Monocrystalline silicon differential pressure transmitter intelligent measurement method and system

Abstract

The invention relates to the technical field of intelligent measurement, and particularly discloses an intelligent measurement method and system for monocrystalline silicon differential pressure transmitters, and the method comprises the steps: generating a measurement optimization instruction once every preset duration, extracting measurement data from a data storage unit, recognizing the measurement data, and determining the feature value of each transmitter; randomly determining the resource input proportion of each transmitter, and adjusting the resource input proportion according to the characteristic value to obtain the resource input proportion of each transmitter; and allocating a bandwidth to each transmitter according to the resource input proportion, obtaining measurement data, and analyzing the measurement data to obtain a measurement result. According to the method, the measurement optimization instruction is generated regularly, the resource input proportion of each transmitter is determined randomly, and then the randomly determined scheme is evaluated and optimized, so that a better measurement data acquisition scheme conforming to the actual situation is determined, and the resource utilization rate is extremely high.

Description

Technical Field

[0001] The present invention relates to the field of intelligent measurement technology, and in particular to an intelligent measurement method and system for a single crystal silicon differential pressure transmitter. Background Art

[0002] The single crystal silicon differential pressure transmitter is a high-precision, high-stability pressure measurement device, which is widely used in various industrial fields, including the oil and gas industry, the chemical and pharmaceutical industry, the power and energy industry, and the water treatment and environmental protection industry. The existing scenarios for using single crystal silicon differential pressure transmitters are mostly multi-point monitoring scenarios. It does not monitor only one or two points, but monitors an area. This requires the installation of multiple single crystal silicon differential pressure transmitters to collect multi-point data. In the multi-point collection process, there is a problem of data order, especially under the premise of limited bandwidth. The existing technology does not actually consider this problem. The conventional measurement data acquisition method is still a multi-threaded acquisition method, and the bandwidth is not intentionally adjusted. How to provide a measurement process that is more in line with the actual state is the technical problem that the technical solution of the present invention wants to solve. Summary of the invention

[0003] The object of the present invention is to provide an intelligent measurement method and system for a single crystal silicon differential pressure transmitter to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: A single crystal silicon differential pressure transmitter intelligent measurement method, the method comprising: Based on the transmitter tag, the measurement data is acquired and counted, and a data storage unit for each transmitter is constructed; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; At preset time intervals, a measurement optimization instruction is generated, measurement data is extracted from a data storage unit, the measurement data is identified, and a characteristic value of each transmitter is determined; The resource input ratio of each transmitter is randomly determined, and the resource input ratio is adjusted according to the characteristic value, and the operation is repeated. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; Bandwidth is allocated to each transmitter according to the resource input ratio, measurement data is acquired, the measurement data is analyzed, measurement results are obtained, and the resource input ratio is adjusted synchronously; the amplitude of adjusting the resource input ratio is less than a preset threshold.

[0005] As a further solution of the present invention: the steps of generating a measurement optimization instruction once every preset time period, extracting measurement data from a data storage unit, identifying the measurement data, and determining the characteristic value of each transmitter include: Generate a measurement optimization instruction once every preset time period; The measurement data at each moment is read from the data storage unit of each transmitter, and the measurement data at each moment is processed into a function to obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; Determine the characteristic value of the transmitter according to the derivative characteristics and integral characteristics of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

[0006] As a further solution of the present invention: the step of randomly determining the resource input ratio of each transmitter, adjusting the resource input ratio according to the characteristic value, and executing the step cyclically, when the adjusted resource input ratio reaches the preset output condition, obtaining the resource input ratio of each transmitter includes: The resource investment ratio of each transmitter is randomly determined, and the preset number of cycles are executed to obtain the preset number of initial solutions; the sum of the resource investment ratios of all transmitters is one; Calculate the demand input ratio based on the characteristic value of each transmitter; For any initial plan, compare the demand input ratio and resource input ratio of each transmitter to determine the historical optimal allocation plan; Count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; Adjust each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; The process is executed in a loop. When the adjusted initial plans reach the preset output conditions, the final overall optimal allocation plan is read to obtain the resource investment ratio of each transmitter.

