Electrical control system of municipal pipeline construction equipment
By designing an electrical control system for municipal pipeline construction equipment, the equipment status and construction progress are monitored in real time, control instructions are generated, faults are predicted and early warnings are issued, the existing system's problems of low automation, low efficiency and insufficient safety are solved, and an efficient and safe construction process is achieved.
Patent Information
- Application Number
- CN202510096160.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-22
- Publication Date
- 2025-02-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing municipal pipeline construction equipment electrical control system has low degree of automation, low efficiency, insufficient safety, and difficult to adjust the equipment status in real time. It is not effective to combine the equipment operation status and construction progress, resulting in low construction efficiency and safety hazards.
An electrical control system for municipal pipeline construction equipment is designed, including equipment status monitoring module, construction progress control module, fault diagnosis and alarm module and energy consumption management module. By monitoring the equipment status and construction progress in real time, generating control instructions, adjusting equipment work strategies, predicting faults and issuing early warnings, reducing manual intervention and energy consumption.
It improves the level of automation control of construction equipment, improves construction efficiency, reduces fault occurrence and safety hazards, optimizes energy use, and ensures that the construction tasks are carried out as planned.
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Figure CN119536188A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of municipal engineering, and in particular to an electrical control system for municipal pipeline construction equipment. Background Art
[0002] In the process of municipal pipeline construction, construction equipment such as excavators, cranes, and rollers play a vital role. However, traditional electrical control systems for construction equipment often have problems such as low automation, low construction efficiency, and insufficient safety. The Chinese patent with publication number: CN217414324U discloses an electrical control system based on an intelligent vibrating trolley, which completes the electrical control design of prefabricated box girder vibrating construction equipment, connects the various mechanisms of the vibrating construction equipment through a central control unit and realizes human-computer interaction, realizes the automatic operation of the box girder model vibration in the beam field, reduces labor input, reduces the labor intensity of workers, and improves the intelligence level of the prefabricated box girder construction process.
[0003] Although the above patents realize human-computer interaction and automatic control, the following problems still exist: 1. Existing electrical control systems mostly rely on manual operation, resulting in low work efficiency, being easily affected by human factors, and making it difficult to adjust the working status of construction equipment in real time; 2. The existing electrical control system fails to fully integrate the operating status of the equipment with the construction progress. When the construction task lags behind, the equipment cannot adjust its working strategy in time, affecting the overall construction efficiency. It is also difficult to effectively deal with the potential failure risks of the equipment, posing a major safety hazard. Summary of the invention
[0004] The purpose of the present invention is to provide an electrical control system for municipal pipeline construction equipment, which reduces manual operations, improves the level of automated control, and improves construction efficiency through real-time monitoring and intelligent linkage with construction progress. Through equipment failure prediction and early warning mechanisms, potential equipment problems can be discovered in a timely manner to avoid failures, reduce downtime and safety hazards, and solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above object, the present invention provides the following technical solutions: Municipal pipeline construction equipment electrical control system, including: The equipment status monitoring module is used to monitor the key parts of the construction equipment, obtain the working status and operating parameters of the construction equipment in real time, analyze the obtained equipment working status and operating parameters, and identify the current operating status of the construction equipment; The construction progress control module is used to compare the current progress with the preset construction plan according to the current operating status of the construction equipment monitored in real time, evaluate the construction progress of the preset construction plan, and generate corresponding control instructions according to the construction progress to control the construction equipment to respond and perform operations; The fault diagnosis and alarm module is used to identify abnormalities in the working status and operating parameters of the acquired construction equipment, and judge whether the equipment status, driving conditions and control operations of the construction equipment are normal based on the identification results, and issue corresponding alarm reminders in case of abnormalities; The fault diagnosis and alarm module is also used to determine the degree of task progress deviation based on the construction progress evaluation results of the construction plan. When the degree of progress deviation is greater than or equal to a preset threshold, the corresponding progress abnormality alarm mechanism is triggered; The energy consumption management module is used to obtain the real-time working status, construction progress and fault data of the equipment, combine energy recovery technology to convert electric energy, and store and recycle the converted electric energy.
[0006] Furthermore, the equipment status monitoring module includes: Equipment monitoring unit, which is used to monitor the working status and operating parameters of key parts of construction equipment in real time, analyze the operating change trend based on time series, and identify the current operating status of construction equipment; The battery management unit is used to monitor the battery operating status of construction equipment, evaluate the trend of battery performance changes, and perform battery charging management and overcharge protection; The drive control unit is used to monitor and control the motor drive status of the construction equipment, generate real-time operation status reports, and adjust the motor drive terminal according to the real-time working conditions of the construction equipment.
[0007] Furthermore, the battery management unit monitors the battery operating status of the construction equipment, specifically: The battery voltage, current, temperature and charge / discharge status are collected based on the preset collection time interval to obtain the real-time operation monitoring data of the battery; Filtering the real-time operation monitoring data according to the effective operation status of the battery to select target operation monitoring data, wherein the target operation monitoring data corresponds one-to-one to the effective operation status of the battery; Performing cluster analysis on the target operation monitoring data according to the data characteristics of the target operation monitoring data, obtaining the voltage operation data group and the capacitance operation data group of the battery, and correcting the voltage operation data group and the capacitance operation data group of the battery in combination with the temperature and the charge and discharge state of the battery; Obtain the value range of the voltage operation data group and the capacitance operation data group of the corrected battery, compare the value range with the preset normal battery operating range, and determine whether the operating state of the battery is normal; Based on the corrected voltage operation data group and capacitance operation data group of the battery, a voltage change curve and a capacitance change curve are drawn, and a total voltage change value and a total capacitance change value of the battery from full charge to a cut-off voltage are calculated; A battery performance evaluation model is constructed based on the voltage change value and the capacitance change value, the battery performance evaluation value is calculated, and the battery performance evaluation value is compared with a preset threshold to determine whether the battery is in normal use.
