Device operation monitoring system for wood processing

Abstract

This invention discloses an equipment operation monitoring system for wood processing, specifically relating to the field of equipment monitoring technology. The system monitors the working parameters, operating parameters, and environmental parameters of the wood processing equipment in real time. After processing the monitored parameters, the actual deviation coefficients of each parameter are obtained. These deviation coefficients are compared with the allowable deviation coefficients of the corresponding parameters to determine whether adjustment is needed. This achieves multi-angle data monitoring of the processing equipment, improving the accuracy of equipment anomaly detection and control. When the target parameter meets the control conditions, it is adjusted. The control buffer time is compared with the set maximum control buffer time to determine if there is a control anomaly, achieving automated control, reducing manual reaction time, improving the efficiency of equipment control, and to a certain extent reducing quality damage in wood processing.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring technology, and more specifically, to an equipment operation monitoring system for wood processing. Background Technology

[0002] In the traditional wood processing industry, equipment monitoring usually relies on manual inspection or simple sensor monitoring. With the development of new technologies, manual inspection has gradually fallen behind the needs of modern production, and intelligent equipment operation monitoring is imperative.

[0003] The existing equipment operation monitoring system for wood processing is equipped with multiple cameras to capture the display parameters of the equipment during operation. The captured display parameters are compared with the standard parameters set for processing to determine if there is a deviation. If a deviation is found, an early warning is sent to the control center. After receiving the early warning, the control center will remotely control the equipment with the deviation. Compared with traditional manual inspection, this saves a lot of manpower and reduces the possibility of missing production and processing abnormalities.

[0004] However, the above system still has some problems: simply capturing the display parameters of the equipment by the camera cannot directly determine that the equipment is operating normally. The range of equipment operation data should be expanded to improve the accuracy of equipment anomaly detection. When it is determined that the equipment needs to be adjusted, an alarm should be sent to the control center first, and then the control center should make remote adjustments. This requires a certain reaction time. In addition, the adjustment behavior itself has a buffer time, which may lead to damage to the quality of wood processing due to untimely adjustment. The adjustment reaction time should be reduced as much as possible to stabilize the wood processing operation environment as soon as possible. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide an equipment operation monitoring system for wood processing to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an equipment operation monitoring system for wood processing, comprising:

[0007] Processing plan information retrieval module: Used to retrieve pre-defined timber processing plans and obtain information on equipment used in timber processing, environmental parameters, and planned production information;

[0008] Equipment Inspection Module: Before starting work on each production day, inspect whether the model of the processing equipment used, the set equipment working parameters, and the equipment combination method are consistent with the equipment information used in the formulated wood processing plan, and calculate the equipment application standard coefficient based on the inspection results;

[0009] Wood processing online monitoring module: used to monitor the working parameters of processing equipment, operating parameters of processing equipment, and processing environment parameters in real time during the wood processing process;

[0010] Equipment control judgment module: After processing the monitored parameters, the actual deviation coefficient of each parameter is obtained, and it is compared with the allowable deviation coefficient of the corresponding parameter to determine whether the parameter needs to be controlled.

[0011] The intelligent control module for equipment adjusts the parameters when they meet the control conditions, compares the control buffer time used with the set maximum control buffer time to determine if there is any control abnormality, and automatically backs up the control results.

[0012] Equipment anomaly diagnosis module: When an anomaly is detected, it automatically connects to the network to analyze the source of the anomaly and sends the anomaly analysis results to the equipment operation and maintenance module;

[0013] Equipment operation and maintenance module: used to maintain the equipment used in wood processing, automatically record the downtime of each piece of equipment during regular maintenance and the number of pieces of equipment that need to be maintained and the downtime of equipment during abnormal maintenance;

[0014] Equipment data integration module: Integrates various equipment data during the production cycle, and calculates the average equipment application standard coefficient, equipment control efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient.

[0015] Equipment operation control quality assessment module: Calculates the equipment operation control quality index based on the integrated and calculated values;

[0016] Database: Used to store data information for all modules in the system.

[0017] Preferably, the equipment information for wood processing obtained in the processing scheme information retrieval module includes equipment model information, equipment operating parameter information, and information on the combination of various equipment corresponding to the processing flow. The equipment model information includes the equipment model and the energy consumption E of different equipment under different operating parameters and for different working times. yi And its allowable deviation coefficient, the equipment operating parameter information is the expected operating speed r gy Expected processing temperature t gy Expected cutting depth d qy Expected adhesive pressure p ny Expected borehole spacing k ay Expected drilling depth k dyThe information includes the allowable deviation coefficients for each working parameter, the combination information between each piece of equipment in the processing flow, including the equipment connection sequence and equipment accessory assembly information; the environmental parameter information obtained in the processing scheme information retrieval module is the environmental temperature, environmental humidity, and dust concentration determined for wood processing and their corresponding allowable deviation coefficients; the planned production information obtained in the processing scheme information retrieval module is the planned total energy consumption for equipment operation.