[0007] As a further solution of the present invention: for any initial solution, the step of comparing the demand input ratio and resource input ratio of each transmitter to determine the historical optimal allocation solution includes the following steps: For the same transmitter, compare the demand input ratio and resource input ratio and calculate the difference rate; Count the difference rates of each transmitter and calculate the average of the difference rates as the evaluation value of the current solution; The plan with the smallest evaluation value in the historical adjustment process is selected as the historical optimal allocation plan; The step of counting the historical optimal allocation solutions of all initial solutions and determining the overall optimal allocation solution comprises: The historical optimal allocation plan of all initial plans is counted, and the plan with the smallest evaluation value is selected as the overall optimal allocation plan.

[0008] As a further solution of the present invention: the step of adjusting each initial solution according to the overall optimal allocation solution and the historical optimal allocation solution comprises: Calculate the adjustment step size based on the overall optimal allocation plan and the historical optimal allocation plan; Read the most recently adjusted plan of the initial plan and adjust it according to the adjustment step size; The calculation process of adjusting the step size is: ; The adjustment process is: ; Indicates The first The adjustment step size for the next adjustment is: Indicates The first The adjustment step size for the next adjustment is: is the preset inertia weight, and is the preset learning factor, and is a random number between [0,1]; For the The historical optimal allocation plan of the scheme, is the current overall optimal allocation plan; Indicates The scheme is in After the adjustment, Indicates The scheme is in The adjusted plan: The output conditions include: the average of the adjustment steps of all schemes is less than a preset threshold; and the data structure of the threshold is the same as the data structure of the adjustment step.

[0009] As a further solution of the present invention: the steps of allocating bandwidth to each transmitter according to the resource input ratio, acquiring measurement data, analyzing the measurement data, obtaining measurement results, and synchronously adjusting the resource input ratio include: Allocate bandwidth to each transmitter based on resource investment ratio; Acquire measurement data based on the allocated bandwidth, input the measurement data into a preset analysis model, and obtain the degree of abnormality; Generate warning information based on the degree of abnormality; Determine an additional ratio according to the abnormality degree, and adjust the resource input ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree; The process of determining the additional ratio is as follows: ; In the formula, is the additional ratio, Indicates abnormality, Indicates the total number of transmitters.

[0010] The technical solution of the present invention also provides a single crystal silicon differential pressure transmitter intelligent measurement system, the system comprising: A data storage module, used to obtain and count measurement data based on transmitter tags, and to construct a data storage unit for each transmitter; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; The characteristic value calculation module is used to generate a measurement optimization instruction every preset time period, extract the measurement data from the data storage unit, identify the measurement data, and determine the characteristic value of each transmitter; The resource input adjustment module is used to randomly determine the resource input ratio of each transmitter, adjust the resource input ratio according to the characteristic value, and execute it cyclically. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; The measurement data application module is used to allocate bandwidth to each transmitter according to the resource input ratio, obtain measurement data, analyze the measurement data, obtain measurement results, and synchronously adjust the resource input ratio; the amplitude of adjusting the resource input ratio is less than a preset threshold.

[0011] As a further solution of the present invention: the eigenvalue calculation module includes: An instruction generating unit, used for generating a measurement optimization instruction once every preset time period; The function fitting unit is used to read the measurement data at each moment in the data storage unit of each transmitter, perform functional processing on the measurement data at each moment, and obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; A calculation execution unit, used for determining a characteristic value of the transmitter according to a derivative characteristic and an integral characteristic of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

[0012] As a further solution of the present invention: the resource input adjustment module includes: An initial scheme generating unit is used to randomly determine the resource input ratio of each transmitter, and execute the preset number of cycles to obtain the preset number of initial schemes; the sum of the resource input ratios of all transmitters is one; A demand calculation unit, used to calculate the demand input ratio according to the characteristic value of each transmitter; A historical optimal determination unit is used to compare the demand input ratio and resource input ratio of each transmitter for any initial plan to determine the historical optimal allocation plan; An overall optimal determination unit, used to count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; An adjustment execution unit, used for adjusting each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; The loop execution unit is used for loop execution. When the adjusted initial plans reach the preset output conditions, the final overall optimal allocation plan is read to obtain the resource investment ratio of each transmitter.

