13 results about "Operation time" patented technology

The invention provides an automobile air conditioner control method and device, a storage medium and an automobile air conditioner. The automobile air conditioner control method comprises the following steps of obtaining current environment temperature outside an automobile and current heating accumulation operation time of the air conditioner; and determining whether an air outlet and / or an airinlet of the air conditioner are covered with ice and snow or not according to the current environment temperature outside the automobile and the current heating accumulation operation time. The scheme provided by the invention can be used for solving the problem that due to the fact that the air outlet and / or the air inlet of the automobile air conditioner are covered with ice and snow, the problem that the heating effect of the air conditioner is reduced is solved.

The invention relates to the technical field of data processing, in particular to a concentrator intelligent fusion terminal with an equipment running state monitoring function, which comprises a processor and a memory, the processor executes a computer program of the memory to implement the following steps: acquiring a device non-mechanical state coefficient and a device mechanical state coefficient at each moment within a reference operation period of the concentrator; dividing the reference operation time period into at least two time periods, forming a two-dimensional characteristic value by the equipment mechanical state coefficient and the equipment non-mechanical state coefficient at each moment in each time period, performing clustering to obtain a multi-dimensional clustering result index of each time period, and obtaining a multi-dimensional clustering result index of each time period according to the difference of the multi-dimensional clustering result indexes of each time period. According to the method, the clustering reference time period of each moment in the preset future operation period is obtained, the two-dimensional characteristic values of any moment and each moment in the clustering reference time period are obtained and clustered, the operation state monitoring result is obtained, and the accuracy of equipment operation state monitoring is improved.

The invention relates to the technical field of computers, and discloses a deterministic time delay coroutine scheduling method and electronic equipment, which are used for controlling the running time of a coroutine and ensuring that the coroutine is executed on time. In the method, the electronic equipment determines operation time information of a first coroutine, and the operation time information of the first coroutine comprises a first expected operation duration and a first expected operation end moment; the electronic equipment determines target time information of the first coroutine according to the running time information of the first coroutine, the target time information of the first coroutine is used for indicating the estimated running time length of the first coroutine, and the target time information of the first coroutine comprises a first estimated starting moment and a first estimated ending moment. Therefore, the electronic equipment can estimate the starting moment and the ending moment of the operation of the first coroutine based on the expected operation duration and the expected ending moment of the first coroutine, so that the operation time of the coroutine can be controlled, the coroutine is ensured to be executed on time, and the time delay problem is avoided.

The embodiment of the present invention provides a task abnormality alarm method and device, the method includes, when detecting an abnormality detection request for any task group, obtaining task information of the task group from a task database, constructing a first operation time matrix through the current operation time of each of k first tasks, and constructing a second operation time matrix through the historical operation time of each of k first tasks in a first preset historical period, performing matrix decomposition on the second operation time matrix, determining a first operation time estimation value matrix, determining a first correlation value between the first operation time matrix and the first operation time estimation value matrix, and determining that at least one of the first tasks has an operation timeout abnormality when the first correlation value is less than a first preset threshold. In this way, the scheme can make an accurate judgment on the task operation timeout abnormality through the first operation time estimation value matrix, thereby effectively reducing the missed alarm rate and false alarm rate of the task operation timeout abnormality alarm.

The invention discloses an illumination operation and maintenance monitoring method and system based on work track recognition, and belongs to the field of monitoring. The illumination operation and maintenance monitoring method based on work track recognition comprises the following steps: carrying out digital processing on a distributed maintenance work order; the method comprises the following steps of: marking a maintenance site required by a work order, a specified operation time window and a specific equipment number to be maintained to form an electronic task list, ensuring accurate transmission and uniqueness of an operation instruction through digitalization of the maintenance work order, and completely eradicating wrong maintenance and missed maintenance caused by fuzzy information from the source; maintenance personnel are strictly restrained to arrive at a designated place at a set time, and the timeliness and the in-place accuracy of operation and maintenance are directly improved. Staying duration analysis is introduced, maintenance management is deepened from presence to operation, and false behaviors of non-maintenance in presence are effectively identified and prevented; and an objective and quantitative data basis is provided for evaluating the authenticity, timeliness and completion rate of operation and maintenance work.

