN202410566423A CN118164394A CN 118164394 A CN118164394 A CN 118164394A CN 202410566423 A CN202410566423 A CN 202410566423A CN 118164394 A CN118164394 A CN 118164394A
- Authority
- CN
- China
- Prior art keywords
- lifting device
- analysis
- risk
- lifting
- value
- 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
- 238000012423 maintenance Methods 0.000 title claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 147
- 238000000034 method Methods 0.000 claims abstract description 39
- 238000004364 calculation method Methods 0.000 claims abstract description 13
- 238000004891 communication Methods 0.000 claims abstract description 8
- 238000012502 risk assessment Methods 0.000 claims description 13
- 238000011156 evaluation Methods 0.000 abstract description 8
- 230000002159 abnormal effect Effects 0.000 abstract description 7
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000012935 Averaging Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Landscapes
- Forklifts And Lifting Vehicles (AREA)
Abstract
The invention belongs to the field of lifting control, relates to a data analysis technology, and is used for solving the problem that the lifting speed of a lifting device cannot be controlled according to an evaluation result in the prior art, in particular to a lifting device with an autonomous maintenance function and a control system, and the lifting device comprises a stress analysis module, a risk evaluation module and a speed control module, wherein the stress analysis module and the risk evaluation module are both in communication connection with the speed control module, the risk evaluation module is also in communication connection with an operation display module, and the operation display module comprises multicolor signal lamps arranged on two sides of the front surface of a chassis; according to the invention, the stress analysis can be carried out on the table top of the lifting device, the stress states of all the pressure plates of the table top in the analysis period are analyzed, then the average value calculation is carried out by combining the dynamic values of all the pressure plates to obtain the dynamic coefficient, and the dynamic stress state in the lifting process of the table top is evaluated through the dynamic coefficient, so that the speed reduction control is timely carried out when the dynamic stress state is abnormal.
Description
Technical Field
The invention belongs to the field of lifting control, relates to a data analysis technology, and particularly relates to a lifting device with an autonomous maintenance function and a control system.
Background
The lifting device can be customized according to the requirements of users. The method is applied to the high-altitude operation and maintenance of factories, automatic warehouses, parking lots, municipal administration, wharfs, buildings, decoration, logistics, electric power, traffic, petroleum, chemical industry, hotels, gymnasiums, industrial and mining, enterprises and the like.
Lifting device and control system among the prior art can't carry out the aassessment to lifting device's operating stability and operation risk in the lift in-process to can't control lifting device's lifting speed according to the evaluation result, the risk when leading to lifting device to operate can't obtain effective control.
The application provides a solution to the technical problem.
Disclosure of Invention
The invention aims to provide a lifting device with an autonomous maintenance function and a control system, which are used for solving the problem that the lifting speed of the lifting device cannot be controlled according to an evaluation result in the prior art;
the technical problems to be solved by the invention are as follows: how to provide a lifting device with an autonomous maintenance function and a control system which can control the lifting speed of the lifting device according to the evaluation result.
The aim of the invention can be achieved by the following technical scheme:
The control system of the lifting device with the autonomous maintenance function comprises a stress analysis module, a risk assessment module and a speed control module, wherein the stress analysis module and the risk assessment module are both in communication connection with the speed control module;
The stress analysis module is used for carrying out stress analysis on a table top (2) of the lifting device, obtaining a dynamic coefficient of the lifting device, judging whether the dynamic stress state of the lifting device meets the requirement or not according to the dynamic coefficient, and sending a speed reducing control signal to the speed control module when the dynamic stress state of the lifting device does not meet the requirement;
The risk assessment module is used for assessing and analyzing the lifting risk of the lifting device and sending a speed reduction control signal or a stable stop signal to the speed control module when the running risk does not meet the requirement;
the speed control module is used for controlling the lifting speed of the lifting device.
The process for acquiring the dynamic coefficient of the lifting device comprises the following steps: marking a pressure plate (6) of a table top (2) as an analysis object, marking a lifting process and a descending process of a lifting device as analysis processes, dividing the analysis processes into a plurality of analysis time periods, marking pressure values acquired by a pressure sensor of the analysis object as load values of the analysis object, and acquiring load difference data ZC and interval data JG of the analysis object in the analysis time periods; and marking the ratio of the carrier difference data ZC to the interval data JG as the dynamic value of the analysis object in the analysis period, and summing the dynamic values of all the analysis objects in the analysis period to obtain the dynamic coefficient.