[0013] As a further solution of the present invention: the measurement data application module includes: an allocation execution unit for allocating bandwidth to each transmitter according to a resource input ratio; A data analysis unit, used to obtain measurement data based on the allocated bandwidth, input the measurement data into a preset analysis model, and obtain an abnormality degree; A warning information generating unit, used to generate warning information according to the abnormality degree; An additional adjustment unit, used to determine an additional ratio according to the abnormality degree, and adjust the resource input ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree; The process of determining the additional ratio is as follows: ; In the formula, is the additional ratio, Indicates abnormality, Indicates the total number of transmitters.

[0014] Compared with the prior art, the beneficial effects of the present invention are: the present invention periodically generates measurement optimization instructions, randomly determines the resource investment ratio of each transmitter, and then evaluates and optimizes the randomly determined scheme, thereby determining a better measurement data acquisition scheme that fits the actual situation, and analyzes the monitoring scene based on the measurement data to realize intelligent measurement function, with extremely high resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0016] Figure 1 This is a flow chart of the intelligent measurement method of the single crystal silicon differential pressure transmitter.

[0017] Figure 2 This is the first sub-process flowchart of the intelligent measurement method of the single crystal silicon differential pressure transmitter.

[0018] Figure 3 This is the second sub-process flowchart of the intelligent measurement method of the single crystal silicon differential pressure transmitter.

[0019] Figure 4 This is the third sub-process block diagram of the intelligent measurement method of the single crystal silicon differential pressure transmitter.

[0020] Figure 5 This is the structural block diagram of the single crystal silicon differential pressure transmitter intelligent measurement system. DETAILED DESCRIPTION

[0021] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0022] Figure 1 The flowchart of the intelligent measurement method of the single crystal silicon differential pressure transmitter is as follows. In an embodiment of the present invention, a single crystal silicon differential pressure transmitter intelligent measurement method is provided, and the method includes: Step S100: Acquire and count measurement data based on transmitter tags, and construct a data storage unit for each transmitter; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; In the present invention, the monocrystalline silicon differential pressure transformer is collectively referred to as a transmitter. The transmitter is installed in a certain scene. Measurement data can be obtained based on the transmitter. The measurement data needs to contain an identity tag and a time tag. The identity tag indicates which transmitter sends the measurement data, which is the transmitter tag in the above content. The time tag is the time point at which the measurement data is obtained. These are necessary parameters for obtaining data, and the acquisition process is not complicated.

[0023] Step S200: generating a measurement optimization instruction once every preset time period, extracting measurement data from a data storage unit, identifying the measurement data, and determining a characteristic value of each transmitter; At regular intervals, a measurement optimization instruction is generated. The purpose of the measurement optimization instruction is to adjust the resource allocation of each transmitter. The resource that needs to be allocated in this application is bandwidth, which is used to adjust the data transmission speed of the measurement data of each transmitter; the measurement data is extracted from the data storage unit, the measurement data is identified, and the characteristic value of each transmitter is determined. The characteristic value is used to characterize the importance of the measurement data and indicates the degree of resource demand. The larger the characteristic value, the more resources are needed.

[0024] Step S300: randomly determine the resource input ratio of each transmitter, adjust the resource input ratio according to the characteristic value, and execute it cyclically. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; The total amount of resources in different scenarios is different. What this application wants to provide is a migratable resource adjustment plan. Therefore, the parameter of ratio is used to characterize the resource investment situation, randomly determine the resource investment ratio of each transmitter, adjust the resource investment ratio according to the characteristic value, and continuously execute the adjustment process. When the adjusted resource investment ratio reaches the preset output condition, the final adjusted resource investment ratio is the resource investment ratio of each transmitter. It should be noted that the resource investment ratio in this application is the ratio relative to the total amount of resources, and the sum of the resource investment ratios of all transmitters is one.

[0025] In addition, the adjustment process of this application is a cyclic process. The function of the characteristic value is to evaluate the quality of each adjustment result. The cycle is executed multiple times to obtain multiple adjustment results, and the best solution is selected as the final solution.

