Pipe network signal acquisition method for intelligent gas supervision and Internet of Things system

Abstract

The invention provides a pipe network signal acquisition method for intelligent gas supervision and an Internet of Things system, the method is executed by a gas company management platform of the pipe network signal acquisition Internet of Things system for intelligent gas supervision, and the method comprises the following steps: acquiring acquisition device information of a signal acquisition device in a gas pipe network; based on the signal acquisition demand, acquiring device information, and determining a to-be-activated device; generating an activation instruction based on the to-be-activated device; determining a signal acquisition parameter based on the signal acquisition demand; controlling the activation acquisition device and the operation acquisition device to perform signal acquisition according to the acquisition parameters to obtain gas pipe network signals; in response to activation failure of the to-be-activated device, determining an alternative acquisition device based on the acquisition device information; based on the alternative acquisition device, a backup device instruction is generated. According to the method, the signal acquisition device needing to be activated can be quickly and intelligently determined and the signal acquisition parameters can be adjusted according to the signal acquisition requirements.

Description

Technical Field

[0001] The present invention relates to the field of gas pipeline network monitoring, and particularly to a pipeline signal acquisition method and an Internet of Things system for intelligent gas supervision. Background Art

[0002] In order to achieve comprehensive and efficient monitoring of the gas pipeline network, signal acquisition devices need to be deployed at different positions of the pipeline network. Supervisors can judge the operating status of the gas pipeline network through the signals collected by the signal acquisition devices at different positions. Since the gas pipeline network is huge and complex, supervisors need to monitor different pipeline network areas separately. How to determine the signal acquisition devices that can accurately collect the required signals and how to adjust the signal acquisition parameters according to the requirements are the problems to be solved currently.

[0003] Therefore, it is desired to provide a pipeline signal acquisition method and an Internet of Things system for intelligent gas supervision, which can quickly and intelligently determine the signal acquisition devices to be activated and adjust the signal acquisition parameters according to the signal acquisition requirements. Summary of the Invention

[0004] The summary of the invention includes a pipeline signal acquisition method for intelligent gas supervision, and the method includes: obtaining the acquisition device information of the signal acquisition devices in the gas pipeline network, where the signal acquisition devices include dormant acquisition devices and operating acquisition devices; determining the devices to be activated based on the signal acquisition requirements and the acquisition device information; generating an activation instruction based on the devices to be activated to activate the devices to be activated, and obtaining activated acquisition devices; determining signal acquisition parameters based on the signal acquisition requirements; controlling the activated acquisition devices and the operating acquisition devices to perform signal acquisition according to the signal acquisition parameters to obtain gas pipeline network signals; in response to the failure of activating the devices to be activated, determining alternative acquisition devices based on the acquisition device information; and generating a standby device instruction based on the alternative acquisition devices to control the alternative acquisition devices to perform signal acquisition.

[0005] The invention content includes an Internet of Things system for collecting pipeline network signals for intelligent gas supervision. The system includes: a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, a gas company sensor network platform, and a device object platform. The government safety supervision object platform includes a gas company management platform; the gas company management platform is configured on the server of the gas company. The gas company sensor network platform is composed of multiple distributed communication devices. The device object platform is communicatively connected to a signal collection device. The government safety supervision sensor network platform and the government safety supervision management platform are configured on the server of the government supervision department; the gas company management platform is configured to: obtain the collection device information of the signal collection device in the gas pipeline network. The signal collection device includes a dormant collection device and an operating collection device; based on the signal collection requirements and the collection device information, determine the device to be activated; generate an activation instruction based on the device to be activated, and send the activation instruction to the device object platform through the gas company sensor network platform to activate the device to be activated and obtain an activated collection device; based on the signal collection requirements, determine signal collection parameters; send the signal collection parameters to the device object platform through the gas company sensor network platform to control the activated collection device and the operating collection device to collect signals according to the signal collection parameters and obtain gas pipeline network signals; in response to the failure of activating the device to be activated, based on the collection device information, determine an alternative collection device; and based on the alternative collection device, generate a standby device instruction, and send the standby device instruction to the device object platform through the gas company sensor network platform to control the alternative collection device to collect signals.

[0006] The beneficial effects of the present invention include but are not limited to: (1) Based on the Internet of Things system for collecting pipeline network signals for intelligent gas supervision, an information operation closed loop can be formed among each functional platform, and coordinated and regular operation can be achieved, realizing the informatization and intelligence of intelligent gas pipeline network signal collection. (2) By considering the similarity of different signal collection devices, a collection device group with higher collection efficiency can be determined, so that the signal collection devices in the same collection parameter group can cooperate to collect gas pipeline network signals. (3) By determining the signal collection parameters of different collection device groups through the collection priority, the signal collection efficiency can be improved, ensuring that the signal collection preferentially meets relatively important or urgent signal collection requirements. Brief Description of the Drawings

[0007] This specification will be further described in the form of exemplary embodiments, and these exemplary embodiments will be described in detail through the drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where: Figure 1It is a schematic diagram of the platform structure of the pipe network signal acquisition Internet of Things system for intelligent gas supervision shown in some embodiments of this specification; Figure 2 It is an exemplary flowchart of a pipe network signal acquisition method for intelligent gas supervision shown in some embodiments of this specification; Figure 3 It is an exemplary diagram of an acquisition model shown in some embodiments of this specification; Figure 4 It is an exemplary flowchart of updating signal acquisition parameters shown in some embodiments of this specification. Detailed implementation manners

[0008] To more clearly illustrate the technical solutions of the embodiments of this specification, the accompanying drawings required for the description of the embodiments will be briefly introduced below. The accompanying drawings do not represent all implementation manners.

[0009] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. If other words can achieve the same purpose, the said words can be replaced by other expressions.

[0010] In the embodiments of this specification, when the operations are described step by step, unless otherwise specified, the order of the steps can be adjusted, the steps can be omitted, and other steps can also be included during the operation process.

[0011] Figure 1 It is a schematic diagram of the platform structure of the pipe network signal acquisition Internet of Things system for intelligent gas supervision shown in some embodiments of this specification.

[0012] As Figure 1 shown, the pipe network signal acquisition Internet of Things system 100 for intelligent gas supervision may include a government safety supervision management platform 110, a government safety supervision sensor network platform 120, a government safety supervision object platform 130, a gas company sensor network platform 140, and an equipment object platform 150.

[0013] The government safety supervision management platform 110 refers to a comprehensive management platform for government management information. In some embodiments, the government safety supervision management platform is configured on the server of the government supervision department. The government safety supervision management platform is configured to process the gas pipeline network signals and generate feedback information.

[0014] The government safety supervision sensor network platform 120 refers to a platform for the government to comprehensively manage sensor information. In some embodiments, the government safety supervision sensor network platform is configured as distributed communication devices (such as communication networks, gateways, etc.).

[0015] The government safety supervision object platform 130 refers to the platform for generating government supervision information and executing control information. In some embodiments, the government safety supervision object platform 130 includes a gas company management platform 131. The gas company management platform 131 refers to the comprehensive management platform for gas company information. The gas company management platform is configured on the server of the gas company. The server of the gas company includes a processor, a memory, etc. The gas company management platform is configured to process and store data of the pipe network signal acquisition Internet of Things system 100 for intelligent gas supervision.