[0008] Furthermore, the battery management unit is also used to comprehensively evaluate the operating parameters of the battery pack, specifically: Obtain actual operating data of construction equipment, analyze motor energy requirements under different operating conditions, and determine the total amount of energy that the battery needs to provide; Based on the operating condition analysis results, determine the equivalent operating capacity of the battery pack under different discharge parameters, determine the discharge data of the battery pack at different rates, and determine the power constraints of the battery pack; Based on the motor energy demand and battery power constraints, the Peukert discharge model of the battery pack is constructed. According to the equivalent working condition capacity, the Peukert equation is used to calculate the actual available capacity of the battery pack, determine the parameter configuration of the battery pack, and perform capacity attenuation compensation on the actual available capacity of the battery pack. The key characteristic parameters of the battery pack are determined based on the actual available capacity and battery life characteristics of the battery pack, and the operating voltage level, discharge depth and rate of the battery pack are adjusted to optimize battery performance and service life.
[0009] Furthermore, the construction progress control module includes: The progress comparison unit is used to compare the current construction progress with the preset construction plan based on the current operating status data of the construction equipment monitored in real time, analyze the progress deviation of the construction task, and evaluate in real time whether the construction progress meets the expected plan; The instruction generation unit is used to generate corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, and guide the construction equipment to adjust the working strategy.
[0010] Furthermore, the construction progress control module also includes: Analyze the comprehensive evaluation status of construction equipment at different progress levels and conduct a comprehensive evaluation of the construction progress; Tracking and recording the progress of the comprehensive evaluation of the construction progress, and retrieving the relevant information of the construction project after the comprehensive evaluation is completed, including: construction record data information, resource consumption assessment data information and construction progress comprehensive evaluation data information; Combine the related information of the construction project with the current construction progress to form a corresponding relationship under the current construction progress status; Analyze the corresponding relationship under the current construction progress status and the corresponding relationship under the historical construction progress status to determine the data fluctuation relationship; Filling the data fluctuation relationship into a chart template to generate a construction progress chart, wherein abnormal data is highlighted in the construction progress chart of the construction project; When the data of any construction progress is retrieved, the data information is retrieved for the target construction progress, and the related information under the target construction progress is presented separately in the form of a chart.
[0011] Furthermore, the fault diagnosis and alarm module includes: A fault identification unit is used to obtain the working status and operating parameter data of the construction equipment, perform abnormality detection on the construction equipment based on the association between the working status and the operating parameters of the construction equipment, and trigger an alarm mechanism based on the detection results; The deviation warning unit is used to determine whether there is an abnormal deviation in the current progress based on the comparative analysis results of the construction progress, and trigger an abnormal alarm when the progress deviation reaches a preset threshold.
[0012] Furthermore, the fault identification unit is specifically: According to the preset operation standards of the construction equipment, the collected working status and operation parameter data are traversed to identify abnormal data that does not meet the standards; Analyze the time points of abnormal data. If the time interval and the number of data collected do not meet the set normal standards, the corresponding sensor data collection is judged to be abnormal and an alarm is issued; If the time interval of abnormal data meets the standard, the abnormal data is removed from the collected data set, and the collected data that meets the normal standard is retained; Classify the collected data that meets normal standards to obtain the equipment parameters and construction progress control parameters; According to the design specifications and actual working status of the equipment, establish the association rules between the equipment operation parameters and establish the first parameter association of the equipment itself; According to the construction progress and construction environment required by the equipment during the construction process, a second parameter association between the construction progress and the equipment control is established; Comprehensively consider the equipment's operating status and construction progress parameters, establish the constraint relationship between equipment control operations and construction tasks, and determine the third parameter association; Determine whether the parameters of the device itself meet the first parameter association, determine whether the device is in a normal working state, and issue an abnormal device status reminder when an abnormality occurs; Determine whether the construction progress parameter satisfies the second parameter association, ensure that the motor runs under the progress requirement of the construction task, and issue an abnormal device drive reminder when the device load does not meet the progress requirement; After determining that the state of the equipment itself is normal and the equipment drive is normal, judging whether the comprehensive control of the equipment and the construction task satisfies the third parameter association; If so, the device control operation is judged to be normal, and the corresponding normal acquisition parameters are used as qualified acquisition parameters for participating in data analysis to determine the construction progress; otherwise, the device control operation is judged to be abnormal, and an abnormal operation reminder is issued.
[0013] Furthermore, when the instruction generation unit generates corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, it also analyzes the construction quality, including: Analyze the construction project based on the current operating status of the construction equipment to determine the current construction information of the construction project; Conduct construction quality analysis based on current construction information of the construction project, obtain construction quality evaluation factors, and calculate construction quality assessment data based on the construction quality evaluation factors to obtain construction quality analysis data; Combined with the construction standards, the construction quality analysis data is analyzed in a standardized manner using the following formula to determine whether the construction quality analysis data meets the construction standards and obtain the project construction quality analysis results;
[0014] In the above formula, Analyze the result data of project construction quality. When the project construction quality analysis result is that the construction quality analysis data meets the construction standards, When the project construction quality analysis result is that the construction quality analysis data does not meet the construction standards; For the Construction quality analysis data; For the The lower limit of the construction standard for construction quality analysis data; For the The upper limit of construction standards for construction quality analysis data; For the Error reconciliation parameters of construction standards for construction quality analysis data; The number of data analyzed for construction quality; When the project construction quality analysis result shows that the construction quality analysis data does not meet the construction standards, a cause analysis is performed based on the construction quality analysis data to determine the reasons why the construction quality analysis data does not meet the construction standards and obtain the reasons why the construction project is not standardized; According to the reasons for the non-standard construction projects, combined with the construction planning analysis, it is determined whether the reasons for the non-standard construction projects can be corrected during the construction process, and the cause analysis and judgment results are obtained; When the cause analysis result shows that the cause of the non-standard construction project can be corrected during the construction process, construction correction information is generated based on the cause of the non-standard construction project, and corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. Then, the construction correction information is used to correct and adjust the corresponding operation instructions, so as to guide the construction equipment to adjust the work strategy according to the corrected and adjusted operation instructions; When the result of the cause analysis is that the cause of the non-standard construction project cannot be corrected during the construction process, the corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. At the same time, the difference data between the construction quality analysis data and the construction standard is determined, and danger warning information is generated based on the difference data. In addition, while guiding the construction equipment to adjust the work strategy according to the operation instructions, warning prompts are issued based on the danger warning information.
