A device monitoring digital early warning system and method

Abstract

The application relates to a device monitoring digital early warning system and method, belonging to the technical field of device monitoring, which comprises a sensor module, a monitoring module and an early warning module; the sensor module comprises multiple sensors arranged at preset positions of a device to be monitored; the monitoring module is configured to monitor device data collected by the multiple sensors; based on an early warning threshold, device data collected by a single sensor is monitored according to a first strategy within a monitoring period to obtain a first monitoring result, and the early warning threshold and the length of the monitoring period are updated each time the first monitoring result is abnormal; based on the updated early warning threshold under the first strategy, device data collected by the multiple sensors is processed according to a second strategy to obtain a second monitoring result; the early warning module is configured to output a single-stage alarm signal when the first monitoring result is abnormal, and output a comprehensive alarm signal when the second monitoring result is abnormal, so that operating personnel can receive effective early warning information more timely to perform corresponding processing.

Description

TECHNICAL FIELD

[0001] The present application relates to a device monitoring digital early warning system and method, belonging to the technical field of device monitoring. BACKGROUND

[0002] The early warning system of the prior art mostly performs early warning by recording the device data collected by the sensors, and triggers an alarm when the device data exceeds the early warning threshold. However, in actual operation, this will generate a large number of interference alarm signals, which not only affects the safety judgment of the workers, but also causes unnecessary interference to the normal operation of the device. Because in actual operation, on the one hand, there are abnormal value interferences of the sensors, which cause the sensor data to exceed the early warning threshold instantaneously, and on the other hand, due to the complexity of the work process, there are often short-time overload working conditions, which may cause the sensor data of a certain sensor to slightly exceed the early warning threshold at a certain moment or in a short period of time. However, in fact, the device is not really in trouble in these cases, and in most cases, the device is within the safe range of bearing. At this time, issuing an alarm will have an adverse effect on normal operation. SUMMARY

[0003] The purpose of the present application is to provide a device monitoring digital early warning system and method. The system monitors the device data collected by a single sensor through a first strategy with an early warning threshold update mechanism, can timely identify potential risks and issue early warnings, effectively avoid generating interference alarm signals, and use a second strategy with an updated early warning threshold for multi-level alarm, so as to timely identify the serious risks that may exist when multiple sensors exceed the limit at the same time.

[0004] In a first aspect, the present application provides a device monitoring digital early warning system, comprising:

[0005] a sensor module comprising a plurality of sensors arranged at preset positions of a device to be monitored;

[0006] a monitoring module configured to monitor the device data collected by the plurality of sensors; based on an early warning threshold, the device data collected by a single sensor is monitored according to a first strategy to obtain a first monitoring result within a monitoring period, and the early warning threshold and the length of the monitoring period are updated each time the first monitoring result is abnormal; based on the updated early warning threshold under the first strategy, the device data collected by the plurality of sensors is processed according to a second strategy to obtain a second monitoring result;

[0007] an early warning module configured to output a single-level alarm signal when the first monitoring result is abnormal, and output a comprehensive alarm signal when the second monitoring result is abnormal.

[0008] Optionally, the monitoring of the device data collected by the single sensor according to the first strategy comprises:

[0009] If the cumulative over-limit duration of the device data collected by the sensor exceeding the early warning threshold has reached a preset duration threshold, or the cumulative over-limit times of the device data collected by the sensor exceeding the early warning threshold has reached a preset times threshold, the current time is recorded as an alarm time, it is determined that the first monitoring result is abnormal, otherwise it is determined that the first monitoring result is normal.

[0010] Optionally, the preset duration threshold and the preset times threshold are positively correlated with the monitoring period duration.

[0011] Optionally, when the first monitoring result is determined to be abnormal, the early warning module outputs a single-level alarm signal; in response to the single-level alarm signal, the actuator related to the sensor that appears abnormal is automatically adjusted according to a first processing rule, and after the automatic adjustment is completed, the early warning threshold and the monitoring period duration are updated and the next monitoring period is entered.

[0012] Optionally, updating the early warning threshold and the monitoring period duration comprises:

[0013] dividing the monitoring period into a plurality of continuous monitoring intervals;

[0014] determining the monitoring interval to which the alarm time belongs as a target interval;

[0015] determining an alarm level according to the target interval;

[0016] updating the early warning threshold and the monitoring period duration according to the alarm level, and the lowering ratio of the early warning threshold and the shortening ratio of the next monitoring period are positively correlated with the alarm level during the updating.