[0018] Preferably, the equipment inspection module includes an equipment inspection unit, an inspection result recording unit, an equipment application specification coefficient calculation unit, and a data output unit. The equipment inspection unit is used to check whether the equipment model, the set equipment operating parameters, and the combination of each piece of equipment corresponding to the processing flow are consistent with the equipment information used in the reviewed wood processing plan. The inspection result recording unit is used to record the number m of equipment with the same model. xa Number of devices with inconsistent models (m) xb The number of devices with the same operating parameters set (m) ca The device parameter m is inconsistent with the set device operating parameters. cb Number of correctly connected devices (m) la and the number of devices with connection errors m lb And the number of correctly assembled equipment parts (m) pa The number of devices with incorrect assembly of equipment parts (m) pb The equipment application specification coefficient calculation unit calculates the equipment application specification coefficient X based on the recorded inspection results. sg The specific formula is: The data output unit is used to send the calculated equipment application specification coefficients to the equipment data integration module.

[0019] Preferably, the wood processing online monitoring module includes a processing equipment operating parameter monitoring unit, a processing equipment running parameter monitoring unit, a processing environment parameter monitoring unit, and a monitoring data output unit. The processing equipment operating parameter monitoring unit is used to monitor the actual operating speed r of the processing equipment during operation. gs Actual processing temperature t gs Actual cutting depth d qs Actual adhesive pressure p ns Actual borehole spacing k as and the actual drilling depth k ds The processing equipment operation parameter monitoring unit is used to monitor the actual operating energy consumption E of the i-th processing equipment. si The processing environment parameter monitoring unit sets up multiple monitoring points in the processing workshop to monitor the actual ambient temperature, humidity and dust concentration in the wood processing workshop; the monitoring data output unit synchronizes the real-time monitoring data to the equipment control and judgment module.

[0020] Preferably, the equipment control and determination module includes a monitoring data receiving unit, an environmental parameter processing unit, an actual deviation coefficient calculation unit, an automatic control determination unit, and an instruction output unit. The monitoring data receiving unit is used to receive real-time monitored processing equipment operating parameters, processing equipment running parameters, and processing environment parameters; the environmental parameter processing unit uses t... hi w hj and v hk Let t represent the ambient temperature measured at the i-th ambient temperature monitoring point, the ambient humidity measured at the j-th ambient humidity monitoring point, and the dust concentration measured at the k-th dust monitoring point. Calculate the average ambient temperature t for each of these parameters. he Average ambient humidity w he and the average dust concentration v he The specific formula is as follows: n ht n hw and n hv These are the number of environmental temperature monitoring points, the number of environmental humidity monitoring points, and the number of dust monitoring points, respectively. The actual deviation coefficient calculation unit calculates the actual deviation coefficient of the corresponding parameters based on the actual and expected values ​​of the working speed, processing temperature, cutting depth, bonding pressure, drilling spacing, drilling depth, energy consumption of the i-th equipment, environmental temperature, environmental humidity, and dust concentration. The actual values ​​of environmental temperature, environmental humidity, and dust concentration are the calculated average values ​​of environmental temperature, environmental humidity, and dust concentration, respectively. The automatic control judgment unit compares the calculated actual deviation coefficients of different parameters with their corresponding allowable deviation coefficients. If the actual deviation coefficient is less than or equal to the allowable deviation coefficient, it is determined that no control is needed; otherwise, it is determined that control is needed. The instruction output unit sends a corresponding parameter control instruction to the equipment intelligent control module when it determines that a parameter needs control, and does not send any instruction about the parameter when it determines that a parameter does not need control.

[0021] Preferably, the equipment operation and maintenance module includes an anomaly information receiving unit, an anomaly maintenance unit, a periodic equipment maintenance unit, a maintenance data recording unit, an anomaly maintenance efficiency coefficient calculation unit, and a data output unit. The anomaly information receiving unit receives anomaly analysis results. The anomaly maintenance unit assigns anomaly maintenance tasks to on-duty maintenance personnel after receiving control anomaly information. The periodic equipment maintenance unit maintains the processing equipment based on preset intervals. When an anomaly maintenance event occurs within the interval, the periodic equipment maintenance task continues from the date the anomaly maintenance event was completed, after a preset interval. The maintenance data recording unit records the number of devices requiring maintenance during anomaly maintenance and the downtime for each device during periodic maintenance. The anomaly maintenance efficiency coefficient calculation unit calculates the efficiency coefficient based on the number m devices requiring maintenance during the i-th anomaly maintenance. sbi Equipment downtime for maintenance (T) sti Calculate the abnormal maintenance efficiency coefficient X for the i-th abnormal maintenance. ywi The specific formula is as follows: The total number of equipment used in wood processing; the data output unit sends the calculated abnormal maintenance efficiency coefficient, equipment downtime during abnormal maintenance, and equipment downtime during regular maintenance to the equipment data integration module.

