608 results about "System maintenance" patented technology

The invention discloses a high-precision current detection circuit calibration system, and belongs to the technical field of current detection circuit calibration. Comprising a shunt resistor, a Hall sensor array, a chopping amplifier, a low-noise operational amplifier, a temperature sensor, an ADC acquisition unit, an RC low-pass filter, a signal conditioning unit, a main control unit, an environmental parameter adaptive compensation module and a gain adaptive adjustment module. After an original signal is obtained from a multi-channel sensor, a dynamic error model is constructed in combination with temperature data, a long-term imbalance trend is extracted by using a moving average or median filtering algorithm, and real-time compensation is performed through a pre-calibrated temperature-drift function, so that the system maintenance period is remarkably prolonged.

The application relates to the technical field of text label marking, and provides a text specification marking method and system based on a rule corpus, which comprises the following steps: analyzing a policy and regulation document, identifying and marking condition morphemes and conclusion morphemes in the policy and regulation document, constructing a logical relationship between the two by using a large language model, and forming a rule corpus composed of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on a verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking semantic vectors as features and multi-labels as targets, so that a text specification marking model is obtained; and automatically marking target text by using the model. The application significantly improves the accuracy, interpretability and business adaptability of text marking, improves the update quality of a system label data set, and reduces the system maintenance cost.

The invention belongs to the technical field of gas detection, and relates to a ship exhaust gas multi-component synchronous online monitoring system and method based on a laser Raman spectrum. The system comprises a sampling module, a preprocessing module, an analysis module, a data processing module, a blowback module and a flow measurement module. The method comprises the following steps: starting and self-checking the system; sample collection, pretreatment and flow velocity measurement; laser excitation and signal acquisition; carrying out spectrum analysis and concentration inversion; data output and system maintenance; and performing periodic automatic calibration. According to the invention, a complete monitoring process chain from sampling, pretreatment, flow measurement, analysis to back flushing is creatively integrated. The high-efficiency pretreatment and back flushing design greatly reduces the influence of high-dust and high-humidity environment on the analysis system, and ensures the long-term stability and reliability of the system.

The invention discloses an information acquisition system and method suitable for visually impaired people. The system comprises a hardware layer, a driving layer, an operating system layer, a middleware layer and an application layer which are sequentially in communication connection through interfaces. The application layer comprises a voice interaction module, a large model integration module and a braille conversion module; the hardware layer is used for collecting a voice input instruction and outputting a braille character sequence and a voice output result; the voice interaction module is used for converting a voice input instruction into a text input instruction and converting a text output result into a voice output result; the large model integration module is used for analyzing the text input instruction and generating a text output result; and the braille conversion module is used for converting the text output result into a braille character sequence, so that a hardware layer outputs the braille character sequence based on a timestamp alignment technology. Therefore, based on powerful semantic understanding and information retrieval of the large model integration module, accurate information acquisition is realized, and a five-layer decoupling architecture is adopted, so that the convenience of later system maintenance is improved.

The utility model discloses a packing spray tower which comprises a tower body, a gas outlet pipe is arranged at the top of the tower body, a gas inlet pipe is arranged on the side wall of the lower part of the tower body, two screen plates are fixedly arranged in the tower body, a packing layer is arranged on each screen plate, a spray component is arranged on the upper side of each packing layer, a maintenance window is arranged on one side of each spray component, and a gas inlet pipe is arranged on the side wall of the lower part of the tower body. The maintenance window is arranged on the side wall of the tower body, a window cover plate is arranged on one side of the maintenance window, when the spraying assembly is maintained, a maintainer can take down the window cover plate from the maintenance window and then take out the spraying assembly from the tower body from the maintenance window, and the maintenance window is arranged on the side wall of the tower body. And then, a maintainer can directly carry out maintenance operation on the spraying assembly outside the tower body without stretching the body into the tower body through a maintenance window, so that the maintenance of the spraying system of the filler spraying tower is more convenient.

The invention relates to the technical field of text label marking, and provides a text standard marking method and system based on a rule corpus, and the method comprises the steps: analyzing a policy and regulation file, recognizing and marking a condition morpheme and a conclusion morpheme in the policy and regulation file, constructing a logic relation between the condition morpheme and the conclusion morpheme by using a large language model, and marking the rule corpus; forming a rule corpus consisting of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on the verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking the semantic vector as a feature and taking multiple tags as a target to obtain a text specification marking model; and automatically marking the target text by using the model. According to the method, the accuracy, the interpretability and the service adaptability of text marking are remarkably improved, the updating quality of the system label data set is improved, and the system maintenance cost is reduced.

