An electrical instrument detection operation management and control method and system
By establishing an equipment information database and real-time operating condition feedback, combined with the main channel splitting and merging technology, the problem of insufficient correlation management in electrical instrument testing has been solved, achieving efficient and flexible testing process management and improving testing efficiency and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIANJIN HUAJIE PETROLEUM ENGINEERING TECHNOLOGY SERVICE CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-14
AI Technical Summary
The lack of systematic relationship management in the current electrical instrument testing process leads to asynchronous data acquisition, incomplete logic verification, slow response, and affects the maintenance progress.
By establishing an equipment information database, generating testing lines and providing real-time feedback on operating conditions, and performing dynamic scheduling management based on trigger conditions, closed-loop control and adaptive adjustment of the testing process are achieved. The parallel processing capability is enhanced by utilizing the diversion and merging technology of the main channel.
It achieves refined concurrent control and flexible scheduling of the detection process, avoids waiting time caused by serial processing, ensures that the detection logic is consistent with the on-site working conditions, and improves detection efficiency and resource utilization efficiency.
Smart Images
Figure CN122390723A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of electrical instrument testing technology, and specifically to a method and system for controlling electrical instrument testing operations. Background Technology
[0002] Electrical instrumentation is a key component in industrial automation production processes, primarily including temperature instruments, pressure instruments, flow meters, level instruments, analytical instruments, electrical quantity instruments (such as voltage transformers, current transformers, and energy meters), actuators (such as control valves and electric actuators), and safety instrumented systems. To ensure the measurement accuracy, control reliability, and operational safety of electrical instruments, various testing operations must be conducted regularly. These include individual instrument calibration (basic instrument error, variation, hysteresis, etc.), loop testing (testing the complete signal path from sensor to control system), and interlocking testing (verifying logic interlocking functions). These testing operations cover a wide range of areas, involve numerous items, and exhibit close process correlations and data dependencies between different instruments. Currently, electrical instrument testing mostly relies on manual planning and sequential execution of paper-based work orders. Due to the lack of systematic consideration of the upstream and downstream relationships between instruments, related testing items are easily executed in a fragmented manner, resulting in asynchronous data acquisition and incomplete logical verification. When electrical instrument failures or abnormal changes in operating conditions occur, dispatchers find it difficult to obtain information and make dynamic adjustments in a timely manner, and can only communicate temporarily or modify the work order, resulting in slow response, long waiting time, and even affecting the maintenance progress.
[0003] In view of this, the present invention proposes a method and system for controlling electrical instrument testing operations to solve the above problems. Summary of the Invention
[0004] The purpose of this invention is to provide a method and system for controlling electrical instrument testing operations, in order to solve the problems mentioned in the background art.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for controlling electrical instrument testing operations, comprising the following steps: Collect equipment information for each electrical instrument and establish an equipment information database. The equipment information includes instrument code, association information, testing items, and calibration standards. A control center is established for each electrical instrument. The control center generates a test line based on the preset test target and distributes it to the operators. The test line includes multiple test nodes connected in sequence, and each test node corresponds to an electrical instrument. During operation, the operators report the real-time operating status of the electrical instruments to the control center. The control center then schedules and manages the testing line based on the real-time operating status until the testing objective is achieved.
[0006] In a preferred embodiment, the step of collecting equipment information of each electrical instrument and establishing an equipment information database, wherein the equipment information includes instrument code, association information, testing items, and calibration standards, includes: Collect information on the production line and related electrical instruments; Collect the functional roles and upstream and downstream relationships of electrical instruments in the production line, and determine the associated information of each electrical instrument based on its functional roles and upstream and downstream relationships; Collect the specific items that electrical instruments need to be tested in the production line, designate these items as the testing items for each electrical instrument, and determine the calibration standards for each testing item. Each electrical instrument is assigned a unique instrument code, and the instrument code, associated information, test items, and calibration standards of each electrical instrument are used as the equipment information of the corresponding electrical instrument. An equipment information database is established based on the equipment information of each electrical instrument.