[0022] Preferably, the equipment data integration module includes an equipment data receiving unit, a production equipment data statistics unit, an average equipment application standard coefficient calculation unit, an equipment control efficiency calculation unit, an average abnormal maintenance efficiency coefficient calculation unit, an average equipment effective utilization rate calculation unit, an equipment application energy consumption exceedance coefficient calculation unit, and a data output unit. The equipment data receiving unit receives the equipment application standard coefficient calculated for each production day within the production cycle, the abnormal maintenance efficiency coefficient for each abnormal maintenance, the equipment downtime during abnormal maintenance, and the equipment downtime during scheduled maintenance. The production equipment data statistics unit is used to statistically analyze the number of successful normal control operations, the number of abnormal failed control operations, the operating time of each piece of equipment, and the total energy consumption of the equipment used within the production cycle. The average equipment application standard coefficient calculation unit is based on the equipment application standard coefficient X of the i-th production day. sgi Calculate the average equipment application specification coefficient X sge The specific formula is: n sc The production day quantity; the equipment control efficiency calculation unit is based on the number of normal and successful control operations m within the production cycle. ct Number of abnormal failure adjustments (m) st The efficiency of computing equipment regulation γ st The specific formula is: The average abnormal maintenance efficiency coefficient calculation unit is based on the abnormal maintenance efficiency coefficient X of the i-th abnormal maintenance. ywi Calculate the average abnormal maintenance efficiency coefficient X ywe The specific formula is: n yw The total number of abnormal maintenance operations; the average equipment effective utilization rate calculation unit is based on the downtime T during the j-th abnormal maintenance operation of the i-th equipment. ywij The downtime T for the i-th device during the k-th scheduled maintenance. dwik The operating time T of the i-th piece of equipment in the wood production and processing process gi and the total number of equipment used in wood processing (m) sbz Calculate the average equipment utilization rate γ yse The specific formula is: n cwi Let n be the number of abnormal maintenance operations for the i-th device within the production cycle. dwi The number of scheduled maintenance operations for the i-th device within the production cycle; the energy consumption exceedance coefficient calculation unit for the device is based on the actual total energy consumption E of the device during the production cycle. sc Total energy consumption of planned equipment operation E sh Energy consumption exceedance factor X for computing equipment applications Ec The specific formula is: The data output unit is used to send the calculated data to the equipment operation control quality assessment module.

[0023] Preferably, the equipment operation control quality assessment module includes a data receiving unit, an equipment operation control quality index calculation unit, a compliance judgment unit, and an instruction output unit. The data receiving unit is used to receive data sent by the equipment data integration module. The equipment operation control quality index calculation unit calculates the equipment operation control quality index Z based on the average equipment application standard coefficient, equipment regulation efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient. yk The specific formula is: The compliance judgment unit is used to compare the calculated equipment operation control quality index with a preset value. If the calculated value is less than or equal to the preset value, the compliance is not met; if the calculated value is greater than the preset value, the compliance is met. The instruction output unit does not output an instruction when the compliance is determined, and outputs an instruction to optimize the equipment operation control scheme when the compliance is determined.

[0024] The technical effects and advantages of this invention are as follows:

[0025] 1. The present invention sets up an equipment inspection module to check whether the model of the processing equipment, the set equipment working parameters, and the equipment combination method are consistent with the equipment information in the formulated wood processing plan before the start of each production day. Based on the inspection results, the module calculates the equipment application standard coefficient, which can intuitively show the standardization of equipment application during wood processing. This is conducive to achieving integrated and standardized equipment application, reducing basic errors in equipment application, and improving the stability of the wood processing working environment.

[0026] 2. An online monitoring module for wood processing is set up to monitor the working parameters, operating parameters, and environmental parameters of the processing equipment in real time. An equipment control judgment module is set up to process the monitored parameters to obtain the actual deviation coefficient of each parameter. This is compared with the allowable deviation coefficient of the corresponding parameter to determine whether the parameter needs to be controlled. This realizes multi-angle data monitoring of the processing equipment, which helps to improve the accuracy of equipment anomaly detection and control. An intelligent equipment control module is set up to control the target parameters when the control conditions are met. The control buffer time used is compared with the set maximum control buffer time to determine whether there is a control anomaly. The control results are automatically backed up, realizing automated control, reducing manual reaction time, improving the efficiency of equipment control, and reducing the quality damage of wood processing to a certain extent.

[0027] 3. An equipment data integration module integrates various equipment data within the production cycle, calculating the average equipment application standard coefficient, equipment control efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient. This provides a clear overview of the equipment's application status from the calculated data, offering data support for subsequent monitoring system upgrades and optimizations. An equipment operation control quality assessment module calculates an equipment operation control quality index based on the integrated values. The calculated index is compared to a preset value; a value less than or equal to the preset value indicates non-compliance, while a value greater than the preset value indicates compliance. The instruction output unit does not output an instruction when compliance is determined, but outputs an instruction to optimize the equipment operation control scheme when non-compliance is determined. This provides a method for assessing equipment operation control quality based on existing equipment operation data, which helps ensure the system's priority and practicality. Attached Figure Description

[0028] Figure 1 This is a system structure block diagram of the present invention.

[0029] Figure 2 This is a flowchart of the system operation of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0031] like Figure 1 This embodiment provides an equipment operation monitoring system for wood processing, including a processing plan information retrieval module, a start-up equipment inspection module, a wood processing online monitoring module, an equipment control judgment module, an equipment intelligent control module, an equipment anomaly diagnosis module, an equipment operation and maintenance module, an equipment data integration module, an equipment operation control quality assessment module, and a database. The processing plan information retrieval module is connected to the start-up equipment inspection module and the equipment control judgment module. The wood processing online monitoring module, the equipment control judgment module, the equipment intelligent control module, the equipment anomaly diagnosis module, the equipment operation and maintenance module, the equipment data integration module, and the equipment operation control quality assessment module are sequentially connected. The start-up equipment inspection module and the equipment intelligent control module are both connected to the equipment data integration module. All modules in the system are connected to the database.