[0017] Optionally, the duration of the next monitoring period is also updated when the early warning threshold is updated, and the shortening ratio of the monitoring period duration is positively correlated with the alarm level during the updating.

[0018] Optionally, the processing of the device data collected by the plurality of sensors according to the second strategy comprises:

[0019] setting a dangerous threshold above the early warning threshold, the dangerous threshold being a preset multiple of the early warning threshold;

[0020] If less than or equal to the preset number of pieces of equipment data among all the equipment data collected by the plurality of sensors exceeds the corresponding early warning threshold value, and all the equipment data do not exceed the corresponding danger threshold value, it is determined that the second monitoring result is mildly abnormal; if more than the preset number of pieces of equipment data among all the equipment data collected by the plurality of sensors exceeds the corresponding early warning threshold value, or the equipment data collected by one sensor exceeds the danger threshold value, it is determined that the second monitoring result is severely abnormal; otherwise, it is determined that the second monitoring result is normal.

[0021] Optionally, when the second monitoring result is mildly abnormal, the warning module outputs a mild comprehensive alarm signal, and in response to the mild comprehensive alarm signal, the second processing rule is used to automatically adjust the actuators related to all the abnormal sensors, and the equipment data collected by the abnormal sensors is recorded every preset time interval; if the second monitoring result is still mildly abnormal after a preset adjustment time, all operations are immediately stopped and a comprehensive check is performed.

[0022] When the second monitoring result is severely abnormal, the warning module outputs a severe comprehensive alarm signal, and in response to the severe comprehensive alarm signal, all operations are immediately stopped and a comprehensive check is performed.

[0023] Optionally, the sensors include:

[0024] a tension sensor arranged at a load connection position of the equipment to collect a load;

[0025] a laser ranging sensor arranged on a lifting path of a lifting member of the equipment to collect a height and a speed of the lifting member;

[0026] an inclination sensor arranged at a rotating member of the equipment to collect an inclination.

[0027] Optionally, a mathematical expression of the second monitoring result obtained by processing the equipment data collected by the plurality of sensors according to the second strategy is:

[0028] ;

[0029] wherein, is a constructor, is a unit step function, outputs 1 when the independent variable x>0, and otherwise outputs 0, and the alert level represents a multi-level alarm output value; represents the load, represents an updated early warning threshold value corresponding to the load, represents the height, represents an updated early warning threshold value corresponding to the height, represents the speed, represents an updated early warning threshold value corresponding to the speed, represents the inclination. an updated early warning threshold corresponding to the inclination angle.

[0030] In a second aspect, the present application provides a device monitoring digital early warning method, comprising:

[0031] monitoring device data collected by a plurality of sensors;

[0032] based on the early warning threshold, monitoring the device data collected by a single sensor according to a first strategy to obtain a first monitoring result in a monitoring period, and updating the early warning threshold and the length of the monitoring period each time the first monitoring result is abnormal;

[0033] based on the updated early warning threshold under the first strategy, processing the device data collected by the plurality of sensors according to a second strategy to obtain a second monitoring result;

[0034] outputting a single-level alarm signal when the first monitoring result is abnormal, and outputting a comprehensive alarm signal when the second monitoring result is abnormal.

[0035] Compared with the prior art, the present application has the following beneficial effects:

[0036] The present application monitors the device data collected by a single sensor in a monitoring period through the first strategy with the early warning threshold updating mechanism, avoids triggering interference alarm due to transient or short-time over-limit of the device data collected by the sensor, and through the real-time updated early warning threshold, discovers potential problems as soon as possible to trigger early warning for the sensor that has already issued an alarm. And based on the updated early warning threshold, the second strategy is adopted for multi-level alarm, so as to timely identify the serious risk that may exist when a plurality of sensors are over-limit at the same time. The present application realizes single-level alarm under the first strategy and multi-level alarm under the second strategy, so that the operator can receive effective early warning information more timely when there is a problem with the device to perform corresponding processing. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 The figure shows the structure of a device monitoring digital early warning system. DETAILED DESCRIPTION

[0038] It should be noted that the technical solutions of the present application are described in detail below by means of the drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solutions of the present application, rather than limitations of the technical solutions of the present application. In the case of no conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other. The term "and / or" is only used to describe the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B, which means that there are three kinds of situations, that is, A exists alone, A and B exist together, and B exists alone. In addition, the character " / " generally represents an "or" relationship between the front and rear associated objects.