[0007] In a preferred embodiment, the step of establishing a control center for each electrical instrument, and generating detection lines based on preset detection targets and distributing them to operators, includes: A control center was built based on the equipment information database; Pre-set testing objectives based on maintenance plans, periodic calibration tasks, or fault handling requirements, wherein the testing objectives include the testing scope, the number of electrical instruments, the testing duration, the testing requirements, and the project priority; The control center sorts and connects multiple detection nodes according to project priority to obtain detection lines, and then distributes the detection lines to the operators.
[0008] In a preferred embodiment, the operator feeds back the real-time operating status of the electrical instruments to the control center during operation. The control center then schedules and manages the testing line based on the real-time operating status until the testing target is achieved. The steps include: The operators inspect the inspection nodes on the inspection line they receive and report the real-time operating status of the electrical instruments corresponding to the inspection nodes to the control center. The real-time operating status includes the inspection status, inspection data, and fault type. Trigger conditions are set for various real-time operating conditions, and the control center schedules and manages the testing line based on the trigger conditions.
[0009] In a preferred embodiment, the step of setting trigger conditions for various real-time operating conditions and the control center scheduling and managing the detection line based on the trigger conditions includes: Configure a detection disk for each detection node, and configure multiple detection grids for each detection disk, where each detection grid corresponds to a data execution interval; A trigger condition is configured for each real-time operating condition. The real-time operating condition that meets the corresponding preset threshold is used as the trigger condition for the corresponding detection grid. The preset threshold is the detection value threshold. When the trigger condition of any detection grid is met, the control center connects the detection grid with the detection grids of other detection nodes based on the association information to obtain the association line, and then schedules and manages the detection line based on the association line.
[0010] In a preferred embodiment, the step of scheduling and managing the detection lines based on the correlation lines includes: A total channel is generated for each detection node, and the total channel contains the data execution intervals corresponding to all detection cells within that detection node; Based on the fulfillment of trigger conditions, the main channel is split and merged. Splitting involves dividing the main channel into multiple independent split channels according to the data execution interval when the trigger conditions determine that synchronous execution is not required. Merging involves re-merging multiple split channels into the main channel according to preset rules when the trigger conditions determine that synchronous execution is required. Based on the detection grid of the detection node, a corresponding number of data receiving points are configured. The detection data obtained in the corresponding diversion channel is received based on the data receiving points. Each diversion channel corresponds to one data receiving point. The control center configures a unique code for each detection grid and data receiving point corresponding to each diversion channel. The detection lines are updated based on the correlation lines, branch lines, and merging lines, and the updated detection lines are redistributed to the operators until all detection targets are completed.
[0011] In a preferred embodiment, the step of splitting and merging the total channel based on the fulfillment of trigger conditions includes: When the trigger condition of a certain detection grid is met, during the detection operation at that detection node, the control center divides the total channel into a corresponding number of diversion channels according to the number of detection grids and the corresponding data execution interval. Each diversion channel corresponds to a data execution interval. The data execution interval of each detection cell within the detection node is determined, and the data execution intervals are sorted according to the sorting rules to obtain the preset execution order. The sorting rules include parameter increment, parameter decrement, or priority order. If the current detection grid has a connection line with other detection nodes, then the flow channel corresponding to the detection grid will be merged with the flow channel corresponding to other detection nodes with the connection line, so that the associated detection items will be executed synchronously. If the current detection grid has no connection line with other detection nodes, the corresponding diversion channel of the detection grid will remain in an independent diversion state so as to execute the detection items without connection lines in parallel.
[0012] The present invention also provides an electrical instrument testing operation control system, comprising: The information collection module is used to collect equipment information of various electrical instruments and establish an equipment information database. The equipment information includes instrument code, association information, test items and calibration standards. The control and distribution module is used to establish a control center for each electrical instrument. The control center generates a detection line based on the preset detection target and distributes it to the operators. The detection line includes multiple detection nodes connected in sequence, and each detection node corresponds to an electrical instrument. The feedback scheduling module is used by operators to report the real-time operating status of electrical instruments to the control center during operations. The control center then schedules and manages the testing line based on the real-time operating status until the testing target is achieved.