[0032] The processing plan information retrieval module is used to retrieve the established timber processing plan and obtain information on the equipment used in timber processing, environmental parameters, and planned production.

[0033] Furthermore, the equipment information for wood processing obtained in the processing scheme information retrieval module includes equipment model information, equipment operating parameter information, and information on the combination of various equipment corresponding to the processing flow. The equipment model information includes the equipment model and the energy consumption E of different equipment under different operating parameters and for different working times. yi And its allowable deviation coefficient, the equipment operating parameter information is the expected operating speed r gy Expected processing temperature t gy Expected cutting depth d qy Expected adhesive pressure p ny Expected borehole spacing k ay Expected drilling depth k dy The information includes the allowable deviation coefficients for each working parameter, the combination information between each piece of equipment in the processing flow, including the equipment connection sequence and equipment accessory assembly information; the environmental parameter information obtained in the processing scheme information retrieval module is the environmental temperature, environmental humidity, and dust concentration determined for wood processing and their corresponding allowable deviation coefficients; the planned production information obtained in the processing scheme information retrieval module is the planned total energy consumption for equipment operation.

[0034] Before starting work on each production day, the equipment inspection module checks whether the model of the processing equipment, the set operating parameters of the equipment, and the equipment combination method are consistent with the equipment information used in the formulated wood processing plan, and calculates the equipment application standard coefficient based on the inspection results.

[0035] Furthermore, the equipment inspection module includes an equipment inspection unit, an inspection result recording unit, an equipment application specification coefficient calculation unit, and a data output unit. The equipment inspection unit is used to check whether the equipment model, the set equipment operating parameters, and the combination of each piece of equipment corresponding to the processing flow are consistent with the equipment information used in the reviewed wood processing plan. The inspection result recording unit is used to record the number m of equipment with the same model. xa Number of devices with inconsistent models (m) xb The number of devices with the same operating parameters set (m) ca The device parameter m is inconsistent with the set device operating parameters. cb Number of correctly connected devices (m) la and the number of devices with connection errors m lb And the number of correctly assembled equipment parts (m) pa The number of devices with incorrect assembly of equipment parts (m) pb The equipment application specification coefficient calculation unit calculates the equipment application specification coefficient X based on the recorded inspection results. sg The specific formula is: The data output unit is used to send the calculated equipment application specification coefficients to the equipment data integration module.

[0036] In this embodiment, it should be specifically noted that, since different working parameters have their corresponding allowable deviation coefficients, when checking whether the equipment working parameters set by the equipment are consistent with the equipment information used in the reviewed wood processing plan, as long as the actual deviation coefficient between the actual set working parameters and the working parameters specified in the reviewed plan is less than or equal to the allowable deviation coefficient, it is determined that the set equipment working parameters are consistent with the equipment information used in the reviewed wood processing plan.

[0037] The online monitoring module for wood processing is used to monitor the working parameters of the processing equipment, the operating parameters of the processing equipment, and the parameters of the processing environment in real time during the wood processing process.

[0038] Furthermore, the online monitoring module for wood processing includes a processing equipment operating parameter monitoring unit, a processing equipment running parameter monitoring unit, a processing environment parameter monitoring unit, and a monitoring data output unit. The processing equipment operating parameter monitoring unit is used to monitor the actual operating speed r of the processing equipment during operation. gs Actual processing temperature t gs Actual cutting depth d qsActual adhesive pressure p ns Actual borehole spacing k as and the actual drilling depth k ds The processing equipment operation parameter monitoring unit is used to monitor the actual operating energy consumption E of the i-th processing equipment. si The processing environment parameter monitoring unit sets up multiple monitoring points in the processing workshop to monitor the actual ambient temperature, humidity and dust concentration in the wood processing workshop; the monitoring data output unit synchronizes the real-time monitoring data to the equipment control and judgment module.

[0039] In this embodiment, it is specifically noted that a monitoring point layout scheme is provided: the boundary line of the processing area of ​​each processing equipment is marked, and multiple monitoring points are set at equal intervals from the inside to the outside and from low to high, using the boundary line of the processing area of ​​the processing equipment as a reference.

[0040] The equipment control and determination module processes the monitored parameters to obtain the actual deviation coefficient of each parameter, and compares it with the allowable deviation coefficient of the corresponding parameter to determine whether the parameter needs to be controlled.

