Pipeline network signal acquisition method and Internet of Things system for smart gas monitoring

Abstract

The present invention provides a pipeline signal collection method and Internet of Things system for smart gas monitoring. The method is executed by a gas company management platform of the pipeline signal collection Internet of Things system for smart gas monitoring. The method includes: obtaining collection device information of signal collection devices in the gas pipeline network; determining the device to be activated based on signal collection requirements and collection device information; generating an activation instruction based on the device to be activated; determining signal collection parameters based on the signal collection requirements; controlling the activation collection device and the operation collection device to perform signal collection according to the collection parameters to obtain a gas pipeline signal; in response to the failure of activation of the device to be activated, determining an alternative collection device based on the collection device information; and generating a backup device instruction based on the alternative collection device. This method can quickly and intelligently determine the signal collection device to be activated and adjust the signal collection parameters based on the signal collection requirements.

Description

Technical Field

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

[0002] To achieve comprehensive and efficient monitoring of the gas pipeline network, signal acquisition devices must be deployed at various locations within the network. Supervisors can use the signals collected by these devices to determine the network's operational status. Due to the network's vastness and complexity, supervisors must monitor different areas of the network separately. However, identifying the signal acquisition devices that can accurately capture the required signals and adjusting the signal acquisition parameters accordingly remain key challenges.

[0003] Therefore, it is hoped to provide a pipeline signal acquisition method and an Internet of Things system for smart gas monitoring, which can quickly and intelligently determine the signal acquisition devices that need to be activated and adjust the signal acquisition parameters according to the needs of signal acquisition. Summary of the Invention

[0004] The invention content includes a pipeline signal collection method for smart gas supervision, which includes: obtaining collection device information of a signal collection device in a gas pipeline network, the signal collection device including a dormant collection device and a running collection device; determining a device to be activated based on signal collection requirements and the collection device information; generating an activation instruction based on the device to be activated to activate the device to be activated and obtain an activated collection device; determining signal collection parameters based on the signal collection requirements; controlling the activated collection device and the running collection device to perform signal collection according to the signal collection parameters to obtain a gas pipeline signal; in response to failure to activate the device to be activated, determining an alternative collection device based on the collection device information; and generating a backup device instruction based on the alternative collection device to control the alternative collection device to perform signal collection.

[0005] The invention content includes a pipe network signal acquisition Internet of Things system for smart gas supervision, the system including: 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, the government safety supervision object platform includes a gas company management platform; the gas company management platform is configured on the gas company's server, the gas company sensor network platform is composed of a plurality of distributed communication devices, the equipment object platform is communicatively connected with the signal acquisition device, the government safety supervision sensor network platform and the government safety supervision management platform are configured on the server of the government regulatory department; the gas company management platform is configured to: obtain the acquisition device information of the signal acquisition device in the gas pipe network, the signal acquisition device includes a dormant acquisition device and a running acquisition device; based on the signal acquisition requirements, the Collect device information to 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 activation collection device; determine signal collection parameters based on the signal collection requirements; send the signal collection parameters to the device object platform through the gas company sensor network platform to control the activation collection device and the operation collection device to collect signals according to the signal collection parameters to obtain a gas network signal; in response to activation failure of the device to be activated, determine an alternative collection device based on the collection device information; and generate a backup device instruction based on the alternative collection device, and send the backup 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 pipe network signal acquisition for smart gas supervision, an information operation closed loop can be formed between various functional platforms, coordinated and regular operation can be carried out, and the informationization and intelligence of smart gas pipe network signal acquisition can be realized. (2) By considering the similarity of different signal acquisition devices, a collection device group with higher acquisition efficiency can be determined, so that signal acquisition devices in the same acquisition parameter group can collaboratively collect gas pipe network signals. (3) By determining the signal acquisition parameters of different collection device groups through acquisition priority, the signal acquisition efficiency can be improved, ensuring that signal acquisition prioritizes more important or urgent signal acquisition needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] This specification will be further described in the form of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting, and in these embodiments, like numbers represent like structures, wherein:

[0008] Figure 1This is a schematic diagram of the platform structure of a pipe network signal collection Internet of Things system for smart gas monitoring according to some embodiments of this specification;

[0009] Figure 2 is an exemplary flow chart of a pipeline network signal acquisition method for smart gas monitoring according to some embodiments of this specification;

[0010] Figure 3 is an exemplary schematic diagram of an acquisition model according to some embodiments of this specification;

[0011] Figure 4 is an exemplary flow chart of updating signal acquisition parameters according to some embodiments of this specification. DETAILED DESCRIPTION

[0012] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following briefly introduces the drawings required for describing the embodiments. The drawings do not represent all implementation methods.

[0013] It should be understood that the terms "system," "device," "unit," and / or "module" used herein are a method for distinguishing different components, elements, parts, portions, or assemblies at different levels. If other terms can achieve the same purpose, the terms may be replaced by other expressions.

[0014] When operations are performed according to the step descriptions in the embodiments of this specification, unless otherwise specified, the order of the steps is interchangeable, steps can be omitted, and other steps can be included in the operation process.

[0015] Figure 1 This is a schematic diagram of the platform structure of the pipe network signal acquisition Internet of Things system for smart gas supervision shown in some embodiments of this specification.

[0016] like Figure 1 As shown, the pipeline signal collection Internet of Things system 100 for smart gas supervision can 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.

[0017] The government safety supervision and management platform 110 is a comprehensive management platform for government management information. In some embodiments, the government safety supervision and management platform is configured on a server of a government regulatory department. The government safety supervision and management platform is configured to process gas pipeline network signals and generate feedback information.

[0018] The government security supervision sensor network platform 120 is a platform for the government to comprehensively manage sensor information. In some embodiments, the government security supervision sensor network platform is configured as a distributed communication device (such as a communication network, a gateway, etc.).

[0019] The government safety and regulatory platform 130 is a platform for generating government regulatory information and controlling its execution. In some embodiments, the government safety and regulatory platform 130 includes a gas company management platform 131. This is a comprehensive management platform for gas company information. The gas company management platform is deployed on the gas company's server, which includes a processor, memory, and other components. The gas company management platform is configured to process and store data from the pipeline signal collection IoT system 100 for smart gas monitoring.

[0020] In some embodiments, the gas company management platform 131 is configured to obtain the collection device information of the signal collection device in the gas pipeline network; determine the device to be activated based on the signal collection requirements and the collection device information; generate an activation instruction based on the device to be activated; determine the signal collection parameters based on the signal collection requirements; control the activation collection device and the operation collection device to perform signal collection according to the signal collection parameters to obtain the gas pipeline network signal; in response to the failure of activation of the device to be activated, determine an alternative collection device based on the collection device information; and generate a backup device instruction based on the alternative collection device.