[0026] Step S400: allocating bandwidth to each transmitter according to the resource input ratio, acquiring measurement data, analyzing the measurement data, obtaining measurement results, and synchronously adjusting the resource input ratio; adjusting the resource input ratio to a value less than a preset threshold; When the resource input ratio is determined, bandwidth is allocated to each transmitter according to the resource input ratio, and measurement data is obtained based on the allocated bandwidth. This process is actually equivalent to step S100. In other words, the bandwidth of the acquisition process of step S100 changes periodically. The measurement data can be analyzed to obtain measurement results. This depends on the specific scenario. This application will not go into details and a conventional data analysis solution can be used. The focus of this application is that, based on the measurement results, it is also necessary to synchronously adjust the determined resource input ratio. For example, for some special transmitters, a high resource input ratio is required, but this adjustment is "fine-tuning", that is, on the basis of the determined resource input ratio, some fine-tuning is performed, such as within a range of 5%. The method for achieving fine-tuning is relatively simple, and some auxiliary resources can be additionally equipped to meet the additional needs of each transmitter. Of course, adjustments can also be made within limited resources, but this method is more complicated, which involves which transmitters need to reduce resources to meet the resource increase needs of other transmitters.

[0027] Specifically, in practical applications, assuming there are 100% of resources, they can be divided into 90% of resources and 10% of resources. 90% of resources are used as direct resources and allocated according to the resource input ratio. 10% are used as auxiliary resources for fine-tuning. If the demand cannot be met, it will not be met. At this time, the original resource amount of each transmitter will not be reduced.

[0028] Figure 2 The first sub-flow chart of the intelligent measurement method of the single crystal silicon differential pressure transmitter is as follows: the steps of generating a measurement optimization instruction once every preset time, extracting measurement data from the data storage unit, identifying the measurement data, and determining the characteristic value of each transmitter include: Step S201: Generate a measurement optimization instruction once every preset time period; Step S202: reading the measurement data at each moment from the data storage unit of each transmitter, performing functional processing on the measurement data at each moment to obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; Step S203: determining the characteristic value of the transmitter according to the derivative characteristic and the integral characteristic of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

[0029] In an example of the technical solution of the present invention, the calculation process of the characteristic value is limited, and a measurement optimization instruction is generated once every preset time period. Each measurement optimization process requires a separate analysis of each transmitter, and the measurement data at each moment is read from the data storage unit of each transmitter. The measurement data at each moment is functionalized to obtain a measurement function, and the characteristic value of the transmitter is determined based on the derivative characteristics and integral characteristics of the measurement function to characterize the importance of the transmitter.

[0030] Among them, the functionalization process can adopt the conventional functionalization scheme of discrete data, and the obtained derivative features include: calculating the derivative function of the measurement function, querying the function segment greater than the preset derivative threshold in the derivative function, calculating the time interval of the function segment, and then merging them to obtain the total duration. The total duration reflects how long the data of the transmitter has mutations. The longer the time, the more unstable the measurement data of the transmitter, the more important the data, and the larger the eigenvalue; the obtained integral features include: calculating the integral of the measurement function within the measurement optimization instruction generation cycle, which actually represents the total amount of data. The larger the total amount, the more important the data, and the larger the eigenvalue; the total duration and the integral are added based on the preset weight coefficient to obtain the final eigenvalue, and the eigenvalue is proportional to the total duration and the integral.

[0031] Figure 3 The second sub-flow diagram of the intelligent measurement method of the single crystal silicon differential pressure transmitter is as follows. The resource input ratio of each transmitter is randomly determined, the resource input ratio is adjusted according to the characteristic value, and the steps of cyclic execution are performed. When the adjusted resource input ratio reaches the preset output condition, the step of obtaining the resource input ratio of each transmitter includes: Step S301: randomly determine the resource investment ratio of each transmitter, execute the preset number of cycles, and obtain the preset number of initial solutions; the sum of the resource investment ratios of all transmitters is one; Step S302: Calculate the demand input ratio according to the characteristic value of each transmitter; Step S303: for any initial solution, compare the demand input ratio and resource input ratio of each transmitter to determine the historical optimal allocation solution; Step S304: Count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; Step S305: adjusting each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; Step S306: Execute in a loop. When the adjusted initial plans reach the preset output conditions, read the final overall optimal allocation plan to obtain the resource investment ratio of each transmitter.

[0032] In an example of the technical solution of the present invention, the process of determining and adjusting the resource input ratio is specifically described. In fact, the particle swarm algorithm is used. First, multiple schemes are randomly determined, such as 30 or 50. Each scheme includes the resource input ratio of each transmitter. The obtained scheme is called the initial scheme; then, the demand input ratio is calculated according to the characteristic value of each transmitter. The relationship between the characteristic value and the demand input ratio is a preset value. In general, the conversion can be achieved by using a linear function.

[0033] For any initial plan, the plan can be evaluated by comparing the demand input ratio and resource input ratio of each transmitter in the plan. When the plan is continuously adjusted, an optimal plan can be determined in real time based on the evaluation results, which is called the historical optimal allocation plan of the transmitter. In each adjustment, the historical optimal allocation plans of all transmitters are counted, and the best one is selected from these plans, which is called the overall optimal allocation plan. According to the overall optimal allocation plan of each adjustment and the historical optimal allocation plan of each transmitter, the resource input ratio of each transmitter is adjusted to obtain the next adjustment result, and the adjustment process is executed cyclically. When the adjusted initial plans meet the preset output conditions, the final overall optimal allocation plan is read. The final overall optimal allocation plan includes the resource input ratio of each transmitter.

[0034] As a preferred embodiment of the technical solution of the present invention, the step of comparing the demand input ratio and resource input ratio of each transmitter for any initial solution to determine the historical optimal allocation solution includes the following steps: For the same transmitter, compare the demand input ratio and resource input ratio and calculate the difference rate; Count the difference rates of each transmitter and calculate the average of the difference rates as the evaluation value of the current solution; The plan with the smallest evaluation value in the historical adjustment process is selected as the historical optimal allocation plan; The step of counting the historical optimal allocation solutions of all initial solutions and determining the overall optimal allocation solution comprises: The historical optimal allocation plan of all initial plans is counted, and the plan with the smallest evaluation value is selected as the overall optimal allocation plan.

[0035] The demand input ratio determined by the characteristic value plays an evaluation function. Specifically, for the same transmitter, the demand input ratio and the resource input ratio are compared to calculate the difference rate. The difference rate can be the absolute value of the difference between the demand input ratio and the resource input ratio divided by the demand input ratio. Once determined, the calculation process of each transmitter is the same; for a plan, the plan includes the resource input ratios of multiple transmitters, and accordingly, multiple difference rates can be calculated. The difference rates of each transmitter are counted, and the average difference rate is calculated as the evaluation value of the current plan. The evaluation value reflects the difference between it and the actual optimal state. The smaller the evaluation value, the better the plan.

[0036] For any initial plan, it selects the plan with the smallest evaluation value during multiple adjustments as the historical optimal allocation plan; each initial plan has a historical optimal allocation plan. In this application, assuming that 30 plans are initially generated, there are 30 historical optimal allocation plans. Among all the historical optimal allocation plans, the plan with the smallest evaluation value is selected to obtain the overall optimal allocation plan.

[0037] As a preferred embodiment of the technical solution of the present invention, the step of adjusting each initial solution according to the overall optimal allocation solution and the historical optimal allocation solution includes: Calculate the adjustment step size based on the overall optimal allocation plan and the historical optimal allocation plan; Read the most recently adjusted plan of the initial plan and adjust it according to the adjustment step size; The calculation process of adjusting the step size is: ; The adjustment process is: ; Indicates The first The adjustment step size for the next adjustment is: Indicates The first The adjustment step size for the next adjustment is: is the preset inertia weight, and is the preset learning factor, and is a random number between [0,1]; For the The historical optimal allocation plan of the scheme, is the current overall optimal allocation plan; Indicates The scheme is in After the adjustment, Indicates The scheme is in The adjusted plan.

[0038] In an example of the technical solution of the present invention, the adjustment process of the solution is described. It is essentially a particle swarm algorithm. Each solution corresponds to a particle. Each solution in the present invention is actually abstracted into an array. Each serial number in the array corresponds to a transmitter, and each value corresponds to a resource investment ratio. Since the number of transmitters is limited and known, and They are all arrays of the same dimension. The addition operation in the above process is the addition operation of the array.

[0039] Specifically, the output conditions include: the average of the adjustment step lengths of all schemes is less than a preset threshold; the data structure of the threshold is the same as the data structure of the adjustment step length; as the number of cycles increases, Item and The item will become smaller and smaller, and the probability of adjusting the step size will become smaller and smaller ( and is uncertain, but the overall trend is getting smaller and smaller). The average of the adjustment steps of all schemes will also get closer to a certain threshold (array). When the conditions are met, the loop will be jumped out.

[0040] It is worth mentioning that there is a simpler output condition, which is to first determine an adjustment number, such as one hundred times, and then exit the loop after the adjustment process has been executed one hundred times.

[0041] Figure 4 The third sub-flow diagram of the intelligent measurement method of the single crystal silicon differential pressure transmitter is shown in FIG. 1 , wherein the steps of allocating bandwidth to each transmitter according to the resource input ratio, acquiring measurement data, analyzing the measurement data, obtaining measurement results, and synchronously adjusting the resource input ratio include: Step S401: Allocate bandwidth to each transmitter according to the resource input ratio; Step S402: obtaining measurement data based on the allocated bandwidth, inputting the measurement data into a preset analysis model, and obtaining anomaly degree; Step S403: generating warning information according to the abnormality degree; Step S404: determining an additional ratio according to the abnormality degree, and adjusting the resource investment ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree.

[0042] In an example of the technical solution of the present invention, the application process of the resource input ratio is explained. After the final resource input ratio is obtained, a bandwidth is allocated to each transmitter according to the resource input ratio, measurement data is obtained based on the allocated bandwidth, and the measurement data is input into a preset analysis model to obtain an abnormality degree. When the abnormality degree reaches a preset abnormality threshold, a warning message is generated, and then an additional ratio is determined according to the abnormality degree, and the resource input ratio is adjusted according to the additional ratio; wherein the additional ratio is proportional to the abnormality degree.

[0043] The process of determining the additional ratio is as follows: ; In the formula, is the additional ratio, Indicates abnormality, Indicates the total number of transmitters.

[0044] The function of the additional ratio is to predetermine the additional resource amount, and then multiply the additional ratio by the additional resource amount to get the final additional resource amount.

[0045] It is worth mentioning that there is another way, which is to sort the transmitters in descending order according to the abnormality. After the descending order is completed, the abnormality of the transmitters is read in turn and the additional ratio is calculated. The calculation method is: , The correction factor is preset. The meaning of this method is that the greater the abnormality, the greater the additional ratio. This method can meet the resource requirements of transmitters with higher abnormality, but for transmitters with lower abnormality (transmitters at the back), it may not be possible to increase additional resources because the sum of the additional ratios reaches 100%. Of course, a peak value can also be provided for each transmitter. ,when achieve When As the additional resource amount, the total amount of additional resources is The product of the bandwidth and the transmitter can ensure that each transmitter can obtain additional resources; in the technical solution of the present invention, the additional resources are bandwidth.

[0046] Figure 5 1 is a structural block diagram of a single crystal silicon differential pressure transmitter intelligent measurement system. In an embodiment of the present invention, a single crystal silicon differential pressure transmitter intelligent measurement system, the system 10 includes: A data storage module 11 is used to obtain and count measurement data based on transmitter tags, and to construct a data storage unit for each transmitter; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; The characteristic value calculation module 12 is used to generate a measurement optimization instruction every preset time period, extract the measurement data from the data storage unit, identify the measurement data, and determine the characteristic value of each transmitter; The resource input adjustment module 13 is used to randomly determine the resource input ratio of each transmitter, adjust the resource input ratio according to the characteristic value, and execute it cyclically. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; The measurement data application module 14 is used to allocate bandwidth to each transmitter according to the resource input ratio, obtain measurement data, analyze the measurement data, obtain measurement results, and simultaneously adjust the resource input ratio; the amplitude of adjusting the resource input ratio is less than a preset threshold.

[0047] Furthermore, the eigenvalue calculation module 12 includes: An instruction generating unit, used for generating a measurement optimization instruction once every preset time period; The function fitting unit is used to read the measurement data at each moment in the data storage unit of each transmitter, perform functional processing on the measurement data at each moment, and obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; A calculation execution unit, used for determining a characteristic value of the transmitter according to a derivative characteristic and an integral characteristic of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

[0048] Specifically, the resource input adjustment module 13 includes: An initial scheme generating unit is used to randomly determine the resource input ratio of each transmitter, and execute the preset number of cycles to obtain the preset number of initial schemes; the sum of the resource input ratios of all transmitters is one; A demand calculation unit, used to calculate the demand input ratio according to the characteristic value of each transmitter; A historical optimal determination unit is used to compare the demand input ratio and resource input ratio of each transmitter for any initial plan to determine the historical optimal allocation plan; An overall optimal determination unit, used to count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; An adjustment execution unit, used for adjusting each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; The loop execution unit is used for loop execution. When the adjusted initial plans reach the preset output conditions, the final overall optimal allocation plan is read to obtain the resource investment ratio of each transmitter.

[0049] Furthermore, the measurement data application module 14 includes: an allocation execution unit for allocating resource input ratios to allocate bandwidth to each transmitter; A data analysis unit, used to obtain measurement data based on the allocated bandwidth, input the measurement data into a preset analysis model, and obtain an abnormality degree; A warning information generating unit, used to generate warning information according to the abnormality degree; The additional adjustment unit is used to determine the additional ratio according to the abnormality degree, and adjust the resource input ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent measurement method for a single crystal silicon differential pressure transmitter, characterized in that: The method comprises: Based on the transmitter tag, the measurement data is acquired and counted, and a data storage unit for each transmitter is constructed; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; At preset time intervals, a measurement optimization instruction is generated, measurement data is extracted from a data storage unit, the measurement data is identified, and a characteristic value of each transmitter is determined; The resource input ratio of each transmitter is randomly determined, and the resource input ratio is adjusted according to the characteristic value, and the operation is repeated. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; Bandwidth is allocated to each transmitter according to the resource input ratio, measurement data is acquired, the measurement data is analyzed, measurement results are obtained, and the resource input ratio is adjusted synchronously; the amplitude of adjusting the resource input ratio is less than a preset threshold.

2. The intelligent measurement method of single crystal silicon differential pressure transmitter according to claim 1, characterized in that: The steps of generating a measurement optimization instruction once at a preset time interval, extracting measurement data from a data storage unit, identifying the measurement data, and determining the characteristic value of each transmitter include: Generate a measurement optimization instruction once every preset time period; The measurement data at each moment is read from the data storage unit of each transmitter, and the measurement data at each moment is processed into a function to obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; Determine the characteristic value of the transmitter according to the derivative characteristics and integral characteristics of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

3. The intelligent measurement method of single crystal silicon differential pressure transmitter according to claim 1, characterized in that: The step of randomly determining the resource input ratio of each transmitter, adjusting the resource input ratio according to the characteristic value, and executing the step cyclically, when the adjusted resource input ratio reaches the preset output condition, obtaining the resource input ratio of each transmitter includes: The resource investment ratio of each transmitter is randomly determined, and the preset number of cycles are executed to obtain the preset number of initial solutions; the sum of the resource investment ratios of all transmitters is one; Calculate the demand input ratio based on the characteristic value of each transmitter; For any initial plan, compare the demand input ratio and resource input ratio of each transmitter to determine the historical optimal allocation plan; Count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; Adjust each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; The process is executed in a loop. When the adjusted initial plans reach the preset output conditions, the final overall optimal allocation plan is read to obtain the resource investment ratio of each transmitter.

4. The intelligent measurement method of single crystal silicon differential pressure transmitter according to claim 3 is characterized in that: The step of comparing the demand input ratio and resource input ratio of each transmitter for any initial solution to determine the historical optimal allocation solution includes: For the same transmitter, compare the demand input ratio and resource input ratio and calculate the difference rate; Count the difference rates of each transmitter and calculate the average of the difference rates as the evaluation value of the current solution; The plan with the smallest evaluation value in the historical adjustment process is selected as the historical optimal allocation plan; The step of counting the historical optimal allocation solutions of all initial solutions and determining the overall optimal allocation solution comprises: The historical optimal allocation plan of all initial plans is counted, and the plan with the smallest evaluation value is selected as the overall optimal allocation plan.

5. The intelligent measurement method of single crystal silicon differential pressure transmitter according to claim 3, characterized in that: The step of adjusting each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan comprises: Calculate the adjustment step size based on the overall optimal allocation plan and the historical optimal allocation plan; Read the most recently adjusted plan of the initial plan and adjust it according to the adjustment step size; The calculation process of adjusting the step size is: ; The adjustment process is: ; Indicates The first The adjustment step size for the next adjustment is: Indicates The first The adjustment step size for the next adjustment is: is the preset inertia weight, and is the preset learning factor, and is a random number between [0,1]; For the The historical optimal allocation plan of the scheme, is the current overall optimal allocation plan; Indicates The scheme is in After the adjustment, Indicates The scheme is in The adjusted plan: The output conditions include: the average of the adjustment steps of all schemes is less than a preset threshold; and the data structure of the threshold is the same as the data structure of the adjustment step.

6. The intelligent measurement method of single crystal silicon differential pressure transmitter according to claim 1, characterized in that: The steps of allocating bandwidth to each transmitter according to the resource input ratio, acquiring measurement data, analyzing the measurement data, obtaining measurement results, and synchronously adjusting the resource input ratio include: Allocate bandwidth to each transmitter based on resource investment ratio; Acquire measurement data based on the allocated bandwidth, input the measurement data into a preset analysis model, and obtain the degree of abnormality; Generate warning information based on the degree of abnormality; Determine an additional ratio according to the abnormality degree, and adjust the resource input ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree; The process of determining the additional ratio is as follows: ; In the formula, is the additional ratio, Indicates abnormality, Indicates the total number of transmitters.

7. A single crystal silicon differential pressure transmitter intelligent measurement system, characterized in that: The system comprises: A data storage module, used to obtain and count measurement data based on transmitter tags, and to construct a data storage unit for each transmitter; the transmitter is a single crystal silicon differential pressure transmitter, and the measurement data also includes a time tag; The characteristic value calculation module is used to generate a measurement optimization instruction every preset time period, extract the measurement data from the data storage unit, identify the measurement data, and determine the characteristic value of each transmitter; The resource input adjustment module is used to randomly determine the resource input ratio of each transmitter, adjust the resource input ratio according to the characteristic value, and execute it cyclically. When the adjusted resource input ratio reaches the preset output condition, the resource input ratio of each transmitter is obtained; the sum of the resource input ratios of all transmitters is one; The measurement data application module is used to allocate bandwidth to each transmitter according to the resource input ratio, obtain measurement data, analyze the measurement data, obtain measurement results, and synchronously adjust the resource input ratio; the amplitude of adjusting the resource input ratio is less than a preset threshold.

8. The single crystal silicon differential pressure transmitter intelligent measurement system according to claim 7, characterized in that: The eigenvalue calculation module comprises: An instruction generating unit, used for generating a measurement optimization instruction once every preset time period; The function fitting unit is used to read the measurement data at each moment in the data storage unit of each transmitter, perform functional processing on the measurement data at each moment, and obtain a measurement function; the independent variable of the measurement function is time, and the dependent variable is the measurement value; A calculation execution unit, used for determining a characteristic value of the transmitter according to a derivative characteristic and an integral characteristic of the measurement function; Among them, the derivative feature includes the total length of the time interval of the function segment in the derivative function that is greater than the preset derivative threshold; the integral feature includes the integral value of the measurement function within the time length; the feature value is determined by the derivative feature and the integral value, and the weight of the derivative feature and the weight of the integral value are both preset values.

9. The single crystal silicon differential pressure transmitter intelligent measurement system according to claim 7, characterized in that: The resource input adjustment module includes: An initial scheme generating unit is used to randomly determine the resource input ratio of each transmitter, and execute the preset number of cycles to obtain the preset number of initial schemes; the sum of the resource input ratios of all transmitters is one; A demand calculation unit, used to calculate the demand input ratio according to the characteristic value of each transmitter; A historical optimal determination unit is used to compare the demand input ratio and resource input ratio of each transmitter for any initial plan to determine the historical optimal allocation plan; An overall optimal determination unit, used to count the historical optimal allocation plans of all initial plans and determine the overall optimal allocation plan; An adjustment execution unit, used for adjusting each initial plan according to the overall optimal allocation plan and the historical optimal allocation plan; The loop execution unit is used for loop execution. When the adjusted initial plans reach the preset output conditions, the final overall optimal allocation plan is read to obtain the resource investment ratio of each transmitter.

10. The single crystal silicon differential pressure transmitter intelligent measurement system according to claim 7, characterized in that: The measurement data application module comprises: an allocation execution unit for allocating bandwidth to each transmitter according to a resource input ratio; A data analysis unit, used to obtain measurement data based on the allocated bandwidth, input the measurement data into a preset analysis model, and obtain an abnormality degree; A warning information generating unit, used to generate warning information according to the abnormality degree; An additional adjustment unit, used to determine an additional ratio according to the abnormality degree, and adjust the resource input ratio according to the additional ratio; the additional ratio is proportional to the abnormality degree; The process of determining the additional ratio is as follows: ; In the formula, is the additional ratio, Indicates abnormality, Indicates the total number of transmitters.

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