[0016] In some embodiments, the gas company management platform 131 is configured to obtain the acquisition device information of the signal acquisition devices in the gas pipeline network; determine the devices to be activated based on the signal acquisition requirements and the acquisition device information; generate activation instructions based on the devices to be activated; determine signal acquisition parameters based on the signal acquisition requirements; control the activation of the acquisition devices and the operation of the acquisition devices to perform signal acquisition according to the signal acquisition parameters to obtain gas pipeline network signals; in response to the failure of activating the devices to be activated, determine alternative acquisition devices based on the acquisition device information; and generate standby device instructions based on the alternative acquisition devices.

[0017] In some embodiments, the gas company management platform interacts with the government safety supervision sensing network platform and the gas company sensing network platform.

[0018] The gas company sensing network platform 140 refers to the platform for comprehensively managing the sensing information of the gas company. In some embodiments, the gas company sensing network platform is configured as multiple distributed communication devices (such as communication networks, gateways, etc.). In some embodiments, the gas company sensing network platform interacts with the device object platform.

[0019] The device object platform 150 refers to the functional platform for generating sensing information and executing control information. In some embodiments, the device object platform 150 includes signal acquisition devices.

[0020] The signal acquisition device refers to the device for acquiring gas pipeline network signals. In some embodiments, the signal acquisition device includes a pressure sensor, a flow meter, a flow velocity meter, a temperature sensor, and an ultrasonic detector, etc. The signal acquisition device is deployed inside or outside the gas pipeline.

[0021] The gas pipeline network signal refers to the data related to the operating state of the gas pipeline network, for example, gas pressure, gas flow rate, gas flow velocity, gas temperature, and the thickness of pipeline impurity deposition, etc. Among them, the thickness of pipeline impurity deposition is obtained by the ultrasonic detector. The gas pipeline network refers to the gas transmission network composed of multiple gas pipelines and gas transportation related equipment.

[0022] For the foregoing detailed description, reference can be made to Figures 2 to 4 the relevant description.

[0023] In some embodiments of the present specification, based on the Internet of Things system 100 for collecting pipeline network signals for intelligent gas supervision, an information operation closed-loop can be formed among various functional platforms, and coordinated and regular operation can be achieved to realize the informatization and intelligence of intelligent gas pipeline network signal collection.

[0024] Figure 2 FIG. 6 is an exemplary flowchart of a method for collecting pipeline network signals for intelligent gas supervision according to some embodiments of the present specification. In some embodiments, the process 200 of the method for collecting pipeline network signals for intelligent gas supervision is executed by the gas company management platform (hereinafter referred to as the company management platform) of the Internet of Things system for collecting pipeline network signals for intelligent gas supervision.

[0025] As Figure 2 shown, the process 200 of the method for collecting pipeline network signals for intelligent gas supervision includes the following steps: Step 210, obtaining the collection device information of the signal collection devices in the gas pipeline network.

[0026] In some embodiments, the signal collection devices are divided into dormant collection devices and running collection devices based on the running state. The running collection device refers to the signal collection device in the running state. The dormant collection device refers to the signal collection device that has not been activated for operation. The company management platform can regularly send feedback instructions to the signal collection devices and receive the feedback information fed back by the signal collection devices, determine the running state of the signal collection devices that send the feedback information as running, and determine the running state of the signal collection devices that do not send the feedback information as not activated for operation.

[0027] For the description of the signal collection devices, reference can be made to Figure 1 and its related descriptions.

[0028] The collection device information refers to the information related to the signal collection devices. For example, the number, location of the signal collection devices, and the type of the gas pipeline network signals collected, etc. Among them, the type of the gas pipeline network signals refers to what kind of gas pipeline network signals the signal collection devices are used to collect. For example, the type of the gas pipeline network signals collected by the pressure sensor is gas pressure.

[0029] In some embodiments, the company management platform can obtain the collection device information from the memory of the server of the gas company. After the installer installs the signal collection devices, the collection device information can be uploaded to the Internet of Things system 100 for collecting pipeline network signals for intelligent gas supervision through methods such as inputting, and stored in the memory of the server of the gas company.

[0030] Step 220, determining the devices to be activated based on the signal collection requirements and the collection device information.

[0031] The signal acquisition requirement refers to the requirement for acquiring gas pipeline network signals for carrying out work related to gas pipeline network monitoring. In some embodiments, the signal acquisition requirement includes at least one of pipeline inspection requirement, gas monitoring requirement, hidden danger investigation requirement, gas regulation requirement, pipeline cleaning requirement, pipeline renewal requirement, etc. The signal acquisition requirement also includes the regional location. The regional location refers to the area in the gas pipeline network where gas pipeline network signals need to be acquired.

[0032] In some embodiments, the signal acquisition requirement is regularly and automatically generated by the company management platform to meet the regular monitoring of the gas pipeline network. The company management platform can also obtain the signal acquisition requirement through the government safety supervision management platform via the government safety supervision sensing network platform. The supervisors of the government safety supervision management platform issue the signal acquisition requirement based on actual needs.

[0033] In some embodiments, the company management platform can generate the signal acquisition requirement based on the feedback information. For example, when the feedback information includes pipeline cleaning information, the company management platform can generate a pipeline cleaning requirement as the signal acquisition requirement based on the gas pipelines or areas that need to be cleaned in the pipeline renovation information. For the description of the feedback information, reference can be made to Figure 4 and its related descriptions.

[0034] The device to be activated refers to the dormant acquisition device that needs to be activated. It can be understood that when the running acquisition device cannot meet the signal acquisition requirement, it is necessary to activate the dormant acquisition device to acquire the gas pipeline network signals to meet the signal acquisition requirement.

[0035] In some embodiments, the company management platform queries the type of the gas pipeline network signal corresponding to the signal acquisition requirement in the acquisition requirement table based on the signal acquisition requirement, and determines the dormant acquisition device used to acquire the gas pipeline network signal of this type within the regional location as the device to be activated based on the regional location and the acquisition device information in the signal acquisition requirement. Exemplarily, if the signal acquisition requirement is a pipeline cleaning requirement, the type of the gas pipeline network signal corresponding to the pipeline cleaning requirement in the acquisition requirement table includes the thickness of pipeline impurity deposition.

[0036] For more descriptions of the acquisition requirement table, reference can be made to the relevant descriptions in subsequent step 240.

[0037] Step 230, generate an activation instruction based on the device to be activated, and send the activation instruction to the device object platform through the gas company sensing network platform to activate the device to be activated and obtain an activated acquisition device.

[0038] The activation instruction refers to the instruction used to activate the device to be activated. In some embodiments, the company management platform determines the number of the device to be activated based on the acquisition device information of the device to be activated, and generates an activation instruction based on the number.

[0039] The activated acquisition device refers to the device to be activated after activation.

[0040] In some embodiments, the company management platform can send an activation instruction to the device to be activated on the device object platform through the gas company sensing network platform to activate the device to be activated.

[0041] Step 240: Determine signal acquisition parameters based on the signal acquisition requirements.

[0042] The signal acquisition parameters refer to the parameters related to the operation of the signal acquisition device. In some embodiments, the signal acquisition parameters include signal type, acquisition time, acquisition period, and acquisition volume, etc. Among them, the signal type refers to the type of gas pipeline network signal that can be acquired. The acquisition volume refers to the data volume of the gas pipeline network signal that needs to be acquired. In some embodiments, the acquisition volume can be represented by the size of the space occupied by the acquired gas pipeline network signal in the memory.