The invention discloses a battery energy storage system predictive maintenance method and system based on a large language model, and relates to the field of battery energy storage system predictive maintenance, and the method comprises the following steps: collecting multi-modal sensor time sequence data of a battery energy storage system, and carrying out the interception through a sliding window to obtain a multi-modal sensor time sequence data fragment; inputting the time series data fragments of the multi-modal sensor into a large language model for feature extraction to obtain a probabilistic semantic tag set; the probabilistic semantic tag set analyzes a causal relationship between probabilistic semantic tags through a fault mode correlator, and calculates to obtain a dynamic risk score and a recommendation action; and adjusting operation parameters of the battery energy storage system according to the dynamic risk score, and executing the recommended action at the same time to realize predictive maintenance of the battery energy storage system. According to the invention, the problem of lack of real-time dynamic labeling during maintenance of the battery energy storage system in the prior art can be solved.

The invention discloses a power grid space image fine labeling method, system and device based on SAM semantic segmentation and a medium, and belongs to the technical field of power system maintenance, and the method comprises the steps: obtaining an initial device label through semantic segmentation model labeling; generating probability distribution of power grid equipment categories through the satellite image, and obtaining a final equipment label through the probability distribution of the power grid equipment categories; collecting defect information of the power grid equipment to generate a defect report, and marking the machine patrol image through the semantic segmentation model in combination with the defect report to obtain a defect mark; correcting the final equipment label and the defect label, and training the semantic segmentation model; according to the method, the semantic segmentation model is combined with the probability distribution of the power grid equipment category, the equipment characteristics in the satellite image under the complex background are extracted, and the image processing capability and the marking accuracy are improved; manual intervention is reduced through entropy value screening data calculation and self-training iteration logic, the labeling and maintenance cost is reduced, and the requirements of a power grid for the image recognition accuracy and the automation degree are met.

The invention discloses urban sewage deep purification equipment capable of dynamically intercepting and feeding back and a purification treatment method.The urban sewage deep purification equipment comprises a reaction tank, a reaction device is fixedly installed in the reaction tank, connecting pipes are symmetrically and fixedly installed on one side of the reaction tank, and one end of each connecting pipe is connected with the reaction device in a matched mode; the water inlet unit is fixedly mounted at the top of one end of the reaction tank. Through the arrangement of the start-stop mechanism, water inflow can be rapidly cut off, sewage and suspended solids are prevented from continuously flowing into the reaction tank, stable operation of the subsequent purification process is effectively protected, time can be bought for workers to clean the suspended solids in the filter frame, the frequency and strength of manual inspection are reduced, meanwhile, the water inflow time is accurately controlled, and the efficiency is improved. Equipment damage caused by excessive blockage of the filter frame can be avoided, the service life of the filter assembly is prolonged, the maintenance cost of the system is reduced, and efficient, stable and low-consumption operation of the whole sewage purification system is guaranteed.

The invention discloses a transmission tower material missing detection method and device based on three-dimensional point cloud data, and belongs to the technical field of power system maintenance, and the method comprises the steps: obtaining the three-dimensional point cloud data of a transmission tower, and carrying out the denoising and thinning processing; classifying the three-dimensional point clouds; different tower material components are separated from the tower point cloud categories by adopting a clustering algorithm, the tower is disassembled into independent tower material components, and geometric parameters are marked; positioning intersection points of the tower material components, screening density peak points as candidate nodes, and verifying the number of the tower material components connected with the candidate nodes and geometric included angle conditions; the three-dimensional point cloud is converted into a topological graph with nodes and edges connected, and it is ensured that the topological graph meets the engineering standard through rule verification; detecting the topological graph based on a preset rule; and for the detected abnormal nodes / edges, reversely deducing theoretical positions and parameters of missing tower material components, generating a three-dimensional visual report and marking missing positions. According to the method, the limitation of traditional manual tower material identification is broken through, and the detection efficiency and reliability are improved.