[0021] In some embodiments, the gas company management platform interacts with the government safety supervision sensor network platform and the gas company sensor network platform.

[0022] The gas company sensor network platform 140 is a platform that comprehensively manages gas company sensor information. In some embodiments, the gas company sensor network platform is configured as multiple distributed communication devices (e.g., communication networks, gateways, etc.). In some embodiments, the gas company sensor network platform interacts with the device object platform.

[0023] The device object platform 150 is a functional platform for generating sensing information and executing control information. In some embodiments, the device object platform 150 includes a signal acquisition device.

[0024] A signal acquisition device is a device that collects signals from the gas pipeline network. In some embodiments, the signal acquisition device includes a pressure sensor, a flow meter, a flow meter, a temperature sensor, and an ultrasonic detector. The signal acquisition device is deployed inside or outside the gas pipeline.

[0025] Gas pipeline network signals refer to data related to the operating status of the gas pipeline network, such as gas pressure, gas flow, gas velocity, gas temperature, and pipeline impurity deposit thickness. Impurity deposit thickness is measured using an ultrasonic detector. A gas pipeline network is a gas transmission network consisting of multiple gas pipelines and gas transportation-related equipment.

[0026] For detailed description of the above, please refer to Figures 2 to 4 Related description.

[0027] In some embodiments of this specification, based on the pipe network signal collection Internet of Things system 100 for smart gas supervision, an information operation closed loop can be formed between various functional platforms to coordinate and operate regularly, thereby realizing the informatization and intelligence of smart gas pipe network signal collection.

[0028] Figure 2 This is an exemplary flow chart of a pipeline network signal collection method for smart gas monitoring according to some embodiments of this specification. In some embodiments, process 200 of the pipeline network signal collection method for smart gas monitoring is executed by a gas company management platform (hereinafter referred to as the company management platform) of the pipeline network signal collection IoT system for smart gas monitoring.

[0029] like Figure 2 As shown, the process 200 of the pipeline network signal acquisition method for smart gas monitoring includes the following steps:

[0030] Step 210: Acquire the signal collection device information of the signal collection device in the gas pipe network.

[0031] In some embodiments, signal acquisition devices are divided into dormant acquisition devices and active acquisition devices based on their operating status. An active acquisition device refers to a signal acquisition device in an operating state. A dormant acquisition device refers to a signal acquisition device that is not in active operation. The company management platform can periodically send feedback instructions to the signal acquisition devices and receive feedback information from the signal acquisition devices, determining the operating status of signal acquisition devices that send feedback information as active, and determining the operating status of signal acquisition devices that do not send feedback information as inactive.

[0032] For a description of the signal acquisition device, see Figure 1 and its related descriptions.

[0033] Collection device information refers to information related to the signal collection device. For example, the signal collection device number, location, and type of gas network signal collected. The type of gas network signal refers to the type of gas network signal collected by the signal collection device. For example, the type of gas network signal collected by a pressure sensor is gas pressure.

[0034] In some embodiments, the company management platform can obtain the data acquisition device information from the storage of the gas company's server. After installing the signal acquisition device, the installer can upload the data acquisition device information to the pipeline signal acquisition IoT system 100 for smart gas monitoring by inputting the data, and the data is stored in the storage of the gas company's server.

[0035] Step 220: Determine the device to be activated based on the signal collection requirement and the collection device information.

[0036] Signal collection requirements refer to the need to collect gas pipeline network signals for gas pipeline network monitoring. In some embodiments, signal collection requirements include at least one of pipeline inspection requirements, gas monitoring requirements, hidden danger investigation requirements, gas control requirements, pipeline cleaning requirements, and pipeline replacement requirements. Signal collection requirements also include regional locations. Regional locations refer to the areas within the gas pipeline network where gas pipeline network signals need to be collected.

[0037] In some embodiments, signal collection requirements are automatically generated periodically by the company management platform to meet regular monitoring requirements for the gas pipeline network. The company management platform can also obtain signal collection requirements through the government safety supervision management platform and the government safety supervision sensor network platform. Supervisors on the government safety supervision management platform issue signal collection requirements based on actual needs.

[0038] In some embodiments, the company management platform can generate signal collection requirements based on feedback information. For example, when the feedback information includes pipe network cleaning information, the company management platform can generate pipe cleaning requirements as signal collection requirements based on the gas pipelines or areas that need to be cleaned in the pipe network renovation information. For an explanation of feedback information, please refer to Figure 4 and its related descriptions.

[0039] The device to be activated refers to a dormant collection device that needs to be activated. It is understood that when the running collection device cannot meet the signal collection requirements, the dormant collection device needs to be activated to collect gas pipeline network signals to meet the signal collection requirements.

[0040] In some embodiments, based on the signal collection requirement, the company management platform queries the collection requirement table for the type of gas pipe network signal corresponding to the signal collection requirement. Based on the regional location and collection device information in the signal collection requirement, the platform identifies the dormant collection devices within the regional location that are used to collect gas pipe network signals of that type as devices to be activated. For example, if the signal collection requirement is a pipeline cleaning requirement, the type of gas pipe network signal corresponding to the pipeline cleaning requirement in the collection requirement table includes the thickness of impurity deposits in the pipeline.

[0041] For more information about the collection requirement table, please refer to the relevant instructions in the subsequent step 240.

[0042] 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's sensor network platform to activate the device to be activated and obtain an activation collection device.

[0043] The activation instruction is an instruction for activating the device to be activated. In some embodiments, the company management platform determines the serial number of the device to be activated based on the collected device information of the device to be activated, and generates the activation instruction based on the serial number.

[0044] The activated collection device refers to the device to be activated after activation.

[0045] In some embodiments, the company management platform may send an activation instruction to the device to be activated on the device object platform through the gas company sensor network platform to activate the device to be activated.

[0046] Step 240: Determine signal acquisition parameters based on signal acquisition requirements.

[0047] Signal acquisition parameters refer to parameters related to the operation of the signal acquisition device. In some embodiments, these parameters include signal type, acquisition time, acquisition cycle, and acquisition volume. Signal type refers to the type of gas pipeline network signal that can be acquired. Acquisition volume refers to the amount of gas pipeline network signal data required to be acquired. In some embodiments, the acquisition volume can be represented by the amount of memory occupied by the acquired gas pipeline network signal.