[0043] In some embodiments, the company management platform determines signal acquisition parameters in various ways based on the signal acquisition requirements. For example, the acquisition requirements table also includes signal acquisition parameters corresponding to the signal acquisition requirements. The company management platform determines the obtained signal acquisition parameters as the current signal acquisition parameters by querying the signal acquisition parameters corresponding to the signal acquisition requirements in the acquisition requirements table based on the signal acquisition requirements.

[0044] In some embodiments, the acquisition requirements table is pre-set by technicians based on historical acquisition records. For example, for each signal acquisition requirement, technicians screen a large number of gas pipeline network signals collected in the historical acquisition records to obtain multiple gas pipeline network signals of the same type that can meet the signal acquisition requirements, calculate the average value of the signal acquisition parameters of the multiple gas pipeline network signals, and construct an acquisition requirements table based on the signal acquisition requirements, the type of gas pipeline network signals that can meet the signal acquisition requirements, and the average value of the signal acquisition parameters corresponding to the gas pipeline network signals. Among them, the historical acquisition record refers to the record of collecting gas pipeline network signals in the past. The company management platform can obtain the historical acquisition record through the memory.

[0045] Since there may be multiple types of gas pipeline network signals that can meet the signal acquisition requirements, each signal acquisition requirement in the acquisition requirements table may correspond to multiple types of gas pipeline network signals and the signal acquisition parameters corresponding to each type.

[0046] In some embodiments, the company management platform determines at least one acquisition device group based on the acquisition device information, signal acquisition requirements, activated acquisition device, and running acquisition device; and determines the signal acquisition parameters corresponding to at least one acquisition device group based on the signal acquisition requirements and acquisition device information.

[0047] A set of acquisition devices refers to a combination formed by multiple signal acquisition devices. In some embodiments, one set of acquisition devices corresponds to one signal acquisition requirement.

[0048] In some embodiments, the company management platform can determine the set of acquisition devices in various ways. For example, according to the signal acquisition requirements, the company management platform determines the signal acquisition parameters for activating the acquisition devices and the signal acquisition parameters for running the acquisition devices through an acquisition requirement table, and divides multiple signal acquisition devices according to the importance level, the location in the acquisition device information, and the signal type, acquisition time, acquisition period, and acquisition volume in the signal acquisition parameters, to obtain at least one set of acquisition devices.

[0049] In some embodiments, dividing multiple signal acquisition devices includes: determining target acquisition devices based on the original acquisition parameters and the current signal acquisition parameters, and performing clustering analysis based on the location, original acquisition parameters, and importance level of the target acquisition devices to obtain at least one set of acquisition devices. The importance level of the signal acquisition device can be preset by the staff of the gas company. Among them, the target acquisition device refers to a signal acquisition device whose original acquisition parameters are exactly the same as the current signal acquisition parameters. The original acquisition parameters refer to the signal acquisition parameters used by the signal acquisition device in the past. The current signal acquisition parameters refer to the signal acquisition parameters determined by the acquisition requirement table. The company management platform can obtain the original acquisition parameters through a memory.

[0050] In some embodiments, the importance level of the signal acquisition device can also be determined according to the level of the pipeline where the signal acquisition device is located (such as the main pipeline, first-level branch, second-level branch, etc.). The higher the pipeline level, the higher the importance level. The importance level can be represented by a value, etc., and the larger the value, the higher the importance level.

[0051] In some embodiments, the clustering analysis methods can include K-means clustering, hierarchical clustering, etc. Here, K-means clustering is taken as an example for introduction. Determining at least one set of acquisition devices through K-means clustering can include the following steps: S11. The number of signal acquisition parameters queried through the acquisition requirement table is the clustering number k; S12. Construct a parameter vector according to the location, original acquisition parameters, and importance level of each target acquisition device. Among them, the parameter vector is a feature vector constructed based on the location, original acquisition parameters, and importance level, and each target acquisition device corresponds to a parameter vector; S13. Arbitrarily select k target acquisition devices from multiple target acquisition devices as the initial clustering centers; S14. Calculate the vector distance between the parameter vector of each target acquisition device and the parameter vector of the initial clustering center, and assign the target acquisition device to the clustering cluster where the initial clustering center with the closest vector distance is located; S15. For each clustering cluster, calculate the mean of the feature vectors of multiple target acquisition devices therein as the new clustering center; S16. Repeat steps S14 - S15 until the clustering center no longer changes to obtain the final clustering clusters; S17. Take each final clustering cluster as a group of acquisition devices.

[0052] In some embodiments, the company management platform determines the similarity between signal acquisition devices based on the acquisition device information and historical feedback information; and determines at least one group of acquisition devices based on the similarity and signal acquisition requirements. The historical feedback information refers to the feedback information in historical data. The company management platform can obtain the historical feedback information through the memory. For the relevant description of the feedback information, see the relevant description below.

[0053] The similarity refers to the degree of similarity between signal acquisition devices. In some embodiments, the similarity includes the location similarity and environment similarity of signal acquisition devices, etc.

[0054] The location similarity refers to the similarity indicating that there are abnormal situations at the locations where the signal acquisition devices are located. The abnormal situations include failures or potential hazards, etc.

[0055] In some embodiments, the location similarity can be determined based on the historical feedback information in historical data. For example, the company management platform can obtain the number of times of abnormal situations at the locations where the signal acquisition devices are located from the historical feedback information. If the number of times of failures / potential hazards corresponding to any two signal acquisition devices exceeds the preset number threshold, the location similarity between these two signal acquisition devices is set to 1; if for any two signal acquisition devices, the number of times of failures / potential hazards corresponding to at least one signal acquisition device does not exceed the preset number threshold, the location similarity between the two is calculated through a preset similarity formula. Among them, the location of the signal acquisition device is determined based on the acquisition device information. Exemplarily, the preset similarity formula is as shown in formula (1): (1) Where, is the location similarity between two signal acquisition devices, is the number of times of abnormal situations at the location where one signal acquisition device is located, is the number of times an abnormal situation exists at the location of another signal acquisition device. In some embodiments, if any one of the two signal acquisition devices exceeds a preset number threshold, the preset number threshold is used as its value. The preset number threshold is set in advance based on historical experience.

[0056] The environmental similarity refers to the similarity of the environmental conditions at the location of the signal acquisition device. The environmental conditions include temperature, humidity, traffic flow, etc. Among them, the traffic flow can be obtained through a third-party platform or traffic monitoring, etc.

[0057] In some embodiments, the environmental similarity is calculated and determined based on the actual environmental conditions at the location of the signal acquisition device. For example, the company management platform calculates the temperature similarity, humidity similarity, and gas flow similarity for any two signal acquisition devices respectively, and takes the average of the temperature similarity, humidity similarity, and gas flow similarity as the environmental similarity. Among them, the calculation methods of the temperature similarity, humidity similarity, and gas flow similarity are similar to the calculation method of the location similarity.

[0058] In some embodiments, the company management platform can also determine the similarity between signal acquisition devices through a similarity model.

[0059] The similarity model refers to a model used to determine the similarity between signal acquisition devices. In some embodiments, the similarity model is a machine learning model, such as a recurrent neural network model (RNN, Recurrent Neural Network), etc.