[0013] The technical effects and advantages provided by the present invention in the above technical solution are as follows: 1. This invention achieves closed-loop control and adaptive adjustment of the detection process by having operators provide real-time feedback on the operating status of electrical instruments and combining this with preset trigger conditions for dynamic scheduling management. By configuring corresponding trigger conditions for each real-time operating condition through the control center, when a serious fault is detected, timely scheduling can be carried out to deal with emergencies and avoid the detection progress from getting out of control or the potential for faults from escalating. 2. This invention significantly improves the parallel processing capability and resource utilization efficiency of inspection operations by splitting and merging the main channel. The control center automatically generates a corresponding number of split channels based on the number of inspection cells and data execution intervals within the inspection node. Each channel is independently responsible for a data execution interval and is configured with a uniquely coded data receiving point, thereby enabling parallel acquisition and independent judgment of multiple inspection items. For inspection cells with upstream and downstream connections or process linkages, the system automatically merges the corresponding split channels to ensure that related inspection items are executed synchronously, guaranteeing that the inspection logic, inspection data, and actual on-site conditions are consistent. For inspection cells without connections, they maintain an independent split state, enabling parallel operation of tasks without dependencies. This dynamic adaptive control of splitting and merging avoids the waiting time caused by serial processing and ensures the accuracy of related inspection data, thereby maximizing operational efficiency while ensuring inspection quality and truly achieving refined concurrent control and flexible scheduling. Attached Figure Description
[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.
[0015] Figure 1 This is a flowchart of the method of the present invention.
[0016] Figure 2 This is a system block diagram of the present invention. Detailed Implementation
[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] Example 1, please refer to Figure 1 As shown in the figure, the electrical instrument testing operation control method described in this embodiment includes the following steps: Collect equipment information for each electrical instrument and establish an equipment information database. The equipment information includes instrument code, association information, testing items, and calibration standards. A control center is established for each electrical instrument. The control center generates a test line based on the preset test target and distributes it to the operators. The test line includes multiple test nodes connected in sequence, and each test node corresponds to an electrical instrument. During operation, the operators report the real-time operating status of the electrical instruments to the control center. The control center then schedules and manages the testing line based on the real-time operating status until the testing objective is achieved.
[0019] In one embodiment, the step of collecting equipment information of each electrical instrument and establishing an equipment information database, wherein the equipment information includes instrument codes, association information, testing items, and calibration standards, includes: Collect information on the production line and related electrical instruments; Collect the functional roles and upstream and downstream relationships of electrical instruments in the production line, and determine the associated information of each electrical instrument based on its functional roles and upstream and downstream relationships; Collect the specific items that electrical instruments need to be tested in the production line, designate these items as the testing items for each electrical instrument, and determine the calibration standards for each testing item. Each electrical instrument is assigned a unique instrument code, and the instrument code, associated information, test items, and calibration standards of each electrical instrument are used as the equipment information of the corresponding electrical instrument. An equipment information database is established based on the equipment information of each electrical instrument.
[0020] It should be noted that in the actual factory environment (production line), a list of all electrical instruments is obtained through manual inspection or automated data acquisition devices (such as RFID and BIM systems). Electrical instruments may include smart meters, voltage transformers, relay protection devices, etc. By consulting electrical wiring diagrams and process flow diagrams, the functional role of each instrument (such as monitoring, control, protection) and its upstream and downstream connections are determined (for example, the upstream of ammeter A is circuit breaker B, and the downstream is contactor C). These upstream and downstream relationships are recorded as association information. According to national or industry standards (such as DL / T448, GB / T22264), the items that need to be tested for each instrument (such as accuracy, insulation resistance, etc.) and their corresponding calibration standards (such as an error not exceeding ±0.5%) are specified. A globally unique instrument code is assigned to each instrument (formatted as "instrument type-production line number-serial number"). The equipment information of all electrical instruments is stored in a relational database (such as MySQL) to form an equipment information database. This provides complete and accurate basic equipment data for the subsequent generation and scheduling of testing lines, avoiding omissions or errors in testing items due to missing information.
[0021] In one embodiment, the step of establishing a control center for each electrical instrument and generating a detection line based on a preset detection target and distributing it to the operators includes: A control center was built based on the equipment information database; Pre-set testing objectives based on maintenance plans, periodic calibration tasks, or fault handling requirements, wherein the testing objectives include the testing scope, the number of electrical instruments, the testing duration, the testing requirements, and the project priority; The control center sorts and connects multiple detection nodes according to project priority to obtain detection lines, and then distributes the detection lines to the operators.
[0022] It should be noted that an electrical instrument testing and control center is built on the equipment information database as the data foundation, integrating functions such as data display, task (testing item) issuance, operating status monitoring, and scheduling. The control center can be deployed on a server or in the cloud, and can retrieve data such as instrument codes and correlation lines from the equipment information database in real time through interfaces. Based on annual maintenance plans, statutory periodic calibration requirements, and sudden fault alarm information, the objectives of this inspection are set. For example, quarterly calibration of 100 instruments in a workshop, emergency investigation of 20 instruments in a fault alarm area, and comprehensive inspection of instruments on the entire production line are all specified. The scope of inspection, number of instruments, time limit, accuracy requirements, and project priority are clearly defined. Project priorities are divided according to the principles of prioritizing fault handling, key process sections, high-risk areas, and statutory calibration. The control center sorts the inspection nodes corresponding to the instruments to be inspected according to project priority (higher priority is listed first), and connects the inspection nodes into a test line according to the principle of process flow continuity. Finally, the test line is distributed to the designated operators in the form of task work orders (including instrument codes, inspection items, etc.) through mobile terminals (such as PDAs and industrial tablets). In this way, the automatic arrangement and distribution of inspection items are realized, ensuring that high-priority inspection items are processed first, while also taking into account the efficiency of inspection operations.
[0023] In one embodiment, the operator feeds back the real-time operating status of the electrical instruments to the control center during operation. The control center then schedules and manages the testing line based on the real-time operating status until the testing objective is achieved. This process includes the following steps: The operators inspect the inspection nodes on the inspection line they receive and report the real-time operating status of the electrical instruments corresponding to the inspection nodes to the control center. The real-time operating status includes the inspection status, inspection data, and fault type. Trigger conditions are set for various real-time operating conditions, and the control center schedules and manages the testing line based on the trigger conditions.
[0024] It should be noted that during on-site testing, operators use handheld terminals (such as multi-function multimeters, infrared thermal imagers, or the instrument's own HMI interface) to sequentially complete the testing items for each instrument at each testing node according to the testing lines issued by the control center. During the testing process, operators input and upload the testing status of the electrical instrument in real time. The testing status includes normal, abnormal, pending retest, fault, etc. If a fault exists, the fault category is further selected, such as short circuit, open circuit, out of tolerance, communication interruption, etc. All real-time operating condition information is synchronized to the control center in real time. The control center pre-configures corresponding scheduling trigger conditions for different real-time operating conditions, including data threshold triggers and status abnormality triggers. The system is triggered by several factors: data thresholds (e.g., electrical instrument readings exceeding accuracy limits, falling into dangerous zones, or reaching preset thresholds); and abnormal status triggers (e.g., detections indicating serious faults, general faults, or non-compliance). For example, a serious fault detected by an electrical instrument triggers emergency scheduling, a timeout at a detection node triggers project adjustments, or task merging. The control center continuously receives and analyzes real-time operating conditions to determine if preset trigger conditions are met. Once met, the corresponding scheduling is automatically initiated. By feeding back real-time operating conditions and dynamically scheduling based on trigger conditions, closed-loop control of the detection process can be achieved, enabling timely responses to abnormal electrical instrument conditions and preventing the detection progress from spiraling out of control or the potential for faults to escalate.
[0025] In one embodiment, the step of setting trigger conditions for multiple real-time operating conditions and the control center scheduling and managing the detection line based on the trigger conditions includes: Configure a detection disk for each detection node, and configure multiple detection grids for each detection disk, where each detection grid corresponds to a data execution interval; A trigger condition is configured for each real-time operating condition. The real-time operating condition that meets the corresponding preset threshold is used as the trigger condition for the corresponding detection grid. The preset threshold is the detection value threshold. When the trigger condition of any detection grid is met, the control center connects the detection grid with the detection grids of other detection nodes based on the association information to obtain the association line, and then schedules and manages the detection line based on the association line.
[0026] It should be noted that a detection panel can be understood as a set of detection items for an electrical instrument. Each detection cell corresponds to a specific detection sub-task (i.e., detection item) and its parameter range. For example, for a voltage transformer (detection node), its detection panel contains three detection cells: detection cell A corresponds to the voltage data execution range [0V, 100V], detection cell B corresponds to the range (100V, 500V], and detection cell C corresponds to the range (500V, 1000V]. The trigger condition is that if the real-time operating conditions (such as voltage value, temperature value, insulation value, etc.) or detection status meet the corresponding detection cell, then the detection cell is activated. The control center receives real-time operating conditions (such as detection data (detection data can be measured values such as voltage value, temperature value, etc.)). When the trigger condition of detection cell A is met (i.e., the voltage value is within 0V, 100V, etc.), the detection cell is activated. When the voltage is between -100V and 100V, the control center connects the detection grid A with the corresponding detection grid of the downstream meter M based on the correlation information in the equipment information database (e.g., the downstream of the transformer is meter M), forming a correlation line (e.g., transformer low voltage detection → meter low voltage accuracy verification). Here, the correlation line refers to the relevant detection items that need to be added under a certain fault. After multiple correlation lines are generated, the control center rearranges the detection node order in the detection line according to a preset order (e.g., according to voltage parameters from small to large, or according to priority from high to low), connecting the originally independent detection items into a process with logical correlation lines. In this way, an adaptive detection process based on real-time operating conditions and correlation logic is realized, making the detection operation more in line with the actual operating status of electrical instruments and process dependence / correlation lines.
[0027] In one embodiment, the step of scheduling and managing the detection lines based on the correlation lines includes: A total channel is generated for each detection node, and the total channel contains the data execution intervals corresponding to all detection cells within that detection node; Based on the fulfillment of trigger conditions, the main channel is split and merged. Splitting involves dividing the main channel into multiple independent split channels according to the data execution interval when the trigger conditions determine that synchronous execution is not required. Merging involves re-merging multiple split channels into the main channel according to preset rules when the trigger conditions determine that synchronous execution is required. Based on the detection grid of the detection node, a corresponding number of data receiving points are configured. The detection data obtained in the corresponding diversion channel is received based on the data receiving points. Each diversion channel corresponds to one data receiving point. The control center configures a unique code for each detection grid and data receiving point corresponding to each diversion channel. The detection lines are updated based on the correlation lines, branch lines, and merging lines, and the updated detection lines are redistributed to the operators until all detection targets are completed.
[0028] It should be noted that the detection grid corresponds to the triggering conditions of the real-time working conditions. When it is not necessary to execute multiple detection items synchronously (the detection items can be collected independently and are not related), the parallel detection mode is executed, that is, the main channel is split into multiple independent diversion channels according to the data execution interval; if it is determined that synchronous collection is required, the multiple diversion channels are re-merged into the main channel according to the preset rules. The preset rule is as follows: When multiple shunt channels are re-merged into the main channel, they are merged sequentially according to the data execution interval sorting, detection priority, or process flow order. The main channel is essentially the collection of all detection items for that detection node. For example, for a three-phase energy meter detection node, its main channel covers three data execution intervals: voltage, current, and power factor. When a triggering condition (e.g., current mutation rate > 20%) determines that synchronous execution is unnecessary (i.e., parallel execution is required), the control center splits the main channel into three shunt channels: shunt channel 1 for voltage data acquisition, shunt channel 2 for current data acquisition, and shunt channel 3 for power factor calculation. These three shunt channels work independently and in parallel without interference. After each shunt channel independently completes the data acquisition and judgment for its corresponding interval, when a triggering condition determines that synchronous execution is required (e.g., all shunt channels have completed data acquisition), the main channel will be merged into the main channel. When the time for aggregation calculation is reached, the control center re-merges multiple branch channels into the main channel. Within the main channel, the detection data collected from each branch channel is integrated, compared, and comprehensively calculated, including comprehensive error calculation, consistency determination, and range linearity analysis, to form the final detection conclusion for that detection node. This achieves an efficient detection mode of parallel acquisition and centralized judgment. Each detection grid corresponds to a data receiving point; for example, the data receiving point of branch channel 2 specifically receives the effective current value. The control center assigns a unique code (format: node ID-channel number-receiving point ID) to each branch channel and its data receiving point, and binds these codes to the corresponding detection grid. Detection data is sent to the corresponding data receiving point according to the code. This achieves efficient parallel processing and flexible aggregation of detection data, avoiding the waiting time caused by serial processing, while ensuring the accurate attribution of detection data.
[0029] In one embodiment, the step of splitting and merging the total channel based on the fulfillment of trigger conditions includes: When the trigger condition of a certain detection grid is met, during the detection operation at that detection node, the control center divides the total channel into a corresponding number of diversion channels according to the number of detection grids and the corresponding data execution interval. Each diversion channel corresponds to a data execution interval. The data execution interval of each detection cell within the detection node is determined, and the data execution intervals are sorted according to the sorting rules to obtain the preset execution order. The sorting rules include parameter increment, parameter decrement, or priority order. If the current detection grid has a connection line with other detection nodes, then the flow channel corresponding to the detection grid will be merged with the flow channel corresponding to other detection nodes with the connection line, so that the associated detection items will be executed synchronously. If the current detection grid has no connection line with other detection nodes, the corresponding diversion channel of the detection grid will remain in an independent diversion state so as to execute the detection items without connection lines in parallel.
[0030] It should be noted that during the scheduling process, when a detection grid meets the trigger condition, the trigger condition first determines whether synchronous execution is required. If it is determined that synchronous execution is not required (i.e., each detection item can be collected independently and there is no correlation), the control center automatically generates an equal number of diversion channels based on the number of detection grids under that detection node. Each diversion channel is independently responsible for a data execution interval and does not interfere with each other. The control center sorts each data execution interval according to the parameter increment or decrement to determine the preset execution order and avoid execution conflicts. When a subsequent trigger condition determines that synchronous execution is required (e.g., all diversion channels have completed data collection), multiple diversion channels are re-merged into the main channel of this detection node for comprehensive judgment. For detection grids with upstream and downstream correlations and process linkages (i.e., there is a correlation line with other detection nodes), the control center, after completing the diversion and merging operations of this detection node, will... Based on this, the detection line is updated according to the correlation line, and the diversion channel corresponding to the detection grid is synchronized across nodes with the diversion channels corresponding to other detection nodes with correlation lines, so that the associated detection items are started, collected, and judged synchronously. For detection grids without any correlation lines and which can be completed independently, their diversion channels maintain an independent diversion state to achieve parallel detection, maximize work efficiency, and ensure that the detection logic is consistent with the actual working conditions on site. The merging and diversion states can be dynamically switched according to real-time working conditions to ensure that the detection process is both coherent and efficient. Furthermore, through the dynamic adaptive control of diversion and merging, the detection operation resources can be maximized while ensuring detection accuracy, significantly improving the overall detection efficiency and task flexibility. Specifically, taking a temperature transmitter detection node with 4 detection grids as an example: Detection grid 1 corresponds to the interval [0℃, 50℃], detection grid 2 corresponds to (50℃, 100℃], detection grid 3 corresponds to (100℃, 150℃], and detection grid 4 corresponds to (150℃, 200℃). When the trigger condition (actual temperature reaches 120℃) is met by detection grid 3, this trigger condition judgment does not need to be executed synchronously (because each temperature interval can be collected independently and has no inherent correlation). The control center automatically generates 4 parallel distribution channels, each distribution channel corresponding to a temperature interval (data execution interval). The sorting rule is selected as "temperature parameter increment", so the preset execution order is channel 1 → channel 2 → channel 3 → channel 4. When the operator performs full-range detection on the temperature transmitter, the 4 distribution channels simultaneously collect data from different intervals. After all distribution channels have completed data collection... Trigger condition determination needs to be executed synchronously. The control center re-merges the four diversion channels into the main channel of this node (detection node) for comprehensive determination, including full-range linearity analysis. In addition, if there is a correlation between the real-time operating condition corresponding to detection grid 3 and the detection node of the downstream cooling device control instrument (i.e., when the temperature exceeds 100℃, the cooling device response performance needs to be checked), the control center will not merge channel 3 into the main channel of this detection node. Instead, it will update the detection line based on the correlation line and merge channel 3 with the detection channel of the downstream instrument across nodes, so that the two related detection items are started, collected, and judged synchronously. For detection grids 1, 2, and 4 that have no correlation with other nodes, their corresponding diversion channels remain in an independent diversion state, and operators can complete multiple independent detection items in parallel. Furthermore, the control center ensures the consistency of related detection logic through cross-node merging (based on correlation lines), and improves detection speed through parallel diversion and final merging within this detection node, avoiding unnecessary serial waiting. Thus, it is possible to achieve refined concurrent control of detection operations, and significantly improve overall detection efficiency while ensuring the accuracy of detection logic.
[0031] Example 2, please refer to Figure 2 As shown in this embodiment, an electrical instrument testing operation control system includes: The information collection module is used to collect equipment information of various electrical instruments and establish an equipment information database. The equipment information includes instrument code, association information, test items and calibration standards. The control and distribution module is used to establish a control center for each electrical instrument. The control center generates a detection line based on the preset detection target and distributes it to the operators. The detection line includes multiple detection nodes connected in sequence, and each detection node corresponds to an electrical instrument. The feedback scheduling module is used by operators to report the real-time operating status of electrical instruments to the control center during operations. The control center then schedules and manages the testing line based on the real-time operating status until the testing target is achieved.
[0032] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A method for controlling electrical instrument testing operations, characterized in that, Includes the following steps: Collect equipment information for each electrical instrument and establish an equipment information database. The equipment information includes instrument code, association information, testing items, and calibration standards. A control center is established for each electrical instrument. The control center generates a test line based on the preset test target and distributes it to the operators. The test line includes multiple test nodes connected in sequence, and each test node corresponds to an electrical instrument. During operation, the operators report the real-time operating status of the electrical instruments to the control center. The control center then schedules and manages the testing line based on the real-time operating status until the testing objective is achieved.
2. The method for controlling electrical instrument testing operations according to claim 1, characterized in that, The steps of collecting equipment information for each electrical instrument and establishing an equipment information database, wherein the equipment information includes instrument codes, association information, testing items, and calibration standards, include: Collect information on the production line and related electrical instruments; Collect the functional roles and upstream and downstream relationships of electrical instruments in the production line, and determine the associated information of each electrical instrument based on its functional roles and upstream and downstream relationships; Collect the specific items that electrical instruments need to be tested in the production line, take these items as the test items for each electrical instrument, and determine the calibration standards for each test item; Each electrical instrument is assigned a unique instrument code, and the instrument code, associated information, test items, and calibration standards of each electrical instrument are used as the equipment information of the corresponding electrical instrument. An equipment information database is established based on the equipment information of each electrical instrument.
3. The method for controlling electrical instrument testing operations according to claim 1, characterized in that, The steps of establishing a control center for each electrical instrument, and generating detection lines based on preset detection targets and distributing them to operators, include: A control center was built based on the equipment information database; Pre-set testing objectives based on maintenance plans, periodic calibration tasks, or fault handling requirements, wherein the testing objectives include the testing scope, the number of electrical instruments, the testing duration, the testing requirements, and the project priority; The control center sorts and connects multiple detection nodes according to project priority to obtain detection lines, and then distributes the detection lines to the operators.
4. The method for controlling electrical instrument testing operations according to claim 3, characterized in that, The operators report the real-time operating status of the electrical instruments to the control center during operation. The control center then schedules and manages the testing line based on the real-time operating status until the testing objective is achieved. The steps include: The operators inspect the inspection nodes on the inspection line they receive and report the real-time operating status of the electrical instruments corresponding to the inspection nodes to the control center. The real-time operating status includes the inspection status, inspection data, and fault type. Trigger conditions are set for various real-time operating conditions, and the control center schedules and manages the testing line based on these trigger conditions.
5. The method for controlling electrical instrument testing operations according to claim 4, characterized in that, The steps of setting trigger conditions for various real-time operating conditions and the control center scheduling and managing the detection line based on the trigger conditions include: Configure a detection disk for each detection node, and configure multiple detection grids for each detection disk, where each detection grid corresponds to a data execution interval; A trigger condition is configured for each real-time operating condition. The real-time operating condition that meets the corresponding preset threshold is used as the trigger condition for the corresponding detection grid. The preset threshold is the detection value threshold. When the trigger condition of any detection grid is met, the control center connects the detection grid with the detection grids of other detection nodes based on the association information to obtain the association line, and then schedules and manages the detection line based on the association line.
6. The method for controlling electrical instrument testing operations according to claim 5, characterized in that, The steps for scheduling and managing the detection lines based on the correlation lines include: A total channel is generated for each detection node, and the total channel contains the data execution intervals corresponding to all detection cells within that detection node; Based on the fulfillment of trigger conditions, the main channel is split and merged. Splitting involves dividing the main channel into multiple independent split channels according to the data execution interval when the trigger conditions determine that synchronous execution is not required. Merging involves re-merging multiple split channels into the main channel according to preset rules when the trigger conditions determine that synchronous execution is required. Based on the detection grid of the detection node, a corresponding number of data receiving points are configured. The detection data obtained in the corresponding diversion channel is received based on the data receiving points. Each diversion channel corresponds to one data receiving point. The control center configures a unique code for each detection grid and data receiving point corresponding to each diversion channel. The detection lines are updated based on the correlation lines, branch lines, and merging lines, and the updated detection lines are redistributed to the operators until all detection targets are completed.
7. The method for controlling electrical instrument testing operations according to claim 6, characterized in that, The steps for splitting and merging the total channel based on the fulfillment of trigger conditions include: When the trigger condition of a certain detection grid is met, during the detection operation at that detection node, the control center divides the total channel into a corresponding number of diversion channels according to the number of detection grids and the corresponding data execution interval. Each diversion channel corresponds to a data execution interval. The data execution interval of each detection cell within the detection node is determined, and the data execution intervals are sorted according to the sorting rules to obtain the preset execution order. The sorting rules include parameter increment, parameter decrement, or priority order. If the current detection grid has a connection line with other detection nodes, then the flow channel corresponding to the detection grid will be merged with the flow channel corresponding to other detection nodes with the connection line, so that the associated detection items will be executed synchronously. If the current detection grid has no connection line with other detection nodes, the corresponding diversion channel of the detection grid will remain in an independent diversion state so as to execute the detection items without connection lines in parallel.
8. An electrical instrument testing operation control system, used to implement the electrical instrument testing operation control method according to any one of claims 1-7, characterized in that, include: The information collection module is used to collect equipment information of various electrical instruments and establish an equipment information database. The equipment information includes instrument code, association information, test items and calibration standards. The control and distribution module is used to establish a control center for each electrical instrument. The control center generates a detection line based on the preset detection target and distributes it to the operators. The detection line includes multiple detection nodes connected in sequence, and each detection node corresponds to an electrical instrument. The feedback scheduling module is used by operators to report the real-time operating status of electrical instruments to the control center during operations. The control center then schedules and manages the testing line based on the real-time operating status until the testing target is achieved.