As a preferred embodiment of the present invention, the acquisition process of the carrier difference data ZC includes: marking the maximum value and the minimum value of the load value of the analysis object in the analysis period as a load high value and a load low value respectively, and marking the difference value of the load high value and the load low value as load difference data ZC; the acquisition process of the interval data JG comprises the following steps: the time when the load value of the analysis object reaches the load high value and the load low value is respectively marked as the load high time and the load low time, and the time length of the time period formed by the load high time and the load low time is marked as interval data JG.
As a preferred embodiment of the invention, the specific process for judging whether the dynamic stress state of the lifting device meets the requirement comprises the following steps: comparing the dynamic coefficient with a preset dynamic threshold value: if the dynamic coefficient is smaller than the dynamic threshold value, judging that the dynamic stress state of the table top (2) of the lifting device meets the requirement; if the dynamic coefficient is greater than or equal to the dynamic threshold value, judging that the dynamic stress state of the table top (2) of the lifting device does not meet the requirement.
As a preferred embodiment of the present invention, the lifting risk of the lifting device is evaluated and analyzed: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, and performing numerical calculation to obtain a risk coefficient FX of the lifting device in the analysis period; and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX.
As a preferred embodiment of the present invention, the process of acquiring the load data FZ includes: marking the average value of the load values of the analysis objects in the analysis period as the load representation value of the analysis objects, and summing the load representation values of all the analysis objects in the analysis period to obtain load data FZ; the uniform data JY is a variance calculation value of the load expression value of all analysis objects in the analysis period, and the height data GD is a height value of the table top (2) at the end time of the analysis period.
As a preferred embodiment of the invention, the risk assessment module is also in communication connection with an operation display module, and the operation display module comprises multicolor signal lamps arranged on two sides of the front surface of the underframe (1);
The specific process for judging whether the running risk of the lifting device meets the requirement comprises the following steps: comparing the risk coefficient FX of the lifting device in the analysis period with preset risk thresholds FXmin and Ffmax: if FX is less than or equal to FXmin, judging that the running risk of the lifting device in the analysis period meets the requirement, generating a risk normal signal and sending the risk normal signal to the running display module, and controlling the multicolor signal lamp to be on green after the running display module receives the risk normal signal; if FXmin is less than FX is less than FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a deceleration control signal, sending the deceleration control signal to a running display module and a speed control module, and controlling the multicolor signal lamp to be bright yellow after the running display module receives the deceleration control signal; if FX is more than or equal to FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a stable stop signal, sending the stable stop signal to the running display module and the speed control module, and controlling the multicolor signal lamp to turn on red after the running display module receives the stable stop signal.
As a preferred embodiment of the present invention, after receiving the deceleration control signal, the speed control module obtains the lifting speed of the lifting device in the current analysis period and marks the lifting speed as a lifting value SS, obtains a new speed value SSn by the formula ssn=t1×ss, and adjusts the lifting speed of the lifting device in the next analysis period to the new speed value SSn; the speed control module receives the stable stop signal and then generates a temporary stop time period with the duration of M1 seconds, controls the lifting speed of the lifting device to drop at a constant speed in the temporary stop time period, and enables the lifting speed to reach zero at the end time of the temporary stop time period.
As a preferred embodiment of the present invention, the operation method of the control system of the lifting device with an autonomous maintenance function includes the steps of:
step one: carrying out stress analysis on a table top of the lifting device: marking a pressure plate of the table top as an analysis object, summing the dynamic values of all the analysis objects in an analysis period, taking an average value to obtain a dynamic coefficient, and judging whether the dynamic stress state of the lifting device in the analysis period meets the requirement or not through the dynamic coefficient;
Step two: evaluating and analyzing the lifting risk of the lifting device: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, performing numerical calculation to obtain a risk coefficient FX of the lifting device, and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX;
step three: and controlling the lifting speed of the lifting device when the dynamic stress state of the lifting device in the analysis period does not meet the requirement or the running risk does not meet the requirement.