[0060] In some embodiments, the input of the similarity model includes the acquisition device information, location similarity, environmental similarity, and second device group of two signal acquisition devices, and the output includes the similarity. The second device group includes a general device group and a special device group. For the description of the general device group and the special device group, see Figure 4 and its related descriptions.

[0061] In some embodiments, the similarity model can be trained through a similarity training set. The similarity training set includes a large number of similarity samples with similarity labels. The similarity samples can include the sample acquisition device information, sample location similarity, sample environmental similarity, and sample second device group of two sample signal acquisition devices. The similarity label includes the similarity calculated based on the similarity sample.

[0062] In some embodiments, the similarity samples can be obtained based on historical acquisition records. The similarity tags can be determined according to whether the historical gas pipeline network signals collected by the historical acquisition device group in the historical acquisition records can meet the historical signal acquisition requirements. For example, if the historical gas pipeline network signals can meet the historical signal acquisition requirements, the company management platform can set the similarity tag between any two historical signal acquisition devices in the corresponding historical acquisition device group to 1; if they cannot meet the historical signal acquisition requirements, the similarity tag is calculated according to a preset tag formula. Exemplarily, the preset tag formula is shown in formula (2): (2) where S is the similarity tag, n is the sum of the number of misjudgments of the historical feedback information and the number of adjustments of the signal acquisition parameters by the company management platform based on the historical feedback information after the historical gas pipeline network signals cannot meet the historical signal acquisition requirements, and N is the total number of historical acquisitions. The total number of historical acquisitions refers to the total number of historical gas pipeline network signals collected by the historical acquisition device group for the historical signal acquisition requirements. Whether the historical signal acquisition requirements can be met is manually marked by technicians according to the actual situation. For example, if the historical gas pipeline network signals collected by the historical acquisition device group cause misjudgments in the historical feedback information, etc., the historical signal acquisition requirements cannot be met.

[0063] Misjudgment means that the company management platform of the government safety supervision generates incorrect historical feedback information based on the historical gas pipeline network signals. Regarding the adjustment of the signal acquisition parameters by the company management platform based on the feedback information, reference can be made to Figure 4 and its related descriptions.

[0064] The similarity model can be trained in the following way: input the similarity training set into the initial similarity model, construct a loss function through the similarity tag and the output result of the initial similarity model, iteratively update the initial acquisition model based on the loss function, and when the loss function of the initial similarity model meets the preset iteration conditions, the similarity model training is completed. Among them, the preset iteration conditions can be that the loss function converges, the number of iterations reaches a set value, etc.

[0065] In some embodiments, the company management platform determines multiple preliminary groups based on the similarity between signal acquisition devices, and determines at least one acquisition device group based on the preliminary groups. A preliminary group refers to a set composed of multiple similar signal acquisition devices.

[0066] In some embodiments, the company management platform can determine multiple preliminary groups based on similarity through clustering, so that signal acquisition devices with higher similarity are divided into the same preliminary group. The clustering method is similar to the process described in steps S11 - S17, and only needs to change the calculation of vector distance to the calculation of similarity in step S14, and assign the signal acquisition device to the cluster where the cluster center with the highest similarity to it is located.

[0067] In some embodiments, the company management platform can select multiple preliminary groups within the regional location and corresponding to the type of the required gas pipeline network signal from the multiple preliminary groups, and select a preset number of signal acquisition devices to form an acquisition device group. The preset number can be set in advance based on historical experience. The type of the required gas pipeline network signal refers to the type of the gas pipeline network signal corresponding to the signal acquisition requirement.

[0068] In some embodiments of this specification, by considering the similarity of different signal acquisition devices, an acquisition device group with higher acquisition efficiency can be determined, so that the signal acquisition devices in the same acquisition parameter group can cooperate to acquire gas pipeline network signals.

[0069] In some embodiments, the company management platform sends signal acquisition instructions to the corresponding signal acquisition devices in sequence according to the group of the acquisition device group, based on the signal acquisition parameters of each signal acquisition device in each acquisition device group, through the gas company sensing network platform and the device object platform. The signal acquisition instructions include signal acquisition parameters.

[0070] It can be understood that dividing the acquisition device group and sending the signal acquisition parameters to the corresponding signal acquisition devices according to the group can, when subsequently updating the signal acquisition parameters of some signal acquisition devices, find the signal acquisition devices from the acquisition device group or update the signal acquisition parameters in units of the acquisition device group, improving the regulation efficiency of signal acquisition.

[0071] In some embodiments, the acquisition amounts of different signal acquisition devices in the same acquisition device group can be different. For the content on determining the acquisition amounts of different signal acquisition devices, see Figure 3 and its related descriptions.

[0072] In some embodiments of this specification, by dividing the signal acquisition devices into multiple acquisition device groups and sending the signal acquisition parameters according to the acquisition device groups, the regulation efficiency of the signal acquisition parameters can be improved, thereby improving the efficiency of gas pipeline network signal acquisition and avoiding repeated adjustment.

[0073] In some embodiments, the company management platform can determine the collection volume of at least one collection device within a group through a collection model; it can also determine the signal collection parameters corresponding to at least one collection device group based on the collection priority and collection device information. For details on this part, see Figure 3 and its related descriptions.

[0074] In some embodiments, the company management platform can determine the collection priority based on the signal collection requirements; and determine the signal collection parameters corresponding to at least one collection device group based on the collection priority and collection device information.

[0075] The collection priority is used to represent the priority degree of different signal collection requirements. In some embodiments, the collection priority can be represented by means of numerical values, etc. The larger the numerical value, the higher the collection priority.

[0076] In some embodiments, the company management platform may receive multiple signal collection requirements simultaneously. When multiple signal collection requirements are received, due to the limitation of the number of signal collection devices, it is impossible to perform signal collection for multiple signal collection requirements simultaneously. Then, the signal collection order among multiple signal collection requirements can be determined through the collection priority of the signal collection requirements. The company management platform tends to preferentially perform signal collection for the signal collection requirements with higher collection priorities.

[0077] In some embodiments, the company management platform can determine the collection priority in various ways. For example, the company management platform determines the collection priority corresponding to the signal collection requirements through a priority table based on the signal collection requirements.

[0078] The priority table can be pre-set by the technical personnel of the gas company based on historical experience, including various signal collection requirements and the collection priorities of each signal collection requirement. For example, the hidden danger investigation requirement needs to investigate the safety hidden dangers of the gas pipeline network through the gas pipeline network signal, and such requirements are relatively urgent and have a higher collection priority.

[0079] In some embodiments, the company management platform also determines the collection priority based on the signal collection requirements and feedback information.

[0080] In some embodiments, the company management platform can determine an adjustment coefficient based on the negative information in the feedback information corresponding to the signal collection requirements, and correct the collection priority determined through the priority table according to the adjustment coefficient to obtain a new collection priority.

[0081] Negative information refers to the information in the feedback information indicating that the gas pipeline network needs to be improved. For example, information indicating that the gas pipeline network needs to be cleaned, repaired, renovated, etc.

[0082] Feedback information refers to the information fed back by the government safety supervision management platform to the company management platform. For example, pipeline renovation information, pipeline cleaning information, gas shut-off information, etc. Among them, the pipeline renovation information includes the gas pipelines or areas that need to be renovated. The pipeline cleaning information includes the gas pipelines or areas that need to be cleaned. The gas shut-off information includes the areas where gas needs to be shut off.