[0048] In some embodiments, the company management platform determines the signal acquisition parameters based on the signal acquisition requirements in various ways. For example, the acquisition requirements table may also include signal acquisition parameters corresponding to the signal acquisition requirements. Based on the signal acquisition requirements, the company management platform may query the acquisition requirements table for the signal acquisition parameters corresponding to the signal acquisition requirements and determine the obtained signal acquisition parameters as the current signal acquisition parameters.

[0049] In some embodiments, a collection requirement table is pre-set by a technician based on historical collection records. For example, for each signal collection requirement, the technician screens a large number of gas pipeline network signals collected from historical collection records to obtain multiple gas pipeline network signals of the same type that meet the signal collection requirement. The technician then calculates the mean of the signal collection parameters of the multiple gas pipeline network signals and constructs a collection requirement table based on the signal collection requirement, the type of gas pipeline network signals that meet the signal collection requirement, and the mean of the signal collection parameters corresponding to the gas pipeline network signals. Historical collection records refer to records of gas pipeline network signals collected in the past. The company management platform can access historical collection records through storage.

[0050] Since there may be multiple gas pipeline network signals that can meet the signal acquisition requirements, each signal acquisition requirement in the acquisition requirement table may correspond to multiple gas pipeline network signal types and signal acquisition parameters corresponding to each type.

[0051] In some embodiments, the company management platform determines at least one collection device group based on the collection device information, signal collection requirements, activated collection devices, and running collection devices; and determines the signal collection parameters corresponding to at least one collection device group based on the signal collection requirements and collection device information.

[0052] A collection device group refers to a combination of multiple signal collection devices. In some embodiments, one collection device group corresponds to one signal collection requirement.

[0053] In some embodiments, the company management platform can determine the acquisition device group in various ways. For example, based on the signal acquisition requirements, the company management platform can determine the signal acquisition parameters for activating the acquisition device and the signal acquisition parameters for operating the acquisition device using the acquisition requirements table. The company management platform can also classify multiple signal acquisition devices based on their importance, location in the acquisition device information, and signal type, acquisition time, acquisition cycle, and acquisition volume in the signal acquisition parameters to obtain at least one acquisition device group.

[0054] In some embodiments, classifying multiple signal acquisition devices includes: determining target acquisition devices based on original acquisition parameters and current signal acquisition parameters; and performing cluster analysis based on the target acquisition devices' locations, original acquisition parameters, and importance to obtain at least one acquisition device group. The importance of the signal acquisition devices can be preset by gas company staff. A target acquisition device refers to a signal acquisition device whose original acquisition parameters are identical to the current signal acquisition parameters. Original acquisition parameters refer to signal acquisition parameters used by the signal acquisition device in the past. Current signal acquisition parameters refer to signal acquisition parameters determined by an acquisition requirements table. The company management platform can access the original acquisition parameters through storage.

[0055] In some embodiments, the importance of a signal acquisition device can also be determined based on the level of the pipeline in which the signal acquisition device is located (e.g., main pipeline, primary branch, secondary branch, etc.). The higher the pipeline level, the higher the importance. The importance can be expressed numerically, with a larger numerical value indicating a higher importance.

[0056] In some embodiments, cluster analysis methods may include K-means clustering, hierarchical clustering, etc. K-means clustering is used as an example for introduction. Determining at least one collection device group through K-means clustering may include the following steps:

[0057] S11. The number of signal acquisition parameters found through the acquisition requirement table is the number of clusters k;

[0058] S12. Constructing a parameter vector based on the position, original acquisition parameters, and importance of each target acquisition device, wherein the parameter vector is a feature vector constructed based on the position, original acquisition parameters, and importance, and each target acquisition device corresponds to one parameter vector;

[0059] S13, randomly selecting k target acquisition devices from the plurality of target acquisition devices as initial clustering centers;

[0060] S14, calculating the vector distance between the parameter vector of each target acquisition device and the parameter vector of the initial cluster center, and assigning the target acquisition device to the cluster where the initial cluster center with the shortest vector distance is located;

[0061] S15. For each cluster, calculate the mean of the feature vectors of multiple target acquisition devices therein as a new cluster center;

[0062] S16, repeat steps S14 to S15 until the cluster center no longer changes, and obtain the final cluster;

[0063] S17. Each final cluster is regarded as a collection device group.

[0064] In some embodiments, the company management platform determines the similarity between signal acquisition devices based on acquisition device information and historical feedback information; and determines at least one acquisition device group based on the similarity and signal acquisition requirements. Historical feedback information refers to feedback information contained in historical data. The company management platform can access historical feedback information from a storage device. For information regarding feedback information, see the following description.

[0065] Similarity refers to the degree of similarity between signal acquisition devices. In some embodiments, the similarity includes the location similarity and environment similarity of the signal acquisition devices.

[0066] Position similarity refers to the similarity of abnormal conditions at the location of the signal acquisition device. Abnormal conditions include failures or hidden dangers.

[0067] In some embodiments, the location similarity can be determined based on historical feedback information in historical data. For example, the company management platform can obtain the number of abnormal situations at the location of the signal acquisition device from the historical feedback information. If the number of failures / hidden dangers corresponding to any two signal acquisition devices exceeds the preset number threshold, the location similarity between the two signal acquisition devices is set to 1; if the number of failures / hidden dangers corresponding to at least one of the two signal acquisition devices does not exceed the preset number threshold, the location similarity between the two is calculated using a preset similarity formula. The location of the signal acquisition device is determined based on the acquisition device information. For example, the preset similarity formula is shown in formula (1):

[0068] (1)

[0069] in, is the position similarity between the two signal acquisition devices, is the number of times an abnormal situation occurs at the location of a signal collection device. The number of times an abnormality occurs at the location of the other signal acquisition device. In some embodiments, if either 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 pre-set based on historical experience.

[0070] Environmental similarity refers to the similarity of the environmental conditions at the location of the signal acquisition device. Environmental conditions include temperature, humidity, traffic flow, etc. Traffic flow can be obtained through third-party platforms or traffic monitoring.

[0071] In some embodiments, 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 temperature similarity, humidity similarity, and gas flow similarity for any two signal acquisition devices, and uses the average of these similarities as environmental similarity. The calculation of temperature similarity, humidity similarity, and gas flow similarity is similar to the calculation of location similarity.

[0072] In some embodiments, the company management platform may also determine the similarity between signal collection devices through a similarity model.

[0073] A similarity model is 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 (RNN) model.

[0074] In some embodiments, the input of the similarity model includes the acquisition device information, location similarity, environment similarity, and the second device group of the two signal acquisition devices, and the output includes similarity. The second device group includes a general device group and a special device group. For a description of the general device group and the special device group, see Figure 4 and its related descriptions.