As a preferred implementation mode of the invention, the lifting device with the autonomous maintenance function comprises an underframe (1) and a table top (2), wherein a plurality of pressure plates (6) are embedded in the top surface of the table top (2), pressure sensors are arranged on the pressure plates (6), two groups of support rods (3) are symmetrically arranged between the underframe (1) and the table top (2), the number of each group of support rods (3) is two, each group of two support rods (3) is arranged in an X-shaped manner, the middle parts of each group of two support rods (3) are connected through connecting pins (4), and one side of the top surface of the underframe (1) is provided with a hydraulic cylinder (5), and the output end of the hydraulic cylinder (5) is connected with the support rods (3) through cylinder pins.
The invention has the following beneficial effects:
1. The stress analysis module can be used for carrying out stress analysis on the table top of the lifting device, analyzing the stress states of all pressure plates of the table top in an analysis period, then carrying out average value calculation by combining the dynamic values of all the pressure plates to obtain a dynamic coefficient, and evaluating the dynamic stress state of the table top in the lifting process through the dynamic coefficient so as to timely carry out deceleration control when the dynamic stress state is abnormal;
2. The risk assessment module can be used for assessing and analyzing the lifting risk of the lifting device, comprehensively analyzing and calculating a plurality of operation parameters of the lifting device in an analysis period to obtain a risk coefficient, thereby assessing the risk of the lifting device in the lifting process through the risk coefficient, selecting a treatment measure according to the abnormal degree of the risk, and further improving the operation stability of the lifting device;
3. The lifting speed of the lifting device can be controlled through the speed control module, the lifting speed at the end moment of the analysis period is used as the basis for carrying out deceleration control or stable stop control, so that the accident probability of the lifting device can be reduced in a speed control mode when the risk of the table top is abnormal, and the lifting safety of the lifting device is ensured.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
Fig. 3 is a flowchart of a method according to a third embodiment of the present invention.
In the figure: 1. a chassis; 2. a table top; 3. a support rod; 4. a connecting pin; 5. a hydraulic cylinder; 6. and a pressure plate.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the lifting device with the autonomous maintenance function comprises an underframe 1 and a table top 2, wherein two groups of support rods 3 are symmetrically arranged between the underframe 1 and the table top 2, the number of each group of support rods 3 is two, each group of two support rods 3 is arranged in an X shape, the middle parts of each group of two support rods 3 are connected through a connecting pin 4, a hydraulic cylinder 5 is arranged on one side of the top surface of the underframe 1, and the output end of the hydraulic cylinder 5 is connected with the support rods 3 through a cylinder pin;
A plurality of pressure plates 6 are embedded in the top surface of the table top 2, and pressure sensors are arranged on the pressure plates 6.
Example two
As shown in fig. 2, a control system of a lifting device with an autonomous maintenance function comprises a stress analysis module, a risk assessment module and a speed control module, wherein the stress analysis module and the risk assessment module are all in communication connection with the speed control module, the risk assessment module is also in communication connection with an operation display module, and the operation display module comprises multicolor signal lamps arranged on two sides of the front surface of a chassis 1.
The stress analysis module is used for carrying out stress analysis on the table top 2 of the lifting device: the method comprises the steps of marking a pressure plate 6 of a table top 2 as an analysis object, marking a lifting process and a descending process of a lifting device as analysis processes, dividing the analysis process into a plurality of analysis time periods, marking a pressure value acquired by a pressure sensor of the analysis object as a load value of the analysis object, acquiring load difference data ZC and interval data JG of the analysis object in the analysis time periods, wherein the acquisition process of the load difference data ZC comprises the following steps: marking the maximum value and the minimum value of the load value of the analysis object in the analysis period as a load high value and a load low value respectively, and marking the difference value of the load high value and the load low value as load difference data ZC; the acquisition process of the interval data JG comprises the following steps: marking the time when the load value of the analysis object reaches the load high value and the load low value as load high time and load low time respectively, and marking the time length of a time period formed by the load high time and the load low time as interval data JG; marking the ratio of the carrier difference data ZC to the interval data JG as the dynamic value of the analysis object in the analysis period, summing the dynamic values of all the analysis objects in the analysis period, averaging to obtain a dynamic coefficient, and comparing the dynamic coefficient with a preset dynamic threshold value: if the dynamic coefficient is smaller than the dynamic threshold value, judging that the dynamic stress state of the table top 2 of the lifting device meets the requirement; if the dynamic coefficient is greater than or equal to the dynamic threshold value, judging that the dynamic stress state of the table top 2 of the lifting device does not meet the requirement, generating a deceleration control signal and sending the deceleration control signal to a speed control module; the table top 2 of the lifting device is subjected to stress analysis, stress states of all pressure plates 6 of the table top 2 in an analysis period are analyzed, then the dynamic values of all the pressure plates 6 are combined to perform average calculation to obtain dynamic coefficients, and the dynamic stress states of the table top 2 in the lifting process are evaluated through the dynamic coefficients, so that the speed reduction control is timely performed when the dynamic stress states are abnormal.