[0083] In some embodiments, after the company management platform uploads the gas pipeline network signals to the government safety supervision management platform through the government safety supervision sensing network platform, the government safety supervision management platform can analyze the gas pipeline network signals to obtain at least one analysis result, and use the at least one analysis result as feedback information. For example, when the government safety supervision management platform analyzes the gas pipeline network signals and finds that the gas pipeline network is aging and needs to be renovated, it issues pipeline renovation information. It can be understood that the government safety supervision management platform receives a large number of gas pipeline network signals corresponding to various signal acquisition requirements, and can analyze and obtain multiple analysis results corresponding to each signal acquisition requirement. Furthermore, the feedback information includes multiple sets of data, and each set of data corresponds to one signal acquisition requirement.

[0084] For the description of how to obtain feedback information, please refer to Figure 4 and its related descriptions.

[0085] In some embodiments, for each signal acquisition requirement, the company management platform selects a set of feedback information corresponding to the signal acquisition requirement in the feedback information, and counts the number of feedback information including negative information in the set of feedback information. The company management platform can calculate the ratio of the aforementioned number to the total number of feedback information in the set of feedback information, and add 1 to the obtained ratio to obtain an adjustment coefficient.

[0086] In some embodiments, the company management platform takes the product of the acquisition priority determined by the priority table and the adjustment coefficient as the new acquisition priority.

[0087] In some embodiments, the company management platform preferentially determines the regional location corresponding to the signal acquisition requirement with a higher acquisition priority according to the acquisition priority and the acquisition device information. Based on multiple preliminary groups and the regional location, it determines the acquisition device group. The company management platform determines the signal acquisition parameters of the signal acquisition devices in the acquisition device group by querying the acquisition requirement table, and sends the signal acquisition parameters and the acquisition amount determined by the acquisition model to the corresponding signal acquisition devices by group through the gas company sensing network platform and the device object platform. For the description of the preliminary group, the acquisition requirement table, and how to determine the acquisition device, please refer to the relevant descriptions above. For the description of the acquisition model, please refer to Figure 3 and its related descriptions.

[0088] In some embodiments, the company management platform may determine signal acquisition parameters corresponding to at least one acquisition device group based on the acquisition priority and the second device group. The second device group includes a general device group and a special device group. For the descriptions of the general device group and the special device group, refer to Figure 4 and its related descriptions.

[0089] In some embodiments, the company management platform may preferentially use the signal acquisition devices with the second device group being the special device group as the signal acquisition devices corresponding to the signal acquisition requirements with higher acquisition priorities, and set signal acquisition parameters with different time sequences for the signal acquisition devices within the special device group according to the acquisition priority. Meanwhile, when multiple signal acquisition requirements are acquired through the signal acquisition devices of the special device group, the acquisition sequences of different signal acquisition requirements are determined according to the acquisition priority. For example, for multiple signal acquisition requirements with different acquisition priorities, the acquisition sequence of the signal acquisition requirement with a higher acquisition priority is earlier; for multiple signal acquisition requirements with the same acquisition priority, the acquisition sequence of the signal acquisition requirement with a shorter required acquisition time is earlier.

[0090] Exemplarily, there are two signal acquisition requirements with different acquisition priorities, and two sets of signal acquisition parameters with a time sequence are set for the signal acquisition devices within the special device group. The signal acquisition parameters with an earlier acquisition time correspond to the signal acquisition requirement with a higher acquisition priority.

[0091] In some embodiments of this specification, determining the acquisition priority through the feedback information can better conform to the actual acquisition sequence of signals in practical applications when selecting the acquisition device group, ensuring the signal acquisition effect; through the device general group and the device special group, the characteristics of different signal acquisition devices can be fully considered, and the signal acquisition parameters of the signal acquisition devices within the special device group are preferentially determined, avoiding affecting the normal operation of other signal acquisition devices when adjusting the signal acquisition parameters.

[0092] In some embodiments of this specification, determining the signal acquisition parameters of different acquisition device groups through the acquisition priority can improve the signal acquisition efficiency and ensure that the signal acquisition preferentially meets relatively important or urgent signal acquisition requirements.

[0093] Step 250: Send the signal acquisition parameters to the device object platform through the gas company sensing network platform to control the activation of the acquisition device and the operation of the acquisition device to perform signal acquisition according to the signal acquisition parameters, and obtain the gas pipeline network signals.

[0094] In some embodiments, the company management platform can send multiple signal acquisition parameters to the activation acquisition device and the operation acquisition device of the device object platform respectively through the gas company sensing network platform to control the activation acquisition device and the operation acquisition device to perform signal acquisition according to the signal acquisition parameters. Among them, the operation acquisition device overwrites the original acquisition parameters with the signal acquisition parameters and performs signal acquisition based on the signal acquisition parameters. The activation acquisition device directly performs signal acquisition based on the signal acquisition parameters.

[0095] Step 260, in response to the failure of the device to be activated, determine an alternative acquisition device based on the acquisition device information.

[0096] Activation failure means that the device to be activated is not successfully activated. When the device to be activated has insufficient power, communication function failure, signal acquisition device damage, etc., it may lead to activation failure.

[0097] In some embodiments, the company management platform can determine whether the device to be activated fails to be activated in various ways. For example, when the company management platform sends an activation instruction to the device to be activated, it attaches a feedback instruction; if the device to be activated is successfully activated, it can send a successful activation message to the company management platform based on the feedback instruction. For another example, the company management platform determines whether the device to be activated fails to be activated by whether it receives the gas pipeline network signal uploaded by the device to be activated. If it does not receive the gas pipeline network signal uploaded by the device to be activated, it means that the device to be activated is not successfully activated.

[0098] In some embodiments, the company management platform can obtain the signal acquisition requirements corresponding to the acquisition device group where the device to be activated that fails to be activated is located. In response to the acquisition priority of the signal acquisition requirements exceeding the priority threshold, generate an update instruction and send it to the device maintenance personnel to update or maintain the device to be activated that fails to be activated, so as to avoid being unable to meet the subsequent signal acquisition requirements with higher acquisition priorities. Among them, the priority threshold can be set in advance by the gas company staff. For the description of the acquisition priority, see Figure 3 and its related descriptions.

[0099] The alternative acquisition device refers to a signal acquisition device that replaces the device to be activated that fails to be activated to perform signal acquisition.

[0100] In some embodiments, the company management platform can determine the alternative acquisition device in various ways. For example, the company management platform can use the idle acquisition device that is the closest to the device to be activated that fails to be activated and has the same model as the alternative acquisition device. For another example, the company management platform can also use the idle acquisition device that is on the same gas pipeline as the device to be activated that fails to be activated and has the same model as the alternative acquisition device. Among them, the idle acquisition device refers to a dormant acquisition device that has not been activated.

[0101] Step 270: Based on the alternative acquisition device, generate a standby device instruction, and send the standby device instruction to the device object platform through the gas company sensing network platform to control the alternative acquisition device to perform signal acquisition.

[0102] The standby device instruction refers to an instruction used to control the alternative acquisition device to perform signal acquisition. In some embodiments, the standby device instruction includes the number of the alternative acquisition device and signal acquisition parameters.

[0103] In some embodiments, the company management platform can send the standby device instruction to the alternative acquisition device of the device object platform through the gas company sensing network platform to control the alternative acquisition device to perform signal acquisition.