[0039] In combination Figure 1 , the present embodiment provides a device monitoring digital early warning system, which comprises a sensor module, a monitoring module and an early warning module connected by a wireless communication device. The monitoring module comprises a monitoring screen and a control box, and the sensor module comprises a plurality of sensors arranged at preset positions of the device to be monitored. In a specific embodiment, the sensors comprise a tension sensor (a pin shaft type tension sensor is selected in the present embodiment), a laser ranging sensor and an inclination sensor. The tension sensor is arranged at the load connection position of the device to collect the load; the laser ranging sensor is arranged on the lifting path of the lifting member of the device to collect the height and speed of the lifting member; and the inclination sensor is arranged on the rotating member of the device to collect the inclination.

[0040] The monitoring screen is configured with an application communication terminal, which is used to collect and analyze the device data collected by the sensor module; the control box is configured with a wireless communication device and a power supply system, and the wireless communication device is used to receive the signals of the tension sensor and the inclination sensor. The monitoring module is connected by a wireless communication device and a wireless AP local area network, the tension sensor is in communication connection with the application terminal through the wireless communication device, the laser ranging sensor is in communication connection with the application terminal through a wired communication device, and the inclination sensor is in communication connection with the application terminal through the wireless communication device.

[0041] As a specific application example, the device is a lifting transportation device and is applied to the installation of an ultra-high voltage DC converter valve device. The tension sensor is installed at the four corner lifting positions of the lifting transportation device to monitor the load of the lifting transportation device, the laser ranging sensor is installed at the bottom of the four corners of the lifting transportation device to monitor the height and speed of the lifting transportation device, and the inclination sensor is installed inside the four corners of the lifting transportation device to monitor the inclination degree of the lifting transportation device.

[0042] Taking the lifting transportation device and application in installation of UHVDC converter valve equipment as an example, four equipment data of load, height, speed and inclination need to be monitored in the installation process, and each parameter needs to set corresponding early warning threshold value, as a specific example, the initial early warning threshold value of each parameter is shown in Table 1 as follows:

[0043] Table 1 Initial setting early warning threshold table of equipment data

[0044]

[0045] According to Table 1, the early warning threshold value of load is 8.5t, the early warning threshold value of height is 40m, the early warning threshold value of speed is 3m / min, and the early warning threshold value of inclination is 10°. If the fixed threshold strategy is adopted, for each sensor, if the collected equipment data exceeds the corresponding early warning threshold value, the early warning needs to be triggered, and the mathematical expression is as follows:

[0046]

[0047] Among them, represents the load, represents the early warning threshold value corresponding to the load, represents the height, represents the early warning threshold value corresponding to the height, represents the speed, represents the height difference value, represents the time difference value, represents the early warning threshold value corresponding to the speed, represents the inclination, and respectively represent the x-axis horizontal inclination and y-axis horizontal inclination, represents the early warning threshold value corresponding to the inclination.

[0048] But in the actual operation process, such a large number of interference alarm signals will be generated, which not only affects the safety judgment of the workers, but also causes unnecessary interference to the normal work of the equipment. Because in the actual operation process, on the one hand, there are abnormal value interference of sensors, and the data slightly exceeds the early warning threshold value, on the other hand, due to the complexity of the work process, there are often short-time overload working conditions, at this time, a sensor may appear data slightly exceeding the early warning threshold value at a certain moment or in a short period of time, but in fact, the equipment is not really in trouble, and in most cases, the equipment is within the safe range of load bearing, and there is no need to trigger the alarm signal.

[0049] ​The monitoring module in the embodiment monitors the device data collected by the single sensor according to a first strategy to obtain a first monitoring result in a monitoring period. In addition to initially setting the early warning threshold of the sensor, the monitoring period is also initially set. In order to cope with the situation that the single sensor may have abnormal value interference or short-time overload working condition interference at a certain moment or in a short period, the single-stage alarm of the single sensor is monitored in a period to avoid interference alarm signals.