The invention discloses an intrusion detection rule self-adaptive generation and optimization method based on a large language model, and belongs to the technical field of network security, and the method comprises the steps: collecting and preprocessing multi-source original data, and obtaining a high-quality data set; obtaining a key mode based on the high-quality data set and the fine-tuned large language model, and generating an initial rule template based on the key mode; on the basis of the real-time traffic data and the initial rule template, generating new candidate rules in combination with large language model reasoning, and sorting the candidate rules; performing optimization screening on the candidate rules by adopting a deep reinforcement learning algorithm and a genetic algorithm; and distributing and synchronously updating the optimized and screened candidate rules through a distributed architecture. According to the method, automatic generation and dynamic optimization of the intrusion detection rule are realized, the real-time detection capability of novel unknown threats is remarkably improved, and meanwhile, the false alarm rate and the system maintenance cost are greatly reduced.

The invention relates to the technical field of artificial intelligence, and discloses a heat meter energy consumption behavior abnormity identification method based on a graph neural network, and the method comprises the steps: carrying out the collection and preprocessing of multi-dimensional data; constructing a three-dimensional unified representation model comprising a graph topology encoder, a time domain sequence encoder and a frequency domain feature encoder; a time-frequency joint attention mechanism is realized, and tiny abnormal sensitivity and anti-noise stability are dynamically balanced; constructing a hierarchical self-encoding network, and calculating a reconstruction error on a plurality of abstract hierarchies; calculating an anomaly score based on the reconstruction error distribution characteristics in the unified representation space, and generating an anomaly interpretation report; and optimizing and deploying the model. According to the method, time domain, frequency domain and graph domain information are organically fused, and the detection accuracy rate reaches 95% or above; tiny abnormal signals can be captured, and the abnormal early warning time is advanced to 15-20 days; the false alarm rate is controlled below 3% while high detection sensitivity is maintained; the parameter quantity is reduced by 40%, the calculation complexity is reduced by 58%, and the system maintenance cost is greatly reduced.

The invention relates to the technical field of fault maintenance, and particularly provides an intelligent decision-making system for fault maintenance of multi-type loading and unloading equipment of an ore wharf, which comprises an acquisition and transmission module, a cleaning and extraction module, a fault diagnosis module, a fault pre-control module, a graded early warning module, a resource scheduling module and a system maintenance module. The full-dimensional monitoring of the equipment state can sensitively capture tiny abnormities in the operation of the equipment, find early fault symptoms of bearing wear and hydraulic oil degradation in advance, change the problem of high omission ratio of traditional manual inspection, strive for sufficient processing time for equipment maintenance, enable the equipment maintenance to be changed from dependence on artificial experience to data support, and improve the equipment maintenance efficiency. And the diagnosis efficiency and the prediction accuracy are greatly improved. The problem of conflicts in traditional resource scheduling is effectively solved, reasonable configuration of maintenance resources is achieved, the fault processing period is shortened, the overall efficiency of operation and maintenance of wharf equipment is improved, accurate control over the equipment state is kept, and the method adapts to dynamic changes of operation scenes of multiple types of loading and unloading equipment of an ore wharf.

The invention provides a photovoltaic power generation system fault intelligent diagnosis method and system based on artificial intelligence, and the method comprises the steps: firstly obtaining a photovoltaic power generation system target operation data set which comprises an equipment state data flow, an environment perception data flow and an energy transmission data flow, and carrying out the feature extraction to generate a target feature representation; calling a pre-trained fault intelligent diagnosis model to carry out abnormal mode decoding processing on the target feature representation, generating an intermediate diagnosis result containing an abnormal feature chain, and determining a fault type and a fault propagation network of the photovoltaic power generation system based on the intermediate diagnosis result; and finally, a diagnosis report containing a network topology identifier is generated according to the fault type and the fault propagation network and is used for triggering system maintenance response operation, so that intelligentization and precision of fault diagnosis of the photovoltaic power generation system are realized, and the reliability and the operation and maintenance efficiency of the system are improved.