The risk assessment module is used for assessing and analyzing the lifting risk of the lifting device: the load data FZ, the uniform data JY and the height data GD are acquired at the end time of the analysis period, and the acquisition process of the load data FZ comprises the following steps: marking the average value of the load values of the analysis objects in the analysis period as the load representation value of the analysis objects, and summing the load representation values of all the analysis objects in the analysis period to obtain load data FZ; the uniform data JY is a variance calculation value of the load representation value of all analysis objects in the analysis period, and the height data GD is a height value of the table top 2 at the end time of the analysis period; obtaining a risk coefficient FX of the lifting device in an analysis period through a formula, wherein k1, k2 and k3 are proportionality coefficients, and k1 is more than k2 and k3 is more than 1; comparing the risk coefficient FX of the lifting device in the analysis period with preset risk thresholds FXmin and Ffmax: if FX is less than or equal to FXmin, judging that the running risk of the lifting device in the analysis period meets the requirement, generating a risk normal signal and sending the risk normal signal to the running display module, and controlling the multicolor signal lamp to be on green after the running display module receives the risk normal signal; if FXmin is less than FX is less than FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a deceleration control signal, sending the deceleration control signal to a running display module and a speed control module, and controlling the multicolor signal lamp to be bright yellow after the running display module receives the deceleration control signal; if FX is more than or equal to FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a stable stop signal, sending the stable stop signal to a running display module and a speed control module, and controlling the multicolor signal lamp to turn on red after the running display module receives the stable stop signal; and (3) carrying out evaluation analysis on the lifting risk of the lifting device, and carrying out comprehensive analysis and calculation on a plurality of operation parameters of the lifting device in an analysis period to obtain risk coefficients, so that the risk in the lifting process of the lifting device is evaluated through the risk coefficients, and a treatment measure is selected according to the abnormal degree of the risk, so that the operation stability of the lifting device is further improved.
The speed control module is used for controlling the lifting speed of the lifting device: after receiving the deceleration control signal, the speed control module acquires the lifting speed of the lifting device in the current analysis period and marks the lifting speed as a lifting value SS, obtains a new speed value SSn through a formula SSn=t1×SS, and adjusts the lifting speed of the lifting device in the next analysis period to be the new speed value SSn; the speed control module receives the stable stop signal and then generates a temporary stop time period with the duration of M1 seconds, controls the lifting speed of the lifting device to drop at a constant speed in the temporary stop time period, and enables the lifting speed to reach zero at the end time of the temporary stop time period; the lifting speed of the lifting device is controlled, and the speed reduction control or the stable stop control is carried out based on the lifting speed at the end time of the analysis period, so that the accident probability of the lifting device can be reduced in a speed control mode when the risk of the table top 2 is abnormal, and the lifting safety of the lifting device is ensured.
Example III
As shown in fig. 3, a control method of a lifting device with an autonomous maintenance function includes the following steps:
Step one: carrying out stress analysis on a table top 2 of the lifting device: marking a pressure plate 6 of the table top 2 as an analysis object, summing the dynamic values of all the analysis objects in an analysis period, averaging to obtain a dynamic coefficient, and judging whether the dynamic stress state of the lifting device in the analysis period meets the requirement or not through the dynamic coefficient;
Step two: evaluating and analyzing the lifting risk of the lifting device: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, performing numerical calculation to obtain a risk coefficient FX of the lifting device, and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX;
step three: and controlling the lifting speed of the lifting device when the dynamic stress state of the lifting device in the analysis period does not meet the requirement or the running risk does not meet the requirement.