[0041] Furthermore, the equipment control and determination module includes a monitoring data receiving unit, an environmental parameter processing unit, an actual deviation coefficient calculation unit, an automatic control determination unit, and an instruction output unit. The monitoring data receiving unit is used to receive real-time monitored processing equipment operating parameters, processing equipment running parameters, and processing environment parameters; the environmental parameter processing unit uses t... hi w hj and v hk Let t represent the ambient temperature measured at the i-th ambient temperature monitoring point, the ambient humidity measured at the j-th ambient humidity monitoring point, and the dust concentration measured at the k-th dust monitoring point. Calculate the average ambient temperature t for each of these parameters. he Average ambient humidity w he and the average dust concentration v he The specific formula is as follows: n ht n hw and n hvThese are the number of environmental temperature monitoring points, the number of environmental humidity monitoring points, and the number of dust monitoring points, respectively. The actual deviation coefficient calculation unit calculates the actual deviation coefficient of the corresponding parameters based on the actual and expected values ​​of the working speed, processing temperature, cutting depth, bonding pressure, drilling spacing, drilling depth, energy consumption of the i-th equipment, environmental temperature, environmental humidity, and dust concentration. The actual values ​​of environmental temperature, environmental humidity, and dust concentration are the calculated average values ​​of environmental temperature, environmental humidity, and dust concentration, respectively. The automatic control judgment unit compares the calculated actual deviation coefficients of different parameters with their corresponding allowable deviation coefficients. If the actual deviation coefficient is less than or equal to the allowable deviation coefficient, it is determined that no control is needed; otherwise, it is determined that control is needed. The instruction output unit sends a corresponding parameter control instruction to the equipment intelligent control module when it determines that a parameter needs control, and does not send any instruction about the parameter when it determines that a parameter does not need control.

[0042] In this embodiment, it is specifically necessary to explain the actual deviation coefficient of the operating speed δ. rs Actual deviation coefficient of processing temperature δ gts Actual deviation coefficient of cutting depth δ dqs Actual deviation coefficient of adhesive pressure δ pns Actual deviation coefficient δ of borehole spacing kas actual deviation coefficient of borehole depth δ kds The actual deviation coefficient δ of the operating energy consumption of the i-th device Esi Actual deviation coefficient of ambient temperature δ hts Actual deviation coefficient of ambient humidity δ hws And the actual deviation coefficient δ of dust concentration hvs The specific calculation formula is as follows:

[0043]

[0044] The intelligent control module of the equipment adjusts the target parameters when they meet the control conditions, compares the control buffer time used with the set maximum control buffer time to determine whether there is a control abnormality, and automatically backs up the control results.

[0045] Specifically, in this embodiment, the intelligent control module includes a control instruction receiving unit, a control unit, an anomaly determination unit, a control result recording unit, and an instruction output unit. The control instruction receiving unit receives control instructions. The control unit controls the corresponding device based on the received control instructions until the actual deviation coefficient of the corresponding parameter is less than or equal to the allowable deviation coefficient. The time consumed in this process is called the control buffer time. The anomaly determination unit sets a maximum control buffer time for each parameter. If the control buffer time used to control the parameter is less than or equal to the set maximum control buffer time for the corresponding parameter, it is determined that there is no anomaly. If the control buffer time used to control the parameter is greater than the set maximum control buffer time for the corresponding parameter and the control is still not completed, it is determined that the control is abnormal. The control result recording unit records the number of successful normal control and the number of failed abnormal control. When the control is determined to be abnormal, the instruction output unit sends an instruction to the device anomaly diagnosis module to diagnose the cause of the control anomaly. When the control is determined to be normal, no instruction is issued.

[0046] When the equipment anomaly diagnosis module determines that there is an abnormality in the control, it automatically connects to the network to analyze the source of the anomaly and sends the anomaly analysis results to the equipment operation and maintenance module.

[0047] The equipment operation and maintenance module is used to maintain the equipment used in wood processing, and automatically records the downtime of each piece of equipment during regular maintenance and the number of pieces of equipment that need to be maintained and the downtime of equipment during abnormal maintenance.

[0048] Furthermore, the equipment operation and maintenance module includes an abnormal information receiving unit, an abnormal maintenance unit, a periodic equipment maintenance unit, a maintenance data recording unit, an abnormal maintenance efficiency coefficient calculation unit, and a data output unit. The abnormal information receiving unit is used to receive abnormal analysis results; the abnormal maintenance unit assigns abnormal maintenance tasks to on-duty maintenance personnel after receiving abnormal control information; the periodic equipment maintenance unit maintains the processing equipment based on a preset interval. When an abnormal maintenance event occurs on the processing equipment within the interval, the periodic equipment maintenance task continues from the date of completion of the abnormal maintenance event as the starting point after a preset interval; the maintenance data recording unit records the number of devices requiring maintenance during abnormal maintenance and the downtime of equipment maintenance, and also records the downtime of each device during periodic maintenance; the abnormal maintenance efficiency coefficient calculation unit calculates the efficiency coefficient based on the number m of devices requiring maintenance during the i-th abnormal maintenance. sbi Equipment downtime for maintenance (T) sti Calculate the abnormal maintenance efficiency coefficient X for the i-th abnormal maintenance. ywi The specific formula is as follows: The total number of equipment used in wood processing; the data output unit sends the calculated abnormal maintenance efficiency coefficient, equipment downtime during abnormal maintenance, and equipment downtime during regular maintenance to the equipment data integration module.

[0049] The equipment data integration module integrates various equipment data during the production cycle and calculates the average equipment application standard coefficient, equipment control efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient.