[0075] In some embodiments, a similarity model can be trained using a similarity training set. The similarity training set includes a large number of similarity samples with similarity labels. The similarity samples may include sample acquisition device information, sample location similarity, sample environment similarity, and the sample second device group of the two sample signal acquisition devices. The similarity label includes a similarity calculated based on the similarity samples.

[0076] In some embodiments, similarity samples can be obtained based on historical acquisition records. The similarity label can be determined based on whether the historical gas network signal collected by the historical acquisition device group in the historical acquisition record can meet the historical signal acquisition requirements. For example, if the historical gas network signal can meet the historical signal acquisition requirements, the company management platform can set the similarity label between any two historical signal acquisition devices in the corresponding historical acquisition device group to 1; if it cannot meet the historical signal acquisition requirements, the similarity label is calculated according to the preset label formula. For example, the preset label formula is shown in formula (2):

[0077] (2)

[0078] Where S is the similarity label, n is the sum of the number of misjudgments in historical feedback information and the number of adjustments to signal collection parameters by the company management platform based on historical feedback information after the historical gas pipeline signal failed to meet the historical signal collection requirements, and N is the total number of historical collections. The total number of historical collections refers to the total number of historical gas pipeline signals collected by the historical collection device group to meet the historical signal collection requirements. Whether the historical signal collection requirements can be met is determined by manual labeling by technical personnel based on actual conditions. For example, if the historical gas pipeline signal collected by the historical collection device group causes misjudgments in historical feedback information, the historical signal collection requirements cannot be met.

[0079] Misjudgment refers to the fact that the government safety supervision company management platform generates incorrect historical feedback information based on historical gas pipeline network signals. For information on how the company management platform adjusts signal acquisition parameters based on feedback information, please refer to Figure 4 and its related descriptions.

[0080] The similarity model can be trained by inputting the similarity training set into the initial similarity model, constructing a loss function based on the similarity labels and the output of the initial similarity model, and iteratively updating the initial acquisition model based on the loss function. When the loss function of the initial similarity model meets the preset iteration conditions, the similarity model training is completed. The preset iteration conditions can include convergence of the loss function and the number of iterations reaching a set value.

[0081] In some embodiments, the company management platform determines multiple preliminary groups based on similarities between signal acquisition devices, and determines at least one acquisition device group based on the preliminary groups. The preliminary group is a collection of multiple similar signal acquisition devices.

[0082] In some embodiments, the company management platform can use clustering to determine multiple preliminary groups based on similarity, so that signal acquisition devices with high similarity are assigned to the same preliminary group. The clustering method is similar to the process described in steps S11 to S17, except that in step S14, the calculation of vector distance is replaced with the calculation of similarity, and the signal acquisition device is assigned to the cluster with the cluster center with the highest similarity.

[0083] In some embodiments, the company management platform can select multiple preliminary groups within a regional location and corresponding to the required gas pipeline network signal type, and select a preset number of signal acquisition devices to form a collection device group. The preset number can be pre-set based on historical experience. The required gas pipeline network signal type refers to the type of gas pipeline network signal corresponding to the signal acquisition requirement.

[0084] In some embodiments of this specification, by considering the similarity of different signal acquisition devices, a group of acquisition devices with higher acquisition efficiency can be determined, so that signal acquisition devices in the same acquisition parameter group can collaboratively acquire gas network signals.

[0085] In some embodiments, the company management platform, based on the signal collection parameters of each signal collection device in each collection device group, sequentially sends signal collection instructions to the corresponding signal collection devices through the gas company sensor network platform and the device object platform, grouped by collection device group. The signal collection instructions include the signal collection parameters.

[0086] It can be understood that by dividing the acquisition device groups and sending the signal acquisition parameters to the corresponding signal acquisition devices according to the groups, when the signal acquisition parameters of some signal acquisition devices are subsequently updated, the signal acquisition devices can be searched from the acquisition device groups or the signal acquisition parameters can be updated in units of acquisition device groups, thereby improving the control efficiency of signal acquisition.

[0087] In some embodiments, the collection amounts of different signal collection devices in the same collection device group may be different. For details on determining the collection amounts of different signal collection devices, see Figure 3 and its related descriptions.

[0088] In some embodiments of this specification, by dividing the signal acquisition device into multiple acquisition device groups and sending signal acquisition parameters according to the acquisition device groups, the control efficiency of the signal acquisition parameters can be improved, thereby improving the efficiency of gas pipeline network signal acquisition and avoiding repeated adjustments.

[0089] In some embodiments, the company management platform can determine the collection amount of at least one collection device in a group through the collection model; and can also determine the signal collection parameters corresponding to at least one collection device group based on the collection priority and collection device information. Figure 3 and its related descriptions.

[0090] In some embodiments, the company management platform may determine a collection priority based on signal collection requirements; and determine a signal collection parameter corresponding to at least one collection device group based on the collection priority and collection device information.

[0091] The acquisition priority is used to characterize the priority of different signal acquisition requirements. In some embodiments, the acquisition priority can be represented by a numerical value or the like, where a larger numerical value indicates a higher acquisition priority.

[0092] In some embodiments, the company management platform may receive multiple signal collection requests simultaneously. If, due to limitations on the number of signal collection devices, multiple signal collection requests cannot be collected simultaneously, the order of signal collection among the multiple signal collection requests may be determined based on their collection priorities. The company management platform will prioritize signal collection requests with higher collection priorities.

[0093] In some embodiments, the company management platform may determine the collection priority in a variety of ways. For example, the company management platform may determine the collection priority corresponding to the signal collection requirement through a priority table based on the signal collection requirement.

[0094] A priority table can be pre-set by gas company technicians based on historical experience, including various signal collection requirements and the collection priority of each signal collection requirement. For example, a hidden danger inspection requirement requires the use of gas pipeline network signals to identify safety hazards in the gas pipeline network. This requirement is more urgent and has a higher collection priority.

[0095] In some embodiments, the company management platform also determines collection priorities based on signal collection requirements and feedback information.

[0096] In some embodiments, the company management platform may determine an adjustment coefficient based on negative information in the feedback information corresponding to the signal collection requirement, and modify the collection priority determined by the priority table according to the adjustment coefficient to obtain a new collection priority.

[0097] Negative information refers to information in the feedback that indicates that the gas pipeline network needs improvement, such as information indicating that the gas pipeline network needs cleaning, repair, or renovation.

[0098] Feedback information refers to information fed back to the company's management platform by the government's safety supervision and management platform. Examples include pipeline network renovation information, pipeline network cleaning information, and gas outage information. Pipeline network renovation information includes gas pipelines or areas requiring renovation. Pipeline network cleaning information includes gas pipelines or areas requiring cleaning. Gas outage information includes areas requiring gas outages.