[0050] Specifically, in each monitoring period, if the cumulative over-limit duration of the device data collected by the sensor exceeding the early warning threshold has reached a preset duration threshold, or the cumulative over-limit times of the device data collected by the sensor exceeding the early warning threshold has reached a preset times threshold (the preset duration threshold and the preset times threshold are positively correlated with the monitoring period duration; as a specific embodiment, the preset duration threshold and the preset times threshold are proportional to the monitoring period duration), the current time is recorded as an alarm time and the first monitoring result is determined as abnormal, otherwise the first monitoring result is determined as normal.

[0051] The single sensor is monitored in the embodiment based on the monitoring period. If the cumulative over-limit duration of the device data collected by the sensor exceeding the early warning threshold has reached a preset duration threshold, it means that it is not an interference situation at a certain moment or in a short period, at this time, there is a high probability that there is indeed an actual problem and needs to be warned. In addition, in some actual working conditions, although the cumulative over-limit duration does not reach the preset duration threshold, the collected device data exceeding the early warning threshold occurs multiple times, at this time, there is also a high probability that there is indeed an actual problem and needs to be warned. The above strategy can timely warn the actual problem and effectively avoid interference alarm signals.

[0052] Further, when the first monitoring result is determined as abnormal, the early warning module outputs a single-stage alarm signal; in response to the single-stage alarm signal, an actuator related to the sensor that appears abnormal is automatically adjusted (such as sending feedback signals of “reducing speed”, “adjusting position inclination”, “lowering height”, etc.) according to a first processing rule to make the device data collected by the sensor normal, and the early warning threshold and the monitoring period duration are updated after the automatic adjustment is completed and the next monitoring period is entered. According to the analysis result of the actual data, even if the related automatic adjustment is performed after the single sensor appears abnormal warning, the probability of subsequent abnormality is greater than that of other sensors that do not appear abnormal warning, especially in a short period of time, it may appear more serious problems again.

[0053] Therefore, for this case, the embodiment will update the early warning threshold and the monitoring period length after the automatic adjustment is completed and then enter the next monitoring period, and through this updating mechanism, the early warning strategy of a single sensor can be dynamically optimized and adjusted to timely warn of actual problems as much as possible, thereby ensuring the safe use of the equipment.

[0054] For the updating mechanism, the updating of the early warning threshold and the monitoring period length includes: dividing the monitoring period into a plurality of continuous monitoring intervals; determining the monitoring interval to which the alarm time belongs as a target interval; determining an alarm level according to the target interval, the closer the target interval is to the start of the monitoring period, the higher the alarm level; and updating the early warning threshold and the monitoring period length according to the alarm level, wherein the lowering ratio of the early warning threshold and the shortening ratio of the next monitoring period are both positively correlated with the alarm level.

[0055] For a sensor that has already appeared abnormal, the strategy adopted by the embodiment is to lower the early warning threshold and shorten the monitoring period length, and lowering the early warning threshold can discover problems as soon as possible to trigger early warning, and shortening the monitoring period length makes the preset time threshold and the preset number threshold corresponding to it decrease, so that single-level alarm is more likely to be triggered when the sensor is in an over-limit state to predict potential risks as much as possible, thereby ensuring the safety of work.

[0056] Further, the early warning system of the embodiment adopts a periodical monitoring strategy for a single sensor and is provided with an updating mechanism, so as to timely identify potential risks and give early warning while effectively avoiding interference with the alarm signal. However, for comprehensive alarm considering multiple sensors, the embodiment still adopts a monitoring strategy of instantaneous response, because multiple sensors have a small probability of simultaneously appearing instantaneous abnormal values, and multiple sensors simultaneously appearing over-limit means that the device may have a more serious problem, so the monitoring strategy of instantaneous response can more timely alert to ensure the safety of the equipment.

[0057] Specifically, the second strategy is based on the updated early warning threshold under the first strategy, and the step of obtaining the second monitoring result by processing the device data collected by the plurality of sensors according to the second strategy includes: setting a danger threshold above the early warning threshold, the danger threshold being a preset multiple (1.2 times in this embodiment) of the early warning threshold; if all the device data collected by the plurality of sensors are below the corresponding early warning threshold or only a single device data exceeds the corresponding early warning threshold, it is determined that the second monitoring result is normal; if less than or equal to a preset number of device data among all the device data collected by the plurality of sensors exceeds the corresponding early warning threshold, and all the device data do not exceed the corresponding danger threshold, it is determined that the second monitoring result is mildly abnormal; if more than a preset number of device data among all the device data collected by the plurality of sensors exceeds the corresponding early warning threshold, or there is a device data exceeding the danger threshold, it is determined that the second monitoring result is severely abnormal.