[0050] Furthermore, the equipment data integration module includes an equipment data receiving unit, a production equipment data statistics unit, an average equipment application standard coefficient calculation unit, an equipment control efficiency calculation unit, an average abnormal maintenance efficiency coefficient calculation unit, an average equipment effective utilization rate calculation unit, an equipment application energy consumption exceedance coefficient calculation unit, and a data output unit. The equipment data receiving unit receives the equipment application standard coefficient calculated for each production day within the production cycle, the abnormal maintenance efficiency coefficient for each abnormal maintenance, the equipment downtime during abnormal maintenance, and the equipment downtime during scheduled maintenance. The production equipment data statistics unit is used to statistically analyze the number of successful normal control operations, the number of abnormal failed control operations, the operating time of each piece of equipment, and the total energy consumption of the equipment used within the production cycle. The average equipment application standard coefficient calculation unit is based on the equipment application standard coefficient X of the i-th production day. sgi Calculate the average equipment application specification coefficient X sge The specific formula is: n sc The production day quantity; the equipment control efficiency calculation unit is based on the number of normal and successful control operations m within the production cycle. ct Number of abnormal failure adjustments (m) st The efficiency of computing equipment regulation γ st The specific formula is: The average abnormal maintenance efficiency coefficient calculation unit is based on the abnormal maintenance efficiency coefficient X of the i-th abnormal maintenance. ywi Calculate the average abnormal maintenance efficiency coefficient X ywe The specific formula is: n yw The total number of abnormal maintenance operations; the average equipment effective utilization rate calculation unit is based on the downtime T during the j-th abnormal maintenance operation of the i-th equipment. ywij The downtime T for the i-th device during the k-th scheduled maintenance. dwik The operating time T of the i-th piece of equipment in the wood production and processing process gi and the total number of equipment used in wood processing (m) sbz Calculate the average equipment utilization rate γ yse The specific formula is: n cwi Let n be the number of abnormal maintenance operations for the i-th device within the production cycle. dwi The number of scheduled maintenance operations for the i-th device within the production cycle; the energy consumption exceedance coefficient calculation unit for the device is based on the actual total energy consumption E of the device during the production cycle. sc Total energy consumption of planned equipment operation E sh Energy consumption exceedance factor X for computing equipment applications Ec The specific formula is: The data output unit is used to send the calculated data to the equipment operation control quality assessment module.

[0051] The equipment operation control quality assessment module calculates the equipment operation control quality index based on the integrated numerical values.

[0052] Furthermore, the equipment operation control quality assessment module includes a data receiving unit, an equipment operation control quality index calculation unit, a compliance judgment unit, and an instruction output unit. The data receiving unit is used to receive data sent by the equipment data integration module. The equipment operation control quality index calculation unit calculates the equipment operation control quality index Z based on the average equipment application standard coefficient, equipment regulation efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient. yk The specific formula is: The compliance judgment unit is used to compare the calculated equipment operation control quality index with a preset value. If the calculated value is less than or equal to the preset value, the compliance is not met; if the calculated value is greater than the preset value, the compliance is met. The instruction output unit does not output an instruction when the compliance is determined, and outputs an instruction to optimize the equipment operation control scheme when the compliance is determined.

[0053] The database is used to store data information for all modules in the system.

[0054] In this embodiment, it should be noted that the preset values ​​and expected values ​​used are selected based on actual needs, and no specific value limitation is imposed here.

[0055] like Figure 2 The embodiment shown provides an operation flow for a wood processing equipment operation monitoring system, including the following steps:

[0056] S1: Used to access the established timber processing plan and obtain information on the equipment used in timber processing, environmental parameters, and planned production information;

[0057] S2: Before starting work on each production day, check whether the model of the processing equipment used, the set equipment working parameters, and the equipment combination method are consistent with the equipment information used in the formulated wood processing plan, and calculate the equipment application standard coefficient based on the inspection results;

[0058] S3: Used for real-time monitoring of processing equipment operating parameters, processing equipment running parameters, and processing environment parameters during the wood processing process;

[0059] S4: After processing the monitored parameters, the actual deviation coefficient of each parameter is obtained. The deviation coefficient is then compared with the allowable deviation coefficient of the corresponding parameter to determine whether the parameter needs to be adjusted.

[0060] S5: When the target parameter meets the control conditions, it is controlled. The control buffer time used is compared with the set maximum control buffer time to determine whether there is a control abnormality. The control results are automatically backed up.

[0061] S6: When an abnormality in control is detected, automatically connect to the network to analyze the source of the abnormality and send the abnormality analysis results to the equipment operation and maintenance module;

[0062] S7: Used for maintaining equipment used in wood processing, automatically recording the downtime of each piece of equipment during regular maintenance and the number of pieces of equipment that need maintenance and the downtime of equipment during abnormal maintenance;

[0063] S8: Integrate various equipment data during the production cycle and calculate the average equipment application standard coefficient, equipment control efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient.

[0064] S9: Calculate the equipment operation control quality index based on the integrated numerical values, compare the calculated equipment operation control quality index with the preset value. If the calculated value is less than or equal to the preset value, it is not up to standard; if the calculated value is greater than the preset value, it is up to standard. If it is up to standard, no instruction is output; if it is not up to standard, an instruction to optimize the equipment operation control scheme is output.