The invention discloses a business processing method and device based on micro-service, electronic equipment and a storage medium, relates to the technical field of data processing, and compared with the related technology, according to the application, insurance business requests are accurately distributed to corresponding micro-service modules according to the types of the insurance business requests, so that different types of businesses are independently processed by special modules; decoupling and specialized division of system functions are realized, and mutual dependence among modules is reduced, so that the technical problems of high system coupling degree, high maintenance cost, low task processing efficiency and performance bottleneck during high concurrency in the existing insurance service system can be solved; the technical effects of improving the insurance service processing efficiency, reducing the system maintenance cost, enhancing the ability of the system to deal with high-concurrency services, and further improving the insurance service processing quality and the customer experience are achieved.

This invention relates to the field of heat exchange technology, and more particularly to a plug-in frame CDU system and its control method. The plug-in frame CDU system includes an outdoor heat dissipation module, a server heat exchange module, and a power auxiliary module. The outdoor heat dissipation module is used to dissipate heat and cool the heat exchange medium, while the server heat exchange module is used to allow the heat exchange medium to absorb heat from the server. The power auxiliary module includes a power component and a detection component. The input end of the power component is connected to the output end of the outdoor heat dissipation module, and the output end is connected to the input end of the server heat exchange module. The input end of the detection component is connected to the output end of the server heat exchange module, and the output end is connected to the input end of the outdoor heat dissipation module. The outdoor heat dissipation module, power component, server heat exchange module, and detection component are sequentially connected to form a loop, thereby forming a circulating heat exchange system to absorb heat from the server and release the heat to the outdoor environment. This plug-in frame CDU system can reduce energy consumption, reduce operating costs, and simplify system maintenance.

The invention discloses a toughness-driven underwater production system on-condition maintenance decision optimization method and system, and belongs to the field of underwater production system maintenance decision, and the method comprises the steps: predicting the remaining service life of a system, modeling the natural degradation performance of a component based on Weibull distribution, and quantifying the random impact degradation amount by combining a Poisson-normal impact model; performing superposition calculation on the total degradation performance of the system and predicting the remaining service life; predicting oil and gas yield, and fitting historical yield data by adopting an I-type generalized mathematical model; performing real-time toughness evaluation, fusing technical indexes and economic indexes, and calculating a comprehensive toughness value through a performance retention function and a yield stability function; and maintenance decision optimization: taking the real-time toughness value as an input variable, establishing a dual-objective decision model for maximizing the system toughness and minimizing the maintenance cost, and solving an optimal maintenance trigger threshold by adopting a multi-objective optimization algorithm, the maintenance decision is driven through the toughness index, and the reliability and economical efficiency of the underwater production system are effectively improved.

The embodiment of the invention provides a multi-agent-based attack simulation system and method and electronic equipment, and the system comprises an asset detection agent which is used for processing obtained server-side data so as to generate structured environment summary information; the retrieval agent communicates with the asset agent and is used for receiving the environment summary information sent by the asset detection agent, matching known vulnerability information based on the environment summary information and generating a vulnerability utilization execution plan; the execution agent communicates with the retrieval agent and is used for simulating an attack by utilizing an execution plan based on the received vulnerability in the target environment and determining a vulnerability processing result; and the report agent is used for generating a simulation attack report based on the vulnerability processing result and displaying the simulation attack report. According to the technical scheme, the intelligent agents based on various processing functions cooperatively process the penetration testing process, intelligent decision making of penetration testing is achieved, the task processing efficiency and accuracy are improved, manual screening is reduced, and the system maintenance and development cost is reduced.

The invention discloses a multi-language internationalization translation method and system, a medium and equipment, and is applied to a distributed control system.The method comprises the steps that a background processing program reads a user visible text wrapped by an internationalization identifier in a source file and stores the user visible text as a json file; the automatic translation large model translates the user visible text to obtain the translated user visible text, and the background processing program stores the translated user visible text into the json file again; when the distributed control system runs based on a source code, automatically loading a dynamic library, matching a user visible text required to be translated of an internationalized identifier package with a json file, and displaying the user visible text required to be translated as a translated user visible text based on a result returned after matching, the multi-language version can be obtained without modifying a large number of source codes, the system language switching efficiency is improved, the labor cost is reduced, and the system maintenance efficiency is improved.

The invention relates to the technical field of information systems, discloses an intelligent workflow management platform for a free form, and aims to solve the problems that in traditional workflow management, a form structure is tightly coupled with process logic, and the intelligent level and compliance are not guaranteed enough. The platform comprises a form editor module, a free form analysis module, a flow path generation module, a collaborative adjustment module and an intelligent recommendation module. By adopting the technical scheme, the flexibility of form configuration, the intelligent level of workflow generation and the compliance guarantee capability can be improved, and the complexity and the operation risk of system maintenance are reduced.