[0058] With reference to a specific application example, when the sensors include a tension sensor (a pin shaft type tension sensor is selected in this embodiment), a laser ranging sensor and an inclination sensor, the mathematical expression for processing the device data collected by the plurality of sensors to obtain the second monitoring result in the second strategy is:

[0059] ;

[0060] wherein, is a constructor, is a unit step function, outputting 1 when the independent variable x>0, otherwise outputting 0, and Alert level represents the multi-level alarm output value; represents the load, represents the updated early warning threshold corresponding to the load, represents the height, represents the updated early warning threshold corresponding to the height, represents the speed, represents the updated early warning threshold corresponding to the speed, represents the inclination, represents the updated early warning threshold corresponding to the inclination, and the preset number is 2 in this application example.

[0061] When Alert level is equal to 0, it indicates that the second monitoring result is normal, when Alert level is equal to 1, it indicates that the second monitoring result is mildly abnormal, the early warning module outputs a mild comprehensive alarm signal, and when Alert level is equal to 2, it indicates that the second monitoring result is severely abnormal, the early warning module outputs a severe comprehensive alarm signal.

[0062] Taking the lifting transportation device as a specific application example, the sensor includes a tension sensor (a pin shaft type tension sensor is selected in the embodiment), a laser ranging sensor, and an inclination sensor, and device data of monitoring parameters includes four items of load, height, speed, and inclination. When the multi-stage alarm output value is 0, it is indicated that all monitoring parameters are in a safe threshold range or a single monitoring parameter is abnormal (the operator can already know this through single-stage alarm, and therefore no additional prompt is given in multi-stage alarm), and normal lifting operation is allowed, and the sound and light alarm combination display is green and always on, and the operator still needs to maintain a normal inspection frequency.

[0063] When the multi-stage alarm output value is 1, it is indicated that two monitoring parameters have exceeded corresponding warning thresholds, and all monitoring parameters have not exceeded dangerous thresholds above the corresponding warning thresholds, the sound and light alarm combination display is yellow and flashes + intermittent beeping, at this time the controller outputs feedback signals such as "slow down", "adjust inclination", "lower height", etc. to the corresponding actuators of the sensors, to realize automatic dynamic adjustment of the posture of the lifting transportation device, and the operator needs to record the device data changes of the abnormal sensor every 30 seconds, if the multi-stage alarm output value still does not return from 1 to 0 (the second monitoring result does not return from mild abnormality to normal) after 3 minutes, the operation needs to be stopped in time, and the lifting transportation device returns to the ground for comprehensive inspection.

[0064] When the multi-stage alarm output value is 2, it is indicated that two or more monitoring parameters have exceeded corresponding warning thresholds or there is a single monitoring parameter that exceeds a dangerous threshold above the corresponding warning threshold, the sound and light alarm combination display is red and rotates and flashes + continuous alarm, at this time the lifting transportation device triggers automatic emergency stop, all manual operations are locked, and the entire lifting transportation device automatically descends, starts the device self-checking and diagnosing mode, and after all problems are excluded and all monitoring parameters are normal, manually resets the system to continue normal work.

[0065] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0066] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0067] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0068] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0069] The embodiments of the present application described above are merely intended to illustrate the present application, but not to limit the present application. The above described embodiments are merely illustrative, but not limiting, and any person skilled in the art can make many modifications without departing from the spirit and scope of the present application, and these modifications are also within the scope of the present application.