[0065] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An equipment operation monitoring system for wood processing, characterized in that: include: Processing plan information retrieval module: Used to retrieve pre-defined timber processing plans and obtain information on equipment used in timber processing, environmental parameters, and planned production information; Equipment Inspection Module: Before starting work on each production day, inspect whether the model of the processing equipment used, the set equipment working parameters, and the equipment combination method are consistent with the equipment information used in the formulated wood processing plan, and calculate the equipment application standard coefficient based on the inspection results; Wood processing online monitoring module: used to monitor the working parameters of processing equipment, operating parameters of processing equipment, and processing environment parameters in real time during the wood processing process; Equipment control judgment module: After processing the monitored parameters, the actual deviation coefficient of each parameter is obtained, and it is compared with the allowable deviation coefficient of the corresponding parameter to determine whether the parameter needs to be controlled. The intelligent control module for equipment adjusts the parameters when they meet the control conditions, compares the control buffer time used with the set maximum control buffer time to determine if there is any control abnormality, and automatically backs up the control results. Equipment anomaly diagnosis module: When an anomaly is detected, it automatically connects to the network to analyze the source of the anomaly and sends the anomaly analysis results to the equipment operation and maintenance module; Equipment operation and maintenance module: used to maintain the equipment used in wood processing, automatically record the downtime of each piece of equipment during regular maintenance and the number of pieces of equipment that need to be maintained and the downtime of equipment during abnormal maintenance; Equipment data integration module: Integrates various equipment data during the production cycle, and calculates the average equipment application standard coefficient, equipment control efficiency, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient. Equipment operation control quality assessment module: Calculates the equipment operation control quality index based on the integrated numerical values.

2. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment information for wood processing obtained in the processing scheme information retrieval module includes equipment model information, equipment operating parameter information, and information on the combination of various equipment corresponding to the processing flow. Among them, the equipment model information includes the equipment model and the energy consumption E of different equipment under different operating parameters and different working times. yi And its allowable deviation coefficient, the equipment operating parameter information is the expected operating speed r gy Expected processing temperature t gy Expected cutting depth d qy Expected adhesive pressure p ny Expected borehole spacing k ay Expected drilling depth k dy The information includes the allowable deviation coefficients for each working parameter, the combination information between each piece of equipment in the processing flow, including the equipment connection sequence and equipment accessory assembly information; the environmental parameter information obtained in the processing scheme information retrieval module is the environmental temperature, environmental humidity, and dust concentration determined for wood processing and their corresponding allowable deviation coefficients; the planned production information obtained in the processing scheme information retrieval module is the planned total energy consumption for equipment operation.

3. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment inspection module includes an equipment inspection unit, an inspection result recording unit, an equipment application specification coefficient calculation unit, and a data output unit. The equipment inspection unit verifies whether the equipment model, set equipment operating parameters, and the combination of equipment in the processing flow are consistent with the equipment information used in the reviewed timber processing plan. The inspection result recording unit records the number m of equipment with the same model. xa Number of devices with inconsistent models (m) xb The number of devices with the same operating parameters set (m) ca The device parameter m is inconsistent with the set device operating parameters. cb Number of correctly connected devices (m) la and the number of devices with connection errors m lb And the number of devices (m) with correctly assembled equipment parts. pa The number of devices with incorrect assembly of equipment parts (m) pb The equipment application specification coefficient calculation unit calculates the equipment application specification coefficient X based on the recorded inspection results. sg The specific formula is: The data output unit is used to send the calculated equipment application specification coefficients to the equipment data integration module.

4. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The online monitoring module for wood processing includes a processing equipment operating parameter monitoring unit, a processing equipment running parameter monitoring unit, a processing environment parameter monitoring unit, and a monitoring data output unit. The processing equipment operating parameter monitoring unit is used to monitor the actual operating speed r of the processing equipment during operation. gs Actual processing temperature t gs Actual cutting depth d qs Actual adhesive pressure p ns Actual borehole spacing k as and the actual drilling depth k ds The processing equipment operation parameter monitoring unit is used to monitor the actual operating energy consumption E of the i-th processing equipment. si The processing environment parameter monitoring unit sets up multiple monitoring points in the processing workshop to monitor the actual ambient temperature, humidity and dust concentration in the wood processing workshop; the monitoring data output unit synchronizes the real-time monitoring data to the equipment control and judgment module.

5. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment control and determination module includes a monitoring data receiving unit, an environmental parameter processing unit, an actual deviation coefficient calculation unit, an automatic control determination unit, and an instruction output unit. The monitoring data receiving unit receives real-time monitored processing equipment operating parameters, processing equipment running parameters, and processing environment parameters. The environmental parameter processing unit uses t... hi w hj and v hk Let t represent the ambient temperature measured at the i-th ambient temperature monitoring point, the ambient humidity measured at the j-th ambient humidity monitoring point, and the dust concentration measured at the k-th dust monitoring point. Calculate the average ambient temperature t for each of these parameters. he Average ambient humidity w he and the average dust concentration v he The specific formula is as follows: n ht n hw and n hv These are the number of environmental temperature monitoring points, the number of environmental humidity monitoring points, and the number of dust monitoring points, respectively. The actual deviation coefficient calculation unit calculates the actual deviation coefficient of the corresponding parameters based on the actual and expected values ​​of the working speed, processing temperature, cutting depth, bonding pressure, drilling spacing, drilling depth, energy consumption of the i-th equipment, environmental temperature, environmental humidity, and dust concentration. The actual values ​​of environmental temperature, environmental humidity, and dust concentration are the calculated average values ​​of environmental temperature, environmental humidity, and dust concentration, respectively. The automatic control judgment unit compares the calculated actual deviation coefficients of different parameters with their corresponding allowable deviation coefficients. If the actual deviation coefficient is less than or equal to the allowable deviation coefficient, no control is required; otherwise, control is required. When the instruction output unit determines that a certain parameter needs to be adjusted, it sends a corresponding parameter adjustment instruction to the device intelligent control module; when it determines that a certain parameter does not need to be adjusted, it does not send any instruction about that parameter.

6. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment operation and maintenance module includes an anomaly information receiving unit, an anomaly maintenance unit, a periodic equipment maintenance unit, a maintenance data recording unit, an anomaly maintenance efficiency coefficient calculation unit, and a data output unit. The anomaly information receiving unit receives anomaly analysis results. The anomaly maintenance unit assigns anomaly maintenance tasks to on-duty maintenance personnel after receiving control anomaly information. The periodic equipment maintenance unit maintains the processing equipment based on preset intervals. When an anomaly maintenance event occurs on the processing equipment within the interval, the periodic equipment maintenance task continues from the date the anomaly maintenance event was completed, after a preset interval. The maintenance data recording unit records the number of devices requiring maintenance during anomaly maintenance and the downtime of the equipment, as well as the downtime of each device during periodic maintenance. The abnormal maintenance efficiency coefficient calculation unit is based on the number of devices m that need to be maintained during the i-th abnormal maintenance. sbi Equipment downtime for maintenance (T) sti Calculate the abnormal maintenance efficiency coefficient X for the i-th abnormal maintenance. ywi The specific formula is as follows: m sbz The total number of equipment used in wood processing; the data output unit sends the calculated abnormal maintenance efficiency coefficient, equipment downtime during abnormal maintenance, and equipment downtime during regular maintenance to the equipment data integration module.

7. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment data integration module includes an equipment data receiving unit, a production equipment data statistics unit, an average equipment application standard coefficient calculation unit, an equipment control efficiency calculation unit, an average abnormal maintenance efficiency coefficient calculation unit, an average equipment effective utilization rate calculation unit, an equipment application energy consumption exceedance coefficient calculation unit, and a data output unit. The equipment data receiving unit is used to receive the equipment application standard coefficient calculated for each production day within the production cycle, the abnormal maintenance efficiency coefficient for each abnormal maintenance, the equipment downtime during abnormal maintenance, and the equipment downtime during regular maintenance. The production equipment data statistics unit is used to count the number of normal successful control operations, the number of abnormal failed control operations, the operating time of each piece of equipment, and the total energy consumption of the equipment used within the production cycle. The average equipment application standardization coefficient calculation unit is based on the equipment application standardization coefficient X of the i-th production day. sgi Calculate the average equipment application specification coefficient X sge The specific formula is: n sc The production day quantity; the equipment control efficiency calculation unit is based on the number of normal and successful control operations m within the production cycle. ct Number of abnormal failure adjustments (m) st The efficiency of computing equipment regulation γ st The specific formula is: The average abnormal maintenance efficiency coefficient calculation unit is based on the abnormal maintenance efficiency coefficient X of the i-th abnormal maintenance. ywi Calculate the average abnormal maintenance efficiency coefficient X ywe The specific formula is: n yw The total number of abnormal maintenance operations; the average equipment effective utilization rate calculation unit is based on the downtime T during the j-th abnormal maintenance operation of the i-th equipment. ywij The downtime T for the i-th device during the k-th scheduled maintenance. dwik The operating time T of the i-th piece of equipment in the wood production and processing process gi and the total number of equipment used in wood processing (m) sbz Calculate the average equipment utilization rate γ yse The specific formula is: n cwi Let n be the number of abnormal maintenance operations for the i-th device within the production cycle. dwi The number of scheduled maintenance operations for the i-th device within the production cycle; The equipment application energy consumption exceedance coefficient calculation unit is based on the actual total energy consumption E of the equipment operation during the production cycle. sc Total energy consumption of planned equipment operation E sh Energy consumption exceedance factor X for computing equipment applications Ec The specific formula is: The data output unit is used to send the calculated data to the equipment operation control quality assessment module.

8. The equipment operation monitoring system for wood processing according to claim 1, characterized in that: The equipment operation control quality assessment module includes a data receiving unit, an equipment operation control quality index calculation unit, a compliance judgment unit, and an instruction output unit. The data receiving unit is used to receive data sent by the equipment data integration module. The equipment operation control quality index calculation unit calculates the equipment operation control quality index Z based on the average equipment application standard coefficient, equipment regulation effectiveness, average abnormal maintenance efficiency coefficient, average equipment effective utilization rate, and equipment application energy consumption exceedance coefficient. yk The specific formula is: The compliance judgment unit is used to compare the calculated equipment operation control quality index with a preset value. If the calculated value is less than or equal to the preset value, the compliance is not met; if the calculated value is greater than the preset value, the compliance is met. The instruction output unit does not output an instruction when the compliance is determined, and outputs an instruction to optimize the equipment operation control scheme when the compliance is determined.

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