[0104] In some embodiments of this specification, by determining the acquisition device to be activated and acquisition parameters according to signal acquisition requirements, the same set of signal acquisition devices can meet different signal acquisition requirements, improving the signal acquisition efficiency and the utilization rate of signal acquisition resources.

[0105] It should be noted that the description of the process 200 of the pipeline network signal acquisition method for intelligent gas supervision above is only for illustration and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 200 of the pipeline network signal acquisition method for intelligent gas supervision under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0106] Figure 3 It is an exemplary schematic diagram of the acquisition model shown in some embodiments of this specification.

[0107] In some embodiments, for at least one in-group acquisition device in at least one acquisition device group, the company management platform determines the acquisition volume of at least one in-group acquisition device through the acquisition model based on the signal acquisition requirements, acquisition device information, and the first device group. The in-group acquisition device refers to the signal acquisition device in the acquisition device group. The training process of the acquisition model includes: determining a plurality of training data sets based on the first device group; and alternately training the initial acquisition model through the plurality of training data sets, where the learning rate during the alternate training process is determined based on the change rate of the difference between the output of the initial acquisition model and the label. For the relevant descriptions of signal acquisition requirements, acquisition device information, and acquisition volume, see Figure 2 and its related descriptions.

[0108] The acquisition model is a model used to determine the acquisition volume. In some embodiments, the acquisition model is a machine learning model. For example, the acquisition model includes any one or a combination of a Recurrent Neural Network (RNN) model or other custom model structures, etc.

[0109] In some embodiments, as Figure 3 shown, the input of the acquisition model 340 may include the signal acquisition requirement 310, the acquisition device information 320, and the first device group 330; the output may include the acquisition volume of the acquisition devices within the group 350.

[0110] The first device group refers to the preliminary group to which the acquisition devices within the group belong. For the description of the preliminary group, refer to step 240 and its related descriptions.

[0111] The training dataset refers to the dataset used to train the acquisition model. In some embodiments, the training dataset may include a large number of labeled training samples. The training samples may include the sample acquisition device information, the sample signal acquisition requirement, and the sample first device group of the acquisition devices within different sample groups. The label may be the actual acquisition volume corresponding to the acquisition devices within the sample group. In some embodiments, the company management platform statistically calculates multiple historical acquisition volumes of the acquisition devices within the sample group in the historical acquisition records that can meet the sample signal acquisition requirement, and takes the minimum value or the average value of the multiple historical acquisition volumes as the label.

[0112] In some embodiments, the company management platform may classify a large number of training samples in the historical acquisition records based on the first device group of the acquisition devices within the sample group to obtain multiple training datasets, where each training dataset corresponds to a first device group.

[0113] Alternating training refers to training the initial acquisition model by alternately using different training datasets. For example, the company management platform randomly selects two training datasets from multiple training datasets as a group of training datasets, and alternately inputs the two training datasets in the group into the initial acquisition model to train the initial acquisition model. Among them, the company management platform can generate multiple groups of training datasets to train the initial acquisition model.

[0114] In some embodiments, the acquisition model can be trained as follows: alternately input two training data sets into the initial acquisition model, construct a loss function based on the labels and the output results of the initial acquisition model, iteratively update the initial acquisition model based on the loss function. When the loss function of the initial acquisition model meets the preset iteration condition, replace it with the next set of training data sets for training and iteratively update the initial acquisition model until the loss functions corresponding to all training data sets meet the preset iteration condition, and then the acquisition model is trained. Among them, the preset iteration condition can be that the loss function converges, the number of iterations reaches a set value, etc.

[0115] In some embodiments, the company management platform can adjust the learning rate for training the acquisition model based on the output change rate.

[0116] The output change rate is used to characterize the change situation of the difference between the output of the initial acquisition model and the label. In some embodiments, the company management platform statistically calculates the difference between the output result of the initial acquisition model and the label each time, obtains multiple differences, and determines multiple output change rates by comparing the magnitudes of the multiple differences. For example, the company management platform calculates the ratio of the currently compared difference to the previous difference, and determines the obtained ratio as the output change rate corresponding to the currently compared difference.

[0117] Exemplarily, if the change amplitude of the output change rate increases within a continuous preset number of change times, the learning rate is decreased; if the change amplitude of the output change rate decreases within a continuous preset number of change times, the learning rate is increased. Among them, the preset number of change times can be preset based on historical experience. The magnitude of the decrease or increase in the learning rate is positively correlated with the change amplitude of the output change rate. Only as an example, the company management platform calculates the average value of the change amplitude of the output change rate within a continuous preset number of change times, and uses the obtained average value as the magnitude of the decrease or increase in the learning rate.

[0118] In some embodiments, the company management platform can also use the acquisition priority of the signal acquisition requirement as the input of the acquisition model to obtain the corresponding acquisition amount of each signal acquisition device in the acquisition device group. When the input of the acquisition model includes the acquisition priority, the training sample also includes the sample acquisition priority, and the sample acquisition priority corresponds to the sample signal acquisition requirement.

[0119] In some embodiments of this specification, the acquisition amounts of different signal acquisition devices can be quickly determined or regulated through the acquisition model, avoiding the problem of poor applicability of the preset acquisition amount; the acquisition model can be obtained by alternately training the initial acquisition model with multiple training data sets, which can improve the applicability of the model to different signal acquisition devices; by adjusting the learning rate according to the change rate of the difference between the model output and the sampling label during the training process, the training efficiency of the model can be improved.

[0120] Figure 4 FIG. 400 is an exemplary flowchart for determining signal acquisition parameters shown in some embodiments of this specification. In some embodiments, the process 400 for determining signal acquisition parameters is executed by the gas company management platform (hereinafter referred to as the company management platform) of the pipe network signal acquisition Internet of Things system for intelligent gas supervision.

[0121] As Figure 4 shown, the process 400 for determining signal acquisition parameters includes the following steps: Step 410, obtain feedback information from the government safety supervision management platform through the government safety supervision sensing network platform.

[0122] For the description of the feedback information, refer to step 240 and its related descriptions.

[0123] In some embodiments, the government safety supervision management platform can actively send the feedback information to the company management platform. The company management platform can also send a request for obtaining to the government safety supervision management platform through the government safety supervision sensing network platform to obtain the feedback information determined by the government safety supervision management platform.

[0124] Step 420, based on the feedback information, determine the signal coverage area of the feedback information.

[0125] The signal coverage area refers to the area where subsequent work needs to be carried out corresponding to the feedback information. The subsequent work may include monitoring gas pipelines, pipeline renovation, pipeline cleaning, hidden danger investigation, and gas shutdown, etc.

[0126] In some embodiments, the company management platform can determine the area where subsequent work needs to be carried out according to the feedback information. For example, the company management platform can take the area enclosed by multiple signal acquisition devices in the area where subsequent work needs to be carried out as the signal coverage area.

[0127] In some embodiments, the government safety supervision management platform can send multiple feedback information, and each feedback information corresponds to a signal coverage area.

[0128] Step 430, based on the signal coverage area, determine the general device group and the special device group.

[0129] The general device group refers to a set composed of signal acquisition devices that can meet most signal acquisition requirements. For example, a set composed of signal acquisition devices that can meet more than 75% of the signal acquisition requirements.

[0130] The special device group refers to a set composed of signal acquisition devices that can meet few signal acquisition requirements. For example, a set composed of signal acquisition devices that can meet less than 20% of the signal acquisition requirements.

[0131] In some embodiments, the company management platform may count the proportion of the number of times a signal acquisition device appears in multiple historical signal coverage areas in historical data, classify the signal acquisition devices with a proportion exceeding the proportion threshold into the general device group, and classify the signal acquisition devices with a proportion not exceeding the proportion threshold into the special device group. Among them, the proportion threshold can be preset by the staff of the gas company based on historical experience.

[0132] In some embodiments, the company management platform determines the overlap degree of signal acquisition devices based on the signal coverage area; and determines the general device group and the special device group based on the overlap degree.

[0133] The overlap degree is used to characterize the general use degree of the signal acquisition device. In some embodiments, the overlap degree is represented by a numerical value or the like, and the larger the numerical value, the higher the overlap degree.

[0134] In some embodiments, the company management platform may use the number of times a signal acquisition device appears in multiple signal coverage areas as the overlap degree of the signal acquisition device. For example, there are 10 signal coverage areas, and the signal acquisition device exists in 6 of them, then the overlap degree of the signal acquisition device is 6.

[0135] In some embodiments, the company management platform may classify the signal acquisition devices with an overlap degree greater than the overlap threshold in the pipeline area into the general device group, and classify the signal acquisition devices with an overlap degree not greater than the overlap threshold into the special device group. The pipeline area refers to the area divided according to the type of gas pipeline, for example, the area where the main pipeline is located, etc. The type of gas pipeline can be preset, for example, the type of gas pipeline includes the main pipeline, the first-level branch pipeline, the second-level branch pipeline, etc.

[0136] In some embodiments, one pipeline area corresponds to one overlap threshold. The company management platform may determine the overlap thresholds of different pipeline areas based on the pipeline area, the type of historical feedback information corresponding to the pipeline area, and the number of times the historical feedback information appears, through the overlap threshold formula. Exemplarily, the overlap threshold formula is shown as the following formula (3): (3) Among them, Y is the overlap threshold, Y0 is the initial overlap threshold; x is the number of types of historical feedback information; f is the number of times the historical feedback information appears. It can be understood that the more types of historical feedback information and the more times the historical feedback information appears, the smaller the overlap threshold, and the more inclined the signal acquisition device is to be assigned to the general device group. The initial overlap threshold of the pipeline area is preset by the staff of the gas company based on historical experience.

[0137] In some embodiments, the company management platform can also determine a general device group and a special device group based on historical collection records through a preset algorithm, and dynamically adjust the general device group and the special device group through the preset algorithm as the historical collection records increase. Among them, the preset algorithm can be pre-set by technicians based on historical experience.

[0138] The preset algorithm includes the following steps: S41. According to the historical collection records, determine the historical signal coverage area corresponding to each historical collection record, and take the signal acquisition devices in each historical signal coverage area as a device set; for example, if the signal coverage area includes signal acquisition device 1, signal acquisition device 2, and signal acquisition device 3, then these 3 signal acquisition devices are taken as a device set.

[0139] S42. For each device set among multiple device sets, obtain multiple subsets of the device set based on the device set, and take the ratio of the occurrence times of the subset to the total number of device sets as the occurrence rate of the subset.

[0140] The subset is a set obtained by any combination of the signal acquisition devices in the device set. For example, if the device set is {signal acquisition device 1, signal acquisition device 2, signal acquisition device 3}, then the subsets include the sets {signal acquisition device 1}, {signal acquisition device 2}, {signal acquisition device 3} that contain any one element in the device set, and also include the sets composed of any two elements and three elements in the device set.

[0141] The occurrence times of the subset refer to the number of times the subset appears in the multiple subsets generated by different device sets. For example, if device set H can obtain subset h and device set I can also obtain subset h, then the occurrence times of subset h is 2.

[0142] S43. Take the subsets with an occurrence rate greater than the preset occurrence threshold as frequent subsets.

[0143] In some embodiments, the company management platform determines the preset occurrence threshold based on the number of signal acquisition devices with less usage in the historical general device group and the total number of signal acquisition devices. Only as an example, the preset occurrence threshold can be calculated by formula (4): (4) Among them, P0 is the initial value of the preset occurrence threshold, r is the number of signal acquisition devices with less usage, and s is the total number of signal acquisition devices. Among them, the signal acquisition devices with less usage refer to the signal acquisition devices with the usage times less than the preset times threshold (such as 3 times, etc.) in the historical general device group. The preset times threshold and the initial value of the preset occurrence threshold are pre-set by the staff based on historical experience.

[0144] S44. Use the frequent subset with the largest number of signal acquisition devices as the general group of acquisition devices; use the subsets with the number of occurrences less than or equal to the preset number threshold as the special group of acquisition devices, and the remaining subsets as independent signal acquisition devices.

[0145] Step 440. Determine the devices to be activated based on the signal acquisition requirements, acquisition device information, general device group, and special device group.

[0146] In some embodiments, when determining the devices to be activated, the company management platform may preferentially select the dormant acquisition devices in the general device group as the devices to be activated.

[0147] In some embodiments, for the description of determining the devices to be activated based on the signal acquisition requirements and acquisition device information, refer to Figure 2 and its related descriptions.

[0148] In some embodiments, the company management platform may determine at least one classification group based on the acquisition device information; divide the devices to be activated that have failed activation into at least one group of devices to be processed based on the classification group to which the devices to be activated that have failed activation belong; and generate an update instruction based on the at least one group of devices to be processed to update or maintain the devices to be activated that have failed activation.

[0149] The classification group refers to the group after classifying the signal acquisition devices. The models, locations, and importance levels of the signal acquisition devices in each classification group are the same or similar. For the related description of the importance level, refer to Step 240 and its related descriptions.

[0150] In some embodiments, the company management platform may use the signal acquisition devices with the same pipeline area location, similar importance levels, and the same or similar models as a classification group, where the signal acquisition devices with the same or similar models refer to the signal acquisition devices that collect the same kind of gas pipeline signals.

[0151] The group of devices to be processed refers to the combination composed of the signal acquisition devices that need to be updated or repaired, etc.

[0152] In some embodiments, the company management platform may divide the devices to be activated that have failed activation in the same classification group into a group of devices to be processed. One classification group corresponds to one group of devices to be processed.

[0153] The update instruction refers to the instruction indicating to update or maintain the signal acquisition devices in the group of devices to be processed. In some embodiments, the update instruction includes the update and maintenance time of the group of devices to be processed, etc.

[0154] In some embodiments, the company management platform generates an update instruction based on the importance value of the device group to be processed. For example, the company management platform can set the update maintenance time of the device group to be processed with a higher importance value earlier.

[0155] In some embodiments, the company management platform determines the importance value of the device group to be processed based on the coincidence degree and acquisition priority of the signal acquisition devices within the device group to be processed. The higher the coincidence degree and the higher the acquisition priority, the higher the importance value. By way of example only, the importance value of the device group to be processed can be the sum value of the average coincidence degree and the average acquisition priority of the multiple signal acquisition devices within the device group to be processed. For more descriptions about the acquisition priority, see Figure 2 and its related descriptions.

[0156] In some embodiments, the company management platform can send the update instruction to the maintenance personnel to update or maintain the signal acquisition devices within the device group to be processed.