Claims

1. A device monitoring digital early warning system, characterized by: The system comprises: a sensor module comprising a plurality of sensors arranged at preset positions of a device to be monitored; a monitoring module configured to monitor device data collected by the plurality of sensors; based on a warning threshold, monitoring device data collected by a single sensor according to a first strategy in a monitoring period to obtain a first monitoring result, and updating the warning threshold and the length of the monitoring period each time the first monitoring result is abnormal; based on the updated warning threshold under the first strategy, processing device data collected by the plurality of sensors according to a second strategy to obtain a second monitoring result; a warning module configured to output a single-level alarm signal when the first monitoring result is abnormal, and output a comprehensive alarm signal when the second monitoring result is abnormal; monitoring device data collected by a single sensor according to a first strategy in a monitoring period to obtain a first monitoring result comprises: if the cumulative over-limit duration of device data collected by the sensor exceeding the warning threshold has reached a preset duration threshold, or the cumulative over-limit times of device data collected by the sensor exceeding the warning threshold has reached a preset times threshold, recording the current time as an alarm time, determining that the first monitoring result is abnormal, otherwise determining that the first monitoring result is normal; the preset duration threshold and the preset times threshold are positively correlated with the length of the monitoring period; updating the warning threshold and the length of the monitoring period comprises: dividing the monitoring period into a plurality of continuous monitoring intervals; determining the monitoring interval to which the alarm time belongs as a target interval; determining an alarm level according to the target interval; updating the warning threshold and the length of the monitoring period according to the alarm level, and the reduction ratio of the warning threshold and the shortening ratio of the next monitoring period are positively correlated with the alarm level; processing device data collected by the plurality of sensors according to a second strategy to obtain a second monitoring result comprises: setting a danger threshold above the warning threshold, the danger threshold being a preset multiple of the warning threshold; if less than or equal to a preset number of device data among all device data collected by the plurality of sensors exceeds the corresponding warning threshold, and all device data does not exceed the corresponding danger threshold, determining that the second monitoring result is mildly abnormal; if more than a preset number of device data among all device data collected by the plurality of sensors exceeds the corresponding warning threshold, or there is one device data exceeding the danger threshold, determining that the second monitoring result is severely abnormal; otherwise, determining that the second monitoring result is normal.

2. A device monitoring digital early warning system according to claim 1, characterized in that: When the first monitoring result is determined to be abnormal, the warning module outputs a single-level alarm signal; in response to the single-level alarm signal, automatically adjusting the actuator related to the abnormal sensor according to a first processing rule, updating the warning threshold and the length of the monitoring period after the automatic adjustment is completed, and entering the next monitoring period.

3. The device monitoring digital warning system of claim 1, wherein: When the second monitoring result is slightly abnormal, the early warning module outputs a slight comprehensive alarm signal, and in response to the slight comprehensive alarm signal, all abnormal sensor-related actuators are automatically adjusted according to a second processing rule, and the device data changes collected by the abnormal sensors are recorded every preset time, and if the second monitoring result is still slightly abnormal after a preset adjustment time, all operations are immediately stopped and a comprehensive check is performed; When the second monitoring result is severely abnormal, the early warning module outputs a severe comprehensive alarm signal, and in response to the severe comprehensive alarm signal, all operations are immediately stopped and a comprehensive check is performed.

4. The equipment monitoring digital early warning system of claim 1, wherein: The sensors include: a tension sensor arranged at a load connection position of the device to collect the load; a laser ranging sensor arranged on a lifting path of a lifting member of the device to collect the height and speed of the lifting member; an inclination sensor arranged on a rotating member of the device to collect the inclination.

5. A device monitoring digital early warning system according to claim 4, characterized in that: The mathematical expression of the second monitoring result obtained by processing the device data collected by the plurality of sensors according to the second strategy is: ； wherein, is a constructor, is a unit step function, output 1 when the independent variable x>0, otherwise output 0, Alert level represents the multi-level alarm output value; represents the load, represents the updated early warning threshold corresponding to the load, represents the height, represents the updated early warning threshold corresponding to the height, represents the speed, represents the updated early warning threshold corresponding to the speed, represents the inclination, represents the updated early warning threshold corresponding to the inclination.

6. A method of equipment monitoring digital early warning, characterized in that, The early warning method applied to the device monitoring digital early warning system of any one of claims 1-5 comprises: monitoring the device data collected by the plurality of sensors; based on the early warning threshold, monitoring the device data collected by a single sensor according to a first strategy to obtain a first monitoring result within a monitoring period, and updating the early warning threshold and the monitoring period length each time the first monitoring result is abnormal; based on the updated early warning threshold under the first strategy, processing the device data collected by the plurality of sensors according to a second strategy to obtain a second monitoring result; outputting a single-level alarm signal when the first monitoring result is abnormal, and outputting a comprehensive alarm signal when the second monitoring result is abnormal.

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