When the lifting device with the autonomous maintenance function and the control system are in operation, the pressure plate 6 of the table top 2 is marked as an analysis object, the dynamic values of all the analysis objects in an analysis period are summed and averaged to obtain a dynamic coefficient, and whether the dynamic stress state of the lifting device in the analysis period meets the requirement is judged through the dynamic coefficient; evaluating and analyzing the lifting risk of the lifting device: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, performing numerical calculation to obtain a risk coefficient FX of the lifting device, and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX; and controlling the lifting speed of the lifting device when the dynamic stress state of the lifting device in the analysis period does not meet the requirement or the running risk does not meet the requirement.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula (VI); Collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding risk coefficient for each group of sample data; substituting the set risk coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of k1, k2 and k3 which are respectively 4.25, 2.86 and 2.32;
The size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding risk coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the risk coefficient is directly proportional to the value of the load data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The control system of the lifting device with the autonomous maintenance function is characterized by comprising a stress analysis module, a risk assessment module and a speed control module, wherein the stress analysis module and the risk assessment module are both in communication connection with the speed control module;
The stress analysis module is used for carrying out stress analysis on the table top of the lifting device and obtaining a dynamic coefficient of the lifting device, judging whether the dynamic stress state of the lifting device meets the requirement or not according to the dynamic coefficient, and sending a deceleration control signal to the speed control module when the dynamic stress state of the lifting device does not meet the requirement;
The risk assessment module is used for assessing and analyzing the lifting risk of the lifting device and sending a speed reduction control signal or a stable stop signal to the speed control module when the running risk does not meet the requirement;
the speed control module is used for controlling the lifting speed of the lifting device.
2. The control system of a lifting device with autonomous maintenance function according to claim 1, wherein the process of obtaining the dynamic coefficient of the lifting device comprises: marking a pressure plate of a table top as an analysis object, marking a lifting process and a descending process of a lifting device as analysis processes, dividing the analysis processes into a plurality of analysis time periods, marking a pressure value acquired by a pressure sensor of the analysis object as a load value of the analysis object, and acquiring load difference data ZC and interval data JG of the analysis object in the analysis time periods; and marking the ratio of the carrier difference data ZC to the interval data JG as the dynamic value of the analysis object in the analysis period, and summing the dynamic values of all the analysis objects in the analysis period to obtain the dynamic coefficient.
3. The control system of a lifting device with an autonomous maintenance function according to claim 2, wherein the process of acquiring the carrier difference data ZC comprises: marking the maximum value and the minimum value of the load value of the analysis object in the analysis period as a load high value and a load low value respectively, and marking the difference value of the load high value and the load low value as load difference data ZC; the acquisition process of the interval data JG comprises the following steps: the time when the load value of the analysis object reaches the load high value and the load low value is respectively marked as the load high time and the load low time, and the time length of the time period formed by the load high time and the load low time is marked as interval data JG.
4. A control system for a lifting device with autonomous maintenance function as defined in claim 3, wherein the specific process of determining whether the dynamic stress state of the lifting device meets the requirement comprises: comparing the dynamic coefficient with a preset dynamic threshold value: if the dynamic coefficient is smaller than the dynamic threshold value, judging that the dynamic stress state of the table top of the lifting device meets the requirement; if the dynamic coefficient is greater than or equal to the dynamic threshold value, judging that the dynamic stress state of the table top of the lifting device does not meet the requirement.
5. The control system of a lifting device with autonomous maintenance function according to claim 4, wherein the risk of lifting of the lifting device is evaluated and analyzed: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, and performing numerical calculation to obtain a risk coefficient FX of the lifting device in the analysis period; and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX.
6. The control system of a lifting device with autonomous maintenance function according to claim 5, wherein the process of acquiring the load data FZ comprises: marking the average value of the load values of the analysis objects in the analysis period as the load representation value of the analysis objects, and summing the load representation values of all the analysis objects in the analysis period to obtain load data FZ; the uniform data JY is a variance calculation value of the load expression value of all analysis objects in the analysis period, and the height data GD is a height value of the table top at the end time of the analysis period.