[0157] In some embodiments of this specification, different device groups to be processed are divided according to the characteristics of the signal acquisition devices, and the processing order is determined by the importance value of the device groups to be processed, so that the device groups to be processed that are more important or more urgent can be preferentially updated or maintained.

[0158] Step 450, update the signal acquisition parameters corresponding to the general device group.

[0159] In some embodiments, the company management platform determines multiple signal acquisition requirements corresponding to the general device group through the acquisition requirement table based on the signal acquisition requirements, and updates the signal acquisition parameters corresponding to the general device group based on the multiple signal acquisition requirements. For example, the company management platform determines multiple acquisition amounts through the acquisition model based on the multiple signal acquisition requirements, and takes the maximum value of the acquisition amounts as the acquisition amount of the signal acquisition devices within the general device group.

[0160] Again, for example, the company management platform determines multiple signal acquisition parameters corresponding to the multiple signal acquisition requirements through the acquisition requirement table, selects the acquisition time with the longest duration among the multiple signal acquisition parameters, and selects the acquisition cycle with the shortest period among the multiple signal acquisition parameters as the acquisition time and acquisition cycle of the signal acquisition devices within the general device group. For the relevant descriptions about the acquisition model, see Figure 3 and its related descriptions. For the relevant descriptions about the acquisition requirement table, see Figure 2 and its related descriptions.

[0161] In some embodiments of this specification, by determining the general device group and the special device group, the roles played by different signal acquisition devices during signal acquisition can be effectively distinguished. By separately regulating the signal acquisition parameters of the general device group and the special device group, reasonable hardware guarantee can be provided to fully meet different signal acquisition requirements. At the same time, by setting only one set of signal acquisition parameters for the general device group, multiple signal acquisition requirements can be met, further improving the regulation efficiency of signal acquisition.

[0162] Some embodiments of this specification also provide a computer-readable storage medium. The storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method described in any one of the above embodiments.

[0163] In addition, certain features, structures, or characteristics in one or more embodiments of this specification may be appropriately combined.

[0164] In some embodiments, the numerical parameters used in the specification and claims are all approximate values, and these approximate values may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining general digits. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of their scope are approximate values, in specific embodiments, such numerical settings are made as precisely as possible within the feasible range.

[0165] If there are inconsistencies or conflicts between the descriptions, definitions, and / or uses of terms in the materials cited in this specification and the content described in this specification, the descriptions, definitions, and / or uses of terms in this specification shall prevail.

Claims

1. A pipeline network signal acquisition method for intelligent gas supervision, characterized in that The method is executed by a gas company management platform of an Internet of Things system for collecting pipeline network signals for intelligent gas supervision. The method includes: Obtaining the information of the signal collection devices in the gas pipeline network, where the signal collection devices include dormant collection devices and operating collection devices; Determining the devices to be activated based on the signal collection requirements and the information of the collection devices; Generating an activation instruction based on the devices to be activated to activate the devices to be activated, so as to obtain activated collection devices; Determining signal collection parameters based on the signal collection requirements; Controlling the activated collection devices and the operating collection devices to collect signals according to the signal collection parameters to obtain gas pipeline network signals; In response to the failure of activating the devices to be activated, determining alternative collection devices based on the information of the collection devices; and Generating a standby device instruction based on the alternative collection devices to control the alternative collection devices to collect signals.

2. The method according to claim 1, wherein The determining the signal collection parameters based on the signal collection requirements includes: Determining at least one collection device group based on the information of the collection devices, the signal collection requirements, the activated collection devices and the operating collection devices; and Determining the signal collection parameters corresponding to the at least one collection device group based on the signal collection requirements and the information of the collection devices.

3. The method according to claim 2, characterized in that, The determining the signal collection parameters corresponding to the at least one collection device group based on the signal collection requirements and the information of the collection devices includes: Determining the collection priority based on the signal collection requirements; and Determining the signal collection parameters corresponding to the at least one collection device group based on the collection priority and the information of the collection devices.

4. The method according to claim 3, wherein The method further includes: Determining the collection priority based on the signal collection requirements and feedback information; and Determining the signal collection parameters corresponding to the at least one collection device group based on the collection priority and the second device group.

5. The method according to claim 1, characterized in that The method further includes: Obtaining feedback information; Determining the signal coverage area of the feedback information based on the feedback information; Determining a general device group and a special device group based on the signal coverage area; Determining the devices to be activated based on the signal collection requirements, the information of the collection devices, the general device group and the special device group; and Updating the signal collection parameters corresponding to the general device group.

6. An Internet of Things system for collecting pipeline network signals for intelligent gas supervision, characterized in that, The Internet of Things system includes a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, a gas company sensor network platform and an equipment object platform, and the government safety supervision object platform includes a gas company management platform; The gas company management platform is configured on the server of the gas company. The gas company sensor network platform is composed of multiple distributed communication devices. The equipment object platform is communicatively connected to multiple signal collection devices. The government safety supervision sensor network platform and the government safety supervision management platform are configured on the servers of the government supervision department; The gas company management platform is configured to: Obtain the information of the signal acquisition devices in the gas pipeline network, where the signal acquisition devices include dormant acquisition devices and operating acquisition devices; Based on the signal acquisition requirements and the information of the acquisition devices, determine the devices to be activated; Generate an activation instruction based on the devices to be activated, and send the activation instruction to the device object platform through the gas company sensing network platform to activate the devices to be activated, so as to obtain activated acquisition devices; Based on the signal acquisition requirements, determine the signal acquisition parameters; Send the signal acquisition parameters to the device object platform through the gas company sensing network platform to control the activated acquisition devices and the operating acquisition devices to perform signal acquisition according to the signal acquisition parameters, so as to obtain the gas pipeline network signals; In response to the failure of activating the devices to be activated, based on the information of the acquisition devices, determine alternative acquisition devices; And, Generate a standby device instruction based on the alternative acquisition devices, and send the standby device instruction to the device object platform through the gas company sensing network platform to control the alternative acquisition devices to perform signal acquisition.

7. The Internet of Things system according to claim 6, wherein, The gas company management platform is further configured to: Based on the information of the acquisition devices, the signal acquisition requirements, the activated acquisition devices and the operating acquisition devices, determine at least one acquisition device group; And, Based on the signal acquisition requirements and the information of the acquisition devices, determine the signal acquisition parameters corresponding to the at least one acquisition device group.

8. The Internet of Things system according to claim 7, wherein The gas company management platform is further configured to: Based on the signal acquisition requirements, determine the acquisition priority; and, Based on the acquisition priority and the information of the acquisition devices, determine the signal acquisition parameters corresponding to the at least one acquisition device group.

9. The Internet of Things system according to claim 8, wherein, The gas company management platform is further configured to: Based on the signal acquisition requirements and the feedback information, determine the acquisition priority; and, Based on the acquisition priority and the second device group, determine the signal acquisition parameters corresponding to the at least one acquisition device group.

10. The Internet of Things system according to claim 6, wherein The gas company management platform is further configured to: Obtain feedback information from the government safety supervision management platform through the government safety supervision sensing network platform; Based on the feedback information, determine the signal coverage area of the feedback information; Based on the signal coverage area, determine a general device group and a special device group; Based on the signal acquisition requirements, the information of the acquisition devices, the general device group and the special device group, determine the devices to be activated; And, Update the signal acquisition parameters corresponding to the general device group.

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