[0015] Furthermore, the deviation warning unit determines whether there is an abnormal deviation in the current progress based on the comparative analysis result of the construction progress, and triggers an abnormal alarm when the progress deviation reaches a preset threshold, including: Based on the comparative analysis of the construction progress, it is determined whether there is an abnormal deviation in the current construction progress, and a first analysis result is obtained; When the first analysis result shows that the current construction progress has an abnormal deviation, the construction steps are determined for the current construction progress to obtain the main construction steps, and the main construction steps are analyzed to see whether there are other construction steps that are carried out simultaneously to obtain the second analysis result; When the second analysis result is that there are no other construction steps being performed simultaneously, an analysis and judgment is performed based on the abnormal deviation data combined with a preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; When the second analysis result is that there are other construction steps that are carried out simultaneously, the effectiveness of the synchronization of the other construction steps with the main construction steps is analyzed. If the other construction steps that are carried out simultaneously are invalid, analysis and judgment are performed based on the abnormal deviation data in combination with the preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; if the other construction steps that are carried out simultaneously are valid, the impact of the other construction steps that are carried out simultaneously on the main construction steps is analyzed to obtain progress impact data, and then the abnormal deviation data is revised according to the progress impact data, and analysis and judgment are performed based on the revised abnormal deviation data in combination with the preset threshold, and when the revised abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered.
[0016] Compared with the prior art, the present invention has the following beneficial effects: By real-time monitoring of key parts of construction equipment and analyzing the operating status and working parameters of the equipment, reducing manual intervention and avoiding the influence of human factors, timely adjusting equipment working strategies based on real-time data on equipment status and construction progress, ensuring that construction tasks are carried out as planned, and dynamically optimizing construction progress through progress comparison units and instruction generation units to improve construction efficiency, timely identifying and issuing alarms when equipment abnormalities occur, reducing the occurrence of failures and improving the safety of equipment operation. At the same time, the progress abnormality alarm mechanism is triggered based on progress deviations to further ensure that the project progress is not affected. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a module diagram of the electrical control system of the municipal pipeline construction equipment of the present invention. DETAILED DESCRIPTION
[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0019] In order to solve the technical problems that the existing electrical control system relies on manual operation, is inefficient, is easily affected by human factors, and is difficult to adjust the equipment status in real time; and does not effectively combine the equipment status with the construction progress, resulting in low construction efficiency, difficulty in dealing with potential failures, and potential safety hazards, please refer to Figure 1 , this embodiment provides the following technical solutions: Municipal pipeline construction equipment electrical control system, including: The equipment status monitoring module is used to monitor the key parts of the construction equipment, such as the current and voltage sensors, temperature sensors and vibration sensors of the motor, obtain the working status and operating parameters of the construction equipment in real time, analyze the obtained equipment working status and operating parameters, and identify the current operating status of the construction equipment; The construction progress control module is used to compare the current progress with the preset construction plan according to the current operating status of the construction equipment monitored in real time, evaluate the construction progress of the preset construction plan, and generate corresponding control instructions according to the construction progress to control the construction equipment to respond and perform operations, including: The progress comparison unit is used to compare the current construction progress with the preset construction plan based on the current operating status data of the construction equipment monitored in real time, such as equipment operating time, workload, construction environment and other parameters, analyze the progress deviation of the construction task, and evaluate in real time whether the construction progress meets the expected plan; The instruction generation unit is used to generate corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, and guide the construction equipment to adjust the working strategy, so as to improve the construction efficiency and progress and avoid project delays caused by human factors; The fault diagnosis and alarm module is used to identify abnormalities in the working status and operating parameters of the acquired construction equipment, and judge whether the equipment status, driving conditions and control operations of the construction equipment are normal based on the identification results, and issue corresponding alarm reminders in case of abnormalities; The fault diagnosis and alarm module is also used to determine the degree of task progress deviation based on the construction progress evaluation results of the construction plan. When the degree of progress deviation is greater than or equal to a preset threshold, the corresponding progress abnormality alarm mechanism is triggered; The energy consumption management module is used to obtain the real-time working status, construction progress and fault data of the equipment, and combines energy recovery technology to convert electric energy, and store and recycle the converted electric energy, which helps to reduce energy consumption, especially when descending or braking, and feeds part of the energy back to the battery system.
[0020] In this embodiment, by real-time monitoring of key parts of construction equipment and analyzing the operating status and working parameters of the equipment, human intervention is reduced and the influence of human factors is avoided. According to the real-time data of equipment status and construction progress, the equipment working strategy is adjusted in time to ensure that the construction task is carried out as planned. The construction progress is dynamically optimized through the progress comparison unit and the instruction generation unit to improve construction efficiency. When equipment abnormalities occur, they are identified and alarms are issued in time to reduce the occurrence of failures and improve the safety of equipment operation. Part of the energy is fed back during the descent or braking process of the equipment to reduce energy consumption, extend the service life of the equipment, and achieve sustainable construction.
[0021] In this embodiment, the device status monitoring module includes: The equipment monitoring unit is used to monitor the working status and operating parameters of key parts of the construction equipment in real time, obtain multi-dimensional parameter data including motors, voltage sensors, temperature sensors and vibration sensors, and analyze the operating change trend based on time series, identify the current operating status of the construction equipment, and provide a basis for control decisions to support subsequent modules; The battery management unit is used to monitor the battery operating status of construction equipment, including voltage, current, remaining power, charge and discharge status, and temperature, evaluate the trend of battery performance changes, and perform battery charging management and overcharge protection; The drive control unit is used to monitor and control the motor drive status of the construction equipment, including parameters such as operating speed, torque, load and motor temperature, generate real-time operating status reports, and adjust the motor drive terminal according to the real-time operating conditions of the construction equipment to ensure that the equipment operates within an efficient and stable operating range.
[0022] In this embodiment, the battery management unit monitors the battery operating status of the construction equipment, specifically: The battery voltage, current, temperature and charge / discharge status are collected based on the preset collection time interval to obtain the real-time operation monitoring data of the battery; Filtering the real-time operation monitoring data according to the effective operation status of the battery to select target operation monitoring data, wherein the target operation monitoring data corresponds one-to-one to the effective operation status of the battery; Performing cluster analysis on the target operation monitoring data according to the data characteristics of the target operation monitoring data, obtaining the voltage operation data group and the capacitance operation data group of the battery, and correcting the voltage operation data group and the capacitance operation data group of the battery in combination with the temperature and the charge and discharge state of the battery; Obtain the value range of the voltage operation data group and the capacitance operation data group of the corrected battery, compare the value range with the preset normal battery operating range, and determine whether the battery operation status is normal, such as abnormal temperature, abnormal voltage, low remaining power, etc.; Based on the corrected voltage operation data group and capacitance operation data group of the battery, a voltage change curve and a capacitance change curve are drawn, and a total voltage change value and a total capacitance change value of the battery from full charge to a cut-off voltage are calculated; A battery performance evaluation model is constructed based on the voltage change value and the capacitance change value, the battery performance evaluation value is calculated, and the battery performance evaluation value is compared with a preset threshold to determine whether the battery is in normal use.
[0023] In this embodiment, through precise monitoring and intelligent analysis, comprehensive management of the battery operating status of construction equipment is achieved, the real-time and accuracy of battery monitoring is improved, battery overcharging and abnormal conditions are effectively prevented, and the battery life is extended; through data clustering and correction, the accuracy of the evaluation model is ensured, providing a scientific basis for battery performance; drawing change curves and calculating change values facilitate timely discovery and handling of battery problems, ensuring continuous and stable operation of equipment; the overall reliability and operating efficiency of construction equipment are improved, and maintenance costs and downtime risks are reduced.
[0024] In this embodiment, the battery management unit is also used to comprehensively evaluate the operating parameters of the battery pack, specifically: Obtain the actual operating data of the construction equipment, including working hours, workload, working mode, etc., analyze the motor energy requirements under different working conditions, and determine the total amount of energy that the battery needs to provide; Based on the results of the operating condition analysis, the equivalent operating capacity of the battery pack under different discharge parameters can be determined. For example, the equivalent operating capacity of the battery pack under low load, high load, low speed, high speed and other operating conditions can be calculated respectively, and the discharge data of the battery pack at different rates, including discharge time, discharge current, remaining capacity, etc., can be determined to determine the power constraint conditions of the battery pack; Based on the motor energy demand and battery power constraints, the Peukert discharge model of the battery pack is constructed. According to the equivalent working condition capacity, the Peukert equation is used to calculate the actual available capacity of the battery pack, determine the parameter configuration of the battery pack, and perform capacity attenuation compensation on the actual available capacity of the battery pack. The key characteristic parameters of the battery pack are determined based on the actual available capacity and battery life characteristics of the battery pack, and the operating voltage level, discharge depth and rate of the battery pack are adjusted to optimize battery performance and service life, such as discharge depth and number of cycles.
[0025] In this embodiment, under actual discharge conditions, since the internal resistance of the battery pack as a whole is not suitable for direct measurement, and there is a certain error in estimating the internal resistance of the battery pack using the internal resistance of a single cell, the following formula is generally used as the power constraint condition of the battery pack in engineering applications:
[0026] Where P m It is represented by motor power, η is the efficiency coefficient, U is the operating voltage of the battery pack, i max Expressed as the maximum discharge current of the battery pack; According to the above calculation, the motor power is 55kW and the efficiency coefficient is 0.85; then the battery pack power is P max =65kW; referring to the current working voltage level of small electric excavators of 400~700V, the battery pack voltage is 550V; thus, the battery pack discharge current I=55kW / 550V=100A can be calculated.
[0027] Peukert discharge model: Based on the relationship between the actual available capacity and the discharge rate during the discharge process of the battery pack, the Peukert equation is used to estimate the battery capacity in the lead-acid battery. In the temperature range of 0~50℃ and the discharge current between 0~150A, the Peukert model has good applicability, as expressed as follows:
[0028] Where: n is the Peukert coefficient.
[0029] From the Peukert equation, we know that the product of the power of the battery's discharge current and the discharge time is a fixed constant. The larger the n value, the more the actual capacity deviates from the rated capacity, and the more obvious the available capacity decays. The Peukert constant n can be calculated by combining the Peukert equations under different discharge conditions. The expression is as follows:
[0030] In the formula, lgt2-lgt1 represents the difference in the natural logarithms of the time ratios measured under different discharge conditions, and lgI1−lgI2 represents the difference in the natural logarithms of the corresponding discharge currents. According to the empirical formula, the Puckett constant of the developed pipeline construction equipment battery pack is n=1.2 at a discharge current of 100A.
[0031] Discharge Depth: The battery pack as the energy storage of the developed equipment is similar in function to the fuel tank of a traditional excavator. However, the life of the battery system is mainly affected by the discharge depth and discharge rate during use in addition to the self-consumption inside the battery. Therefore, the discharge depth and discharge rate are one of the key characteristic parameters that need to be controlled during the use of the battery. If the discharge depth is too small, the battery pack's electric energy cannot be fully utilized, which will increase the number of charge and discharge cycles under the same working conditions. Excessive discharge depth will greatly reduce the service life of the battery pack. Based on the definition of the battery pack's discharge characteristic parameter DOD, an early warning and power-off operation are performed when the battery reaches a specified discharge depth.
[0032] Battery pack capacity calculation: In this embodiment, the expected life of the battery pack is three years. Combined with the actual charging and discharging conditions of the equipment (0.15C charging / one charge per day), that is, the cycle life is about 1000 times, the battery pack discharge depth DOD=0.8 is selected.
[0033] Considering the actual working situation, the calculation is based on an 8-hour working day. Since the calculation is based on full power of 55kW, the pipeline installation work is not done at full power for a long time, and the walking action and the execution end action are rarely combined; for the battery pack capacity calculation formula, the battery discharge capacity is calculated according to the 6h discharge rate; Then we have:
[0034] In the formula, C N represents the total capacity of the battery pack, I represents the discharge current of the battery pack, n represents the number of batteries in series, Pt represents the discharge power of the battery pack, U b represents the nominal voltage of the battery pack, DOD represents the depth of discharge of the battery pack, η b , η c , η mThey represent the discharge efficiency coefficient, charging efficiency coefficient and maintenance efficiency coefficient of the battery pack respectively; the energy of the battery pack is: E=550V*780Ah=429kWh; Since the battery energy mentioned above is the energy under full-time and full-power conditions, in the actual pipeline construction process, the construction site environment is changeable and complex, the equipment working time is relatively low, and excessively redundant battery packs will increase the overall weight of the pipeline installation equipment, the structural space size is too long, and the entire equipment system has great redundancy, which violates the lightweight and efficient design requirements. Considering this, a certain conversion factor is used, and the energy is taken as 35~40% of the above design value.
[0035] In this embodiment, the battery management unit optimizes the battery performance and service life by comprehensively evaluating the battery pack operating parameters, ensuring that the energy supply of the battery pack under different operating conditions matches the motor requirements, improving the calculation accuracy of the actual available capacity of the battery pack, and reducing the impact of capacity attenuation, thereby extending the battery life and improving the reliability and efficiency of equipment operation.
[0036] In this embodiment, the construction progress control module further includes: Analyze the comprehensive evaluation status of construction equipment at different progress levels and conduct a comprehensive evaluation of the construction progress; Tracking and recording the progress of the comprehensive evaluation of the construction progress, and retrieving the relevant information of the construction project after the comprehensive evaluation is completed, including: construction record data information, resource consumption assessment data information and construction progress comprehensive evaluation data information; Combine the related information of the construction project with the current construction progress to form a corresponding relationship under the current construction progress status; Analyze the corresponding relationship under the current construction progress status and the corresponding relationship under the historical construction progress status to determine the data fluctuation relationship; Filling the data fluctuation relationship into a chart template to generate a construction progress chart, wherein abnormal data is highlighted in the construction progress chart of the construction project; When the data of any construction progress is retrieved, the data information is retrieved for the target construction progress, and the related information under the target construction progress is presented separately in the form of a chart.
[0037] In this embodiment, through comprehensive evaluation and data analysis, accurate management of the construction progress is achieved, the real-time and accuracy of construction progress monitoring is improved, the progress status is intuitively displayed through charts, which facilitates rapid identification and response to abnormal data, optimizes resource allocation, and ensures that the construction project is efficiently advanced as planned.
[0038] In this embodiment, the fault diagnosis and alarm module includes: A fault identification unit is used to obtain the working status and operating parameter data of the construction equipment, perform abnormality detection on the construction equipment based on the association between the working status and the operating parameters of the construction equipment, and trigger an alarm mechanism based on the detection results; The deviation warning unit is used to determine whether there is an abnormal deviation in the current progress based on the comparative analysis results of the construction progress, and trigger an abnormal alarm when the progress deviation reaches a preset threshold to remind construction personnel to adjust the work plan in time.
[0039] In this embodiment, the fault identification unit is specifically: According to the preset operation standards of the construction equipment, the collected working status and operation parameter data are traversed to identify abnormal data that does not meet the standards, such as voltage, current, temperature, vibration, load, etc., and compare them one by one; Analyze the time points of abnormal data. If the time interval and the number of data collected do not meet the set normal standards, for example, the interval of data collection is too short or too long, or the data is discontinuous, the data collection of the corresponding sensor is judged to be abnormal, and an alarm is issued; If the time interval of abnormal data meets the standard, the abnormal data is removed from the collected data set (i.e., the collected working status and operating parameter data), and the collected data that meets the normal standard is retained; Classify the collected data that meets normal standards to obtain the equipment parameters and construction progress control parameters; Among them, the equipment parameters include basic operating parameters such as motor load, temperature, current, voltage, vibration, etc. The construction progress control parameters include motor running speed, workload, ambient temperature, etc., which reflect the execution status of the construction task and the construction environment, the progress parameters related to the construction equipment work and the construction environment factors; According to the design specifications and actual working status of the equipment, establish the association rules between the equipment operating parameters and establish the first parameter association of the equipment itself. For example, the current of some motors should increase and the temperature should rise when under high load. Through the association between these parameters, judge whether the working status of the equipment is normal; According to the construction progress and construction environment required by the equipment during the construction process, establish a second parameter association between the construction progress and the equipment control, for example, the relationship between the motor load and the construction progress, to ensure that the motor load is consistent with the construction progress and avoid equipment overload or inefficient operation; Comprehensively consider the operating status of the equipment itself and the construction progress parameters, establish the constraint relationship between the equipment control operation and the construction task, and determine the third parameter association. For example, the operating status of the motor under different loads should match the requirements of the construction progress. Determine whether the parameters of the device itself meet the first parameter association, determine whether the device is in a normal working state, and issue an abnormal device status reminder when an abnormality occurs; Determine whether the construction progress parameter satisfies the second parameter association, compare the relationship between the motor load, running speed and other parameters and the construction task progress, ensure that the motor operates under the progress requirements of the construction task, if the motor load exceeds the set threshold, or does not match the construction progress, the system will determine it as abnormal, and issue a device drive abnormality reminder when the equipment load does not meet the progress requirements, reminding the operator to adjust the equipment load; After determining that the state of the equipment itself is normal and the equipment drive is normal, judging whether the comprehensive control of the equipment and the construction task satisfies the third parameter association; If so, the device control operation is judged to be normal, and the corresponding normal acquisition parameters are used as qualified acquisition parameters for participating in data analysis to determine the construction progress; otherwise, the device control operation is judged to be abnormal, and an abnormal operation reminder is issued.
[0040] In this embodiment, through precise data analysis and the establishment of association rules, real-time monitoring and abnormal diagnosis of construction equipment are achieved, the accuracy and timeliness of equipment fault detection are improved, and the occurrence of equipment failures is effectively prevented; the matching of construction progress and equipment operating status is ensured, and construction efficiency and safety are improved; through multi-dimensional parameter association analysis, the risk of human misjudgment is reduced, the intelligent management level of the system is enhanced, and reliable guarantees are provided for the smooth progress of construction projects.
[0041] In this embodiment, when the instruction generation unit generates corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, it also analyzes the construction quality, including: Analyze the construction project based on the current operating status of the construction equipment to determine the current construction information of the construction project; Conduct construction quality analysis based on current construction information of the construction project, obtain construction quality evaluation factors, and calculate construction quality assessment data based on the construction quality evaluation factors to obtain construction quality analysis data; Combined with the construction standards, the construction quality analysis data is analyzed in a standardized manner using the following formula to determine whether the construction quality analysis data meets the construction standards and obtain the project construction quality analysis results;
[0042] In the above formula, Analyze the result data of project construction quality. When the project construction quality analysis result is that the construction quality analysis data meets the construction standards, When the project construction quality analysis result is that the construction quality analysis data does not meet the construction standards; For the Construction quality analysis data; For the The lower limit of the construction standard for construction quality analysis data; For the The upper limit of construction standards for construction quality analysis data; For the Error reconciliation parameters of construction standards for construction quality analysis data; The number of data analyzed for construction quality; When the project construction quality analysis result shows that the construction quality analysis data does not meet the construction standards, a cause analysis is performed based on the construction quality analysis data to determine the reasons why the construction quality analysis data does not meet the construction standards and obtain the reasons why the construction project is not standardized; According to the reasons for the non-standard construction projects, combined with the construction planning analysis, it is determined whether the reasons for the non-standard construction projects can be corrected during the construction process, and the cause analysis and judgment results are obtained; When the cause analysis result shows that the cause of the non-standard construction project can be corrected during the construction process, construction correction information is generated based on the cause of the non-standard construction project, and corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. Then, the construction correction information is used to correct and adjust the corresponding operation instructions, so as to guide the construction equipment to adjust the work strategy according to the corrected and adjusted operation instructions; When the result of the cause analysis is that the cause of the non-standard construction project cannot be corrected during the construction process, the corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. At the same time, the difference data between the construction quality analysis data and the construction standard is determined, and danger warning information is generated based on the difference data. In addition, while guiding the construction equipment to adjust the work strategy according to the operation instructions, warning prompts are issued based on the danger warning information.
[0043] In this embodiment, by combining the construction quality, the quality of the construction project can be ensured while ensuring the progress of the construction task, avoiding blindly pursuing the progress of the construction task and ignoring the construction quality, which leads to problems when the construction project is completed, reducing the probability of invalid construction, and improving the safety of the construction project. Moreover, when the construction quality analysis data does not meet the construction standards, by analyzing the cause and determining whether it can be corrected during the construction process, the correction can be made in a timely manner while guiding the construction equipment to adjust the work strategy, avoiding the safety hazards caused by the project construction quality deviating too much from the construction standards, and ensuring the safety of the construction project. When correction cannot be made during the construction process, early warning prompts are used to enable relevant personnel to discover problems with the construction quality, so that relevant personnel can take measures against the construction quality in a timely manner.
[0044] In this embodiment, the deviation warning unit determines whether the current progress has an abnormal deviation based on the comparative analysis result of the construction progress, and triggers an abnormal alarm when the progress deviation reaches a preset threshold, including: Based on the comparative analysis of the construction progress, it is determined whether there is an abnormal deviation in the current construction progress, and a first analysis result is obtained; When the first analysis result shows that the current construction progress has an abnormal deviation, the construction steps are determined for the current construction progress to obtain the main construction steps, and the main construction steps are analyzed to see whether there are other construction steps that are carried out simultaneously to obtain the second analysis result; When the second analysis result is that there are no other construction steps being performed simultaneously, an analysis and judgment is performed based on the abnormal deviation data combined with a preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; When the second analysis result is that there are other construction steps that are carried out simultaneously, the effectiveness of the synchronization of the other construction steps with the main construction steps is analyzed. If the other construction steps that are carried out simultaneously are invalid, analysis and judgment are performed based on the abnormal deviation data in combination with the preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; if the other construction steps that are carried out simultaneously are valid, the impact of the other construction steps that are carried out simultaneously on the main construction steps is analyzed to obtain progress impact data, and then the abnormal deviation data is revised according to the progress impact data, and analysis and judgment are performed based on the revised abnormal deviation data in combination with the preset threshold, and when the revised abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered.
[0045] In this embodiment, by analyzing whether there are other construction steps that are carried out simultaneously with the main construction step, a comprehensive consideration can be made in combination with the actual construction situation when performing progress deviation analysis, so as to avoid the construction progress of a single construction step affecting the accuracy of abnormal alarms. By analyzing the effectiveness of synchronization of other construction steps that are carried out simultaneously with the main construction step, it is possible to avoid the illusion of construction progress affecting other invalid construction steps that are carried out simultaneously, and when other construction steps that are carried out simultaneously are effective, the abnormal deviation data can be revised through the progress impact data, thereby improving the accuracy of analysis and judgment of the abnormal deviation data in combination with the preset threshold value, and reducing the error of abnormal alarms.
[0046] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. Municipal pipeline construction equipment electrical control system, characterized in that: include: The equipment status monitoring module is used to monitor the key parts of the construction equipment, obtain the working status and operating parameters of the construction equipment in real time, analyze the obtained equipment working status and operating parameters, and identify the current operating status of the construction equipment; The construction progress control module is used to compare the current progress with the preset construction plan according to the current operating status of the construction equipment monitored in real time, evaluate the construction progress of the preset construction plan, and generate corresponding control instructions according to the construction progress to control the construction equipment to respond and perform operations; The fault diagnosis and alarm module is used to identify abnormalities in the working status and operating parameters of the acquired construction equipment, and judge whether the equipment status, driving conditions and control operations of the construction equipment are normal based on the identification results, and issue corresponding alarm reminders in case of abnormalities; The fault diagnosis and alarm module is also used to determine the degree of task progress deviation based on the construction progress evaluation results of the construction plan. When the degree of progress deviation is greater than or equal to a preset threshold, the corresponding progress abnormality alarm mechanism is triggered; The energy consumption management module is used to obtain the real-time working status, construction progress and fault data of the equipment, combine energy recovery technology to convert electric energy, and store and recycle the converted electric energy.
2. The municipal pipeline construction equipment electrical control system according to claim 1, characterized in that: Equipment status monitoring module, including: Equipment monitoring unit, which is used to monitor the working status and operating parameters of key parts of construction equipment in real time, analyze the operating change trend based on time series, and identify the current operating status of construction equipment; The battery management unit is used to monitor the battery operating status of construction equipment, evaluate the trend of battery performance changes, and perform battery charging management and overcharge protection; The drive control unit is used to monitor and control the motor drive status of the construction equipment, generate real-time operation status reports, and adjust the motor drive terminal according to the real-time working conditions of the construction equipment.
3. The municipal pipeline construction equipment electrical control system according to claim 2, characterized in that: The battery management unit monitors the battery operating status of construction equipment, specifically: The battery voltage, current, temperature and charge / discharge status are collected based on the preset collection time interval to obtain the real-time operation monitoring data of the battery; Filtering the real-time operation monitoring data according to the effective operation status of the battery to select target operation monitoring data, wherein the target operation monitoring data corresponds one-to-one to the effective operation status of the battery; Performing cluster analysis on the target operation monitoring data according to the data characteristics of the target operation monitoring data, obtaining the voltage operation data group and the capacitance operation data group of the battery, and correcting the voltage operation data group and the capacitance operation data group of the battery in combination with the temperature and the charge and discharge state of the battery; Obtain the value range of the voltage operation data group and the capacitance operation data group of the corrected battery, compare the value range with the preset normal battery operating range, and determine whether the operating state of the battery is normal; Based on the corrected voltage operation data group and capacitance operation data group of the battery, a voltage change curve and a capacitance change curve are drawn, and a total voltage change value and a total capacitance change value of the battery from full charge to a cut-off voltage are calculated; A battery performance evaluation model is constructed based on the voltage change value and the capacitance change value, the battery performance evaluation value is calculated, and the battery performance evaluation value is compared with a preset threshold to determine whether the battery is in normal use.
4. The municipal pipeline construction equipment electrical control system according to claim 3, characterized in that: The battery management unit is also used to comprehensively evaluate the operating parameters of the battery pack, specifically: Obtain actual operating data of construction equipment, analyze motor energy requirements under different operating conditions, and determine the total amount of energy that the battery needs to provide; Based on the operating condition analysis results, determine the equivalent operating capacity of the battery pack under different discharge parameters, determine the discharge data of the battery pack at different rates, and determine the power constraints of the battery pack; Based on the motor energy demand and battery power constraints, the Peukert discharge model of the battery pack is constructed. According to the equivalent working condition capacity, the Peukert equation is used to calculate the actual available capacity of the battery pack, determine the parameter configuration of the battery pack, and perform capacity attenuation compensation on the actual available capacity of the battery pack. The key characteristic parameters of the battery pack are determined based on the actual available capacity and battery life characteristics of the battery pack, and the operating voltage level, discharge depth and rate of the battery pack are adjusted to optimize battery performance and service life.
5. The municipal pipeline construction equipment electrical control system according to claim 4, characterized in that: Construction progress control module, including: The progress comparison unit is used to compare the current construction progress with the preset construction plan based on the current operating status data of the construction equipment monitored in real time, analyze the progress deviation of the construction task, and evaluate in real time whether the construction progress meets the expected plan; The instruction generation unit is used to generate corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, and guide the construction equipment to adjust the working strategy.
6. The electrical control system for municipal pipeline construction equipment according to claim 5, characterized in that: The construction progress control module also includes: Analyze the comprehensive evaluation status of construction equipment at different progress levels and conduct a comprehensive evaluation of the construction progress; Tracking and recording the progress of the comprehensive evaluation of the construction progress, and retrieving the relevant information of the construction project after the comprehensive evaluation is completed, including: construction record data information, resource consumption assessment data information and construction progress comprehensive evaluation data information; Combine the related information of the construction project with the current construction progress to form a corresponding relationship under the current construction progress status; Analyze the corresponding relationship between the current construction progress status and the historical construction progress status to determine the data fluctuation relationship; Filling the data fluctuation relationship into a chart template to generate a construction progress chart, wherein abnormal data is highlighted in the construction progress chart of the construction project; When the data of any construction progress is retrieved, the data information is retrieved for the target construction progress, and the related information under the target construction progress is presented separately in the form of a chart.
7. The municipal pipeline construction equipment electrical control system according to claim 6, characterized in that: Fault diagnosis and alarm module, including: A fault identification unit is used to obtain the working status and operating parameter data of the construction equipment, perform abnormality detection on the construction equipment based on the association between the working status and the operating parameters of the construction equipment, and trigger an alarm mechanism based on the detection results; The deviation warning unit is used to determine whether there is an abnormal deviation in the current progress based on the comparative analysis results of the construction progress, and trigger an abnormal alarm when the progress deviation reaches a preset threshold.
8. The electrical control system for municipal pipeline construction equipment according to claim 7, characterized in that: Fault identification unit, specifically: According to the preset operation standards of the construction equipment, the collected working status and operation parameter data are traversed to identify abnormal data that does not meet the standards; Analyze the time points of abnormal data. If the time interval and the number of data collected do not meet the set normal standards, the corresponding sensor data collection is judged to be abnormal and an alarm is issued; If the time interval of abnormal data meets the standard, the abnormal data is removed from the collected data set, and the collected data that meets the normal standard is retained; Classify the collected data that meets normal standards to obtain the equipment parameters and construction progress control parameters; According to the design specifications and actual working status of the equipment, establish the association rules between the equipment operation parameters and establish the first parameter association of the equipment itself; According to the construction progress and construction environment required by the equipment during the construction process, a second parameter association between the construction progress and the equipment control is established; Comprehensively consider the equipment's operating status and construction progress parameters, establish the constraint relationship between equipment control operations and construction tasks, and determine the third parameter association; Determine whether the parameters of the device itself meet the first parameter association, determine whether the device is in a normal working state, and issue an abnormal device status reminder when an abnormality occurs; Determine whether the construction progress parameter satisfies the second parameter association, ensure that the motor runs under the progress requirement of the construction task, and issue an abnormal device drive reminder when the device load does not meet the progress requirement; After determining that the state of the equipment itself is normal and the equipment drive is normal, judging whether the comprehensive control of the equipment and the construction task satisfies the third parameter association; If so, the device control operation is judged to be normal, and the corresponding normal acquisition parameters are used as qualified acquisition parameters for participating in data analysis to determine the construction progress; otherwise, the device control operation is judged to be abnormal, and an abnormal operation reminder is issued.
9. The electrical control system for municipal pipeline construction equipment according to claim 5, characterized in that: When the instruction generation unit generates corresponding operation instructions according to the progress deviation of the construction task and the real-time monitored equipment status data, it also analyzes the construction quality, including: Analyze the construction project based on the current operating status of the construction equipment to determine the current construction information of the construction project; Conduct construction quality analysis based on current construction information of the construction project, obtain construction quality evaluation factors, and calculate construction quality assessment data based on the construction quality evaluation factors to obtain construction quality analysis data; Combined with the construction standards, the construction quality analysis data is analyzed in a standardized manner using the following formula to determine whether the construction quality analysis data meets the construction standards and obtain the project construction quality analysis results; ; In the above formula, W Analyze the result data of project construction quality. W =1, the project construction quality analysis result is that the construction quality analysis data meets the construction standards. W ≠1, the project construction quality analysis result is that the construction quality analysis data does not meet the construction standards; w i For the i Construction quality analysis data; X i For the i The lower limit of the construction standard for construction quality analysis data; Y i For the i The upper limit of construction standards for construction quality analysis data; δ i For the i Error reconciliation parameters of construction standards for construction quality analysis data; N The number of data analyzed for construction quality; When the project construction quality analysis result shows that the construction quality analysis data does not meet the construction standards, a cause analysis is performed based on the construction quality analysis data to determine the reasons why the construction quality analysis data does not meet the construction standards and obtain the reasons why the construction project is not standardized; According to the reasons for the non-standard construction projects, combined with the construction planning analysis, it is determined whether the reasons for the non-standard construction projects can be corrected during the construction process, and the cause analysis and judgment results are obtained; When the cause analysis result shows that the cause of the non-standard construction project can be corrected during the construction process, construction correction information is generated based on the cause of the non-standard construction project, and corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. Then, the construction correction information is used to correct and adjust the corresponding operation instructions, so as to guide the construction equipment to adjust the work strategy according to the corrected and adjusted operation instructions; When the result of the cause analysis is that the cause of the non-standard construction project cannot be corrected during the construction process, the corresponding operation instructions are generated according to the progress deviation of the construction task and the real-time monitored equipment status data. At the same time, the difference data between the construction quality analysis data and the construction standard is determined, and danger warning information is generated based on the difference data. In addition, while guiding the construction equipment to adjust the work strategy according to the operation instructions, warning prompts are issued based on the danger warning information.
10. The municipal pipeline construction equipment electrical control system according to claim 7, characterized in that: The deviation warning unit determines whether the current progress has abnormal deviation based on the comparative analysis results of the construction progress, and triggers an abnormal alarm when the progress deviation reaches a preset threshold, including: Based on the comparative analysis of the construction progress, it is determined whether there is an abnormal deviation in the current construction progress, and a first analysis result is obtained; When the first analysis result shows that the current construction progress has an abnormal deviation, the construction steps are determined for the current construction progress to obtain the main construction steps, and the main construction steps are analyzed to see whether there are other construction steps that are carried out simultaneously to obtain the second analysis result; When the second analysis result is that there are no other construction steps being performed simultaneously, an analysis and judgment is performed based on the abnormal deviation data combined with a preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; When the second analysis result is that there are other construction steps that are carried out simultaneously, the effectiveness of the synchronization of the other construction steps with the main construction steps is analyzed. If the other construction steps that are carried out simultaneously are invalid, analysis and judgment are performed based on the abnormal deviation data in combination with the preset threshold, and when the abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered; if the other construction steps that are carried out simultaneously are valid, the impact of the other construction steps that are carried out simultaneously on the main construction steps is analyzed to obtain progress impact data, and then the abnormal deviation data is revised according to the progress impact data, and analysis and judgment are performed based on the revised abnormal deviation data in combination with the preset threshold, and when the revised abnormal deviation data reaches the preset threshold, an abnormal alarm is triggered.
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