7. The control system of the lifting device with the autonomous maintenance function according to claim 6, wherein the risk assessment module is further in communication connection with an operation display module, and the operation display module comprises multicolor signal lamps arranged on two sides of the front surface of the underframe;
The specific process for judging whether the running risk of the lifting device meets the requirement comprises the following steps: comparing the risk coefficient FX of the lifting device in the analysis period with preset risk thresholds FXmin and Ffmax: if FX is less than or equal to FXmin, judging that the running risk of the lifting device in the analysis period meets the requirement, generating a risk normal signal and sending the risk normal signal to the running display module, and controlling the multicolor signal lamp to be on green after the running display module receives the risk normal signal; if FXmin is less than FX is less than FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a deceleration control signal, sending the deceleration control signal to a running display module and a speed control module, and controlling the multicolor signal lamp to be bright yellow after the running display module receives the deceleration control signal; if FX is more than or equal to FXmax, judging that the running risk of the lifting device in the analysis period does not meet the requirement, generating a stable stop signal, sending the stable stop signal to the running display module and the speed control module, and controlling the multicolor signal lamp to turn on red after the running display module receives the stable stop signal.
8. The control system of a lifting device with an autonomous maintenance function according to claim 7, wherein after receiving a deceleration control signal, the speed control module obtains a lifting speed of the lifting device in a current analysis period and marks the lifting speed as a lifting value SS, obtains a new speed value SSn by a formula ssn=t1×ss, and adjusts the lifting speed of the lifting device in a next analysis period to the new speed value SSn; the speed control module receives the stable stop signal and then generates a temporary stop time period with the duration of M1 seconds, controls the lifting speed of the lifting device to drop at a constant speed in the temporary stop time period, and enables the lifting speed to reach zero at the end time of the temporary stop time period.
9. A control system for a lifting device with autonomous maintenance function as defined in any of claims 2-8, characterized in that the working method of the control system for a lifting device with autonomous maintenance function comprises the following steps:
step one: carrying out stress analysis on a table top of the lifting device: marking a pressure plate of the table top as an analysis object, summing the dynamic values of all the analysis objects in an analysis period, taking an average value to obtain a dynamic coefficient, and judging whether the dynamic stress state of the lifting device in the analysis period meets the requirement or not through the dynamic coefficient;
Step two: evaluating and analyzing the lifting risk of the lifting device: acquiring load data FZ, uniform data JY and height data GD at the end time of an analysis period, performing numerical calculation to obtain a risk coefficient FX of the lifting device, and judging whether the running risk of the lifting device meets the requirement or not through the risk coefficient FX;
step three: and controlling the lifting speed of the lifting device when the dynamic stress state of the lifting device in the analysis period does not meet the requirement or the running risk does not meet the requirement.
10. The control system of the lifting device with the autonomous maintenance function according to any one of claims 2 to 8, wherein the lifting device with the autonomous maintenance function comprises a bottom frame and a table top, a plurality of pressure plates are embedded in the top surface of the table top, pressure sensors are arranged on the pressure plates, two groups of supporting rods are symmetrically arranged between the bottom frame and the table top, the number of each group of supporting rods is two, each group of two supporting rods is arranged in an X shape, the middle parts of each group of two supporting rods are connected through connecting pins, a hydraulic cylinder is arranged on one side of the top surface of the bottom frame, and the output end of the hydraulic cylinder is connected with the supporting rods through cylinder pins.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410566423.3A CN118164394A (en) | 2024-05-09 | 2024-05-09 | Lifting device with autonomous maintenance function and control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410566423.3A CN118164394A (en) | 2024-05-09 | 2024-05-09 | Lifting device with autonomous maintenance function and control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118164394A true CN118164394A (en) | 2024-06-11 |
Family
ID=91356892