The invention discloses an application method and equipment of an expandable multi-mode switching embedded software framework, and relates to the field of embedded software development, and the method comprises the following steps: by taking a mode scheduler as a core, defining and registering a mode object through an expandable mode standard interface; the mode scheduler executes the starting function of the initial mode and circularly executes the running function of the current mode, and the parameter manager manages parameters. When the fault detection processor detects a fault and sends a switching request, the mode scheduler calls a switching feasibility judgment function of the current mode to make a decision; and if so, executing old mode exit cleaning, parameter synchronization, new mode starting preparation, fault detection mounting and parameter loading, and putting into operation. According to the method, plug and play of the mode is realized, code modification is limited in the mode, and the mode content is managed and controlled in a centralized manner, so that the system maintenance cost is reduced, the expandability and the stability are improved, and safe and smooth switching and isolation management between the modes are realized.

The invention belongs to the field of computer software and system maintenance, and particularly discloses a software state management and upgrading method and system supporting multi-mode deployment, and the method comprises the steps: collecting a service operation state and resource use data of software, carrying out the comprehensive research and judgment of the service operation state, storing the service operation state, and carrying out the service restart based on a research and judgment result; receiving the software package, calculating a check code of the software package, and storing and recording the information data of the software package, the check code and the storage path in a database based on a preset path; a software upgrading instruction sent by a front end is received, the storage path of the target software package and the stored check code are obtained from the database, and the integrity of the target software package is checked; and deploying the target software package to a specified path, recording upgrading information, and closing the old version service to start the new version service. The operation and maintenance efficiency and safety of software management can be improved.

The invention discloses a system problem analysis method and device based on a Linux system. The method comprises the following steps: starting a data collection service, and collecting the following system data: system software data, system hardware data, kernel operation data and system security data; storing the collected system data in a database; analyzing the system data of the specified time period in the database through a preset rule, determining abnormal data, and generating an analysis result; and displaying the analysis result in a visual data chart form. According to the scheme, the data information existing in the system can be quickly and visually checked, and the time consumed by data arrangement and collection is shortened; when system operation and maintenance work is carried out, possible problems can be found in advance, so that the time consumed for continuously carrying out problem analysis and positioning in the operation and maintenance process is shortened; a visual analysis report can be output, the granularity of data is improved, and operation and maintenance personnel are helped to carry out problem positioning and system maintenance more quickly.

The invention discloses an automatic data calculation method and system based on configuration driving, relates to the technical field of automation of configuration driving, and solves the problems that although standardized data acquisition of multi-source heterogeneous equipment is realized in the prior art, data calculation modeling depends on hard coding; the same function is difficult to reuse so that the development period is long; computational logic is embedded in a program, debugging and modification are difficult, system retransmission is needed for demand change, and the maintenance cost is high; the technical problems that a large amount of manual intervention exists in a calculation link, rules cannot be dynamically adapted according to field requirements, system universality and expandability are poor, project efficiency is restricted, and multi-scene energy data analysis requirements are difficult to meet are solved. According to the method, common model measuring point configuration is set; after common model measuring point configuration information is read, a function registration mechanism is executed; carrying out callback function binding; and setting a function operation mechanism to solve the technical problem.

The utility model provides a hot nozzle with an automatic guide valve needle. The hot nozzle comprises an HD body, a valve needle assembly arranged in the HD body, a hot nozzle body, a nozzle core sleeve, a sealing ring and a heat insulation cap, wherein the sealing ring and the heat insulation cap are located at one end of the HD body; a conical sealing surface and a ceramic lining are arranged at the outlet end of the hot nozzle body; the valve needle assembly is provided with a stepped shaft structure, a conical sealing head and a split type guide sleeve. A graphite self-lubricating layer is arranged on the inner wall of the split type guide sleeve, and the thickness is 0.05-0.2 mm; the dynamic compensation assembly comprises an elastic compensation ring and a floating gap; the radial width of the floating gap is 0.02-0.1 mm, and radial fine adjustment of the guide sleeve is achieved through melt pressure; the elastic compensation ring is a high-temperature alloy spring, and the adjustable range of the pre-tightening force is 50-200N; the spiral angle of the spiral flow guide groove in the inner wall of the ceramic lining is 15-45 degrees, and in practical application, the production and machining time and the system maintenance time can be effectively saved, the valve needle is effectively prevented from being deviated, the overall service life of a system is guaranteed, and the production efficiency of customers is improved.