[0099] In some embodiments, after the company management platform uploads the gas pipeline network signal to the government safety supervision and management platform via the government safety supervision sensor network platform, the government safety supervision and management platform can analyze the gas pipeline network signal to obtain at least one analysis result and provide at least one analysis result as feedback information. For example, if the government safety supervision and management platform analyzes the gas pipeline network signal and discovers that the gas pipeline network is aging and requires renovation, it will issue a pipeline renovation message. It is understood that the government safety supervision and management platform receives a large number of gas pipeline network signals corresponding to multiple signal collection requirements and can analyze and obtain multiple analysis results corresponding to each signal collection requirement, thereby providing feedback information including multiple sets of data, each set of data corresponding to a signal collection requirement.

[0100] For instructions on how to obtain feedback, see Figure 4 and its related descriptions.

[0101] In some embodiments, for each signal collection requirement, the company management platform selects a group of feedback information corresponding to the signal collection requirement and counts the number of feedback information in the group that includes negative information. The company management platform may calculate the ratio of the aforementioned number to the total number of feedback information in the group, and add 1 to the resulting ratio to obtain an adjustment coefficient.

[0102] In some embodiments, the company management platform uses the product of the collection priority determined by the priority table and the adjustment coefficient as the new collection priority.

[0103] In some embodiments, the company management platform prioritizes the regional locations corresponding to signal acquisition requirements with higher acquisition priorities according to the acquisition priority and acquisition device information, and determines the acquisition device group based on multiple preparatory groups and regional locations. 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 device by group through the gas company sensor network platform and device object platform. For instructions on the preparatory group, acquisition requirement table, and how to determine the acquisition device, see the relevant description above. For instructions on the acquisition model, see Figure 3 and its related descriptions.

[0104] In some embodiments, the company management platform can determine the 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 a description of the general device group and the special device group, see Figure 4 and its related descriptions.

[0105] In some embodiments, the company management platform may give priority to the signal acquisition device whose second device group is a special device group as the signal acquisition device corresponding to the signal acquisition demand with a higher acquisition priority, and set signal acquisition parameters of different time sequences for the signal acquisition devices in the special device group according to the acquisition priority. At the same time, when multiple signal acquisition demands are collected through the signal acquisition device of the special device group, the acquisition order of different signal acquisition demands is determined according to the acquisition priority. For example, for multiple signal acquisition demands with different acquisition priorities, the acquisition order of the signal acquisition demand with a higher acquisition priority is higher; for multiple signal acquisition demands with the same acquisition priority, the acquisition order of the signal acquisition demand with a shorter acquisition time is higher.

[0106] For example, there are two signal acquisition requirements with different acquisition priorities. Two groups of signal acquisition parameters with different acquisition times are set for the signal acquisition devices in the special device group. The signal acquisition parameters with earlier acquisition times correspond to signal acquisition requirements with higher acquisition priorities.

[0107] In some embodiments of the present specification, the acquisition priority is determined by feedback information, so that when selecting the acquisition device group, the order of signal acquisition in actual applications can be more consistent, thereby ensuring the signal acquisition effect; through the general device group and the special device group, the characteristics of different signal acquisition devices can be fully considered, and the signal acquisition parameters of the signal acquisition devices in the special device group can be determined preferentially, so as to avoid affecting the normal operation of other signal acquisition devices when adjusting the signal acquisition parameters.

[0108] In some embodiments of this specification, signal acquisition parameters of different acquisition device groups are determined by acquisition priority, which can improve signal acquisition efficiency and ensure that signal acquisition prioritizes more important or urgent signal acquisition needs.

[0109] Step 250: Send signal acquisition parameters to the device object platform through the gas company sensor 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 to obtain the gas network signal.

[0110] In some embodiments, the company management platform can send multiple signal collection parameters to the activation collection device and the operation collection device of the device object platform via the gas company sensor network platform, respectively, to control the activation collection device and the operation collection device to collect signals according to the signal collection parameters. The operation collection device overwrites the original collection parameters with the signal collection parameters and collects signals based on the signal collection parameters. The activation collection device directly collects signals based on the signal collection parameters.

[0111] Step 260: In response to the failure of activation of the device to be activated, determine a replacement collection device based on the collection device information.

[0112] Activation failure means that the device being activated was not successfully activated. Activation failure may occur when the device being activated has insufficient power, communication function failure, or signal acquisition device damage.

[0113] In some embodiments, the company management platform can determine whether the activation of a device to be activated has failed in various ways. For example, the company management platform can send an activation instruction to the device to be activated along with a feedback instruction. If the device to be activated is successfully activated, the company management platform can send a successful activation message to the company management platform based on the feedback instruction. In another example, the company management platform can determine whether the activation of the device to be activated has failed by receiving a gas pipeline network signal uploaded by the device to be activated. If no gas pipeline network signal is received from the device to be activated, it indicates that the device to be activated has not been successfully activated.

[0114] In some embodiments, the company management platform can obtain the signal collection requirements corresponding to the collection device group where the device to be activated that failed to be activated is located. In response to the collection priority of the signal collection requirement exceeding the priority threshold, an update instruction is generated and sent to the equipment maintenance personnel to update or maintain the device to be activated that failed to be activated, so as to avoid failure to meet the subsequent signal collection requirements with higher collection priorities. Among them, the priority threshold can be pre-set by the gas company staff. For an explanation of the collection priority, see Figure 3 and its related descriptions.

[0115] The replacement acquisition device refers to a signal acquisition device that performs signal acquisition on behalf of the device to be activated that has failed to be activated.

[0116] In some embodiments, the company management platform can determine a replacement collection device using various methods. For example, the company management platform can use the closest idle collection device of the same model as the failed activation device as the replacement collection device. For another example, the company management platform can use the same idle collection device of the same model as the failed activation device on the same gas pipeline as the failed activation device as the replacement collection device. An idle collection device refers to a dormant collection device that has not been activated.

[0117] Step 270: Generate a backup device instruction based on the alternative acquisition device, and send the backup device instruction to the device object platform through the gas company sensor network platform to control the alternative acquisition device to perform signal acquisition.

[0118] The backup device instruction is an instruction for controlling the alternative acquisition device to acquire signals. In some embodiments, the backup device instruction includes the number of the alternative acquisition device and signal acquisition parameters.

[0119] In some embodiments, the company management platform may send a backup device instruction to the alternative collection device of the equipment object platform through the gas company sensor network platform to control the alternative collection device to collect signals.

[0120] In some embodiments of this specification, by determining the acquisition device to be activated and the acquisition parameters according to the signal acquisition requirements, the same set of signal acquisition devices can meet different signal acquisition requirements, thereby improving signal acquisition efficiency and utilization of signal acquisition resources.

[0121] It should be noted that the above description of process 200 of the pipeline network signal collection method for smart gas monitoring is for illustrative purposes only and does not limit the scope of application of this specification. Those skilled in the art will appreciate the guidance of this specification and the various modifications and alterations to process 200 of the pipeline network signal collection method for smart gas monitoring that may be made. However, such modifications and alterations remain within the scope of this specification.

[0122] Figure 3 is an exemplary schematic diagram of the acquisition model shown in some embodiments of this specification.

[0123] In some embodiments, for at least one intra-group acquisition device in at least one acquisition device group, the company management platform determines the acquisition amount of at least one intra-group acquisition device through the acquisition model based on the signal acquisition requirements, acquisition device information and the first device group. The intra-group acquisition device refers to the signal acquisition device in the acquisition device group. The training process of the acquisition model includes: determining multiple training data sets based on the first device group; and alternately training the initial acquisition model through multiple training data sets, and the learning rate in the alternating training process is determined based on the rate of change of the difference between the output of the initial acquisition model and the label. For relevant instructions on signal acquisition requirements, acquisition device information, and acquisition amount, see Figure 2 and its related descriptions.

[0124] 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.

[0125] In some embodiments, as Figure 3 As shown, the input of the collection model 340 may include signal collection requirements 310 , collection device information 320 , and a first device group 330 ; and the output may include the collection volume 350 of the collection devices in the group.

[0126] The first device group refers to the preliminary group to which the collection devices in the group belong. For an explanation of the preliminary group, see step 240 and its related description.

[0127] A training dataset refers to a dataset used to train an acquisition model. In some embodiments, the training dataset may include a large number of labeled training samples. The training samples may include sample acquisition device information, sample signal acquisition requirements, and sample first device group for acquisition devices within different sample groups. The label may be the actual acquisition volume corresponding to the acquisition device within the sample group. In some embodiments, the company management platform collects historical acquisition records of multiple historical acquisition volumes that can meet the sample signal acquisition requirements of the acquisition device within the sample group, and uses the lowest value or average of the multiple historical acquisition volumes as the label.

[0128] In some embodiments, the company management platform may classify a large number of training samples in historical collection records based on the first device group of the collection devices in the sample group to obtain multiple training data sets, where each training data set corresponds to a first device group.

[0129] Alternating training refers to training the initial acquisition model using different training datasets in alternating fashion. For example, the company management platform randomly selects two training datasets from multiple training datasets as a set of training datasets, and alternately inputs the two training datasets from this set into the initial acquisition model to train the initial acquisition model. The company management platform can generate multiple sets of training datasets to train the initial acquisition model.

[0130] In some embodiments, the acquisition model can be trained by alternately inputting two training datasets into an initial acquisition model, constructing a loss function based on the labels and the output of the initial acquisition model, iteratively updating the initial acquisition model based on the loss function, and when the loss function of the initial acquisition model meets a preset iteration condition, training with the next training dataset and iteratively updating the initial acquisition model until the loss functions corresponding to all training datasets meet the preset iteration condition, completing acquisition model training. The preset iteration condition may include convergence of the loss function or a set number of iterations.

[0131] In some embodiments, the company management platform can adjust the learning rate of the training acquisition model based on the output change rate.

[0132] The output change rate is used to characterize the change in the difference between the output of the initial acquisition model and the label. In some embodiments, the company management platform calculates the difference between each output of the initial acquisition model and the label to obtain multiple differences. By comparing the differences, the company management platform determines multiple output change rates. For example, the company management platform calculates the ratio of the currently compared difference to the previous difference and determines the resulting ratio as the output change rate corresponding to the currently compared difference.

[0133] For example, if the magnitude of the output rate of change increases within a preset number of consecutive changes, the learning rate is decreased; if the magnitude of the output rate of change decreases within a preset number of consecutive changes, the learning rate is increased. The preset number of changes can be pre-set based on historical experience. The magnitude of the decrease or increase in the learning rate is positively correlated with the magnitude of the output rate of change. As an example only, the company management platform calculates the average of the magnitudes of the output rate of change within the preset number of consecutive changes and uses the average as the magnitude of the decrease or increase in the learning rate.

[0134] In some embodiments, the company management platform can also use the acquisition priority of the signal acquisition requirements as input to the acquisition model to obtain the corresponding acquisition quantity for each signal acquisition device in the acquisition device group. When the acquisition model input includes acquisition priority, the training sample also includes sample acquisition priority, and the sample acquisition priority corresponds to the sample signal acquisition requirements.

[0135] In some embodiments of the present specification, the acquisition amount 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 is 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; the learning rate is adjusted by the rate of change of the difference between the model output and the sampling label during the training process, which can improve the efficiency of model training.

[0136] Figure 4 This is an exemplary flow chart for determining signal acquisition parameters according to some embodiments of this specification. In some embodiments, process 400 for determining signal acquisition parameters is executed by a gas company management platform (hereinafter referred to as the company management platform) of a pipeline network signal acquisition IoT system for smart gas monitoring.

[0137] like Figure 4 As shown, the process 400 of determining signal acquisition parameters includes the following steps:

[0138] Step 410: Obtain feedback information from the government security supervision management platform through the government security supervision sensor network platform.

[0139] For an explanation of the feedback information, please refer to step 240 and its related description.

[0140] In some embodiments, the government security supervision management platform can proactively send feedback information to the company management platform. The company management platform can also send an acquisition request to the government security supervision management platform via the government security supervision sensor network platform to obtain feedback information determined by the government security supervision management platform.

[0141] Step 420: Determine the signal coverage area of ​​the feedback information based on the feedback information.

[0142] The signal coverage area refers to the area corresponding to the feedback information that requires follow-up work. Follow-up work may include gas pipeline monitoring, pipeline modification, pipeline cleaning, hidden danger inspection, and gas outage.

[0143] In some embodiments, the company management platform can determine the area where follow-up work is required based on the feedback information. For example, the company management platform can use the area surrounded by multiple signal collection devices in the area where follow-up work is required as the signal coverage area.

[0144] In some embodiments, the government security supervision management platform may send multiple feedback messages, each feedback message corresponding to a signal coverage area.

[0145] Step 430: Determine a general device group and a special device group based on the signal coverage area.

[0146] A general device group refers to a set of signal acquisition devices that can meet most signal acquisition requirements. For example, a set of signal acquisition devices that can meet more than 75% of signal acquisition requirements.

[0147] A special device group is a collection of signal acquisition devices that can meet a small number of signal acquisition needs. For example, a collection of signal acquisition devices that can meet less than 20% of signal acquisition needs.

[0148] In some embodiments, the company management platform can calculate the percentage of times a signal acquisition device appears in multiple historical signal coverage areas in historical data, and classify signal acquisition devices whose percentage exceeds a threshold into a general device group, while signal acquisition devices whose percentage does not exceed the threshold into a special device group. The percentage threshold can be pre-set by gas company staff based on historical experience.

[0149] In some embodiments, the company management platform determines the overlap of signal collection devices based on the signal coverage area; and determines the general device group and the special device group based on the overlap.

[0150] The overlap degree is used to characterize the versatility of the signal acquisition device. In some embodiments, the overlap degree is represented by a numerical value or the like, where a larger numerical value indicates a higher overlap degree.

[0151] 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 of the signal acquisition device. For example, if there are 10 signal coverage areas and a signal acquisition device is present in 6 of them, the overlap of the signal acquisition device is 6.

[0152] In some embodiments, the company management platform can classify signal acquisition devices within a pipeline area with a degree of overlap greater than a threshold into a general device group, and signal acquisition devices with a degree of overlap less than the threshold into a special device group. A pipeline area refers to an area divided by gas pipeline type, such as the area where the main pipeline is located. Gas pipeline types can be pre-configured, for example, including main pipelines, primary branch pipelines, and secondary branch pipelines.

[0153] In some embodiments, each pipeline area corresponds to a coincidence threshold. The company management platform can determine the coincidence thresholds for different pipeline areas using a coincidence threshold formula 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. For example, the coincidence threshold formula is shown in the following formula (3):

[0154] (3)

[0155] Where Y is the coincidence threshold, Y0 is the initial coincidence threshold, x is the number of historical feedback information types, and f is the number of occurrences of historical feedback information. It can be understood that the more types of historical feedback information there are and the more frequent the occurrences, the lower the coincidence threshold, and the more likely the signal acquisition device is to be assigned to the general device group. The initial coincidence threshold for the pipeline area is pre-set by gas company staff based on historical experience.

[0156] In some embodiments, the company management platform may also determine general device groups and special device groups using a preset algorithm based on historical collection records, and dynamically adjust the general device groups and special device groups using the preset algorithm as historical collection records increase. The preset algorithm may be pre-set by a technician based on historical experience.

[0157] The preset algorithm includes the following steps:

[0158] S41. Determine the historical signal coverage area corresponding to each historical acquisition record based on the historical acquisition records, and treat 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 treat these three signal acquisition devices as a device set.

[0159] S42. For each device set in the plurality of device sets, obtain a plurality of subsets of the device set based on the device set, and use the ratio of the number of occurrences of the subset to the total number of device sets as the occurrence rate of the subset.

[0160] A subset is a set formed by any combination of 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 subset includes the set {Signal Acquisition Device 1}, {Signal Acquisition Device 2}, {Signal Acquisition Device 3} of any element in the device set, as well as any set consisting of any two or three elements in the device set.

[0161] The number of occurrences of a subset refers to the number of times a subset appears in multiple subsets generated by different device sets. For example, if device set H can generate subset h, and device set I can also generate subset h, then the number of occurrences of subset h is 2.

[0162] S43: The subset whose occurrence rate is greater than the preset occurrence threshold is regarded as the frequent subset.

[0163] In some embodiments, the company management platform determines a preset occurrence threshold based on the number of signal acquisition devices that are less used in the historical general device group and the total number of signal acquisition devices. As an example only, the preset occurrence threshold can be calculated using formula (4):

[0164] (4)

[0165] Where P0 is the initial value of the preset occurrence threshold, r is the number of less frequently used signal acquisition devices, and s is the total number of signal acquisition devices. A less frequently used signal acquisition device refers to a signal acquisition device in the historical set of common devices that has been used less than a preset threshold (e.g., three times). The initial values ​​for the preset threshold and the preset occurrence threshold are pre-set by staff based on historical experience.

[0166] S44. The frequent subset containing the largest number of signal acquisition devices is used as the general group of acquisition devices; the subset whose occurrence times are less than or equal to the preset threshold is used as the special group of acquisition devices; and the remaining subsets are used as independent signal acquisition devices.

[0167] Step 440 : Determine the device to be activated based on the signal collection requirement, the collection device information, the general device group, and the special device group.

[0168] In some embodiments, when determining the device to be activated, the company management platform may preferentially select the dormant collection device in the general device group as the device to be activated.

[0169] In some embodiments, for instructions on determining the device to be activated based on signal acquisition requirements and acquisition device information, see Figure 2 and its related descriptions.

[0170] In some embodiments, the company management platform can determine at least one classification group based on the collected device information; classify the devices to be activated that failed to be activated into at least one group of devices to be processed based on the classification group to which the devices to be activated that failed to be activated belong; and generate update instructions based on the at least one group of devices to be processed to update or maintain the devices to be activated that failed to be activated.

[0171] The classification group refers to the grouping of signal acquisition devices. The signal acquisition devices in each classification group are of the same or similar model, location, and importance. For details on importance, see step 240 and its related description.

[0172] In some embodiments, the company management platform may classify signal acquisition devices that are located in the same pipeline area, have similar importance, and are of the same or similar models into a classification group, wherein signal acquisition devices of the same or similar models refer to signal acquisition devices that collect the same type of gas pipeline signals.

[0173] The device group to be processed refers to a combination of signal acquisition devices that need to be updated or repaired.

[0174] In some embodiments, the company management platform can classify the devices to be activated that have failed to be activated 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.

[0175] The update instruction is an instruction to update or maintain the signal acquisition device in the device group to be processed. In some embodiments, the update instruction includes the update and maintenance time of the device group to be processed.

[0176] In some embodiments, the company management platform generates an update instruction based on the importance 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 to an earlier time.

[0177] In some embodiments, the company management platform determines the importance value of the device group to be processed based on the overlap of the signal acquisition devices in the device group to be processed and the acquisition priority. The higher the overlap and the higher the acquisition priority, the higher the importance value. As an example only, the importance value of the device group to be processed can be the sum of the average overlap and the average acquisition priority of multiple signal acquisition devices in the device group to be processed. For more information about acquisition priority, see Figure 2 and its related descriptions.

[0178] In some embodiments, the company management platform may send an update instruction to maintenance personnel to update or maintain the signal acquisition devices in the device group to be processed.

[0179] In some embodiments of this specification, different groups of devices to be processed are divided according to the characteristics of the signal acquisition device, and their processing order is determined by their importance values. More important or urgent groups of devices to be processed can be updated or maintained first.

[0180] Step 450: Update the signal acquisition parameters corresponding to the general device group.

[0181] In some embodiments, the company management platform determines multiple signal collection requirements corresponding to a general device group using a collection requirements table based on the signal collection requirements, and updates the signal collection parameters corresponding to the general device group based on the multiple signal collection requirements. For example, the company management platform determines multiple collection quantities using a collection model based on the multiple signal collection requirements, and uses the maximum of the collection quantities as the collection quantity for the signal collection devices in the general device group.

[0182] For another example, the company management platform determines multiple signal acquisition parameters corresponding to multiple signal acquisition requirements through the acquisition requirement table, selects the longest acquisition time among the multiple signal acquisition parameters, and selects the shortest acquisition period among the multiple signal acquisition parameters as the acquisition time and acquisition period of the signal acquisition device in the general device group. For relevant instructions on the acquisition model, see Figure 3 For details about the collection requirements table, see Figure 2 and its related descriptions.

[0183] In some embodiments of this specification, by defining general device groups and specialized device groups, the roles of different signal acquisition devices in the signal acquisition process can be effectively differentiated. By separately adjusting the signal acquisition parameters of the general device group and specialized device groups, appropriate hardware guarantees are provided to fully meet diverse signal acquisition requirements. Furthermore, by setting only one set of signal acquisition parameters for the general device group, multiple signal acquisition requirements can be met, further improving signal acquisition control efficiency.

[0184] Some embodiments of this specification further provide a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes any one of the methods in the above embodiments.

[0185] Furthermore, certain features, structures, or characteristics in one or more embodiments of this specification may be appropriately combined.

[0186] In some embodiments, the numerical parameters used in the specification and claims are approximate values, which may vary depending on the desired features of individual embodiments. In some embodiments, numerical parameters should take into account the specified number of significant digits and adopt a general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0187] If there is any inconsistency or conflict between the descriptions, definitions, and / or usage of terms in the materials cited in this specification and the contents described in this specification, the descriptions, definitions, and / or usage of terms in this specification shall prevail.

Claims

1. A pipe network signal acquisition method for smart gas monitoring, characterized in that: The method is executed by a gas company management platform of a pipe network signal acquisition Internet of Things system for smart gas supervision, and the method includes: Acquire acquisition device information of a signal acquisition device in a gas pipe network, wherein the signal acquisition device includes a dormant acquisition device and an active acquisition device; Obtain feedback information from the government safety supervision management platform through the government safety supervision sensor network platform; Determining a 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 a device to be activated based on signal collection requirements, the collection device information, the general device group, and the special device group; generating an activation instruction based on the device to be activated to activate the device to be activated, thereby obtaining an activated collection device; Determining signal acquisition parameters based on the signal acquisition requirements and updating the signal acquisition parameters corresponding to the general device group based on the signal acquisition requirements; Controlling the activation acquisition device and the operation acquisition device to perform signal acquisition according to the signal acquisition parameters to obtain a gas network signal; In response to the failure of activation of the device to be activated, determining a replacement collection device based on the collection device information; and Based on the alternative acquisition device, a backup device instruction is generated to control the alternative acquisition device to perform signal acquisition.

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

3. The method according to claim 2, wherein The determining, based on the signal acquisition requirement and the acquisition device information, the signal acquisition parameters corresponding to the at least one acquisition device group includes: Determining an acquisition priority based on the signal acquisition requirements; and The signal acquisition parameters corresponding to the at least one acquisition device group are determined based on the acquisition priority and the acquisition device information.

4. The method according to claim 3, wherein The method further comprises: Determining the acquisition priority based on the signal acquisition requirements and feedback information; and determining the signal acquisition parameters corresponding to the at least one acquisition device group based on the acquisition priority and a second device group, the second device group including the general device group and the special device group; The general device group includes the signal acquisition devices whose overlap in the pipeline area is greater than the overlap threshold; the special device group includes the signal acquisition devices whose overlap in the pipeline area is not greater than the overlap threshold; the overlap represents the versatility of the signal acquisition device.

5. A pipe network signal acquisition Internet of Things system for smart 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. The government safety supervision object platform includes a gas company management platform. The gas company management platform is configured on the gas company's server. The gas company sensor network platform is composed of multiple distributed communication devices. The device object platform is communicatively connected to multiple signal acquisition devices. 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: Acquire acquisition device information of a signal acquisition device in a gas pipe network, wherein the signal acquisition device includes a dormant acquisition device and an active acquisition device; Obtaining feedback information from the government safety supervision management platform through the government safety supervision sensor network platform; Determining a 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 a device to be activated based on signal collection requirements, the collection device information, the general device group, and the special device group; generating an activation instruction based on the device to be activated, and sending the activation instruction to the device object platform via the gas company sensor network platform to activate the device to be activated, thereby obtaining an activation collection device; Determining signal acquisition parameters based on the signal acquisition requirements and updating the signal acquisition parameters corresponding to the general device group based on the signal acquisition requirements; The signal acquisition parameters are sent to the device object platform through the gas company sensor network platform to control the activation acquisition device and the operation acquisition device to perform signal acquisition according to the signal acquisition parameters to obtain a gas network signal; In response to the failure of activation of the device to be activated, determining a replacement collection device based on the collection device information; as well as, Based on the alternative acquisition device, a backup device instruction is generated, and the backup device instruction is sent to the device object platform through the gas company sensor network platform to control the alternative acquisition device to perform signal acquisition.

6. The Internet of Things system according to claim 5, wherein: The gas company management platform is further configured to: Determining at least one acquisition device group based on the acquisition device information, the signal acquisition requirement, the activated acquisition device, and the running acquisition device; as well as, Based on the signal acquisition requirement and the acquisition device information, signal acquisition parameters corresponding to the at least one acquisition device group are determined.

7. The Internet of Things system according to claim 6, wherein: The gas company management platform is further configured to: Determining an acquisition priority based on the signal acquisition requirements; and The signal acquisition parameters corresponding to the at least one acquisition device group are determined based on the acquisition priority and the acquisition device information.

8. The Internet of Things system according to claim 7, wherein: The gas company management platform is further configured to: Determining the acquisition priority based on the signal acquisition requirements and feedback information; and determining the signal acquisition parameters corresponding to the at least one acquisition device group based on the acquisition priority and a second device group, the second device group including the general device group and the special device group; The general device group includes the signal acquisition devices whose overlap in the pipeline area is greater than the overlap threshold; the special device group includes the signal acquisition devices whose overlap in the pipeline area is not greater than the overlap threshold; the overlap represents the versatility of the signal acquisition device.

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