The invention provides a product assembly process starting and finishing time correction method and device, equipment and a medium, and relates to the technical field of product assembly management. The method comprises the following steps: identifying a station image to obtain a target detection identification result; matching category data in the target detection and recognition result with a process operation feature data model to determine a target assembly process, and recording process operation recognition and detection time of the target assembly process; based on each process operation identification detection time of the target assembly process, determining the operation time of the target assembly process; and comparing the operation time with the reference operation time to determine the starting and finishing state of the target assembly process, and correcting the reference operation time to obtain the target operation time when the starting and finishing state is abnormal. Based on the above content, the problem that the product assembly progress is difficult to effectively monitor in the prior art can be improved.

The drying time prediction method acquires an operation condition at the time when a first drying machine (10) starts operation; acquires a first actual operation time of each of one or more first operations performed in the past with respect to the first drying machine (10); acquires operation end time information output from a learned model (245) by inputting the operation condition and first actual information based on the first actual operation time to the learned model (245), the operation end time information being about a time of end of operation resulting from the start of the operation; and outputs first information based on the operation end time information.

The invention discloses a method and system for automatically calculating commissioning time, equipment and a medium. The method comprises the following steps: acquiring current information of the equipment; judging the state type of the equipment according to the current information of the equipment, wherein the state type of the equipment comprises a decommissioning state and a non-decommissioning state; according to the method, the system, the equipment and the medium, the current millisecond timestamp is determined, the commissioning duration of the equipment is calculated according to the current millisecond timestamp and the state type of the equipment, and the commissioning duration of the equipment can be accurately calculated in real time through the method, the system, the equipment and the medium.

The invention provides a technology station operation time consumption prediction method and system. The technology station operation time consumption prediction method comprises the following steps: obtaining position information of a debugging machine, personnel and a vehicle; determining the position of the dispatching machine in the station; the method comprises the following steps: determining key nodes in an operation process by taking fixed production elements in a technical station as key markers; based on division of an operation area in a station, positioning a station track, and dynamically positioning a transfer machine and personnel; and calculating the position relationship of all production elements in the station in real time, and predicting the time consumption of the disintegration operation and the marshalling operation. According to the technical scheme, high-precision prediction of time consumption of disassembly operation and marshalling operation of the technical station is realized; the operation time consumption can be pre-judged in real time, the method has the remarkable advantages of being high in effectiveness and timeliness, and the efficiency and accuracy of operation management of the technical station are greatly improved.

A valve control apparatus including: an operating time measurement unit that measures an operating time of a valve based on an operation pressure of the valve and whether the valve is open or closed; and a command control unit that receives an opening command directed to the valve and transmitted from a control apparatus, and transmits the opening command to the valve in a delayed manner based on the operating time and a predetermined reference time.

A hand-held surgical tool control method for orthopedic surgery and related equipment, in the method, the operation space of the surgical tool is divided into several operation regions; the force data, posture data and acceleration data of the surgical tool are collected; the tool jitter frequency and tool jitter amplitude of the surgical tool are identified according to the time domain distribution characteristics of the force data and acceleration data; the fatigue index of the operator is calculated based on the tool jitter frequency and tool jitter amplitude, and the mapping relationship between the fatigue index and the operation time is established; the dynamic safety boundary is obtained by adjusting the safety operation boundary according to the fatigue index; in the case that the distance between the surgical tool and the dynamic safety boundary is less than the preset distance, the shortest path from the current position of the surgical tool to the dynamic safety boundary is calculated; the reverse force feedback vector is generated based on the shortest path; the reverse force feedback vector is converted into a force feedback control signal, the safety and efficiency of the surgeon during the operation are improved.

This estimation device identifies, for each of eight ranges, an operation time during which the bearing temperature and the rotation speed are within the range, and estimates the occurrence of peeling or the like on the basis of the operation time for each of the eight ranges and a corrected rated life for each of the eight ranges.

The invention discloses a method for monitoring the running state of a running entity under an AUTOSAR CP framework, and the method comprises the steps: initializing a running entity monitoring module, setting a running entity number and a test point number, initializing a to-be-recorded parameter list, setting a running time sequence expectation diagram, a single monitoring time length and the number of measurement times, and starting the running entity monitoring; respectively calling a test point recording function at the beginning and the end of the monitored running entity through a C / S interface of the RTE, recording a sequence relation of the running entity during running, and customizing a running numerical value of a to-be-tested parameter and a timestamp of a test point; according to a set monitoring time length, continuously monitoring an operation time sequence of the operation entity; and after the monitoring time is over, comparing whether the actually measured operation time sequence is consistent with the expected time sequence, if so, not recording the current state of the operation entity, otherwise, recording the current operation time sequence, and recording the parameter state and the timestamp under each test point so as to check the reason for the deviation of the time sequence.