The utility model provides a battery pack which comprises a lower box body, a top cover, an upper cover body and an electric system assembly, a first accommodating space is arranged in the lower box body, a battery cell stack is accommodated in the first accommodating space, the top cover is used for sealing the first accommodating space, the upper cover body is located on the side, away from the lower box body, of the top cover, a second accommodating space is defined by the upper cover body and the top cover, and the electric system assembly is arranged in the second accommodating space. The electrical system assembly is located in the second containing space, so that the second containing space and the first containing space are completely isolated by the top cover, it is ensured that the situation that the core stack is mistakenly shocked when the electrical system is maintained in the later period is avoided, and the risk of external short circuit is avoided; besides, the electric system assembly is located above the battery cell stacking body, the arrangement of the electric system assembly utilizes the space of the battery pack in the height direction, the layout compactness of the battery pack is improved, the internal structure layout of the battery pack is optimized, and the volume grouping rate of the battery pack is further improved.

The invention discloses a processing method for correctable errors of a graphics processor and electronic equipment, relates to the technical field of servers, and aims at the graphics processor to determine a flexible processing strategy for correctable errors from double angles of error reporting time and error reporting times, so that the occupation of correctable error processing on the processor and bus resources is greatly reduced. Based on an intelligent time window and time threshold mechanism, the method can distinguish instantaneous interference from hardware faults, so that excessive interference of accidental errors on the system is avoided, the problem of hardware degradation can be warned in advance, and sufficient time is won for system maintenance.

This utility model relates to the field of wind power yaw technology and discloses a waste oil collection device for the maintenance of a wind turbine yaw system. The device includes a yaw main wheel and a track component. The track component includes a calibration plate with a fixing groove at the top. A fixing component is inserted into the inner wall of the fixing groove, and a snap-fit ​​component is fixed to the bottom of the inner wall of the fixing groove. A snap-fit ​​groove is formed at the bottom of the fixing component, and the inner wall of the snap-fit ​​groove is snap-fitted to the surface of the snap-fit ​​component. A sloping shovel is fixed to the side of the fixing component away from the calibration plate, and a backhoe is fixed to the side of the sloping shovel closer to the bottom of the calibration plate. This utility model secures the fixing component to the fixing groove of the calibration plate, ensuring that the bottom of the sloping shovel and the backhoe are tightly fitted to the top of the calibration plate. Thus, during the forward rotation of the yaw main wheel, the sludge on the inner wall of the yaw main wheel is scooped up by the sloping shovel, and the backhoe similarly scoops up the sludge during the reverse rotation. Workers only need to clean the sloping shovel and backhoe periodically.

A maintenance device 100 for coupling with an electrical circuit 102 of an electric vehicle for testing the low-voltage battery system of the electric vehicle comprises electrical connectors 536A / B, which are configured to be coupled to terminals of a low-voltage battery 123 of the vehicle 102's low-voltage battery system and electrically coupled to a DC-DC converter 125 of the vehicle 102, which is used to charge the low-voltage battery 123. A measuring circuit is coupled to the electrical connectors 536A / B. A controller coupled to the measuring circuit is configured to measure a parameter of the low-voltage battery 123 and a parameter of the DC-DC converter 125 and, in response, to determine a state of the low-voltage battery 123 and the DC-DC converter 125.

Maintenance kit for a hydraulic system equipped with suction (13) and delivery (14) pipes that define a first connection interface (61), the kit comprising: - at least one pump, said pump having a second connection interface configured for reversible coupling with said first connection interface (61); - a connector element (50) equipped with a third connection interface (51, 52); wherein the third connection interface (51, 52) of said connector element (50) is dimensionally and functionally identical to the second connection interface of said pump, so that said connector element (50) and said pump are mutually interchangeable for coupling with the second connection interface of the hydraulic system, said first, second, and third connection interfaces being configured for coupling by means of reversible fastening means (60) that ensures a hermetic seal of the system under pressure without the need for additional sealing materials.