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410566423.3A Pending CN118164394A (en) | 2024-05-09 | 2024-05-09 | Lifting device with autonomous maintenance function and control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118164394A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109739252A (en) * | 2019-01-26 | 2019-05-10 | 珠海达明科技有限公司 | A kind of submarine load-carrying feedback AGV lifting platform and its unbalance loading auto-correction method |
| CN209853642U (en) * | 2019-04-24 | 2019-12-27 | 北京旷视机器人技术有限公司 | Weighing assembly for mobile robot and mobile robot comprising same |
| US20200317492A1 (en) * | 2019-04-05 | 2020-10-08 | Oshkosh Corporation | Systems and methods for limiting operation of a lift device |
| CN113666314A (en) * | 2021-09-16 | 2021-11-19 | 合肥亚美科技有限责任公司 | Self-propelled scissor aerial work platform weight measuring system |
| CN116331990A (en) * | 2023-05-30 | 2023-06-27 | 河南省黄河防爆起重机有限公司 | Elevator speed detection device and unbalanced load prevention and self-balancing system based on same |
| KR102605242B1 (en) * | 2023-01-16 | 2023-11-23 | 황영학 | Car lift with automatic balancing function and Car lifting method |
| CN117990274A (en) * | 2024-01-29 | 2024-05-07 | 浙江工业大学 | Gravity center detection method and gravity center adjustment method for scissor mechanism |
-
2024
- 2024-05-09 CN CN202410566423.3A patent/CN118164394A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109739252A (en) * | 2019-01-26 | 2019-05-10 | 珠海达明科技有限公司 | A kind of submarine load-carrying feedback AGV lifting platform and its unbalance loading auto-correction method |
| US20200317492A1 (en) * | 2019-04-05 | 2020-10-08 | Oshkosh Corporation | Systems and methods for limiting operation of a lift device |
| CN209853642U (en) * | 2019-04-24 | 2019-12-27 | 北京旷视机器人技术有限公司 | Weighing assembly for mobile robot and mobile robot comprising same |
| CN113666314A (en) * | 2021-09-16 | 2021-11-19 | 合肥亚美科技有限责任公司 | Self-propelled scissor aerial work platform weight measuring system |
| KR102605242B1 (en) * | 2023-01-16 | 2023-11-23 | 황영학 | Car lift with automatic balancing function and Car lifting method |
| CN116331990A (en) * | 2023-05-30 | 2023-06-27 | 河南省黄河防爆起重机有限公司 | Elevator speed detection device and unbalanced load prevention and self-balancing system based on same |
| CN117990274A (en) * | 2024-01-29 | 2024-05-07 | 浙江工业大学 | Gravity center detection method and gravity center adjustment method for scissor mechanism |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114911209B (en) | Garlic processing wastewater treatment management system based on data analysis | |
| CN115389854B (en) | Safety monitoring system and method for direct-current power supply system | |
| CN105391168B (en) | Transformer load real-time control method | |
| CN116934303B (en) | Temperature and humidity resistant polyurethane adhesive performance detection system for new energy automobile battery packaging | |
| CN115603453B (en) | Take intelligent monitoring system's direct current generating line group control device | |
| CN115063100A (en) | Data analysis-based implementation cost management and control system for road construction project | |
| CN116800517A (en) | Data acquisition intelligent management system based on data analysis | |
| CN117495111B (en) | Building engineering safety management system based on BIM technology | |
| CN112947637A (en) | Office environment intelligent regulation system | |
| CN116088613A (en) | Constant-temperature intelligent heating and ventilation control system | |
| CN109087016A (en) | Harbour gantry crane power-save operation quantization assessment method and system | |
| CN118164394A (en) | Lifting device with autonomous maintenance function and control system | |
| CN112414576A (en) | Factory environment temperature detection system based on wireless sensor network | |
| CN114757600A (en) | Heavy film inflation film manufacturing machine operation analysis management and control system based on data analysis | |
| CN104578412B (en) | A kind of detection method of the condition detecting system based on big data technology | |
| CN104598970B (en) | Method for detecting work state of climbing frame group | |
| CN115857594B (en) | Chip manufacturing site environment intelligent management and control system based on artificial intelligence | |
| CN116962469A (en) | Wisdom garden electric energy monitoring management system | |
| CN113800352B (en) | Elevator braking moment detection method and device | |
| CN115576239A (en) | Alternating current-direct current power supply intelligent control system based on artificial intelligence | |
| CN115153164A (en) | A healthy bracelet for high altitude safety work control | |
| CN116165991A (en) | Simulation detection system for controller of electric control system of scissor lifting platform | |
| CN113515861A (en) | Casting system for smelting regenerated copper plate | |
| CN113091808A (en) | Chemical industry industrial control instrument with comprehensive information management system and system thereof | |
| CN112255959A (en) | Intelligent building safety management system based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination |