A multi-machine centrifuge operation and maintenance loss cost analysis management and control system and method

Abstract

The present application relates to the technical field of data processing and asset operation management, and discloses a multi-machine group centrifuge operation and maintenance loss cost analysis management and control system and method, comprising: a data acquisition unit acquires real-time power consumption data of each centrifuge unit; a loss cost calculation unit constructs a dynamic energy consumption benchmark according to the real-time power consumption data, and calculates a power difference value to convert into cumulative loss cost; a scheduling instruction generation unit generates an operation and maintenance scheduling queue and issues an operation and maintenance scheduling instruction according to the cumulative loss cost when operation and maintenance resources are limited, and extracts a discrete loss acceleration of a delayed centrifuge unit to reduce the original maintenance cost quota and generate a dynamic approximation threshold value, the present application identifies the degradation speed difference through acceleration, realizes resource dynamic optimization scheduling under concurrency limitation, and effectively reduces the global operation loss cost.

Description

Technical Field

[0001] This invention relates to a system and method for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, belonging to the field of data processing and asset operation management technology. Background Technology

[0002] In continuous industrial production processes, parallel-operating centrifuge groups are responsible for solid-liquid separation of materials. Existing equipment monitoring strategies mainly rely on sensors installed at the motor and drum spindle to collect spindle vibration frequency, motor bearing temperature, and real-time speed signals. The equipment's operating status is determined by comparing these signals with preset fixed safety thresholds. This monitoring structure has clear practical value in avoiding catastrophic mechanical failures. However, under long-term high-load operation, fluid separation equipment inevitably experiences latent bearing wear and slight filter screen blockage due to material scouring and continuous mechanical friction. When the accumulated mechanical wear exceeds the initial critical point, the rotating components experience dynamic imbalance and uneven load, leading to increased rotational resistance. At this stage, the drive motor increases its output torque to maintain rated speed, causing an abnormal increase in actual active power. This results in unnecessary energy loss accumulating continuously within the sub-healthy operating cycle within the safety threshold. Since this condition does not reach the physical shutdown limit set by the safety monitoring system, the latent energy loss is transformed into long-term accumulated power consumption.

[0003] Faced with multiple centrifuges entering the later stages of operation simultaneously, the system is constrained by maintenance team quotas and the group control constraints of equipment concurrency degradation. Conventional improvement strategies mainly focus on improving the physical dimensions of individual machines, such as simply increasing sensor acquisition accuracy to detect early signs of failure, or shortening maintenance cycles. Analysis shows that simply improving acquisition accuracy only increases signal redundancy and cannot eliminate power anomalies caused by reasonable fluctuations in production load. Blindly increasing maintenance teams will lead to increased unplanned losses due to frequent downtime. This limitation of focusing on the physical hardware form and monitoring hardware accuracy of individual centrifuges makes existing technologies inadequate when dealing with group control conflicts. The supporting intelligent control methods also have shortcomings at the level of group collaborative scheduling. For example, Chinese invention patent application CN121581822A discloses a digital intelligent laboratory operation and maintenance system based on the dual engines of IoT and AI, but the technology implicitly relies on the nodes of various equipment in the laboratory. The topological relationship of the material flow in a strongly coupled, unidirectional cascaded production line is used to construct the maintenance sequence by evaluating the upstream and downstream blockage and accumulation effects. However, in actual complex production, industrial multi-unit centrifuge arrays often exhibit highly independent and multi-path parallel operation physical boundary constraints. If the above-mentioned software scheduling method based on cascaded topology networks is simply applied to mutually decoupled parallel units, its topology matrix will undergo fundamental degradation. It cannot characterize the discrete deterioration heterogeneity of parallel units due to the lack of physical cascading, nor can it accurately capture the nonlinear steep increase trend when a single unit crosses the energy consumption critical point. This leads to mismatch in the timeliness of resource allocation, causing global operational loss and cost out of control. Existing solutions treat each unit as an isolated whole and lack data processing logic to convert physical degradation into comparable economic data in real time. This causes scheduling conflicts under the condition of limited resources and concurrent operation. Conventional queuing scheduling strategies are prone to causing delayed maintenance of specific units with high loss growth rates, resulting in timeliness mismatch in global resource allocation.

[0004] Therefore, how to filter out power reference fluctuations caused by variable feed loads to accurately extract implicit energy consumption costs, and how to complete dynamic priority arbitration based on unit loss acceleration when maintenance and concurrent resources are limited, has become the technical problem to be solved by this invention. Summary of the Invention

[0005] To address the problems in the background art, the technical solution of the present invention is as follows: A multi-unit centrifuge operation and maintenance loss cost analysis and control system, the system comprising:

[0006] The data acquisition unit is connected in communication with the loss cost calculation unit, and the loss cost calculation unit is connected in communication with the scheduling instruction generation unit. The data acquisition unit is used to acquire the real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array and input the real-time power consumption data into the loss cost calculation unit.

[0007] The loss cost calculation unit is used to construct a dynamic energy consumption benchmark based on the received real-time power consumption data, calculate the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and convert the difference into the cumulative loss cost of the corresponding centrifuge unit.

[0008] The scheduling instruction generation unit is used to generate an operation and maintenance scheduling queue by arranging the multi-unit centrifuge array in descending order according to the accumulated loss cost when operation and maintenance resources are limited. The operation and maintenance scheduling instruction is then assigned to the centrifuge unit at the top of the queue. The scheduling instruction generation unit is also used to extract the discrete loss acceleration of the delayed centrifuge units that have not been assigned operation and maintenance scheduling instructions, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

[0009] Preferably, after the centrifuge unit responds to the operation and maintenance scheduling command and restarts, the data acquisition unit acquires the reset initial power difference within a set time window and inputs it into the scheduling command generation unit; the scheduling command generation unit compares the initial power difference with the set qualification threshold. If the initial power difference is lower than the qualification threshold, the corresponding cumulative loss cost is cleared to zero. If the initial power difference is greater than or equal to the qualification threshold, a maintenance failure re-inspection command is generated and output, and the corresponding cumulative loss cost is maintained.

[0010] Preferably, when the loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, it extracts the power consumption time series of the corresponding centrifuge unit in the historical stable operation cycle, performs a moving average filter on the power consumption time series to eliminate random noise disturbances, and generates a dynamic energy consumption benchmark as a comparison reference for the current control cycle.

[0011] Preferably, when the scheduling instruction generation unit extracts the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction, it is used to obtain the cumulative loss cost of the corresponding delayed centrifuge unit in multiple consecutive control cycles, and calculate the second-order difference of the cumulative loss cost in multiple consecutive control cycles to obtain the discrete loss acceleration that characterizes the rate of increase of the cumulative loss cost.

[0012] Preferably, the loss cost calculation unit calculates the power difference obtained by subtracting the dynamic energy consumption benchmark from the real-time power consumption data, and converts the power difference into the energy consumption increase after multiplying by the set electricity price per unit and the time period, so as to serve as the cumulative loss cost in the management dimension.

[0013] Preferably, the limited operation and maintenance resources refer to the situation where there are multiple centrifuge units in a multi-unit centrifuge array whose cumulative loss cost has reached the original maintenance cost quota, and the total number of centrifuge units exceeds the upper limit of the maintenance capacity set by the system, thereby triggering a state of operation and maintenance resource squeeze in the multi-unit centrifuge array.

[0014] Preferably, when the scheduling instruction generation unit generates the operation and maintenance scheduling queue, it sets the scheduling priority of centrifuge units with discrete loss acceleration greater than 0 to be higher than the scheduling priority of centrifuge units with discrete loss acceleration less than or equal to 0, so as to give priority to allocating operation and maintenance scheduling instructions to centrifuge units in the accelerated deterioration stage.

[0015] Preferably, the system also includes a data audit module; the data audit module is communicatively connected to the loss cost calculation unit and the scheduling instruction generation unit, respectively, and is used to verify the integrity and consistency of real-time power consumption data, cumulative loss cost and dynamic approach threshold data, so as to ensure the authenticity of operation and maintenance loss cost data.

[0016] Preferably, the system also includes a security isolation module; the security isolation module is communicatively connected to the data acquisition unit and the scheduling instruction generation unit, and is used to output an offline isolation status flag to the corresponding centrifuge unit and remove the corresponding centrifuge unit from the operation and maintenance scheduling queue when the cumulative loss cost of any centrifuge unit continues to rise and the corresponding discrete loss acceleration exceeds the set safety threshold.

[0017] A method for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, applied to a system for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, includes the following steps:

[0018] Step S1: Obtain real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array through the data acquisition unit, and input the real-time power consumption data into the loss cost calculation unit;

[0019] Step S2: The loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, calculates the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and converts the difference into the cumulative loss cost of the corresponding centrifuge unit.

[0020] Step S3: When maintenance resources are limited, the scheduling instruction generation unit sorts the multi-unit centrifuge arrays in descending order according to the accumulated loss cost to generate an maintenance scheduling queue, and assigns maintenance scheduling instructions to the centrifuge unit at the top of the maintenance scheduling queue.

[0021] Step S4: Extract the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction through the scheduling instruction generation unit, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. In the analysis and control of operation and maintenance loss costs of multi-unit centrifuges, the data acquisition unit collects the actual active power and feed load, the loss cost calculation unit calls the mapping relationship between load and power to calculate the active power under ideal operating conditions, and the loss cost calculation unit compares the power difference between the two and combines it with the electricity price rate coefficient to generate the additional electricity cost loss rate. This collaborative mechanism eliminates the power interference caused by production load fluctuations, and makes the extracted power difference characterize the hidden energy consumption caused by minor mechanical wear of the equipment. By directly converting the original physical decay parameters into loss costs in the financial management dimension, the response delay of traditional alarms relying on fixed physical thresholds is eliminated, and cross-domain data conversion from material parameters to asset operation decisions is realized.

[0024] 2. When multiple units awaiting processing concurrently reach the maintenance threshold and the number exceeds the concurrent quota of the maintenance team, the scheduling instruction generation unit determines the queue priority through discrete loss acceleration; the mechanism identifies the opportunity cost difference caused by the physical degradation evolution speed of different units by calculating the difference between the loss rate of the current sampling period and the loss rate of the previous adjacent sampling period; the system deviates from the business logic of allocating resources according to the absolute value of cumulative loss or the order of requests, and prioritizes the allocation of maintenance quotas to specific units in the period of accelerated wear and deterioration, so as to avoid units in the stage of nonlinear increase in energy consumption being stuck and waiting due to out-of-order maintenance, and control the secondary loss under the condition of limited global operation and maintenance resources.

[0025] 3. For the remaining units marked as delayed maintenance due to the lack of allocated operation and maintenance scheduling instructions, the scheduling instruction generation unit extracts their current discrete loss acceleration and uses it as a reduction function factor on the original maintenance cost quota of the corresponding unit to generate a downwardly corrected dynamic approximation threshold; the feedback update path feeds forward the future loss deterioration trend into the comparison trigger logic, dynamically lowering the trigger threshold of subsequent sampling periods; this interaction mode enables the delayed units to accelerate towards the response boundary as the waiting period lengthens and the degradation rate increases, using the existing processor's computing logic to complete adaptive negative feedback, curbing the risk of single unit physical wear evolving into system cost runaway. Attached Figure Description

[0026] Figure 1 This is a flowchart illustrating the operation and maintenance loss scheduling process for the multi-unit centrifuge array of the present invention.

[0027] Figure 2 This is a structural diagram of the multi-unit centrifuge array operation and maintenance loss scheduling system of the present invention.

[0028] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0029] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0030] A multi-unit centrifuge operation and maintenance loss cost analysis and control system, the system includes:

[0031] The data acquisition unit is connected in communication with the loss cost calculation unit, and the loss cost calculation unit is connected in communication with the scheduling instruction generation unit. The data acquisition unit is used to acquire the real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array and input the real-time power consumption data into the loss cost calculation unit.

[0032] The loss cost calculation unit is used to construct a dynamic energy consumption benchmark based on the received real-time power consumption data, calculate the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and convert the difference into the cumulative loss cost of the corresponding centrifuge unit.

[0033] The scheduling instruction generation unit is used to generate an operation and maintenance scheduling queue by arranging the multi-unit centrifuge array in descending order according to the accumulated loss cost when operation and maintenance resources are limited. The operation and maintenance scheduling instruction is then assigned to the centrifuge unit at the top of the queue. The scheduling instruction generation unit is also used to extract the discrete loss acceleration of the delayed centrifuge units that have not been assigned operation and maintenance scheduling instructions, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

[0034] Preferably, after the centrifuge unit responds to the operation and maintenance scheduling command and restarts, the data acquisition unit acquires the reset initial power difference within a set time window and inputs it into the scheduling command generation unit; the scheduling command generation unit compares the initial power difference with the set qualification threshold. If the initial power difference is lower than the qualification threshold, the corresponding cumulative loss cost is cleared to zero. If the initial power difference is greater than or equal to the qualification threshold, a maintenance failure re-inspection command is generated and output, and the corresponding cumulative loss cost is maintained.

[0035] Preferably, when the loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, it extracts the power consumption time series of the corresponding centrifuge unit in the historical stable operation cycle, performs a moving average filter on the power consumption time series to eliminate random noise disturbances, and generates a dynamic energy consumption benchmark as a comparison reference for the current control cycle.

[0036] Preferably, when the scheduling instruction generation unit extracts the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction, it is used to obtain the cumulative loss cost of the corresponding delayed centrifuge unit in multiple consecutive control cycles, and calculate the second-order difference of the cumulative loss cost in multiple consecutive control cycles to obtain the discrete loss acceleration that characterizes the rate of increase of the cumulative loss cost.

[0037] Preferably, the loss cost calculation unit calculates the power difference obtained by subtracting the dynamic energy consumption benchmark from the real-time power consumption data, and converts the power difference into the energy consumption increase after multiplying by the set electricity price per unit and the time period, so as to serve as the cumulative loss cost in the management dimension.

[0038] Preferably, the limited operation and maintenance resources refer to the situation where there are multiple centrifuge units in a multi-unit centrifuge array whose cumulative loss cost has reached the original maintenance cost quota, and the total number of centrifuge units exceeds the upper limit of the maintenance capacity set by the system, thereby triggering a state of operation and maintenance resource squeeze in the multi-unit centrifuge array.

[0039] Preferably, when the scheduling instruction generation unit generates the operation and maintenance scheduling queue, it sets the scheduling priority of centrifuge units with discrete loss acceleration greater than 0 to be higher than the scheduling priority of centrifuge units with discrete loss acceleration less than or equal to 0, so as to give priority to allocating operation and maintenance scheduling instructions to centrifuge units in the accelerated deterioration stage.

[0040] Preferably, the system also includes a data audit module; the data audit module is communicatively connected to the loss cost calculation unit and the scheduling instruction generation unit, respectively, and is used to verify the integrity and consistency of real-time power consumption data, cumulative loss cost and dynamic approach threshold data, so as to ensure the authenticity of operation and maintenance loss cost data.

[0041] Preferably, the system also includes a security isolation module; the security isolation module is communicatively connected to the data acquisition unit and the scheduling instruction generation unit, and is used to output an offline isolation status flag to the corresponding centrifuge unit and remove the corresponding centrifuge unit from the operation and maintenance scheduling queue when the cumulative loss cost of any centrifuge unit continues to rise and the corresponding discrete loss acceleration exceeds the set safety threshold.

[0042] A method for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, applied to a system for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, includes the following steps:

[0043] Step S1: Obtain real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array through the data acquisition unit, and input the real-time power consumption data into the loss cost calculation unit;

[0044] Step S2: The loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, calculates the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and converts the difference into the cumulative loss cost of the corresponding centrifuge unit.

[0045] Step S3: When maintenance resources are limited, the scheduling instruction generation unit sorts the multi-unit centrifuge arrays in descending order according to the accumulated loss cost to generate an maintenance scheduling queue, and assigns maintenance scheduling instructions to the centrifuge unit at the top of the maintenance scheduling queue.

[0046] Step S4: Extract the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction through the scheduling instruction generation unit, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

[0047] Example 1: In a continuous production environment for solid-liquid separation in chemical industry, a multi-unit centrifuge operation and maintenance loss cost analysis and control system is deployed in an industrial scenario containing six centrifuge units operating in parallel. In the later stages of operation, each centrifuge unit faces a nonlinear increase in loss costs caused by spindle wear and filter clogging. Furthermore, the factory maintenance team has a concurrent capacity limit, i.e., the maintenance team's concurrent quota is limited to two centrifuge units, resulting in a resource squeeze situation. At this time, the multi-unit centrifuge operation and maintenance loss cost analysis and control system performs the following data conversion, multi-objective arbitration, and threshold feedforward compensation actions. The data acquisition unit obtains the actual active power of the first to sixth centrifuge units in the current control cycle of the multi-unit centrifuge array, and simultaneously collects the current actual feed load of each centrifuge unit. The collected active power and feed load are then input as time-series data streams into the loss cost calculation unit.

[0048] The loss cost calculation unit constructs a dynamic energy consumption benchmark using the received active power and feed load. It extracts the active power time series from the historical stable operating cycles of each centrifuge unit and performs filtering calculations on the active power time series using a sliding time window with a set length of ten sampling periods to eliminate power fluctuation interference caused by reasonable fluctuations in the upstream feed schedule. It outputs the benchmark active power of the corresponding centrifuge unit under ideal working conditions without wear. The loss cost calculation unit calculates the power difference obtained by subtracting the benchmark active power from the actual active power in the current control cycle, and multiplies it by the set current time period electricity rate coefficient and control cycle duration to convert it into a financial characteristic indicator representing the management dimension, namely the current additional electricity cost loss rate of the corresponding centrifuge unit. It then performs an integral accumulation operation on the current additional electricity cost loss rate on the time axis to output the cumulative loss cost of each centrifuge unit.

[0049] When the system continued to run for 480 sampling cycles, due to the group being under high load and partial load conditions for an extended period, the cumulative loss costs of the third, fourth, fifth, and sixth centrifuge units increased to 3200 yuan, 3050 yuan, 3100 yuan, and 3150 yuan respectively, all exceeding the preset original maintenance cost threshold of 3000 yuan. At this point, the total number of units awaiting maintenance was four, exceeding the system's set maintenance concurrent processing capacity boundary of two units per maintenance team. This established a multi-unit maintenance resource constraint state within the system. In response to this constraint, the scheduling instruction generation unit initiated a cross-unit scheduling arbitration procedure. The unit obtained the set of units awaiting maintenance and determined that the total number was large. Within the concurrent quota of the maintenance team, the current additional electricity cost rate of each unit in the set of units to be processed in the current sampling period, as well as the historical additional electricity cost rate in the previous adjacent sampling period, are retrieved respectively. Specifically, the current additional electricity cost rate of the third centrifuge unit is 12.5 yuan / hour, and the historical additional electricity cost rate is 12.0 yuan / hour; the current additional electricity cost rate of the fourth centrifuge unit is 15.0 yuan / hour, and the historical additional electricity cost rate is 13.2 yuan / hour; the current additional electricity cost rate of the fifth centrifuge unit is 11.8 yuan / hour, and the historical additional electricity cost rate is 11.5 yuan / hour; the current additional electricity cost rate of the sixth centrifuge unit is 16.5 yuan / hour, and the historical additional electricity cost rate is 14.0 yuan / hour.

[0050] The dispatch instruction generation unit subtracts the corresponding historical additional electricity cost loss rate from the current additional electricity cost loss rate of each unit, performs a first-order discrete difference operation, and outputs a discrete loss acceleration representing the accelerated energy consumption deterioration characteristics of each unit. Calculations show that the discrete loss acceleration of the third centrifuge unit is 0.5 yuan / square hour, the fourth centrifuge unit is 1.8 yuan / square hour, the fifth centrifuge unit is 0.3 yuan / square hour, and the sixth centrifuge unit is 2.5 yuan / square hour. The system sorts the set of units to be processed in descending order based on the discrete loss acceleration value, establishing a resource allocation priority queue for each unit. The order is: sixth centrifuge unit, fourth centrifuge unit, third centrifuge unit, and so on. Centrifuge unit, fifth centrifuge unit; among them, units with discrete loss acceleration greater than 0 are given high priority, so that operation and maintenance scheduling instructions are allocated to centrifuge units in the accelerated deterioration stage first. According to the order of the resource allocation priority queue, the scheduling instruction generation unit outputs two operation and maintenance scheduling instructions with the same number as the maintenance team's concurrent quota, and accurately allocates them to the sixth centrifuge unit at the top of the queue and the fourth centrifuge unit at the second top, so that they enter the planned shutdown maintenance process; at the same time, the scheduling instruction generation unit intercepts the remaining units in the set of units to be processed that have not been allocated instructions, namely the third centrifuge unit and the fifth centrifuge unit, marks their status as delayed maintenance status, and continues to perform integral operations on the time axis in subsequent control cycles to accumulate their loss costs.

[0051] To prevent delayed units from experiencing exponential energy consumption loss during the waiting period, the dispatch instruction generation unit extracts the current discrete loss acceleration of each remaining unit, calculates the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and uses this difference as the downward-corrected dynamic approximation threshold as the maintenance trigger threshold for the corresponding delayed centrifuge unit in subsequent control cycles. Taking the third centrifuge unit as an example, its current discrete loss acceleration is 0.5. If the preset response coefficient is set to 200, the reduced dynamic approximation threshold is 2900 yuan. The dynamic approximation threshold replaces the original maintenance cost quota of 3000 yuan in the comparison trigger logic of the next sampling cycle, feeding forward. By lowering its trigger boundary, it accelerates its approach to the response boundary as the waiting period lengthens and the decay rate increases, achieving adaptive negative feedback control from a management perspective. Based on the finite state machine conditional transition principle and negative feedback control theory in automatic control engineering, the dynamically updated control threshold explicitly triggers control actions. The scheduling instruction generation unit periodically polls and dynamically compares the cumulative loss cost of each delayed centrifuge unit. When the cumulative loss cost reaches or exceeds the downwardly corrected dynamic approximation threshold determined in the current control cycle, a maintenance scheduling instruction is forcibly output to the corresponding delayed centrifuge unit, driving the unit to shut down and switch from operating condition to maintenance-ready state, cutting off the nonlinear divergence path of ineffective energy consumption. Based on operations research resource allocation... In the multi-server queuing constraint model of the configuration theory, the initial state input of the operation and maintenance resource-constrained state is limited as follows: there are multiple centrifuge units in the multi-unit centrifuge array whose cumulative loss cost has reached the dynamic approximation threshold or the original maintenance cost quota, and the total number of centrifuge units to be processed is greater than 2, causing the total number of pending requests to exceed the system's set maintenance team concurrent processing capacity limit of 2 units. Resource contention occurs in the control loop, activating the preceding descending order sorting based on discrete loss acceleration and the distribution of operation and maintenance scheduling instructions, allocating maintenance resources to the centrifuge unit with the highest deterioration rate. After the sixth and fourth centrifuge units respond to the operation and maintenance scheduling instructions, complete mechanical dismantling and dredging, replace bearings, and restart, the data acquisition form... Within the set no-load test time window, the system obtains the initial power difference value after resetting each reset unit and inputs it into the scheduling instruction generation unit. The scheduling instruction generation unit compares the initial power difference value with the set qualification threshold. If the initial power difference value of the sixth centrifuge unit is found to be lower than the qualification threshold, it proves that the mechanical repair is up to standard. The system then resets the cumulative loss cost corresponding to the sixth centrifuge unit to zero. If the filter of the fourth centrifuge unit is found to be clogged due to misoperation, its initial power difference value is greater than or equal to the qualification threshold. The system then generates and outputs a maintenance failure re-inspection instruction and forcibly maintains the corresponding cumulative loss cost value without resetting it to zero, ensuring the monotonic binding between the accounting status and the actual mechanical physical repair status.

[0052] The entire control process utilizes a data audit module to perform full-process data integrity and consistency verification on the real-time power consumption data collected by each unit, the calculated cumulative loss cost, and the issued dynamic approximation threshold, ensuring the credibility of financial and asset management data. Specifically, for high-frequency time-series real-time power consumption data, the data audit module counts the integrity rate of data packets within each acquisition sliding window. If data loss or non-numeric abnormal null values ​​are detected, a time-series interpolation algorithm is triggered to smooth and repair the data using the average of adjacent forward and backward valid sampling points, ensuring the integrity of the data stream. For cumulative loss cost, at the end of each control cycle, the data audit module performs a reverse matching verification between the currently stored cumulative loss cost scalar value and the electricity cost data stream calculated by integrating the active power difference in historical cycles. A reasonable calculation error threshold of 1% is set for its value; if it exceeds this range, writing is rejected and a data anomaly alarm is generated, thus ensuring the consistency of the accounting data. For the issued dynamic approximation threshold, the data audit module enforces boundary condition interception, and the verification threshold is... Whether the cost is between 0 yuan and the original maintenance cost quota, it prevents illegal negative values ​​or excessively large values ​​from being generated due to network transmission jitter or algorithm overflow, thereby establishing a full-process data security interlock. At the same time, the security isolation module continuously monitors the status of each unit. If the cumulative loss cost of any unit continues to rise and the corresponding discrete loss acceleration exceeds the set safety boundary threshold, it outputs an offline isolation status mark and removes it from the scheduling queue to prevent secondary mechanical accidents. The multi-unit centrifuge operation and maintenance loss cost analysis and control system solves the resource squeeze conflict under the concurrent maintenance needs of multiple units by introducing a loss acceleration parameter based on discrete differential logic. It forces extremely limited maintenance resources to specific units that are in the period of rapid increase in mechanical wear and are prone to high financial expenses. It transforms the equipment management mode from passive threshold alarm repair of a single machine to dynamic resource economic optimization with a global perspective. It avoids the systemic management risk of nonlinear loss cost out of control due to disordered scheduling order. Ultimately, it maximizes the control of ineffective energy consumption and redundant downtime losses of multi-unit centrifuge arrays throughout the entire life cycle.

[0053] Example 2: In a continuous solid-liquid separation production workshop with six centrifuges operating in parallel, this system is deployed in a high-load operating environment. During continuous operation, the uneven deposition of residues inside the drums and wear of the main shaft bearings cause implicit energy consumption to accumulate non-linearly over time. This example aims to verify that under limited maintenance resources, the system can achieve optimal allocation of maintenance resources by quantifying discrete loss acceleration, and verify its adaptive control effect on non-linear cumulative loss costs. The experimental setup includes a data acquisition terminal, a loss cost logic processing server, and an operation and maintenance scheduling terminal. The data acquisition terminal acquires the real-time current and voltage signals of the drive motors of each centrifuge via an Ethernet interface at a sampling frequency of 100Hz, and synchronously calculates the active power through multiplication operations. The loss cost logic processing server has a built-in dynamic energy consumption benchmark construction algorithm. The algorithm extracts the power time series of the centrifuges under new operating conditions, smooths it through a mean sliding filter algorithm, and uses the smoothed power value as the benchmark active power. For any time The system calculates the current actual active power. Compared with the reference active power The difference, i.e. And based on the set electricity price per unit. Calculate the additional electricity cost loss rate at the current moment. .

[0054] To verify the discrete loss acceleration calculation logic, a control group and an experimental group were established for comparison. The experimental group introduced discrete loss acceleration parameters. Its defining formula is ,in, The current additional electricity cost loss rate, This represents the additional electricity cost loss rate from the previous sampling period. For the sampling period, the control group only triggered maintenance based on a fixed numerical threshold. During the test, step interference signals simulating production load fluctuations were superimposed at the feed end of each centrifuge. Data showed that under the condition of feed load fluctuation interference, the control group failed to distinguish between power fluctuations caused by load and implicit energy consumption caused by mechanical loss, resulting in a 15% false alarm rate for maintenance command triggering. The experimental group used the average power of historical stable periods as the dynamic energy consumption benchmark and effectively filtered out load fluctuation interference through filtering, improving the accuracy of implicit energy consumption cost extraction to 98.5%.

[0055] In the 480th sampling period, the cumulative loss cost of all three units reached the 3,000 yuan threshold. At this point, the system's available maintenance team concurrent capacity was only two units. The test group's scheduling logic extracted the discrete loss acceleration of each unit. The calculated cost for the third centrifuge unit is 0.5 yuan / square hour, the fourth centrifuge unit is 1.8 yuan / square hour, and the sixth centrifuge unit is 2.5 yuan / square hour. The numerical values ​​are sorted in descending order. The system prioritizes locking the sixth and fourth centrifuge units and issuing shutdown maintenance commands. Simultaneously, it performs a dynamic threshold update for the third centrifuge unit, automatically lowering the trigger threshold from 3000 yuan to 2900 yuan, enabling the unit to reach the maintenance trigger boundary more quickly in the next cycle. End-of-cycle testing shows that, through the above scheduling arbitration logic, the test group, within a 120-hour test cycle with limited maintenance resources, achieved a 22.6% reduction in total cumulative operating loss cost compared to the control group. Furthermore, it effectively avoided unit over-period operation failures caused by delayed scheduling. For units under boundary conditions, the introduction of discrete loss acceleration... The degradation trend was successfully quantified. The experiment showed that when the discrete loss acceleration exceeded the critical point of 2.0 yuan / square hour, the corresponding cumulative loss cost diverged exponentially, which confirmed the rationality of using physical quantities as scheduling priorities in the system. In the verification of the repair effect, the system automatically judged the repair status of each unit by comparing the initial power difference after reset. When the initial power difference of the sixth centrifuge unit was restored to the benchmark range, the system automatically executed the loss cost reset. The initial power difference of the fourth centrifuge unit was too high due to filter residue. After identifying the physical characteristics, the system refused to reset to zero. The maintenance effect achieved a closed loop binding between the mechanical physical state and management financial accounting.

[0056] Example 3: This example combines Figures 1 to 2 This document describes a system and method for analyzing and controlling the operation and maintenance losses of multi-unit centrifuges. Figure 1 As shown, a method for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges includes steps S1, S2, S3, and S4. Step S1 involves acquiring real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array through a data acquisition unit and inputting the real-time power consumption data into a loss cost calculation unit. Step S2 involves constructing a dynamic energy consumption benchmark based on the received real-time power consumption data through the loss cost calculation unit, calculating the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and converting the difference into the cumulative loss cost of the corresponding centrifuge unit. Step S3 involves... (The text abruptly ends here, so the translation stops here as well.) The scheduling instruction generation unit sorts the multi-unit centrifuge array in descending order according to the cumulative loss cost to generate an operation and maintenance scheduling queue. The operation and maintenance scheduling instruction is assigned to the centrifuge unit at the top of the operation and maintenance scheduling queue. Step S4 is to extract the discrete loss acceleration of the delayed centrifuge units that have not been assigned operation and maintenance scheduling instructions by the scheduling instruction generation unit, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which is used as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

[0057] like Figure 2 As shown, a multi-unit centrifuge operation and maintenance loss cost analysis and control system includes an operation and maintenance scheduling terminal, a loss cost logic processing server, a multi-unit centrifuge array, and a data acquisition terminal. The operation and maintenance scheduling terminal includes a scheduling instruction generation unit, which generates an operation and maintenance scheduling queue and allocates operation and maintenance scheduling instructions. The multi-unit centrifuge array includes a drive motor and a feed load sensor. The drive motor serves as the active power source for the centrifuge unit, and the feed load sensor records the feed mass flow rate. The data acquisition terminal includes a data acquisition unit and a security isolation module. The data acquisition unit acquires real-time power consumption data, and the security isolation module... The module is used to output offline isolation status markers; the loss cost logic processing server contains a loss cost calculation unit and a data audit module. The loss cost calculation unit is used to build a dynamic energy consumption benchmark, and the data audit module is used to verify data integrity and consistency; the multi-unit centrifuge array transmits real-time current and voltage signals and feed mass flow rate to the data acquisition terminal. The data acquisition terminal and the loss cost logic processing server communicate via an Ethernet interface. The loss cost logic processing server transmits the cumulative loss cost dynamic approximation threshold to the operation and maintenance scheduling terminal. The operation and maintenance scheduling terminal outputs operation and maintenance scheduling instructions to the multi-unit centrifuge array.

[0058] Example 4: In a continuous solid-liquid separation production workshop with six centrifuges operating in parallel, this system is deployed in a high-load operating environment to solve the problem of inaccurate resource scheduling priority and implicit energy consumption quantification under the condition of concurrent maintenance of multiple units. During the continuous operation of each centrifuge, due to the uneven deposition of residues inside the drum and the wear of the main shaft bearing, the implicit energy consumption accumulates nonlinearly with the running time. In response to the above working conditions, this example constructs an energy consumption index calibration and adaptive scheduling scheme with physical traceability.

[0059] The data acquisition unit obtains the real-time current of each centrifuge drive motor via an Ethernet interface at a sampling frequency of 100Hz. With voltage The signal is used to synchronously calculate the instantaneous active power through multiplication operations. ,in, The power factor and loss cost calculation unit incorporates a dynamic energy consumption benchmark construction algorithm. This algorithm extracts the active power time series of the centrifuge under new operating conditions. Using a sliding time window with a length of The average value of each sampling point is smoothed using a mean filtering algorithm, and the resulting mean value is the reference active power. For any sampling point The loss cost calculation unit calculates the current actual active power. and The difference To eliminate the pseudo-increment in power caused by changes in feed load, the loss cost calculation unit introduces a feed load correction factor. ,in, This represents the current actual feed load. The corrected power difference is the centrifuge's rated maximum processing load. The loss cost calculation unit will Multiply by the electricity price per unit With time cycle To obtain the additional electricity cost loss rate and on the timeline Perform an integration operation and output the cumulative loss cost of each centrifuge unit. In actual operation, although the underlying current and voltage signals are acquired at a high frequency of 100Hz to capture transient fluctuations, in order to objectively assess the economic losses of assets over a long period, the cost accounting and control scheduling cycle set by the system is actually 24 hours. This means that the cumulative loss cost of the system is settled and accumulated in stages at the end of each day. Therefore, when the system runs to the 480th control scheduling cycle, each centrifuge unit has actually been running at high load for 480 consecutive days. During this industrial service process of tens of thousands of hours, the hidden active power caused by minor wear of bearings and slight clogging of filters continues to climb. After a long period of accumulation, it is finally reflected in the financial management dimension as an additional electricity cost of about 3,200 yuan. This is completely reasonable and self-consistent in terms of physical energy conservation and macroscopic time scale.

[0060] When the system reached the 480th sampling period, the cumulative loss costs of the third, fourth, fifth, and sixth centrifuge units climbed to 3200 yuan, 3050 yuan, 3100 yuan, and 3150 yuan respectively, triggering the maintenance threshold. The scheduling instruction generation unit then adjusted the cost based on the discrete loss acceleration. Priority arbitration was performed on the units to be processed. Calculations showed that the third centrifuge unit... The cost is 0.5 yuan / square meter per hour for the first centrifuge unit, 1.8 yuan / square meter per hour for the fourth centrifuge unit, 0.3 yuan / square meter per hour for the fifth centrifuge unit, and 2.5 yuan / square meter per hour for the sixth centrifuge unit. The scheduling instruction generation unit is based on... The values ​​are sorted from largest to smallest. Maintenance scheduling instructions are output to the sixth and fourth centrifuge units to initiate the planned shutdown maintenance process, and the third and fifth centrifuge units are marked as delayed maintenance.

[0061] To achieve negative feedback control of the delayed units, the dispatch instruction generation unit bases on... Update the maintenance trigger threshold, among which Yuan, Yuan / square hour, taking the third centrifuge unit as an example, the reduced dynamic approximation threshold The threshold is adjusted to 2900 yuan, serving as the trigger boundary for the next cycle. During this process, the magnitude of the preset response coefficient directly determines the feedforward compensation strength for the deteriorating trend of the delayed maintenance unit. Based on long-term operating experience of multiple units in this industrial site, the response coefficient is optimized and limited to an engineering range of 50 to 500. If the coefficient is below 50, the threshold reduction is too small, failing to provide sufficient feedforward response for units in the accelerated decline phase, easily leading to equipment failures due to exceeding their service life. If the coefficient is above 500, even slight acceleration disturbances will cause a drastic reduction in the trigger threshold, leading to frequent over-maintenance and disrupting normal production scheduling. Therefore, this embodiment selects 200 yuan. As an adaptive parameter balancing scheduling efficiency and maintenance costs, this invention also sets the qualification threshold for repair compliance at 5% of the baseline active power. This value represents the upper limit of measurement noise caused by normal grid voltage fluctuations and inherent mechanical oscillations in the drive motor. If the threshold is set below 2%, normal random noise will generate a large number of false alarms indicating maintenance failures. If the threshold is set above 10%, it will be unable to sensitively identify defects such as incomplete bearing alignment or clogged filters. This ensures a monotonic binding between physical repair status and management financial accounting. The repair effect is verified through an no-load test procedure. After the centrifuge is overhauled and restarted, the data acquisition unit obtains the no-load active power. Calculate the power reset difference The system sets a pass / fail threshold. ,like The loss cost calculation unit calculates the cumulative loss cost of the unit. Reset to ;like System maintenance The original values ​​are used to output re-inspection instructions. The closed-loop mechanism ensures that the financial accounting data is always consistent with the actual mechanical wear and repair status of the unit. By translating the abstract maintenance status into specific power difference monitoring, the physical closed-loop verification of maintenance behavior is realized.

[0062] Example 5: In a solid-liquid separation production workshop with a daily processing capacity of over 500 tons of centrifuged slurry, the system faces the engineering challenge of deviations in operational energy consumption evaluation indicators from actual mechanical conditions due to load differences among multiple units. To correct the deviation in the extraction of implicit energy consumption, the system performs spatial mapping processing on the data characteristics at the input end before calculating the baseline power. The system calls upon the feed mass flow rate recorded in real time by the centrifuge feed load sensor. and compare it with the total active power of the drive unit. Least squares regression modeling was performed to establish a linear relationship between power consumption and load. ,in, This is the power consumption factor per unit load. To account for the mechanical loss power term under the corresponding load, the system will measure the actual active power in each control cycle. Substituting into the above model, removing the load-related power components, we can separate out the pure state values ​​that only characterize mechanical micro-wear and internal friction. In this regression modeling process, although the mechanical loss power term itself is a time-varying physical quantity that exhibits long-term nonlinear divergence as mechanical wear intensifies, within the short-term control period set by the system, compared to the high-frequency and drastic fluctuations in the feed mass flow rate, the rate of mechanical state deterioration is extremely slow on the time scale. Therefore, it can be completely regarded as a quasi-static constant term in a local time period. Through this smoothing process of local spatiotemporal decoupling, the least squares regression algorithm can effectively isolate the pollution of long-term mechanical decay on the linear slope calculation when solving the power consumption coefficient per unit load, ensuring that the regression model can converge highly in each short period. Thus, logically, it achieves the technical effect of eliminating interference from high-variable feed load and accurately extracting pure mechanical wear loss.

[0063] To ensure the stability of operation and maintenance resource arbitration, the system targets the calculated discrete loss acceleration. Introducing a smoothing operator based on exponentially weighted moving average ,in, With a smoothing factor of 0.25, the operator effectively suppresses the effects caused by transient load disturbances. Numerical jumps ensure the monotonic evolution of the scheduling priority queue across different operating cycles. When the total number of units to be processed exceeds the maintenance team's concurrent capacity, the system call smoothed out... As the sole arbitration parameter, the unit with the largest growth slope is placed at the head of the priority queue, thereby ensuring that limited maintenance resources are precisely allocated to the centrifuge unit with the fastest trend of mechanical deterioration.

[0064] To achieve closed-loop verification from management and scheduling logic to the underlying physical repair status of equipment, the system forcibly executes an no-load physical benchmark calibration program via a data interface before the centrifuge enters the maintenance station. After maintenance is completed, the centrifuge is continuously run at a rated speed of 2000 rpm under no-load conditions for 300 seconds, and the system records the average active power during this period. System calculation Initial values ​​of the unit under the same operating conditions during the initial stage of system commissioning The difference, and the deviation ratio Compare with the preset pass / fail threshold of 0.02. When the system determines that the repair process has completely eliminated the additional physical losses caused by bearing friction or drum off-center loading, it automatically resets the accumulated loss cost counter; when If the repair quality is determined to be unacceptable physical indicators, the system will prohibit the clearing of accumulated loss costs and automatically mark the unit as being in an abnormal operating state, triggering the maintenance department to conduct a secondary physical structure inspection, thereby achieving a mandatory correlation between the data and the physical maintenance quality.

[0065] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A system for analyzing and controlling the operation and maintenance losses of multi-unit centrifuges, characterized in that the system... include: The data acquisition unit is connected in communication with the loss cost calculation unit, and the loss cost calculation unit is connected in communication with the scheduling instruction generation unit. The data acquisition unit is used to acquire real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array and input the real-time power consumption data into the loss cost calculation unit. The loss cost calculation unit is used to construct a dynamic energy consumption benchmark based on the received real-time power consumption data, calculate the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and convert the difference into the cumulative loss cost of the corresponding centrifuge unit. The scheduling instruction generation unit is used to generate an operation and maintenance scheduling queue by arranging the multi-unit centrifuge array in descending order according to the accumulated loss cost when operation and maintenance resources are limited. The operation and maintenance scheduling instruction is then assigned to the centrifuge unit at the top of the queue. The scheduling instruction generation unit is also used to extract the discrete loss acceleration of the delayed centrifuge units that have not been assigned operation and maintenance scheduling instructions, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

2. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, After the centrifuge unit responds to the operation and maintenance scheduling command and restarts, the data acquisition unit acquires the reset initial power difference within a set time window and inputs it into the scheduling command generation unit. The scheduling command generation unit compares the initial power difference with the set qualification threshold. If the initial power difference is lower than the qualification threshold, the corresponding cumulative loss cost is cleared to zero. If the initial power difference is greater than or equal to the qualification threshold, a maintenance failure re-inspection command is generated and output, and the corresponding cumulative loss cost is maintained.

3. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, When the loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, it extracts the power consumption time series of the corresponding centrifuge unit in the historical stable operation cycle, performs a moving average filter on the power consumption time series to eliminate random noise disturbances, and generates a dynamic energy consumption benchmark as a comparison reference for the current control cycle.

4. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, When the scheduling instruction generation unit extracts the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction, it is used to obtain the cumulative loss cost of the corresponding delayed centrifuge unit in multiple consecutive control cycles, and calculates the second-order difference of the cumulative loss cost in multiple consecutive control cycles to obtain the discrete loss acceleration that characterizes the rate of increase of the cumulative loss cost.

5. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, The loss cost calculation unit calculates the power difference obtained by subtracting the dynamic energy consumption benchmark from the real-time power consumption data, and converts the power difference into the energy consumption increase after multiplying by the set electricity price and time period, so as to serve as the cumulative loss cost in the management dimension.

6. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, Limited maintenance resources refer to a situation in a multi-unit centrifuge array where multiple centrifuge units have accumulated losses that have reached the original maintenance cost quota, and the total number of centrifuge units exceeds the system's set maintenance capacity limit, thus triggering a state of maintenance resource shortage in the multi-unit centrifuge array.

7. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, When the scheduling instruction generation unit generates the operation and maintenance scheduling queue, it sets the scheduling priority of centrifuge units with discrete loss acceleration greater than 0 to be higher than the scheduling priority of centrifuge units with discrete loss acceleration less than or equal to 0, so as to give priority to allocating operation and maintenance scheduling instructions to centrifuge units in the accelerated deterioration stage.

8. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, The system also includes a data audit module; the data audit module is connected to the loss cost calculation unit and the scheduling instruction generation unit respectively, and is used to verify the integrity and consistency of real-time power consumption data, cumulative loss cost and dynamic approach threshold data, so as to ensure the authenticity of operation and maintenance loss cost data.

9. The multi-unit centrifuge operation and maintenance loss cost analysis and control system according to claim 1, characterized in that, The system also includes a security isolation module; the security isolation module is communicatively connected to the data acquisition unit and the scheduling instruction generation unit, respectively, and is used to output an offline isolation status flag to the corresponding centrifuge unit and remove the corresponding centrifuge unit from the operation and maintenance scheduling queue when the cumulative loss cost of any centrifuge unit continues to rise and the corresponding discrete loss acceleration exceeds the set safety threshold.

10. A method for analyzing and controlling the operation and maintenance loss costs of multi-unit centrifuges, applied to the multi-unit centrifuge operation and maintenance loss cost analysis and control system described in claim 1, characterized in that, Includes the following steps: Step S1: Obtain real-time power consumption data of each centrifuge unit in the multi-unit centrifuge array through the data acquisition unit, and input the real-time power consumption data into the loss cost calculation unit; Step S2: The loss cost calculation unit constructs a dynamic energy consumption benchmark based on the received real-time power consumption data, calculates the difference between the real-time power consumption data and the dynamic energy consumption benchmark, and converts the difference into the cumulative loss cost of the corresponding centrifuge unit. Step S3: When maintenance resources are limited, the scheduling instruction generation unit sorts the multi-unit centrifuge arrays in descending order according to the accumulated loss cost to generate an maintenance scheduling queue, and assigns maintenance scheduling instructions to the centrifuge unit at the top of the maintenance scheduling queue. Step S4: Extract the discrete loss acceleration of the delayed centrifuge unit that has not been assigned an operation and maintenance scheduling instruction through the scheduling instruction generation unit, calculate the difference between the original maintenance cost quota and the product of the discrete loss acceleration and the preset response coefficient, and confirm the difference as the dynamic approximation threshold for downward correction, which serves as the maintenance trigger threshold for the corresponding delayed centrifuge unit in the subsequent control cycle.

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